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Appl. Sci., Volume 11, Issue 17 (September-1 2021) – 508 articles

Cover Story (view full-size image): Currently, there is considerable interest in the development of specific, sensitive, low-cost, and portable optoelectronic instrumentation, specially adapted to optical (bio)chemical sensing. In this context recent developments of novel sensitive and selective materials play an important role when it is required the measurement of chemical and biochemical species. The use of optical fibers in combination to chemical sensing materials allows the development of robust instrumentation for monitoring of target analytes in areas such as the chemical industry, biotechnology, medicine, environmental sciences, etc. On the other hand, advanced measurement methods, such as ratiometric measurements are an alternative to classical intensity or lifetime measurements. View this paper
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28 pages, 2033 KiB  
Review
Data Harmonization for Heterogeneous Datasets: A Systematic Literature Review
by Ganesh Kumar, Shuib Basri, Abdullahi Abubakar Imam, Sunder Ali Khowaja, Luiz Fernando Capretz and Abdullateef Oluwagbemiga Balogun
Appl. Sci. 2021, 11(17), 8275; https://doi.org/10.3390/app11178275 - 6 Sep 2021
Cited by 30 | Viewed by 10196
Abstract
As data size increases drastically, its variety also increases. Investigating such heterogeneous data is one of the most challenging tasks in information management and data analytics. The heterogeneity and decentralization of data sources affect data visualization and prediction, thereby influencing analytical results accordingly. [...] Read more.
As data size increases drastically, its variety also increases. Investigating such heterogeneous data is one of the most challenging tasks in information management and data analytics. The heterogeneity and decentralization of data sources affect data visualization and prediction, thereby influencing analytical results accordingly. Data harmonization (DH) corresponds to a field that unifies the representation of such a disparate nature of data. Over the years, multiple solutions have been developed to minimize the heterogeneity aspects and disparity in formats of big-data types. In this study, a systematic review of the literature was conducted to assess the state-of-the-art DH techniques. This study aimed to understand the issues faced due to heterogeneity, the need for DH and the techniques that deal with substantial heterogeneous textual datasets. The process produced 1355 articles, but among them, only 70 articles were found to be relevant through inclusion and exclusion criteria methods. The result shows that the heterogeneity of structured, semi-structured, and unstructured (SSU) data can be managed by using DH and its core techniques, such as text preprocessing, Natural Language Preprocessing (NLP), machine learning (ML), and deep learning (DL). These techniques are applied to many real-world applications centered on the information-retrieval domain. Several assessment criteria were implemented to measure the efficiency of these techniques, such as precision, recall, F-1, accuracy, and time. A detailed explanation of each research question, common techniques, and performance measures is also discussed. Lastly, we present readers with a detailed discussion of the existing work, contributions, and managerial and academic implications, along with the conclusion, limitations, and future research directions. Full article
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<p>SLR process.</p>
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<p>Process of identifying relevant studies.</p>
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<p>Studies selected per year.</p>
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<p>Chlorophet map showing the worldwide distribution of publications by countries.</p>
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11 pages, 3122 KiB  
Article
Effects of Glutathione Diminishment on the Immune Responses against Mycobacterium tuberculosis Infection
by Ruoqiong Cao, Afsal Kolloli, Ranjeet Kumar, James Owens, Kayvan Sasaninia, Charles Vaughn, Mohkam Singh, Edward Truong, Nala Kachour, Abrianna Beever, Wael Khamas, Selvakumar Subbian and Vishwanath Venketaraman
Appl. Sci. 2021, 11(17), 8274; https://doi.org/10.3390/app11178274 - 6 Sep 2021
Cited by 9 | Viewed by 4045
Abstract
Mycobacterium tuberculosis (M. tb), the causative agent of tuberculosis (TB), continues to be a global health burden. We have reported that patients with marked deficiency in the production of glutathione (GSH) had impaired granulomatous effector responses against M. tb infection, which were [...] Read more.
Mycobacterium tuberculosis (M. tb), the causative agent of tuberculosis (TB), continues to be a global health burden. We have reported that patients with marked deficiency in the production of glutathione (GSH) had impaired granulomatous effector responses against M. tb infection, which were restored when supplementing patients with liposomal GSH (lGSH). However, the effects of GSH deficiency in the lung parenchyma in altering granuloma formation and effector responses against M. tb infection remain unexplored. We aim to elucidate the effects of diethyl maleate (DEM)-induced GSH deficiency during an active M. tb infection in an in vivo mouse model. We assessed for total and reduced GSH levels, malondialdehyde (MDA) levels, cytokine profiles, granuloma formation and M. tb burden. DEM administration significantly diminished total and reduced GSH levels in the lungs and plasma and increased MDA levels in infected mice compared to sham-treated controls. DEM treatment was also associated with an increase in IL-6, TNF-α and ill-formed granulomas in infected mice. Furthermore, M. tb survival was significantly increased along with a higher pulmonary and extrapulmonary bacterial load following DEM treatment. Overall, GSH deficiency led to increased oxidative stress, impaired granuloma response, and increased M. tb survival in infected mice. These findings can provide insight into how GSH deficiency can interfere with the control of M. tb infection and avenues for novel therapeutic approaches. Full article
(This article belongs to the Special Issue Polydopamine Nanomaterials: Synthesis and Applications)
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<p>Measurement of total and reduced forms of glutathione in the lung lysates and plasma of <span class="html-italic">M. tb</span> infected mice that were sham-treated or treated with DEM. Total glutathione was measured in the plasma and lung lysates of <span class="html-italic">M. tb</span> infected mice at 2 weeks (<b>A</b>,<b>C</b>) and 4 weeks (<b>B</b>,<b>D</b>) post-infection. Reduced form of glutathione was also measured in the lung lysates and plasma of <span class="html-italic">M. tb</span> infected mice at 2 weeks (<b>E</b>,<b>F</b>) and 4 weeks (<b>G</b>,<b>H</b>) post-infection. Statistical analysis was performed using GraphPad Prism software. Unpaired <span class="html-italic">t</span> tests were performed using Welsch correction. All values reported represent the mean values for each respective category and a <span class="html-italic">p</span>-value of &lt;0.05 was considered significant. Any placement of an asterisk (*) denotes a direct comparison of the DEM-treated versus untreated category. ** <span class="html-italic">p</span>-value &lt; 0.005. The sample size (<span class="html-italic">n</span>) includes six mice each in the untreated and DEM-treated groups.</p>
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<p>Measurement of total and reduced forms of glutathione in the lung lysates and plasma of <span class="html-italic">M. tb</span> infected mice that were sham-treated or treated with DEM. Total glutathione was measured in the plasma and lung lysates of <span class="html-italic">M. tb</span> infected mice at 2 weeks (<b>A</b>,<b>C</b>) and 4 weeks (<b>B</b>,<b>D</b>) post-infection. Reduced form of glutathione was also measured in the lung lysates and plasma of <span class="html-italic">M. tb</span> infected mice at 2 weeks (<b>E</b>,<b>F</b>) and 4 weeks (<b>G</b>,<b>H</b>) post-infection. Statistical analysis was performed using GraphPad Prism software. Unpaired <span class="html-italic">t</span> tests were performed using Welsch correction. All values reported represent the mean values for each respective category and a <span class="html-italic">p</span>-value of &lt;0.05 was considered significant. Any placement of an asterisk (*) denotes a direct comparison of the DEM-treated versus untreated category. ** <span class="html-italic">p</span>-value &lt; 0.005. The sample size (<span class="html-italic">n</span>) includes six mice each in the untreated and DEM-treated groups.</p>
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<p>Measurement of IL-6 in the lung lysates and plasma of <span class="html-italic">M. tb</span> infected mice that were sham-treated or treated with DEM. IL-6 levels were measured in the lung lysates at 4 weeks (<b>A</b>) and 8 weeks (<b>B</b>) post-infection and in the plasma at 2 weeks (<b>C</b>), 4 weeks (<b>D</b>), and 8 weeks (<b>E</b>) post-<span class="html-italic">M. tb</span> infection. Statistical analysis was performed using GraphPad Prism software. Unpaired <span class="html-italic">t</span> tests were performed using Welsch correction. All values reported are representative of the mean values for each respective category and a <span class="html-italic">p</span>-value of &lt;0.05 was considered significant. Any placement of an asterisk (*) denotes a direct comparison of the DEM-treated versus the untreated category. ** <span class="html-italic">p</span>-value &lt; 0.005. When three asterisks are represented (***), a <span class="html-italic">p</span>-value below 0.0001 is implied. The sample size (<span class="html-italic">n</span>) includes six mice each in the untreated and DEM-treated groups.</p>
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<p>Measurement of TNF-α in the lung lysates and plasma of <span class="html-italic">M. tb</span> infected mice that were sham-treated or treated with DEM. Levels of TNF-α were measured in the lung lysates at 8 weeks (<b>A</b>) post-infection and in the plasma at 4 weeks (<b>B</b>) and 8 weeks (<b>C</b>) post-<span class="html-italic">M. tb</span> infection. Statistical analysis was performed using GraphPad Prism software. Unpaired <span class="html-italic">t</span> tests were performed using Welsch correction. All values reported are representative of the mean values for each respective category and a <span class="html-italic">p</span>-value of &lt;0.05 was considered significant. Any placement of an asterisk (*) denotes a direct comparison of the DEM-treated versus the untreated category. The sample size (<span class="html-italic">n</span>) includes six mice each in the untreated and DEM-treated groups.</p>
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<p>Measurement of MDA in the lung lysates and plasma of <span class="html-italic">M. tb</span> infected mice that were sham-treated or treated with DEM. MDA levels were measured in the plasma at 4 weeks (<b>A</b>) and 8 weeks (<b>B</b>) post-<span class="html-italic">M. tb</span> infection. Statistical analysis was performed using GraphPad Prism software. Unpaired <span class="html-italic">t</span> tests were performed using Welsch correction. All values reported are representative of the mean values for each respective category and a <span class="html-italic">p</span>-value of &lt;0.05 was considered significant. Any placement of an asterisk (*) denotes a direct comparison of the DEM-treated versus the untreated category. The sample size (<span class="html-italic">n</span>) includes six mice each in the untreated and DEM-treated groups.</p>
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<p>Survival of <span class="html-italic">M. tb</span> in the lung and spleen of mice that were sham-treated or treated with DEM. Survival of <span class="html-italic">M. tb</span> was determined in the lung lysates at 2 weeks (<b>A</b>), 4 weeks (<b>B</b>) and 8 weeks (<b>C</b>) post-infection and in the spleen lysates at 2 weeks (<b>D</b>), 4 weeks (<b>E</b>) and 8 weeks (<b>F</b>) post-<span class="html-italic">M. tb</span> infection. Statistical analysis was performed using GraphPad Prism software. Unpaired <span class="html-italic">t</span> tests were performed using Welsch correction. All values reported are representative of the mean values for each respective category and a p-value of &lt;0.05 was considered significant. Any placement of an asterisk (*) denotes a direct comparison of the DEM-treated versus the untreated category. ** <span class="html-italic">p</span>-value &lt; 0.005. The sample size (<span class="html-italic">n</span>) includes six mice each in the untreated and DEM-treated groups.</p>
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<p>Morphometric analysis and hematoxylin and eosin staining of lung tissue sections of <span class="html-italic">M. tb</span>-infected mice that were sham-treated or treated with DEM. Morphometric analysis was performed in the mouse lung sections stained with hematoxylin and eosin at 4 weeks (<b>A</b>) and 8 weeks (<b>B</b>) post-<span class="html-italic">M. tb</span> infection. 10× (<b>C</b>,<b>E</b>,<b>G</b>,<b>I</b>) and 40× (<b>D</b>,<b>F</b>,<b>H</b>,<b>J</b>) images of hematoxylin and eosin-stained lung sections of mice at 4 weeks (<b>C</b>–<b>F</b>) and 8 weeks (<b>G</b>–<b>J</b>) post-<span class="html-italic">M. tb</span> infection are presented. The sample size (<span class="html-italic">n</span>) includes six mice each in the untreated and DEM-treated groups.</p>
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18 pages, 7971 KiB  
Article
Immunomodulatory Effects of Pentoxifylline: Profiling Data Based on RAW 264.7 Cellular Signaling
by Mi Hyun Seo, Mi Young Eo, Truc Thi Hoang Nguyen, Hoon Joo Yang and Soung Min Kim
Appl. Sci. 2021, 11(17), 8273; https://doi.org/10.3390/app11178273 - 6 Sep 2021
Cited by 2 | Viewed by 3125
Abstract
Pentoxifylline (PTX) is a methylxanthine derivative that has been developed as an immunomodulatory agent and an improvement of microcirculation. Osteoradionecrosis (ORN) is a serious complication of radiation therapy due to hypovascularity. Coronavirus disease 2019 (COVID-19) has spread globally. Symptoms for this disease include [...] Read more.
Pentoxifylline (PTX) is a methylxanthine derivative that has been developed as an immunomodulatory agent and an improvement of microcirculation. Osteoradionecrosis (ORN) is a serious complication of radiation therapy due to hypovascularity. Coronavirus disease 2019 (COVID-19) has spread globally. Symptoms for this disease include self-limiting respiratory tract illness to severe pneumonia and acute respiratory distress. In this study, the effects of PTX on RAW 264.7 cells were investigated to reveal the possibility of PTX as a therapeutic agent for ORN and COVID-19. To reveal PTX effects at the cellular level, protein expression profiles were analyzed in the PTX-treated RAW 264.7 cells by using immunoprecipitation high-performance liquid chromatography (IP-HPLC). PTX-treated RAW 264.7 cells showed increases in immunity- and osteogenesis-related proteins and concurrent decreases in proliferation-, matrix inflammation-, and cellular apoptosis-related proteins expressions. The IP-HPLC results indicate that PTX plays immunomodulatory roles in RAW 264.7 cells by regulating anti-inflammation-, proliferation-, immunity-, apoptosis-, and osteogenesis-related proteins. These results suggest that PTX may be used as supplement medications for ORN as well as for COVID-19. Full article
(This article belongs to the Special Issue COVID-19: Impact on Human Health and Behavior)
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Graphical abstract

Graphical abstract
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<p>(<b>a</b>) Changes of proliferation-related proteins after PTX treatment in RAW 264.7 cells; (<b>b</b>) changes to cMyc/MAX/MAD signaling proteins after PTX treatment in RAW 264.7 cells; (<b>c</b>) changes to p53/Rb/E2F signaling-related proteins after PTX treatment in RAW 264.7 cells. Left-sided graph shows changes of protein expressions according to the application time of PTX, blue bar; control group, red bar; 12 h treatment of PTX, green bar; 24 h treatment of PTX, purple bar; 48 h treatment of PTX. Right-sided polygonal graph shows protein expression profiles after 12 h treatment of PTX.</p>
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<p>(<b>a</b>) Changes to epigenetic modification-related proteins after PTX treatment in RAW 264.7 cells; (<b>b</b>) changes to protein translation-related proteins after PTX treatment in RAW 264.7 cells; (<b>c</b>) changes in cellular differentiation-related proteins after PTX treatment in RAW 264.7 cells. Left-sided graph shows changes in protein expression according to the application time of PTX, blue bar; control group, red bar; 12 h treatment of PTX, green bar; 24 h treatment of PTX, purple bar; 48 h treatment of PTX. Right-sided polygonal graph shows protein expression profiles after 12 h treatment of PTX. (JPG 916 kb).</p>
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<p>(<b>a</b>). Changes to RAS signaling-related proteins after PTX treatment in RAW 264.7 cells; (<b>b</b>) changes to NFκB signaling-related proteins after PTX treatment in RAW 264.7 cells; (<b>c</b>) changes to growth factor-related proteins after PTX treatment in RAW 264.7 cells. Left-sided graph shows changes of protein expressions according to the application time of PTX, blue bar; control group, red bar; 12 h treatment of PTX, green bar; 24 h treatment of PTX, purple bar; 48 h treatment of PTX. Right-sided polygonal graph shows protein expression profiles after 12 h treatment of PTX. (JPG 1.05 MB).</p>
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<p>(<b>a</b>) Changes to immunity and inflammation-upregulated proteins after PTX treatment in RAW 264.7 cells. Left-sided graph shows changes to protein expression according to the application time of PTX, blue bar; control group, red bar; 12 h treatment of PTX, green bar; 24 h treatment of PTX, purple bar; 48 h treatment of PTX. Right-sided polygonal graph shows protein expression profiles after 12 h treatment of PTX. (<b>b</b>) Changes to immunity and inflammation down-regulated proteins after PTX treatment in RAW 264.7 cells. Left-sided line graft shows changes to protein expressions after PTX treatment over time. Right-sided polygonal graph shows protein expression profiles after 12 h treatment of PTX.</p>
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<p>(<b>a</b>) Changes to p53 mediated apoptosis-related proteins after PTX treatment in RAW 264.7 cells; (<b>b</b>) changes to FAS-mediated apoptosis-related proteins after PTX treatment in RAW 264.7 cells. Left-sided graph shows changes to protein expression according to the application time of PTX, blue bar; control group, red bar; 12 h treatment of PTX, green bar; 24 h treatment of PTX, purple bar; 48 h treatment of PTX. Right-sided polygonal graph shows protein expression profiles after 12 h treatment of PTX.</p>
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<p>(<b>a</b>) Changes to cellular protection and survival-related proteins after PTX treatment in RAW 264.7 cells; (<b>b</b>) changes to antioxidant-related proteins after PTX treatment in RAW 264.7 cells; (<b>c</b>) changes to angiogenesis-related proteins in after PTX treatment in RAW 264.7 cells. Left-sided graph shows changes to protein expressions according to the application time of PTX, blue bar; control group, red bar; 12 h treatment of PTX, green bar; 24 h treatment of PTX, purple bar; 48 h treatment of PTX. Right-sided polygonal graph shows protein expression profiles after 12 h treatment of PTX.</p>
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<p>Changes to oncogenic proteins after PTX treatment in RAW 264.7 cells. Left-sided graph shows changes to protein expressions according to the application time of PTX, blue bar; control group, red bar; 12 h treatment of PTX, green bar; 24 h treatment of PTX, purple bar; 48 h treatment of PTX. Right-sided polygonal graph shows protein expression profiles after 12 h treatment of PTX. (JPG 342 kb).</p>
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<p>Changes to osteogenesis-related proteins after PTX treatment in RAW 264.7 cells. Left-sided graph shows changes to protein expressions according to the application time of PTX, blue bar; control group, red bar; 12 h treatment of PTX, green bar; 24 h treatment of PTX, purple bar; 48 h treatment of PTX. Right-sided polygonal graph shows protein expression profiles after 12 h treatment of PTX.</p>
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<p>Global protein expression diagrams showing the effects of PTX on RAW 264.7 cells after 12 h treatment. Up-regulated (red dots) and down-regulated (blue dots) proteins are displayed in this diagram. PTX down-regulated the proliferation-, apoptosis-, inflammation-, oncogenic-related proteins and up-regulated the osteogenesis-related proteins.</p>
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15 pages, 4628 KiB  
Article
A Hybrid Data-Fusion System by Integrating CFD and PNN for Structural Damage Identification
by Chun Fu and Shaofei Jiang
Appl. Sci. 2021, 11(17), 8272; https://doi.org/10.3390/app11178272 - 6 Sep 2021
Cited by 6 | Viewed by 2377
Abstract
Recently, a variety of intelligent structural damage identification algorithms have been developed and have obtained considerable attention worldwide due to the advantages of reliable analysis and high efficiency. However, the performances of existing intelligent damage identification methods are heavily dependent on the extracted [...] Read more.
Recently, a variety of intelligent structural damage identification algorithms have been developed and have obtained considerable attention worldwide due to the advantages of reliable analysis and high efficiency. However, the performances of existing intelligent damage identification methods are heavily dependent on the extracted signatures from raw signals. This will lead to the intelligent damage identification method becoming the optimal solution for actual application. Furthermore, the feature extraction and neural network training are time-consuming tasks, which affect the real-time performance in identification results directly. To address these problems, this paper proposes a new intelligent data fusion system for damage detection, combining the probabilistic neural network (PNN), data fusion technology with correlation fractal dimension (CFD). The intelligent system consists of three modules (models): the eigen-level fusion model, the decision-level fusion model and a PNN classifier model. The highlight points of this system are these three intelligent models specialized in certain situations. The eigen-level model is specialized in the case of measured data with enormous samples and uncertainties, and for the case of confidence level of each sensor is determined ahead, the decision-level model is the best choice. The single PNN model is considered only when the data collected is somehow limited, or few sensors have been installed. Numerical simulations of a two-span concrete-filled steel tubular arch bridge in service and a seven-storey steel frame in laboratory were used to validate the hybrid system by identifying both single- and multi-damage patterns. The results show that the hybrid data-fusion system has excellent performance of damage identification, and also has superior capability of anti-noise and robustness. Full article
(This article belongs to the Section Civil Engineering)
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<p>Architecture of the hybrid data-fusion system.</p>
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<p>Single PNN classifier model for damage detection.</p>
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<p>Eigen-level data fusion model for damage detection.</p>
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<p>Hong Fu bridge in Dong Wan.</p>
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<p>The element model of the arch bridge.</p>
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<p>The number of an arch rib element.</p>
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<p>Performance comparison of three models.</p>
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<p>Seven-storey steel frame model.</p>
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<p>Schematic diagram of damage magnitude.</p>
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14 pages, 3066 KiB  
Article
Theoretical Evaluation of Microwave Ablation Applied on Muscle, Fat and Bone: A Numerical Study
by Cheng Chen, Ming-An Yu, Lin Qiu, Hong-Yu Chen, Zhen-Long Zhao, Jie Wu, Li-Li Peng, Zhi-Liang Wang and Ruo-Xiu Xiao
Appl. Sci. 2021, 11(17), 8271; https://doi.org/10.3390/app11178271 - 6 Sep 2021
Cited by 11 | Viewed by 2833
Abstract
(1) Background: Microwave ablation (MWA) is a common tumor ablation surgery. Because of the high temperature of the ablation antenna, it is strongly destructive to surrounding vital tissues, resulting in high professional requirements for clinicians. The method used to carry out temperature observation [...] Read more.
(1) Background: Microwave ablation (MWA) is a common tumor ablation surgery. Because of the high temperature of the ablation antenna, it is strongly destructive to surrounding vital tissues, resulting in high professional requirements for clinicians. The method used to carry out temperature observation and damage prediction in MWA is significant; (2) Methods: This work employs numerical study to explore temperature distribution of typical tissues in MWA. Firstly, clinical MWA based on isolated biological tissue is implemented. Then, the Pennes models and microwave radiation physics are established based on experimental parameters and existing related research. Initial values and boundary conditions are adjusted to better meet the real clinical materials and experimental conditions. Finally, clinical MWA data test this model. On the premise that the model is matched with clinical MWA, fat and bone are deduced for further heat transfer analysis. (3) Results: Numerical study obtains the temperature distribution of biological tissue in MWA. It observes the heat transfer law of ablation antenna in biological tissue. Additionally, combined with temperature threshold, it generates thermal damage of biological tissues and predicts the possible risks in MWA; (4) Conclusions: This work proposes a numerical study of typical biological tissues. It provides a new theoretical basis for clinically thermal ablation surgery. Full article
(This article belongs to the Special Issue Nano/Microscale Heat Transfer)
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<p>Schematic diagram of biological tissue model. (<b>a</b>) Geometric structure and parameters of biological tissue model. (<b>b</b>) A free triangular grid in biological tissue model. Its cylindrical coordinate mainly analyzes d and z directions.</p>
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<p>Temperature distribution at thermometric sequence near ablation antenna and MWA.</p>
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<p>Temperature cloud map at 30 s, 60 s, 90 s, and 120 s. The 30 s and 60 s belong to the heating period, and 90 s and 120 s belong to the cooling period. (<b>a</b>) Temperature cloud map of muscle; (<b>b</b>) Temperature cloud map of fat; (<b>c</b>) Temperature cloud map of bone.</p>
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<p>Temperature cloud map near ablation antenna.</p>
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<p>Temperature distribution at the horizontal thermometric sequence of the highest temperature point near ablation antenna. (<b>a</b>) Temperature distribution from muscle; (<b>b</b>) Temperature distribution from fat; (<b>c</b>) Temperature distribution from the bone.</p>
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<p>Damage fraction cloud map at 15 s, 30 s, 45 s, 60 s, 75 s. Damage fraction is calculated by temperature threshold. Its damage temperature <math display="inline"><semantics> <mrow> <msub> <mi>T</mi> <mi>d</mi> </msub> </mrow> </semantics></math> is set to 50 °C, and necrosis temperature <math display="inline"><semantics> <mrow> <msub> <mi>T</mi> <mi>n</mi> </msub> </mrow> </semantics></math> is set to 80 °C. Damage time is set to 15 s. (<b>a</b>) Damage fraction cloud map of muscle; (<b>b</b>) Damage fraction cloud map of fat; (<b>c</b>) Damage fraction cloud map of bone.</p>
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<p>Damage fraction of three sequence points (z = 10 mm, z = 12 mm and z = 18 mm). All points recorded from 0 to 120 s are plotted. Bone damage fraction is additionally calculated at z = 5 mm. (<b>a</b>) Damage fraction from muscle; (<b>b</b>) Damage fraction from fat; (<b>c</b>) Damage fraction from bone.</p>
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13 pages, 4878 KiB  
Article
An Evaluation of the Demineralizing Effects of Various Acidic Solutions
by Agnes Kolumban, Marioara Moldovan, Ioan Andrei Țig, Ioana Chifor, Stanca Cuc, Marius Bud and Mindra Eugenia Badea
Appl. Sci. 2021, 11(17), 8270; https://doi.org/10.3390/app11178270 - 6 Sep 2021
Cited by 6 | Viewed by 4516
Abstract
The purpose of this study was to evaluate which of the techniques and acids included in this in vitro research can induce artificial caries lesions in the most natural way. White spot lesions were created using six different demineralizing solutions in liquid form [...] Read more.
The purpose of this study was to evaluate which of the techniques and acids included in this in vitro research can induce artificial caries lesions in the most natural way. White spot lesions were created using six different demineralizing solutions in liquid form (lactic acid; orthophosphoric acid; formic acid; and an acid solution that contains calcium chloride, sodium phosphate and acetic acid) and gel form (hydrochloric acid and orthophosphoric acid). Radiographs, photographs and readings with a DIAGNODent™ pen, VITA Easyshade and a scanning electron microscope (SEM) were made in the initial situation, after 30 min, 1 h, 24 h and 96 h of demineralization. The total color change (ΔE) values in most cases presented statistically significant differences. SEM images showed different aspects of the enamel surface for each type of acid. Only in the case of exposed dentine did the DIAGNODent™ pen record significant differences. There was no noticeable radio-translucency of the teeth treated for a short period of time, but after 24 h, the absence of enamel and major demineralization of dentine were visible. Acids in the liquid state can penetrate and demineralize dental structures deeper than those that are more viscous. This study should be repeated with a protocol that includes remineralization. Using weaker acids would be another direction that could lead to more interesting findings. Full article
(This article belongs to the Section Applied Dentistry and Oral Sciences)
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<p>(<b>a</b>) The initial aspect of a tooth. (<b>b</b>) Hydrochloric acid in action. (<b>c</b>) After 30 min of demineralization. (<b>d</b>) After 1 h of demineralization. (<b>e</b>) After 24 h of demineralization. (<b>f</b>) After 96 h of demineralization.</p>
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<p>The enamel after being placed for 30 min in: (<b>a</b>) hydrochloric acid; (<b>b</b>) orthophosphoric acid; (<b>c</b>) lactic acid; (<b>d</b>) orthophosphoric acid solution; (<b>e</b>) formic acid; (<b>f</b>) CaCl<sub>2</sub>, NaH<sub>2</sub>PO<sub>4</sub> and acetic acid solution.</p>
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<p>The enamel after being placed for 1 h in: (<b>a</b>) hydrochloric acid; (<b>b</b>) orthophosphoric acid; (<b>c</b>) lactic acid; (<b>d</b>) orthophosphoric acid solution; (<b>e</b>) formic acid; (<b>f</b>) CaCl<sub>2</sub>, NaH<sub>2</sub>PO<sub>4</sub> and acetic acid solution.</p>
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<p>The enamel after being placed for 24 h in: (<b>a</b>) hydrochloric acid; (<b>b</b>) orthophosphoric acid; (<b>c</b>) lactic acid; (<b>d</b>) orthophosphoric acid solution; (<b>e</b>) formic acid; (<b>f</b>) CaCl<sub>2</sub>, NaH<sub>2</sub>PO<sub>4</sub> and acetic acid solution.</p>
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<p>The enamel after being placed for 96 h in: (<b>a</b>) hydrochloric acid; (<b>b</b>) orthophosphoric acid; (<b>c</b>) lactic acid; (<b>d</b>) orthophosphoric acid solution; (<b>e</b>) formic acid; (<b>f</b>) CaCl<sub>2</sub>, NaH<sub>2</sub>PO<sub>4</sub> and acetic acid solution.</p>
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<p>The SEM aspect of the teeth demineralized for 96 h in: (<b>a</b>) hydrochloric acid; (<b>b</b>) orthophosphoric acid; (<b>c</b>) lactic acid; (<b>d</b>) orthophosphoric acid solution; (<b>e</b>) formic acid; (<b>f</b>) CaCl<sub>2</sub>, NaH<sub>2</sub>PO<sub>4</sub> and acetic acid solution.</p>
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<p>ΔE values for the acidic solutions used.</p>
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<p>The changes in time for each acidic solution.</p>
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<p>The mean values measured with the DIAGNODent™ pen.</p>
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<p>The radiologic aspect of the teeth before and after demineralization for 24 h with (<b>a</b>) hydrochloric acid gel; (<b>b</b>) orthophosphoric acid solution; (<b>c</b>) orthophosphoric gel.</p>
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21 pages, 3571 KiB  
Article
Can ISO GPS and ASME Tolerancing Systems Define the Same Functional Requirements?
by Zbigniew Humienny
Appl. Sci. 2021, 11(17), 8269; https://doi.org/10.3390/app11178269 - 6 Sep 2021
Cited by 6 | Viewed by 21888
Abstract
Geometrical tolerances are defined in the ISO Geometrical Product Specification system that is used worldwide, but on the other hand, the ASME Y14.5 standard is used in American companies to define how far actual parts may be away from their nominal geometry. This [...] Read more.
Geometrical tolerances are defined in the ISO Geometrical Product Specification system that is used worldwide, but on the other hand, the ASME Y14.5 standard is used in American companies to define how far actual parts may be away from their nominal geometry. This paper aimed to investigate whether specifications defining acceptable geometrical deviations in one system can be transformed to specifications in the other system. Twelve selected cases are discussed in the paper. Particularly, two cases of size tolerance, three cases of form tolerances, one case of orientation tolerance, four cases of position tolerance (including position tolerance with MMR for the pattern of five holes) and, finally, two cases of surface profile tolerance (unequally disposed tolerance zone and dynamic profile tolerance). The issue is not only in the several different symbols and a set of different defaults, but also in the different meanings and different application contexts of some symbols that have the same graphical form. The answer to the question raised in the paper title is yes for the majority of indications specified according to ASME Y14.5 when new tools from the 2017 edition of ISO 1101 are applied. Full article
(This article belongs to the Special Issue New Trends in Manufacturing Metrology)
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Figure 1
<p>(<b>a</b>) The size tolerance applied to a pin (ASME Y14.5); (<b>b</b>) meaning.</p>
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<p>(<b>a</b>) Shaft with limit sizes specified according to the ISO GPS system indications with requirements equivalent to those given in <a href="#applsci-11-08269-f001" class="html-fig">Figure 1</a>a (ASME Y14.5); (<b>b</b>) the envelope requirement (ISO GPS) is not fully in line with requirements given in <a href="#applsci-11-08269-f001" class="html-fig">Figure 1</a>a.</p>
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<p>(<b>a</b>) Two coaxial holes shall be considered as one feature of size (ASME Y14.5); (<b>b</b>) common tolerance with the envelope requirement is applied to two separate single features of size to consider them as one feature of size (ISO GPS). To accept a part in both tolerancing systems, one cylinder with a diameter not less than 18 mm shall be inscribed into two holes simultaneously.</p>
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<p>(<b>a</b>) Shaft with straightness tolerance for derived median line and size tolerance (ASME Y14.5); (<b>b</b>) shaft with straightness tolerance for derived median line and size tolerance (ISO GPS). Local sizes are defined differently.</p>
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<p>In the ISO GPS system, the straightness tolerance for derived median line and the size tolerance with modifier local size defined by a sphere (letters LS placed in in the elongated circle) defines identical requirements as the specifications given in <a href="#applsci-11-08269-f004" class="html-fig">Figure 4</a>a.</p>
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<p>(<b>a</b>) Roundness tolerance—the default measuring conditions apply (ASME Y14.5); (<b>b</b>) roundness tolerance—to indicate the same measuring parameters in the ISO GPS system, measuring conditions should be directly specified.</p>
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<p>(<b>a</b>) Specification of surface profile tolerance for coplanar surfaces (ASME Y14.5); (<b>b</b>) each surface shall be within two parallel planes 0.06 mm apart. Two sets of parallel planes are coplanar. The right surface of the actual part is out of the tolerance zone—the requirement is not satisfied.</p>
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<p>The combination specification element CZ in the ISO GPS system controls top surfaces in the same way as the ASME Y14.5 specification given in <a href="#applsci-11-08269-f007" class="html-fig">Figure 7</a>a.</p>
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<p>(<b>a</b>) Specification of perpendicularity tolerance for the pin with respect to the bottom of its flange (ASME Y14.5); (<b>b</b>) minimum circumscribed cylinder axis within the cylindrical tolerance zone.</p>
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<p>(<b>a</b>) Specification of perpendicularity tolerance for the pin with respect to the bottom of its flange (ISO GPS) equivalent to the specification given in <a href="#applsci-11-08269-f009" class="html-fig">Figure 9</a>a; (<b>b</b>) perpendicularity deviation assessed according to ASME Y14.5 definition may be greater than that assessed according to the default ISO GPS meaning that controls the derived median line of the toleranced feature.</p>
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<p>(<b>a</b>) Specification of position tolerance for flange with respect to the datum axis (ASME Y14.5); (<b>b</b>) minimum circumscribed cylinder axis shall be within the cylindrical tolerance zone.</p>
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<p>(<b>a</b>) Coaxiality tolerance for flange with respect to datum axis A (ISO GPS), equivalent to the specification given in <a href="#applsci-11-08269-f011" class="html-fig">Figure 11</a>a; (<b>b</b>) for coaxiality tolerance, TED = 0 mm is obvious. If the offset between the axes in a complex part will be significantly smaller, there is a risk for the position tolerance that a drawing reader will not detect such offset.</p>
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<p>(<b>a</b>) Position tolerance T = 0.15 mm locates the pattern with respect to datum system A|B|C, position tolerance T = 0.05 mm refines the mutual location between holes and limits tilting of the pattern with respect to the datum A (ASME Y14.5); (<b>b</b>) tolerance zones—meaning of two level specification.</p>
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<p>The ISO GPS system specification equivalent to the requirement given in <a href="#applsci-11-08269-f013" class="html-fig">Figure 13</a>a.</p>
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<p>(<b>a</b>) Position tolerance T = 0.15 mm locates the pattern with respect to datum system A|B|C, position tolerance T = 0.05 mm refines mutual location between holes and limits rotation of the pattern with respect to the datum system A|B (ASME Y14.5); (<b>b</b>) tolerance zones—meaning of two level specification.</p>
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<p>The ISO GPS system specification equivalent to the requirement given in <a href="#applsci-11-08269-f015" class="html-fig">Figure 15</a>a.</p>
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<p>(<b>a</b>) Two position tolerances shall be verified simultaneously (ASME Y14.5); (<b>b</b>) the material gauge.</p>
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<p>The ISO GPS system specification equivalent to the requirement given in <a href="#applsci-11-08269-f017" class="html-fig">Figure 17</a>a.</p>
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<p>(<b>a</b>) The surface profile tolerance with modifier (ASME Y14.5); (<b>b</b>) meaning—0 mm outside the theoretically exact feature implies that the whole tolerance zone is inside the maximum material boundary.</p>
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<p>(<b>a</b>) The ISO GPS system specification equivalent to the requirement given in <a href="#applsci-11-08269-f019" class="html-fig">Figure 19</a>a; (<b>b</b>) establishment of the tolerance zone according to the ISO GPS system, new offset theoretically exact feature is marked by the dashed line.</p>
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<p>The dynamic surface profile tolerance for the left hole with a complex shape controls its form in similar way as cylindricity tolerance controls the form for the right cylindrical hole (ASME Y14.5).</p>
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<p>Surface profile tolerance zone (T = 0.6 mm) fixed with respect to datum system A|B|C. (<b>a</b>) One of the numerous dynamic tolerance zones (T = 0.1 mm); (<b>b</b>) another of the numerous dynamic tolerance zones (T = 0.1 mm). The dynamic surface profile tolerance zones are free to translate, rotate and uniformly expand or contract.</p>
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<p>The ISO GPS system specification equivalent to the requirement given in <a href="#applsci-11-08269-f021" class="html-fig">Figure 21</a>.</p>
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24 pages, 43617 KiB  
Article
Characterization of Umami Dry-Cured Ham-Derived Dipeptide Interaction with Metabotropic Glutamate Receptor (mGluR) by Molecular Docking Simulation
by Alejandro Heres, Fidel Toldrá and Leticia Mora
Appl. Sci. 2021, 11(17), 8268; https://doi.org/10.3390/app11178268 - 6 Sep 2021
Cited by 9 | Viewed by 2671
Abstract
Dry-cured ham-derived dipeptides, generated along a dry-curing process, are of high importance since they play a role in flavor development of dry-cured ham. The objective of this study was to analyze the residues of the less-studied metabotropic glutamate receptor 1 (mGluR1) implicated in [...] Read more.
Dry-cured ham-derived dipeptides, generated along a dry-curing process, are of high importance since they play a role in flavor development of dry-cured ham. The objective of this study was to analyze the residues of the less-studied metabotropic glutamate receptor 1 (mGluR1) implicated in the recognition of umami dry-cured ham dipeptides by molecular docking simulation using the AutoDock Suite tool. AH, DA, DG, EE, ES, EV, and VG (and glutamate) were found to attach the enzyme with inhibition constants ranging from 12.32 µM (AH) to 875.75 µM (ES) in the case if Rattus norvegicus mGluR1 and 17.44 µM (VG) to 294.68 µM (DG) in the case of Homo sapiens, in the open–open conformations. Main interactions were done with key receptor residues Tyr74, Ser186, Glu292, and Lys409; and Ser165, Ser186, and Asp318, respectively, for the two receptors in the open–open conformations. However, more residues may be involved in the complex stabilization. Specifically, AH, EE and ES relatively established a higher number of H-bonds, but AH, EV, and VG presented relatively lower Ki values in all cases. The results obtained here could provide information about structure and taste relationships and constitute a theoretical reference for the interactions of novel umami food-derived peptides. Full article
(This article belongs to the Special Issue Role and Properties of Proteins and Peptides in Foods)
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<p>Alignment analysis of protein sequences between <span class="html-italic">Rattus norvegicus</span> mGluR1 (PDB ID: 1EWK; UniProt ID: P23385) and <span class="html-italic">Homo sapiens</span> mGluR1 (PDB ID: 3KS9; UniProt ID: Q13255). Identity: 94.01%; identical positions: 1130; similar positions: 41. Fully conserved residues are indicated with “*”; conservation between groups of strongly similar properties is labeled with “:”; a “.” indicates conservation between groups of weakly similar properties; and a blank space signifies none of the above.</p>
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<p>Two-dimensional representation of protein–ligand interactions between <span class="html-italic">Rattus norvegicus</span> closed–open conformation of mGluR1 (PDB ID: 1EWK) and Glu (PubChem ID: 33032), AH (PubChem ID: 9837455), DA (PubChem ID: 5491963), DG (PubChem ID: 151148), EE (PubChem ID: 439500), ES (PubChem ID: 6995653), EV (PubChem ID: 6992567), VG (PubChem ID: 6993111). H bonds are shown as dashed lines, hydrophobic contacts are represented by green splines; the corresponding pocket residues are shown in the same color. Diagrams obtained from the ProteinsPlus PoseView tool, from which E amino acid was predicted to interact with Tyr74, Ser165, Thr188, Ser186, Asp318 and Lys409 by H-bonds; AH, with Tyr74, Ser186, Thr188, Aps318 and Lys409 by H-bonds, Trp110 by π–π stacking and a hydrophobic interaction; DA, with Tyr74, Ser165, Thr188 and Gly293 by H-bonds; DG, with Tyr74, Arg78, Ser165, Ser186, Thr188, Asp318, and Lys409 by H-bonds; EE, with Tyr74, Ser165, Ser186, Thr188, Met294, Gly319, Arg323, and Lys409 by H-bonds and Trp110 by hydrophobic interaction; ES, with Arg71, Tyr74, Arg78, Ser186, Met294, Arg323, and Lys409 by H-bonds and Trp110 by hydrophobic interaction; EV, with Arg71, Tyr74, Glu292, Gly293, Met294, Arg323, and Lys409 by H-bonds and Trp110 by hydrophobic interaction; and VG, with Tyr74, Arg78, Ser186, Asp318, and Lys409 by H-bonds.</p>
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<p>Two-dimensional representation of protein–ligand interactions between <span class="html-italic">Rattus norvegicus</span> closed–open conformation of mGluR1 (PDB ID: 1EWK) and Glu (PubChem ID: 33032), AH (PubChem ID: 9837455), DA (PubChem ID: 5491963), DG (PubChem ID: 151148), EE (PubChem ID: 439500), ES (PubChem ID: 6995653), EV (PubChem ID: 6992567), VG (PubChem ID: 6993111). H bonds are shown as dashed lines, hydrophobic contacts are represented by green splines; the corresponding pocket residues are shown in the same color. Diagrams obtained from the ProteinsPlus PoseView tool, from which E amino acid was predicted to interact with Tyr74, Ser165, Thr188, Ser186, Asp318 and Lys409 by H-bonds; AH, with Tyr74, Ser186, Thr188, Aps318 and Lys409 by H-bonds, Trp110 by π–π stacking and a hydrophobic interaction; DA, with Tyr74, Ser165, Thr188 and Gly293 by H-bonds; DG, with Tyr74, Arg78, Ser165, Ser186, Thr188, Asp318, and Lys409 by H-bonds; EE, with Tyr74, Ser165, Ser186, Thr188, Met294, Gly319, Arg323, and Lys409 by H-bonds and Trp110 by hydrophobic interaction; ES, with Arg71, Tyr74, Arg78, Ser186, Met294, Arg323, and Lys409 by H-bonds and Trp110 by hydrophobic interaction; EV, with Arg71, Tyr74, Glu292, Gly293, Met294, Arg323, and Lys409 by H-bonds and Trp110 by hydrophobic interaction; and VG, with Tyr74, Arg78, Ser186, Asp318, and Lys409 by H-bonds.</p>
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<p>Two-dimensional representation of protein–ligand interactions between <span class="html-italic">Rattus norvegicus</span> open–open conformation of mGluR1 (PDB ID: 1EWT) and Glu (PubChem ID: 33032), AH (PubChem ID: 9837455), DA (PubChem ID: 5491963), DG (PubChem ID: 151148), EE (PubChem ID: 439500), ES (PubChem ID: 6995653), EV (PubChem ID: 6992567), VG (PubChem ID: 6993111). H bonds are shown as dashed lines, hydrophobic contacts are represented by green splines; the corresponding pocket residues are also shown in the same color. Diagrams obtained from the ProteinsPlus PoseView tool, from which E amino acid was predicted to interact with Tyr74, Arg78, Ser186 and Lys409 by H-bonds; AH, with Tyr74, Arg78, Gly163, Ser186 and Lys409 by H-bonds and Ser186 by a hydrophobic interaction; DA, with Arg71 and Lys409 by H-bonds; DG, with Tyr74, Ser186, Lys409 by H-bonds; EE, with Arg71, Arg78, Ser186, Glu292 and Lys409 by H-bonds and Trp110 by hydrophobic interaction; ES, with Tyr74, Asp318 and Lys409 by H-bonds; EV, with Arg71, Tyr74 and Lys409 by H-bonds; and VG, with Arg71, and Glu292 by H-bonds.</p>
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<p>Two-dimensional representation of protein–ligand interactions between <span class="html-italic">Homo sapiens</span> open–open conformation of mGluR1 (PDB ID: 3KS9) and Glu (PubChem ID: 33032), AH (PubChem ID: 9837455), DA (PubChem ID: 5491963), DG (PubChem ID: 151148), EE (PubChem ID: 439500), ES (PubChem ID: 6995653), EV (PubChem ID: 6992567), VG (PubChem ID: 6993111). H bonds are shown as dashed lines, hydrophobic contacts are represented by green splines; the corresponding pocket residues are also shown in the same color. Diagrams obtained from the ProteinsPlus PoseView tool, from which E amino acid was predicted to interact with Tyr74, Arg78, Ser186, and Lys409; AH, with Ser165, Thr188, Asp208, Asp318; DA, with Ser165, Thr188, Asp318, and Lys409; DG, with Ser165, Asp208, Asp318 and Lys409; EE, with Ser165, Thr188, Asp208, and Lys409; ES, with Ser165, Thr188 and Lys409; EV, with Ser165, Thr188, Asp208, Asp318, and Lys409; and VG, with Ser165, Thr188, Asp208, and Asp318. H-bonds were estimated by PoseView to be stabilized in all cases.</p>
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<p>Two-dimensional representation of protein–ligand interactions between <span class="html-italic">Homo sapiens</span> open–open conformation of mGluR1 (PDB ID: 3KS9) and Glu (PubChem ID: 33032), AH (PubChem ID: 9837455), DA (PubChem ID: 5491963), DG (PubChem ID: 151148), EE (PubChem ID: 439500), ES (PubChem ID: 6995653), EV (PubChem ID: 6992567), VG (PubChem ID: 6993111). H bonds are shown as dashed lines, hydrophobic contacts are represented by green splines; the corresponding pocket residues are also shown in the same color. Diagrams obtained from the ProteinsPlus PoseView tool, from which E amino acid was predicted to interact with Tyr74, Arg78, Ser186, and Lys409; AH, with Ser165, Thr188, Asp208, Asp318; DA, with Ser165, Thr188, Asp318, and Lys409; DG, with Ser165, Asp208, Asp318 and Lys409; EE, with Ser165, Thr188, Asp208, and Lys409; ES, with Ser165, Thr188 and Lys409; EV, with Ser165, Thr188, Asp208, Asp318, and Lys409; and VG, with Ser165, Thr188, Asp208, and Asp318. H-bonds were estimated by PoseView to be stabilized in all cases.</p>
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15 pages, 10871 KiB  
Article
Archaeological and Chemical Investigation on the High Imperial Mosaic Floor Mortars of the Domus Integrated in the Museum of Archaeology D. Diogo de Sousa, Braga, Portugal
by Ana Fragata, Jorge Ribeiro, Carla Candeias, Ana Velosa and Fernando Rocha
Appl. Sci. 2021, 11(17), 8267; https://doi.org/10.3390/app11178267 - 6 Sep 2021
Cited by 5 | Viewed by 3000
Abstract
This paper intends to characterize the floor mortar layers (nucleus, rudus and statumen) of the high imperial mosaics of the domus integrated in the Museum of Archeology D. Diogo de Sousa, the oldest roman housing testimonies known in Braga, Portugal. [...] Read more.
This paper intends to characterize the floor mortar layers (nucleus, rudus and statumen) of the high imperial mosaics of the domus integrated in the Museum of Archeology D. Diogo de Sousa, the oldest roman housing testimonies known in Braga, Portugal. It offers an important archaeological and historical contextualization and first chemical characterization attempt on the mortars. The study of 13 mortar samples was carried out at a chemical level through X-ray fluorescence spectroscopy (XRF). All samples presented low lime content when compared to similar studies. A high chemical similarity between nucleus mortars (opus signinum) and chemical composition differences between rudus and statumen mortars was determined, confirmed by statistical analyses. Their composition was distinctly related to the stratigraphic position of each floor mortar layer, following Vitruvius’ model, and to the external conditions and treatments (e.g., capillary rise with soluble salts and application of chemical treatments), to which they were submitted. Full article
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<p>Location of the Stables Archaeological Site in the plan of the roman city, low imperial and medieval walls. Adapted from [<a href="#B19-applsci-11-08267" class="html-bibr">19</a>].</p>
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<p>(<b>a</b>) Geological setting of the study area in the Iberian Peninsula; (<b>b</b>) Braga and the Stables Archaeological site geological context [<a href="#B26-applsci-11-08267" class="html-bibr">26</a>]. Adapted from [<a href="#B27-applsci-11-08267" class="html-bibr">27</a>].</p>
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<p>Stratigraphy of Roman mosaic floor according to Vitruvius’ description [<a href="#B33-applsci-11-08267" class="html-bibr">33</a>].</p>
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<p>Section of the East profile of the mosaic floor of the Museum crypt [<a href="#B24-applsci-11-08267" class="html-bibr">24</a>,<a href="#B34-applsci-11-08267" class="html-bibr">34</a>].</p>
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<p>Mosaic floor layers—<span class="html-italic">nucleus</span> and <span class="html-italic">rudus</span> (<b>left</b>) and statumen (<b>right</b>). (Photos generously provided by MDDS).</p>
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<p>(<b>a</b>) Protection of the area of the structure of the mosaic during the building construction (photo gently provided by MDDS); (<b>b</b>) mosaic floor integrated in the crypt of the Museum of Archeology D. Diogo de Sousa.</p>
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<p>Schematic representation of the mosaic floor of the Museum crypt and sampling areas (Schematic representation gently provided by MDDS).</p>
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<p>Cluster analysis of layer 1 and 2: (<b>a</b>) samples; (<b>b</b>) major elements.</p>
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<p>Dendogram obatined by cluster analyses: (<b>a</b>) samples; (<b>b</b>) trace elements—all groups.</p>
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12 pages, 1058 KiB  
Article
A Statistical Procedure for Analyzing the Behavior of Air Pollutants during Temperature Extreme Events: The Case Study of Emilia-Romagna Region (Northern Italy)
by Maria Ragosta, Mariagrazia D’Emilio, Luciana Casaletto and Vito Telesca
Appl. Sci. 2021, 11(17), 8266; https://doi.org/10.3390/app11178266 - 6 Sep 2021
Cited by 1 | Viewed by 2214
Abstract
Meteorological conditions play a crucial role in air pollution by affecting both directly and indirectly the emissions, transport, formation, and deposition of air pollutants. Extreme weather events can strongly affect surface air quality. Understanding relations between air pollutant concentrations and extreme weather events [...] Read more.
Meteorological conditions play a crucial role in air pollution by affecting both directly and indirectly the emissions, transport, formation, and deposition of air pollutants. Extreme weather events can strongly affect surface air quality. Understanding relations between air pollutant concentrations and extreme weather events is a fundamental step toward improving the knowledge of how excessive heat impacts on air quality. In this work, we developed a statistical procedure for investigating the variations in the correlation structure of four air pollutants (NOx, O3, PM10, PM2.5) during extreme temperature events measured in monitoring sites located of Emilia Romagna region, Northern Italy, in summer (June–August) from 2015 to 2017. For the selected stations, Hot Days (HDs) and Heat Waves (HWs) were identified with respect to historical series of maximum temperature measured for a 30-year period (1971–2000). This method, based on multivariate techniques, allowed us to highlight the variations in air quality of study area due to the occurrence of HWs. The examined data, including PM concentrations, show higher values, whereas NOx and O3 concentrations seem to be not influenced by HWs. This operative procedure can be easily exported in other geographical areas for studying effects of climate change on a local scale. Full article
(This article belongs to the Special Issue New Trends in Air Quality and Climate Change Interlinks)
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<p>Study area and sampling sites. In light grey: Apennine mountains and hill area; in dark grey: west plain area; in white: east plain area; in black: the agglomeration area (Bologna city) (<a href="http://www.arpae.it" target="_blank">www.arpae.it</a>) accessed on 1 July2021.</p>
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<p>Dendrograms of sampling sites.</p>
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<p>Dendrograms of sampling sites.</p>
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12 pages, 2056 KiB  
Article
Strain State in Metal Sheet Axisymmetric Stretching with Variable Initial Thickness: Numerical and Experimental Results
by Gillo Giuliano and Wilma Polini
Appl. Sci. 2021, 11(17), 8265; https://doi.org/10.3390/app11178265 - 6 Sep 2021
Cited by 2 | Viewed by 1943
Abstract
This work presents a finite element model to analyze the distribution of the strains due to an axisymmetric stretching of a metal sheet. The sheet is characterized by a variable initial thickness. The resulting strain state is compared with that of a sheet [...] Read more.
This work presents a finite element model to analyze the distribution of the strains due to an axisymmetric stretching of a metal sheet. The sheet is characterized by a variable initial thickness. The resulting strain state is compared with that of a sheet with a constant initial thickness. The results of the present study allow asserting that the distribution of strains in the sheet can be controlled by setting opportunely the trend of the sheet initial thickness. In this way, it is possible to see that, starting from a sheet with variable initial thickness, a lighter final product is obtained, whose final thickness distribution is more uniform than that of the product obtained from a classic stretching process that requires a sheet with constant initial thickness. Encouraging results from an experimental activity carried out on an AA6060 aluminum alloy sheet, whose trend of initial thicknesses was prepared by removing material from a commercial sheet with a constant thickness, allow us to note the good agreement with what was theoretically highlighted. Full article
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<p>Scheme of the axisymmetric stretching on a sheet with an initial variable thickness (1 is the punch, 2 is the blank and 3 is the die).</p>
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<p>Machine used for the forming tests: ➀ multimeter; ➁ power supply; ➂ interface for the test parameters management; ➃ control panel for the punch translation; ➄ die-drawbead component; ➅ punch; ➆ load cell; ➇ crosshead; ➈ rotating screw jack; ➉ electric motor.</p>
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<p>Distribution of the main strains and equivalent strain during the stretching process in perfect lubrification condition due to FEM: (<b>a</b>) meridian strain; (<b>b</b>) circumferential strain; (<b>c</b>) thickness strain; (<b>d</b>) equivalent strain.</p>
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<p>Distribution of the main strains and equivalent strain during the stretching process in friction conditions with a friction coefficient μ = 0.1 due to FEM: (<b>a</b>) meridian strain; (<b>b</b>) circumferential strain; (<b>c</b>) thickness strain; (<b>d</b>) equivalent strain.</p>
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<p>Distribution of the main strains and equivalent strain during the stretching process in friction conditions with a friction coefficient μ = 0.2 due to FEM: (<b>a</b>) meridian strain; (<b>b</b>) circumferential strain; (<b>c</b>) thickness strain; (<b>d</b>) equivalent strain.</p>
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<p>Comparison between the main strains and the equivalent strain during the stretching process on a constant (th = cost) and a variable (r = 80% e r = 90%) thickness sheet in perfect lubrification condition due to FEM: (<b>a</b>) meridian strain; (<b>b</b>) circumferential strain; (<b>c</b>) thickness strain; (<b>d</b>) equivalent strain.</p>
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<p>Comparison between the main strains and the equivalent strain during the stretching process on a constant (th = cost) and a variable (r = 80% e r = 90%) thickness sheet in friction conditions with a friction coefficient μ = 0.1 due to FEM: (<b>a</b>) meridian strain; (<b>b</b>) circumferential strain; (<b>c</b>) thickness strain; (<b>d</b>) equivalent strain.</p>
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<p>Comparison between the main strains and the equivalent strain during the stretching process on a constant (th = cost) and a variable (r = 80% e r = 90%) thickness sheet in friction conditions with a friction coefficient μ = 0.2 due to FEM: (<b>a</b>) meridian strain; (<b>b</b>) circumferential strain; (<b>c</b>) thickness strain; (<b>d</b>) equivalent strain.</p>
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<p>Comparison between experimental results in terms of thickness strain due to a stretching process on a sheet with an initial constant thickness and an initial variable thickness.</p>
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15 pages, 4988 KiB  
Article
Effect of Urea Addition on Anatase Phase Enrichment and Nitrogen Doping of TiO2 for Photocatalytic Abatement of Methylene Blue
by Maira Asif, Muhammad Zafar, Parveen Akhter, Murid Hussain, Adeel Umer, Abdul Razzaq and Woo-Young Kim
Appl. Sci. 2021, 11(17), 8264; https://doi.org/10.3390/app11178264 - 6 Sep 2021
Cited by 12 | Viewed by 3887
Abstract
TiO2-based materials are commonly employed as photocatalysts for industrial wastewater treatment. The primary reasons of employing TiO2 include cost effectiveness, ready availability, eco-friendliness, non-toxic behavior, and exceptional resistance towards photo-corrosion. However, the wider band gap of pure TiO2 restricts [...] Read more.
TiO2-based materials are commonly employed as photocatalysts for industrial wastewater treatment. The primary reasons of employing TiO2 include cost effectiveness, ready availability, eco-friendliness, non-toxic behavior, and exceptional resistance towards photo-corrosion. However, the wider band gap of pure TiO2 restricts its performance because of its optical absorption of solar light to the ultraviolet (UV) region only, and to some extent of photo-excited charge recombination. In the present work an attempt is made to develop a facile synthesis approach by using urea, a cheap chemical precursor, to form nitrogen doped TiO2 with the key objective of extended light absorption and thus enhanced photocatalytic performance. It was also observed that the urea-induced anatase phase enrichment of TiO2 is another key factor in promoting the photocatalytic performance. The photocatalysts prepared by varying the amount of urea as a nitrogen dopant precursor, are characterized using X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier transform infrared (FTIR) spectroscopy, and photoluminescence (PL) to evaluate their crystallinity, morphology, functional groups, and charge separation properties, respectively. Moreover, the surface area was also estimated by physicochemical adsorption. The maximum nitrogen-doped sample yielded >99% photodegradation efficiency of methylene blue (MB) dye-simulated wastewater as compared to a pure TiO2 sample which exhibited 6.46% efficiency. The results show that the simultaneous factors of nitrogen doping and anatase phase enhancement contributes significantly towards the improvement of photocatalytic performance. Full article
(This article belongs to the Special Issue Anatase Chemistry, Nanostructures and Functionalities‎)
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<p>XRD patterns of pure TiO<sub>2</sub>, NT-1, NT-2 and NT-3, synthesized by using 0.0 g, 0.983 g, 1.965 g and 2.940 g of urea respectively (A: anatase phase, and R: rutile phase).</p>
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<p>Raman spectra of pure TiO<sub>2</sub>, NT-1, NT-2 and NT-3, synthesized by using 0.0 g, 0.983 g, 1.965 g and 2.940 g of urea respectively.</p>
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<p>SEM images of (<b>a</b>) Pure TiO<sub>2</sub>, (<b>b</b>) NT-1, (<b>c</b>) NT-2 and, (<b>d</b>) NT-3.</p>
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<p>FTIR spectra of pure TiO<sub>2</sub>, NT-1, NT-2 and NT-3, synthesized by using 0.0 g, 0.983 g, 1.965 g and 2.940 g of urea respectively. (<b>a</b>) The complete spectrum; The enlarged view of regions between 750–2000 cm<sup>−1</sup> (<b>b</b>), and 2000–4000 cm<sup>−1</sup> (<b>c</b>).</p>
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<p>TGA curves for pure TiO<sub>2</sub>, NT-1, NT-2 and NT-3, synthesized by using 0.0, 0.983, 1.965 and 2.940 g of urea, respectively.</p>
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<p>(<b>a</b>) UV Vis DRS spectra, and (<b>b</b>) Band gap estimation of, Pure TiO<sub>2</sub>, NT-1, NT-2 and NT-3.</p>
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<p>PL spectra of (<b>a</b>) Pure TiO<sub>2</sub>, (<b>b</b>) NT-1, (<b>c</b>) NT-2 and (<b>d</b>) NT-3.</p>
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<p>High resolution XPS spectra with peak fittings for pure TiO<sub>2</sub> sample showing: (<b>a</b>) Ti 2p, (<b>b</b>) O 1s, (<b>c</b>) N 1s, and (<b>d</b>) C 1s, regions.</p>
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<p>High resolution XPS spectra with peak fittings for pure NT-3 sample showing: (<b>a</b>) Ti 2p, (<b>b</b>) O 1s, (<b>c</b>) N 1s, and (<b>d</b>) C 1s, regions.</p>
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<p>Photocatalytic degradation of MB dye simulated wastewater by pure TiO<sub>2</sub>, NT-1, NT-2 and NT-3 samples.</p>
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<p>Mechanistic overview for photocatalytic degradation of MB dye simulated wastewater by NT samples.</p>
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8 pages, 1284 KiB  
Article
The Performance of LiF:Mg-Ti for Proton Dosimetry within the Framework of the MoVe IT Project
by Vittoria D’Avino, Francesco Tommasino, Stefano Lorentini, Giuseppe La Verde and Mariagabriella Pugliese
Appl. Sci. 2021, 11(17), 8263; https://doi.org/10.3390/app11178263 - 6 Sep 2021
Cited by 3 | Viewed by 2807
Abstract
Proton therapy represents a technologically advanced method for delivery of radiation treatments to tumors. The determination of the biological effectiveness is one of the objectives of the MoVe IT (Modeling and Verification for Ion Beam Treatment Planning) project of the National Institute for [...] Read more.
Proton therapy represents a technologically advanced method for delivery of radiation treatments to tumors. The determination of the biological effectiveness is one of the objectives of the MoVe IT (Modeling and Verification for Ion Beam Treatment Planning) project of the National Institute for Nuclear Physics (INFN) CSN5. The aim of the present work, which is part of the project, was to evaluate the performance of the thermoluminescent dosimeters (TLDs-100) for dose verification in the proton beam line. Four irradiation experiments were performed in the experimental room at the Trento Proton Therapy Center, where a 150 MeV monoenergetic proton beam is available. A total of 80 TLDs were used. The TLDs were arranged in one or two rows and accommodated in a specially designed water-equivalent phantom. In the experimental setup, the beam enters orthogonally to the dosimeters and is distributed along the proton beam profile, while the irradiation delivers doses of 0.8 Gy or 1.5 Gy in the Bragg peak. For each irradiation stage, the depth–dose curve was determined by the TLD readings. The results showed the good performance of the TLDs-100, proving their reliability for dose recordings in future radiobiological experiments planned within the MoVe IT context. Full article
(This article belongs to the Special Issue Radiation Protection in Clinical and Environmental Setting)
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<p>(<b>a</b>) Design of the bio-phantom implemented by the BioTech (UniTN) partner, containing both thermoluminescent dosimeters (TLDs-100) and cells. (<b>b</b>) Bio-phantom with an array of TLDs and cells included in the gelatine. (<b>c</b>) Bio-phantom ready for irradiation with the beam entering orthogonally.</p>
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<p>Depth–dose profiles of the proton beam in a bio-phantom provided by the thermoluminescent dosimeters (TLDs-100): (<b>a</b>) first irradiation stage: two TLDs’ rows irradiated simultaneously; (<b>b</b>) second irradiation stage: two TLDs’ rows irradiated one at time, the second one with a planned energy shift; (<b>c</b>,<b>d</b>) third and fourth irradiation stages: one TLD’s row irradiated at different Bragg peak dose.</p>
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<p>Comparison between proton beam depth–dose profiles reconstructed with the thermoluminescent dosimeters (TLDs-100) from row 1 in the 1st and 2nd irradiation stages.</p>
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26 pages, 5621 KiB  
Article
Monitoring of Heavy Metals and Nitrogen Concentrations in Mosses in the Vicinity of an Integrated Iron and Steel Plant: Case Study in Czechia
by Irena Pavlíková, Oldřich Motyka, Vítězslav Plášek and Jan Bitta
Appl. Sci. 2021, 11(17), 8262; https://doi.org/10.3390/app11178262 - 6 Sep 2021
Cited by 5 | Viewed by 3574
Abstract
A biomonitoring study using terrestrial mosses was performed in the vicinity of an Integrated Iron and Steel plant near the Czech–Polish border. Moss samples were collected in two seasons (June, October) in order to embrace the effect of the heating season on the [...] Read more.
A biomonitoring study using terrestrial mosses was performed in the vicinity of an Integrated Iron and Steel plant near the Czech–Polish border. Moss samples were collected in two seasons (June, October) in order to embrace the effect of the heating season on the pollution levels. The contents of metals (Al, V, Cr, Mn, Fe, Ni, Cu, Zn, Cd, Pb, As, Sb and Hg) were determined using the Inductively Coupled Plasma-Atomic Emission Spectroscopy (ICP-AES), Atomic Absorption Spectroscopy (AAS) and contents of N, C, H via elemental analysis. The influence of the proximity of the factory, the heating season and modelled concentrations of particulate matter <10 µm (PM10) on determined concentrations of elements were studied via multivariate statistical methods using clr-transformed data. This approach led to the first-time demonstration that not only the distance from the industrial source but also the sampling season and PM10 concentrations significantly affect the elemental content in mosses; the association of the emissions from the source and the determined concentrations of elements in moss samples were more evident outside the heating season (October). The analyses of transformed data revealed the association of Fe, Cr, V, As and Al with the coarse particles and their dominant spatial distribution depending on the prevailing wind directions. The spatial distribution of Mn, Zn and Cd, which are carried by fine particles, appears to depend more on atmospheric dispersion and long-range transport, and, thus, these metals should be considered weak markers of the pollution load in the close surroundings of an industrial source. Full article
(This article belongs to the Special Issue Monitoring and Analysis of Environmental Pollution)
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<p>Situation map of the area of interest (AQM—air quality monitoring).</p>
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<p>Emissions and production of the Třinec Iron and Steel Works.</p>
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<p>PM<sub>10</sub> pollution rose (<b>a</b>); PM<sub>2.5</sub> pollution rose (<b>b</b>) at AQM Třinec-Kanada in 2017 (data CHMI [<a href="#B52-applsci-11-08262" class="html-bibr">52</a>,<a href="#B53-applsci-11-08262" class="html-bibr">53</a>]).</p>
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<p>The sampling network and the wind rose.</p>
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<p>Correlation plot June (<b>a</b>) and October (<b>b</b>). Size of the point indicates the strength of the correlation, blue—positive, red—negative correlation; crossed points indicate non-significant correlations.</p>
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<p>Gradients of concentrations of the assessed elements in terrestrial mosses collected in the surroundings of the Třinec Iron and Steel Works.</p>
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<p>PCA results, first factor plane. Season, prevailing wind relative to the factory and distance from the factory are plotted as supplementary variables.</p>
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<p>PCA results, first factor plane. Correlation circle of the (clr-transformed) concentrations of elements (in black) and untransformed data (in blue).</p>
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<p>Untransformed concentrations of selected elements plotted over the PCA results.</p>
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<p>Clusters resulting from HCPC: (<b>a</b>) June sampling, (<b>b</b>) October sampling.</p>
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<p>Correlation plot of June sampling (<b>a</b>) and October sampling (<b>b</b>). Size of the point indicates the strength of the correlation, blue—positive, red—negative correlation; crossed points indicate the non-significant correlations.</p>
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<p>Gradients of concentrations of the assessed elements in terrestrial mosses collected in the surroundings of the Třinec Iron and Steel Works.</p>
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<p>Gradients of concentrations of the assessed elements in terrestrial mosses collected in the surroundings of the Třinec Iron and Steel Works.</p>
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<p>Gradients of concentrations of the assessed elements in terrestrial mosses collected in the surroundings of the Třinec Iron and Steel Works.</p>
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<p>Gradients of concentrations of the assessed elements in terrestrial mosses collected in the surroundings of the Třinec Iron and Steel Works.</p>
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17 pages, 3473 KiB  
Article
Using Statistical Modeling for Assessing Lettuce Crops Contaminated with Zn, Correlating Plants Growth Characteristics with the Soil Contamination Levels
by Petru Cardei, Florin Nenciu, Nicoleta Ungureanu, Mirabela Augustina Pruteanu, Valentin Vlăduț, Dan Cujbescu, Iuliana Găgeanu and Oana Diana Cristea
Appl. Sci. 2021, 11(17), 8261; https://doi.org/10.3390/app11178261 - 6 Sep 2021
Cited by 10 | Viewed by 2455
Abstract
The aim of the study was to identify new mathematical models and strategies that can characterize the behavior of pollutants accumulating in the soil over time, considering the special characteristics of these chemicals that cannot be degraded or destroyed easily. The paper proposes [...] Read more.
The aim of the study was to identify new mathematical models and strategies that can characterize the behavior of pollutants accumulating in the soil over time, considering the special characteristics of these chemicals that cannot be degraded or destroyed easily. The paper proposes a statistical model for assessing the accumulation of Zn in the lettuce (Lactuca sativa L.), based on three indicators that characterize the development of lettuce plants over time. The experimental data can be used to obtain interpolated variations of the mass increase functions and to determine several functions that express the time dependence of heavy metal accumulation in the plant. The resulting interpolation functions have multiple applications, being useful in generating predictions for plant growth parameters when they are grown in contaminated environments, determining whether pollutant concentrations may be hazardous for human health, and may be used to verify and validate dynamic mathematical contamination models. Full article
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<p>Box plot representations of the distribution of pH (<b>a</b>), soil moisture (<b>b</b>), and plant water content (<b>c</b>), during the experiment, for the three cases of soil contaminated with a solution of 1.5%, 3.0%, and 4.5% zinc concentration.</p>
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<p>Plants with different contamination concentrations, harvested at different time periods after cultivation.</p>
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<p>Box plot diagrams for mass (<b>a</b>), height (<b>b</b>), and diameter (<b>c</b>) distributions for the three cases of soil contamination with a solution of 1.5%, 3.0%, and 4.5% zinc concentration.</p>
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<p>Variation of eight parameters of the plant after contaminating the soil, using the normalized standard deviation, in consideration of Zn accumulation (where humid.pl.: plant water content; soil moist.: soil moisture; soil h.m.c.: soil heavy metal concentration; plant h.m.c.: plant heavy metal concentration).</p>
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<p>Time dependence of the mass of lettuces grown in soil contaminated with 4.5% zinc concentration, for 1 to 4degree polynomial interpolations.</p>
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<p>Graphical representation of Zn concentration, mass, and plant height over time, obtained by polynomial interpolation (1–4 degree ordered top to bottom of graph) and experimental data.</p>
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<p>Variation of lettuce mass with time and the concentration of Zn in the soil, as a three-dimensional surface, corresponding to linear interpolation.</p>
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<p>Variation of lettuce mass with time and the concentration of Zn in the soil, as a three-dimensional surface, corresponding to a second-degree polynomial interpolation.</p>
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<p>Variation of lettuce mass with time and the concentration of Zn in the soil, as a three-dimensional surface, corresponding to a third-degree polynomial interpolation.</p>
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8 pages, 3602 KiB  
Communication
Definition of a Protocol to Manage and Officially Confirm SHB Presence in Sentinel Honeybee Colonies
by Giovanni Formato, Giovanni Federico, Camilla Di Ruggiero, Marco Pietropaoli, Marcella Milito and Franco Mutinelli
Appl. Sci. 2021, 11(17), 8260; https://doi.org/10.3390/app11178260 - 6 Sep 2021
Cited by 3 | Viewed by 2225
Abstract
Given the consolidated circulation of Aethina tumida (SHB) in Reggio Calabria and Vibo Valentia provinces of Calabria region (Southern Italy), the need for a more effective and less time-consuming approach to SHB surveillance emerged. Accordingly, honeybee sentinel colonies were established in the infested [...] Read more.
Given the consolidated circulation of Aethina tumida (SHB) in Reggio Calabria and Vibo Valentia provinces of Calabria region (Southern Italy), the need for a more effective and less time-consuming approach to SHB surveillance emerged. Accordingly, honeybee sentinel colonies were established in the infested areas under the supervision and management of the Veterinary Services of the Local Health Unit. In this short communication, we present the protocol adopted in the Calabria region to manage the SHB positive sentinel honeybee colonies. The procedures for safely packing and transport the SHB infested sentinel honeybee colonies from the field to the official laboratory and the subsequent procedure for their careful inspection in the laboratory are illustrated. Full article
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<p>Map showing the location of sentinel honeybee colonies and colonies positive and negative to small hive beetle in Calabria and Sicily regions.</p>
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<p>A pair of sentinel honey bee colonies sealed following SHB detection.</p>
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<p>Polyethylene film for packaging.</p>
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<p>Seal the packaged sentinel beehive with adhesive tape.</p>
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<p>Sentinel colony inside heavy plastic bags.</p>
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<p>Seek the beetle on the adhesive tape used to seal the package.</p>
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<p>Removal of the honeybees from the cells with a tweezer.</p>
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<p>Collected honeybees are screened for beetles with the help of a magnifying glass.</p>
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12 pages, 2424 KiB  
Article
Fast Stepwise Inertial Control Scheme of a DFIG for Reducing Second Frequency Drop
by Yien Xu, Dejian Yang, Jiejie Huang, Xinsong Zhang and Liang Hua
Appl. Sci. 2021, 11(17), 8259; https://doi.org/10.3390/app11178259 - 6 Sep 2021
Cited by 4 | Viewed by 2232
Abstract
With the fast growth in the penetration of wind power, doubly fed induction generators (DFIGs) are recommended for their ability to enforce grid codes that provide inertial control services by releasing rotational energy. However, after supporting the system frequency, a second frequency drop [...] Read more.
With the fast growth in the penetration of wind power, doubly fed induction generators (DFIGs) are recommended for their ability to enforce grid codes that provide inertial control services by releasing rotational energy. However, after supporting the system frequency, a second frequency drop (SFD) is prone to occurring to regain the rotor speed caused by the sudden reduction in output. In this article, we propose a torque limit-based fast stepwise inertial control scheme of a DFIG using a piecewise reference function for reducing the SFD while preserving the frequency nadir (FN) with less rotor energy released. To achieve the first objective, the power reference increases to the torque limit and then decays with the rotor speed toward the preset operating point. To achieve the second objective, the power reference smoothly lessens over time based on the exponential function. The performance of the proposed stepwise inertial control strategy was studied under various scenarios, including constant wind speed and ramp down wind speed conditions. The test results demonstrated that the frequency stability is preserved during the frequency support phase, while the second frequency drop and mechanical stress on the wind turbine reduce during the rotor speed restoration phase when the DFIG implements the proposed stepwise inertial control scheme. Full article
(This article belongs to the Section Energy Science and Technology)
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<p>Vector control of the rotor side converter.</p>
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<p>Operational features of the conventional scheme.</p>
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<p>Control concept of the proposed stepwise inertial control scheme.</p>
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<p>Operational features of the proposed stepwise inertial control scheme.</p>
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<p>Test system embedded with a DFIG.</p>
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<p>Results for Case 1: (<b>a</b>) frequency, (<b>b</b>) output power, (<b>c</b>) rotor speed, and (<b>d</b>) torque difference.</p>
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<p>Results for Case 2: (<b>a</b>) frequency, (<b>b</b>) output power, (<b>c</b>) rotor speed, and (<b>d</b>) torque difference.</p>
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<p>Results for Case 3: (<b>a</b>) wind speed, (<b>b</b>) frequency, (<b>c</b>) output power, and (<b>d</b>) rotor speed.</p>
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20 pages, 90783 KiB  
Article
Multiple-Input Convolutional Neural Network Model for Large-Scale Seismic Damage Assessment of Reinforced Concrete Frame Buildings
by Chen Xiong, Jie Zheng, Liangjin Xu, Chengyu Cen, Ruihao Zheng and Yi Li
Appl. Sci. 2021, 11(17), 8258; https://doi.org/10.3390/app11178258 - 6 Sep 2021
Cited by 20 | Viewed by 3176
Abstract
This study introduces a multiple-input convolutional neural network (MI-CNN) model for the seismic damage assessment of regional buildings. First, ground motion sequences together with building attribute data are adopted as inputs of the proposed MI-CNN model. Second, the prediction accuracy of MI-CNN model [...] Read more.
This study introduces a multiple-input convolutional neural network (MI-CNN) model for the seismic damage assessment of regional buildings. First, ground motion sequences together with building attribute data are adopted as inputs of the proposed MI-CNN model. Second, the prediction accuracy of MI-CNN model is discussed comprehensively for different scenarios. The overall prediction accuracy is 79.7%, and the prediction accuracies for all scenarios are above 77%, indicating a good prediction performance of the proposed method. The computation efficiency of the proposed method is 340 times faster than that of the nonlinear multi-degree-of-freedom shear model using time history analysis. Third, a case study is conducted for reinforced concrete (RC) frame buildings in Shenzhen city, and two seismic scenarios (i.e., M6.5 and M7.5) are studied for the area. The simulation results of the area indicate a good agreement between the MI-CNN model and the benchmark model. The outcomes of this study are expected to provide a useful reference for timely emergency response and disaster relief after earthquakes. Full article
(This article belongs to the Special Issue Artificial Neural Networks Applied in Civil Engineering)
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<p>Correlation between the ground motion intensity measure, building attribute, and building top displacement: (<b>a</b>) relationship between ground motion intensity measure <span class="html-italic">Sa</span>(<span class="html-italic">T</span><sub>1</sub>) and building top displacement; (<b>b</b>) relationship between building attributes and building top displacement.</p>
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<p>Schematic diagram of the MI-CNN model.</p>
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<p>Building model: (<b>a</b>) MDOF shear model; (<b>b</b>) tri-linear backbone curve model; (<b>c</b>) design response spectrum of the Chinese code for the seismic design of buildings [<a href="#B22-applsci-11-08258" class="html-bibr">22</a>].</p>
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<p>Processing flow of ground motion sequences.</p>
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<p>Schematic diagram of ground motion truncation.</p>
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<p>Distribution of damage states in the training set.</p>
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<p>Training and validation accuracies of the four batches: (<b>a</b>) Batch 1; (<b>b</b>) Batch 2; (<b>c</b>) Batch 3; (<b>d</b>) Batch 4.</p>
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<p>Confusion matrix of the test set (prediction accuracy = 79.7%).</p>
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<p>Influence of PGA on prediction accuracy: (<b>a</b>) prediction accuracies for samples with different PGAs; (<b>b</b>) distribution and prediction accuracy for samples with PGA of 1–3 m/s<sup>2</sup>.</p>
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<p>Confusion matrices for buildings with different PGAs: (<b>a</b>) PGA of 1–3 m/s<sup>2</sup> (prediction accuracy = 83.1%); (<b>b</b>) PGA of 4–5 m/s<sup>2</sup> (prediction accuracy = 79.2%); (<b>c</b>) PGA of 6–7 m/s<sup>2</sup> (prediction accuracy = 78.4%); (<b>d</b>) PGA of 8–10 m/s<sup>2</sup> (prediction accuracy = 77.5%).</p>
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<p>Influence of <span class="html-italic">T</span><sub>1</sub> on prediction accuracy: (<b>a</b>) prediction accuracies for samples with different fundamental periods; (<b>b</b>) distribution and prediction accuracy for samples with <span class="html-italic">T</span><sub>1</sub> of 0.8–1.0 s.</p>
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<p>Confusion matrices for buildings with different fundamental periods: (<b>a</b>) fundamental period of 0.1–0.3 s (prediction accuracy = 79.4%); (<b>b</b>) fundamental period of 0.4–0.5 s (prediction accuracy = 78.2%); (<b>c</b>) fundamental period of 0.6–0.7 s (prediction accuracy = 80.1%); (<b>d</b>) fundamental period of 0.8–1.0 s (prediction accuracy = 80.7%).</p>
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<p>Confusion matrices for buildings with different fundamental periods: (<b>a</b>) fundamental period of 0.1–0.3 s (prediction accuracy = 79.4%); (<b>b</b>) fundamental period of 0.4–0.5 s (prediction accuracy = 78.2%); (<b>c</b>) fundamental period of 0.6–0.7 s (prediction accuracy = 80.1%); (<b>d</b>) fundamental period of 0.8–1.0 s (prediction accuracy = 80.7%).</p>
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<p>Confusion matrices for buildings with different fortification levels: (<b>a</b>) fortification level of 6 (prediction accuracy = 79.9%); (<b>b</b>) fortification level of 7 (prediction accuracy = 79.6%); (<b>c</b>) fortification level of 8 (prediction accuracy = 78.4%); (<b>d</b>) fortification level of 9 (prediction accuracy = 80.8%).</p>
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<p>Confusion matrices for buildings with different fortification levels: (<b>a</b>) fortification level of 6 (prediction accuracy = 79.9%); (<b>b</b>) fortification level of 7 (prediction accuracy = 79.6%); (<b>c</b>) fortification level of 8 (prediction accuracy = 78.4%); (<b>d</b>) fortification level of 9 (prediction accuracy = 80.8%).</p>
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<p>Confusion matrices of the method based on ground motion intensity measures: (<b>a</b>) LightGBM (prediction accuracy = 73.7%); (<b>b</b>) XGBoost (prediction accuracy = 67.4%).</p>
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<p>Distribution of studied buildings.</p>
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<p>Earthquake data: (<b>a</b>) ground motion attenuation functions (M6.5); (<b>b</b>) acceleration/velocity time history.</p>
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<p>Distribution of ground motion intensity measure <span class="html-italic">Sa</span>(0.3s) (m/s<sup>2</sup>): (<b>a</b>) M6.5; (<b>b</b>) M7.5.</p>
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<p>Distribution of damage states of the M6.5 earthquake scenario: (<b>a</b>) time history analysis results; (<b>b</b>) MI-CNN results.</p>
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<p>Distribution of damage states of the M7.5 earthquake scenario: (<b>a</b>) time history analysis results; (<b>b</b>) MI-CNN results.</p>
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<p>Prediction error of the MI-CNN model: (<b>a</b>) M6.5 earthquake scenario; (<b>b</b>) M7.5 earthquake scenario.</p>
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12 pages, 2937 KiB  
Article
Effects of a Dual-Purpose Inoculant on the Quality and Aerobic Stability of Corn Silage at the Laboratory and Field Scales
by Hsiu-Ming Weng, Li-Chen Kao, Shu-Min Wang, Chia-Sheng Chen, Ting-Yu Lee, Hsiao-Tung Chang, San-Land Young and Jin-Seng Lin
Appl. Sci. 2021, 11(17), 8257; https://doi.org/10.3390/app11178257 - 6 Sep 2021
Cited by 1 | Viewed by 2334
Abstract
This study investigated the effects of a dual-purpose inoculant (DPI) on the fermentation profile, nutritive value, and aerobic stability of silage. The inoculant effect was first examined with minisilos, and the results were later validated with 400-kg silo bales and a 40-t bunker [...] Read more.
This study investigated the effects of a dual-purpose inoculant (DPI) on the fermentation profile, nutritive value, and aerobic stability of silage. The inoculant effect was first examined with minisilos, and the results were later validated with 400-kg silo bales and a 40-t bunker silo. Briefly, whole-plant corn harvested at the one-half to two-thirds milk line stage was chopped and then treated with or without inoculant containing Lactobacillus plantarum LP1028 and Lactobacillus buchneri LBC1029 at application rates of 2.5 × 105 cfu and 5.0 × 105 cfu per gram of fresh forage, respectively. The results showed that applying DPI had no effect on the nutritive value in all trials. DPI inoculation also slowed yeast and mold growth in silage under aerobic exposure. Inoculation may double the aerobic stability time after 105 d of ensiling (53.25 vs. 113.20 h) in a bunker silo. This study successfully examined the effectiveness of DPI in minisilos, and the results were consistent when moving from the laboratory to the field. Applying DPI made the fermentation more heterolactic without compromising the silage nutritive value, and increasing acetic acid acted as an antifungal agent to inhibit spoilage microbial growth and improve silage aerobic stability. Full article
(This article belongs to the Section Applied Microbiology)
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<p>Changes in (<b>a</b>) yeast and mold counts (YMC) and (<b>b</b>) pH of 105-d ensiled laboratory-scale forages during aerobic exposure. Corn silage was treated without (<span class="html-fig-inline" id="applsci-11-08257-i001"> <img alt="Applsci 11 08257 i001" src="/applsci/applsci-11-08257/article_deploy/html/images/applsci-11-08257-i001.png"/></span>, <span class="html-italic">n</span> = 3) or with (<span class="html-fig-inline" id="applsci-11-08257-i002"> <img alt="Applsci 11 08257 i002" src="/applsci/applsci-11-08257/article_deploy/html/images/applsci-11-08257-i002.png"/></span>, <span class="html-italic">n</span> = 3) DPI. Values with asterisk (*) within the same aerobic exposure time differed significantly (<span class="html-italic">p</span> &lt; 0.05). Data were presented as mean ± SEM.</p>
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<p>Changes in yeast and mold counts (YMC) of 90-d ensiled baled forages during aerobic exposure. Corn silage was treated without (<span class="html-fig-inline" id="applsci-11-08257-i001"> <img alt="Applsci 11 08257 i001" src="/applsci/applsci-11-08257/article_deploy/html/images/applsci-11-08257-i001.png"/></span>, <span class="html-italic">n</span>=3) or with (<span class="html-fig-inline" id="applsci-11-08257-i002"> <img alt="Applsci 11 08257 i002" src="/applsci/applsci-11-08257/article_deploy/html/images/applsci-11-08257-i002.png"/></span>, <span class="html-italic">n</span>=3) DPI. Data were presented as mean ± SEM.</p>
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<p>Changes in (<b>a</b>) pH, and (<b>b</b>) lactic acid concentration of 105-d ensiled bunker forages during aerobic exposure. Corn silage was treated without (<span class="html-fig-inline" id="applsci-11-08257-i001"> <img alt="Applsci 11 08257 i001" src="/applsci/applsci-11-08257/article_deploy/html/images/applsci-11-08257-i001.png"/></span>, <span class="html-italic">n</span> = 3) or with (<span class="html-fig-inline" id="applsci-11-08257-i002"> <img alt="Applsci 11 08257 i002" src="/applsci/applsci-11-08257/article_deploy/html/images/applsci-11-08257-i002.png"/></span>, <span class="html-italic">n</span> = 3) DPI. Asterisk (*) indicated that the slopes of linear regression lines differed significantly (<span class="html-italic">p</span> &lt; 0.05). Data were presented as mean ± SEM. SEYX: standard error of regression coefficient.</p>
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<p>Changes in yeast and mold counts (YMC) of 105-d ensiled bunker forages during aerobic exposure. Corn silage was treated without (<span class="html-fig-inline" id="applsci-11-08257-i001"> <img alt="Applsci 11 08257 i001" src="/applsci/applsci-11-08257/article_deploy/html/images/applsci-11-08257-i001.png"/></span>, <span class="html-italic">n</span> = 3) or with (<span class="html-fig-inline" id="applsci-11-08257-i002"> <img alt="Applsci 11 08257 i002" src="/applsci/applsci-11-08257/article_deploy/html/images/applsci-11-08257-i002.png"/></span>, <span class="html-italic">n</span> = 3) DPI. Values with asterisk (*) within the same aerobic exposure time differed significantly (<span class="html-italic">p</span> &lt; 0.05). Data were presented as mean ± SEM.</p>
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<p>Thermogram of corn silage after 105-d storage. Corn silage was treated without (left-half) and with (right-half) DPI and the silo working face was exposed to air for 96 h. Color indicated different temperature from low (blue, 27.7 °C) to high temperature (red, 33.2 °C).</p>
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22 pages, 7633 KiB  
Article
Mechanical and Tribological Characterization of a Bioactive Composite Resin
by Elsa Reis Carneiro, Ana Sofia Coelho, Inês Amaro, Anabela Baptista Paula, Carlos Miguel Marto, José Saraiva, Manuel Marques Ferreira, Luís Vilhena, Amílcar Ramalho and Eunice Carrilho
Appl. Sci. 2021, 11(17), 8256; https://doi.org/10.3390/app11178256 - 6 Sep 2021
Cited by 7 | Viewed by 3461
Abstract
Despite developments and advances in dental materials which allow for greater restorative performance, there are still challenges and questions regarding the formulation of new compositions and chemical reactions of materials used in restorative dentistry. The aim of this study was to assess and [...] Read more.
Despite developments and advances in dental materials which allow for greater restorative performance, there are still challenges and questions regarding the formulation of new compositions and chemical reactions of materials used in restorative dentistry. The aim of this study was to assess and compare the mechanical and tribological characteristics of a bioactive resin, a composite resin, and a glass ionomer. Twenty specimens of each material were divided into two groups: one control group (n = 10), not subjected to thermocycling, and one test group (n = 10) submitted to thermocycling. The Vickers microhardness test was carried out and surface roughness was evaluated. The tribological sliding indentation test was chosen. The bioactive resin had the lowest hardness, followed by the composite resin, and the glass ionomer. The bioactive resin also showed greater resistance to fracture. For the tribological test, the wear rate was lower for the bioactive resin, followed by the composite resin, and the glass ionomer. The bioactive resin presented a smooth surface without visible cracks, while the other materials presented a brittle peeling of great portions of material. Thus, the bioactive resin performs better in relation to fracture toughness, wear rate and impact absorption than the composite resin and much better than the glass ionomer. Full article
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<p>Schematic picture of the four-point bending test.</p>
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<p>The four-point bending test configuration in the Shimadzu universal testing machine.</p>
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<p>Flowchart of the experimental protocol used to measure the dynamic Young’s modulus using the impulse excitation of vibration technique (the graphs show a real test for the Activa™ specimen after thermocycling).</p>
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<p>Schematic illustration of the wear track caused by the scratch test: (<b>a</b>) top view, showing the gradual area increase due to the load increase in the sliding direction; (<b>b</b>) cross-section view, showing the built-up areas (A1 + A2) and area of the scratch (A3).</p>
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<p>Hardness measurements, HV<sub>0.2</sub> for the three different materials (Activa™, Filtek Supreme™ XTE and Ketac™) before and after thermocycling (37 ± 2 °C).</p>
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<p>Flexural strength for the different specimens before (25 ± 2 °C and 37 ± 2 °C) and after thermocycling (37 ± 2 °C).</p>
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<p>Static elastic modulus for the different specimens before (25 ± 2 °C and 37 ± 2 °C) and after thermocycling (37 ± 2 °C).</p>
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<p>Work of fracture for the different specimens before (25 ± 2 °C and 37 ± 2 °C) and after thermocycling (37 ± 2 °C).</p>
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<p>Dynamic elastic modulus for the different materials before (25 ± 2 °C and 37 ± 2 °C) and after thermocycling (37 ± 2 °C).</p>
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<p>Optical micrographs showing different parts of the longitudinal wear track for the Filtek Supreme™ specimen after thermocycling: (<b>a</b>) middle of the scratch and (<b>b</b>) end of the scratch.</p>
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<p>Wear profiles for the different specimens, before and after thermocycling, showing the evolution of the wear depth with the transversal distance. These profiles were taken at 8 mm sliding distance and with an applied load of approximately 16 N: (<b>a</b>) Activa™; (<b>b</b>) Filtek Supreme™; (<b>c</b>) Ketac™.</p>
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<p>Output from the scratch test, showing the evolution of normal load (blue color) and tangential load (orange color) with sliding time (this test was performed for Activa™ before being subject to thermocycling).</p>
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<p>Evolution of the tangential load with normal load showing the slope of the curve (1.37) that matches the value for the COF. This test was performed for the Activa™ specimen before being subject to thermocycling.</p>
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<p>Optical micrograph showing the entire longitudinal wear track for Activa™, before thermocycling.</p>
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<p>SEM micrographs showing part of the wear track made by scratch tribotesting before thermocycling, for the following specimens: (<b>a</b>) Activa™; (<b>b</b>) Filtek Supreme™ XTE and (<b>c</b>) Ketac™.</p>
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<p>SEM micrographs showing part of the wear track made by scratch tribotesting before thermocycling, for the following specimens: (<b>a</b>) Activa™; (<b>b</b>) Filtek Supreme™ XTE and (<b>c</b>) Ketac™.</p>
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<p>SEM micrograph showing part of the wear track made by scratch tribotesting, for Ketac™ after thermocycling.</p>
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20 pages, 4360 KiB  
Article
Real-Time Cloth Simulation Using Compute Shader in Unity3D for AR/VR Contents
by Hongly Va, Min-Hyung Choi and Min Hong
Appl. Sci. 2021, 11(17), 8255; https://doi.org/10.3390/app11178255 - 6 Sep 2021
Cited by 11 | Viewed by 9483
Abstract
While the cloth component in Unity engine has been used to represent the 3D cloth object for augmented reality (AR) and virtual reality (VR), it has several limitations in term of resolution and performance. The purpose of our research is to develop a [...] Read more.
While the cloth component in Unity engine has been used to represent the 3D cloth object for augmented reality (AR) and virtual reality (VR), it has several limitations in term of resolution and performance. The purpose of our research is to develop a stable cloth simulation based on a parallel algorithm. The method of a mass–spring system is applied to real-time cloth simulation with three types of springs. However, cloth simulation using the mass–spring system requires a small integration time-step to use a large stiffness coefficient. Furthermore, constraint enforcement is applied to obtain the stable behavior of the cloth model. To reduce the computational burden of constraint enforcement, the adaptive constraint activation and deactivation (ACAD) technique that includes the mass–spring system and constraint enforcement method is applied to prevent excessive elongation of the cloth. The proposed algorithm utilizes the graphics processing unit (GPU) parallel processing, and implements it in Compute Shader that executes in different pipelines to the rendering pipeline. In this paper, we investigate the performance and compare the behavior of the mass–spring system, constraint enforcement, and ACAD techniques using a GPU-based parallel method. Full article
(This article belongs to the Special Issue AR, VR: From Latest Technologies to Novel Applications)
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<p>Mass–spring model for cloth simulation.</p>
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<p>The compute space dimension of the kernel in Unity.</p>
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<p>Scheme of accessing buffer through the index of the thread.</p>
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<p>Flowchart of cloth simulation using constraint enforcement method with compute shader in Unity.</p>
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<p>Flowchart of cloth simulation using the ACAD method with compute shader in Unity.</p>
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<p>Collision detection between node and spherical object.</p>
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<p>The performance comparison of cloth simulation using Unity’s cloth, CPU-based, and GPU-based mass–spring system.</p>
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<p>The performance result of cloth simulation using the GPU-based mass–spring system measured in fps.</p>
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<p>The performance result of cloth simulation using GPU-based constraint enforcement with and without bend spring and measured in fps.</p>
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<p>Performance comparison of the cloth simulation using the different methods.</p>
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<p>The behavior of the cloth using the mass–spring system method with different <span class="html-italic">ks</span>.</p>
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<p>Comparison of the behavior of the cloth model using the constraint enforcement method with and without bend spring, and using a 0.005 time-step.</p>
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<p>Comparison of the behavior of the cloth model using the ACAD method with different coefficient <span class="html-italic">ks</span>, and using a 0.005 time-step.</p>
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<p>Comparison of the behavior of the cloth model using the constraint enforcement method with and without bend spring, and using a 0.016 time-step.</p>
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<p>Comparison on the behavior of the cloth model using the mass–spring system method and the ACAD method with a 0.016 time-step, 200 <span class="html-italic">ks</span>.</p>
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25 pages, 6729 KiB  
Article
Fragility Curves and Probabilistic Seismic Demand Models on the Seismic Assessment of RC Frames Subjected to Structural Pounding
by Maria G. Flenga and Maria J. Favvata
Appl. Sci. 2021, 11(17), 8253; https://doi.org/10.3390/app11178253 - 6 Sep 2021
Cited by 24 | Viewed by 5290
Abstract
This study aims to evaluate five different methodologies reported in the literature for developing fragility curves to assess the seismic performance of RC structures subjected to structural pounding. In this context, displacement-based and curvature-based fragility curves are developed. The use of probabilistic seismic [...] Read more.
This study aims to evaluate five different methodologies reported in the literature for developing fragility curves to assess the seismic performance of RC structures subjected to structural pounding. In this context, displacement-based and curvature-based fragility curves are developed. The use of probabilistic seismic demand models (PSDMs) on the fragility assessment of the pounding risk is further estimated. Linear and bilinear PSDMs are developed, while the validity of the assumptions commonly used to produce a PSDM is examined. Finally, the influence of the PSDMs’ assumptions on the derivation of fragilities for the structural pounding effect is identified. The examined pounding cases involve the interaction between adjacent RC structures that have equal story heights (floor-to-floor interaction). Results indicate that the fragility assessment of the RC structure that suffers the pounding effect is not affected by the examined methodologies when the performance level that controls the seismic behavior is exceeded at low levels of IM. Thus, the more vulnerable the structure is due to the pounding effect, the more likely that disparities among the fragility curves of the examined methods are eliminated. The use of a linear PSDM fails to properly describe the local inelastic demands of the structural RC member that suffers the impact effect. The PSDM’s assumptions are not always satisfied for the examined engineering demand parameters of this study, and thus may induce errors when fragility curves are developed. Nevertheless, errors induced due to the power law model and the homoscedasticity assumptions of the PSDM can be reduced by using the bilinear regression model. Full article
(This article belongs to the Special Issue Seismic Assessment and Design of Structures)
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<p>(<b>a</b>) Set of IDA curves and stripes of EDP at discrete values of IM, (<b>b</b>) Fragility curve based on empirical cumulative distribution function (CDF).</p>
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<p>Set of IDAs curves and corresponding values of IM at the level of capacity <math display="inline"><semantics> <mrow> <mover accent="true"> <mi mathvariant="normal">C</mi> <mo stretchy="true">^</mo> </mover> </mrow> </semantics></math>.</p>
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<p>16%, 50%, 84% summarized IDAs curves and corresponding values of IM at the level of capacity <math display="inline"><semantics> <mrow> <mover accent="true"> <mi mathvariant="normal">C</mi> <mo stretchy="true">^</mo> </mover> </mrow> </semantics></math>.</p>
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<p>(<b>a</b>) Eight-story RC frame and (<b>b</b>) idealization of the contact area.</p>
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<p>MLE, MM, IM percentiles, PSDM methodologies for the fragility assessment of the eight-story RC frame in terms of maximum interstory drift (IDR<sub>max</sub> -%h<sub>st</sub>) as a function of the PGA. Examined cases: (<b>a</b>) without the pounding effect, (<b>b</b>) d<sub>g</sub> = 0.0 cm, (<b>c</b>) d<sub>g</sub> = 4.5 cm, and (<b>d</b>) d<sub>g</sub> = 9.0 cm.</p>
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<p>MLE, MM, IM percentiles, PSDM methodologies for the fragility assessment of the eight-story RC frame in terms of maximum top drift (TDR<sub>max</sub> -%H<sub>tot</sub>) as a function of the PGA. Examined cases: (<b>a</b>) without the pounding effect, (<b>b</b>) d<sub>g</sub> = 0.0 cm, (<b>c</b>) d<sub>g</sub> = 4.5 cm, and (<b>d</b>) d<sub>g</sub> = 9.0 cm.</p>
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<p>MLE, MM, IM percentiles, PSDM methodologies on the fragility assessment of the eight-story RC frame in terms of maximum curvature ductility μ<sub>φ,max</sub> as a function of the PGA. Examined cases: (<b>a</b>) without the pounding effect, (<b>b</b>) d<sub>g</sub> = 0.0 cm, (<b>c</b>) d<sub>g</sub> = 4.5 cm, and (<b>d</b>) d<sub>g</sub> = 9.0 cm.</p>
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<p>Lognormality assumption: Probability plot at PGA = 0.355 g in the case of (<b>a</b>) without the pounding effect, and (<b>b</b>) when d<sub>g</sub> = 0.0 cm. Examined engineering demand parameters: (<b>1</b>) IDR<sub>max</sub>, (<b>2</b>) TDR<sub>max</sub>, and (<b>3</b>) μ<sub>φ,max</sub>.</p>
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<p>Comparative results in terms of IDR<sub>max</sub> (%h<sub>st</sub>) at each level of PGA as deduced based on IDAs, PSDMs, and median values of demand. Examined cases: (<b>a</b>) without the pounding effect, (<b>b</b>) d<sub>g</sub> = 0.0 cm, (<b>c</b>) d<sub>g</sub> = 4.5 cm, and (<b>d</b>) d<sub>g</sub> = 9.0 cm.</p>
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<p>Comparative results in terms of TDR<sub>max</sub> (%H<sub>tot</sub>) at each level of PGA as deduced based on IDAs, PSDMs, and median values of demand. Examined cases: (<b>a</b>) without the pounding effect, (<b>b</b>) d<sub>g</sub> = 0.0 cm, (<b>c</b>) d<sub>g</sub> = 4.5 cm, and (<b>d</b>) d<sub>g</sub> = 9.0 cm.</p>
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<p>Comparative results in terms of μ<sub>φ,max</sub> (column C20) at each level of PGA as deduced based on IDAs, PSDMs, and median values of demand. Regression models: (<b>a</b>) linear, and (<b>b</b>) bilinear. Examined cases: (<b>1</b>) without the pounding effect, (<b>2</b>) d<sub>g</sub> = 0.0 cm, (<b>3</b>) d<sub>g</sub> = 4.5 cm, and (<b>4</b>) d<sub>g</sub> = 9.0 cm.</p>
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<p>Comparative results in terms of μ<sub>φ,max</sub> (column C20) at each level of PGA as deduced based on IDAs, PSDMs, and median values of demand. Regression models: (<b>a</b>) linear, and (<b>b</b>) bilinear. Examined cases: (<b>1</b>) without the pounding effect, (<b>2</b>) d<sub>g</sub> = 0.0 cm, (<b>3</b>) d<sub>g</sub> = 4.5 cm, and (<b>4</b>) d<sub>g</sub> = 9.0 cm.</p>
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<p>Influence of the PSDM assumptions on the fragility assessment of the eight-story RC frame in terms of IDR<sub>max</sub> (%h<sub>st</sub>) as a function of the PGA. Examined assumptions: Case 1—lognormality, Case 2—lognormality and power law model, and Case 3—SDM’s assumptions. Fragility curves (<b>a</b>) without the pounding effect, (<b>b</b>) d<sub>g</sub> = 0.0 cm, (<b>c</b>) d<sub>g</sub> = 4.5 cm, and (<b>d</b>) d<sub>g</sub> = 9.0 cm.</p>
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<p>Influence of the PSDM assumptions on the fragility assessment of the eight-story RC frame in terms of TDR<sub>max</sub> (%H<sub>tot</sub>) as a function of the PGA. Examined assumptions: Case 1—lognormality, Case 2—lognormality and power law model, Case 3—PSDM’s assumptions. Fragility curves (<b>a</b>) without the pounding effect, (<b>b</b>) d<sub>g</sub> = 0.0 cm, (<b>c</b>) d<sub>g</sub> = 4.5 cm, and (<b>d</b>) d<sub>g</sub> = 9.0 cm.</p>
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<p>Influence of the PSDM assumptions on the fragility assessment of the eight-story RC frame in terms of TDR<sub>max</sub> (%H<sub>tot</sub>) as a function of the PGA. Examined assumptions: Case 1—lognormality, Case 2—lognormality and power law model, Case 3—PSDM’s assumptions. Fragility curves (<b>a</b>) without the pounding effect, (<b>b</b>) d<sub>g</sub> = 0.0 cm, (<b>c</b>) d<sub>g</sub> = 4.5 cm, and (<b>d</b>) d<sub>g</sub> = 9.0 cm.</p>
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<p>Influence of the PSDM assumptions on the fragility assessment of the eight-story RC frame in terms of μ<sub>φ,max</sub> (C20) as a function of the PGA. Examined assumptions: Case 1—lognormality, Case 2—lognormality and power law model, Case 3—PSDM’s assumptions. Fragility curves (<b>a</b>) without the pounding effect, (<b>b</b>) d<sub>g</sub> = 0.0 cm, (<b>c</b>) d<sub>g</sub> = 4.5 cm, and (<b>d</b>) d<sub>g</sub> = 9.0 cm.</p>
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16 pages, 6813 KiB  
Article
Insight into the Role of Cerium (III) Addition to a MgAl-LDH Coating on AA6082
by Michele Fedel and Michele Zampiccoli
Appl. Sci. 2021, 11(17), 8252; https://doi.org/10.3390/app11178252 - 6 Sep 2021
Cited by 8 | Viewed by 3131
Abstract
In this work, Ce doped MgAl-LDHs layers have been developed through an in-situ synthesis method on 6082 aluminum surface. The aim was to gain mechanistic insight into the role of Ce(III) as an active corrosion inhibitor embedded in the LDHs layer. The development [...] Read more.
In this work, Ce doped MgAl-LDHs layers have been developed through an in-situ synthesis method on 6082 aluminum surface. The aim was to gain mechanistic insight into the role of Ce(III) as an active corrosion inhibitor embedded in the LDHs layer. The development of the LDH structure was verified by checking the presence of the characteristic XRD peaks, the platelet morphology (evaluated by SEM-EDXS) and the functional groups (by FTIR-ATR analyses). The same techniques were employed to assess the effect of a prolonged immersion time in 0.1 NaCl on the Ce doped MgAl-LDH coatings. Electrochemical impedance spectroscopy (EIS) was employed to monitor the evolution of the electrochemical properties of the coatings during prolonged immersion in saline solutions. The findings suggest a crystallization/dissolution/precipitation mechanism which implies: (i) the formation of crystalline cerium compounds, such as Ce(OH)3, in the LDH structure during the synthesis; (ii) the dissolution upon exposure to the NaCl solution, thus leading to cerium ions release; (iii) the precipitation of amorphous Ce oxides/hydroxides at the cathodic sites when the metal starts to corrode; (iv), the consequent mitigation of the electrochemical activity of the metal and, thus, the reduction of the extent of corrosion. Full article
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<p>Schematic illustration of a MgAl-LDH.</p>
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<p>Equilibrium curves for Ce<sup>3+</sup>/Ce(OH)<sub>3</sub> as a function of the solution pH. The image is reproduced from [<a href="#B55-applsci-11-08252" class="html-bibr">55</a>].</p>
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<p>IR spectra from 500 cm<sup>−</sup><sup>1</sup> to 4000 cm<sup>−</sup><sup>1</sup> for C10 series obtained in ATR mode.</p>
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<p>Deconvolution analysis of the ATR-FTIR spectra from (<b>a</b>) 3750 to 2750 cm<sup>−</sup><sup>1</sup> and (<b>b</b>) 1100 to 500 cm<sup>−</sup><sup>1</sup> of fresh sample C10-4.5. The Violet curve represents the sum of all deconvoluted signals. In black, the experimental curve.</p>
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<p>XRD pattern from 10° to 110° of C10 series C10 in their fresh state (solid lines) and after 400 h 0.1 M of NaCl immersion (dashed lines).</p>
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<p>SEM images of the top-view of the as synthesized samples: (<b>a</b>) C10-1, (<b>b</b>) C10-4.5, and (<b>c</b>) C10-9.</p>
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<p>Ce-rich agglomerate on LDH surface (<b>a</b>) and the corresponding EDS analysis (<b>b</b>).</p>
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<p>SEM images of the top-view of the investigated samples after 400 h of immersion in 0.1 M NaCl: (<b>a</b>) C10-1, (<b>b</b>) C10-4.5, and (<b>c</b>) C10-9.</p>
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<p>Three types of agglomerates found on C10-4.5 surface after 400 h of immersion in 0.1 M NaCl (<b>a</b>–<b>c</b>). At the bottom, the respective EDS analysis.</p>
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<p>Impedance and phase angle plots of (<b>a</b>) C10-1, (<b>b</b>) C10-4.5, (<b>c</b>) C10-9 after 2, 8, 24, 72, 168, and 216 h of immersion.</p>
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<p>ECC used for curve fitting.</p>
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<p>Evolution of the total resistance over 216 h of immersion.</p>
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<p>Ce-rich agglomerate on C10-1 surface after 226 h of immersion (<b>a</b>) and EDS analysis in correspondence of the red spot (<b>b</b>).</p>
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11 pages, 1394 KiB  
Article
Influence of Pre-Etched Area and Functional Monomers on the Enamel Bond Strength of Orthodontic Adhesive Pastes
by Yuriko Tezuka, Yasuhiro Namura, Akihisa Utsu, Kiyotaka Wake, Yasuki Uchida, Mizuki Inaba, Toshiki Takamizawa and Mitsuru Motoyoshi
Appl. Sci. 2021, 11(17), 8251; https://doi.org/10.3390/app11178251 - 6 Sep 2021
Viewed by 2201
Abstract
This study was performed to investigate the influence of pre-etching area and functional monomers in orthodontic adhesive pastes on enamel bond strength. Bovine enamel was partially pre-etched with phosphoric acid for 30 s over areas with a diameter of 1.0, 2.0 or 3.0 [...] Read more.
This study was performed to investigate the influence of pre-etching area and functional monomers in orthodontic adhesive pastes on enamel bond strength. Bovine enamel was partially pre-etched with phosphoric acid for 30 s over areas with a diameter of 1.0, 2.0 or 3.0 mm, and metal brackets were then bonded with or without functional monomers in the orthodontic adhesive paste. For the baseline groups, the whole adherent area was pre-etched. The shear bond strength (SBS) and adhesive remnant index (ARI) were determined. The adhesive paste/enamel interfaces were observed by scanning electron microscopy (SEM). Although the adhesive paste with functional monomers showed higher SBS than the functional monomer-free adhesive paste in all groups, there were no significant differences in SBS between them regardless of the pre-etched area. The SBS increased with increasing pre-etched area in both orthodontic adhesive pastes. In SEM images of adhesive paste/enamel interfaces, although adhesive with functional monomers showed excellent adaptation, the functional monomer-free adhesive paste showed gap formation at the interface. These findings suggested that the pre-etching area greatly influenced bond strength, regardless of the presence or absence of the functional monomer in the orthodontic adhesive paste. Full article
(This article belongs to the Special Issue Current Techniques and Materials in Dentistry)
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<p>Bonding procedures.</p>
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<p>Representative SEM images of the orthodontic adhesive paste/enamel interface in TB. In the pre-etched area, excellent adaptation was observed (arrow), but gap formation was observed at both edges of the bracket base ((<b>a</b>): magnification 30×). In the pre-etched region ((<b>b</b>): magnification 1000×, (<b>c</b>): magnification 10,000×), compression of the enamel surface was observed (arrowheads). In the non-etched region, detachment between adhesive paste and enamel was observed ((<b>d</b>): magnification 1000×, (<b>e</b>): magnification 10,000×).</p>
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<p>Representative SEM images of the orthodontic adhesive paste/enamel interface in UB. The whole interface (arrow range) region showed excellent adaptation ((<b>a</b>): magnification 30×). In the pre-etched region ((<b>b</b>): magnification 1000 ×, (<b>c</b>): magnification 10,000×), a typical etching pattern and resin enamel tags were clearly observed (arrowheads). The non-etched region ((<b>d</b>): magnification 1000×, (<b>e</b>): magnification 10,000×) showed neither the typical etching pattern nor resin enamel tags.</p>
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17 pages, 5158 KiB  
Article
Model-Based Analysis and Improvement of Vehicle Radiation Emissions at Low Frequency
by Feng Gao, Qing Wang and Yu Xiong
Appl. Sci. 2021, 11(17), 8250; https://doi.org/10.3390/app11178250 - 6 Sep 2021
Cited by 2 | Viewed by 2292
Abstract
With the development of electrification and intelligence, the electromagnetic environment of intelligent and electric vehicles becomes complicated and critical because of the high voltage/current of power components, the computation units with high frequency and the dense radio systems. These pose great challenges for [...] Read more.
With the development of electrification and intelligence, the electromagnetic environment of intelligent and electric vehicles becomes complicated and critical because of the high voltage/current of power components, the computation units with high frequency and the dense radio systems. These pose great challenges for the design of vehicle radiation emissions. To improve the development efficiency, a model-based analysis and improvement strategy is proposed. Firstly, a topological approach is presented to decouple and model the vehicle-level radiation problem. By this topological model, each technical factor is analyzed from both of its contribution and sensitivity to the radiation emission, which are further integrated together using the entropy weight method to generate the technical evaluation score. Then, other untechnical factors, i.e., the cost and application difficulty, are further combined with the technical evaluation results by the analytic hierarchy process to determine the final solution. This strategy has been applied to solve a radiation problem of an electric vehicle at low frequency to validate its effectiveness and show some application details. Full article
(This article belongs to the Special Issue Advanced Technologies in Electromagnetic Compatibility)
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<p>Model based analysis and improvement process.</p>
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<p>Decoupling process of vehicle radiation problem: (<b>a</b>) Original system; (<b>b</b>) Equivalent system; (<b>c</b>) Topological connection.</p>
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<p>Global multi-port network.</p>
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<p>Hierarchical evaluation of improvement solution.</p>
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<p>Radiated emission test: (<b>a</b>) Test site; (<b>b</b>) Electric field.</p>
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<p>Modelling process: (<b>a</b>) Schematic diagram of power system; (<b>b</b>) Schematic diagram of PDU; (<b>c</b>) Topological multi-port network diagram.</p>
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<p>Modelling process: (<b>a</b>) Schematic diagram of power system; (<b>b</b>) Schematic diagram of PDU; (<b>c</b>) Topological multi-port network diagram.</p>
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<p>Parameters of equivalent circuit nodes: (<b>a</b>) Equivalent internal impedance; (<b>b</b>) Interference current; (<b>c</b>) Equivalent interference voltage.</p>
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<p>Simulation model in FEKO: (<b>a</b>) EV model; (<b>b</b>) PDU model.</p>
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<p>Parameters of networks: (<b>a</b>) S-parameter; (<b>b</b>) Z-parameter.</p>
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<p>Comparing result of electric field at left side.</p>
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<p>Technical analysis results: (<b>a</b>) Improvement potential; (<b>b</b>) Contribution.</p>
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<p>Problem analysis results: (<b>a</b>) Importance analysis results; (<b>b</b>) Hierarchical analysis for final solution.</p>
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<p>Problem analysis results: (<b>a</b>) Importance analysis results; (<b>b</b>) Hierarchical analysis for final solution.</p>
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<p>Improvement results of electric field at left side: (<b>a</b>) Simulation; (<b>b</b>) Experimental test.</p>
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16 pages, 2088 KiB  
Article
A Study of the Behavior and Responsibility of Slovak Drivers, Especially in Case of Fatigue
by Adrian Hajducik, Stefan Medvecky, Slavomir Hrcek and Jaromir Klarak
Appl. Sci. 2021, 11(17), 8249; https://doi.org/10.3390/app11178249 - 6 Sep 2021
Cited by 4 | Viewed by 2650
Abstract
Driver fatigue can be manifested by various highly dangerous direct and indirect symptoms, for example, inattention or lack of concentration. The aim of the study was to compare the behavior of young drivers, older drivers and professional drivers, particularly in situations where they [...] Read more.
Driver fatigue can be manifested by various highly dangerous direct and indirect symptoms, for example, inattention or lack of concentration. The aim of the study was to compare the behavior of young drivers, older drivers and professional drivers, particularly in situations where they feel fatigued. In the online questionnaire, drivers answered various questions which analysed their responsibility of driving a car during fatigue, the optimum temperature in the car, or experience with microsleep. The sample of drivers consisted of 507 women and 951 men in Slovakia. Young drivers are more responsible when driving during fatigue, while professional drivers take risks, break the law, and drive tired more often. A total of 25% of all drivers experience fatigue more than once a week. Adverse results were found in connection with driving and fatigue, where more than 42% of respondents stated that their duties require them to drive even when they are tired. A total of 27% of drivers have had microsleep while driving. The survey showed that drivers are aware that thermoneutral temperature in a car interior can improve driving performance and a lower temperature can positively affect a person’s attention. The regulation of the temperature in the car was helpful for 75% of all drivers when they felt tired, and more than 97% of the drivers lowered the temperature in the interior of the vehicle in order to achieve a better concentration. In addition to standard statistical methods, a neural network was used for the evaluation of the questionnaire, which sought for individual connections and subsequent explanations for the hypotheses. The applied neural network was able to determine parameters such as the age of the driver and the annual raid as the riskiest and closely associated with the occurrence of microsleep between drivers. Full article
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<p>Neural network training process.</p>
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14 pages, 1173 KiB  
Article
Risk-Based Virtual Power Plant Implementation Strategy for Smart Energy Communities
by Eunsung Oh
Appl. Sci. 2021, 11(17), 8248; https://doi.org/10.3390/app11178248 - 6 Sep 2021
Cited by 7 | Viewed by 2391
Abstract
This paper focuses on a virtual power plant (VPP) implementation strategy for smart local energy communities (SECs) with energy service providers. It is difficult to balance energy in the implementation stage due to uncertainties in demand and resources. Therefore, VPP implementation was modeled [...] Read more.
This paper focuses on a virtual power plant (VPP) implementation strategy for smart local energy communities (SECs) with energy service providers. It is difficult to balance energy in the implementation stage due to uncertainties in demand and resources. Therefore, VPP implementation was modeled using the risk factor of energy balance. Using this risk factor, it was shown that the temporal correlation between demand and resources was the dominant factor involved in VPP implementation. Based on this, two risk-based VPP implementation strategies are proposed: an optimization-based strategy and a simple strategy that is solved in an iterative way. To minimize VPP implementation costs, the proposed strategies select the resources that have high correlation coefficients with demand and low correlation coefficients with other resources. Experimental results using real data sets show that the proposed strategies based on the risk factor are effective means of VPP implementation for commercial and residential SECs. The results imply that VPPs for commercial SECs are possible when PV is used as the main resource and is supplemented by wind, and it is effective to configure VPPs for residential SECs using wind according to the correlation between demand and resources. Full article
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<p>Constitution of a virtual power plant for smart energy communities.</p>
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<p>Flow chart of the simple risk-based VPP implementation strategy.</p>
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<p>Typical demand of a commercial SEC (blue line) and a residential SEC (dashed red line) for a week.</p>
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<p>An example of VPP implementation for a commercial SEC.</p>
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<p>Demand purchasing ratios from the VPPs and the utility grid.</p>
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10 pages, 5501 KiB  
Article
Behavior of Generated Gas during Femtosecond Laser Lens Irradiation in Porcine Cadaver Eyes
by Yoichiro Masuda, Kotaro Oki, Akira Watanabe, Makiko Ohkido, Hisaharu Iwaki, Takuya Shiba and Tadashi Nakano
Appl. Sci. 2021, 11(17), 8247; https://doi.org/10.3390/app11178247 - 6 Sep 2021
Viewed by 1876
Abstract
(1) Background: We investigated the behavior of gas inside a lens and its influence on the lens capsule, which may cause complications by lens irradiation with a femtosecond laser cataract surgery device. (2) Methods: The crystalline lenses of 6-month-old porcine cadaver eyes were [...] Read more.
(1) Background: We investigated the behavior of gas inside a lens and its influence on the lens capsule, which may cause complications by lens irradiation with a femtosecond laser cataract surgery device. (2) Methods: The crystalline lenses of 6-month-old porcine cadaver eyes were observed during laser irradiation. An intraocular endoscope in the vitreous cavity was used to measure the posterior capsule position. Optical coherence tomography measurements of the anterior chamber depth before and after the laser irradiation, as well as measurements of the equatorial perimeter of the extracted lens, were compared with those of the controls. (3) Results: Femtosecond laser-generated gas in the porcine lens was dependent on laser irradiation energy. Increases in the amount of laser irradiation energy caused the generated gas to coalesce, move backwards beyond the laser irradiation site, and expand the lens capsule and posterior capsule. (4) Conclusions: The present results suggest that laser irradiation-induced gas moves in the direction of the posterior capsule beyond the lens irradiation site and expands the lens capsule, which may be involved in the development of capsular block syndrome. Full article
(This article belongs to the Special Issue Laser Technologies and Nonlinear Optics in Surface Sciences)
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<p>Eyeballs were placed on custom-made stands in order to achieve an appropriate height and position for femtosecond laser system CATALYS for the purpose of connecting the liquid optic interface and endoscope to the porcine eye.</p>
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<p>Although laser irradiation caused anterior chamber depth to become significantly shallower, there was no correlation with the amount of laser irradiation energy. (<b>a</b>) Box-plot diagram showing mean values of anterior chamber depth in the eye before and after laser irradiation. Boxes, interquartile range (difference between upper 75% and lower 25% quartiles); thick black lines, median; whiskers, highest and lowest values that were not outliers or extreme values. A significant difference was observed in ACD before and after laser irradiation (<span class="html-italic">p</span> = 0.042 &lt; 0.05)). (<b>b</b>) There was no correlation between laser irradiation energy dose and ACD change ratio (<span class="html-italic">p</span> = 0.054 &gt; 0.05).</p>
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<p>Generated gas by laser irradiation coalesced and moved rearward and beyond the irradiation site, thereby causing the posterior capsule to expand. Excised lens that was irradiated by the laser was expanded as compared to the control lens. (<b>a</b>–<b>d</b>) Endoscopic image after laser irradiation in lens H. (<b>a</b>) Before laser irradiation. (<b>b</b>) At 2 s after laser irradiation. (<b>c</b>) After 10 s of laser irradiation. (<b>d</b>) At 44 s after laser irradiation. Yellow dotted line indicates the starting position of laser irradiation; white dotted line indicates the posterior capsule position before laser irradiation; white arrowheads indicate posterior capsule position after expansion. (<b>e</b>,<b>f</b>) Microscopic image of extracted lens. (<b>e</b>) Control lens Y. (<b>f</b>) Lens H after laser irradiation. Scale bar is 1 mm. Laser irradiation energy amount listed in parentheses.</p>
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<p>The greater the laser irradiation energy was, the more gas was produced. If pressure exceeded maximal pressure levels of the capsule, it ruptured. (<b>a</b>–<b>c</b>) Endoscopic images of lens P during laser irradiation procedure. (<b>a</b>) Before laser irradiation. (b) Immediately before rupture by CBS during laser irradiation. (<b>c</b>) Immediately after rupture by CBS during laser irradiation. (<b>d</b>) Endoscopic images of lens P from the posterior pole of the eye after laser irradiation. White dotted line indicates capsule position before laser irradiation; white arrowheads indicate posterior position after expansion; yellow arrowheads indicate gas distribution after bursting into the vitreous cavity behind the ciliary body. (<b>e</b>,<b>f</b>) Microscopic image of extracted lens P. Error bar is 1 mm. Laser irradiation energy amount listed in parentheses.</p>
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<p>Generated gas caused the crystalline lens to become buoyant and overcome the weight of the lens, thereby allowing for it to float in the saline. Laser irradiation energy amount listed in parentheses.</p>
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<p>The PCP ratio correlated well with the laser irradiation time and laser energy amount. (<b>a</b>): The PCP ratio of 5 eyes (total laser energy amount 16.6–25 J, laser irradiation time 37.5–48.7 s). The coefficient of determination (R2) for each regression line was 0.938–0.981. The PCP ratio within this irradiation time correlated well with the laser irradiation time and laser energy amount. (<b>b</b>): The PCP ratio in lens P, which was irradiated for 261 s, linearly increased up to about 70 s (R2 = 0.981), with the slope then decreasing, followed by a burst at 240 s.</p>
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<p>Although the laser irradiation caused significantly longer average equatorial perimeter, there was no correlation with the amount of laser irradiation energy. (<b>a</b>) Box-plot diagram showing mean values of equatorial perimeter length in control lens and laser-irradiated lens. Boxes, interquartile range (difference between upper 75% and lower 25% quartiles); thick black lines, median; whiskers, highest and lowest values that were not outliers or extreme values. There was significant difference between these two groups (<span class="html-italic">p</span> = 0.001 &lt; 0.05). (<b>b</b>) No correlation was found between amount of laser irradiation energy and equatorial perimeter of laser-irradiated lens (<span class="html-italic">p</span> = 0.899 &gt; 0.05).</p>
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24 pages, 1119 KiB  
Article
Optimal Generation Start-Up Methodology for Power System Restoration Considering Conventional and Non-Conventional Renewable Energy Sources
by Ricardo Andrés Pardo-Martínez, Jesús M. López-Lezama and Nicolás Muñoz-Galeano
Appl. Sci. 2021, 11(17), 8246; https://doi.org/10.3390/app11178246 - 6 Sep 2021
Cited by 1 | Viewed by 2584
Abstract
Power system restoration must be accomplished as soon as possible after a blackout. In this process, available black-start (BS) units are used to provide cranking power to non-black-start (NBS) units so as to maximize the overall power system generation capacity. This procedure is [...] Read more.
Power system restoration must be accomplished as soon as possible after a blackout. In this process, available black-start (BS) units are used to provide cranking power to non-black-start (NBS) units so as to maximize the overall power system generation capacity. This procedure is known as the generation start-up problem, which is intrinsically combinatorial with complex non-linear constraints. This paper presents a new mixed integer linear programming (MILP) formulation for the generation start-up problem that integrates non-conventional renewable energy sources (NCRES) and battery energy storage systems (BESS). The main objective consists of determining an initial starting sequence for both BS and NBS units that would maximize the generation capacity of the system while meeting the non-served demand of the network. The nature of the proposed model leads to global optimal solutions, clearly outperforming heuristic and enumerative approaches, since the latter may take higher computational time while the former do not guarantee global optimal solutions. Several tests were carried out on the IEEE 39-bus test system considering BESS as well as wind and solar generation. The results showed the positive impact of NCRES in the restoration processes and evidenced the effectiveness and applicability of the proposed approach. It was found that including NCRES and BESS in the restoration process allows a reduction of 24.4% of the objective function compared to the classical restoration without these technologies. Full article
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<p>Flow chart of the conventional and non-conventional generation start-up methodology.</p>
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<p>Simplified scenario of NCRES participation in a restoration process.</p>
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<p>Characterization of conventional generators: (<b>a</b>) capacity curves for BS and NBS units; (<b>b</b>) starting curve of an NBS generator.</p>
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<p>Step function of the load restoration.</p>
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<p>Generalized characterization curve of a restoring BESS.</p>
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<p>NCRES generation capacity curves.</p>
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<p>Renewable resources output power data.</p>
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<p>Generation available in the system for all scenarios.</p>
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<p>Unserved energy for different scenarios.</p>
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<p>Demand recovery times.</p>
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<p>Generators start-up times.</p>
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<p>BESS resource output power.</p>
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<p>Cumulative inertia of the system.</p>
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13 pages, 1214 KiB  
Article
Effect of Plasma Surface Modification on Print Quality of Biodegradable PLA Films
by Joanna Izdebska-Podsiadły
Appl. Sci. 2021, 11(17), 8245; https://doi.org/10.3390/app11178245 - 6 Sep 2021
Cited by 18 | Viewed by 3859
Abstract
PLA films, as non-absorbent materials, require modification of the surface before the printing process in order to improve the wettability of the substrate and to obtain proper ink adhesion to the substrate. In this paper, the surfaces of two kinds of PLA films [...] Read more.
PLA films, as non-absorbent materials, require modification of the surface before the printing process in order to improve the wettability of the substrate and to obtain proper ink adhesion to the substrate. In this paper, the surfaces of two kinds of PLA films were modified using plasma activation with parameters enabling high surface free energy (SFE) values, and then the films were printed on using different kinds of flexographic inks. Two gases, oxygen and argon, were used for activation, as these make it possible to obtain good hydrophilicity and high SFE values while having different effects on the roughness, or the degree of surface etching. Plasma-activated films were subsequently subjected to the measurements of: contact angle with water, diiodomethane and three printing inks, roughness, weight change, strength properties, color and gloss change, and SFE was determined. Unmodified and activated films were flexographically printed in laboratory conditions and then the quality of obtained prints was analyzed. The results showed a strong effect of activation with both oxygen and argon plasma on the SFE value of the films and the contact angles of water and inks, with the gas used for plasma activation and the type of film significantly influencing the thickness of the fused ink layer and the resultant color. Moreover, plasma activation had a especially favorable and significant effect on the quality of prints made with water-based inks, while it had little effect when printing with solvent-based inks. Full article
(This article belongs to the Special Issue Advances in Surface Modification of the Materials)
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<p>Changes in contact angles for inks.</p>
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<p>Changes in surface free energy for (<b>a</b>) NTSS film; (<b>b</b>) BCP film.</p>
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<p>Changes in relative contrast of prints as a function of ink kind, substrate and kind of plasma activation.</p>
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<p>Color difference values between prints made on a substrate not activated before printing and activated by plasma activation using oxygen and argon.</p>
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<p>Gloss of prints measured with different geometry: (<b>a</b>) 60°; (<b>b</b>) 20° for very high gloss prints.</p>
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