A Decoupled Segmentation-Classification Strategy Based on Semantic-SAM for Precise Semantic Segmentation in Coal Mine Areas by Libing Wang, Jihong Dong, Lei Wang, Feng Liu, Qingke Wen, Bekir Genc

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Future Drought Change Characteristics and Population Exposure Estimation in the Xijiang River Basin of Guangxi Based on CMIP6 by Qin Nianxiu, Wen Feng, Wang Junneng, He Jiye, Jiang Tong

“…The findings are as follows: (1) By employing Taylor diagrams to evaluate the multi-model ensemble mean method (MME) of 18 CMIP6 climate models, we found that the method effectively simulated temperature and precipitation in the Xijiang River Basin, reducing the uncertainty associated with single-model simulations. …”
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Study on the Complexity Evolution of the Aviation Network in China by Shuolei Zhou, Cheng Li, Shiguo Deng

“…Unlike conventional studies focusing on isolated topological metrics, we introduce a triangulated methodology: ① a network sequence analysis capturing structural shifts in degree distribution, clustering coefficient, and path length; ② novel redundancy–entropy coupling quantifying complexity evolution beyond traditional efficiency metrics; and ③ economic-network coordination modeling with spatial autocorrelation validation. Key innovations reveal previously unrecognized dynamics: ① Time-embedded density matrices (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>ρ</mi></mrow></semantics></math></inline-formula>) demonstrate how sparsity balances information propagation efficiency (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>η</mi></mrow></semantics></math></inline-formula>) and response diversity, resolving the paradox of functional yet sparse connectivity. ② Redundancy–entropy synergy exposes adaptive trade-offs. …”
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Imaging Metabolic Flow of Water in Plants with Isotope‐Traced Stimulated Raman Scattering Microscopy by Simin Bi, Jianpeng Ao, Ting Jiang, Xianmiao Zhu, Yimin Zhu, Weibing Yang, Binglian Zheng, Minbiao Ji

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Comparative transcriptome analysis of different tissues of Hylomecon japonica provides new insights into the biosynthesis pathway of triterpenoid saponins by Bing He, Teng Xu, Shaowei Xu, Huqiang Fang, Qingshan Yang, Qingshan Yang

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SPL-YOLOv8: A Lightweight Method for Rape Flower Cluster Detection and Counting Based on YOLOv8n by Yue Fang, Chenbo Yang, Jie Li, Jingmin Tu

“…The proposed model effectively detects rape flower clusters with minimal computational overhead, offering technical support for yield prediction and elite cultivar selection in rapeseed breeding.…”
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The role of aesthetic beauty of natural landscapes in supporting conservation efforts by Mariela Cervetto, Ofelia Gutiérrez, Walter Norbis, Daniel Panario

“…Abstract A landscape is the perceptible manifestation of a socio-ecosystem, where social and natural subsystems interact and co-evolve at different spatial and temporal scales. It is both a reality from a physical standpoint, and the representation we get of it. …”
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Web-Based Internship Recruitment System with Integration of Instant Notification Service for University Students by Muhammad Haznor Haqiff Hamam, Siti Zulaiha Ahmad, Jasmine Lim Seow Tiap

“… The critical role of internships in IT education is emphasized by rapid technological advancements, yet challenges such as limited platform availability and inefficient job posting processes persist. …”
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LiDAR-Based Road Cracking Detection: Machine Learning Comparison, Intensity Normalization, and Open-Source WebGIS for Infrastructure Maintenance by Nicole Pascucci, Donatella Dominici, Ayman Habib

“…Preprocessing included noise removal, resolution reduction to 2 cm, and ground/non-ground separation using the Cloth Simulation Filter (CSF), resulting in Bare Earth (BE), Digital Terrain Model (DTM), and Above Ground (AG) point clouds. …”
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Impact of Public Space in Primary and Secondary Schools Based on Natural Visibility Ratio by Feng Liu, Hao Zhou, Jiangtao Xie, Yue Tang, Shuyu Liu

“…Campus safety is an essential prerequisite for the development of the education system, as it directly impacts the security of life and property for a significant number of students and faculty members. …”
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Explainable AI Meets Synthetic Data: A Deep Learning Framework for Detecting Network Intrusion in NextG Network Infrastructure by Md Junayed Hossain, Khorshed Alam, Md Fahad Monir, Md Mozammal Hoque, Tarem Ahmed

“…Furthermore, we integrate Local Interpretable Model-Agnostic Explanations (LIME) to make model predictions transparent, increasing trust and usability for practical deployment. …”
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Estimation of Soil Salinity by Combining Spectral and Texture Information from UAV Multispectral Images in the Tarim River Basin, China by Jiaxiang Zhai, Nan Wang, Bifeng Hu, Jianwen Han, Chunhui Feng, Jie Peng, Defang Luo, Zhou Shi

“…Spatial distribution maps of soil salinity were then generated for each model. …”
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A city of cities: Measuring how 15-minutes urban accessibility shapes human mobility in Barcelona. by Eduardo Graells-Garrido, Feliu Serra-Burriel, Francisco Rowe, Fernando M Cucchietti, Patricio Reyes

“…Using a Negative Binomial Geographically Weighted Regression model, we show that, globally, people tend to visit neighborhoods with better access to education and retail. …”
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Cooperative Detection-Oriented Formation Design and Optimization of USV Swarms via an Improved Genetic Algorithm by Rui Liang, Dingzhao Li, Haixin Sun, Liangpo Hong

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Does forest management certification halt forest loss at country level? A global analysis by Saskia Dröge, Charline Depoorter, Axel Marx, Bart Muys

“…No significant association between certification coverage and forest loss reduction was found at the country level. These findings were limited by the lack of publicly available data on certified forests at high spatial resolution and the use of aggregated country-level certification coverage, which might obscure regional (sub-country) effects. …”
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Global and regional trends in Clostridioides difficile infection: An analysis from 1990 to 2021 by Xiaoxia Wang, Jing Pan, Ting Fu, Zhongshu Pu, Kun Liu

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Facial Feature Extraction Algorithm Based on Improved YOLOv7-Tiny by Yining Yao, Yawen Wang, Changyuan Wang, Yibo Zhang, Tingting Liu, Gaofeng Wang

“…The proposed algorithm achieves a detection accuracy of 59.8% mAP on the Drowsy-Driving-Det dataset, marking an 8.5% improvement over the original method, alongside a 60.9% reduction in model parameters. This improved algorithm not only meets real-time deployment requirements but also maintains high detection accuracy, making it well-suited for facial fatigue feature extraction in complex driving environments and edge deployment scenarios.…”
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Ultra‐Flexible µ‐ECoG Arrays Based on PEDOT:PSS Micropillars by Alice Lunghi, Michele Bianchi, Pierpaolo Greco, Riccardo Viaro, Michele Di Lauro, Luciano Fadiga, Fabio Biscarini

“…Advances in microfabrication techniques allow a dramatic reduction in electrode size, leading to highly‐dense microelectrode arrays with increased spatial resolution. …”
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Assessing Land Use Intensity and Ecosystem Service Dynamics in Citarum Watershed, Indonesia by Irmadi Nahib, Widiatmaka Widiatmaka, Suria Darma Tarigan, Wiwin Ambarwulam, Fadhlullah Ramadhani

“…Specifically, researchers analyze (1) the shifts in LULC and key ES components—water yield (WY), soil conservation (SC), and carbon storage (CS)—from 2010 to 2020, (2) the spatial relationship between land use intensity (LUI) and ES, and (3) the synchronization and distribution patterns of LUI and TES using a coupling coordination degree (CCD) model. …”
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Design Features of a Removable Module Intended for Securing Containers When Transported in an Open Wagon by Alyona Lovska, Juraj Gerlici, Ján Dižo, Mykhailo Pavliuchenkov, Pavlo Rukavishnikov

“…It was established based on the preformed calculations that this optimization contributes to reducing the unit mass of the frame beam by 1.5% compared to using a typical rectangular profile. A spatial model of the removable module was built, and its strength was calculated considering the results of the optimization process. …”
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