Machine learning classification and driver analysis of diel variability in dissolved oxygen in Taihu Lake by Tingting Luo, Yehui Zhang

“…Dissolved oxygen (DO) plays a crucial role in aquatic ecosystems, yet its diel variations are influenced by complex environmental interactions. This study analyzed high-frequency DO data from Sanshandao Island in Taihu Lake (2020–2022) to classify diel DO variation patterns and identify key drivers. …”
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Does Institutional Quality Enhance the Effect of Health Outcomes on Economic Growth? Insights from Sub-Saharan African Countries by Hafte Gebreselassie Gebrihet, Yibrah Hagos Gebresilassie, Gabriel Temesgen Woldu

“…The life expectancy at birth (LEX) and real gross domestic product per capita (GDP) are used as proxies for health outcomes and ECG, respectively. …”
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Characterising the Genomic Landscape of Differentiation Between Annual and Perennial Rye by Christina Waesch, Max Pfeifer, Steven Dreissig

“…Presl), and explore the extent to which signatures of selection are influenced by recombination rate variation. We used population‐level sequence data of annual and perennial rye to analyse population structure and their demographic history. …”
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Relationship between adverse events prevalence, patient safety culture and patient safety perception in a single sample of patients: a cross-sectional and correlational study by Rosa Sunol, Carola Orrego, Mónica Susana Chirinos Muñoz, Cesar Montoya

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Energy-Dependent Chemical Potentials of Light Hadrons and Quarks Based on Transverse Momentum Spectra and Yield Ratios of Negative to Positive Particles by Xing-Wei He, Feng-Min Wu, Hua-Rong Wei, Bi-Hai Hong

“…The fitting results are consistent with the experimental data, and the final-state yield ratios of negative to positive particles are obtained based on the normalization constants from the above describing the transverse momentum (or mass) spectra. …”
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Machine learning explores the prognostic and immuno-oncological impact of mitochondrial unfolded protein response in CESC by Keh-Sen Liu, Yen-Hsiang Chang, Hsing-Ju Wu, Hung-Yu Lin

“…Methods We employed machine learning to analyze UPRmt genes in CESC using TCGA multi-omics data. Our comprehensive analysis included genetic alterations, prognostic significance, tumor-immune interactions, single-cell transcriptomics, pathway enrichment, and drug sensitivity assessments. …”
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Circular business models for whey valorization in the Kenyan dairy sector through product life extension and resource recovery by Celestine Mutio, Dickson Okello, Stanley Karanja, Bockline Bebe, Simon Bolwig

“…Key limitations include a small sample size (n = 10), reliance on self-reported data, and a focus on cheese-producing processors. …”
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Embracing opportunities and addressing barriers in learning empathy through VR simulation games - a qualitative descriptive study of nursing students’ experiences by Katri Mattsson, Elina Haavisto, Jaana-Maija Koivisto

“…The nursing students participated in virtual reality gaming prior to the interviews. Data were collected through interviews from May 2021 to January 2022. …”
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Association between endothelial activation and stress index and 30-day mortality risk in acute myocardial infarction patients: a study based on the medical information mart for int... by Mingmin Sang, Xiaofeng Ma, Fangyi Zhu, Cunkui Zhu, Zuohua Ying

“…Abstract Objective This study aimed to evaluate the association between the Endothelial Activation and Stress Index (EASIX) and 30-day mortality risk in acute myocardial infarction (AMI) patients. Methods Using a retrospective cohort design, data were extracted from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database between 2008 and 2019. …”
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Relationship between social inhibition and transition shock among newly graduated registered nurses: a cross-sectional study by Min Guo, Yueqing Wang, Yaxin Li, Ying Liu, Yihan Wang, Xiaoyan Zhang, Xianwen Li

“…A total of 547 nurses in China completed an assessment of the study variables. Data were analyzed using multiple linear regression and mediation models with the PROCESS macro in SPSS. …”
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Integrating bioinformatics and machine learning to investigate the mechanisms by which three major respiratory infectious diseases exacerbate heart failure by Yiding Yu, Quancheng Han, Juan Zhang, Jingle Shi, Huajing Yuan, Yitao Xue, Yan Li

“…By performing differential expression analysis on GEO database data, we found 51 common molecules of three respiratory diseases. …”
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Serum albumin corrected anion gap levels are associated with poor prognosis in patients with acute ischemic stroke by Yaxin Zhang, Fan Wu, Jiawei Sun, Chuchuan Xu, Qingwei Yang, Guangdong Wang

“…This study aimed to evaluate the role of albumin corrected anion gap (ACAG) as a prognostic marker for AIS patients. We analyzed data from 1014 AIS patients in the MIMIC-IV database, stratifying patients by ACAG levels. …”
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FACTORS INFLUENCING THE DISCLOSURE OF SUSTAINABILITY REPORTS BY LISTED COMPANIES ON THE VIETNAMESE STOCK MARKET by Tran The Nu, Nguyen Thi Thanh Hai, Le Thi Thanh Huong, Do Thi Ngoc Lan

“…The research also emphasizes the importance of ownership structure, particularly state and foreign ownership, in shaping the likelihood and quality of SDR disclosure. Using a combination of quantitative and qualitative research methods, this study analyzes data from 90 companies and offers empirical insights into how these factors interact and influence SDR practices in Vietnam. …”
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A study on the influencing factors of exercise adherence in patients with chronic heart failure: from a configuration perspective by Jing Lu, Jie Wang, Zhanhong You, Qin Wang, Guozhen Sun

“…Exercise adherence is influenced by a combination of antecedent conditions; however, the mechanisms underlying adherence to exercise in CHF patients remain unclear.DesignCross-sectional study.MethodConvenience sampling was used to recruit patients with CHF from 3 tertiary-level hospitals in China, between January and May 2024. …”
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Striga hermonthica (Del.) Benth has Dual Negative Effect on its Host Sorghum bicolor (L.) Moench by Tigist Beyene, Meseret Chimdessa Egigu

“…Germination parameters were monitored for 15 days and General linear model was used to analyze data. Results showed that both leaf and flower of S. hermonthica produce phenolics, alkaloids and terpenoids. …”
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Model-Free Adaptive Fast Integral Terminal Sliding Mode Control for Permanent Magnet Synchronous Motor with Position Error Constraint by Xingyu Qu, Shuang Zhang, Chengkun Peng

“…The method establishes a compact dynamic linearized data model for the PMSM system. Then, it uses a discrete small-gain extended state observer to estimate the composite disturbances in the PMSM online, effectively compensating for their adverse effects. …”
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Transforming improvement training at scale with essential digital training skills by Iain M Smith, Cheryl Guest, Margaret Herbert

“…A mixed-methods approach was used, with data collected from existing application and attendance records, surveys and interviews with volunteers who self-identified as having put the learning into practice. …”
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Perception of Montessori preschool teachers regarding literacy development through technology-supported play-based activities by Margaret F. Omidire, Shine Aung, Etinosa Izevbigie, Seboke P. Shai

“…Method: A case study of 10 teachers from four Montessori schools in Tshwane, South Africa, combined the Montessori theory, the Technological Pedagogical Content Knowledge (TPACK) framework and social constructivism to form the research lens, which guided the investigation. Data were collected using semi-structured interviews, a focus group discussion and non-participatory classroom observations. …”
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Impact of Physical Activity, Sedentary Behavior, and Basal Metabolic Rate on PTSD, Depression, and Emotional Instability by Tianyi Lyu, Haonan Qian, Sung-Pil Chung

“…Methods: MR analyses utilizing genome-wide association study (GWAS) data were conducted to estimate the effects of physical activity, sedentary behavior, and the BMR on PTSD, MDD, and EI. …”
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Seropositivity to cytomegalovirus, inflammation, all-cause and cardiovascular disease-related mortality in the United States. by Amanda M Simanek, Jennifer Beam Dowd, Graham Pawelec, David Melzer, Ambarish Dutta, Allison E Aiello

“…Cox proportional hazard models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for all-cause and CVD-related mortality by CMV serostatus. …”
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