Impact wear behavior of austenitic steel bucket teeth based on machine learning by Zhihui Cai, Jianfeng Yan, Yandong Qiao, Rongjie Li, Yanchun Shi, Junping Zhang, Zhixiong Zhang

“…Using a random forest approach, the critical parameters influencing wear depth were identified. …”
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Hindcasting Extreme Significant Wave Heights Under Fetch-Limited Conditions with Tree-Based Models by Damjan Bujak, Hanna Miličević, Goran Lončar, Dalibor Carević

“…The tested tree-based models included Random Forest, XGBoost, and Explainable Boosting Machine. …”
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Smoking can increase the risk of osteoarthritis in European women by Beini Mao, Hetong Li, Jintao Zhong, Xiuwang Li, Hongxun Sang

“…This study aimed to identify the causality in different sexes and to identify the mediating effect of obesity. A two-sample mendelian randomization analysis was performed using summary data from a previous genome-wide association study and UK biobank. …”
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The genetic causal association between arthritis and low back pain by Aimin Gong, Daniel Yang, Mengjie Zeng

“…Methods The analysis involved data from a meta‐analysis of genome‐wide association studies sourced from the UK Biobank Genetics resources on rheumatoid arthritis (RA), osteoarthritis (OA) at any site, knee osteoarthritis (KOA), hip osteoarthritis (HOA), and LBP. Two‐sample Mendelian randomization analysis was utilized to evaluate the causal link between arthritis and LBP. …”
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Cerebrospinal fluid metabolites as potential biomarkers for epilepsy: Insights from genome‐wide association studies by Zhenxiang Zhao, Na Xing, Lin Hou

“…A total of 338 CSF metabolites were investigated as exposures, and 11 epilepsy phenotypes were examined as the outcomes. A two sample Mendelian randomization (MR) approach was utilized to explore the causal influence of these metabolites on epilepsy. …”
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Influenza vaccination in patients with acute heart failure (PANDA II): study protocol for a hospital-based, parallel-group, cluster randomized controlled trial in China by Yiqun Zhang, Rong Liu, Yangyang Zhao, Zhiyan Wang, Chi Wang, Qiang Li, Dorothy Han, Craig S. Anderson, Xin Du, Jianzeng Dong

“…Consecutive hospitalized patients at each site are enrolled to a target of 50 participants in each autumn–winter influenza outbreak period (October to March) over 3 consecutive years to reach the required sample size. Patients are centrally followed up at 1, 3, 6, and 12 months after hospital discharge (or death if earlier). …”
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Estimating Fe and Mg Abundances in the Milky Way Dwarf Galaxies Using Subaru/HSC and DEIMOS by Jihye Hong, Evan N. Kirby, Tiffany M. Tang, Masashi Chiba, Yutaka Komiyama, Lauren E. Henderson, Itsuki Ogami, Timothy C. Beers

“…Such trends, not detectable in earlier studies, are now captured owing to the substantially enlarged sample size and areal coverage provided by the HSC data. …”
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Evaluation of Parameters Affecting Earthquake Damage Using a GIS-based Random Forests Machine Learning Model: The Case of the 6 February 2023 Kahramanmaras Earthquakes in Türkiye by Emre Özşahin, Mikayil Öztürk

“…Therefore, data were produced to understand the differences in the behavior of structures in the case of an earthquake hazard in different parts of Türkiye. The study used sample data from 198,634 buildings with varying types of structural damage in residential areas where the earthquake had been felt. …”
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Unraveling the Controversy: The Causal Link Between Osteoarthritis and Alzheimer's Disease by Jingkai Di, Yujia Xi, Yaru Liu, Likun Qi, Tingting Chen, Shuai Chen, Chuan Xiang

“…Confounders were assessed by multivariate Mendelian randomization (MVMR). Results were reported as odds ratios (OR). …”
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Generation of 1 km high resolution Standardized precipitation evapotranspiration Index for drought monitoring over China using Google Earth Engine by Yile He, Youping Xie, Junchen Liu, Zengyun Hu, Jun Liu, Yuhua Cheng, Lei Zhang, Zhihui Wang, Man Li

“…After preprocessing such as gridding and sample balancing, a random forest regression model was constructed to achieve high spatial resolution prediction of SPEI. …”
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Genetically predicted metabolite mediates the causal relationship between immune cells and autoimmune diseases by Jinpeng Wei, Jian Li, Tianyang Li, Tao Xu, Yingchi Zhang, Shuhan Yang, Hua Wu, Haihu Hao

“…Abstract Background This study investigates the causal role of metabolites mediating immune cells in rheumatoid arthritis (RA) and ankylosing spondylitis (AS) through a Mendelian randomization (MR) study. Methods The two-sample and two-step MR methods were used for the current analysis: (1) causal effects of immune cells on RA and AS; (2) mediation effects of metabolites. …”
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Multi‐Omics Analyses Reveal Relationships Between Gut Microbiota and Frailty by Xinlei Hou, Luwen Zhu, Jiongliang Zhang, Xinyue Li, Donghui Yu, Yuting Wang, Yumeng Su, Xiangyu Wei, Hanwen Ma, Wenjing Song, Jinting Li, Lili Teng, Qiang Tang, Minmin Wu

“…A bidirectional, two‐sample Mendelian randomization (MR) analysis was performed to investigate the causal relationship between gut microbiota and frailty. …”
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Performance Assessment of Maximum Likelihood, Random Forest and Support Vector Machines Classifier for Urban Land Use Classification: A Case Study of Dhaka Metropolitan City, Bangl... by Ha-mim Ebne Alam, Md. Nizam Uddin, Kazi Tawkir Ahmed, Md. Jahidul Hasan, Md. Yeasir Arafat, Md. Enamul Hoque

“…The accuracy of frequently used methods for LULC classification was assessed in this study, where the Dhaka metropolitan area has been taken as a sample to observe the LULC. The classification was conducted by using three methods where the Support vector machines classification (SVMC) produced the best accuracy results of 83.2% overall accuracy and overall kappa coefficient value of 0.74 than both random forest classification (RFC) and maximum likelihood classification (MLC) methods with 86.34% and 83% spatial similarity rate respectively. …”
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Analysis of the relationship between environmental particulate matter exposure and congenital diseases, as well as the epidemiological trends and burden of impact on newborns by Mulati Julaiti, Dilixiati Wubuli, Tingting Cui, Nadire Nijiati, Pengfei Huang, Bowen Hu

“…Data from the UK Biobank and FinnGen databases were used to identify independent SNPs associated with environmental particulate. Two-sample Mendelian randomization methods were applied, and the Global Burden of Disease (GBD) database was leveraged to analyze the trends and burden of neonatal diseases from 1990 to 2021 and to forecast the burden for 2022–2052.Results: Significant causal associations were identified between PM2.5, PM10 and specific congenital malformations, including gallbladder, bile duct, liver anomalies, and malformations of the reproductive organs and broad ligaments. …”
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Sjögren’s syndrome is associated with a reduction in the surface area of the right caudal anterior cingulate gyrus by Ping Wang, Yunpeng Tai, Xiaofang Zhu, Xinyi Wan, An Sun, Jiajia Wang, Hui Cheng, Jingwei Hong, Yi Zhang, Xiaobing Wang

“…The relationship between cerebral cortex structure and neurological pathologies is well-documented, yet the impact of SS on cerebral cortex structure remains unclear. Methods A two-sample Mendelian randomization (MR) analysis was conducted using four single-nucleotide polymorphisms (SNPs) associated with SS. …”
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Neuropsychological and clinical variables associated with cognitive trajectories in patients with Alzheimer's disease by Marianna Riello, Monica Moroni, Stefano Bovo, Flavio Ragni, Manuela Buganza, Raffaella Di Giacopo, Marco Chierici, Lorenzo Gios, Matteo Pardini, Matteo Pardini, Federico Massa, Federico Massa, Monica Dallabona, Elisa Vanzetta, Cristina Campi, Cristina Campi, Michele Piana, Michele Piana, Sara Garbarino, Manuela Marenco, Venet Osmani, Giuseppe Jurman, Antonio Uccelli, Antonio Uccelli, Bruno Giometto, Bruno Giometto, NeuroArtP3 Network, Filippo Gerli, Guido Pasquini, Claudia Niccolai, Matteo Betti, Emilio Portaccio, Maria Pia Amato, Rossi Andrea, Parodi Costanza, Ramaglia Antonia, Tortora Domenico, Severino Mariasavina, Andrea Falini, Antonella Castellano, Nicolò Pecco, Paola Scifo, Sonia Calloni

“…We used Mini Mental State Examination (MMSE) scores as outcome to identify the factors associated with cognitive decline at follow up.MethodsA sample of N = 126 patients diagnosed with AD (MMSE >19) were followed during 3 years in 4 time-points: T0 for the baseline and T1, T2 and T3 for the years of follow-ups. …”
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Safety, acceptability, and pharmacokinetics of a monoclonal antibody-based vaginal multipurpose prevention film (MB66): A Phase I randomized trial. by Joseph A Politch, Susan Cu-Uvin, Thomas R Moench, Karen T Tashima, Jai G Marathe, Kate M Guthrie, Howard Cabral, Tara Nyhuis, Miles Brennan, Larry Zeitlin, Hans M L Spiegel, Kenneth H Mayer, Kevin J Whaley, Deborah J Anderson

“…Visits and clinical sampling occurred predose and at various time points after single and repeated film doses. …”
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The effectiveness of aloe vera gel versus 2% chlorhexidine gluconate in preventing phlebitis from peripheral venous catheters: A randomized controlled trial by Mahdiyeh Harati Nassab, Mozhgan Rahnama, Abdolghani Abdollahimohammad, Mahin Naderi Far

“…The study employed convenience sampling for participant recruitment, followed by permuted block randomization with a block size of six to allocate participants into three distinct groups, each comprising 30 patients. …”
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A Causal Effect of Serum 25(OH)D Level on Appendicular Muscle Mass: Evidence From NHANES Data and Mendelian Randomization Analyses by Qian Ren, Jinrong Liang, Yanmei Su, Ruijing Tian, Junxian Wu, Sheng Ge, Peizhan Chen

“…This study used data from the National Health and Nutrition Examination Survey (NHANES) and two‐sample Mendelian randomization (MR) analyses to ascertain the causal relationship between serum 25‐hydroxyvitamin D [25(OH)D] and appendicular muscle mass (AMM). …”
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Effect of leisure-time physical activity on depression and depressive symptoms in menopausal women: a systematic review and meta-analysis of randomized controlled trials by Rong Liu, Xun Tang

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