Incorporating stand parameters in nonlinear height-diameter mixed-effects model for uneven-aged Larix gmelinii forests by Muhammad Junaid Ismail, Tika Ram Poudel, Akber Ali, Lingbo Dong

“…The dataset consisted of 7,069 Larix gmelinii trees sampled from 96 plots at Northeast China, encompassing a wide range of stand densities, age classes, and site conditions. …”
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Optimizing IoT intrusion detection with cosine similarity based dataset balancing and hybrid deep learning by Arvind Prasad, Wael Mohammad Alenazy, Naved Ahmad, Gauhar Ali, Hanaa A. Abdallah, Sadique Ahmad

“…To address this issue, this work introduces CSMCR (Cosine Similarity-based Majority Class Reduction), a novel technique that selectively removes redundant majority-class samples while preserving dataset integrity. Unlike traditional approaches like SMOTE (oversampling) or random undersampling, CSMCR ensures that the retained majority instances remain diverse by analyzing feature-wise similarity. …”
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Multi-Omics Identification of <i>Fos</i> as a Central Regulator in Skeletal Muscle Adaptation to Long-Term Aerobic Exercise by Chaoyang Li, Xinyuan Zhu, Yi Yan

“…Key feature genes were screened using Lasso regression, SVM-RFE, and Random Forest machine learning algorithms, validated by RT-qPCR, and refined through PPI network analysis. …”
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Soil Properties and Rhizosphere Microbes Community Structure Reveal Nitrogen Uptake Preferences and Nitrogen Use Efficiency of Two Ecotypes of <i>Paphiopedilum micranthum</i> by Yin Li, Jiaxue Hu, Yuehong Ruan, Qian Wu, Yan Yue, Zongyan Li

“…Whether the distribution of rhizosphere bacteria and fungi in these different habitats is random or reflects soil preferences requires further investigation. …”
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Bacteriological quality of drinking water and its associated factors in Ethiopia: A systematic review and meta-analysis. by Chala Daba, Leykun Berhanu, Belay Desye, Gete Berihun, Abebe Kassa Geto

“…<h4>Results</h4>A total of 26 studies involving 7,962 water samples met the eligibility criteria for meta-analysis. …”
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Prevalence and antimicrobial resistance patterns of nontyphoidal Salmonella in Ghana: a systematic review and meta-analysis by Patience Sarkodie-Addo, Bill Clinton Aglomasa, Eric S. Donkor

“…Several AMR genes including gyrA, gyrB, qnrB2, and qnrB19 were identified in human and food samples. Conclusion Despite ongoing interventions, NTS remains a significant public health challenge in Ghana, with high AMR levels. …”
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Dynamic observation of upper airways colonization in a cystic fibrosis patient infected with <i>Roseomonas aerofrigidens</i> under targeted therapy by E. D. Dzhovmardova, M. V. Sergeeva, O. V. Kondratenko, I. V. Zalevskiy, T. R. Nikitina

“…The remaining species belong to random microbiota. Based on the Jaccard coefficient, it was found that four pairs of microorganisms are characterized by a synergistic nature of the relationship. …”
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Characterisation of Clostridium difficile hospital ward-based transmission using extensive epidemiological data and molecular typing. by A Sarah Walker, David W Eyre, David H Wyllie, Kate E Dingle, Rosalind M Harding, Lily O'Connor, David Griffiths, Ali Vaughan, John Finney, Mark H Wilcox, Derrick W Crook, Tim E A Peto

“…<h4>Methods and findings</h4>All C. difficile toxin enzyme-immunoassay-positive and culture-positive samples over 2.5 y from a geographically defined population of ~600,000 persons underwent MLST. …”
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Mapping Soil Organic Matter in Black Soil Cropland Areas Using Remote Sensing and Environmental Covariates by Yu Zhang, Chong Luo, Wenqi Zhang, Zexin Wu, Deqiang Zang

“…Then, the SOM prediction model was constructed using random forest regression method and the accuracy of different strategies was evaluated by 10-fold cross-validation. …”
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Comparison of different inspiratory triggering settings in automated ventilators during cardiopulmonary resuscitation in a porcine model. by Dingyu Tan, Jun Xu, Shihuan Shao, Yangyang Fu, Feng Sun, Yazhi Zhang, Yingying Hu, Joseph Walline, Huadong Zhu, Xuezhong Yu

“…Blood gas samples, respiratory and hemodynamic parameters for each period were all collected and analyzed.…”
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A meta-analysis of the efficacy of physical exercise interventions on activities of daily living in patients with Alzheimer's disease by Yang Xiao, Yu Fan, Zhengteng Feng

“…Egger's test did not reveal significant publication bias (p = 0.145). Samples were divided into different subgroups based on intervention content, duration, frequency, and session length. …”
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Giant Chemo-Resistive Response of POSS Nano-Spacers in PS- and PMMA-Based Quantum Resistive Vapour Sensors (vQRS) Used for Cancer Biomarker Analysis by Abhishek Sachan, Mickaël Castro, Veena Choudhary, Jean-François Feller

“…The detection of volatile organic compound (VOC) biomarkers from the volatolome for the anticipated diagnosis of severe diseases such as cancers is made difficult due to the presence of high quantities of H₂O in the collected samples. It has been shown that water molecules tend to compete or combine themselves with analytes, which requires either their removal or the development of more sensitive and discriminant sensors. …”
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Association of sleep duration and quality with blood lipids: a systematic review and meta-analysis of prospective studies by Johanna M Geleijnse, Francesco P Cappuccio, Michelle A Miller, Chen Ji, Marlot Kruisbrink, Wendy Robertson

“…Relative risks (95% CIs) were extracted and pooled using a random effects model. Subgroup analyses by lipid type were performed. …”
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Identification of Exosome-Associated Biomarkers in Diabetic Foot Ulcers: A Bioinformatics Analysis and Experimental Validation by Tianbo Li, Lei Gao, Jiangning Wang

“…Support vector machine–recursive feature elimination (SVM-RFE) and the Boruta random forest algorithm distilled five biomarkers (DIS3L, EXOSC7, SDC1, STX11, SYT17). …”
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Estimation of Soil Salinity by Combining Spectral and Texture Information from UAV Multispectral Images in the Tarim River Basin, China by Jiaxiang Zhai, Nan Wang, Bifeng Hu, Jianwen Han, Chunhui Feng, Jie Peng, Defang Luo, Zhou Shi

“…The effectiveness of the proposed method is confirmed through the utilization of 240 surface soil samples gathered from an arid region in northwest China, specifically in Xinjiang, characterized by sparse vegetation. …”
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Psychological impact of the 2023 Kahramanmaraş earthquakes: a systematic review and meta-analysis of PTSD, depression, and anxiety among Turkish adults by Metin Çınaroğlu, Eda Yılmazer, Esra Noyan Ahlatcıoğlu, Selami Varol Ülker, Gökben Hızlı Sayar

“…Eligible studies included quantitative assessments of PTSD, depression, or anxiety using validated Turkish-language scales, with general adult population samples (N ≥ 370). Eight studies (N = 5,965) met inclusion criteria. …”
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HafsAuga MobileEM: mobile electronic monitoring for fisheries management and research by Lachlan Fetterplace, Emilia Benavente Norrman, Kristin Öhman, Filip Bohlin, Lisa Sörman, Daniel Rooth, Peter Ljungberg, Sara Königson

“…This system is ideal for use in small-scale fisheries and also well-suited to situations where fleets need to be randomly sampled by quickly moving EM systems between vessels.Here, we describe the HafsAuga MobileEM system and outline its use in Sweden, where it has been in use since 2020. …”
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Genetic diversity and antifungal resistance in Candida albicans from VVC cases in Indian women by Binaya Krushna Sahu, Utkalika Mallick, Rashmi Hegde, Jyotirmayee Turuk, Mahesh Chandra Sahu, Sujogya Kumar Panda

“…Method A total of 170 vaginal swab samples were collected from Indian women attending the obstetrics and gynecology departments at IMS SUM Hospital and Kalinga Hospital, Odisha, India. …”
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Machine Learning-Driven Identification of Exosome-Related Genes in Head and Neck Squamous Cell Carcinoma for Prognostic Evaluation and Drug Response Prediction by Hua Cai, Liuqing Zhou, Yao Hu, Tao Zhou

“…<b>Methods</b>: The GeneCards database was used to find genes related to exosomes, and samples were categorized into groups with high and low expression levels based on these feature genes. …”
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A Learning-Based Dual-Scale Enhanced Confidence for DSM Fusion in 3-D Reconstruction of Multiview Satellite Images by Shuting Yang, Hao Chen, Fachuan He, Wen Chen, Ting Chen, Jianjun He

“…Deep-learning-based multiview stereo (MVS) methods are primarily applicable to tristereo data captured simultaneously and rely heavily on training samples. Traditional MVS methods typically rely on simple filtering and weighting techniques for digital surface model (DSM) fusion based on image pair selection and pairwise stereo matching, which are usually affected by poor image pairs and fail to fully exploit the complementary advantages of DSMs. …”
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