Preparation, Structural Characterization and Antioxidant Activity of Carboxylated Chitosan-Pectin-based Silver Nanoparticles by Yongjin SUN, Hongjie WANG, Jing HUANG, Yunlong ZHAO, Huiying LIAO, Shuyun LIANG, Jinyuan CAI, Xia LI

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Classification of shale gas “sweet spot” based on Random Forest machine learning by NIE Yunli, GAO Guozhong

“…As a result, the proposed Random Forest machine learning method with multi-source information is an effective shale gas “sweet spot” classification and identification method.…”
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Distributed Collaborative Data Processing Framework for Unmanned Platforms Based on Federated Edge Intelligence by Siyang Liu, Nanliang Shan, Xianqiang Bao, Xinghua Xu

“…This architecture integrates federated learning for privacy protection, leverages the advantages of distributed model training, and utilizes edge computing’s near-source data processing capabilities. Additionally, this paper proposes a federated edge intelligence method (DSIA-FEI), which comprises two key components. …”
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A predictive framework using advanced machine learning approaches for measuring and analyzing the impact of synthetic agrochemicals on human health by Sahezpreet Singh, Puneet Kaur, Inderdeep Kaur, Gurpreet Singh, Satinder Kaur, Parminder Kaur

“…Furthermore, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) used for model optimization. …”
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SmartScanPCOS: A feature-driven approach to cutting-edge prediction of Polycystic Ovary Syndrome using Machine Learning and Explainable Artificial Intelligence by Umaa Mahesswari G, Uma Maheswari P

“…Moreover, to identify essential features for PCOS prediction three feature selection methods: Threshold-driven Optimized Principal Component Analysis (TOPCA), Optimized Salp Swarm (OSSM), and Threshold-driven Optimized Mutual Information Method (TOMIM) were fine-tuned through thresholding and improvisation to detect diverse attribute sets with varying numbers and combinations. …”
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Explicative Specificity of the Concept of “Coronavirus” for Children in the Framework of Medical Discourse by S. V. Kiseleva, N. A. Trophimova, Yu. S. Ananyeva, E. Yu. Skryabina

“…The purpose of this article, therefore, is to analyze and study various methods of verbalizing the renewal of knowledge about coronavirus infection through lexical units. …”
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Synovial cesys in children: clinical features, diagnostics, treatment (analytical review of the literature and own observation) by V.S. Konoplitskyi, Yu. Ye. Korobko, B.L. Pavlenko, H.M. Rudenko, O.A. Korobko, S.V. Klymenko

“…However, when choosing a method for removing a cyst, it is necessary to choose the method that causes the least harm and makes relapse as unlikely as possible. …”
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Extended-Spectrum-Beta-Lactamase (ESBL)-Producing <i>Escherichia coli</i> in Laying Hens: Slaughterhouse Prevalence and Antibiotic Resistance Patterns by Nihat Telli, Arife Ezgi Telli, Yusuf Biçer, Gamze Turkal

“…Samples were categorized into environmental sources (personnel, air, wastewater, eggs) and carcass-related sources (cloaca, carcasses at critical control points, final product). …”
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Application and prospect of artificial intelligence in empowering the operation and managment of oil and gas pipelines by Qi LIAO, Chunying LIU, Jian DU, Hao LAN, Yongtu LIANG, Haoran ZHANG

“…Conclusion Amidst the emerging wave of advancing AI technologies, the pursuit of smart operation of oil and gas pipelines mandates further explorations, including bolstering the application of various methods to integrate vast multi-source heterogeneous data, deepening research on few-shot and zero-shot learning techniques, advocating the convergence of augmented intelligence and artificial intelligence, refining the amalgamation of causal inference and machine learning, and concentrating on life-cycle management anchored in digital twin technology. …”
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Fuzzy logic-controlled three-phase dynamic voltage restorer for enhancing voltage stabilization and power quality by Abu Shufian, Sowrov Komar Shib, Durjoy Roy Dipto, Md Tanvir Rahman, Nasif Hannan, Shaikh Anowarul Fattah

“…This ensures optimal compensation and consistent voltage regulation across varying operating scenarios. …”
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Comparative chemical characters of Ziziphi Spinosae Semen from geographical origins of China by Pengwang Wang, Miao Sha, Weimei Zhang, Hongyue Tian, Xu Liang, Wei Tian, Bo Xu, Guanglu Chang, Xia Li, Wenyuan Gao

“…This study aims to identify ZSS collected from various geographical origins in China. Materials and methods. High-performance liquid chromatography (HPLC) fingerprints were established using optimized HPLC-photo-diode array methods. …”
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Negative Ion Beam Emittance Calculations by M. Turek, P. Węgierek

“…The aim of the paper was to study changes of produced beam quality (described by its emittance and brightness) with the geometry of the extraction system as well as extraction voltage.A two-dimensional Particle-in-Cell (PIC) method based code was applied to model Hions and electrons extraction from the ion source plasma chamber through the opening with bevelled surface. …”
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Dynamic Grouping Control of BESS for Remaining Useful Life Extension and Overall Energy Efficiency Improvement in Smoothing Wind Power Fluctuations by Yang Yu, Dongyang Chen, Yuwei Wu, Boxiao Wang, Yuhang Huo, Wentao Lu, Zengqiang Mi

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Construction and Application Analysis of an Intelligent Distribution Network Identification System Based on Deep Neural Networks by Yu Ma

“…This paper provides new ideas and methods for achieving intelligent distribution network topology recognition of high proportion distributed power sources. …”
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Context-dependent PSIICOS: A novel framework for functional connectivity estimation accounting for task-related power leakage by Daria Kleeva, Alexei Ossadtchi

“…Functional connectivity (FC) analysis using non-invasive neuroimaging methods, such as MEG and EEG, is often confounded by artifacts from spatial leakage and task-related power modulations. …”
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Research progress and prospects of triboelectric nanogenerator for human motion monitoring by Xiaofei Ma, Guanghui Yang, Yunfei Ma

“…Among them, sensors made from natural materials are more suitable for the field of motion monitoring in terms of the wide range of material sources, low cost, and monitoring performance. Although TENG technology has achieved good results in the application of human motion monitoring, there are still five issues worth paying attention to in future research: (1) expanding the source of materials, (2) optimizing the structural design of TENG, (3) meeting the demands of human motion monitoring, (4) taking biocompatibility as the development direction, and (5) safety and sustainability.…”
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High-resolution air quality maps for Bucharest using a mixed-effects modeling framework by C. Talianu, C. Talianu, J. Vasilescu, D. Nicolae, A. Ilie, A. Ilie, A. Dandocsi, A. Dandocsi, A. Nemuc, L. Belegante

“…Maps were generated using a mixed-effects method applied to a land-use regression (LUR) model. …”
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Nitrogen content estimation of apple trees based on simulated satellite remote sensing data by Meixuan Li, Xicun Zhu, Xicun Zhu, Xinyang Yu, Cheng Li, Dongyun Xu, Ling Wang, Dong Lv, Yuyang Ma

“…The data was resampled based on satellite sensor spectral response functions to match the band resolutions of multiple satellite sources. Correlation coefficient method and partial least squares regression were used to screen sensitive bands for apple tree nitrogen content. …”
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Evaluating chain-of-thought prompting in a GPT chatbot for BCID2 interpretation and stewardship: how does AI compare to human experts? by Daniel M. Tassone, Matthew M. Hitchcock, Connor J. Rossier, Douglas Fletcher, Julia Ye, Ian Langford, Julie Boatman, J. Daniel Markley

“…However, accurate interpretation and antimicrobial optimization require Infectious Disease (ID) expertise, which may not always be readily available. …”
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Simulation Research on Thermal Characteristics and Experimental Study on Electronic Control Board of the Miniature High-Speed Digital Valve by Meisheng Yang

“…In this study, the dimension of an electromagnetic structure is normalized into a unified variable, and the numerical analysis method is used to optimize the values of each parameter size on the premise of satisfying the requirements. …”
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