Experimental Study on Internal Erosion of Granite Weathered Soil Under Dynamic Head Action by Hao WANG, Gengming YAN, Chuandong LI, Yingying HUANG, Zhichao ZHANG

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Comparison of total event analysis and first event analysis in relation to heterogeneity in cardiovascular trials by Shun-Fu Lee, Chinthanie Ramasundarahettige, Hertzel C. Gerstein, William F. McIntyre, John Eikelboom, Martin J. O’Donnell, Yueci Zhou, Shrikant I. Bangdiwala, Lehana Thabane

“…Our simulation results showed that total event approaches had approximately 5% higher power than the Cox model, though power declined exponentially across all methods with increasing heterogeneity. …”
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Synbiotic-driven modulation of the gut microbiota and metabolic functions related to obesity: insights from a human gastrointestinal model by Kevin Mok, Putsawee Tomtong, Takuma Ogawa, Kenshiro Nagai, Pitchsupang Torrungruang, Suvimol Charoensiddhi, Jiro Nakayama, Bandhita Wanikorn, Sunee Nitisinprasert, Wanwipa Vongsangnak, Massalin Nakphaichit

“…This study evaluated the effects of Limosilactobacillus reuteri KUB-AC5 (10⁸ CFU) and Wolffia globosa powder (6 g/day) using an in vitro continuous human gastrointestinal model. Fecal samples from obese donors were used to simulate the ascending and descending colon, with microbial viability, diversity, and metabolite production assessed over 14 days via culture-dependent and culture-independent methods. …”
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Supervised Natural Language Processing Classification of Violent Death Narratives: Development and Assessment of a Compact Large Language Model by Susan T Parker

“…ObjectiveThe objective of this work is to assess applications of supervised NLP to unstructured data in the National Violent Death Reporting System to predict circumstances and types of violent death. MethodsThis analysis applied distilBERT, a compact large language model (LLM) with fewer parameters relative to full-scale LLMs, to unstructured narrative data to simulate the impacts of preprocessing, volume, and composition of training data on model performance, evaluated by F1F1 ResultsA minimum training set of 1500 cases was necessary to achieve an F1F1F1 ConclusionsCompact LLMs with sufficient training data can be applied to supervised NLP tasks with a class imbalance in the National Violent Death Reporting System. …”
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Identification of Target Body Composition Parameters by Dual-Energy X-Ray Absorptiometry, Bioelectrical Impedance, and Ultrasonography to Detect Older Adults With Frailty and Prefr... by Beatriz Ortiz-Navarro, José Losa-Reyna, Veronica Mihaiescu-Ion, Jerónimo Garcia-Romero, Margarita Carrillo de Albornoz-Gil, Alejandro Galán-Mercant

“…The PowerFrail mobile app, combined with advanced body composition analysis, offers a practical and noninvasive method for early frailty detection in primary care settings. …”
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INFORMATION TECHNOLOGY FOR AUTOMATED ANALYSIS OF DEGRADATION AND RESTORATION PROCESSES OF COMPLEX ORGANIZATIONAL AND TECHNICAL SYSTEMS by Andrey V. Tristan, Sergey V. Osiyevskiy, Valery G. Patalaha

“…Information technology of the automated analysis of processes of degradation and renewal of the difficult organizationally-technical systems is examined as totality of models, methods, algorithms of collection, treatment and transfer information about state of own and counteractive system, critical points of influence and forming of the managing influences sent to the achievement of informative superiority, realization of principles of reflection control and programming of opponent actions. …”
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Bacteriocin KvarM versus conventional antibiotics: comparative effectiveness in treating Klebsiella pneumoniae infections in murine intestinal models by Indre Karaliute, Deimante Tilinde, Rima Ramonaite, Rokas Lukosevicius, Darja Nikitina, Jurga Bernatoniene, Irma Kuliaviene, Irena Valantiene, Dalius Petrauskas, Vilma Zigmantaite, Vilma Zigmantaite, Audrius Misiunas, Erna Denkovskiene, Ausra Razanskiene, Yuri Gleba, Juozas Kupcinskas, Juozas Kupcinskas, Jurgita Skieceviciene

“…In this study, we evaluated the therapeutic potential of Eudragit-coated klebicin KvarM in a mouse model of Klebsiella pneumoniae intestinal colonization, assessing both its antimicrobial effectiveness and impact on commensal gut microbiota.MethodsAntimicrobial activity of KvarM in comparison to conventional antibiotic therapy with ciprofloxacin was tested in murine models for K. pneumoniae gastrointestinal (GI) tract infection. …”
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An interpretable CT-based deep learning model for predicting overall survival in patients with bladder cancer: a multicenter study by Meng Zhang, Yizhong Zhao, Dapeng Hao, Yancheng Song, Xiaotong Lin, Feng Hou, Yonghua Huang, Shifeng Yang, Haitao Niu, Cheng Lu, Hexiang Wang

“…The BCDL model outperformed other models in survival risk prediction, with the SHapley Additive exPlanation method identifying pixel-level features contributing to predictions. …”
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Hexavalent Chromium Removal from Model Water and Car Shock Absorber Factory Effluent by Nanofiltration and Reverse Osmosis Membrane by Amine Mnif, Imen Bejaoui, Meral Mouelhi, Béchir Hamrouni

“…Nanofiltration and reverse osmosis are investigated as a possible alternative to the conventional methods of Cr(VI) removal from model water and industrial effluent. …”
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Evaluating Machine Learning Models for Predicting Hardness of AlCoCrCuFeNi High-Entropy Alloys by Uma Maheshwera Reddy Paturi, Muhammad Ishtiaq, Pasupuleti Lakshmi Narayana, Anoop Kumar Maurya, Seong-Woo Choi, Nagireddy Gari Subba Reddy

“…This study evaluates the predictive capabilities of various machine learning (ML) algorithms for estimating the hardness of AlCoCrCuFeNi high-entropy alloys (HEAs) based on their compositional variables. Among the ML methods explored, a backpropagation neural network (BPNN) model with a sigmoid activation function exhibited superior predictive accuracy compared to other algorithms. …”
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Concrete Strength: Rubber Crumbs and Steel Slag Mix - Python Analysis by R. Mohanraj, S. Senthilkumar, B. Amutham, R. Krishnasamy

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Fatigue behavior of pultruded fiberglass tubes under tension, compression and torsion by Oleg Staroverov, Artur Mugatarov, Anastasia Sivtseva, Elena Strungar, Valeriy Wildemann, Aleksandr Elkin, Ivan Sergeichev

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Advancements in Viral Genomics: Gated Recurrent Unit Modeling of SARS-CoV-2, SARS, MERS, and Ebola viruses by Abhishak Raj Devaraj, Victor Jose Marianthiran

“…Rapid and unprecedented anthropogenic, behavioral, and social transformations witnessed in the past century have expedited the emergence of novel pathogens, intensifying their impact on the global human population. Methods: This study aimed to comprehensively analyze and compare the genomic sequences of four distinct viruses: SARS-CoV-2, SARS, MERS, and Ebola. …”
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Atrial fibrillation risk model based on LASSO and SVM algorithms and immune infiltration of key mitochondrial energy metabolism genes by Xunjie Yang, Weng Lan, Chunyi Lin, Chunyu Zhu, Zicong Ye, Zhishi Chen, Guian Zheng

“…Key MEMRDEGs were selected using the least absolute shrinkage and selection operator (LASSO) and support vector machine (SVM) methods, and a diagnostic model was developed. Immune infiltration was assessed using single-sample gene set enrichment analysis (ssGSEA) and the microenvironment cell population counter (MCPcounter). …”
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MILLET BASED NUTRITIONAL SUPPLEMENT FOR DIARRHEAL EPISODE IN PROTEIN ENERGY MALNOURISHED CONDITION: AN EXPERIMENTAL APPROACH IN CASTOR OIL MODEL by Sachin V TEMBHURNE, Mansi S JAGDALE, Payal KATE, Ziyaurrahman AR

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Changes in VEGFR1 and VEGFR2 expression and endothelial cell maturity in laboratory animals with a model of Alzheimer’s disease by M. V. Kukla, A. S. Averchuk, A. V. Stavrovskaya, N. A. Rozanova, A. K. Berdnikov, N. A. Kolotyeva, A. B. Salmina

“…To evaluate the expression of VEGFR1 and VEGFR2 and the maturity of endothelial cells in neurogenic niches in the model of Alzheimer’s disease.Materials and methods. …”
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Diagnosis of non-puerperal mastitis based on “whole tongue” features: non-invasive biomarker mining and diagnostic model construction by Siyuan Tu, Yulian Yin, Lina Ma, Hongfeng Chen, Meina Ye

“…Based on clinical, imaging, and microbial features, three machine learning models—logistic regression (LR), support vector machine (SVM), and gradient boosting decision tree (GBDT)—were trained to distinguish NPM.ResultsThe GBDT model achieved a superior diagnostic performance (AUROC = 0.98, accuracy = 0.95, and specificity = 0.95), outperforming the LR (AUROC = 0.98, accuracy = 0.95, and specificity = 0.90) and SVM models (AUROC = 0.87, accuracy = 0.80, and specificity = 0.75). …”
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Fatigue behavior of pultruded fiberglass tubes under tension, compression and torsion by Oleg Staroverov, Artur Mugatarov, Anastasia Sivtseva, Elena Strungar, Valeriy Wildemann, Aleksandr Elkin, Ivan Sergeichev

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Exploring the Antioxidant Activity and Impact on Gut Microbiota of Brassica rapa L. Polysaccharides Based on an in Vitro Digestion and Fermentation Model by Mengying ZHANG, Kaiyue BI, Yuhan WU, Wei LI, Wei LI, Yanbo LI, Yu ZHAO, Wei WANG

“…Objective: This study aimed to investigate the changes in antioxidant activity of turnip polysaccharides during in vitro simulated gastrointestinal digestion and to analyze their effects on gut microbiota diversity using an in vitro fecal anaerobic fermentation model. Methods: The DPPH·, ABTS+· and ·OH scavenging activities of digestion fluids after simulated digestion of turnip polysaccharides were measured. …”
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Application of Machine Learning Models for the Early Detection of Metritis in Dairy Cows Based on Physiological, Behavioural and Milk Quality Indicators by Karina Džermeikaitė, Justina Krištolaitytė, Ramūnas Antanaitis

“…The SVM achieved the highest sensitivity (90.9%), while RF and Ensemble models showed high specificity (>98%) and PPV. This study provides novel evidence that ML methods can effectively detect metritis using routinely collected, non-invasive on-farm data. …”
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