Microglial clock dysfunction during neuroinflammation impairs oligodendrocyte progenitor cell recruitment and disrupts neuroimmune homeostasis by Qingqing Lu, Qingqing Lu, Jin Young Kim, Jin Young Kim

“…Although time-of-day–dependent variation in microglial immune activity has been reported, how intrinsic microglial clocks respond to neuroinflammatory stimuli and influence microglial function remains unclear.MethodsWe induced neuroinflammation via intraperitoneal injection of lipopolysaccharide (LPS) and isolated microglia from control and LPS-treated mouse brains. …”
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Specific gut microbiota and serum metabolite changes in patients with osteoarthritis by Wendong Wang, Xincheng Liu, Hao Nan, Huan Li, Litao Yan

“…Fecal and blood samples were collected for 16S rRNA gene sequencing, metabolomic analysis via liquid chromatography–mass spectrometry (LC-MS), and integrated evaluation.ResultsThe results showed no significant variation in gut microbiota richness and diversity between the two groups. …”
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Dynamic Response Prediction of Railway Bridges Considering Train Load Duration Using the Deep LSTM Network by Sui Tan, Xiandong Ke, Zhenhao Pang, Jianxiao Mao

“…Traditionally, finite element analysis methods with high computational burden are used to predict the train-induced responses according to the given train loads and, hence, cannot easily be integrated as an available structural-health-monitoring strategy. …”
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A Deep Learning-Based Solution to the Class Imbalance Problem in High-Resolution Land Cover Classification by Pengdi Chen, Yong Liu, Yuanrui Ren, Baoan Zhang, Yuan Zhao

“…The proposed model achieves the highest mF1 scores of 92.25% and 89.88%, along with the lowest CV values of 0.0445 and 0.0574, respectively, outperforming state-of-the-art methods. These innovations underscore the potential of HRUMamba in advancing high-resolution land cover classification in imbalanced datasets.…”
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Rapid and Accurate Measurement of Major Soybean Components Using Near-Infrared Spectroscopy by Chenxiao Li, Jiatong Yu, Sheng Wang, Qinglong Zhao, Qian Song, Yanlei Xu

“…Specifically, the SPASNV + D₁–RF combination achieved an RPD of 14.7 for moisture, CARS–SNV + D₁–RF reached 5.9 for protein, and CARS–SG + D₂–RF attained 12.0 for fat, all significantly surpassing alternative methods and demonstrating a strong nonlinear learning capacity and predictive precision. …”
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Identification of necroptosis & mitophagy-related key genes and their prognostic value in colorectal cancer by Xiuling Zhang, Li Meng, Tingjian Zu, Qian Zhou

“…Abstract Background Our study aimed to elucidate the potential necroptotic&mitophagy-related key genes in colorectal cancer (COAD) by bioinformatics analysis and identify their prognostic value in COAD. Methods Firstly, we integrated the cancer genome atlas (TCGA) and gene expression omnibus (GEO) datasets to identify necroptosis & mitophagy-related differentially expressed genes (N&MRDEGs) in COAD using “TCGAbiolinks” and “GEOquery” packages. …”
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Moisture prediction in chicken litter using hyperspectral data and machine learning by Ahmad Tulsi, Abdul Momin, Victoria Ayres

“…Efficient moisture monitoring in chicken litter is essential for sustainable poultry waste management and its application as an organic fertilizer. Conventional methods like oven drying are destructive, time-consuming, and unsuitable for real-time assessment. …”
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Spatiotemporal changes in river network connectivity in the Nile River Basin due to hydropower dams. by Anthony Basooma, Astrid Schmidt-Kloiber, Rose Basooma, Herbert Nakiyende, Johannes Kowal, Andrea Funk, Thomas Hein, Florian Borgwardt

“…We also recommend regular monitoring of barrier impacts by integrating safe, cost-effective methods such as remote sensing and environmental DNA (eDNA) to assess both flora (macrophytes, phytoplankton) and fauna (macroinvertebrates, fish, zooplankton).…”
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Tolerating bad health research (part 2): still as many bad trials, but more good ones too by Anna Daly, Shaun Treweek, Genevieve Shiely Hayes, Frances Shiely

“…The purpose of our current study is to reassess the risk of bias of a cohort of Cochrane reviewed trials to see if our reassessment differs from the original Cochrane assessment and to determine whether the funder, having methodological support, or involving a statistician affected the risk of bias. Methods We extracted data from 140 of 159 included trials from three countries, the UK, Canada, and Ireland, in our original cohort. …”
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SPINK1 facilitates tumor progression via the EGFR/JAK/STAT3 axis in oral squamous cell carcinoma: insights from single-cell RNA sequencing by Mingyan Bao, Zhangui Tang

“…ObjectiveThis study aimed to elucidate the functional role and molecular mechanisms of Serine Peptidase Inhibitor Kazal Type 1 (SPINK1) in oral squamous cell carcinoma (OSCC) through integrative analysis of single-cell RNA sequencing (scRNA-seq) data.Materials and methodsCellular subpopulations within OSCC were stratified using transcriptomic datasets from the GEO database. …”
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YOLOv8n-DSDL: A lightweight dual-backbone network with decoupled self-attention for cotton maturity detection by Meiqi Zhong, Linjing Wei, Henghui Mo

“…The overall performance surpasses the original YOLOv8n and other mainstream detection methods. This study provides a novel and practical solution for intelligent maturity monitoring of cotton and potentially other crops. …”
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Spatiotemporal assessment of ecological quality and driving mechanisms in the Beijing metropolitan area by Aibo Jin, Hui Li, Xiangrong Wang, Ziyao Wang

“…Spatial clustering patterns of ecological quality are identified through RSEI calculations and spatial autocorrelation analyses, while future trends are projected utilizing the coefficient of variation, Sen and Mann–Kendall methods, and the Hurst index. …”
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BuDDI: Bulk Deconvolution with Domain Invariance to predict cell-type-specific perturbations from bulk. by Natalie R Davidson, Fan Zhang, Casey S Greene

“…In each experiment, BuDDI outperformed all other comparative methods and baselines. As more reference atlases are completed, BuDDI provides a path to combine these resources with bulk-profiled treatment or disease signatures to study perturbations, sex differences, or other factors at single-cell resolution.…”
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Interactive image segmentation algorithm based on adaptive kernel learning by LONG Jianwu, LI Jihao

“…To address the issue that most existing interactive image segmentation methods suffer from limited segmentation performance due to their susceptibility to noise interference and non-convex structure impacts in the original feature space, an adaptive kernel learning-based interactive image segmentation algorithm was proposed. …”
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Top and Side Leakage Effects on Thermoregulation and Moisture Retention with Facemask Wearing by Kian Barari, Xiuhua Si, Rozhin Hajian, Jinxiang Xi

“…<b>Methods:</b> The transient warming/cooling effects, thermal buoyancy force, tissue heat generation, vapor phase change, and fluid/heat/mass transfer through a porous medium were considered in this model, which was validated using Schlieren imaging, a thermal camera, and velocity/temperature measurements. …”
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Decoding epithelial–fibroblast interactions in lung adenocarcinoma through single-cell and spatial transcriptomics by Jiajin Yang, Qiuping Xu, Yanjun Lu

“…Methods We analyzed single-cell RNA sequencing (scRNA-seq) data from 21 LUAD patients and performed spatial transcriptomic deconvolution. …”
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MicroRNA-221 protects myocardial contractility in myocardial ischemia/reperfusion injury through phospholamban. by Hongyu Li, Jimiao Qiu, Chang Liu, Guobing Yu, Danyu Wu, Yichun Chu, Kai Wang

“…<h4>Objective</h4>To investigate the effects and mechanisms of miRNA 221 on myocardial ischemia/reperfusion injury (MIRI) in mice through the regulation of phospholamban (PLB) expression.<h4>Methods</h4>The MIRI mouse model was created and mice were divided into sham, MIRI, MIRI+ 221, and MIRI+ scr groups, with miRNA 221 overexpression induced in the myocardium of MIRI mice by targeted myocardial injection. …”
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Stress management with HRV following AI, semantic ontology, genetic algorithm and tree explainer by Ayan Chatterjee, Michael A. Riegler, K. Ganesh, Pål Halvorsen

“…Different machine learning (ML) algorithms, including traditional and ensemble methods, are employed for analyzing both imbalanced and balanced HRV datasets. …”
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Programmed cell death-driven remodeling of the melanoma microenvironment enables prognostic stratification and therapeutic prediction by Bo Hu, Shengnan Chai, Xuan Li, Qiang Zhang, Mei Jin, Long Zhang

“…This study aims to comprehensively characterize PCD-related signatures and their associations with tumor heterogeneity, prognosis, and immunotherapeutic outcomes.MethodsSingle-cell RNA sequencing data from melanoma cohorts (cutaneous and acral subtypes) were used to assess PCD activity via AUCell-based scoring across major cell types. …”
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Deciphering the Structural and Functional Effects of the R1150W Non-Synonymous Variant in SCN9A Linked to Altered Pain Perception by Faisal A. Al-Allaf, Zainularifeen Abduljaleel, Mohammad Athar

“…This study conducts a multimodal assessment of SCN9A, integrating genetic variation, structural architecture, and molecular dynamics to elucidate its role in pain regulation. …”
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