Antimicrobial Effects of Kelisha Capsule on Escherichia coli Induced Diarrhea in Mice by Shi G, Lu X, Wang G, Qian K, Peng X, Zhu Y, Wu J, Ke H, Chen L, Zheng Y, Yang T, Shi X, Huang P

“…Furthermore, immunofluorescence staining was conducted to identify tight junction proteins in the small intestinal tissue. …”
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Revealing the role of natural killer cells in ankylosing spondylitis: identifying diagnostic biomarkers and therapeutic targets by Yuling Chen, Yan Li, Yuan Xu, Qing Lv, Yuanchun Ye, Jieruo Gu

“…Weighted gene co-expression network analysis (WGCNA) was conducted to identify key modules of co-expressed genes and genes involved in NK cell function. …”
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Rhizoma Atractylodis Macrocephalae reduces HFD-induced MAFLD in mice through activated AMPK-mediated inhibition of fatty acid synthesis by Ke Zheng, Ruishuo Zhang, Yijing Xin, Yuge Zhou, Jiacheng Lin, Weifan Huang, Fang Wang, Liu Yang, Xuehua Sun, Xiaoni Kong

“…Therefore, this study was conducted to evaluate the function and underlying mechanism of RAM in the treatment of MAFLD. …”
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Identification of osteoarthritis-associated chondrocyte subpopulations and key gene-regulating drugs based on multi-omics analysis by Ting Hao, Zhiwei Pei, Sile Hu, Zhenqun Zhao, Wanxiong He, Jing Wang, Liuchang Jiang, jirigala Ariben, Lina Wu, Xiaolong Yang, Leipeng Wang, Yonggang Wu, Xiaofeng Chen, Qiang Li, Haobo Yang, Siqin Li, Xing Wang, Mingqi Sun, Baoxin Zhang

“…Cell communication and pseudo-temporal analysis, as well as High-dimensional Weighted Gene Co-expression Network Analysis (hdWGCNA), were conducted on the single-cell data to identify key chondrocyte subtypes and module genes. …”
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Age-dependent cortical overconnectivity in Shank3 mice is reversed by anesthesia by Elena Montagni, Manuel Ambrosone, Alessandra Martello, Lorenzo Curti, Federica Polverini, Laura Baroncelli, Guido Mannaioni, Francesco Saverio Pavone, Alessio Masi, Anna Letizia Allegra Mascaro

“…As a result, studies on Functional Connectivity (FC) have become pivotal for understanding the large-scale network alterations associated with ASD. …”
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Methods for Building Successful chatbot Communication in the Discourse of Sales in the Field of Digital Goods (Mobile Phones) on the Example of English and Russian Language Materia... by A. A. Smirnova

“…By creating new features and rules of speech interaction in various types of network discourse, the problems of achieving the success of speech acts built through chatbots remain ineradicable. …”
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Critical Component Overheating Monitoring Algorithm Integrating Temperature-sensing Patches and Computer Vision Trains by SHU Dong, ZHANG Beijia, YANG Hongtai

“…A main-boundary separation module is embedded in the U-Net++ network architecture, and corresponding boundary supervision terms are added to the loss function, so that boundary segmentation performance could be enhanced and segmentation precision of temperature-sensing patches in the image be improved. …”
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Lactate-associated gene MCU promotes the proliferation, migration, and invasion of pancreatic ductal adenocarcinoma by Yuhang Chen, Fenglin Zhang, Suoyi Dai, Jiangang Zhao, Wenxun Cai, Ke Zhang, Xinghe Liao, Lianyu Chen

“…Functional enrichment and gene set enrichment analysis (GSEA) analyses were conducted to explore pathways. …”
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Pharmacological treatment for connective tissue disease-associated interstitial lung involvement: Protocol for an overview of systematic reviews and meta-analyses. by Fotini B Karassa, Konstantinos I Bougioukas, Eleftherios Pelechas, Anastasia Skalkou, Evangelia Argyriou, Anna-Bettina Haidich

“…If feasible, given sufficient data, network meta-analysis will be conducted to combine direct and indirect evidence of class and agent comparisons.…”
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Software Package for Remote Diagnostics of Agricultural Machinery Condition by M. N. Kostomakhin, E. V. Pestryakov

“…It was found that the neural network created by the employees of the Federal Scientific Agroengineering Center VIM has more functional options, for example, it is able to work directly with devices and conduct a more detailed technical analysis. …”
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Application of quasi-oppositional driving training-based optimization for a feasible optimal power flow solution of renewable power systems with a unified power flow controller by Tushnik Sarkar, Chandan Paul, Susanta Dutta, Provas Kumar Roy, Ghanshyam G. Tejani, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…The first one is the traditional IEEE 57 bus network; the IEEE 57 bus with renewable energy sources (RESs) (i.e., solar and wind units) is chosen in the second one, and the third one considers the IEEE 57 bus with RESs and unified power flow controller (UPFC) and finally the IEEE 118 bus network with RESs and UPFC. …”
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Whole-transcriptome sequencing reveals the effects of acupuncture on early embryos post-IVF-ET in poor ovarian response by Jianheng Hao, Yuemeng Zhao, Xuan Liu, Huichao Xu, Liying Liu, Haijun Wang, Ying Lan, Laixi Ji

“…The circ/lncRNA-miRNA-mRNA network was constructed to analyze the biological functions and potential mechanisms of acupuncture on early embryo development post-IVF-ET in POR mice. …”
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The Influence of the Plant Biomass Pyrolysis Conditions on the Structure of Biochars and Sorption Properties by Bernadetta Kaźmierczak, Jolanta Drabik, Paweł Radulski, Anna Kaczmarczyk, Edyta Osuch-Słomka

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MXene-Based Gas Sensors for NH₃ Detection: Recent Developments and Applications by Yiyang Xu, Yinglin Wang, Zhaohui Lei, Chen Wang, Xiangli Meng, Pengfei Cheng

“…The strategies for designing MXene composites, including heterojunction engineering, surface functionalization, and active sites, are introduced, and their roles in improving sensing performance are clarified. …”
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Cohort profile: social well-being and determinants of health study (SWADES), Kerala, India by Saju M D, Lovakanth Nukala, Rameela Shekhar, Keith Gomez, Bindiya M Varghese, Anuja Maria Benny, Lorane Scaria, Sphoorthi Prabhu, Amuthavalli Thiyagarajan Jotheeswaran

“…Objective data for hypertension, diabetes and cognitive function were also collected.Future plans The first annual follow-up interviews were completed in 2019; the subsequent annual follow-up will be conducted until 2030. …”
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Unsupervised Anomaly Detection with Continuous-Time Model for Pig Farm Environmental Data by Heng Zhou, Seyeon Chung, Malik Muhammad Waqar, Muhammad Ibrahim Zain Ul Abideen, Arsalan Ahmad, Muhammad Ans Ilyas, Hyongsuk Kim, Sangcheol Kim

“…The model is trained in a self-supervised manner and optimized using a reconstruction-based loss function. Extensive experiments are conducted on a multivariate multi-sequence dataset collected from real-world pig farming environments. …”
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Identification of immune characteristic biomarkers and therapeutic targets in cuproptosis for rheumatoid arthritis by integrated bioinformatics analysis and single-cell RNA sequenc... by Xianbin Li, Xianbin Li, Xianbin Li, Xueli Zhang, Tao Liu, Guodao Zhang, Dan Chen, Suxian Lin

“…Through comprehensive functional enrichment and protein-protein interaction (PPI) network analysis, we explored the functional roles of the DE-CRGs. …”
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Advanced Mineral Deposit Mapping via Deep Learning and SVM Integration With Remote Sensing Imaging Data by Nazir Jan, Nasru Minallah, Madiha Sher, Muhammad Wasim, Shahid Khan, Amal Al‐Rasheed, Hazrat Ali

“…In our approach, CNN layers function as feature extractors while the SVM serves as the classification model. …”
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A Collaborative Multi-Agent Reinforcement Learning Approach for Non-Stationary Environments with Unknown Change Points by Suyu Wang, Quan Yue, Zhenlei Xu, Peihong Qiao, Zhentao Lyu, Feng Gao

“…We propose a novel cooperative Multi-Agent Reinforcement Learning (MARL) algorithm based on MADDPG, termed MACPH, which innovatively incorporates three mechanisms: a Composite Experience Replay Buffer (CERB) mechanism that balances recent and important historical experiences through a dual-buffer structure and mixed sampling; an Adaptive Parameter Space Noise (APSN) mechanism that perturbs actor network parameters and dynamically adjusts the perturbation intensity to achieve coherent and state-dependent exploration; and a Huber loss function mechanism to mitigate the impact of outliers in Temporal Difference errors and enhance training stability. …”
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Explainable Deep Multilevel Attention Learning for Predicting Protein Carbonylation Sites by Jian Zhang, Jingjing Qian, Pei Wang, Xuan Liu, Fuhao Zhang, Haiting Chai, Quan Zou

“…SCANS employs a multilevel attention strategy to capture both local (segment‐level) and global (protein‐level) features, utilizes a tailored loss function to penalize cross‐predictions (residue‐level), and applies transfer learning to augment the specificity of the overall network by leveraging knowledge from pretrained model. …”
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