Comparative analysis of goat and bovine milk proteins in the improvement of sarcopenia based on host-microbial interactions by Ruoyu Wang, Yuxin Ma, Meng Sun, Lutong Li, Zhaofeng Zhang

“…IntroductionDiet intervention, especially supplementation with high-quality protein, is considered to be a critical strategy in sarcopenia. However, different sources and types of protein have different health impacts.ObjectivesThe aim of this study is to explore the differences in the ameliorative effects and mechanisms of different sources and types of proteins on sarcopenia, providing an optimal path for the prevention and treatment of sarcopenia.MethodsA sarcopenia model was established by intraperitoneal injection of dexamethasone (5 mg/kg). …”
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Beta-Glucans in Biotechnology: A Holistic Review with a Special Focus on Yeast by Nirmal Sarkar, Atharva Anand Mahajan, Sagarjyoti Pathak, Prakriti Seth, Ankita Chowdhury, Indrilla Ghose, Shrimanti Das, Rajanyaa Chowdhury, Aishi Bera, Anuvab Dey, Anushka Dutta, Ipsita Majumder, Subhrojyoti Ghosh, Ramya Lakshmi Rajendran, Prakash Gangadaran

“…</i> The impact of fermentation parameters on β-glucan yield and structural properties is analyzed, highlighting advancements in optimizing microbial production. Furthermore, we discuss methods for characterizing yeast β-glucans, including analytical and bioassay techniques, and compare their physicochemical properties with those of β-glucans from other sources. …”
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Community surveillance and response to maternal and child deaths in low- and middle-income countries: A scoping review. by Tariro J Basera, Kathrin Schmitz, Jessica Price, Merlin Willcox, Edna N Bosire, Ademola Ajuwon, Marjorie Mbule, Agnes Ronan, Fiona Burtt, Esca Scheepers, Jude Igumbor

“…This study aims to review how community-based maternal and child death reporting, investigation and review processes are carried out in LMICs.<h4>Methods</h4>We conducted a scoping review of the literature published in English from January 2013 to November 2020, searching PubMed, EMBASE, PsycINFO, Joanna Briggs, The Cochrane Library, EBM reviews, Scopus, and Web of Science databases. …”
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Epidemiological trends of influenza A and B in one hospital in Chengdu and national surveillance data (2019–2024) by Xiang Li, Chenlijie Yang, Lu Chen, Jian Ma, Zhongliang Hu

“…Understanding their epidemiological trends is essential for optimizing prevention and control strategies.ObjectiveThis study aims to analyze the epidemiological trends of Flu A and Flu B, compare hospital-based and national surveillance data, and evaluate the impact of COVID-19 on influenza transmission to provide scientific evidence for influenza control measures.MethodsWe analyzed influenza positivity rates from Sichuan Jinxin Xinan Women and Children Hospital data (HD) and Chinese National Influenza Center (CNIC) between 2019 and 2024. …”
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Parametric analysis of self-excited aeroelastic instability of an isolated single-axis two-dimensional flat solar tracker by Juan A. Cárdenas-Rondón, Carlos Carbajosa, Sergio Marín-Coca, Alejandro Martínez-Cava

“…The escalating global energy demand is driving a transition towards sustainable energy sources, particularly solar power, which is experiencing significant growth. …”
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Realizing the Promise of Artificial Intelligence in Hepatocellular Carcinoma through Opportunities and Recommendations for Responsible Translation by Tamer Addissouky, Majeed M. A. Ali, Ibrahim El Tantawy El Sayed, Mahmood Hasen Shuhata Alubiady

“…The results demonstrate that AI-based systems have shown promise in improving the accuracy and efficiency of HCC screening, diagnosis, and tumor characterization compared to traditional methods. Machine learning models integrating clinical, imaging, and genomic data have outperformed conventional staging systems in predicting survival and recurrence risk. …”
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Multivariate Machine Learning Model Based on YOLOv8 for Traffic Flow Prediction in Intelligent Transportation Systems by Fukui Wu, Hanzhong Tan, Linfeng Zhang, Shuangbing Wen, Tao Hu

“…Building on this, we propose a hybrid model combining Gradient Boosting Regression (GBR) and Support Vector Regression (SVR), where the GBR component captures complex nonlinear patterns in traffic flow data, while the SVR component enhances the model&#x2019;s generalization ability by optimizing predictions. Experimental results demonstrate that the proposed GBR-SVR model outperforms comparative methods in short-term traffic flow prediction, particularly under dynamic and complex traffic conditions. …”
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Enhancing patient-centered information on implant dentistry through prompt engineering: a comparison of four large language models by John Rong Hao Tay, John Rong Hao Tay, Dian Yi Chow, Yi Rong Ivan Lim, Ethan Ng, Ethan Ng

“…While prompt designs can enhance response quality, further refinement is necessary to optimize its performance.…”
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Using large language models to extract plant functional traits from unstructured text by Viktor Domazetoski, Holger Kreft, Helena Bestova, Philipp Wieder, Radoslav Koynov, Alireza Zarei, Patrick Weigelt

“…Methods We propose a natural language processing pipeline that extracts traits from unstructured species descriptions by using classification models for categorical traits and question‐answering models for numerical traits. …”
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Neurophysiological Effects of Virtual Reality Multitask Training in Cardiac Surgery Patients: A Study with Standardized Low-Resolution Electromagnetic Tomography (sLORETA) by Irina Tarasova, Olga Trubnikova, Darya Kupriyanova, Irina Kukhareva, Anastasia Sosnina

“…<b>Methods:</b> A total of 100 male CABG patients (mean age, 62.7 ± 7.62 years) were allocated to the VMT group (<i>n</i> = 50) or to the control group (<i>n</i> = 50). …”
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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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Artificial Intelligence in Wind Turbine Fault Detection and Diagnosis: Advances and Perspectives by Nejad Alagha, Anis Salwa Mohd Khairuddin, Zineddine N. Haitaamar, Obada Al-Khatib, Jeevan Kanesan

“…The global shift toward renewable energy, particularly wind power, underscores the critical need for advanced fault diagnosis systems to optimize wind turbine reliability and efficiency. While traditional diagnostic methods remain foundational, their limitations in addressing the nonlinear dynamics and operational complexity of modern turbines have accelerated the adoption of Artificial Intelligence (AI)-driven approaches. …”
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Mentorship in Plastic Surgery: A Systematic Review of the Current Literature and Elucidation of Recurring Themes by Benjamin K. Stone, MSc, Theodore A. Kung, MD, Turkia Abbed, MD, FACS, Ines Lin, MD, Vinay Rao, MD, MPH

“…Although mentorship programs have been described in the literature, this study aimed to elucidate the specific qualities of an effective mentor in plastic surgery. Methods:. Preferred Reporting Items for Systematic Reviews and Meta-analyses methodology was utilized to conduct a systematic review of the literature. …”
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A deep learning model to predict glioma recurrence using integrated genomic and clinical data by Jessica A. Patricoski-Chavez, Seema Nagpal, Ritambhara Singh, Jeremy L. Warner, Ece D. Gamsiz Uzun

“…Currently, no widely available models exist for reliably predicting early glioma recurrence, which is critical for optimizing patient outcomes. Machine learning (ML) and deep learning (DL) techniques have shown promise in predicting recurrence for various cancers, with those utilizing multimodal data sources showing increasing promise. …”
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Peculiarities of the Use of Professionally Oriented Vocabulary by Future Agrarians while Learning English by Valentyna Malyk

“…The methodology covers a comprehensive set of theoretical and empirical research methods, including the analysis of scientific sources, regulatory documents, pedagogical observation, description, classification and systematization. …”
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Evaluation of cholera surveillance system, Kumasi Metropolis, Ashanti Region, Ghana, 2020 by Belinda Nsiah Opoku, Ebenezer Kofi Mensah, Joseph Asamoah Frimpong, Delia Akosua Bandoh, Gyesi Razak Issahaku, Ernest Kenu

“…We evaluated the cholera surveillance system in Ghana’s second most populated city – Kumasi metropolis, to determine whether the system is meeting its objectives, and assessed its attributes and usefulness. Methods: We reviewed 2015-2019 cholera surveillance data sourced from health facilities and the health directorate of the Kumasi Metropolis. …”
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Higher magnesium depletion score increases the risk of all‑cause and cardiovascular mortality in US adults with diabetes. by Hao Zhang, Liping Kuang, Qiang Wan

“…This cohort study aims to explore the potential association between the MDS and all-cause and cardiovascular mortality in diabetic patients.<h4>Methods</h4>In this study, we analyzed data from 5,219 diabetic individuals from National Health and Nutrition Examination Survey (NHANES) 2003-2018. …”
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NON-PHARMACOLOGICAL THERAPY FOR CHRONIC OBSTRUCTIVE PULMONARY DISEASE (COPD): A SYSTEMATIC REVIEW by Nurul Imam, Taufan Citra Darmawan, Khalifatus Zuhriyah Alfianti, Maria Sofia Anita Aga, Eka Mei Dianita, Pradita Ayu Fernanda, Ni Putu Diah Ayu Rusmeni

“…Studies were included if they used Pre-Experimental, Quasi-Experimental, Randomized Controlled Trial, or Qualitative research designs. Review Methods: Two reviewers performed data extraction and risk of bias assessment independently using the Joanna Briggs Institute (JBI) checklist, with discrepancies resolved through consensus or a third reviewer. …”
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Spatial Modeling of Yellowfin Tuna in the Banda Sea Based on Oceanographic Factors Using MaxEnt by Sunarwan Asuhadi, Mukti Zainuddin, Safruddin Safruddin, Musbir Musbir

“…Future research could enhance accuracy and robustness by using advanced methods like Spatial Maxent, Monte Carlo Variable Selection, or ensemble modeling to support adaptive fisheries management.…”
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Adherence To Healthy Lifestyle Among Medical Workers In Routine Practice And During The COVID-19 Pandemic Abroad by E. I. Aksenova, N. N. Kamynina, P. S. Turzin

“…After the final selection and exclusion of the results that are scientifically and practically insignificant, 30 sources from 27 countries were included in the analysis. …”
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