Exploring income-based disparities in plant based protein consumption: Evidence from indonesia using probit analysis by Nandiroh Umi, Khoiriyah Nikmatul, Forgenie David, Sa’diyah Ana Arifatus

“…Data from a nationally representative survey indicate that income significantly affects dietary choices, with higher-income households exhibiting varied likelihoods of consuming tofu and tempeh. …”
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Predictive modeling and interpretative analysis of risks of instability in patients with Myasthenia Gravis requiring intensive care unit admission by Chao-Yang Kuo, Emily Chia-Yu Su, Hsu-Ling Yeh, Jiann-Horng Yeh, Hou-Chang Chiu, Chen-Chih Chung

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From energy to ecology: decarbonization pathways for sustainable high-performance computing through global carbon-energy nexus analysis by Guancong Yu, Ziyan Wang, Yulan Xu, Zhuofan Javan Sun, Susan Chen

“…Global annual energy consumption ranges from 2.3–4.2 billion kW·h at average utilization, with the US accounting for 1.68 billion kW·h. (2) Carbon footprint calculations using energy mix data (2016–2022) incorporated an Environmental Impact Index (EII) to weigh ecological sensitivity, linking CO2 emissions to a 0.5% GDP loss per trillion tons, totaling $2.18 million in economic losses. (3) Forecasting models projected 2030 emissions at 1.071 × 1020 kg under average utilization with sobol analysis demonstrating marginal energy consumption fluctuations due to uncertainty. (4) Renewable energy adoption analysis showed strong inverse correlations between clean energy use and emissions in the US (R2 = 0.904), China (R2 = 0.99), and Germany (R2 = 0.779), while quantifying air pollutants like SO2, NOx and PM10. (5) The combined differential equation and regression models captured the dynamic evolution of energy efficiency and its impact on energy consumption, revealing through 2025 projections that policy incentives can substantially enhance energy efficiency (from 21.22 to 30.90) while reducing energy consumption (from 0.3449 to 0.3278).DiscussionThis study underscores the urgency of balancing HPC growth with sustainability through renewable integration and operational efficiency.…”
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Thyroiditis and human blood metabolites: A mendelian randomization study by Shao Lijie, Liu Siqi, Song Yongfu, Han Shaoyu, Ma Yue, Kunpeng Yang, Zhang Jingbin, Qi Bingxue, Guo Yan, Lu Xiaodan

“…Methods: We analyzed genomic and health data from 88 million Finnish Biobank participants in the Genome-Wide Association Study (GWAS). …”
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Monotherapy with Metformin versus Sulfonylureas and Risk of Cancer in Type 2 Diabetic Patients: A Systematic Review and Meta-Analysis by Abraham Nigussie Mekuria, Yohanes Ayele, Assefa Tola, Kirubel Minsamo Mishore

“…Search was performed throughout MEDLINE/PubMed, EMBASE, Google Scholar, Cochrane Central Register of Controlled Trials (CENTRAL), and ClinicalTrials.gov up until December 2018. In this meta-analysis, each raw data (unadjusted) and study-specific (adjusted) relative risks (RRs) was combined and the pooled unadjusted and adjusted RRs with the 95% CI were calculated using the random-effects model with inverse-variance weighting. …”
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Boltzmann energy-based image analysis demonstrates that extracellular domain size differences explain protein segregation at immune synapses. by Nigel J Burroughs, Karsten Köhler, Vladimir Miloserdov, Michael L Dustin, P Anton van der Merwe, Daniel M Davis

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Applicability of Machine Learning and Mathematical Equations to the Prediction of Total Organic Carbon in Cambrian Shale, Sichuan Basin, China by Majia Zheng, Meng Zhao, Ya Wu, Kangjun Chen, Jiwei Zheng, Xianglu Tang, Dadong Liu

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Mendelian randomization and transcriptomic analysis reveal a positive cause-and-effect relationship between Alzheimer's disease and colorectal cancer by Wei Du, Xueming Xia, Qiheng Gou, Yan Qiu

“…The study used GWAS data from a cohort of European patients and applied several MR methods, including MR Egger, weighted median, and inverse-variance weighted approaches, to ensure robust findings. …”
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Mediterranean diet as a modifiable risk factor for age-related macular degeneration: A systematic review and meta-analysis by Maria Angelia, Yufilia Suci Amelia, Kevin Gracia Pratama

“…We search for studies that determine the association of MD in AMD. Then, we pooled the data for meta-analysis. Results: Eight studies were included in our systematic review. …”
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Causal associations between osteoporosis and HBV infection across Asian and European populations: evidence from Mendelian randomization and colocalization analysis by Zhengnan Li, Jiarui Cao, Ke Li, Yixin Wu, Zhanpeng Luo, Rui Cao, Zhiheng Cheng, Zhendong Tian, Yiyang Han, Yuping Lai, Bangqi Wang, Shen Chen

“…Bayesian co-localization analysis revealed co-localization of HBV infection and osteoporosis on STAT4 at rs11889341based on East Asian GWAS data.ConclusionsOur study identified a causal relationship between HBV infection and osteoporosis in East Asian and European populations. …”
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Beverage Consumption Patterns and Their Association with Metabolic Health in Adults from Families at High Risk for Type 2 Diabetes in Europe—The Feel4Diabetes Study by Paris Kantaras, Niki Mourouti, Theodora Mouratidou, Ekaterini Chatzaki, Makrina Karaglani, Violeta Iotova, Natalya Usheva, Imre Rurik, Péter Torzsa, Luis A. Moreno, Stavros Liatis, Konstantinos Makrilakis, Yannis Manios

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Association between sedentary behavior, physical activity, and osteoarthritis: results from NHANES 2007–2020 and Mendelian randomization analysis by Jiangqin He, Cao Zhang, Lili Yang

“…While sedentary behavior (SB) and physical activity (PA) have been implicated in OA risk, the relationship between these factors and OA development remains unclear. This study investigates the correlation and potential causality between SB, PA, and OA using both cross-sectional and Mendelian randomization (MR) analysis.MethodsWe conducted a two-phase study that included a cross-sectional analysis using data from the National Health and Nutrition Examination Survey (NHANES) and a MR analysis. …”
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Analysis of the Shock Wave/Boundary Layer Interaction considering a Compression Corner Model Using the MacCormack Method by Ana Maria Pereira Lara, Tiago Cavalcanti Rolim

“…The first stage of this research is the development of methodology, flow simulations, and data analysis. …”
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Lipopolysaccharide-binding protein (LBP): a prognostic biomarker for gastric cancer linked to immune infiltration by Hao Lv, Mei Lv, Xuyang Guo, Xiaoman Zhu, Yue Chao, Dandan Li

“…Univariate and multivariate Cox regression analyses revealed that high LBP expression was inversely related to patient survival. Additionally, immune infiltration and functional enrichment analyses revealed the involvement of LBP in pathways crucial to cancer development, such as immune response modulation and lipid metabolism. …”
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Association between Healthy Lifestyle Factors and Metabolic Syndrome Risk: A Prospective Analysis of the Korean Genome and Epidemiology Study by Jialei Fu, Sangah Shin

“…Methods Health Examinees Study data were used, and 41,368 participants aged 40 to 69 years were included. …”
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An automatic algorithm for surface wave dispersion curve picking based on Hessian matrix attributes by Hou Xiaoping, Yu Jiashun, Yuan Jianlong, Fu Xiaobo, Fan Xinran, Han Chao, Liu Zhigang, Qian Guang, Zhou Qiang

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Comparative analysis of hybrid-SNP microarray and nanopore sequencing for detection of large-sized copy number variants in the human genome by Catarina Silva, José Ferrão, Bárbara Marques, Sónia Pedro, Hildeberto Correia, Ana Valente, António Sebastião Rodrigues, Luís Vieira

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Nurses' Performance as a Mediator Between Nurses' Fatigue and Patient Safety Culture: A Structural Equation Model Analysis by Monireh al‐Sadat Mirahmadi Niri, Zahra Khademian, Mozhgan Rivaz

“…The data were analysed via structural equation modelling (SEM). …”
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Genetic evidence for causal effects of inflammatory protein factors on breast cancer by Xinqi Liu, Xu Xu, Peizhi Ye, Zhenglong Jiang, Le Tian, Yukun Yin, Li Feng

“…The primary analysis was conducted using inverse-variance weighted (IVW) method, supplemented by MR-Egger and weighted median approaches. …”
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Association between dietary index for gut microbiota and metabolic syndrome risk: a cross-sectional analysis of NHANES 2007–2018 by Yueyue Niu, Lu Xiao, Ling Feng

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