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 Future of Pathogen Detection in Aquaculture: Miniature Labs, Field‐Compatible Assays, environmental DNA and RNA, CRISPR and Metatranscriptomics by Jessica Rieder, Anastasiia Berezenko, Alexandra Meziti, Irene Adrian‐Kalchhauser

“…ABSTRACT Inland recirculating aquaculture is a thriving food industry providing sustainable and locally sourced high‐quality protein. However, its expansion is accompanied by emerging challenges regarding the spread of pathogens and diseases. …”
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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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Mapping and Spatial Analysis of the Development of the Administrative Borders of Stavropol Region in 1785–2021 by Igor Yurievich Katorgin, Alexander Nikolaevich Roman

“…Geoinformation technologies allow processing, spatial coordination of digitized old maps with optimal accuracy, creation of thematic layers necessary for spatial analysis and visualization of the results of work in the form of a series of maps displaying the ATD of the Stavropol region for different periods of development history.Materials and research methods. …”
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Parents’ Perceptions of Suicide and Requests for Increased Awareness in Prevention of Children’s Suicidal Behavior by Svetlana V. Knizhnikova

“…This serves as the primary objective of the study. Materials and Methods. A survey was conducted embracing 3,866 parents and containing 85 questions testing parents’ perceptions on suicide determinants, behavioral risk signals, understanding of response methods to avert suicidal behaviors in children, and identification of challenges and requests within suicide prevention and intervention. …”
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The Implementation and Application of a Saudi Voxel-Based Anthropomorphic Phantom in OpenMC for Radiological Imaging and Dosimetry by Ali A. A. Alghamdi

“…OpenMC’s Python (version 3.10.14) interface and open-source nature make it a promising tool for radiological research. …”
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Comparative Analysis of Control Strategies for Microgrid Energy Management with a Focus on Reinforcement Learning by Parisa Mohammadi, Razieh Darshi, Saeed Shamaghdari, Pierluigi Siano

“…This transformation necessitates advanced energy management strategies in microgrids to integrate renewable energy sources efficiently. Traditional methods, including classical, metaheuristic, model predictive, stochastic, and robust control techniques, have been extensively studied. …”
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Client Selection in Federated Learning on Resource-Constrained Devices: A Game Theory Approach by Zohra Dakhia, Massimo Merenda

“…Federated Learning (FL), a key paradigm in privacy-preserving and distributed machine learning (ML), enables collaborative model training across decentralized data sources without requiring raw data exchange. FL enables collaborative model training across decentralized data sources while preserving privacy. …”
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Origin Traceability of Chinese Mitten Crab (<i>Eriocheir sinensis</i>) Using Multi-Stable Isotopes and Explainable Machine Learning by Danhe Wang, Chunxia Yao, Yangyang Lu, Di Huang, Yameng Li, Xugan Wu, Weiguo Song, Qinxiong Rao

“…The Chinese mitten crab (<i>Eriocheir sinensis</i>) industry is currently facing the challenges of origin fraud, as well as a lack of precision and interpretability of existing traceability methods. Here, we propose a high-precision origin traceability method based on a combination of stable isotope analysis and interpretable machine learning. …”
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Synthesis of graphitic carbon from empty palm oil fruit bunches through single-step graphitization process using K2FeO4-KOH catalyst as lithium ion battery anode by Isnanda Nuriskasari, Anne Zulfia Syahrial, Tribidasari A. Ivandini, Afriyanti Sumboja, Bambang Priyono, Qingyu Yan, Fredina Destyorini, Slamet Priyono

“…This research aims to optimize the graphitization process of carbon derived from Empty Palm Oil Fruit Bunches (EPOFB), a renewable biomass source, using a single-step K₂FeO₄-KOH impregnation-activation method. …”
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Flue Gas Temperature Distribution as a Function of Air Management in a High-Temperature Biomass Burner by Aleksandra Dzido, Michalina Kurkus-Gruszecka, Marcin Wilczyński, Piotr Krawczyk

“…Nowadays, as a result of the increasing awareness of European societies and new legal regulations, the role of renewable energy sources in individual heating is growing. One of the forms of renewable heat and electricity production is the use of biomass pellet burners coupled with Stirling engines. …”
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Advances and developments in high strength geopolymer concrete for sustainable construction – A review by V.S. Sujitha, S. Raja, Maher Ali Rusho, Simon Yishak

“…The development and optimization of geopolymer concrete mixtures were discussed, focusing on the selection of raw materials, activators, and curing methods to achieve high-strength characteristics. …”
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Assessment of textile sludge pyrolysis behaviour through advance predictive models for bioenergy production by Arslan Khan, Asif Hussain Khoja, Salman Raza Naqvi, Waheed Miran, Imtiaz Ali

“…The kinetic study complemented was isoconversional method which includes both differential and integral (Friedman, Ozawa-Flynn-Wall &amp; Kissinger-Akahira-Sunose) method. …”
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Enhancing agricultural waste bioconversion by Black Soldier Fly larvae through wheat bran supplementation by Zahra Raeiszadeh, Kamal Ahmadi, Mahdieh Asadi

“…Insect-based bioconversion, specifically using Hermetia illucens (Black Soldier Fly, BSF), offers an effective method for converting organic waste into protein-rich biomass. …”
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Advancements in image classification for environmental monitoring using AI by Jinjing Zhu, Ling Li

“…Future research directions include optimizing computational efficiency for deployment in edge computing and resource-constrained environments, as well as extending the framework to multimodal environmental data sources, such as hyperspectral imagery and sensor networks.…”
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Interpretable Prediction of a Decentralized Smart Grid Based on Machine Learning and Explainable Artificial Intelligence by Ahmet Cifci

“…Ensuring the stability and reliability of the grid, particularly with the integration of renewable energy sources and the increase in the number of prosumers, is a primary challenge in this domain. …”
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A Province-Wide Home Dialysis Program Review: Challenges, Strengths, and Future Strategies by Megan Borkum, Micheli Bevilacqua, Alexandra Romann, Krishna Poinen, Sushila Saunders, Linda Turnbull, R. Suneet Singh, Adeera Levin, Michael A. Copland

“…Sources of information: This review draws on published articles, program reports, and insights from the provincial kidney care program framework. …”
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