BED-YOLO: An Enhanced YOLOv10n-Based Tomato Leaf Disease Detection Algorithm by Qing Wang, Ning Yan, Yasen Qin, Xuedong Zhang, Xu Li

“…Traditional diagnostic methods rely on expert visual inspection, which is not only laborious but also prone to subjective bias. …”
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A Systematic Review of Mechanical Pretreatment Techniques of Wood Biomass for Bioenergy by Giorgia Di Domenico, Elisa Cioccolo, Leonardo Bianchini, Rachele Venanzi, Andrea Colantoni, Rodolfo Picchio, Luca Cozzolino, Valerio Di Stefano

“…This research provides a comprehensive review of current mechanical techniques, detailing their operational settings and performance metrics while also offering suggestions for optimizing biomass conversion processes. By promoting the use of mechanical pretreatment in biofuel production systems, the findings align with the principles of a circular economy and contribute to the development of greener energy sources.…”
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Construction and Application of Monitoring System for Green Tarpaulin Cover Net in Mega Cities by Yang SUN, Dawei GAO, Haoye JIANG, Wanguang DU

“…Specifically, the research first utilizes high-resolution satellite remote sensing images as the basic data source, and ensures data quality through preprocessing measures such as image correction and enhancement. …”
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Innovative aspects of customer relationship management in an ecosystem marketing environment by O. V. Godina, L. S. Maksimenko, Yu. V. Alekseenko, D. A. Kolominskaya

“…The study aims to highlight the key aspects of innovative customer relationship management based on the ecosystem approach and to propose mechanisms for building their loyalty as a long-term competitive advantage. Materials and methods. The study draws on an analysis of literary sources and empirical data on the activities of leading ecosystem companies, employing methods of systems and comparative analysis, synthesis, induction and deduction, as well as tabular and graphical data representation and an expert approach. …”
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Recent Advances and Future Prospects of Lithium Recovery from Low-Grade Lithium Resources: A Review by Jihan Gu, Binjun Liang, Xianping Luo, Xin Zhang, Weiquan Yuan, Bin Xiao, Xuekun Tang

“…Future research should focus on improving the selectivity and efficiency of extraction and processing technologies, optimizing separation processes, and developing green and cost-effective extraction methods. …”
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Solutions for Lithium Battery Materials Data Issues in Machine Learning: Overview and Future Outlook by Pengcheng Xue, Rui Qiu, Chuchuan Peng, Zehang Peng, Kui Ding, Rui Long, Liang Ma, Qifeng Zheng

“…Abstract The application of machine learning (ML) techniques in the lithium battery field is relatively new and holds great potential for discovering new materials, optimizing electrochemical processes, and predicting battery life. …”
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The current situation and factors influencing the use of traditional Chinese medicine therapies among patients with chronic disease in china: a cross-sectional study by Yifei Cao, Ting Huang, Haoyan Deng, Jingyi Zhang, Fengjiao Guo, Wenqiang Yin, Jinwei Hu, Zhongming Chen, Hongwei Guo

“…The government and relevant departments should understand the trend in the use of TCM therapies in chronic disease management, accurately identify the characteristics of the population that has chronic diseases, optimize publicity channels, enhance the accessibility and acceptance of TCM therapies in global chronic disease health management, and provide practical references for enriching the methods available for preventing and treating chronic diseases.…”
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Isolation and Comprehensive Analysis of Cochlear Tissue‐Derived Small Extracellular Vesicles by Pei Jiang, Xiangyu Ma, Xinlin Wang, Jingyuan Huang, Yintao Wang, Jingru Ai, Hairong Xiao, Mingchen Dai, Yanqin Lin, Buwei Shao, Xujun Tang, Wei Tong, Zixuan Ye, Renjie Chai, Shasha Zhang

“…Currently, studies on the role of sEVs in the cochlea have relied on studying sEVs from in vitro sources. This study evaluates three cochlear tissue digestion and cochlear tissue‐derived sEV (CDsEV) isolation methods, and first proposes that the optimal approach for isolating CDsEVs using collagenase D and DNase І combined with sucrose density gradient centrifugation. …”
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Heavy metal polluted water: Effects and sustainable treatment solutions using bio-adsorbents aligned with the SDGs by Said Meftah, Khadija Meftah, Meryem Drissi, Ikram Radah, Karima Malous, Ayoub Amahrous, Ayoub Chahid, Tarik Tamri, Ayyoub Rayyad, Bouchra Darkaoui, Sanae Hanine, Oukani El-Hassan, Lahboub Bouyazza

“…It evaluates advanced removal methods, emphasizing bio-adsorbents derived from agricultural waste and plant biomass as cost-effective, sustainable, and regenerable alternatives to conventional chemical adsorbents. …”
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Transfer Learning-Based Interpretable Soil Lead Prediction in the Gejiu Mining Area, Yunnan by Ping He, Xianfeng Cheng, Xingping Wen, Yan Yi, Zailin Chen, Yu Chen

“…Accurate prediction of soil lead (Pb) content in small sample scenarios is often limited by data scarcity and variability in soil properties, with traditional spectral modeling methods yielding suboptimal precision. To address this, we propose a transfer learning-based framework integrated with SHAP analysis for predicting soil Pb content in the Gejiu mining area, Yunnan. …”
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The Heisenberg-RIXS instrument at the European XFEL by Justine Schlappa, Giacomo Ghiringhelli, Benjamin E. Van Kuiken, Martin Teichmann, Piter S. Miedema, Jan Torben Delitz, Natalia Gerasimova, Serguei Molodtsov, Luigi Adriano, Bernard Baranasic, Carsten Broers, Robert Carley, Patrick Gessler, Nahid Ghodrati, David Hickin, Le Phuong Hoang, Manuel Izquierdo, Laurent Mercadier, Giuseppe Mercurio, Sergii Parchenko, Marijan Stupar, Zhong Yin, Leonardo Martinelli, Giacomo Merzoni, Ying Ying Peng, Torben Reuss, Sreeju Sreekantan Nair Lalithambika, Simone Techert, Tim Laarmann, Simo Huotari, Christian Schroeter, Burkhard Langer, Tatjana Giessel, Jana Buchheim, Grzegorz Gwalt, Andrey Sokolov, Frank Siewert, Robby Buechner, Vinicius Vaz da Cruz, Sebastian Eckert, Chun-Yu Liu, Christian Sohrt, Christian Weniger, Annette Pietzsch, Stefan Neppl, Friedmar Senf, Andreas Scherz, Alexander Föhlisch

“…Resonant inelastic X-ray scattering (RIXS) is an ideal X-ray spectroscopy method to push the combination of energy and time resolutions to the Fourier transform ultimate limit, because it is unaffected by the core-hole lifetime energy broadening. …”
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Agronomic evaluation of hemp (Cannabis sativa L.) for cannabidiol production in Yunnan, China by Wenjing Ouyang, Jing Ou, Qi Zheng, Xiran Yang, Yuanyuan Meng, Guanghui Du, Feihu Liu, Yuewu Chen, Kailei Tang

“…Yunnan province is currently the only region in China where hemp grown for CBD production is legalized; yet information on optimal agronomic practices for maximizing CBD output in this region remains scarce.MethodsIn the present study, field experiments were conducted in Yunan over two consecutive growing seasons (2019 and 2020) to evaluate CBD productivity and variations in CBD content between female and male plants, as well as among branches along the stem, using a local dioecious hemp cultivar, Yunma #7. …”
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Spatio-temporal evolution characteristics and influencing factors of environmental welfare performance in Chinese cities by Yipeng Zhang, Meixia Wang

“…Finally, empirical testing of the factors influencing EWP is conducted using spatial econometric methods.ResultsThe overall level of EWP in 240 Chinese cities from 2004 to 2019 is relatively low, but it generally shows a wavy upward trend. …”
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Self-regulation as a context of critical thinking in cyberpolice officers by О. V. Medvedieva

“…The following methodological tools were used: test of critical thinking, methods of self-management research, methods of diagnostics of regulation focus. …”
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Research on Wellbore Trajectory Prediction Based on a Pi-GRU Model by Hanlin Liu, Yule Hu, Zhenkun Wu

“…The GRU network captures the temporal dependencies of sequence data (such as dip angle and azimuth angle), while the BP neural network extracts deep correlations from non-sequence features (such as stratum lithology), thereby achieving multi-source data fusion modeling. Orthogonal experimental design was adopted to optimize the model hyperparameters, and the ablation experiment confirmed the necessity of the parallel architecture. …”
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Charitable initiative and formation of educational environment in Russia in the second half of the 19th – early 20th centuries (by the materials of Penza province) by N.A. Koblova

“…The pur-pose of the study is to analyze charitable activities as a factor in the development of the educational environment of the Penza province in the second half of the XIX – early XX centuries. Materials and methods. The source base of the study consists of complexes of documentary evidence presented in the State Archive of the Penza Region, as well as materials from the local provincial periodical press and reporting documents of public as-sociations. …”

Results of a Prospective Study Concerning the Clinical Efficiency of Recent Russian-Made Specialized Foods without Phenylalanine by T. V. Bushueva, T. E. Borovik, K. S. Ladodo, L. M. Kuzenkova

“…Based on modern technologies, new Russian-made foods were created. They have an optimized aminoacid and micronutrient composition, which increases their bioavailability.Objective: Our aim was to investigate the clinical efficiency of the new Russian-made specialized foods based on aminoacids without phenylalanine, in patients with phenylketonuria.Methods: Evaluating physical, somatic and neuropsychic development as well as measuring phenylalanine blood level were carried out twice: before the prescription and after 1 month of using the new Russian-made specialized foods. …”
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Ensuring milk quality and safety in industrial production by D. V. Chabanenko

“…The article discusses modern methods of control and management of technological processes of high-quality milk production. …”
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The spatial glaciological data infrastructure by T. Y. Khromova, A. A. Medvedev

“…Substantial and rapid environmental changes require developing methods which could be able to manage huge information flows, to optimize processes of the data acquisition, storage, analysis, and exchange. …”
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What factors influence the willingness and intensity of regular mobile physical activity?— A machine learning analysis based on a sample of 290 cities in China by Hao Shen, Bo Shu, Jian Zhang, Yaoqian Liu, Ali Li

“…IntroductionThis study, based on Volunteered Geographic Information (VGI) and multi-source data, aims to construct an interpretable macro-scale analytical framework to explore the factors influencing urban physical activities. …”
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