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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Evolution and driving mechanisms of eco-environmental quality across different urbanization stages by Zhenfang He, Qingchun Guo, Zhaoxin Yin, XinPing Luo, Miaomiao Sun

“…The Geographical Detector, integrating natural, socio-economic, and nighttime light data, was used to analyze the driving factors and their interactions. …”
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The role of TNF signaling pathway in post-stroke cognitive impairment: a systematic review by Ren Fanzhou, Luo Yuding, Liu Pingchuan, Xiong Hai, Liu Xu, Wang Jian

“…We also explores potential therapeutic targets, offering novel perspectives for PSCI intervention.Methods A comprehensive literature search was conducted across electronic databases including PubMed, Web of Science, Embase, and MEDLINE to identify relevant studies. …”
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Material Technologies for Improved Diabetic Foot Ulcer (DFU) Treatment: A Questionnaire Study of Healthcare Professionals’ Needs by Marian Gabriela Vargas Guerrero, Lieve Vonken, Erwin Peters, Jimmy Lucchesi, Jacobus J. C. Arts

“…The respondents also highlighted the importance of a holistic approach to DFU management, integrating product development with comprehensive care strategies and patient education. …”
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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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Evaluating the association of transient receptor potential cation channel subfamily A member 1 gene polymorphisms with pain sensitivity: results from an adaptive recall by genotype... by Aidan P. Nickerson, Laura J. Corbin, Nicholas J. Timpson, Megan Nott, Oliver Blanshard, Katie Foy, Fang Fang Quek, Christopher Geddie, Keith Phillips, Frances M.K. Williams, Anthony E. Pickering, James P. Dunham

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Identification of cuproptosis-related genes in chronic apical periodontitis based on bulk and single-cell RNA sequencing analyses and experimental validation by Caiyi Zhang, Jie Zhao, Keqing Pan, Lingshuang Liu, Mengyu Jiao, Changqing Yuan, Chunyan Wan

“…A recently identified cell death pathway known as cuproptosis may be linked to this condition.MethodsDifferentially expressed cuproptosis-related genes (DE-CRGs) were identified by integrating human CAP dataset (GSE237398) with health control (HC) dataset (GSE223924) from the Gene Expression Omnibus (GEO) database. …”
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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

“…To address this issue, we propose the high-resolution U-shaped mamba network (HRUMamba), which integrates multiple innovations to enhance segmentation performance under imbalanced conditions. …”
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An Enhanced Cascaded Deep Learning Framework for Multi-Cell Voltage Forecasting and State of Charge Estimation in Electric Vehicle Batteries Using LSTM Networks by Supavee Pourbunthidkul, Narawit Pahaisuk, Popphon Laon, Nongluck Houngkamhang, Pattarapong Phasukkit

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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

“…To improve model robustness, preprocessing strategies such as standard normal variate (SNV), multiplicative scatter correction (MSC), and Savitzky–Golay derivatives were applied. …”
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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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Advanced finite segmentation model with hybrid classifier learning for high-precision brain tumor delineation in PET imaging by K. Murugan, SatheeshKumar Palanisamy, N. Sathishkumar, Tagrid Abdullah N. Alshalali

“…The FSM-ICL framework integrates advanced textural feature extraction, deep learning-based classification, and an adaptive segmentation approach to differentiate between tumor and non-tumor regions with high precision. …”
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Trends and forecast of drug-resistant tuberculosis: a global perspective from the GBD study 2021 by Yi Guo, Jiacheng Li, Lihong Lin

“…Recently, with the continued rise of DRTB, global TB prevention and control efforts have faced even greater challenges.AimsThis study aimed to quantify the changes in age-standardized incidence rate (ASIR) of two types of DRTB from 1991 to 2021 using the Global Burden of Disease (GBD) database, and to examine the epidemiological differences across various regions and countries and applied the autoregressive integrated moving average (ARIMA) model to predict the epidemiological trends of MDRTB and EDRTB from 2022 to 2030.MethodsData were extracted from the GBD database from 1991 to 2021. …”
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Accelerating multi-objective optimization of concrete thin shell structures using graph-constrained GANs and NSGA-II by Zhichun Fang, Xiuhong Wang, Yuyong Sun, M. A. Adibhashimi

“…We confirmed structural integrity through extensive finite element analysis and practical prototyping, achieving performance variations under 3.5%. …”
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Heart rate variability and ECG dispersion mapping in Magadan adolescents with a sympathetic type of vegetative regulation by A. N. Loskutova, V. R. Soukhat

“…To determine the dispersion deviations of low-amplitude oscillations of the cardiac cycle in Magadan adolescents with different levels of activity of the sympathetic link of autonomic regulation (according to the heart rate variability — HRV).Material and methods. We analyzed ratios of HRV and ECG dispersion mapping (DM ECG) of the heart among male volunteers aged 15-17 years. …”
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Effect of Risk-Based Audit and Information Technology on the Relationship between Client’s Risk Management and Audit Quality by Huy Cao Tan, Tuan Anh Dang

“… Background: Audit quality is pivotal for financial reporting integrity, yet the mechanisms linking client risk management (CRA) to audit outcomes remain underexplored. …”
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A Joint Forgetting Factor-Based Adaptive Extended Kalman Filtering Approach to Predict the State-of-Charge and Model Parameter of Lithium-Ion Battery by Satyaprakash Rout, Satyajit Das

“…Results from diverse dynamic operating conditions confirm the superior performance of the JFFAEKF in SOC estimation compared to existing methods.…”
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Climate change worry and the association with future depression and anxiety: cross-national analysis of 11 European countries by Claire L Niedzwiedz, Aminah Collery

“…This study focused on potential implications of climate change worry for mental health.Objective To assess whether climate change worry is associated with an increased risk of depression, anxiety and sleep disturbance across European countries.Methods The study used longitudinal data from the European Social Survey-10 (2020–2022) and the follow-up CROss-National Online Survey 2 wave 4 (2022). …”
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Vagus nerve stimulation balanced disrupted default-mode network and salience network in a postsurgical epileptic patient by Wang KL, Chai Q, Qiao H, Zhang JG, Liu TH, Meng FG

“…Here, we present the case of a 19-year old epileptic patient who received vagus nerve stimulation (VNS) following unsuccessful left parietal–occipital lesion-resection surgery, with results indicating an approximate 50% reduction in seizure frequency and a much longer seizure-free interictal phase. Materials and methods: Using resting-state functional magnetic resonance imaging, we measured the changes in resting-state brain networks between pre-VNS treatment and 6 months post-VNS, from the perspective of regional and global variations, using regional homogeneity and large-scale functional connectives (seeding posterior cingulate cortex and anterior cingulate cortex), respectively. …”
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