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19 pages, 317 KiB  
Article
Sustainable Energy Development and Agriculture in European Union Member States—Territorial Differentiation and Interrelationships
by Joanna Wyrwa, Anetta Barska and Janina Jędrzejczak-Gas
Energies 2025, 18(1), 25; https://doi.org/10.3390/en18010025 (registering DOI) - 25 Dec 2024
Abstract
Energy is regarded as a crucial facilitator of social and economic advancement, and, consequently, sustainable development. The concept of sustainable energy development has evolved to become a significant political objective addressed by governments worldwide. All sectors of the economy, including agriculture, require stimulation, [...] Read more.
Energy is regarded as a crucial facilitator of social and economic advancement, and, consequently, sustainable development. The concept of sustainable energy development has evolved to become a significant political objective addressed by governments worldwide. All sectors of the economy, including agriculture, require stimulation, which should be triggered by linkages and structural changes contributing to qualitative and quantitative progress. Agriculture has a substantial impact on the environmental footprint, playing a pivotal role in causing climate change. The objective of this article is to address the research gap concerning the monitoring of sustainable development in the energy and agricultural sectors within the European Union. The assessment of sustainability is a complex process since it is a multidisciplinary field of study with practical implications. The progress of sustainable development in the energy and agricultural sectors was evaluated through a comprehensive analysis of relevant literature and statistical data obtained from the Eurostat database and the Research Institute of Organic Agriculture FiBL. The analysis encompasses the period between 2015 and 2022. The article employs the taxonomic method, specifically the linear ordering method (standardised sum method), which enables the construction of a synthetic measure. This approach enabled the creation of rankings and comparisons between European Union countries. The studies show that in the European Union, sustainable energy development and sustainable agriculture show significant territorial differentiation. The sustainable energy measures in the countries with the highest scores (Estonia, Sweden, Finland, Austria) were 2–3 times higher than in the countries with the lowest scores (Cyprus, Belgium, Greece, Bulgaria). A similar situation was observed for sustainable agriculture measures—the maximum measures (Estonia, Bulgaria, Slovakia, Lithuania) were about two times higher than the minimum measures (Poland, Malta, Slovenia, Luxembourg). The findings indicate that, on the one hand, there have been favourable developments at the national level in Europe, but also that there are a number of existing disparities, together with evidence of potentially significant deviations from the targets set out in the 2030 Agenda. Full article
(This article belongs to the Section A: Sustainable Energy)
18 pages, 6307 KiB  
Article
The Impacts of Urbanization on Carbon Emission Performance: New Evidence from the Yangtze River Delta Urban Agglomeration, China
by Wenyi Qiao, Yike Xie, Jun Liu and Xianjin Huang
Land 2025, 14(1), 12; https://doi.org/10.3390/land14010012 (registering DOI) - 25 Dec 2024
Abstract
Regarding the carbon emission performance of urbanization, the changes in carbon emissions and carbon sinks have attracted particular attention, while the internal impact mechanism has been under-researched. Conventionally, urbanization has either improved or hindered carbon performance. However, this is not always the case [...] Read more.
Regarding the carbon emission performance of urbanization, the changes in carbon emissions and carbon sinks have attracted particular attention, while the internal impact mechanism has been under-researched. Conventionally, urbanization has either improved or hindered carbon performance. However, this is not always the case as the paths of urbanization affecting carbon emission performance are diverse. Hence, this paper proposes a theoretical framework to investigate how urbanization influences carbon emission performance, specifically the indirect effects of land development/land-use efficiency, by taking the Yangtze River Delta urban agglomeration, China, as a study case. Empirical results show that urbanization improves carbon emission performance due to the agglomeration effect. As an intermediary pathway, land-use change has a two-sided impact on carbon emission performance. Urbanization can both worsen and improve carbon emission performance through increasing land-development intensity and promoting land-use efficiency, respectively. However, the positive impact of land-use efficiency can alleviate the problem of increasing carbon emissions caused by land over-development. Hence, the integration of urban planning strategies with land use management policies can help to achieve sustainable urbanization. Full article
(This article belongs to the Section Land Systems and Global Change)
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<p>Theoretical framework.</p>
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<p>Study area.</p>
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<p>Spatial distribution of UL in 2000 and 2020.</p>
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<p>Spatial distribution of CP in 2000 and 2020.</p>
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12 pages, 1319 KiB  
Protocol
Study Protocol for a Prospective, Unicentric, Double-Blind, Randomized, and Placebo-Controlled Trial on the Efficacy of a Low-Histamine Diet and DAO Enzyme Supplementation in Patients with Histamine Intolerance
by Adriana Duelo, Sònia Sánchez-Pérez, Ana María Ruiz-Leon, Francesc Casanovas-Garriga, Salvador Pellicer-Roca, Irache Iduriaga-Platero, Judit Costa-Catala, M. Teresa Veciana-Nogués, Joaquim Fernández-Solà, Rosa M. Muñoz-Cano, Joan Bartra, Andrea Combalia, Oriol Comas-Basté, Rosa Casas, M. Luz Latorre-Moratalla, Ramon Estruch and M. Carmen Vidal-Carou
Nutrients 2025, 17(1), 29; https://doi.org/10.3390/nu17010029 (registering DOI) - 25 Dec 2024
Abstract
Background/Objectives: Histamine intolerance is primarily caused by a deficiency in the diamine oxidase (DAO) enzyme at the intestinal level. The reduced histamine degradation in the gut leads to its accumulation in plasma, thereby causing multiple clinical manifestations, such as urticaria, diarrhea, headache, dyspnea, [...] Read more.
Background/Objectives: Histamine intolerance is primarily caused by a deficiency in the diamine oxidase (DAO) enzyme at the intestinal level. The reduced histamine degradation in the gut leads to its accumulation in plasma, thereby causing multiple clinical manifestations, such as urticaria, diarrhea, headache, dyspnea, or tachycardia, among others. The dietary management of this food intolerance consists of the follow-up of a low-histamine diet, often combined with DAO supplementation. To date, around twenty studies have investigated the effectiveness of these dietary strategies in reducing the frequency and/or intensity of symptoms, with promising results. However, the limitations of these studies (small patient cohort, lack of control group, and short dietary intervention periods) highlight the need for more ambitiously designed research. Therefore, the main objective of this prospective, unicentric, double-blind, randomized, and placebo-controlled trial is to evaluate the efficacy of a low-histamine diet and/or DAO supplementation over a three-month period in improving symptoms of histamine intolerance. Additionally, the impacts of these dietary strategies on the intestinal microbiota composition, urinary profile of histamine metabolites, serum DAO activity, and plasma histamine levels will be assessed throughout the intervention. Methods: The trial will enroll 400 patients who will be randomly assigned to one of two groups: the intervention group, which will follow a low-histamine diet, or the control group, which will maintain their habitual dietary habits. Within each of these groups, participants will be further divided into four subgroups to receive either exogenous DAO enzyme supplementation (from porcine or plant sources, with the latter administered at two different dosages) or a placebo. Therefore, a total of eight distinct intervention groups will be considered. The comparison of these groups will allow the evaluation of the individual effects of the low-histamine diet or DAO enzyme supplementation, as well as their possible synergistic effect. Results: The results of this study should help to improve dietary recommendations for histamine-intolerant patients and ultimately enhance their quality of life. Full article
(This article belongs to the Section Nutritional Immunology)
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<p>Main symptoms of histamine intolerance and the corresponding histamine receptors [<a href="#B1-nutrients-17-00029" class="html-bibr">1</a>,<a href="#B4-nutrients-17-00029" class="html-bibr">4</a>,<a href="#B9-nutrients-17-00029" class="html-bibr">9</a>].</p>
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<p>Schematic representation of the study design.</p>
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14 pages, 4808 KiB  
Article
From Crop Residue to Corrugated Core Sandwich Panels as a Building Material
by Aadarsha Lamichhane, Arun Kuttoor Vasudevan, Mostafa Mohammadabadi, Kevin Ragon, Jason Street and Roy Daniel Seale
Materials 2025, 18(1), 31; https://doi.org/10.3390/ma18010031 (registering DOI) - 25 Dec 2024
Abstract
This study explores the potential of using underutilized materials from agricultural and forestry systems, such as rice husk, wheat straw, and wood strands, in developing corrugated core sandwich panels as a structural building material. By leveraging the unique properties of these biobased materials [...] Read more.
This study explores the potential of using underutilized materials from agricultural and forestry systems, such as rice husk, wheat straw, and wood strands, in developing corrugated core sandwich panels as a structural building material. By leveraging the unique properties of these biobased materials within a corrugated geometry, the research presents a novel approach to enhancing the structural performance of such underutilized biobased materials. These biobased materials were used in different lengths to consider the manufacturing feasibility of corrugated panels and the effect of fiber length on their structural performance. The average lengths for wood strands and wheat straws were 12–15 cm and 3–7.5 cm, respectively, while rice husks were like particles, about 7 mm long. Due to the high silica content in rice husk and wheat straw, which negatively impacts the bonding performance, polymeric diphenylmethane diisocyanate (pMDI), an effective adhesive for such materials, was used for the fabrication of corrugated panels. Wood strands and phenol formaldehyde (PF) adhesive were used to fabricate flat outer layers. Flat panels were bonded to both sides of the corrugated panels using a polyurethane adhesive to develop corrugated core sandwich panels. Four-point bending tests were conducted to evaluate the panel’s bending stiffness, load-carrying capacity, and failure modes. Results demonstrated that sandwich panels with wood strand corrugated cores exhibited the highest bending stiffness and load-bearing capacity, while those with wheat straw corrugated cores performed similarly. Rice husk corrugated core sandwich panels showed the lowest mechanical performance compared to other sandwich panels. Considering the applications of these sandwich panels as floor, wall, and roof sheathing, all these panels exhibited superior bending performance compared to 11.2 mm- and 17.42 mm-thick commercial OSB (oriented strand board) panels, which are commonly used as building materials. These sandwich structures supported a longer span than commercial OSB panels while satisfying the deflection limit of L/360. The findings suggest the transformative potential of converting renewable yet underutilized materials into an engineered concept, corrugated geometry, leading to the development of high-performance, carbon-negative building materials suitable for flooring and roof applications. Full article
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Figure 1
<p>Rice husk, wheat straws, and wood strands with different fiber lengths.</p>
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<p>(<b>a</b>) Strand orientation for wood panels (<b>b</b>) rice husk, (<b>c</b>) wheat straw, and (<b>d</b>) wood strand corrugated panels.</p>
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<p>Sandwich panels fabricated from (<b>a</b>) wheat straw, (<b>b</b>) rice husk, and (<b>c</b>) wood strand corrugated cores and flat wood strand outer layers.</p>
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<p>Flowchart summarizing the fabrication and testing processes of corrugated panels.</p>
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<p>Bending stiffness for short and long span panels made up of rice husk, wheat straw, wood strands, and OSB panels of different thicknesses.</p>
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<p>Maximum normal stress for agricultural wastes and wood strands as well as types of failure where C, B, and S stands for crushing, bending, and shear failure, respectively.</p>
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<p>Comparison of equivalent distributed load and bending stiffness for short- and long-span specimens.</p>
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<p>Failure modes for 17.42 mm (0.75-inch)-thick OSB and corrugated core sandwich panels: (<b>a</b>,<b>b</b>) Simple bending failure for wood strand corrugated sandwich panels and 17.42-mm-(0.75-inch) thick OSB. (<b>c</b>) Wheat straw corrugated core panel with delamination within corrugated core. (<b>d</b>) Rice husk corrugated core panel with crushing failure along the core.</p>
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<p>Distributed load for different span lengths under specific deflection limits of L/240 and L/360.</p>
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17 pages, 3794 KiB  
Article
Exploring the Impact of Pharmaceutical Excipient PEG400 on the Pharmacokinetics of Mycophenolic Acid Through In Vitro and In Vivo Experiments
by Chaoji Li, Min Zhang, Yanni Zhao, Dan Yang, Mei Zhao, Leyuan Shang, Xiaodong Sun, Shuo Zhang, Pengjiao Wang and Xiuli Gao
Int. J. Mol. Sci. 2025, 26(1), 72; https://doi.org/10.3390/ijms26010072 (registering DOI) - 25 Dec 2024
Abstract
Mycophenolic acid (MPA) is a commonly used immunosuppressant. In the human body, MPA is metabolized into mycophenolic acid 7-O-glucuronide (MPAG) and mycophenolic acid acyl-glucuronide (AcMPAG) mainly through liver glucuronidation, which involves UDP-glucuronosyltransferase (UGTs) and transfer proteins. Research has indicated that the pharmaceutical excipient [...] Read more.
Mycophenolic acid (MPA) is a commonly used immunosuppressant. In the human body, MPA is metabolized into mycophenolic acid 7-O-glucuronide (MPAG) and mycophenolic acid acyl-glucuronide (AcMPAG) mainly through liver glucuronidation, which involves UDP-glucuronosyltransferase (UGTs) and transfer proteins. Research has indicated that the pharmaceutical excipient PEG400 can impact drug processes in the body, potentially affecting the pharmacokinetics of MPA. Due to the narrow therapeutic window of MPA, combination therapy is often used, and PEG400 is widely used in pharmaceutical preparations. Therefore, investigating the pharmacokinetic influence of PEG400 on MPA could offer valuable insights for optimizing MPA’s clinical use. In this study, we examined the impact of a single oral dose of PEG400 on the blood levels of MPA in rats through pharmacokinetic analysis. We also investigated the distribution of MPA in various tissues using mass spectrometry imaging. We explored the potential mechanism by which PEG400 affects the metabolism of MPA using hepatic and intestinal microsomes and the Caco-2 cellular transporter model. Our findings reveal that the overall plasma concentrations of MPA were elevated in rats following the co-administration of PEG400, with the AUC0-t of MPA and its metabolite MPAG increasing by 45.53% and 29.44%, respectively. Mass spectrometry imaging showed increased MPA content in tissues after PEG400 administration, with significant differences in the metabolites observed across different tissues. Microsomal and transport experiments showed that PEG400 accelerated the metabolism of MPA, promoted the uptake of MPA, and inhibited efflux. In conclusion, PEG400 alters the in vivo metabolism of MPA, potentially through the modulation of metabolic enzymes and transport. Full article
(This article belongs to the Section Molecular Pharmacology)
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<p>Structural diagram of the metabolism of MMF (mycophenolate mofetil), MPA (mycophenolic acid), MPAG (mycophenolic acid 7-O-glucuronide), and AcMPAG (mycophenolic acid acyl glucuronide).</p>
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<p>Comparison of MPA blood concentrations in the presence and absence of PEG400. (<b>A</b>) Blood concentration–time curve of MPA, (<b>B</b>) blood concentration–time curve of MPAG, (<b>C</b>) AUC of MPA and MPAG. * <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; **** <span class="html-italic">p</span> &lt; 0.0001, <span class="html-italic">n</span> = 6.</p>
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<p>Spatial mass spectrometry imaging results. (<b>A</b>) Distribution and intensity results of MPA in the liver, kidney, heart, and spleen. (<b>B</b>) Distribution and intensity results of metabolites of MPA in the liver, kidney, heart, and spleen (In the liver, kidney and heart the control group on the left and the PEG400 group on the right, in the spleen the control group on the upper side and the PEG400 group on the lower side). * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01, <span class="html-italic">n</span> = 3.</p>
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<p>Relationship between incubation time and MPAG and AcMPAG concentrations. (<b>A</b>) MPAG concentration over time; (<b>B</b>) AcMPAG concentration over time.</p>
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<p>Effects of PEG400 on metabolic enzymes (UGTs) in microsomes. Changes in (<b>A</b>) MPAG and (<b>B</b>) AcMPAG concentrations after incubation of MPA (10, 20, 40 μM) with different concentrations of PEG400 (0, 2, 4, 8 μM) in liver microsomes. Changes in (<b>C</b>) MPAG and (<b>D</b>) AcMPAG concentrations after incubation of MPA (10, 20, 40 μM) with different concentrations of PEG400 (0, 2, 4, 8 μM) in intestinal microsomes. * <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; **** <span class="html-italic">p</span> &lt; 0.0001, <span class="html-italic">n</span> = 3.</p>
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<p>Cell viability. (<b>A</b>) Effects of different concentrations of MPA on Caco-2 cell survival; (<b>B</b>) Effects of different concentrations of PEG400 on Caco-2 cell survival. ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001. Means ± standard deviations, <span class="html-italic">n</span> = 5.</p>
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<p>Results of MPA transport by PEG400 in the Caco-2 monolayer epithelial cell model. (<b>A</b>) Apparent permeability coefficient Papp values of MPA (40 µM) transport in the Caco-2 cell monolayer model. (<b>B</b>) Effects of PEG400 on ER of MPA (40 µM) in Caco-2 cells. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01. Means ± standard deviations, <span class="html-italic">n</span> = 3.</p>
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<p>Experimental mechanism diagram. Following oral administration of MMF, MMF is hydrolysed in the gastrointestinal tract to MPA, which is then absorbed into the bloodstream in the intestines.MPA passes through the circulation to the liver, where it is metabolised by the enzyme UGT to MPAG and AcMPAG.A significant amount of MPAG is excreted into the bile, where it is converted by intestinal flora to MPA and reabsorbed into the bloodstream.PEG400 transport affects UGT and transporter proteins, thereby altering the pharmacokinetics of MPA. The transport of PEG400 affects UGT and transporter proteins, thereby altering the pharmacokinetics of MPA.</p>
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32 pages, 8520 KiB  
Article
Spatial–Temporal Variation and Driving Forces of Carbon Storage at the County Scale in China Based on a Gray Multi-Objective Optimization–Patch-Level Land Use Simulation–Integrated Valuation of Ecosystem Services and Tradeoffs–Optimal Parameter-Based Geographical Detector Model: Taking the Daiyun Mountain’s Rim as an Example
by Gui Chen, Qingxia Peng, Qiaohong Fan, Wenxiong Lin and Kai Su
Land 2025, 14(1), 14; https://doi.org/10.3390/land14010014 (registering DOI) - 25 Dec 2024
Abstract
Exploring and predicting the spatiotemporal evolution characteristics and driving forces of carbon storage in typical mountain forest ecosystems under land-use changes is crucial for curbing the effects of climate change and fostering sustainable, eco-friendly growth. The existing literature provides important references for our [...] Read more.
Exploring and predicting the spatiotemporal evolution characteristics and driving forces of carbon storage in typical mountain forest ecosystems under land-use changes is crucial for curbing the effects of climate change and fostering sustainable, eco-friendly growth. The existing literature provides important references for our related studies but further expansion and improvements are needed in some aspects. This study first proposed an integrated framework comprising gray multi-objective optimization (GMOP), Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST), the Patch-level Land Use Simulation Model (PLUS), and optimal parameter-based geographical detector (OPGD) models to further expand and improve on existing research. Then, the integrated model was used to analyze the spatial–temporal variation in land-use pattern and carbon storage at the county scale in China’s Daiyun Mountain’s Rim under four scenarios in 2032, and analyze the driving force of spatial differentiation of carbon storage. The results indicated that (1) land-use change primarily involves the mutual transfer among forest, cultivated, and construction land, with approximately 7.2% of the land-use type area undergoing a transition; (2) in 2032, the natural development scenario projects a significant reduction in forest land and an expansion of cultivated, shrub, and construction lands. Conversely, the economic priority, ecological priority, and economic–ecological coordinated scenarios all anticipate a decline in cultivated land area; (3) in 2032, the natural development scenario will see a 2.8 Tg drop in carbon stock compared to 2022. In contrast, the economic priority, ecological priority, and economic–ecological coordinated scenarios are expected to increase carbon storage by 0.29 Tg, 2.62 Tg, and 1.65 Tg, respectively; (4) the spatial differentiation of carbon storage is jointly influenced by various factors, with the annual mean temperature, night light index, elevation, slope, and population density being the key influencing factors. In addition, the influence of natural factors on carbon storage is diminishing, whereas the impact of socioeconomic factors is on the rise. This study deepened, to a certain extent, the research on spatiotemporal dynamics simulation of carbon storage and its driving mechanisms under land-use changes in mountainous forest ecosystems. The results can serve to provide scientific support for carbon balance management and climate adaptation strategies at the county scale while also offering case studies that can inform similar regions around the world. However, several limitations remain, as follows: the singularity of carbon density data, and the research scope being confined to small-scale mountainous forest ecosystems. Future studies could consider collecting continuous annual soil carbon density data and employing land-use simulation models (such as PLUS or CLUMondo) appropriate to the study area’s dimensions. Full article
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<p>Overview of the Daiyun Mountain’s Rim.</p>
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<p>Spatial distribution characteristics of land-use types in the Daiyun Mountain’s Rim from 1992 to 2032: (<b>a</b>–<b>g</b>) represent the spatial distribution of land-use types in 1992, 1997, 2002, 2007, 2012, 2017, and 2022 in the Daiyun Mountain’s Rim, respectively; (<b>h</b>–<b>k</b>) represent the 2032 nature development scenario, 2032 economic priority development scenario, 2032 ecological priority development scenario, and 2032 coordinated economic and ecological development scenario in the Daiyun Mountain’s Rim, respectively.</p>
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<p>The spatial distribution pattern and change trend of carbon storage in the Daiyun Mountain’s Rim from 1992 to 2032.</p>
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<p>Spatial changes in land use in the Daiyun Mountain’s Rim from 1992 to 2022.</p>
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<p>Changes in land uses and carbon stocks in the Daiyun Mountain’s Rim from 1992 to 2022: (<b>a</b>) changes in land uses in the Daiyun Mountain’s Rim from 1992 to 2022; (<b>b</b>) changes in carbon stocks in the Daiyun Mountain’s Rim from 1992 to 2022.</p>
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<p>Impacts of major land type shifts on carbon stocks in different counties of the Daiyun Mountain’s Rim.</p>
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<p>Distributional differentiation of carbon stocks in multi-dimensional topographic environments: (<b>a</b>) carbon storage changes at different elevations; (<b>b</b>) carbon storage changes across slope gradients; (<b>c</b>) carbon storage changes across topographic wetness index categories; (<b>d</b>) average carbon storage changes at different elevations; (<b>e</b>) average carbon storage changes across slope gradients; (<b>f</b>) average carbon storage changes across topographic wetness index categories.</p>
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<p>Results of the interactive detection of carbon stock drivers in the Daiyun Mountain’s Rim from 1992 to 2002: (<b>a</b>–<b>g</b>) represent the results of the interactive detection of carbon stock drivers in 1992, 1997, 2002, 2007, 2012, 2017, and 2022 in the Daiyun Mountain’s Rim, respectively, and the legend is below figure (<b>g</b>); (<b>h</b>) represent the value changes in the Daiyun Mountain’s Rim from 1992 to 2022, and the legend is below figure (<b>h</b>).</p>
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15 pages, 4750 KiB  
Article
Characterization and Optimization of Boride Coatings on AISI 1137 Steel: Enhancing Surface Properties and Wear Resistance
by Asım Genç, Levent Urtekin and Merdin Danişmaz
Coatings 2025, 15(1), 10; https://doi.org/10.3390/coatings15010010 (registering DOI) - 25 Dec 2024
Abstract
This study investigates the optimization of boron coating parameters for medium-carbon steels, specifically AISI 1137, and their subsequent effects on mechanical properties, which are crucial for industrial applications. Despite extensive research on boronizing processes, an understanding of the optimal conditions that enhance wear [...] Read more.
This study investigates the optimization of boron coating parameters for medium-carbon steels, specifically AISI 1137, and their subsequent effects on mechanical properties, which are crucial for industrial applications. Despite extensive research on boronizing processes, an understanding of the optimal conditions that enhance wear resistance and hardness while maintaining structural integrity is still lacking. To address this gap, we systematically examined the impact of boronizing temperatures (850 °C and 950 °C) and durations (2, 4, and 8 h) on the structural and mechanical properties of AISI 1137 steel. Our findings indicate the need for improved surface properties in medium-carbon steels used in demanding environments, such as automotive and machinery components. The boronizing process was carried out using Ekabor 1 powder, with characterization performed through optical microscopy, pin-on-disk wear tests, and Vickers hardness analysis. Results showed that the thickness of the boronized layer ranged from 50.6 μm to 64.8 μm, with wear resistance increasing by 1.8 to 3.9 times at 950 °C compared to at 850 °C. The measured hardness of the boronized surface layers varied between 1963.7 HV and 219.3 HV, decreasing from the boronized layer toward the base material. The optimal parameters for wear resistance and hardness were found to be a temperature of 950 °C and a duration of 8 h, facilitating the formation of FeB and Fe2B phases, which significantly enhanced the steel’s mechanical properties. This research provides valuable insights into the boronizing process and establishes a foundation for the optimizing of surface treatments to extend the lifespan and performance of medium-carbon steels in industrial use. Full article
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<p>Wear rates of boronized AISI 1137 steels: (<b>a</b>) 850 °C; (<b>b</b>) 950 °C.</p>
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<p>Optical images of boronized layers: (<b>a</b>) 2 h—850 °C; (<b>b</b>) 4 h—850 °C; (<b>c</b>) 8 h—850 °C; (<b>d</b>) 2 h—950 °C; (<b>e</b>) 4 h—950 °C; (<b>f</b>) 8 h—950 °C.</p>
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<p>Variation in surface hardness of boronized layers at different temperatures and times.</p>
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<p>Taguchi analysis: boronizing layer thickness (µm) versus boronizing temperature and boronizing time (h).</p>
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<p>Taguchi analysis: wear rate (mg) versus boronizing temperature and boronizing time (h).</p>
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<p>Taguchi analysis: hardness (HV) versus boronizing temperature and boronizing time (h).</p>
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18 pages, 10827 KiB  
Article
Statistical Analysis of Cutting Force and Vibration in Turning X5CrNi18-10 Steel
by Csaba Felhő and Tanuj Namboodri
Appl. Sci. 2025, 15(1), 54; https://doi.org/10.3390/app15010054 (registering DOI) - 25 Dec 2024
Abstract
X5CrNi18-10 is a corrosion-resistant steel that has become popular in the automotive, marine, food, nuclear, and other industries. Chromium alloyed in the X5CrNi18-10 increases the material’s toughness, which influences the cutting phenomena such as the cutting force and vibration. It is necessary to [...] Read more.
X5CrNi18-10 is a corrosion-resistant steel that has become popular in the automotive, marine, food, nuclear, and other industries. Chromium alloyed in the X5CrNi18-10 increases the material’s toughness, which influences the cutting phenomena such as the cutting force and vibration. It is necessary to investigate the effect of the machining parameters on the X5CrNi18-10 turning, particularly the feed, which has significant effects on the cutting phenomena. The objective of this research is to investigate the correlation between the feed and cutting phenomena to improve the product quality, reduce machining disruptions, and optimize the parameters for a low cutting speed and vibration. Statistical analysis has shown promise in identifying the impact of variables using correlation analysis and estimated marginal means plots. This study highlights the findings of the Pearson’s correlation analysis between the feed, active cutting force, and active vibration as well as the estimated marginal means plots between the machining parameters and cutting phenomena. The results indicate that there is a strong correlation between the feed and active cutting force with a coefficient of correlation of 0.688, as well as the feed and active vibration with a coefficient of correlation of 0.697. The estimated marginal means plots indicate that as the cutting speed increases, the value of the active vibration and the active force decreases. Full article
(This article belongs to the Special Issue Machine Tools, Advanced Manufacturing and Precision Manufacturing)
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<p>Direction of forces in the turning operation.</p>
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<p>Drawing of workpiece specimen.</p>
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<p>(<b>a</b>) Tool description; (<b>b</b>) insert specification [<a href="#B29-applsci-15-00054" class="html-bibr">29</a>].</p>
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<p>(<b>a</b>) HAAS ST-20 Y CNC machine; (<b>b</b>) electronic setup; (<b>c</b>) real-time monitoring vibration and cutting forces.</p>
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<p>(<b>a</b>) Experimental setup. (<b>b</b>) Vibration sensor and dynamometer setup.</p>
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<p>The magnitude of active vibration with time for each experiment.</p>
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<p>Magnitude of active force with time for each experiment with changes in machining parameters.</p>
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<p>The standard deviation of active cutting force magnitude and active vibration magnitude.</p>
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<p>Linear regression line graph between feed rate and active force RMS.</p>
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<p>Linear regression line graph between feed rate and active vibration RMS.</p>
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<p>Main effect plot between AV<sub>b</sub> RMS and machining parameters, (<b>a</b>) feed and AV<sub>b</sub>, (<b>b</b>) depth of cut and AV<sub>b</sub>, and (<b>c</b>) cutting speed and AV<sub>b</sub>.</p>
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<p>Main effect plot between AF RMS and machining parameters, (<b>a</b>) feed and AF, (<b>b</b>) depth of cut and AF, and (<b>c</b>) cutting speed and AF.</p>
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27 pages, 4088 KiB  
Review
Bioremediation of Soil Contamination with Polycyclic Aromatic Hydrocarbons—A Review
by Carmen Otilia Rusănescu, Irina Aura Istrate, Andrei Marian Rusănescu and Gabriel Alexandru Constantin
Land 2025, 14(1), 10; https://doi.org/10.3390/land14010010 (registering DOI) - 25 Dec 2024
Abstract
Polycyclic aromatic hydrocarbons (PAHs) are considered hazardous pollutants due to their negative impact on the environment and human health. PAHs can accumulate and be retained in the soil, so PAH pollution is a worldwide problem. This review paper highlights the sources of PAH [...] Read more.
Polycyclic aromatic hydrocarbons (PAHs) are considered hazardous pollutants due to their negative impact on the environment and human health. PAHs can accumulate and be retained in the soil, so PAH pollution is a worldwide problem. This review paper highlights the sources of PAH soil pollution, factors affecting the bioavailability of PAHs in soil, and soil bioremediation methods, as well as the advantages and limitations of the application of these methods. Aspects regarding the impact of the application of surfactants are presented in order to obtain good bioavailability during PAH bioremediation. Bioremediation techniques of soil polluted by these hydrocarbons are addressed: phytoremediation, rhizoremediation, composting, vermiremediation, micoremediation, and electrokinetic bioremediation of PAH-polluted soils. A comprehensive overview of bioremediation technologies for PAH-polluted soils is needed so that the right soil remediation technology is chosen. It has been observed the bioremediation of contaminated soils through rhizoremediation proved to be an effective process, the future of organic pollutants in interaction with plants and microbes must be researched. Vermiremediation, electrokinetic bioremediation, and microcomposting are effective processes for treating soils in situ. Phytoremediation is a sustainable and ecological method of PAH depollution. It improves soil fertility by releasing different organic matter in the soil, and it can be applied on a large scale. Full article
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<p>Sources of PAH soil pollution (adapted from [<a href="#B3-land-14-00010" class="html-bibr">3</a>]).</p>
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<p>Bacterial and fungal biodegradation pathways of PAHs (adapted from [<a href="#B35-land-14-00010" class="html-bibr">35</a>]).</p>
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<p>Electrokinetic bioremediation (adapted from [<a href="#B125-land-14-00010" class="html-bibr">125</a>]).</p>
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<p>Schematic representation of different phytoremediation techniques (adapted from [<a href="#B147-land-14-00010" class="html-bibr">147</a>]).</p>
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24 pages, 1930 KiB  
Article
The Impact of Rainfall on Water, Energy, Industry and Economic Growth—Based on Empirical Data from 29 Provinces in China
by Yuan Gao, Qiqi Xiao and Zhong Fang
Sustainability 2025, 17(1), 40; https://doi.org/10.3390/su17010040 (registering DOI) - 25 Dec 2024
Abstract
Sustainable urban development requires good interaction between water, energy, infrastructure and socio-economic areas. In the context of more frequent heavy rainfall and flooding events, managing the subsystems within the city in an integrated manner and realizing sustainable development have become popular research topics. [...] Read more.
Sustainable urban development requires good interaction between water, energy, infrastructure and socio-economic areas. In the context of more frequent heavy rainfall and flooding events, managing the subsystems within the city in an integrated manner and realizing sustainable development have become popular research topics. Based on the above analysis, this paper constructs a water, energy, industry and economic growth system. It also introduces rainfall as an exogenous variable into the model in order to simulate the process of interactions between subsystems within a city and achieve sustainable development. By measuring the dynamic changes and spatial distribution characteristics of the efficiency values of the total water–energy–industry and economic growth system and each subsystem in 29 provinces in China, the following conclusions are drawn: (1) Most of the provinces are in the situation of “high-efficiency–negative growth” or “low-efficiency–positive growth”, and the constraints for them to reach the state of “high efficiency–positive growth” are due to the water subsystem. (2) The low-efficiency provinces are mainly concentrated in the central region, and the spillover effect of the low-efficiency provinces on the neighboring regions is more notable than that of the high-efficiency provinces. (3) The addition of rainfall improves the total efficiency in most provinces, with the most obvious improvement in the efficiency of the water subsystem. (4) The efficiency value of the industry and economic growth subsystem is relatively less affected by the amount of rainfall, but excessive rainfall will also have a negative impact. Finally, relevant policy recommendations are made to inform the relevant government departments in formulating policies related to addressing climate change and achieving sustainable urban development. Full article
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<p>Frame diagram. * denotes that the indicator is synthesized by the entropy method.</p>
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<p>Dynamics of total efficiency values by province and city in 2018–2020.</p>
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<p>Dynamics of subsystem efficiency values by province and city in 2018–2020.</p>
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<p>Spatial Distribution of Total Efficiency Values by Province and City, 2018–2020.</p>
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<p>Comparative efficiency of subsystems: with and without exogenous conditions at different stages.</p>
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30 pages, 4063 KiB  
Article
Poor Employment Conditions and Immigrant Health in Europe
by Matthew D. Matsaganis, Maria Petraki and Dionysis Balourdos
Soc. Sci. 2025, 14(1), 2; https://doi.org/10.3390/socsci14010002 (registering DOI) - 25 Dec 2024
Abstract
Building on the extant literature and utilizing data from the EU-SILC and the EU-LFS surveys conducted between 2009 and 2023, we empirically investigate the impact of poor employment conditions—associated with insecure or precarious employment—on third-country nationals’ (TCNs’) self-perceived health status (SPH). The role [...] Read more.
Building on the extant literature and utilizing data from the EU-SILC and the EU-LFS surveys conducted between 2009 and 2023, we empirically investigate the impact of poor employment conditions—associated with insecure or precarious employment—on third-country nationals’ (TCNs’) self-perceived health status (SPH). The role of employment conditions in health is examined by employing indicators of temporary, part-time, and self-employment. Driven by theory and empirical analysis, we also investigate the effects of additional variables, including long-term unemployment. Finally, to probe differences across countries, we examine how the effects of employment conditions on TCNs’ health vary across institutional settings, namely across different types of welfare state. Descriptive statistics and regression analyses of panel data reveal that employment conditions affect immigrants’ SPH and surface significant differences across countries. The estimated country-specific effects point to statistical average differences between Germany and two groups of countries: one showing higher effects (i.e., Austria, Belgium, Denmark, Finland, and France) and another with lower effects (i.e., Greece, Ireland, Italy, and Spain). The welfare model adopted by different countries is a qualitative significant predictor of TCNs’ SPH. We conclude with a discussion of the implications of these findings for future research, but also policy initiatives to improve TCNs’ employment conditions and, consequently, their health and overall well-being. Full article
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<p>Share of third-country nationals in the total population for selected European countries and the EU, 2022–2023. (<span class="html-italic">Source</span>: Authors’ elaboration with data from Eurostat’s and the European Migration Network’s Annual Report on Migration and Asylum for 2023 and 2024.).</p>
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<p>Shares of third-country nationals (TCNs) and nationals (Ns) aged 20–64 reporting being in a bad or very bad state of health across the EU-27 for the years 2009, 2015, and 2023. (<span class="html-italic">Source</span>: Authors’ elaboration with data from Eurostat).</p>
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<p>Ratio of TCNs and nationals with bad or very bad self-perceived health in 2015 and 2023. (<span class="html-italic">Source</span>: Authors’ elaboration with data from Eurostat.).</p>
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<p>Ratio between the share of TCNs and Ns in bad or very bad state of self-perceived health for Greece, Spain, Italy, and Portugal in 2009, 2015, and 2023. (<span class="html-italic">Source</span>: Authors’ elaboration with data from Eurostat.).</p>
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<p>Distribution of immigrants by age group, 2022. (<span class="html-italic">Source</span>: Authors’ elaboration with data from Eurostat.).</p>
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<p>Elderly-to-youth ratio for third-county nationals (TCNs) and nationals (Ns) for selected European countries and the EU-27, 2023. (<span class="html-italic">Source</span>: Authors’ elaboration with data from Eurostat.).</p>
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<p>Share of part-time and temporary employment for TCNs aged 20–64. (<span class="html-italic">Note</span>: The data pertain to 18 countries for 2009–2023 and were procured from Eurostat. The red line is the trend line, blue points are country observations).</p>
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<p>Share of self-employed TCNs without employees and long-term unemployment (%) among TCNs aged 20–64 in 2009 versus 2023. (<span class="html-italic">Source</span>: Authors’ elaboration with data from Eurostat. The blue line is the trend line, blue points are country observations).</p>
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<p>TCNs by sex, 2023. (<span class="html-italic">Source</span>: Authors’ elaboration with data from Eurostat).</p>
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<p>Employment rate for country nationals (Ns) and third-country nationals (TCNs) by sex 2023. (<span class="html-italic">Source</span>: Authors’ elaboration with data from Eurostat.).</p>
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11 pages, 1653 KiB  
Article
Neurofilament Light Chain Levels in Serum and Cerebrospinal Fluid Do Not Correlate with Survival Times in Patients with Prion Disease
by Mika Shimamura, Kong Weijie, Toshiaki Nonaka, Koki Kosami, Ryusuke Ae, Koji Fujita, Taiki Matsubayashi, Tadashi Tsukamoto, Nobuo Sanjo and Katsuya Satoh
Biomolecules 2025, 15(1), 8; https://doi.org/10.3390/biom15010008 (registering DOI) - 25 Dec 2024
Abstract
Prion diseases, including Creutzfeldt–Jakob disease (CJD), are deadly neurodegenerative disorders characterized by the buildup of abnormal prion proteins in the brain. This accumulation disrupts neuronal functions, leading to the rapid onset of psychiatric symptoms, ataxia, and cognitive decline. The urgency of timely diagnosis [...] Read more.
Prion diseases, including Creutzfeldt–Jakob disease (CJD), are deadly neurodegenerative disorders characterized by the buildup of abnormal prion proteins in the brain. This accumulation disrupts neuronal functions, leading to the rapid onset of psychiatric symptoms, ataxia, and cognitive decline. The urgency of timely diagnosis for effective treatment necessitates the identification of strongly correlated biomarkers in bodily fluids, which makes our research crucial. In this study, we employed a fully automated multiplex ELISA (Ella®) to measure the concentrations of 14-3-3 protein, total tau protein, and neurofilament light chain (NF-L) in cerebrospinal fluid (CSF) and serum samples from patients with prion disease and analyzed their link to disease prognosis. However, in North American and European cases, we did not confirm a correlation between NF-L levels and survival time. This discrepancy is believed to stem from differences in treatment policies and measurement methods between Japan and the United States. Nonetheless, our findings suggest that NF-L concentrations could be an early diagnostic marker for CJD patients with further enhancements. The potential impact of our findings on the early diagnosis of CJD patients is significant. Future research should focus on increasing the number of sCJD cases studied in Japan and gathering additional evidence using next-generation measurement techniques. Full article
(This article belongs to the Section Molecular Medicine)
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<p>Correlation between disease duration and CSF/serum NF-L (<b>A</b>). Correlation between disease duration and CSF NF-L (R<sup>2</sup> = 0.0042, Pearson’s CC = 0.0064) (<b>B</b>). Correlation between disease duration and serum NF-L (R<sup>2</sup> = 0.0022, Pearson’s CC = 0.047) (<b>C</b>). Correlation between CSF and serum NF-L levels (R<sup>2</sup> = 0.3298, Pearson’s CC = 0.576).</p>
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<p>Correlation between duration of illness from onset to akinetic mutism and NF-L concentration (<b>A</b>), CSF c (<b>B</b>), serum (R<sup>2</sup> = 3 × 10<sup>5</sup>, Pearson’s CC = −0.005) (<b>C</b>), and average NF-L in CSF and serum (median ± S.D.).</p>
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<p>Correlation between cerebrospinal fluid NF-L/serum NF-L levels and disease duration (short-term vs. long-term). (<b>A</b>) and (<b>B</b>): 0-20 months (short-term). (<b>A</b>): R<sup>2</sup> = 0.0189; Pearson’s CC = 0.137. (<b>B</b>): R<sup>2</sup> = 0.0397, Pearson’s CC = −0.0199. (<b>C</b>) and (<b>D</b>) ≥20 months (long-term). (<b>C</b>): R<sup>2</sup> = 0.006, Pearson’s CC = 0.077. (<b>D</b>): R<sup>2</sup> = 0.0003; Pearson’s CC = −0.016. (<b>E</b>) Correlation between CSF NF-L levels and serum NF-L levels in the short term (0–20 months) (R<sup>2</sup> = 0.053, Pearson’s CC = 0.2303).</p>
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<p>Relationship between age at onset and CSF NF-L. (<b>A</b>,<b>B</b>) Age at onset and NF-L concentration ((<b>A</b>): CSF; (<b>B</b>): Serum). (<b>C</b>,<b>D</b>) Correlation between age at onset and CSF/serum NF-L<sup>©</sup>, and correlation between age at onset and CSF NF-L (R<sup>2</sup> = 0.0184, Pearson’s CC = 0.135). (<b>D</b>) Correlation between age at onset and serum NF-L (R<sup>2</sup> = 0.0557, Pearson’s CC = 0.236).</p>
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16 pages, 4720 KiB  
Article
Co-Hydrothermal Carbonization of Goose Feather and Pine Sawdust: A Promising Strategy for Disposal of Sports Waste and the Robust Improvement of the Supercapacitor Characteristics of Pyrolytic Nanoporous Carbon
by Tingyu Ma, Jieni Wang, Xiaobo Han, Chuanbing Zhang, Yahui Xu, Leichang Cao, Shuguang Zhao, Jinglai Zhang and Shicheng Zhang
Molecules 2025, 30(1), 26; https://doi.org/10.3390/molecules30010026 (registering DOI) - 25 Dec 2024
Abstract
Discarded sports waste faces bottlenecks in application due to inadequate disposal measures, and there is often a neglect of enhancing resource utilization efficiency and minimizing environmental impact. In this study, nanoporous biochar was prepared through co-hydrothermal carbonization (co-HTC) and pyrolytic activation by using [...] Read more.
Discarded sports waste faces bottlenecks in application due to inadequate disposal measures, and there is often a neglect of enhancing resource utilization efficiency and minimizing environmental impact. In this study, nanoporous biochar was prepared through co-hydrothermal carbonization (co-HTC) and pyrolytic activation by using mixed goose feathers and heavy-metals-contaminated pine sawdust. Comprehensive characterization demonstrated that the prepared M-3-25 (Biochar derived from mixed feedstocks (25 mg/g Cu in pine sawdust) at 700 °C with activator ratios of 3) possesses a high specific surface area 2501.08 m2 g−1 and abundant heteroatomic (N, O, and Cu), exhibiting an outstanding physicochemical structure and ultrahigh electrochemical performance. Compared to nanocarbon from a single feedstock, M-3-25 showed an ultrahigh capacitance of 587.14 F g−1 at 1 A g−1, high energy density of 42.16 Wh kg−1, and only 8.61% capacitance loss after enduring 10,000 cycles at a current density of 10 A g−1, positioning M-3-25 at the forefront of previously known biomass-derived nanoporous carbon supercapacitors. This research not only introduces a promising countermeasure for the disposal of sports waste but also provides superior biochar electrode materials with robust supercapacitor characteristics. Full article
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<p>SEM images of (<b>a</b>) M-25, (<b>b</b>) M-2-25, (<b>c</b>) M-3-25, (<b>d</b>) M-3-50.</p>
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<p>(<b>a</b>) N<sub>2</sub> adsorption and desorption isotherms of porous carbons. (<b>b</b>) Pore size distribution diagram of porous carbons.</p>
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<p>(<b>a</b>) Van Krevelen diagram of feedstocks, hydro-chars, and porous carbons, (<b>b</b>) Raman patterns of porous carbons, (<b>c</b>) XRD spectra of porous carbons.</p>
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<p>(<b>a</b>) Full-scan XPS measurement spectra of samples. (<b>b</b>–<b>d</b>) Fine spectra of C 1s, O 1s, and Cu2p of M-3-25.</p>
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<p>Electrochemical performance of samples in the three-electrode system. (<b>a</b>) GCD curves, (<b>b</b>) GCD curves of M-3-25 at different densities from 0.5 to 20 A g<sup>−1</sup>, (<b>c</b>) CV curves, (<b>d</b>) CV curves of M-3-25 at different scanning rates from 5 to 200 mV s<sup>−1</sup>, (<b>e</b>) specific capacitance of M-3-25 at different current densities, (<b>f</b>) electrochemical cycle test of M-3-25 at 10 A g<sup>−1</sup>.</p>
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<p>Nyquist plots of M-3-25, PS-3-0, and M-3-0.</p>
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<p>(<b>a</b>) CV curves of M-3-25 at different open circuit voltages, (<b>b</b>) CV curves of M-3-25 at 1.3 V at open-circuit voltage, (<b>c</b>) GCD curves of M-3-25 at different current densities, (<b>d</b>) specific capacitance of M-3-25//M-3-25 at different current densities, (<b>e</b>) relationship between energy density and power density of M-3-25.</p>
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<p>Schematic diagram of the preparation process of nanoporous activated biochar.</p>
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27 pages, 14794 KiB  
Article
The Impact and Mechanism of New-Type Urbanization on High-Quality Forestry Development: A Case Study of the Yellow River Basin in China
by Longbo Ma, Qian Wang, Yiqi Zhu and Zujun Liu
Diversity 2025, 17(1), 7; https://doi.org/10.3390/d17010007 (registering DOI) - 25 Dec 2024
Abstract
The Paris Agreement emphasizes the critical role of forests in addressing climate change and ecological protection. High-quality forestry development is an important aspect of forest conservation. As a core strategy for China’s economic transformation, new-type urbanization is increasingly interacting with high-quality forestry development. [...] Read more.
The Paris Agreement emphasizes the critical role of forests in addressing climate change and ecological protection. High-quality forestry development is an important aspect of forest conservation. As a core strategy for China’s economic transformation, new-type urbanization is increasingly interacting with high-quality forestry development. This study aims to explore this relationship and analyze its impact mechanism. Taking the representative Yellow River Basin in China as an example, this research uses a benchmark regression model, mediation effect model, and threshold effect model from 2010 to 2022 to quantitatively analyze the impact of new-type urbanization on high-quality forestry development. The results show that (1) new-type urbanization has significantly promoted high-quality forestry development, with an estimated coefficient of 0.325; (2) forestry in different regions exhibits significant differences, with the forestry return coefficients for the upper, middle, and lower reaches being 0.326, 0.213, and −0.359, respectively; (3) technological innovation plays a key role in improving forestry production efficiency, resource diversity, and ecosystem services, with an estimated coefficient of 6.543 for technological innovation; (4) the greater the government support, the larger the impact. The p-value of the double threshold is 0.037. Accordingly, to achieve high-quality forestry development, joint efforts are required at both the national and regional levels in promoting new-type urbanization. At the national level, specific ecological areas should be taken as units, and a collaborative development plan for new-type urbanization and high-quality forestry development should be formulated based on the land spatial planning system. This plan should clarify top policy objectives, set up special funds, establish long-term incentives and supervision mechanisms, and ensure that new urbanization has a positive impact on forestry development. At the regional level, appropriate technological innovations should be introduced based on local characteristics, and differentiated new-type urbanization development policies should be formulated to promote high-quality forestry development in the region. Full article
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<p>Geographical overview of the nine provinces of the yellow river. Note 1: The maps are derived from the standard map authorized by the Ministry of Natural Resources of the People’s Republic of China (Approval Number: GS (2019) 1823). The map approval number (GS (2019) 1823) can be entered in the search bar at <a href="http://bzdt.ch.mnr.gov.cn/" target="_blank">http://bzdt.ch.mnr.gov.cn/</a> for verification (accessed on 15 November 2024). Note 2: The data on the Yellow River Basin area come from the Environmental and Resource Data Center of the Chinese Academy of Sciences (<a href="https://www.resdc.cn/" target="_blank">https://www.resdc.cn/</a>) (accessed on 15 November 2024). The upstream zone includes Qinghai, Gansu, Sichuan, Ningxia, Inner Mongolia. The midstream zone includes Shaanxi, Shanxi. The downstream zone includes Henan, Shandong.</p>
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<p>Mechanisms underlying the impact of new-type urbanization on high-quality forestry development. Note: Hypothesis 1: The direct impact of new-type urbanization on high-quality forestry development. Hypothesis 2: Introducing heterogeneity analysis from the perspectives of geographical location and population size. Hypothesis 3: Introducing technological innovation to explore the mediating effect. Hypothesis 4: Introducing government support to explore nonlinear effects.</p>
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<p>Methodological and technological framework. Note: The white diamond-shaped boxes represent mechanism analyses, which include heterogeneity analysis and threshold effect analysis.</p>
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<p>Changes in the comprehensive index of the new-type urbanization level in the Yellow River Basin in 2010, 2015, 2020, and 2022 across four dimensions, which include economic urbanization, social urbanization, population urbanization, and ecological urbanization. The background image is sourced from the administrative area planning map in the Environmental and Resource Data Center of the Chinese Academy of Sciences (<a href="https://www.resdc.cn/" target="_blank">https://www.resdc.cn/</a>), and the data used for the four dimensions in the diagram are all scores derived from the entropy method.</p>
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<p>Map of temporal characteristics of new-type urbanization. The data used in the figure are the composite scores derived from the entropy method. Note: (<b>a</b>) The changes in the new-type urbanization in 2010, 2015, 2020, 2022. (<b>b</b>) The map of kernel density for new-type urbanization from 2010 to 2022 in the Yellow River Basin.</p>
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<p>Map of spatial characteristics of new-type urbanization. Note: This chart shows the new-type urbanization level index distribution in the Yellow River Basin in 2010, 2015, 2020, and 2022. The background image is sourced from the administrative area planning map in the Environmental and Resource Data Center of the Chinese Academy of Sciences (<a href="https://www.resdc.cn/" target="_blank">https://www.resdc.cn/</a>), and the data used in the figure are the composite scores derived from the entropy method.</p>
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<p>Changes in the comprehensive index of the high-quality forestry development level in the Yellow River Basin in 2010, 2015, 2020, and 2022 across four dimensions, which include economic benefit, social benefit, ecological benefit, and technical level. The background image is sourced from the administrative area planning map in the Environmental and Resource Data Center of the Chinese Academy of Sciences (<a href="https://www.resdc.cn/" target="_blank">https://www.resdc.cn/</a>), and the data used for the four dimensions in the diagram are all scores derived from the entropy method.</p>
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<p>Map of temporal characteristics of high-quality forestry development. The data used in the figure are the composite scores derived from the entropy method. Note: (<b>a</b>) The changes in the high-quality forestry development in 2010, 2015, 2020, 2022. (<b>b</b>) The map of kernel density for high-quality forestry development from 2010 to 2022 in the Yellow River Basin.</p>
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<p>Map of spatial characteristics of high-quality forestry development. Note: This chart shows the high-quality forestry development level index distribution in the Yellow River Basin in 2010, 2015, 2020, and 2022. The background image is sourced from the administrative area planning map in the Environmental and Resource Data Center of the Chinese Academy of Sciences (<a href="https://www.resdc.cn/" target="_blank">https://www.resdc.cn/</a>), and the data used in the figure are the composite scores derived from the entropy method.</p>
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<p>Plot of threshold likelihood ratio function. Note: Black dotted line (7.3523) represents the critical value of LR statistics at a 95% confidence level.</p>
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14 pages, 3474 KiB  
Article
Influence of Mikania micrantha Kunth Flavonoids on Composition of Soil Microbial Community
by Qilin Yang, Wenyang Cui, Zijun Guan, Zhenzhen Wang, Israt Jahan, Ping Li, Feng Qin, Xi Qiao, Bo Liu and Jian Yan
Int. J. Mol. Sci. 2025, 26(1), 64; https://doi.org/10.3390/ijms26010064 (registering DOI) - 25 Dec 2024
Abstract
Mikania micrantha, one of the world’s most destructive invasive species, is known for causing significant ecological and economic harm. While extensive research has focused on its growth characteristics, secondary metabolites, and control measures, its chemical interactions with the environment—particularly the role of [...] Read more.
Mikania micrantha, one of the world’s most destructive invasive species, is known for causing significant ecological and economic harm. While extensive research has focused on its growth characteristics, secondary metabolites, and control measures, its chemical interactions with the environment—particularly the role of flavonoids in shaping soil microbial communities—remain underexplored. In this study, we identified and quantified ten flavonoids from M. micrantha root exudates using UPLC-MS, including Hispidulin, Isorhamnetin, and Mikanin. To examine their impact, crude flavonoid extracts were applied to soil in potted experiments, which demonstrated that these compounds significantly increased soil fungal diversity and boosted the relative abundance of arbuscular mycorrhizal fungi (AMF). Furthermore, KEGG pathway analysis revealed that flavonoid addition elevated the copy numbers of genes involved in nitrogen cycling and metabolic functions, enhancing nutrient availability and microbial activity. Additionally, crude flavonoid extracts promoted the relative abundance of beneficial soil bacteria, such as Achromobacter, as well as AMF, both of which contribute to nutrient acquisition, plant growth, and soil health. These findings indicate that M. micrantha’s flavonoids can alter soil microbial community composition, thereby creating a favorable environment that reinforces its competitive edge over native plants. Full article
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<p>The chromatogram of flavonoids quantified by UPLC-MS, which involved the co-injection of the sample and the standard for analysis.</p>
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<p>Structure identification of flavonoids by their <sup>1</sup>H-NMR. Mikanin; Tambulin; Isohamnetin.</p>
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<p>UPLC-MS analysis of <span class="html-italic">M. Micrantha</span> root exudates. Compare the differences of flavonoids in culture for 6 days, 12 days, 18 days, 24 days, and 30 days. Biological repeat n = 5.</p>
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<p>Content changes of flavonoids in the pot experiment. Plants-CK: plants with no additives. Plant-F: plants with flavonoids. No plant-F: no plants with flavonoids. Different letters indicate significant differences between the two groups, and the same letters indicate no significant difference between the two groups.</p>
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<p>ITS sequencing results. (<b>A</b>) The soil fungi community of each treatment group at the level of the genus. (<b>B</b>) The soil fungi community of each treatment group at the level of the phylum. Others represent species with abundance less than 1%. (<b>C</b>) α-diversity (Shannon index) of soil fungi community; P_Add_F—plants with added flavonoids; NP_Add_F—no plants with flavonoids; NP_CK—no plants with no additives; P_CK—plants with no additives; (<b>D</b>). FUNGuild function prediction analysis, comparison of the relative abundances of Arbuscular mycorrhizal fungi in different treatment groups.</p>
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<p>16S rRNA sequencing of soil bacteria. (<b>A</b>). The bacterial community composition of each treatment group at the genus level. (<b>B</b>) Comparison of the gene copy numbers of homologous proteins related to nitrogen metabolism. (<b>C</b>) Bacterial composition at the phylum level in each treatment group. (<b>D</b>) Comparison of the relative abundances of 5 bacterial genera in different treatment groups of invasive soil. <span class="html-italic">Achromobacter</span>, <span class="html-italic">Sphingobacterium</span>, <span class="html-italic">kroppenstedtia</span>, <span class="html-italic">Novosphingobium</span>, <span class="html-italic">Sphingobium</span>.</p>
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<p>KEGG functional predictive analysis of Pathway Level 3. NP-F: Noninvasive soil with crude flavonoids extract. NP-CK: Noninvasive soil without addition. One-way ANOVA was used to assess differences between groups. Different letters indicate significant differences between the treatment groups (<span class="html-italic">p</span> ≤ 0.05), and the same letters indicate no significant difference between the groups, n = 5.</p>
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