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16 pages, 2326 KiB  
Article
Patterns and Determinants of Ecological Uniqueness in Plant Communities on the Qinghai-Tibetan Plateau
by Liangtao Li and Gheyur Gheyret
Plants 2025, 14(15), 2379; https://doi.org/10.3390/plants14152379 - 1 Aug 2025
Viewed by 185
Abstract
The Qinghai-Tibetan Plateau is one of the world’s most prominent biodiversity hotspots. Understanding the spatial patterns of ecological uniqueness in its plant communities is essential for uncovering the mechanisms of community assembly and informing effective conservation strategies. In this study, we analyzed data [...] Read more.
The Qinghai-Tibetan Plateau is one of the world’s most prominent biodiversity hotspots. Understanding the spatial patterns of ecological uniqueness in its plant communities is essential for uncovering the mechanisms of community assembly and informing effective conservation strategies. In this study, we analyzed data from 758 plots across 338 sites on the Qinghai-Tibetan Plateau. For each plot, the vegetation type was classified, and all plant species present, along with their respective abundance or coverage, were recorded in the database. To assess overall compositional variation, community β-diversity was quantified, while a plot-level approach was applied to determine the influence of local environmental conditions and community characteristics on ecological uniqueness. We used stepwise multiple regressions, variation partitioning, and structural equation modeling to identify the key drivers of spatial variation in ecological uniqueness. Our results show that (1) local contributions to β-diversity (LCBD) exhibit significant geographic variation—increasing with longitude, decreasing with latitude, and showing a unimodal trend along the elevational gradient; (2) shrubs and trees contribute more to β-diversity than herbaceous species, and LCBD is strongly linked to the proportion of rare species; and (3) community characteristics, including species richness and vegetation coverage, are the main direct drivers of ecological uniqueness, explaining 36.9% of the variance, whereas climate and soil properties exert indirect effects through their interactions. Structural equation modeling further reveals a coordinated influence of soil, climate, and community attributes on LCBD, primarily mediated through soil nutrient availability. These findings provide a theoretical basis for adaptive biodiversity management on the Qinghai-Tibetan Plateau and underscore the conservation value of regions with high ecological uniqueness. Full article
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22 pages, 3013 KiB  
Article
Determining Early Warning Thresholds to Detect Tree Mortality Risk in a Southeastern U.S. Bottomland Hardwood Wetland
by Maricar Aguilos, Jiayin Zhang, Miko Lorenzo Belgado, Ge Sun, Steve McNulty and John King
Forests 2025, 16(8), 1255; https://doi.org/10.3390/f16081255 - 1 Aug 2025
Viewed by 197
Abstract
Prolonged inundations are altering coastal forest ecosystems of the southeastern US, causing extensive tree die-offs and the development of ghost forests. This hydrological stressor also alters carbon fluxes, threatening the stability of coastal carbon sinks. This study was conducted to investigate the interactions [...] Read more.
Prolonged inundations are altering coastal forest ecosystems of the southeastern US, causing extensive tree die-offs and the development of ghost forests. This hydrological stressor also alters carbon fluxes, threatening the stability of coastal carbon sinks. This study was conducted to investigate the interactions between hydrological drivers and ecosystem responses by analyzing daily eddy covariance flux data from a wetland forest in North Carolina, USA, spanning 2009–2019. We analyzed temporal patterns of net ecosystem exchange (NEE), gross primary productivity (GPP), and ecosystem respiration (RE) under both flooded and non-flooded conditions and evaluated their relationships with observed tree mortality. Generalized Additive Modeling (GAM) revealed that groundwater table depth (GWT), leaf area index (LAI), NEE, and net radiation (Rn) were key predictors of mortality transitions (R2 = 0.98). Elevated GWT induces root anoxia; declining LAI reduces productivity; elevated NEE signals physiological breakdown; and higher Rn may amplify evapotranspiration stress. Receiver Operating Characteristic (ROC) analysis revealed critical early warning thresholds for tree mortality: GWT = 2.23 cm, LAI = 2.99, NEE = 1.27 g C m−2 d−1, and Rn = 167.54 W m−2. These values offer a basis for forecasting forest mortality risk and guiding early warning systems. Our findings highlight the dominant role of hydrological variability in ecosystem degradation and offer a threshold-based framework for early detection of mortality risks. This approach provides insights into managing coastal forest resilience amid accelerating sea level rise. Full article
(This article belongs to the Special Issue Water and Carbon Cycles and Their Coupling in Forest)
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20 pages, 4472 KiB  
Article
Exploring Scientific Collaboration Patterns from the Perspective of Disciplinary Difference: Evidence from Scientific Literature Data
by Jun Zhang, Shengbo Liu and Yifei Wang
Big Data Cogn. Comput. 2025, 9(8), 201; https://doi.org/10.3390/bdcc9080201 - 1 Aug 2025
Viewed by 137
Abstract
With the accelerating globalization and rapid development of science and technology, scientific collaboration has become a key driver of knowledge production, yet its patterns vary significantly across disciplines. This study aims to explore the disciplinary differences in scholars’ scientific collaboration patterns and their [...] Read more.
With the accelerating globalization and rapid development of science and technology, scientific collaboration has become a key driver of knowledge production, yet its patterns vary significantly across disciplines. This study aims to explore the disciplinary differences in scholars’ scientific collaboration patterns and their underlying mechanisms. Data were collected from the China National Knowledge Infrastructure (CNKI) database, covering papers from four disciplines: mathematics, mechanical engineering, philosophy, and sociology. Using social network analysis, we examined core network metrics (degree centrality, neighbor connectivity, clustering coefficient) in collaboration networks, analyzed collaboration patterns across scholars of different academic ages, and compared the academic age distribution of collaborators and network characteristics across career stages. Key findings include the following. (1) Mechanical engineering exhibits the highest and most stable clustering coefficient (mean 0.62) across all academic ages, reflecting tight team collaboration, with degree centrality increasing fastest with academic age (3.2 times higher for senior vs. beginner scholars), driven by its reliance on experimental resources and skill division. (2) Philosophy shows high degree centrality in early career stages (mean 0.38 for beginners) but a sharp decline in clustering coefficient in senior stages (from 0.42 to 0.17), indicating broad early collaboration but loose later ties due to individualized knowledge production. (3) Mathematics scholars prefer collaborating with high-centrality peers (higher neighbor connectivity, mean 0.51), while sociology shows more inclusive collaboration with dispersed partner centrality. Full article
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15 pages, 2879 KiB  
Article
Study on the Eye Movement Transfer Characteristics of Drivers Under Different Road Conditions
by Zhenxiang Hao, Jianping Hu, Xiaohui Sun, Jin Ran, Yuhang Zheng, Binhe Yang and Junyao Tang
Appl. Sci. 2025, 15(15), 8559; https://doi.org/10.3390/app15158559 (registering DOI) - 1 Aug 2025
Viewed by 141
Abstract
Given the severe global traffic safety challenges—including threats to human lives and socioeconomic impacts—this study analyzes visual behavior to promote sustainable transportation, improve road safety, and reduce resource waste and pollution caused by accidents. Four typical road sections, namely, turning, straight ahead, uphill, [...] Read more.
Given the severe global traffic safety challenges—including threats to human lives and socioeconomic impacts—this study analyzes visual behavior to promote sustainable transportation, improve road safety, and reduce resource waste and pollution caused by accidents. Four typical road sections, namely, turning, straight ahead, uphill, and downhill, were selected, and the eye movement data of 23 drivers in different driving stages were collected by aSee Glasses eye-tracking device to analyze the visual gaze characteristics of the drivers and their transfer patterns in each road section. Using Markov chain theory, the probability of staying at each gaze point and the transfer probability distribution between gaze points were investigated. The results of the study showed that drivers’ visual behaviors in different road sections showed significant differences: drivers in the turning section had the largest percentage of fixation on the near front, with a fixation duration and frequency of 29.99% and 28.80%, respectively; the straight ahead section, on the other hand, mainly focused on the right side of the road, with 31.57% of fixation duration and 19.45% of frequency of fixation; on the uphill section, drivers’ fixation duration on the left and right roads was more balanced, with 24.36% of fixation duration on the left side of the road and 25.51% on the right side of the road; drivers on the downhill section looked more frequently at the distance ahead, with a total fixation frequency of 23.20%, while paying higher attention to the right side of the road environment, with a fixation duration of 27.09%. In terms of visual fixation, the fixation shift in the turning road section was mainly concentrated between the near and distant parts of the road ahead and frequently turned to the left and right sides; the straight road section mainly showed a shift between the distant parts of the road ahead and the dashboard; the uphill road section was concentrated on the shift between the near parts of the road ahead and the two sides of the road, while the downhill road section mainly occurred between the distant parts of the road ahead and the rearview mirror. Although drivers’ fixations on the front of the road were most concentrated under the four road sections, with an overall fixation stability probability exceeding 67%, there were significant differences in fixation smoothness between different road sections. Through this study, this paper not only reveals the laws of drivers’ visual behavior under different driving environments but also provides theoretical support for behavior-based traffic safety improvement strategies. Full article
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14 pages, 355 KiB  
Article
Driver Behavior-Driven Evacuation Strategy with Dynamic Risk Propagation Modeling for Road Disruption Incidents
by Yanbin Hu, Wenhui Zhou and Hongzhi Miao
Eng 2025, 6(8), 173; https://doi.org/10.3390/eng6080173 - 31 Jul 2025
Viewed by 131
Abstract
When emergency incidents, such as bridge damage, abruptly occur on highways and lead to traffic disruptions, the multidimensionality and complexity of driver behaviors present significant challenges to the design of effective emergency response mechanisms. This study introduces a multi-level collaborative emergency mechanism grounded [...] Read more.
When emergency incidents, such as bridge damage, abruptly occur on highways and lead to traffic disruptions, the multidimensionality and complexity of driver behaviors present significant challenges to the design of effective emergency response mechanisms. This study introduces a multi-level collaborative emergency mechanism grounded in driver behavior characteristics, aiming to enhance both traffic safety and emergency response efficiency through hierarchical collaboration and dynamic optimization strategies. By capitalizing on human drivers’ perception and decision-making attributes, a driver behavior classification model is developed to quantitatively assess the risk response capabilities of distinct behavioral patterns (conservative, risk-taking, and conformist) under emergency scenarios. A multi-tiered collaborative framework, comprising an early warning layer, a guidance layer, and an interception layer, is devised to implement tailored emergency strategies. Additionally, a rear-end collision risk propagation model is constructed by integrating the risk field model with probabilistic risk assessment, enabling dynamic adjustments to interception range thresholds for precise and real-time emergency management. The efficacy of this mechanism is substantiated through empirical case studies, which underscore its capacity to substantially reduce the occurrence of secondary accidents and furnish scientific evidence and technical underpinnings for emergency management pertaining to highway bridge damage. Full article
(This article belongs to the Special Issue Interdisciplinary Insights in Engineering Research)
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17 pages, 1909 KiB  
Article
Ergonomics Study of Musculoskeletal Disorders Among Tram Drivers
by Jasna Leder Horina, Jasna Blašković Zavada, Marko Slavulj and Damir Budimir
Appl. Sci. 2025, 15(15), 8348; https://doi.org/10.3390/app15158348 - 27 Jul 2025
Viewed by 317
Abstract
Work-related musculoskeletal disorders (WMSDs) are among the most prevalent occupational health issues, particularly affecting public transport drivers due to prolonged sitting, constrained postures, and poorly adaptable cabins. This study addresses the ergonomic risks associated with tram driving, aiming to evaluate biomechanical load and [...] Read more.
Work-related musculoskeletal disorders (WMSDs) are among the most prevalent occupational health issues, particularly affecting public transport drivers due to prolonged sitting, constrained postures, and poorly adaptable cabins. This study addresses the ergonomic risks associated with tram driving, aiming to evaluate biomechanical load and postural stress in relation to drivers’ anthropometric characteristics. A combined methodological approach was applied, integrating two standardized observational tools—RULA and REBA—with anthropometric modeling based on three representatives European morphotypes (SmallW, MidM, and TallM). ErgoFellow 3.0 software was used for digital posture evaluation, and lumbar moments at the L4/L5 vertebral level were calculated to estimate lumbar loading. The analysis was simulation-based, using digital human models, and no real subjects were involved. The results revealed uniform REBA (Rapid Entire Body Assessment) and RULA (Rapid Upper Limb Assessment) scores of 6 across all morphotypes, indicating moderate to high risk and a need for ergonomic intervention. Lumbar moments ranged from 51.35 Nm (SmallW) to 101.67 Nm (TallM), with the tallest model slightly exceeding the recommended ergonomic thresholds. These findings highlight a systemic mismatch between cabin design and user variability. In conclusion, ergonomic improvements such as adjustable seating, better control layout, and driver education are essential to reduce the risk of WMSDs. The study proposes a replicable methodology combining anthropometric, observational, and biomechanical tools for evaluating and improving transport workstation design. Full article
(This article belongs to the Section Applied Biosciences and Bioengineering)
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18 pages, 2696 KiB  
Article
Evaluation of Multiple Ecosystem Service Values and Identification of Driving Factors for Sustainable Development in the Mu Us Sandy Land
by Chunjun Shi, Yao Yao, Yuyi Gao and Jingpeng Guo
Diversity 2025, 17(8), 516; https://doi.org/10.3390/d17080516 - 26 Jul 2025
Viewed by 255
Abstract
Exploring the evolution of ecosystem services value (ESV) and its drivers is pivotal for optimizing the land-use structure and improving the value of ecosystem services. Using the 1980–2020 land-use/land-cover (LULC) dataset of the Mu Us Sandy Land, this study quantitatively evaluated ESV through [...] Read more.
Exploring the evolution of ecosystem services value (ESV) and its drivers is pivotal for optimizing the land-use structure and improving the value of ecosystem services. Using the 1980–2020 land-use/land-cover (LULC) dataset of the Mu Us Sandy Land, this study quantitatively evaluated ESV through LULC change, analyzing the spatiotemporal evolution characteristics of ESV and its driving forces. The results showed that (1) the LULC changes were stable from 1980 to 2020, and the ESV showed a slight downward trend in general. Grassland and water ecosystem services predominantly influenced ecosystem service function value fluctuations across the study area. (2) ESV demonstrated strong positive spatial autocorrelation, with high-value areas concentrated primarily in Red Alkali Nur, Dawa Nur, Batu Bay, and Ulanmulun Lake and low-value areas mainly distributed in unused land and certain agricultural zones. (3) The land-use degree and human activity intensity index were the main factors leading to the differentiation of ESV. The synergistic effects of human activities, landscape pattern changes, and natural factors led to the spatial differentiation of ESV in the study area. Beyond artificial ecological restoration projects, policies for ecosystem service management should pay more attention to the role of geodiversity in service provision. Full article
(This article belongs to the Section Biodiversity Conservation)
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24 pages, 622 KiB  
Article
The Differential Impact of Human Capital on Social Integration Among Rural–Urban and Urban–Urban Migrants in China
by Tao Xu and Jiyan Ren
Urban Sci. 2025, 9(8), 292; https://doi.org/10.3390/urbansci9080292 - 25 Jul 2025
Viewed by 487
Abstract
Differences exist between rural–urban migrants and urban–urban migrants in terms of human capital’s accumulation and pathways of social integration, yet few studies have systematically compared these distinctions. Based on the CMDS2017 survey data, this study constructed a comprehensive social integration index across four [...] Read more.
Differences exist between rural–urban migrants and urban–urban migrants in terms of human capital’s accumulation and pathways of social integration, yet few studies have systematically compared these distinctions. Based on the CMDS2017 survey data, this study constructed a comprehensive social integration index across four dimensions—economic integration, behavioral adaptation, identity recognition, and psychological assimilation—to analyze the influencing factors and decompose the disparities in social integration levels between the two groups from a human capital perspective. Using Oaxaca mean decomposition and Machado–Mata (MM) quantile decomposition, the results indicated that urban–urban migrants exhibited higher social integration levels than rural–urban migrants, with human capital significantly influencing integration outcomes. Better education, health status, longer migration duration, and more work experience positively enhanced migrants’ social integration. Human capital accounted for 38.35% of the social integration gap between the two groups, while coefficient differences were the primary driver of disparities. The returns to education diminish at higher integration levels, suggesting education played a stronger role for those with lower integration. The social integration gap between the two groups followed an inverted U-shaped trend, with smaller disparities at higher quantiles. As integration levels rose, characteristic differences declined continuously, indicating convergence toward homogeneity among high-integration migrants. These research findings indicated that the improvement in the social integration level of migrants still requires continuous investment in cultivating the human capital of migrants. Full article
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21 pages, 309 KiB  
Article
Italian Consumer Willingness to Pay for Agri-Food Sustainable Certification Labels: The Role of Sociodemographic Factors
by Francesca Gagliardi, Leonardo Brogi, Gianni Betti, Angelo Riccaboni and Cristiana Tozzi
Sustainability 2025, 17(15), 6792; https://doi.org/10.3390/su17156792 - 25 Jul 2025
Viewed by 209
Abstract
Studying consumers’ willingness to pay (WTP) for sustainable certification labels and preferences in consumption is a relevant issue for policymakers. Several studies have revealed a positive WTP a premium price for many certified products. The aim of this paper is to assess an [...] Read more.
Studying consumers’ willingness to pay (WTP) for sustainable certification labels and preferences in consumption is a relevant issue for policymakers. Several studies have revealed a positive WTP a premium price for many certified products. The aim of this paper is to assess an overview of Italian consumers’ WTP for eight different sustainable certification labels and to collect information about their consumption preferences and perceptions in consumption. Participants were selected by stratified simple random sampling, using regional distribution, gender, and age as stratification criteria, to obtain a representative sample of n = 3600. Eight ordered logit models were estimated to understand how consumer sociodemographic characteristics influence the price premium. The results show important differences in WTP among different certification labels; a higher WTP emerged for ethical certifications than for environmentally focused labels. Younger individuals; women; and those with higher education, income and life satisfaction, as well as consumers in southern regions, were significantly more willing to pay premiums for certified products. However, a key finding for policymakers is that the stated price premium consumers are willing to pay falls significantly short of the actual higher costs of these products in supermarkets. Furthermore, insights into consumer perceptions and preferences revealed that quality and origin are perceived as key price drivers, while method of production holds less importance. It also emerged that consumers primarily seek a balance between quality and price, with only a small segment prioritizing certified products. Full article
(This article belongs to the Special Issue Sustainability of Local Agri-Food Systems)
20 pages, 3197 KiB  
Article
Residential Buildings Use in Historic Buffer Zone: A Case Study of Nagbahal, Patan
by Sujata Shakya Bajracharya, Sudha Shrestha, Martina Maria Keitsch and Ashim Ratna Bajracharya
Architecture 2025, 5(3), 52; https://doi.org/10.3390/architecture5030052 - 23 Jul 2025
Viewed by 348
Abstract
Historic cities across the globe have experienced profound changes in their spatial and functional characteristics over time, and the historic core of Patan, Nepal, is no exception. The area surrounding Patan Durbar Square was designated as a UNESCO World Heritage Site in 1979. [...] Read more.
Historic cities across the globe have experienced profound changes in their spatial and functional characteristics over time, and the historic core of Patan, Nepal, is no exception. The area surrounding Patan Durbar Square was designated as a UNESCO World Heritage Site in 1979. Between 2003 and 2007, the Kathmandu Valley was placed on UNESCO’s List of World Heritage in Danger, largely due to various factors, including the rapid and unsympathetic transformation of its buffer zone. This study focuses on the Nagbahal neighborhood, a culturally significant locality within this buffer area, to explore a community-rooted and sustainable approach to conservation. Employing a mixed-methods research design, the study integrates qualitative and quantitative data gathered through interviews and surveys of native residents. It investigates the drivers and impacts of changes in the function, ownership, and physical form of traditional residential buildings, and assesses whether these changes align with principles of sustainable heritage conservation—social, cultural, economic, and environmental. While challenges persist, including the proliferation of reinforced concrete structures and limited enforcement of heritage policies, the findings reveal that Nagbahal remains resilient due to strong local traditions, active religious institutions, and cohesive social practices. The study offers transferable lessons for sustainable conservation in living heritage buffer zones globally. Full article
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27 pages, 63490 KiB  
Article
Spatio-Temporal Evolution and Driving Mechanisms of Ecological Resilience in the Upper Yangtze River from 2010 to 2030
by Hongxiang Wang, Lintong Huang, Shuai Han, Jiaqi Lan, Zhijie Yu and Wenxian Guo
Land 2025, 14(8), 1518; https://doi.org/10.3390/land14081518 - 23 Jul 2025
Viewed by 283
Abstract
Watershed ecosystem resilience (RES) plays a vital role in supporting ecosystem sustainability. However, comprehensive assessments and investigations into the complex mechanisms driving RES remain limited, particularly in ecologically sensitive basins. To address this gap, this study proposes a multidimensional RES evaluation framework tailored [...] Read more.
Watershed ecosystem resilience (RES) plays a vital role in supporting ecosystem sustainability. However, comprehensive assessments and investigations into the complex mechanisms driving RES remain limited, particularly in ecologically sensitive basins. To address this gap, this study proposes a multidimensional RES evaluation framework tailored to watershed-specific natural characteristics. The framework integrates five core dimensions: ecosystem resistance, ecosystem recovery capacity, ecosystem adaptability, ecosystem services, and ecosystem vitality. RES patterns under 2030 different future scenarios were simulated using the PLUS model combined with CMIP6 climate projections. Spatial and temporal dynamics of RES from 2010 to 2020 were quantified using Geodetector and Partial Least Squares Path Modeling, offering insights into the interactions among natural and anthropogenic drivers. The results reveal that RES in the Upper Yangtze River Basin exhibits a spatial gradient of “high in the east and west, low in the middle” with an overall 2.80% decline during the study period. Vegetation coverage and temperature emerged as dominant natural drivers, while land use change exerted significant indirect effects by altering ecological processes. This study emphasizes the importance of integrated land-climate strategies and offers valuable guidance for enhancing RES and supporting sustainable watershed management in the context of global environmental change. Full article
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30 pages, 13059 KiB  
Article
Verifying the Effects of the Grey Level Co-Occurrence Matrix and Topographic–Hydrologic Features on Automatic Gully Extraction in Dexiang Town, Bayan County, China
by Zhuo Chen and Tao Liu
Remote Sens. 2025, 17(15), 2563; https://doi.org/10.3390/rs17152563 - 23 Jul 2025
Viewed by 348
Abstract
Erosion gullies can reduce arable land area and decrease agricultural machinery efficiency; therefore, automatic gully extraction on a regional scale should be one of the preconditions of gully control and land management. The purpose of this study is to compare the effects of [...] Read more.
Erosion gullies can reduce arable land area and decrease agricultural machinery efficiency; therefore, automatic gully extraction on a regional scale should be one of the preconditions of gully control and land management. The purpose of this study is to compare the effects of the grey level co-occurrence matrix (GLCM) and topographic–hydrologic features on automatic gully extraction and guide future practices in adjacent regions. To accomplish this, GaoFen-2 (GF-2) satellite imagery and high-resolution digital elevation model (DEM) data were first collected. The GLCM and topographic–hydrologic features were generated, and then, a gully label dataset was built via visual interpretation. Second, the study area was divided into training, testing, and validation areas, and four practices using different feature combinations were conducted. The DeepLabV3+ and ResNet50 architectures were applied to train five models in each practice. Thirdly, the trainset gully intersection over union (IOU), test set gully IOU, receiver operating characteristic curve (ROC), area under the curve (AUC), user’s accuracy, producer’s accuracy, Kappa coefficient, and gully IOU in the validation area were used to assess the performance of the models in each practice. The results show that the validated gully IOU was 0.4299 (±0.0082) when only the red (R), green (G), blue (B), and near-infrared (NIR) bands were applied, and solely combining the topographic–hydrologic features with the RGB and NIR bands significantly improved the performance of the models, which boosted the validated gully IOU to 0.4796 (±0.0146). Nevertheless, solely combining GLCM features with RGB and NIR bands decreased the accuracy, which resulted in the lowest validated gully IOU of 0.3755 (±0.0229). Finally, by employing the full set of RGB and NIR bands, the GLCM and topographic–hydrologic features obtained a validated gully IOU of 0.4762 (±0.0163) and tended to show an equivalent improvement with the combination of topographic–hydrologic features and RGB and NIR bands. A preliminary explanation is that the GLCM captures the local textures of gullies and their backgrounds, and thus introduces ambiguity and noise into the convolutional neural network (CNN). Therefore, the GLCM tends to provide no benefit to automatic gully extraction with CNN-type algorithms, while topographic–hydrologic features, which are also original drivers of gullies, help determine the possible presence of water-origin gullies when optical bands fail to tell the difference between a gully and its confusing background. Full article
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21 pages, 2774 KiB  
Article
Design, Synthesis, and Anticancer Evaluation of New Small-Molecule EGFR Inhibitors Targeting NSCLC and Breast Cancer
by Belgin Sever, Masami Otsuka, Mikako Fujita and Halilibrahim Ciftci
Int. J. Mol. Sci. 2025, 26(15), 7065; https://doi.org/10.3390/ijms26157065 - 22 Jul 2025
Viewed by 244
Abstract
EGFR is the most frequently altered driver gene in non-small-cell lung cancer (NSCLC), and its overexpression is also associated with breast cancer. In the present study, we synthesized 18 new compounds (B-1, B-2, B-6, B-7, and BP-1 [...] Read more.
EGFR is the most frequently altered driver gene in non-small-cell lung cancer (NSCLC), and its overexpression is also associated with breast cancer. In the present study, we synthesized 18 new compounds (B-1, B-2, B-6, B-7, and BP-114). The cytotoxicity of these compounds was evaluated in A549 NSCLC and MCF-7 breast cancer cells, as well as in Jurkat cells and PBMCs (healthy). The most potent compounds were further examined for their ability to induce apoptosis in A549 and MCF-7 cells, as well as their EGFR inhibitory activity. Molecular docking was conducted at the ATP-binding site of EGFR, and key pharmacokinetic and toxicity parameters were predicted in silico. B-2 demonstrated the strongest cytotoxicity against A549 and MCF-7 cells (IC50 = 2.14 ± 0.83 μM and 8.91 ± 1.38 μM, respectively), displaying selective cytotoxicity between Jurkat cells and PBMCs (SI = 23.2). B-2 induced apoptosis in A549 and MCF-7 cells at rates of 16.8% and 4.3%, respectively. B-2 inhibited EGFR by 66% at a 10 μM concentration and showed a strong binding affinity to the ATP-binding site of EGFR. Furthermore, B-2 exhibited drug-like characteristics and was not identified as carcinogenic, genotoxic, or mutagenic. B-2 shows promise as an apoptosis inducer and EGFR inhibitor for future anti-NSCLC and anti-breast cancer research. Full article
(This article belongs to the Special Issue Design of Bioactive Agents and Interaction with Biological Systems)
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17 pages, 4550 KiB  
Article
Spatiotemporal Characteristics and Associated Circulation Features of Summer Extreme Precipitation in the Yellow River Basin
by Degui Yao, Xiaohui Wang and Jinyu Wang
Atmosphere 2025, 16(7), 892; https://doi.org/10.3390/atmos16070892 - 21 Jul 2025
Viewed by 165
Abstract
By utilizing daily precipitation data from 400 meteorological stations in the Yellow River Basin (YRB) of China, atmospheric and oceanic reanalysis data, this study investigates the climatological characteristics, leading modes, and relationships with atmospheric circulation and sea surface temperature (SST) of summer extreme [...] Read more.
By utilizing daily precipitation data from 400 meteorological stations in the Yellow River Basin (YRB) of China, atmospheric and oceanic reanalysis data, this study investigates the climatological characteristics, leading modes, and relationships with atmospheric circulation and sea surface temperature (SST) of summer extreme precipitation in the YRB from 1981 to 2020 through the extreme precipitation metrics and Empirical Orthogonal Function (EOF) analysis. The results indicate that both the frequency and intensity of extreme precipitation exhibit an eastward and southward increasing pattern in terms of climate state, with regions of higher precipitation showing greater interannual variability. When precipitation in the YRB exhibits a spatially coherent enhancement pattern, high latitudes exhibits an Eurasian teleconnection wave train that facilitates the southward movement of cold air. Concurrently, the northward extension of the Western Pacific subtropical high (WPSH) enhances moisture transport from low latitudes to the YRB, against the backdrop of a transitioning SST pattern from El Niño to La Niña. When precipitation in the YRB shows a “south-increase, north-decrease” dipole pattern, the southward-shifted Ural high and westward-extended WPSH converge cold air and moist in the southern YRB region, with no dominant SST drivers identified. Full article
(This article belongs to the Section Meteorology)
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33 pages, 1553 KiB  
Review
Multifaceted Human Antigen R (HuR): A Key Player in Liver Metabolism and MASLD
by Natalie Eppler, Elizabeth Jones, Forkan Ahamed and Yuxia Zhang
Livers 2025, 5(3), 33; https://doi.org/10.3390/livers5030033 - 21 Jul 2025
Viewed by 477
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD) has become the leading cause of chronic liver disease worldwide, affecting approximately 25–30% of the global adult population and highlighting the urgent need for effective therapeutics and prevention strategies. MASLD is characterized by excessive hepatic lipid accumulation [...] Read more.
Metabolic dysfunction-associated steatotic liver disease (MASLD) has become the leading cause of chronic liver disease worldwide, affecting approximately 25–30% of the global adult population and highlighting the urgent need for effective therapeutics and prevention strategies. MASLD is characterized by excessive hepatic lipid accumulation and can progress, in a subset of patients, to metabolic dysfunction-associated steatohepatitis (MASH), a pro-inflammatory and pro-fibrotic condition associated with increased risk of liver cirrhosis and hepatocellular carcinoma. Although the molecular drivers of MASLD progression remain incompletely understood, several key metabolic pathways—such as triglyceride handling, cholesterol catabolism, bile acid metabolism, mitochondrial function, and autophagy—are consistently dysregulated in MASLD livers. This narrative review summarizes primary literature and highlights insights from recent reviews on the multifaceted role of the mRNA-binding protein Human antigen R (HuR) in the post-transcriptional regulation of critical cellular processes, including nutrient metabolism, cell survival, and stress responses. Emerging evidence underscores HuR’s essential role in maintaining liver homeostasis, particularly under metabolic stress conditions characteristic of MASLD, with hepatocyte-specific HuR depletion associated with exacerbated disease severity. Moreover, comorbid conditions such as obesity, type 2 diabetes mellitus, and cardiovascular disease not only exacerbate MASLD progression but also involve HuR dysregulation in extrahepatic tissues, further contributing to liver dysfunction. A deeper understanding of HuR-regulated post-transcriptional networks across metabolic organs may enable the development of targeted therapies aimed at halting or reversing MASLD progression. Full article
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