MIESTC: A Multivariable Spatio-Temporal Model for Accurate Short-Term Wind Speed Forecasting by Shaohan Li, Min Chen, Lu Yi, Qifeng Lu, Hao Yang

“…The proposed model employs an independent encoder to extract features from each meteorological variable, mitigating the issues of noise that are caused by variable mixing. …”
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Construction of a Cold Island Spatial Pattern from the Perspective of Landscape Connectivity to Alleviate the Urban Heat Island Effect by Qianli Ouyang, Bohong Zheng, Junyou Liu, Xi Luo, Shengyan Wu, Zhaoqian Sun

“…Ultimately, a three-tiered heat island mitigation framework for urban agglomerations was established based on the CSP. …”
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Effects of laser beam profiles on the microstructure and magnetic properties of L-PBF soft magnetic alloys by Yongrae Kim, Hansol Lee, Taeho Ha, Jongryoul Kim, Joon Phil Choi

“…To overcome these issues, laser powder bed fusion (L-PBF) offers a promising route by enabling complex shapes, yet mitigating eddy current losses remains challenging at elevated frequencies. …”
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Comparative Analysis of Data Visualization and Deep Learning Models in Air Quality Forecasting by Bihter Daş, Damla Mengus

“…The findings indicate that predictive modeling, combined with data fusion and visualization techniques, could significantly contribute to mitigating future uncertainties and enhance the comprehension of air quality patterns for non-expert audiences.…”
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Multi-Robot Cooperative Simultaneous Localization and Mapping Algorithm Based on Sub-Graph Partitioning by Wan Xu, Yanliang Chen, Shijie Liu, Ao Nie, Rupeng Chen

“…First, a global matching and candidate loop selection strategy is incorporated into the front-end loop detection module, leveraging both LiDAR point clouds and visual features to achieve cross-robot loop detection, effectively mitigating computational redundancy and reducing false matches in collaborative multi-robot systems. …”
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ED-Swin Transformer: A Cassava Disease Classification Model Integrated with UAV Images by Jing Zhang, Hao Zhou, Kunyu Liu, Yuguang Xu

“…Firstly, we introduced the EMAGE (Efficient Multi-Scale Attention with Grouping and Expansion) module, which integrates the global distribution features and local texture details of diseased leaves in drone imagery through a multi-scale grouped attention mechanism, effectively mitigating the interference of complex background noise on feature extraction. …”
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BSMD-YOLOv8: Enhancing YOLOv8 for Book Signature Marks Detection by Long Guo, Lubin Wang, Qiang Yu, Xiaolan Xie

“…To address the issue of insufficient fusion of local and global feature information in PANet, we design the Low-stage gather-and-distribute (Low-GD) module and the High-stage gather-and-distribute (High-GD) module to enhance the model’s multi-scale feature fusion capabilities, thereby refining the integration of local and global features of signature marks. …”
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Honeybee colony soundscapes: Decoding distance-based cues and environmental stressors by Nayan Di, Chunjing Zhu, Zongwen Hu, Muhammad Zahid Sharif, Baizhong Yu, Fanglin Liu

“…These findings highlight the utility of acoustic analysis for studying honey bee behavior and underscore the importance of mitigating environmental stressors to sustain pollinator populations.…”
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An Analytical Framework for Risk Evaluation and Design of Infiltration Basins for Managed Aquifer Recharge by Aldo Fiori, Felipe P. J. de Barros, Alberto Bellin

“…The design of infiltration basins has been performed so far with the main objective of mitigating the tendency of the basin to reduce the infiltration rate with time due to clogging of the basin's bottom. …”
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Inflammasome-Mediated Neuroinflammation: A Key Driver in Alzheimer’s Disease Pathogenesis by Julie McGroarty, Shelbi Salinas, Hayden Evans, Bryan Jimenez, Vincent Tran, Samuel Kadavakollu, Arti Vashist, Venkata Atluri

“…Finally, we highlight emerging therapeutic strategies targeting NLRP3 inflammasome activation as promising avenues for mitigating neuroinflammation and slowing AD progression.…”
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Bio-Inspired Object Detection and Tracking in Aerial Images: Harnessing Northern Goshawk Optimization by Agnivesh Pandey, Rohit Raja, Sumit Srivastava, Krishna Kumar, Manoj Gupta, Chanyanan Somthawinpongsai, Aziz Nanthaamornphong

“…The research evaluates different algorithms and features to identify people, trees, cars, and buildings in real-world drone videos, addressing challenges in pinpointing specific objects among multiple entities. …”
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Physiological Function Disturbances and Adaptive Responses in Nile Tilapia (<i>Oreochromis niloticus</i>) Under Different Salinity Stresses by Ping Li, Tengzhou Li, Shaoying Xing, Ling Liu, Zhi-Hua Li

“…Additionally, the adaptive features of intestinal energy metabolism under high-salinity conditions were evident, with adjustments in HK and PK activities mitigating the effects of suppressed PFK activity. …”
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Multi-convolutional neural networks for cotton disease detection using synergistic deep learning paradigm. by Afira Aslam, Syed Muhammad Usman, Muhammad Zubair, Amanullah Yasin, Muhammad Owais, Irfan Hussain

“…After preprocessing, we combine features extracted from MobileNet and VGG16 to create a comprehensive feature vector, passed to three classifiers: Long Short Term Memory Units, Support Vector Machines, and Random Forest. …”
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WDS-YOLO: A Marine Benthos Detection Model Fusing Wavelet Convolution and Deformable Attention by Jiahui Qian, Ming Chen

“…Finally, the SF-PAFPN feature fusion structure was designed to enhance the model’s ability to detect smaller object features while mitigating false positives and missed detections. …”
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Androgens as the “old age stick” in skeletal muscle by Giulia Gentile, Ferdinando De Stefano, Carmela Sorrentino, Rosa D’Angiolo, Carmine Lauretta, Pia Giovannelli, Antimo Migliaccio, Gabriella Castoria, Marzia Di Donato

“…We also highlight the cellular and molecular features of this condition and discuss the mechanisms by which androgens preserve the muscle homeostasis. …”
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IMPACT: an interactive multi-disease prevention and counterfactual treatment system using explainable AI and a multimodal LLM by Prasant Kumar Mohanty, Sharmila Anand John Francis, Rabindra Kumar Barik, K. Hemant Kumar Reddy, Diptendu Sinha Roy, Manob Jyoti Saikia

“…Therefore, effective concurrent prevention of multiple diseases is essential for mitigating complications and improving overall well-being. …”
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Escherichia coli proteins uL29 and ACP stabilize the Tn7-encoded TnsD and its DNA binding by Shani B. Leyva Camacho, Lindsay A. Matthews, Alba Guarné

“…These results unveil unique features of the TnsD-mediated target-site selection complex.…”
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Management of War-Influenced Dispersed Teams by Volodymyr Voloboiev

“…This comparison highlights unique features that affect team performance and management in conditions of instability. …”
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Detecting Serbia’s Settlement Patterns: A Fuzzy Logic-Based Approach to Rural–Urban Area Delimitation for Spatial Planning by Aleksandra Gajić Protić, Nikola Krunić, Branko Protić

“…This study provides valuable insights into prioritized areas for planning strategies and support toward mitigating village loss and improving urban and rural sustainability. …”
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CHDPL-Net: a lightweight network for Chinese herbal decoction pieces detection by Chuhe Lin, Zhijun Xie, Xing Jin, Hangjuan Lin, Renguang Shan

“…Additionally, a newly designed downsampling module, RDown, replaces conventional downsampling methods to reduce computational overhead, while the adopted upsampling module, DySample, significantly enhances the recovery of detailed features. To further improve lightweight performance, we apply GhostConv to optimize the SPPF and C2F modules and incorporate a novel attention mechanism, EHA, which makes the model more sensitive to color and texture information, mitigating the performance degradation caused by lightweight design. …”
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