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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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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Uncertainty management in multiobjective electric vehicle integrated optimal power flow based hydrothermal scheduling of renewable power system for environmental sustainability by Susanta Dutta, Siddhartha Ghosh, Tushnik Sarkar, Provas Kumar Roy, Chandan Paul, Ruba Abu Khurma, Mohd Asif Shah, Saurav Mallik

“…Secondly, renewable energy sources such as wind-solar-EV are integrated with the aforesaid systems for lowering fuel cost, emission, active power loss (APL), aggregated voltage deviation (AVD), voltage stability index (VSI) and also cost, emision, APL, AVD, VSI are reduced simultaneously considering different cases for multi-objective functions.Proposed sine-cosine algorithm (SCA) embedded with quasi-oppositional based learning (QOBL), known as QOSCA is used to balance the exploration and exploitation ability in order to overcome shortcomings and provide global optimal solutions. …”
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Experimental Investigations on Repair and Permeability Reduction for Single Sandstone Fracture Using a Mixed CaCO₃ and Fe(OH)₃ Precipitate by Jinfeng Ju, Quansheng Li, Chenyu Wang, Yanan Fan

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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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A secured accreditation and equivalency certification using Merkle mountain range and transformer based deep learning model for the education ecosystem by Sumathy Krishnan, Surendran Rajendran, Mohammad Zakariah

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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. …”

An Embodied Intelligence System for Coal Mine Safety Assessment Based on Multi-Level Large Language Models by Yi Sun, Faxiu Ji

“…Furthermore, its memory functionality ensures the learning and utilization of historical experiences, providing a solid foundation for continuous assessment processes. …”
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The Impact of Differences in Renovation Models of Abandoned Boiler Rooms on Community Vitality—A Case Study of Shenyang, China by Lei Chen, Yahang Cheng, Zixi Zhou, Yibo Wen

“…We identify a “functional hybridization–spatial permeability–usage sustainability” mechanism underlying renovation efficacy and recommend the community service center paradigm as a priority strategy. …”
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Identification of Proteins and Determination of Metal Contents in Two Kinds of Macrocybe lobayensis by SU Chunyue, LU Yaping, LI Shenman, GAN Zixia, CHEN Guangying, ZHAO Zhendong, HE Wenying

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Assessment of Fresh Water Reallocation by Treated Wastewater for Irrigation by Mohammad A. Tabieh, Emad K. Al-Karablieh, Tala H. Qtaishat, Amer Z. Salman, Nael H. Thaher, Nehaya K. Al-Karablieh, Madi T. Al-Jaghbir, Tharaa M. Al-Zghoul, Ahmad I. Jamrah

“…Despite its potential to mitigate water scarcity, concerns about soil health, crop yield, and land utilization hinder widespread adoption. The research measures farm profitability and farmers' willingness to embrace TWW through various blending scenarios with traditional surface water sources, incorporating a yield response function to salinity within the profit function. …”
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Effects of Different Fertilization Measures on Bacterial Community Structure in Seed Production Corn Fields by Yirong Yang, Zhenhua Zhao, Bo Dong, Rui Zhang, Jing Jiang, Fengjie Ma, Yingying Zhang, Jianhua Zhao, Dandan Du, Jindong Qiu, Chong Li

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Isolation of globulin-enriched protein extracts from selected bamboo species using enhanced solvent extraction method: A comparative analysis of their physicochemical properties an... by Zile Xiao, Di Tian, Qiongfang Jiang, Jinlai Yang, Huimin Yang, Yue Zhang, Liangru Wu

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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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Prolonged ECMO support in a pediatric patient with complex cardiac conditions during wartime in Kyiv, Ukraine by Rusnak Daniel, Condello Ignazio, Dohtiar Valerii, Varbanets Serhii, Alieksieieva Kristina, Luhovkin Serhii, Palokha Vladyslav, Zhoha Vadym, Bukhnei Neonila, Krashevska Lesia, Kutsenko Olha, Kupina Nataliia, Vnukov Oleksii

“…Methods: The patient received ECMO support for a total of 259 days, utilizing both VV-ECMO and VA-ECMO configurations. …”
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Analysing the Influence of Augmented Reality on Organization Performance via Supply and Logistics Value Chain Functions: A Hybrid ANN-PLS Model Assessment in the Gulf Cooperation C... by Ahmad Aburayya

“…This essay looks at how the AR and resource-based supply value chain view may affect company performance across countries, firm sizes, and ages.…”
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Edible domestic animal blood products for biomedical and disease treatment applications by Zhi Cao, Imran Mahmood Khan, Xiangrui Niu, Yang Hu, Zhuang Duan, Qiang Fang, Zhouping Wang, Junsong Yang

“…They significantly impact cancer treatment and immune regulation, providing valuable resources for innovation in the food and pharmaceutical industries. …”
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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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Phosphorus Functional Genes Control Rice Yield via Microbial Biomass Phosphorus and Plant Phosphorus Uptake in a Rice–Oilseed Rape Rotation System Compared with a Rice–Wheat Rotati... by Qingyue Zhang, Weijia Yu, Min Li, Wenlong Cheng, Shengchang Huai, Yuwen Jin, Guihua Li, Ji Wu, Changai Lu

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