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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Research on Robust Adaptive Model Predictive Control Based on Vehicle State Uncertainty by Yinping Li, Li Liu

“…Traditional MPC methods often suffer from infeasibility or deteriorated tracking accuracies when handling model mismatches and disturbances. …”
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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

“…Additionally, a forgetting factor is integrated into the design to enhance computational efficiency and convergence rate. …”
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LGC-YOLO: Local-Global Feature Extraction and Coordination Network With Contextual Interaction for Remote Sensing Object Detection by Qinggang Wu, Yang Li, Junru Yin, Xiaotian You

“…Object detection in high-resolution remote sensing image (HRRSI) faces great challenges of large-scale variations in object size, densely distributed small objects, and complex background interferences. …”
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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

“…Stratified analyses were conducted to assess variations between countries.Findings Climate change worry was associated with increased risk of anxiety (OR: 1.38, 95% CI: 1.13 to 1.68), but not depression (OR: 1.10, 95% CI: 0.94 to 1.29), or sleep disturbance (OR: 1.08, 95% CI: 0.92 to 1.27), in pooled analyses across countries. …”
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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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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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Potassium Clearance in Optic Nerve: A Multidomain Model by Shanfeng Xiao, Huaxiong Huang, Robert Eisenberg, Zilong Song, Shixin Xu

“…Numerical simulations were performed using a finite volume method under axisymmetric geometry, and parameter sensitivity was explored through variations in glial membrane conductance, connexin permeability, and aquaporin-4 (AQP4) expression. …”
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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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The Impact of Gender Factor on the Formation of Career Aspirations of Military Personnel of the Armed Forces of Ukraine by Tetiana Khraban, Mykhailo Khraban

“…The study uses the psycholinguistic research method, specifically a free association experiment. …”
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Chromosomal Microarray Analysis in Spina Bifida: Genetic Heterogeneity and Its Clinical Implications by Himani Pandey, Jyoti Sharma, Sourabh Kumar, Nakul Mohan, Vishesh Jain, Anjan Kumar Dhua, Devendra Kumar Yadav, Ashish Kumar Dubey, Prativa Choudhury, Prabudh Goel

“…The detection of significant genetic variations in two of three cases underscores the potential utility of CMA in spina bifida patients. …”
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A scoping review of community knowledge in malaria prevention and control programmes. by Faizul Akmal Abdul Rahim, Mohd Amierul Fikri Mahmud, Mohd Hatta Abdul Mutalip, Norzawati Yoep, Mohd Amiru Hariz Aminuddin, Ahmad Mohiddin Mohd Ngesom

“…The findings revealed significant regional variations in community knowledge of malaria transmission, symptoms, and prevention. …”
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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

“…Compared to the original assessments, we judged more studies to be low risk of bias across all domains. The greatest variation was in the two blinding categories (participants and personnel; outcome assessor) and ‘other bias’. …”
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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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