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

“…Advanced genomic sequencing techniques and a Gated Recurrent Unit-based deep learning model were used to examine the intricate genetic makeup of these viruses. …”
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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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Two phase sinusoidal pulse width modulation with remodulation in the "converter – electric motor system" by A. V. Saushev, I. V. Belousov, V. F. Samoseiko

“…Methods of analysis of electrical circuits were used in the work.Results and discussion. …”
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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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On the Issue of Systematization of Modern Terminology of Advertising and Public Relations by A. D. Krivonosov

“…The purpose of the article is to demonstrate the operationality of using a nested method of lexicographic fixation of advertising and public relations terms based on the classical model of G. …”
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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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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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Exploring the potential of deep learning models integrating transformer and LSTM in predicting blood glucose levels for T1D patients by Xin Xiong, XinLiang Yang, Yunying Cai, Yuxin Xue, JianFeng He, Heng Su

“…Methods In this study, we propose a hybrid deep learning model combining Transformer and LSTM networks to predict blood glucose levels for up to 120 min. …”
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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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Ageing, multimorbidity, and quality of life: a mediation analysis using longitudinal ageing study in India by Bharti Singh, Ajay Kumar

“…The QoL score was constructed using Principal Component Analysis (PCA) by utilizing 21 factors under six domains (physical health, psychological health, social relationship, environmental satisfaction, life satisfaction and general health), with the composite QoL score ranging from 0 to 100. Further, the Structural equation model (SEM) was used to assess the role of multimorbidity as the intermediating risk factor for exogenous factors on QoL.ResultsDistributions of morbidities burden were skewed toward non-communicable diseases (NCDs) and sequentially escalated multimorbidity burden was observed among the oldest of old age groups. …”
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Advancing ship automatic navigation strategy with prior knowledge and hierarchical penalty in irregular obstacles: a reinforcement learning approach to enhanced efficiency and safe... by Hao Zhang, Jiawen Li, Jiawen Li, Jiawen Li, Jiawen Li, Liang Cao, Liang Cao, Liang Cao, Shucan Wang, Ronghui Li, Ronghui Li, Ronghui Li

“…The GEPA model introduces a priori knowledge to guide the decision-making of the intelligent agent, reduces invalid explorations, and accelerates the learning convergence, and combines with hierarchical composite reward and punishment mechanisms to improve the rationality and safety of autopilot by means of end-point incentives, path-guided rewards, and irregular obstacle avoidance penalties. …”
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Outcomes After Noncardiac Surgery Performed Within 2 Years of Percutaneous Coronary Intervention by Neel M. Butala, Annika Hebbe, Binita Shah, Nathaniel R. Smilowitz, Bilal Aijaz, Anezi Uzendu, Peter Boulos, Stephen W. Waldo

“…The objective was to examine rate, characteristics, and outcomes of patients who underwent noncardiac surgery within 2 years of PCI and develop a risk model of factors that predict long‐term postoperative outcomes among patients with recent PCI. …”
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Construction of a predictive model for concurrent infection in liver failure patients based on prognostic nutritional index and inflammatory cytokine analysis by Hong Yang, Bin Zhang, Chun Yu, Xiao Zhu

“…Abstract Objective This study aimed to explore the relationship between the Prognostic Nutritional Index (PNI, a composite indicator of albumin and lymphocyte count reflecting nutritional and immune status) and inflammatory cytokines in predicting infections among liver failure patients, and to construct a predictive model based on these indicators. …”
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Identification of Plasma Metabolites Responding to Oxycodone Exposure in Rats by Thao Vu, Suneeta Godbole, Lieselot L. G. Carrette, Lisa Maturin, Olivier George, Laura M. Saba, Katerina Kechris

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Single-cell transcriptomics reveal the prognostic roles of epithelial and T cells and DNA methylation-based prognostic models in pancreatic cancer by Jing Du, Yaqian Zhao, Jie Dong, Peng Li, Yan Hu, Hailang Fan, Feifan Zhang, Lanlan Sun, Dake Zhang, Yuhua Zhang

“…The TCGA dataset was used for validation, and cell composition was inferred from DNAm data. Prognostic models were constructed based on cell-type-specific DNAm markers, and genomic features were compared across risk groups. …”
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Targeting early tau pathology: probiotic diet enhances cognitive function and reduces inflammation in a preclinical Alzheimer’s model by Cassandra M. Flynn, Tamunotonye Omoluabi, Alyssa M. Janes, Emma J. Rodgers, Sarah E. Torraville, Brenda L. Negandhi, Timothy E. Nobel, Shyamchand Mayengbam, Qi Yuan

“…Methods This study evaluates the effects of probiotics in a rat model of preclinical AD, specifically targeting hyperphosphorylated pretangle tau in the locus coeruleus. …”
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In vivo percutaneous microwave ablation with ECO system in swine kidney and liver: comparison of ablation-zone size to manufacturer predictions and assessment of new antenna design by Théo Bonnefoy, Georges Tarris, Kévin Guillen, Olivia Poupardin, Olivier Chevallier, Ludwig Serge Aho Glele, Jean-Michel Correas, Romaric Loffroy

“…Power and application time are chosen based on manufacturer-provided data, usually obtained from ex vivo animal models. However, ex vivo tissues differ from in vivo condition due to compositional changes and absence of heat dissipation by blood flow. …”
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