Mechanisms of Zooplankton Community Assembly and Their Associations with Environmental Drivers in Arid-Region Reservoirs of Northwest China by Xuelian Qiu, Fangze Zi, Long Yun, Qiang Huo, Liting Yang, Yong Song, Shengao Chen

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Physiochemical and functional properties of gelatin obtained from frigate mackerel (Auxis thazard), skipjack tuna (Katsuwonus pelamis), Longtail tuna (Thunnus tonggol) and yellowfi... by Qinghe Yin, Haohao Shi, Yongqiang Zhao, Gang Yu, Haohao Wu, Guanghua Xia, Tao Yang

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Revisiting the Conventional Extraction of Protein Isolates from Faba Beans: Recovering Lost Protein from Sustainable Side Streams by Abraham Badjona, Robert Bradshaw, Caroline Millman, Martin Howarth, Bipro Dubey

“…SDS-PAGE and FTIR analyses confirmed the structural diversity among the recovered fractions, with albumin-rich and globulin-rich profiles exhibiting unique spectral and electrophoretic signatures. Functionally, fractions B and D exhibited superior water- and oil-holding capacities, indicating their potential utility in food formulations requiring enhanced moisture and lipid retention. …”
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Root Endophytic Microorganisms Contribute to the Attribute of Full-Year Shooting in Woody Bamboo <i>Cephalostachyum pingbianense</i> by Lushuang Li, Bin Li, Qing Li, Lianchun Wang, Hanqi Yang

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Research on Medium and Long-Term Runoff Forecast of Xijiang River in Dry Season Based on Statistical Model by LAN Yuxi, ZHANG Yin, NONG Zhenchang, WEI Yongjiang

“…Accurate medium and long-term runoff forecast is of great guiding significance to the development and utilization of water resources,allocation optimization,and water dispatch.Based on the three statistical models of mean generating function,periodic analysis,and multiple stepwise regression,this paper studied the medium and long-term runoff forecast of the Longtan Reservoir in the upper reaches of the Xijiang River and the Wuzhou hydrological station in the lower reaches from October to March of the following year and during the entire dry season (six months,from October to March of the following year).The results show that the three models all present positive forecast results.In the calibration and verification periods,the average pass rate exceeds 75%,and the mean absolute percentage error is basically within 30%.The forecast accuracy of the mean generating function and the multiple stepwise regression is significantly higher than that of the periodic analysis,with smaller forecast errors in larger values.Multiple stepwise regression is more stable than the other two models.Furthermore,affected by the consistency of data,the forecast accuracy of the Longtan Reservoir is significantly higher than that of the Wuzhou hydrological station.On the whole,multiple stepwise regression has the optimal forecast effect in the Xijiang River Basin.In addition,it can maintain high forecast accuracy at all levels and stages and provide a valuable reference for water dispatch decisions in the basin.In the future,multi-model fusion can be used to further improve the forecast effect.…”
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Classification and identification of medical insurance fraud:  a case-based reasoning approach by Xiaodi Liu, Shasha Zhang, Zengwen Wang, Shitao Zhang

“… Appropriate classification of medical insurance fraud events can not only be effective in preventing and combating fraud, but also greatly improve the utilization of medical resources. Due to the uncertainty inherent in medical insurance fraud, identifying and classifying the fraud are non-trivial tasks. …”
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Fast grouping fusion method of dual carbon monitoring data based on DBSCAN clustering algorithm by Rui Ma, Jiangbo Sha, Shuang Zhang, Dongge Zhu, Wenni Kang, Jia Liu

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Deterministic processes drive turnover-dominated beta diversity of breeding birds along the central Himalayan elevation gradient by Zhifeng Ding, Jianchao Liang, Le Yang, Cong Wei, Huijian Hu, Xingfeng Si

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Kolmogorov–Arnold Networks for Interpretable Crop Yield Prediction Across the U.S. Corn Belt by Mustafa Serkan Isik, Ozan Ozturk, Mehmet Furkan Celik

“…This study presents a state-of-the-art explainable artificial intelligence (XAI) method to estimate corn yield prediction over the Corn Belt in the continental United States (CONUS). We utilize the recently introduced Kolmogorov–Arnold Network (KAN) architecture, which offers an interpretable alternative to the traditional Multi-Layer Perceptron (MLP) approach by utilizing learnable spline-based activation functions instead of fixed ones. …”
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Efficient implementations of a Born Series for computing photoacoustic field from a collection of erythrocytes by Ujjal Mandal, Navroop Singh, Kartikay Singh, Vinit Nana Hagone, Jagpreet Singh, Anshu S. Anand, Ben T. Cox, Ratan K. Saha

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From Agricultural Waste to Functional Tea: Optimized Processing Enhances Bioactive Flavonoid Recovery and Antioxidant Capacity with Multifaceted Health Benefits in Loquat (<i>Eriob... by Mingzheng Duan, Xi Wang, Jinghan Feng, Xu Xiao, Lingying Zhang, Sijiu He, Liya Ma, Xue Wang, Shunqiang Yang, Muhammad Junaid Rao

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<i>Crataegus monogyna</i> Jacq., <i>Sorbus aria</i> (L.) Crantz and <i>Prunus spinosa</i> L.: From Edible Fruits to Functional Ingredients: A Review by Cristina Tamayo-Vives, María Úbeda, Patricia Morales, Patricia García-Herrera, María Cortes Sánchez-Mata

“…Plants have historically served as key sources of nutrition and popular medicine, which persists in current applications. …”
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Power and Frequency Control of Active Generator used for Smart Grid Applications by Ehsan Limouchi, Seyed Abbas Taher, Babak Ganji

“…Nowadays, renewable energy sources such as photovoltaic and active generators are utilized frequently in modern power systems especially micro-grid. …”
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Seamless Integration of Grid-Forming and Grid-Following Capabilities in a Single VSI Within a Unified Hybrid Control Framework Under Islanded Conditions by Iman Lorzadeh, Omid Lorzadeh, Dimitar V. Bozalakov, Luc Dupre, Lieven Vandevelde

“…The proposed UHC approach is designed specifically for islanded microgrids, providing functionalities for voltage-controlled inverters to perform multiple operational tasks simultaneously. …”
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Coastal Urban Ecological Security Pattern Identification Integrating Land Subsidence Factors: A Deep Learning-Based Case Study of Zhuhai City by Yuan Shaoxiong, Gong Qinghua, Ye Yuyao, Wang Jun, Hao Yinlei, Zhang Yaze, Liu Bowen

“…Principal component analysis and information entropy performed better in identifying construction and corridor areas, whereas nonlinear fusion showed advantages in source area identification. This study makes three key contributions: (1) it establishes a novel methodological framework for incorporating vertical geological factors into ESP construction, addressing a significant gap in traditional approaches; (2) it quantitatively reveals the spatial heterogeneity of land subsidence impacts on different functional ecological zones, providing evidence-based guidance for targeted management; and (3) it demonstrates the effectiveness of deep learning and multisource data fusion techniques in complex ecological-geological system modeling. …”
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Construction and optimization of a smart classroom system for emotional computing by HUANG Lijuan, CHENG Zhengyi, YANG Ziyan

“…Secondly, to improve the performance of the smart classroom system, convex optimization theory was utilized to optimize the allocation of system resources. …”
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Assessment of the Integrated Communicable Disease Surveillance and Response System in Thamar Governorate, Yemen by Basem F. Abdel-Aziz, Saddam A.H. Al-Nahari, Ali A. Al-Waleedi, Shymaa M. Elshoura

“…Objectives: This study aimed to assess the IDSR system core and support functions in Thamar Governorate, Yemen. Methods: The study utilized a cross-sectional design. …”

Transcriptome Analysis of Wild <i>Bletilla striata</i> Tubers Across Multiple Years Revealed the Molecular Mechanisms Regulating Polysaccharide Metabolism and Tuber Enlargement by Hai Huang, Long Yang, Chunfang Luo, Tuo Qi, Junna Duan

“…Our study offers valuable insights into the conservation and utilization of <i>B. striata</i> resources.…”
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Dynamic Femur Fracture Brace vs Hip Spica Cast for Pediatric Femoral Shaft Fractures: A Retrospective Comparative Cohort Study by Virginia F. Casey, MD, Calvin C. Chandler, MD, George D. Graham, MD, Steven L. Frick, MD

“…Our study replicates previously presented work that the DF2 brace represents an attractive alternative for managing pediatric femoral shaft fractures, optimizing healthcare resource utilization without compromising treatment efficacy. …”
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Environmental adaptations in metagenomes revealed by deep learning by Johanna C. Winder, Simon Poulton, Taoyang Wu, Thomas Mock, Cock van Oosterhout

“…In this study, we applied a transfer learning approach using the ESM-2 protein structure prediction model and our own smaller ANN to classify proteins containing the domain of unknown function 3494 (DUF3494) by their source environments. …”
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