Identification and validation of key biomarkers associated with immune and oxidative stress for preeclampsia by WGCNA and machine learning by Tiantian Yu, Tiantian Yu, Tiantian Yu, Guiying Wang, Guiying Wang, Guiying Wang, Xia Xu, Xia Xu, Xia Xu, Jianying Yan, Jianying Yan, Jianying Yan

“…This involved integrating WGCNA, GO and KEGG pathway analyses, constructing PPI networks, applying machine learning algorithms, performing gene GSEA, and conducting immune infiltration analysis to identify the key hub genes related to oxidative stress. …”
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Effects of Increasing Temperature on Bacterial Community Diversity in Mixed Stands of <i>Artemisia argyi</i> and <i>Solidago canadensis</i> in Eastern China by Haochen Yu, Guangqian Ren, Zhiyun Huang, Shanshan Qi, Biying Zhao, Xue Fan, Zhaoqi Zhu, Zhicong Dai, Daolin Du

“…However, further warming disrupts these networks by eliminating key generalists, revealing a potential reduction in network stability and diversity. These findings illuminate the dynamic responses of microbes in <i>S. canadensis</i> invasion community soil to varying temperature regimes, suggesting a model for successional dynamics and offering a deeper comprehension of microbial community shifts amid climatic fluctuations. …”
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Mapping and quantifying deforestation in the Zambezi ecoregion of Central-Southern Africa: extent and spatial structure by Héritier Khoji Muteya, Héritier Khoji Muteya, Dieu-donné N’tambwe Nghonda, Dieu-donné N’tambwe Nghonda, François Malaisse, Jan Bogaert, Yannick Useni Sikuzani

“…Forest cover was classified using the Random Forest algorithm, integrated with Geographic Information Systems (GIS) and landscape metrics to assess patterns of forest fragmentation and ecological transformation.ResultThe results showed a significant reduction in forest area from 2,328,377.5 km2 to 1,817,513 km2, corresponding to an annual deforestation rate of 0.95%. …”
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Lightweight grading segmentation network for powdery mildew based on model pruning and knowledge distillation by Yuheng Li, Lisha Ye, Yu Zhang, Lijuan Zhou, Qian Chen

“…Finally, we propose an automatic grading algorithm based on the segmentation masks to provide actionable disease severity levels. …”
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Global trends in machine learning applications for single-cell transcriptomics research by Xinyu Liu, Zhen Zhang, Chao Tan, Yinquan Ai, Hao Liu, Yuan Li, Jin Yang, Yongyan Song

“…Research hotspots concentrated on random forest (RF) and deep learning models, showing transition from algorithm development to clinical applications (e.g., tumor immune microenvironment analysis). …”
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Optimized Spectral and Spatial Design of High-Uniformity and Energy-Efficient LED Lighting for Italian Lettuce Cultivation in Miniature Plant Factories by Zihan Wang, Haitong Huang, Mingming Shi, Yuheng Xiong, Jiang Wang, Yilin Wang, Jun Zou

“…To address spatial light heterogeneity, a particle swarm optimization (PSO) algorithm was employed to determine the optimal LED arrangement, which increased the photosynthetic photon flux density (PPFD) uniformity from 83% to 93%. …”
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Trade-Offs Between Simplifying Inertial Measurement Unit–Based Movement Recordings and the Attainability of Different Levels of Analyses: Systematic Assessment of Method Variations... by Manu Airaksinen, Okko Räsänen, Sampsa Vanhatalo

“…The IMU data can be used for an algorithmic detection of different postures and movements, which may support more detailed assessments of complex behaviors, such as daily activities. …”
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Optimization of Third Rail End Elbow Based on NURBS by RUAN Jie, ZHONG Zhuolin, WANG Bingqin, LI Hongmei, XU Hongyan, YAN Xiaohui

“…Based on NSGA-II (Non-dominated Sorting Genetic Algorithm II), a multi-objective optimization model of the curved end elbow is established, and the optimal solution is selected through the non-dominated sorting method and the min-max regret value method. …”
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Study on water quality analysis and early-warning technology based on rough set and evidence theory by ZHU Qiong-yao, ZHANG Guang-xin, FENG Tian-heng, HUANG Ping-jie, HOU Di-bo

“…Aiming to treat these problems, a new method for a water monitoring system is needed to study on.In this study, the rough set and Dempster-Shafer (D-S) evidence theories were researched, and the water quality analysis and early-warning algorithm based on rough set and D-S evidence theories were presented. …”
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Vulnerability assessment for reducing risk of environmental hazards based on ecosystem services: Case of Alborz Province by Naser Moghadasi, Sharareh Pourebrahim, Hosein Azarnivand

“…Alborz Province suffers from various risks for which applying environmental services, such as conservation of soil nutrients, biodiversity and diverse vegetation of land, can be effective in their reduction.  Conclusion: Environmental risks are major threats to the degradation of resources and environmental services in Alborz Province which should be controlled and prevented. …”
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Sparse Feature-Weighted Double Laplacian Rank Constraint Non-Negative Matrix Factorization for Image Clustering by Hu Ma, Ziping Ma, Huirong Li, Jingyu Wang

“…We also propose an efficient alternating iterative update algorithm to optimize the proposed model and provide a theoretical analysis of its performance. …”
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Integrin factor (FAM27E3), as a metastatic marker of papillary thyroid carcinoma, through the p53 signaling pathway promoting lymph node metastasis by Dong Zhang, Kai-Fang Xiang, Chen-Chen Hong, Xiao-Ping Bao, Yan Wu, Rui Wu

“…A high expression of FAM27E3 indicated a reduction in the overall macrophage levels. FAM27E3 exhibited high expression in PTC cell lines, and its downregulation suppressed cell proliferation, migration, and invasion. …”
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Distributionally robust hybrid energy management in smart mining using process-coupled primal-dual mirror descent by Dawei Wang, Yifei Li, Cheng Gong, Tianle Li, Fang Wang, Shanna Luo, Jun Li

“…Numerical results indicate a 25.4% reduction in operational costs, a 31.2% cut in carbon emissions, and consistent adherence to safety constraints within a 3% tolerance under all uncertainty scenarios. …”
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Conventional scan body vs. scan bodies with auxiliary geometric devices: an in vitro study for edentulous full-arch implant impressions by Francesco Gianfreda, Carlo Raffone, Mirko Martelli, Alberto Pitino, Vito Carlo Alberto Caponio, Patrizio Bollero

“…Data were processed using Exocad and GOM Inspect Professional software, aligning scan body library files with mesh data using a best-fit algorithm. Angular, platform, and total deviations were calculated to assess positional trueness. …”
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Simple Yet Powerful: Machine Learning-Based IoT Intrusion System With Smart Preprocessing and Feature Generation Rivals Deep Learning by Kazim Kivanc Eren, Kerem Kucuk, Fatih Ozyurt, Omar H. Alhazmi

“…Here we propose a classical machine learning system, built around a Random Forest classifier paired with a novel feature extraction algorithm adapted from Explainable Boosted Linear Regression (EBLR). …”
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Design and Experiment of DEM-Based Layered Cutting–Throwing Perimeter Drainage Ditcher for Rapeseed Fields by Xiaohu Jiang, Zijian Kang, Mingliang Wu, Zhihao Zhao, Zhuo Peng, Yiti Ouyang, Haifeng Luo, Wei Quan

“…Box–Behnken experiments and genetic algorithm optimization determined the optimal parameters: inner blade width: 200 mm; outer blade width: 300 mm; blade group distance: 200 mm; and blade opening: 586 mm, yielding a simulated power consumption of 27.07 kW. …”
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Reinforcement Learning With Deep Features: A Dynamic Approach for Intrusion Detection in IoT Networks by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

“…The extracted feature sets were concatenated within a feature fusion layer that enabled efficient dimensionality reduction via principal component analysis. A hybrid optimization approach was also introduced for feature selection using green anaconda optimization and the chaotic learning osprey optimization algorithm. …”
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A METHODOLOGICAL APPROACH TO DESIGNING EXPERIMENTS WHEN DEALING WITH IDENTIFICATION TESTS FOR MEDICINAL PRODUCT COMPONENTS (AS ILLUSTRATED BY ASCORBIC ACID) by Yu. B. Purim, M. L. Kruglyakova, L. N. Bulanova, M. V. Agapkina, L. N. Stronova, T. N. Bokovikova, E. P. Gernikova

“…Conclusions: the analysis of the multi-component medicinal product helped to develop a methodological  approach to choosing qualitative reactions for identification testing of one of the medicinal product’s components  (e.g., ascorbic acid). The suggested algorithm includes the choice of reactions, determination of their sensitivity and applicability for a particular medicinal product, analysis of the other components’ effects on the results of the chemical reaction,  and the need for additional sample preparation.  …”
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A Cross-Sectional Analysis of Oil Pulling on YouTube Shorts by Jun Yaung, Sun Ha Park, Shahed Al Khalifah

“…While some benefits like halitosis reduction may have limited support, exaggerated or misleading claims may result in improper oral hygiene practices. …”
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Increasing comprehensiveness and reducing workload in a systematic review of complex interventions using automated machine learning by Olalekan A Uthman, Rachel Court, Jodie Enderby, Lena Al-Khudairy, Chidozie Nduka, Hema Mistry, GJ Melendez-Torres, Sian Taylor-Phillips, Aileen Clarke

“…The best-performing model was parallel CNN, yielding a 96.4% recall, as well as 99.1% precision, and a potential workload reduction of 89.9%. Future work and limitations We used words from the title and the abstract only. …”
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