[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
You seem to have javascript disabled. Please note that many of the page functionalities won't work as expected without javascript enabled.
 
 
Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (17,632)

Search Parameters:
Keywords = stability enhancement

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
20 pages, 7193 KiB  
Article
Hydrodynamic Characteristics Study of Bionic Dolphin Tail Fin Based on Bidirectional Fluid–Structure Interaction Simulation
by Ning Wang, Yu Zhang, Linghui Peng and Wenchuan Zhao
Biomimetics 2025, 10(1), 59; https://doi.org/10.3390/biomimetics10010059 (registering DOI) - 16 Jan 2025
Abstract
Using bidirectional fluid–structure interaction technology, the dorsal–ventral motion of the dolphin tail fin was simulated, and the feasibility of the numerical simulation method was validated through underwater motion experiments. This study investigated the effects of structural parameters and motion modes of bionic dolphin [...] Read more.
Using bidirectional fluid–structure interaction technology, the dorsal–ventral motion of the dolphin tail fin was simulated, and the feasibility of the numerical simulation method was validated through underwater motion experiments. This study investigated the effects of structural parameters and motion modes of bionic dolphin tail fins on their propulsion performance. The results show that flexible tail fins can enhance propulsion performance. Compared to equal-thickness flexible tail fins, variable-thickness flexible tail fins that conform to the structural characteristics of real dolphin tail fins exhibit better propulsion performance. Asymmetric motion modes have a certain thrust-enhancing effect, but altering the frequency ratio F and amplitude ratio H of heaving motion leads to an increase in pitching moment, reducing swimming stability. Additionally, the greater the difference in frequency and amplitude between the up-and-down motions, the larger the pitching moment. The study results provide references for the optimized design and motion control of bionic tail fins. Full article
(This article belongs to the Special Issue Bionic Robotic Fish: 2nd Edition)
Show Figures

Figure 1

Figure 1
<p>(<b>a</b>) Dolphin tail fin specimen and (<b>b</b>) bionic dolphin tail fin model.</p>
Full article ">Figure 2
<p>Schematic diagram of the steady-state dorsal–ventral motion trajectory of the dolphin.</p>
Full article ">Figure 3
<p>Tail fin motion model.</p>
Full article ">Figure 4
<p>Data flow diagram of Ansys bidirectional implicit fluid–structure interaction simulation analysis.</p>
Full article ">Figure 5
<p>(<b>a</b>) Computational domain model, (<b>b</b>) fluid domain mesh generation, and (<b>c</b>) solid domain mesh generation.</p>
Full article ">Figure 6
<p>Variation of (<b>a</b>) instantaneous thrust coefficient and (<b>b</b>) instantaneous lateral force coefficient with time for different time steps.</p>
Full article ">Figure 7
<p>Variation of (<b>a</b>) instantaneous thrust coefficient and (<b>b</b>) instantaneous lateral force coefficient with time for different mesh sizes.</p>
Full article ">Figure 7 Cont.
<p>Variation of (<b>a</b>) instantaneous thrust coefficient and (<b>b</b>) instantaneous lateral force coefficient with time for different mesh sizes.</p>
Full article ">Figure 8
<p>Experimental platform.</p>
Full article ">Figure 9
<p>Time-varying curves of (<b>a</b>) <math display="inline"><semantics> <mrow> <msub> <mi>C</mi> <mi>y</mi> </msub> </mrow> </semantics></math> and (<b>b</b>) <math display="inline"><semantics> <mrow> <msub> <mi>C</mi> <mi>z</mi> </msub> </mrow> </semantics></math> during the motion cycle at <math display="inline"><semantics> <mrow> <msub> <mi>z</mi> <mn>0</mn> </msub> <mo>=</mo> <mn>0.5</mn> <mtext> </mtext> <mi mathvariant="normal">C</mi> </mrow> </semantics></math> for simulation and experiment.</p>
Full article ">Figure 9 Cont.
<p>Time-varying curves of (<b>a</b>) <math display="inline"><semantics> <mrow> <msub> <mi>C</mi> <mi>y</mi> </msub> </mrow> </semantics></math> and (<b>b</b>) <math display="inline"><semantics> <mrow> <msub> <mi>C</mi> <mi>z</mi> </msub> </mrow> </semantics></math> during the motion cycle at <math display="inline"><semantics> <mrow> <msub> <mi>z</mi> <mn>0</mn> </msub> <mo>=</mo> <mn>0.5</mn> <mtext> </mtext> <mi mathvariant="normal">C</mi> </mrow> </semantics></math> for simulation and experiment.</p>
Full article ">Figure 10
<p>Variation curve of the average thrust coefficient <math display="inline"><semantics> <mrow> <msub> <mi>C</mi> <mi>T</mi> </msub> </mrow> </semantics></math> with <math display="inline"><semantics> <mrow> <msub> <mi>z</mi> <mn>0</mn> </msub> <mo>/</mo> <mi>C</mi> </mrow> </semantics></math> for simulation and experiment.</p>
Full article ">Figure 11
<p>Vortex structure.</p>
Full article ">Figure 12
<p>Schematic diagram of the cross-section of the dolphin tail fin.</p>
Full article ">Figure 13
<p>Variation curves of thrust coefficients of each tail fin at different motion frequencies: (<b>a</b>) 0.5 Hz, (<b>b</b>) 0.8 Hz, (<b>c</b>) 1 Hz; and (<b>d</b>) propulsion efficiency.</p>
Full article ">Figure 13 Cont.
<p>Variation curves of thrust coefficients of each tail fin at different motion frequencies: (<b>a</b>) 0.5 Hz, (<b>b</b>) 0.8 Hz, (<b>c</b>) 1 Hz; and (<b>d</b>) propulsion efficiency.</p>
Full article ">Figure 14
<p>Hydrodynamic parameter figures under different frequency ratios <math display="inline"><semantics> <mi>F</mi> </semantics></math>: (<b>a</b>) thrust coefficient, (<b>b</b>) average thrust coefficient, (<b>c</b>) pitching moment coefficient, and (<b>d</b>) average pitching moment coefficient.</p>
Full article ">Figure 15
<p>Hydrodynamic parameter figures under different amplitude ratios <math display="inline"><semantics> <mi>H</mi> </semantics></math>: (<b>a</b>) thrust coefficient, (<b>b</b>) average thrust coefficient, (<b>c</b>) pitching moment coefficient, and (<b>d</b>) average pitching moment coefficient.</p>
Full article ">Figure 15 Cont.
<p>Hydrodynamic parameter figures under different amplitude ratios <math display="inline"><semantics> <mi>H</mi> </semantics></math>: (<b>a</b>) thrust coefficient, (<b>b</b>) average thrust coefficient, (<b>c</b>) pitching moment coefficient, and (<b>d</b>) average pitching moment coefficient.</p>
Full article ">
14 pages, 13519 KiB  
Article
Study on the Coarsening Behavior of Interphase Precipitates and Random Precipitates in Steel Under the High-Temperature Environment of Fire
by Jinghua Cong, Yongzhe Yang, Haibin Zhu, Xueliang Shang, Hongyu Wu, Zhendong Song, Xuemin Wang and Xiangyu Xu
Metals 2025, 15(1), 73; https://doi.org/10.3390/met15010073 (registering DOI) - 16 Jan 2025
Abstract
In the domain of fire-resistant steels, the characteristics of precipitates significantly influence material properties. This study developed a novel heat treatment protocol to concurrently achieve both interphase precipitation and random precipitation. Samples were subjected to isothermal treatments at various temperatures and durations, while [...] Read more.
In the domain of fire-resistant steels, the characteristics of precipitates significantly influence material properties. This study developed a novel heat treatment protocol to concurrently achieve both interphase precipitation and random precipitation. Samples were subjected to isothermal treatments at various temperatures and durations, while techniques such as scanning electron microscopy (SEM) and transmission electron microscopy (TEM) were employed to thoroughly analyze the coarsening behavior of the two types of precipitate and reveal their thermal stability differences. The results show that the growth and coarsening rates of interphase precipitates are substantially lower than random precipitates. Coarsening kinetics analysis reveals that the radius of random precipitates follows a 1/3 power law with time at 600 °C and 650 °C, whereas the radius of interphase precipitates adheres to a 1/6 power law at 600 °C and a 1/5 power law at 650 °C. Furthermore, interphase precipitation demonstrates excellent size uniformity, which hinders the formation of a concentration gradient, thereby reducing the coarsening rate and enhancing thermal stability. After prolonged tempering treatment, interphase precipitation maintains a higher strengthening contribution than random precipitation. This study provides novel insights and theoretical foundations for the design and development of fire-resistant steels. Full article
(This article belongs to the Special Issue Design, Preparation and Properties of High Performance Steels)
Show Figures

Figure 1

Figure 1
<p>Schematic diagram illustrating the heat treatment process of the microalloyed steels.</p>
Full article ">Figure 2
<p>SEM micrographs of sample S0.</p>
Full article ">Figure 3
<p>TEM micrographs (<b>a</b>) and EDS analysis (<b>b</b>) of the precipitates in sample S0.</p>
Full article ">Figure 4
<p>SEM micrographs (<b>a</b>,<b>c</b>,<b>e</b>,<b>g</b>) and binarized images (<b>b</b>,<b>d</b>,<b>f</b>,<b>h</b>) of precipitates with different isothermal holdings time at 600 °C in the microalloyed steels. (<b>a</b>,<b>b</b>) S0 (<b>c</b>,<b>d</b>) S0-600 °C-1 h, (<b>e</b>,<b>f</b>) S0-600 °C-3 h, (<b>g</b>,<b>h</b>) S0-600 °C-10 h.</p>
Full article ">Figure 5
<p>SEM micrographs (<b>a</b>,<b>c</b>,<b>e</b>,<b>g</b>) and binarized images (<b>b</b>,<b>d</b>,<b>f</b>,<b>h</b>) of precipitates with different isothermal holding times at 650 °C in the microalloyed steels. (<b>a</b>,<b>b</b>) S0, (<b>c</b>,<b>d</b>) S0-650 °C-1 h, (<b>e</b>,<b>f</b>) S0-650 °C-3 h, (<b>g</b>,<b>h</b>) S0-650 °C-10 h.</p>
Full article ">Figure 6
<p>Variation of the average diameter of precipitates with different isothermal holding times at 600 °C (<b>a</b>) and 650 °C (<b>b</b>) in the microalloyed steels.</p>
Full article ">Figure 7
<p>Plot of the mean radius of different precipitates against time at 600 °C: (<b>a</b>) is interphase precipitation; (<b>b</b>) is random precipitation.</p>
Full article ">Figure 8
<p>Plot of the mean radius of different precipitates against time at 650 °C: (<b>a</b>) is interphase precipitation; (<b>b</b>) is random precipitation.</p>
Full article ">Figure 9
<p>Variation of the average density of precipitates with different isothermal holding times at 600 °C in the microalloyed steels.</p>
Full article ">Figure 10
<p>Distributions of precipitate diameter determined from the SEM images of the microalloyed steels held at 600 °C for various times: (<b>a</b>–<b>d</b>) are the statistical diagrams of random precipitation; (<b>e</b>–<b>h</b>) are the statistical diagrams of interphase precipitation (FWHM: the full width at half-maximum).</p>
Full article ">Figure 11
<p>Schematic diagram of the diffusion of Ti atoms between interphase precipitation and random precipitation.</p>
Full article ">Figure 12
<p>Schematic illustration of changes in the morphology and nature of precipitates during different processes.</p>
Full article ">
18 pages, 3299 KiB  
Article
Intermittent Optimization of Shale Gas Wells Based on Reservoir–Wellbore Coupling
by Yu Fan, Jiaxiao Chen, Jianhua Xiang, Changqing Ye and Guoqing Han
Processes 2025, 13(1), 247; https://doi.org/10.3390/pr13010247 (registering DOI) - 16 Jan 2025
Abstract
Shale gas, as an important component of unconventional energy, holds enormous potential value in the energy sector. However, due to the complex geological characteristics and fluid flow mechanisms of shale gas reservoirs, its exploitation faces numerous challenges. This study focuses on the optimization [...] Read more.
Shale gas, as an important component of unconventional energy, holds enormous potential value in the energy sector. However, due to the complex geological characteristics and fluid flow mechanisms of shale gas reservoirs, its exploitation faces numerous challenges. This study focuses on the optimization of intermittent production methods for shale gas wells in the Changning block. In this study, a dynamic coordination model of formation recharge and wellhead output was established using real-time pressure monitoring and historical production records as key inputs. Based on this, the dimensionless production efficiency index was optimized by finely regulating the switching timing of the wellhead, thus significantly enhancing the cumulative oil production of the well. The conclusions indicate that the optimization methods proposed in this study can effectively guide the production operations of shale gas wells in the Changning block, thereby enhancing production yield and stability. This research contributes practical value to the field by offering theoretical support and practical guidance for shale gas exploitation, addressing technical challenges in the process. Full article
Show Figures

Figure 1

Figure 1
<p>Comparison between IPR curve prediction results and actual results.</p>
Full article ">Figure 2
<p>Dynamic model diagram of shut-in flow phase.</p>
Full article ">Figure 3
<p>Curve of raw casing pressure over time during shut-in.</p>
Full article ">Figure 4
<p>Pressure curve during shut-in period.</p>
Full article ">Figure 5
<p>Gas–liquid distribution diagram during well opening.</p>
Full article ">Figure 6
<p>Iterative calculation flow.</p>
Full article ">Figure 7
<p>Multi-solvability of flow rates and wellhead pressures.</p>
Full article ">Figure 8
<p>Flow chart of convergence algorithm for pressure boundary conditions.</p>
Full article ">Figure 9
<p>Instantaneous production curve of well opening model.</p>
Full article ">Figure 10
<p>High-production time identification.</p>
Full article ">
14 pages, 11007 KiB  
Article
Shear Performance of Vertical Joints in Wind Turbine Concrete Towers with Different Interface Processes
by Yang Zhou, Ertong Hao, Yudong Ran, Hai Cao, Yane Li and Jike Tan
Buildings 2025, 15(2), 250; https://doi.org/10.3390/buildings15020250 (registering DOI) - 16 Jan 2025
Abstract
As a weak part of the concrete tower in wind turbines, the insufficient shear capacity of vertical joints can cause the local shear failure of the tower, reduce the overall bearing capacity and stability of the tower, and lead to safety issues. At [...] Read more.
As a weak part of the concrete tower in wind turbines, the insufficient shear capacity of vertical joints can cause the local shear failure of the tower, reduce the overall bearing capacity and stability of the tower, and lead to safety issues. At present, the splicing of tower vertical joints mainly uses epoxy resin filling and arc bolt connections. However, sometimes the concrete near the vertical joints is damaged due to compression after applying pretension to the arc bolts, which will affect the bearing capacity and stability of the entire tower structure. If other interface processes are used for vertical joint splicing, the shear performance will be directly affected. Therefore, in order to study the influence of different interface processes on the shear performance of vertical joints in concrete tower tubes, four vertical joint specimens were designed for a pull-out test under shear load and the failure mode of the specimens and the shear capacity of the vertical joint interface were analyzed and studied. The results showed that with an increase in epoxy thickness and the application of an interface chiseling treatment, as well as injecting epoxy resin into the channels, the shear performance of vertical joints could be enhanced. Finally, based on existing research and standardized design methods, the shear capacity of vertical joints in wind turbine concrete towers was predicted, which showed that the existing design methods were not yet fully applicable to the shear capacity design of vertical joints in wind turbine concrete towers with different interface processes. Further research is needed to supplement and improve them. Full article
(This article belongs to the Special Issue Advances in Mechanical Behavior of Prefabricated Structures)
Show Figures

Figure 1

Figure 1
<p>Process for vertical joint assembly of a concrete tower.</p>
Full article ">Figure 2
<p>Collapse of concrete at vertical joints.</p>
Full article ">Figure 3
<p>Specimen detailing.</p>
Full article ">Figure 4
<p>Construction process.</p>
Full article ">Figure 5
<p>Test set-up and measurement scheme.</p>
Full article ">Figure 6
<p>Typical failure patterns: (<b>a</b>) HSGJ-1; (<b>b</b>) HSGJ-2; (<b>c</b>) HSGJ-3; (<b>d</b>) HSGJ-4.</p>
Full article ">Figure 6 Cont.
<p>Typical failure patterns: (<b>a</b>) HSGJ-1; (<b>b</b>) HSGJ-2; (<b>c</b>) HSGJ-3; (<b>d</b>) HSGJ-4.</p>
Full article ">Figure 7
<p>Comparison of the shear capacity of different specimens.</p>
Full article ">Figure 8
<p>Comparison of strain of different specimens: (<b>a</b>) HSGJ-1; (<b>b</b>) HSGJ-4.</p>
Full article ">Figure 9
<p>Comparison of <span class="html-italic">V</span><sub>e/</sub><span class="html-italic">V</span><sub>j</sub> for each specimen.</p>
Full article ">
26 pages, 1316 KiB  
Review
Characteristics and Functional Properties of Bioactive Oleogels: A Current Review
by Md. Jannatul Ferdaus, Niaz Mahmud, Sudipta Talukder and Roberta Claro da Silva
Gels 2025, 11(1), 69; https://doi.org/10.3390/gels11010069 (registering DOI) - 16 Jan 2025
Abstract
Oleogels have been a revolutionary innovation in food science in terms of their health benefits and unique structural properties. They provide a healthier alternative to traditional solid or animal fats. They have improved oxidative stability and nutritional value to maintain the desirable sensory [...] Read more.
Oleogels have been a revolutionary innovation in food science in terms of their health benefits and unique structural properties. They provide a healthier alternative to traditional solid or animal fats. They have improved oxidative stability and nutritional value to maintain the desirable sensory qualities of lipid-based foods. Moreover, oleogels offer an ideal carrier for poorly water-soluble bioactive compounds. The three-dimensional structure of oleogels can protect and deliver bioactive compounds in functional food products. Bioactive compounds also affect the crystalline behavior of oleogelators, the physical properties of oleogels, and storage stability. Generally, different incorporation techniques are applied to entrap bioactive compounds in the oleogel matrix depending on their characteristics. These approaches enhance the bioavailability, controlled release, stability of bioactive compounds, and the shelf life of oleogels. The multifunctionality of oleogels extends their applications beyond fat replacements, e.g., food preservation, nutraceutical delivery, and even novel innovations like 3D food printing. Despite their potential, challenges such as large-scale production, cost efficiency, and consumer acceptance remain areas for further exploration. This review emphasizes the understanding of the relationship between the structure of oleogels and their functional properties to optimize their design in different food applications. It also highlights the latest advancements in bioactive oleogels, focusing on how they incorporate bioactive compounds such as polyphenols, essential oils, and flavonoids into oleogels. The impact of these compounds on the gelation process, storage stability, and overall functionality of oleogels is also critically examined. Full article
(This article belongs to the Special Issue Design, Fabrication, and Applications of Food Composite Gels)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Incorporation techniques of hydrophobic and hydrophilic bioactive compounds in oleogels.</p>
Full article ">Figure 2
<p>Effect of bioactive compounds on the physical properties of oleogels.</p>
Full article ">
25 pages, 7600 KiB  
Review
A Review of Enhanced Methods for Oil Recovery from Sediment Void Oil Storage in Underground Salt Caverns
by Xinxing Wei, Xilin Shi, Yinping Li, Peng Li, Mingnan Xu, Yashuai Huang and Yang Hong
Energies 2025, 18(2), 360; https://doi.org/10.3390/en18020360 (registering DOI) - 16 Jan 2025
Abstract
Salt caverns are recognized as an excellent medium for energy storage. However, due to the unique characteristics of China’s bedded salt formations, which contain numerous salt layers and a high concentration of insoluble impurities, significant accumulation at the bottom of salt caverns occurs, [...] Read more.
Salt caverns are recognized as an excellent medium for energy storage. However, due to the unique characteristics of China’s bedded salt formations, which contain numerous salt layers and a high concentration of insoluble impurities, significant accumulation at the bottom of salt caverns occurs, leading to the formation of extensive sediment voids. These sediment voids offer a potential space for underground oil storage, referred to as sediment void oil storage (SVOS). Oil recovery process from these sediment voids is a critical process. This paper summarizes the oil recovery technologies for SVOS and identifies four key factors—geological evaluation, stability evaluation, tightness evaluation, and oil storage capacity—all of which influence enhance oil recovery from sediment voids. This paper also outlines the overall oil recovery process, presents oil recovery experiments, and discusses oil recovery methods for enhancing oil recovery from sediment void. Additionally, it addresses the challenges of oil recovery in SVOS and explores its potential advantages and applications. The findings suggest that salt cavern sediment voids, as a promising storage space, provide a new approach to realize oil recovery and can overcome the limitations associated with cavern construction in high-impurity salt mines. The oil recovery from the sediment void is feasible, and China has rich rock salt and other convenient conditions to develop SVOS technology. Full article
(This article belongs to the Special Issue Enhanced Oil Recovery: Numerical Simulation and Deep Machine Learning)
Show Figures

Figure 1

Figure 1
<p>Crude oil imports and oil dependence in China [<a href="#B17-energies-18-00360" class="html-bibr">17</a>]. (<b>a</b>) Oil import and growth rate from 2012 to 2022. (<b>b</b>) Oil dependency and growth rate from 2012 to 2022.</p>
Full article ">Figure 2
<p>Distribution of oil reservoirs in the world [<a href="#B28-energies-18-00360" class="html-bibr">28</a>].</p>
Full article ">Figure 3
<p>Distribution of salt cavern oil storage projects in the world [<a href="#B53-energies-18-00360" class="html-bibr">53</a>].</p>
Full article ">Figure 4
<p>Operation mode of traditional salt cavern oil storage system [<a href="#B54-energies-18-00360" class="html-bibr">54</a>].</p>
Full article ">Figure 5
<p>Comparison of rock salt characteristics in the US and China. (<b>a</b>) Rock salt occurrence in the US. (<b>b</b>) Rock salt occurrence in the China.</p>
Full article ">Figure 6
<p>The novel salt cavern sediment void oil storage utilization system [<a href="#B27-energies-18-00360" class="html-bibr">27</a>]. (<b>a</b>) oil storage system of sediment void oil storage method. (<b>b</b>) Oil utilization system of sediment void oil storage method.</p>
Full article ">Figure 7
<p>Comparison of novel sediment void oil storage technology and traditional salt cavern oil storage technology [<a href="#B41-energies-18-00360" class="html-bibr">41</a>]. (<b>a</b>) The novel sediment void oil storage technology. (<b>b</b>) Traditional salt cavern oil storage technology.</p>
Full article ">Figure 8
<p>Geological evaluation of oil recovery from sediment void.</p>
Full article ">Figure 9
<p>Stability evaluation method of salt cavern sediment void oil recovery process.</p>
Full article ">Figure 10
<p>The cavern shape and volume detection technology by sonar [<a href="#B73-energies-18-00360" class="html-bibr">73</a>].</p>
Full article ">Figure 11
<p>The oil recovery process from the salt cavern sediment void.</p>
Full article ">Figure 12
<p>The overall oil recovery process in salt cavern sediment void.</p>
Full article ">Figure 13
<p>The oil recovery experiment from the salt cavern sediment void [<a href="#B41-energies-18-00360" class="html-bibr">41</a>]. (<b>a</b>) Oil recovery from sediment void equipment. (<b>b</b>) Oil recovery process from the sediment void.</p>
Full article ">Figure 14
<p>The results of oil recovery from the salt cavern sediment void [<a href="#B41-energies-18-00360" class="html-bibr">41</a>].</p>
Full article ">Figure 15
<p>Feasibility evaluation of salt cavern sediment void oil storage in China.</p>
Full article ">Figure 16
<p>The potential engineering applications of salt cavern sediment void oil storage [<a href="#B79-energies-18-00360" class="html-bibr">79</a>].</p>
Full article ">
16 pages, 2703 KiB  
Article
Research on RTD Fluxgate Induction Signal Denoising Method Based on Particle Swarm Optimization Wavelet Neural Network
by Xu Hu, Na Pang, Haibo Guo, Rui Wang, Fei Li and Guo Li
Sensors 2025, 25(2), 482; https://doi.org/10.3390/s25020482 (registering DOI) - 16 Jan 2025
Abstract
Aeromagnetic surveying technology detects minute variations in Earth’s magnetic field and is essential for geological studies, environmental monitoring, and resource exploration. Compared to conventional methods, residence time difference (RTD) fluxgate sensors deployed on unmanned aerial vehicles (UAVs) offer increased flexibility in complex terrains. [...] Read more.
Aeromagnetic surveying technology detects minute variations in Earth’s magnetic field and is essential for geological studies, environmental monitoring, and resource exploration. Compared to conventional methods, residence time difference (RTD) fluxgate sensors deployed on unmanned aerial vehicles (UAVs) offer increased flexibility in complex terrains. However, measurement accuracy and reliability are adversely affected by environmental and sensor noise, including Barkhausen noise. Therefore, we proposed a novel denoising method that integrates Particle Swarm Optimization (PSO) with Wavelet Neural Networks, enhanced by a dynamic compression factor and an adaptive adjustment strategy. This approach leverages PSO to fine-tune the Wavelet Neural Network parameters in real time, significantly improving denoising performance and computational efficiency. Experimental results indicate that, compared to conventional wavelet transform methods, this approach reduces time difference fluctuation by 23.26%, enhances the signal-to-noise ratio (SNR) by 0.46%, and improves sensor precision and stability. This novel approach to processing RTD fluxgate sensor signals not only strengthens noise suppression and measurement accuracy but also holds significant potential for improving UAV-based geological surveying and environmental monitoring in challenging terrains. Full article
Show Figures

Figure 1

Figure 1
<p>Structure diagram of RTD fluxgate sensitive unit.</p>
Full article ">Figure 2
<p>Working principle of RTD fluxgate. (<b>a</b>) A hysteresis loop approaching the ideal state; (<b>b</b>) Magnetic induction intensity generated in the induction coil; (<b>c</b>) exciting magnetic field; (<b>d</b>) The induced voltage output.</p>
Full article ">Figure 3
<p>Topological structure of Wavelet Neural Network.</p>
Full article ">Figure 4
<p>Flow chart of PSO algorithm.</p>
Full article ">Figure 5
<p>Improved PSO–Wavelet Neural Network flow chart.</p>
Full article ">Figure 6
<p>Denoising performance at the signal peak.</p>
Full article ">Figure 7
<p>Overall denoising effect.</p>
Full article ">Figure 8
<p>PSD of time difference signals.</p>
Full article ">
21 pages, 1912 KiB  
Article
Unravelling the Digestibility and Structure–Function Relationship of Lentil Protein Through Germination and Molecular Weight Fractionation
by Armin Mirzapour-Kouhdasht, Samaneh Shaghaghian, Marjan Majdinasab, Jen-Yi Huang and Marco Garcia-Vaquero
Foods 2025, 14(2), 272; https://doi.org/10.3390/foods14020272 (registering DOI) - 16 Jan 2025
Abstract
This study explores for the first time the impact of a 6-day germination process on the structure (FTIR), antioxidant activity, nutritional/safety attributes (ACE-I inhibitory activity, digestibility, and cytotoxicity), and functional properties of fractions of variable molecular weight (W > 5 kDa; 3 kDa [...] Read more.
This study explores for the first time the impact of a 6-day germination process on the structure (FTIR), antioxidant activity, nutritional/safety attributes (ACE-I inhibitory activity, digestibility, and cytotoxicity), and functional properties of fractions of variable molecular weight (W > 5 kDa; 3 kDa < MW < 5 kDa; and MW < 3 kDa) isolated from proteins extracted from lentils. FTIR results indicated a substantial increase in β-sheet contents during germination. The digestibility of proteins increased from day 0 (16.32–17.04%) to day 6 of germination (24.92–26.05%) with variable levels of digestibility depending on their MW. ACE-I inhibitory activity improved during germination in all fractions, reaching IC50 values of 0.95, 0.83, and 0.69 mg/mL after 6 days of germination. All antioxidant activities analyzed notably increased, particularly in low-MW fractions (MW < 3 kDa). The functional properties of low-MW fractions were also the most promising, displaying the highest water and fat binding capacities and emulsifying and foaming capacities but lower foaming and emulsifying stability compared to high-MW fractions. Cytotoxicity tests on L929 cells revealed the slight adverse effects of low-MW fractions during germination. This study provides insights into the enhanced nutritional and functional attributes of lentil proteins following germination, emphasizing their potential application in functional foods. Full article
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>The evolution of lentil seeds during the germination process over a 6-day period.</p>
Full article ">Figure 2
<p>A schematic flow diagram illustrating the experimental design followed during this study.</p>
Full article ">Figure 3
<p>FTIR spectra of protein isolates generated from lentil seeds during germination (days 0–6). Results were recorded three times for each sample.</p>
Full article ">Figure 4
<p>Cytotoxicity of different MW fractions achieved from protein isolates from lentils during process of germination (days 0–6) using L929 cell lines. Different uppercase letters indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05) in cytotoxicity between fractions of different MW within same germination day. Lowercase letters indicate statistically significant (<span class="html-italic">p</span> &lt; 0.05) differences in cytotoxicity between different germination days at same MW. Data are shown as average of three replicates.</p>
Full article ">Figure 5
<p>Antioxidant activities: (<b>a</b>) DPPH (%), (<b>b</b>) Fe chelating (%), (<b>c</b>) hydroxyl radical (%), and (<b>d</b>) FRAP (A) activities of different MW fractions achieved from protein isolates from lentils during process of germination (days 0–6). Different uppercase letters indicate statistically significant differences (<span class="html-italic">p</span> &lt; 0.05) in antioxidant activity between fractions of different MW within same germination day. Lowercase letters indicate statistically significant (<span class="html-italic">p</span> &lt; 0.05) differences in antioxidant activity between different germination days at same MW. Data are shown as average of two replicates.</p>
Full article ">
16 pages, 1684 KiB  
Article
Utilization of Thermal-Activated Coal Gangue to Enhance the Properties of Sandy Soil Composites
by Wangtao Fan, Ruofan Liu, Runxia Zhang, Xiaoguang Chen, Jin Li, Aochen Zhang, Jing Qian, Zhaolin Gu and Jianyun Wang
Appl. Sci. 2025, 15(2), 817; https://doi.org/10.3390/app15020817 - 15 Jan 2025
Abstract
To effectively solve the problem of land sanding and improve the water- and element-retaining properties of sandy soil, a thermal-activated coal gangue (TACG) was used as an ameliorating material to prepare a composite soil mixed with sandy soil to enhance the water-retaining and [...] Read more.
To effectively solve the problem of land sanding and improve the water- and element-retaining properties of sandy soil, a thermal-activated coal gangue (TACG) was used as an ameliorating material to prepare a composite soil mixed with sandy soil to enhance the water-retaining and fertilizer-fixing properties of the sandy soil and reduce the evaporation of water in the soil. The structure and thermal stability of the gangue were characterized using Fourier transform infrared spectroscopy and thermogravimetric analysis. By applying different dosages and different calcination temperatures of the TACG, the water-holding capacity of the mixed soil was determined, and changes in pore structure were observed. When the dosage was 15% and the calcination temperature was 600 °C, the mixed soil possessed the most excellent distribution of pore structure and could effectively prevent water evaporation. Meanwhile, the application of the TACG in sandy soil improved its adsorption of K+, which showed the potential application of thermally activated gangue materials in the field of soil improvement. Full article
(This article belongs to the Special Issue Sustainable and Low-Carbon Building Materials in Special Areas)
17 pages, 3554 KiB  
Article
Differences in the Sensitivity of Gross Primary Productivity and Ecosystem Respiration to Precipitation
by Weirong Zhang, Wenjing Chen, Mingze Xu, Kai Di, Ming Feng, Liucui Wu, Mengdie Wang, Wanxin Yang, Heng Xie, Jinkai Chen, Zehao Fan, Zhongmin Hu and Chuan Jin
Forests 2025, 16(1), 153; https://doi.org/10.3390/f16010153 - 15 Jan 2025
Abstract
The spatiotemporal variability of precipitation profoundly influences terrestrial carbon fluxes, driving shifts between carbon source and sink dynamics through gross primary productivity (GPP) and ecosystem respiration (ER). As a result, the sensitivities of GPP and ER to precipitation (SGPP and S [...] Read more.
The spatiotemporal variability of precipitation profoundly influences terrestrial carbon fluxes, driving shifts between carbon source and sink dynamics through gross primary productivity (GPP) and ecosystem respiration (ER). As a result, the sensitivities of GPP and ER to precipitation (SGPP and SER), along with their differential responses, are pivotal for understanding ecosystem reactions to precipitation changes and predicting future ecosystem functions. However, comprehensive evaluations of the spatiotemporal variability and differences in SGPP and SER remain notably scarce. In this study, we utilized eddy covariance flux data to investigate the spatial patterns, temporal dynamics, and differences in SGPP and SER. Spatially, SGPP and SER were generally strongly correlated. Among different ecosystems, the correlation between SGPP and SER was lowest in mixed forest and highest in broadleaf and needleleaf forest. Within the same ecosystem, SGPP and SER exhibited considerable variation but showed no significant differences. In contrast, they differed significantly across ecosystems, with pronounced variability in their magnitudes. For example, shrubland exhibited the highest values for SGPP, whereas needleleaf forest showed the highest values for SER. Temporally, SER demonstrated more pronounced changes than SGPP. Different ecosystems displayed distinct trends: shrubland exhibited an upward trend for both metrics, while grassland showed a downward trend in both SGPP and SER. Forest, on the other hand, maintained stable SGPP but displayed a downward trend in SER. Additionally, SGPP and SER exhibited a notable non-linear response to changes in the aridity index (AI), with both showing a rapid decline followed by stabilization. However, SER demonstrated a wider adaptive range to precipitation changes. Generally, this research enhances our understanding of the spatiotemporal variations in ecosystem carbon fluxes under changing precipitation patterns. Full article
Show Figures

Figure 1

Figure 1
<p>Global distribution of study sites across five ecosystems: cropland, forest, grassland, shrubland, and wetland.</p>
Full article ">Figure 2
<p>Whittaker biome classification of global distribution of the sensitivity of gross primary productivity and ecosystem respiration to precipitation (<span class="html-italic">S</span><sub>GPP</sub> and <span class="html-italic">S</span><sub>ER</sub>): (<b>A</b>) <span class="html-italic">S</span><sub>GPP</sub>, and (<b>B</b>) <span class="html-italic">S</span><sub>ER</sub>.</p>
Full article ">Figure 3
<p>Differences and variability between the sensitivity of gross primary productivity and ecosystem respiration to precipitation (<span class="html-italic">S</span><sub>GPP</sub> and <span class="html-italic">S</span><sub>ER</sub>): (<b>A</b>) overall differences across all ecosystems, (<b>B</b>) differences among different ecosystems, (<b>C</b>) overall variability across all ecosystems, and (<b>D</b>) variability among different ecosystems.</p>
Full article ">Figure 4
<p>Differences and variability in the sensitivity of gross primary productivity and ecosystem respiration to precipitation (<span class="html-italic">S</span><sub>GPP</sub> and <span class="html-italic">S</span><sub>ER</sub>) among different ecosystems: (<b>A</b>) <span class="html-italic">S</span><sub>GPP</sub> differences, (<b>B</b>) <span class="html-italic">S</span><sub>ER</sub> differences, (<b>C</b>) variability in <span class="html-italic">S</span><sub>GPP</sub>, and (<b>D</b>) variability in <span class="html-italic">S</span><sub>ER</sub>. The letters in panels (<b>A,B</b>) indicate significant differences (<span class="html-italic">p</span> &lt; 0.05), while the numbers in panels (<b>C</b>,<b>D</b>) represent the coefficient of variation (CV) for each ecosystem.</p>
Full article ">Figure 5
<p>Relationship between the sensitivity of gross primary productivity and ecosystem respiration to precipitation (<span class="html-italic">S</span><sub>GPP</sub> and <span class="html-italic">S</span><sub>ER</sub>) across different ecosystems: (<b>A</b>) regression relationship of <span class="html-italic">S</span><sub>GPP</sub> and <span class="html-italic">S</span><sub>ER</sub> for all ecosystems, and (<b>B</b>) regression relationship of <span class="html-italic">S</span><sub>GPP</sub> and <span class="html-italic">S</span><sub>ER</sub> across different ecosystems.</p>
Full article ">Figure 6
<p>Sensitivity of gross primary productivity and ecosystem respiration to precipitation (<span class="html-italic">S</span><sub>GPP</sub> and <span class="html-italic">S</span><sub>ER</sub>) across changes in the aridity index (AI): (<b>A</b>) changes in <span class="html-italic">S</span><sub>GPP</sub> with AI when <span class="html-italic">S</span><sub>GPP</sub> is positive, (<b>B</b>) changes in <span class="html-italic">S</span><sub>ER</sub> with AI when <span class="html-italic">S</span><sub>ER</sub> is positive, (<b>C</b>) changes in <span class="html-italic">S</span><sub>GPP</sub> with AI when <span class="html-italic">S</span><sub>GPP</sub> is negative, and (<b>D</b>) changes in <span class="html-italic">S</span><sub>ER</sub> with AI when <span class="html-italic">S</span><sub>ER</sub> is negative.</p>
Full article ">Figure 7
<p>The sensitivity of gross primary productivity and ecosystem respiration to precipitation (<span class="html-italic">S</span><sub>GPP</sub> and <span class="html-italic">S</span><sub>ER</sub>) across changes in the mean annual precipitation (MAP): (<b>A</b>) changes in <span class="html-italic">S</span><sub>GPP</sub> with MAP when <span class="html-italic">S</span><sub>GPP</sub> is positive, (<b>B</b>) changes in <span class="html-italic">S</span><sub>ER</sub> with MAP when <span class="html-italic">S</span><sub>ER</sub> is positive, (<b>C</b>) changes in <span class="html-italic">S</span><sub>GPP</sub> with MAP when <span class="html-italic">S</span><sub>GPP</sub> is negative, and (<b>D</b>) changes in <span class="html-italic">S</span><sub>ER</sub> with MAP when <span class="html-italic">S</span><sub>ER</sub> is negative.</p>
Full article ">Figure 8
<p>Temporal trends of the sensitivity of gross primary productivity to precipitation (<span class="html-italic">S</span><sub>GPP</sub>) across different ecosystems: (<b>A</b>) grassland, (<b>B</b>) cropland, (<b>C</b>) forest, (<b>D</b>) shrubland, (<b>E</b>) wetland, and (<b>F</b>) forest subtypes. Note: For ecosystems with significant linear trends, trend lines and error intervals (in gray, mean ± SE) were shown. For ecosystems without linear trends, only the distribution of points along with <span class="html-italic">R</span><sup>2</sup> and <span class="html-italic">p</span>-values were presented to statistically confirm the absence of a linear trend.</p>
Full article ">Figure 9
<p>Temporal trends of the sensitivity of ecosystem respiration to precipitation (<span class="html-italic">S</span><sub>ER</sub>) across different ecosystems: (<b>A</b>) grassland, (<b>B</b>) cropland, (<b>C</b>) forest, (<b>D</b>) shrubland, (<b>E</b>) wetland, and (<b>F</b>) forest subtypes. Note: For ecosystems with significant linear trends, trend lines and error intervals (in gray, mean ± SE) were shown. For ecosystems without linear trends, only the distribution of points along with <span class="html-italic">R</span><sup>2</sup> and <span class="html-italic">p</span>-values were presented to statistically confirm the absence of a linear trend.</p>
Full article ">Figure 10
<p>The main factors influencing the sensitivity of gross primary productivity and ecosystem respiration to precipitation (<span class="html-italic">S</span><sub>GPP</sub> and <span class="html-italic">S</span><sub>ER</sub>) across different ecosystems: (<b>A</b>) grassland <span class="html-italic">S</span><sub>ER</sub> and mean annual precipitation (MAP), (<b>B</b>) grassland <span class="html-italic">S</span><sub>GPP</sub> and mean annual precipitation, (<b>C</b>) grassland <span class="html-italic">S</span><sub>ER</sub> and mean annual temperature (MAT), (<b>D</b>) wetland <span class="html-italic">S</span><sub>GPP</sub> and MAT, and (<b>E</b>) grassland <span class="html-italic">S</span><sub>ER</sub> and vapor pressure deficit (VPD). Note: for the statistical analysis, we selected sites with at least 10 years of data within each ecosystem, rather than using all available sites within each ecosystem.</p>
Full article ">
27 pages, 10040 KiB  
Article
An Over-Actuated Hexacopter Tilt-Rotor UAV Prototype for Agriculture of Precision: Modeling and Control
by Gabriel Oliveira Pimentel, Murillo Ferreira dos Santos, José Lima, Paolo Mercorelli and Fernanda Mara Fernandes
Sensors 2025, 25(2), 479; https://doi.org/10.3390/s25020479 - 15 Jan 2025
Abstract
This paper focuses on the modeling, control, and simulation of an over-actuated htr. This configuration implies that two of the six actuators are independently tilted using servomotors, which provide high maneuverability and reliability. This approach is predicted to maintain zero pitch throughout the [...] Read more.
This paper focuses on the modeling, control, and simulation of an over-actuated htr. This configuration implies that two of the six actuators are independently tilted using servomotors, which provide high maneuverability and reliability. This approach is predicted to maintain zero pitch throughout the trajectory and is expected to improve the aircraft’s steering accuracy. This arrangement is particularly beneficial for pa applications where accurate monitoring and management of crops are critical. The enhanced maneuverability allows for precise navigation in complex vineyard environments, enabling the uav to perform tasks such as aerial imaging and crop health monitoring. The employed control architecture consists of cascaded p-pid controllers using the slc method on the five controlled dof. Simulated results using Gazebo demonstrate that the htr achieves stability and maneuverability throughout the flight path, significantly improving precision agriculture practices. Furthermore, a comparison of the htr with a traditional hexacopter validates the proposed approach. Full article
(This article belongs to the Special Issue Dynamics and Control System Design for Robot Manipulation)
13 pages, 1890 KiB  
Article
Development of RT-PCR Assays for Simple Detection and Identification of Sabin Virus Contaminants in the Novel Oral Poliovirus Vaccines
by Olga Singh, Hasmik Manukyan, Erman Tritama, Shwu-Maan Lee, Jerry P. Weir and Majid Laassri
Vaccines 2025, 13(1), 75; https://doi.org/10.3390/vaccines13010075 - 15 Jan 2025
Abstract
Background/Objectives: Conventional live oral poliovirus vaccines (OPVs) effectively prevent poliomyelitis. These vaccines are derived from three attenuated Sabin strains of poliovirus, which can revert within the first week of replication to a neurovirulent phenotype, leading to sporadic cases of vaccine-associated paralytic poliomyelitis (VAPP) [...] Read more.
Background/Objectives: Conventional live oral poliovirus vaccines (OPVs) effectively prevent poliomyelitis. These vaccines are derived from three attenuated Sabin strains of poliovirus, which can revert within the first week of replication to a neurovirulent phenotype, leading to sporadic cases of vaccine-associated paralytic poliomyelitis (VAPP) among vaccinees and their contacts. A novel OPV2 vaccine (nOPV2) with enhanced genetic stability was developed recently; type 1 and type 3 nOPV strains were engineered using the nOPV2 genome as a backbone by replacing the capsid precursor polyprotein (P1) with that of Sabin strains type 1 and type 3, respectively. The nOPV vaccines have a high degree of sequence homology with the parental Sabin 2 genome, and some manufacturing facilities produce and store both Sabin OPV and nOPV. Therefore, detecting Sabin virus contaminations in nOPV lots is crucial. Methods: This study describes the development of pan quantitative reverse transcription polymerase chain reaction (panRT-PCR) and multiplex one-step RT-PCR (mosRT-PCR) assays for the straightforward detection and identification of contaminating Sabin viruses when present in significantly higher amounts of nOPV strains. Results: The two assays exhibit high specificity, reproducibility, and sensitivity to detect 0.0001% and 0.00001% of Sabin viruses in nOPV, respectively. Additionally, an analysis of 12 trivalent nOPV formulation lots using both methods confirmed that the nOPV lots were free from Sabin virus contamination. Conclusions: The results demonstrated that the RT-PCR assays are sensitive and specific. These assays are relevant for quality control and lot release of nOPV vaccines. Full article
(This article belongs to the Special Issue Recent Scientific Development of Poliovirus Vaccines)
Show Figures

Figure 1

Figure 1
<p>Genomic location of primers and TaqMan probes used for detection and identification of Sabin viruses in nOPV vaccines: (<b>A</b>) primers and TaqMan probe used in panRT-PCR assay; (<b>B</b>) primers and TaqMan probes used in mosRT-PCR assay for detection and Sabin 1 and 3 strains.</p>
Full article ">Figure 2
<p>Evaluation of the assays’ specificity. (<b>A</b>) panRT-PCR assay; (<b>B</b>) mosRT-PCR assay.</p>
Full article ">Figure 3
<p>Evaluation of sensitivity and linearity of the panRT-PCR assay (Three repeats were used): Analysis of samples composed of individual Sabin strains and the three Sabin strains mixture spiked in the tOPV. Percentages of Sabin viruses in the tnOPV were calculated based on the titers of the viruses expressed on genome copy number (GC#)/mL.</p>
Full article ">Figure 4
<p>Evaluation of sensitivity and linearity of the mosRT-PCR assay (Three repeats were used): (<b>A</b>) analysis of samples composed of individual Sabin strains spiked in the tnOPV; (<b>B</b>) analysis of samples composed of the three Sabin strains mixture spiked in the tnOPV. Percentages of Sabin viruses in the tnOPV were calculated based on the titers of the viruses expressed on genome copy number (GC#)/mL.</p>
Full article ">
23 pages, 1572 KiB  
Review
Fibroin-Hybrid Systems: Current Advances in Biomedical Applications
by Matheus Valentin Maia, Eryvaldo Sócrates Tabosa do Egito, Anne Sapin-Minet, Daniel Bragança Viana, Ashok Kakkar and Daniel Crístian Ferreira Soares
Molecules 2025, 30(2), 328; https://doi.org/10.3390/molecules30020328 - 15 Jan 2025
Abstract
Fibroin, a protein extracted from silk, offers advantageous properties such as non-immunogenicity, biocompatibility, and ease of surface modification, which have been widely utilized for a variety of biomedical applications. However, in vivo studies have revealed critical challenges, including rapid enzymatic degradation and limited [...] Read more.
Fibroin, a protein extracted from silk, offers advantageous properties such as non-immunogenicity, biocompatibility, and ease of surface modification, which have been widely utilized for a variety of biomedical applications. However, in vivo studies have revealed critical challenges, including rapid enzymatic degradation and limited stability. To widen the scope of this natural biomacromolecule, the grafting of polymers onto the protein surface has been advanced as a platform to enhance protein stability and develop smart conjugates. This review article brings into focus applications of fibroin-hybrid systems prepared using chemical modification of the protein with polymers and inorganic compounds. A selection of recent preclinical evaluations of these hybrids is included to highlight the significance of this approach. Full article
(This article belongs to the Special Issue Featured Reviews in Nanochemistry)
Show Figures

Figure 1

Figure 1
<p>Publications search analysis based on the Scopus<sup>®</sup> database records using the keywords: fibroin nanoparticles (<b>A</b>) and fibroin hybrid (<b>B</b>).</p>
Full article ">Figure 2
<p>Schematic representation of fibroin-based hybrid systems with emphasis on two main categories: polymer- and inorganic-hybrid systems. Key applications include tissue engineering, drug delivery, and gene therapy, with challenges such as enzymatic degradation and limited stability.</p>
Full article ">Figure 3
<p>General procedure for fibroin isolation. The raw silk cocoons are boiled in a solution of sodium carbonate to remove sericin (S<sub>1</sub>), and the silk fibers are dissolved in a highly concentrated solution, such as lithium bromide or Ajisawa’s reagent, to break down the fibers into a fibroin solution (S<sub>2</sub>). The fibroin solution is dialyzed against distilled water to remove the solvent and any other small molecules (S<sub>3</sub>), resulting in a purified fibroin solution, and at the end of the process, the solution is centrifuged (S<sub>4</sub>) to remove any remaining impurities.</p>
Full article ">Figure 4
<p>Scheme for the synthesis of fibroin-polyaniline (PAni) hybrid. Reproduced and adapted with permission from [<a href="#B82-molecules-30-00328" class="html-bibr">82</a>].</p>
Full article ">Figure 5
<p>Cell viability (%) of NIH/3T3 fibroblast cells after exposure to various concentrations of Fib-g-PAni (1:05 and 1:1 mass ratios), Fib-NH₂, and polyaniline (PAni). The results demonstrate dose-dependent cytotoxicity, with Fib-g-PAni showing higher cell viability compared to pure PAni at similar concentrations, indicating improved biocompatibility due to the incorporation of fibroin. Reproduced and adapted with permission from [<a href="#B82-molecules-30-00328" class="html-bibr">82</a>].</p>
Full article ">Figure 6
<p>Preclinical evaluation of different therapeutic systems applied to control three main phenotypic psoriatic activities (erythema, thickness, and scaling) in an imiquimod-induced psoriatic mouse model. Different treatment and control groups were constituted as follows: Group 1 (Normal untreated mice); Group 2 (IMQ-induced psoriatic mice); Group 3 (Blank NPs-gel treatment); Group 4 (CUR-gel treatment); Group 5 (CUR-NPs-gel treatment); Group 6 (Clobetasol treatment as the positive control group). (<b>A</b>) Representative images of skin conditions: Normal skin, IMQ-induced psoriatic skin, and skin after treatment with various formulations. (<b>B</b>) PASI scoring of psoriatic skin over 10 days of treatment: (<b>a</b>) Erythema scores comparing control, normal, CUR-gel, CUR-NPs-gel, and clobetasol treatments; (<b>b</b>) Thickness scores for the same treatment groups; (<b>c</b>) Scaling scores across treatment groups. Data are expressed as Mean ± SD (n = 12) Reproduced with permission [<a href="#B89-molecules-30-00328" class="html-bibr">89</a>].</p>
Full article ">Figure 7
<p>Scheme for the synthesis of the hybrid system. (<b>A</b>) Phosmer M reacts with silk fibroin, with tyrosine serving as the preferential reaction site; (<b>B</b>) grafting of a Phosmer M molecule onto the tyrosine side chain of silk fibroin; (<b>C</b>) and (<b>D</b>) subsequent polymerization. Reproduced and adapted with permission from supplementary material in [<a href="#B85-molecules-30-00328" class="html-bibr">85</a>].</p>
Full article ">Figure 8
<p>Octreotide concentration profile in rat plasma after intramuscular injection. (<b>a</b>) elevated dose group (8 mg/kg), (<b>b</b>) reduced dose group (2 mg/kg), (<b>c</b>) blank octreotide group at reduced dose. Reproduced with permission [<a href="#B99-molecules-30-00328" class="html-bibr">99</a>].</p>
Full article ">Figure 9
<p>Assessment of wound healing: (<b>A</b>) Illustrative images of the wound area versus various gel groups and (<b>B</b>) calculated remaining wound area for different groups on days 0, 7, and 14, respectively (n = 4) (* <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001). Reproduced with permission [<a href="#B107-molecules-30-00328" class="html-bibr">107</a>].</p>
Full article ">
34 pages, 11678 KiB  
Review
Recent Advances in the Performance and Mechanisms of High-Entropy Alloys Under Low- and High-Temperature Conditions
by Rui Xi and Yanzhou Li
Coatings 2025, 15(1), 92; https://doi.org/10.3390/coatings15010092 - 15 Jan 2025
Abstract
High-entropy alloys, since their development, have demonstrated great potential for applications in extreme temperatures. This article reviews recent progress in their mechanical performance, microstructural evolution, and deformation mechanisms at low and high temperatures. Under low-temperature conditions, the focus is on alloys with face-centered [...] Read more.
High-entropy alloys, since their development, have demonstrated great potential for applications in extreme temperatures. This article reviews recent progress in their mechanical performance, microstructural evolution, and deformation mechanisms at low and high temperatures. Under low-temperature conditions, the focus is on alloys with face-centered cubic, body-centered cubic, and multi-phase structures. Special attention is given to their strength, toughness, strain-hardening capacity, and plastic-toughening mechanisms in cold environments. The key roles of lattice distortion, nanoscale twin formation, and deformation-induced martensitic transformation in enhancing low-temperature performance are highlighted. Dynamic mechanical behavior, microstructural evolution, and deformation characteristics at various strain rates under cold conditions are also summarized. Research progress on transition metal-based and refractory high-entropy alloys is reviewed for high-temperature environments, emphasizing their thermal stability, oxidation resistance, and frictional properties. The discussion reveals the importance of precipitation strengthening and multi-phase microstructure design in improving high-temperature strength and elasticity. Advanced fabrication methods, including additive manufacturing and high-pressure torsion, are examined to optimize microstructures and improve service performance. Finally, this review suggests that future research should focus on understanding low-temperature toughening mechanisms and enhancing high-temperature creep resistance. Further work on cost-effective alloy design, dynamic mechanical behavior exploration, and innovative fabrication methods will be essential. These efforts will help meet engineering demands in extreme environments. Full article
37 pages, 3390 KiB  
Article
An Enhanced Second-Order Terminal Sliding Mode Control Based on the Super-Twisting Algorithm Applied to a Five-Phase Permanent Magnet Synchronous Generator for a Grid-Connected Wind Energy Conversion System
by Ben ouadeh Douara, Abdellah Kouzou, Ahmed Hafaifa, Jose Rodriguez and Mohamed Abdelrahem
Energies 2025, 18(2), 355; https://doi.org/10.3390/en18020355 - 15 Jan 2025
Abstract
This paper presents the application of a proposed hybrid control strategy that is designed to enhance the performance and robustness of a grid-connected wind energy conversion system (WECS) using a Five-Phase Permanent Magnet Synchronous Generator (FP-PMSG). The proposed approach combines the second-order terminal [...] Read more.
This paper presents the application of a proposed hybrid control strategy that is designed to enhance the performance and robustness of a grid-connected wind energy conversion system (WECS) using a Five-Phase Permanent Magnet Synchronous Generator (FP-PMSG). The proposed approach combines the second-order terminal sliding mode control technique (SO-STA) with the super-twisting algorithm (STA), with the main goal of benefitting from both their advantages while addressing their limitations. Indeed, the sole application of the SO-STA ensures rapid convergence and robust performances in nonlinear systems, but it leads to chattering and reduces the whole system’s efficiency. Therefore, by incorporating the STA, the obtained hybrid control can mitigate this issue by ensuring smoother control actions and a superior dynamic response. This designed hybrid control strategy improves the adaptability of the control system to wind fluctuations and enhances the system’s robustness against external disturbances and uncertainties, leading to higher reliability and efficiency in the wind energy conversion system. Furthermore, the proposed hybrid control allows optimizing the power extraction and boosting the WECS’s efficiency. It is worth clarifying that, besides this proposed control, a sliding mode controller is used for the grid side converter (GSC) and DC link voltage to ensure stable power transfer to the grid. The obtained simulation results demonstrate the effectiveness of the proposed strategy in improving the stability, robustness, and efficiency of the studied WECS under dynamic conditions, creating a promising solution for control in renewable energy systems operating under severe conditions. Full article
(This article belongs to the Special Issue Advances in Wind Turbines)
Back to TopTop