Parameter space exploration within dynamic simulations of signaling networks by Cristina De Ambrosi, Annalisa Barla, Lorenzo Tortolina, Nicoletta Castagnino, Raffaele Pesenti, Alessandro Verri, Alberto Ballestrero, Franco Patrone, Silvio Parodi

“…We explored robustness/sensitivity to random perturbations. It turns out that our MIM is a non-isomorphic directed graph. …”
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Evaluating the spatiotemporal patterns of GPP and tree growth for their response to CO2 fertilization effects in mid-latitude forests of China by Bin Wang, Xiangqi Kong, Shaojie Bian, Ying Quan, Zechuan Wu, Jianyang Liu, Mingze Li

“…This was combined with the random forest algorithm and a moving window approach to assess the spatiotemporal patterns of vegetation productivity and tree growth responses to atmospheric CO2 variations between 1982 and 2015. …”
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Distress and coping mechanisms among people with diabetes: cross-sectional assessment from an NCD screening clinic of a tertiary care hospital in North India by Madhur Verma, Shivani Sidana, Prakash Kumar, Omna Singh, Vandana Esht, Karthick Balasubramanian, Nitin Kapoor, Rakesh Kakkar, Sanjay Kalra

“…Methods Cross-sectional study was conducted among 596 clinically stable, ambulatory PWD visiting the NCD clinic of a tertiary care centre in North India between June 2023 and January 2024 and recruited using a systematic random sampling technique. DD was the primary dependent variable assessed using the Hindi version of the Diabetes Distress Scale (DDS). …”
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Construction of machine learning-based models for screening the high-risk patients with gastric precancerous lesions by Shuxian Yu, Haiyang Jiang, Jing Xia, Jie Gu, Mengting Chen, Yan Wang, Xiaohong Zhao, Zehua Liao, Puhua Zeng, Tian Xie, Xinbing Sui

“…Then, the prediction model was established using ten different machine learning algorithms and the Random Forest (RF) model achieved the highest accuracy at 85.65%. …”
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Exploring the efficacy of psychotherapies for depression: a multiverse meta-analysis by Eirini Karyotaki, Pim Cuijpers, Constantin Yves Plessen, Clara Miguel, Marketa Ciharova

“…We defined all possible meta-analyses emerging from combinations of these inclusion criteria and estimated the resulting pooled effect sizes with fixed-effect, random-effects, 3-level, robust variance estimation, p-uniform and PET-PEESE (precision-effect test and precision-effect estimate with SE) meta-analysis models. …”
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Oxidative potential and persistent free radicals in dust storm particles and their associations with hospitalization by Linjun Qin, Lili Yang, Ling Liu, Shilu Tong, Qian Liu, Gang Li, Haiyan Zhang, WuYuxin Zhu, Guorui Liu, Minghui Zheng, Guibin Jiang

“…We mapped the OP and EPFRs concentrations at 1735 sites in China during SDS periods using experimental data for 2021–2023 and a random forest model. We examined 855,869 hospitalizations during SDS events for 2015–2022 in Beijing, China. …”
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Treating chronic kidney disease in Danish primary care: results from the observational ATLAS study by Morten Lindhardt, Søren Tang Knudsen, Thomas Saxild, Morten Charles, Rikke Borg

“…Setting In all 128 primary care clinics in Denmark of 211 randomly invited and a quetionnaire completed by 125/128 participating PCPs. …”
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Diabetes Mellitus Is Associated with a Lower Risk of Gout: A Meta-Analysis of Observational Studies by Xiaoli Li, Lianju Li, Yuling Xing, Tiantian Cheng, Shaohui Ren, Huijuan Ma

“…The multivariate adjusted relative risks (aRR) and corresponding 95% confidence intervals (CI) were pooled based on a random-effect model. Cochran’s Q test and I2 were used to evaluate heterogeneity. …”
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Factors associated with hospital length of stay in patients admitted with suspected malaria in Kenya: secondary analysis of a cross-sectional survey by Hillary Kipruto, Beatrice Machini, Jacqueline Chesang, Beatrice Amboko, Thomas N O Achia

“…The cumulative incidence of discharge significantly decreased (p<0.05) by 12.7% (subdistribution-HR (SDHR): 0.873; 95% CI 0.789 to 0.967) when the respiratory rate was assessed, by 14.1% (SDHR 0.859; 95% CI 0.754 to 0.978) when oxygen saturation was monitored, by 23.1% (SDHR 0.769; 95% CI 0.709 to 0.833) and 23.4% (SDHR 0.766; 95% CI 0.704 to 0.833) when haemoglobin/haematocrit and glucose/random blood sugar were performed, respectively, and by 30.4% (SDHR 0.696; 95% CI 0.626 to 0.774) when patients had at least one clinical feature of severe malaria. …”
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A Coupling Method for the Stability of Reflectors and Support Structure in an ALB Optical-Mechanical System by Guoqing Zhou, Jianyin Liu, Ke Gao, Rundong Liu, Yi Tang, Angte Cai, Xiang Zhou, Jiasheng Xu, Xiaolan Xie

“…Additionally, it is discovered that the maximum acceleration response of the reflector mirror under the applied 1 g acceleration excitation reaches 4.22 g when carrying out the dynamics analysis of the support structure. Under random vibration analysis, the maximum acceleration RMS value of the reflector mirror assembly reaches 2.18 g, and the maximum stress of the flexible device of the support structure reaches 2.65 MPa. …”
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Here and there: the double-side transgene localization by P. A. Salnikov, A. A. Khabarova, G. S. Koksharova, R. V. Mungalov, P. S. Belokopytova, I. E. Pristyazhnuk, A. R. Nurislamov, P. Somatich, M. M. Gridina, V. S. Fishman

“…Random transgene integration is a powerful tool for developing new genome-wide screening approaches. …”
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Evaluation of Four Multiple Imputation Methods for Handling Missing Binary Outcome Data in the Presence of an Interaction between a Dummy and a Continuous Variable by Sara Javadi, Abbas Bahrampour, Mohammad Mehdi Saber, Behshid Garrusi, Mohammad Reza Baneshi

“…MI methods included using predictive mean matching with an interaction term in the imputation model in MICE (MICE-interaction), classification and regression tree (CART) for specifying the imputation model in MICE (MICE-CART), the implementation of random forest (RF) in MICE (MICE-RF), and MICE-Stratified method. …”
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Beverages and sugar-sweetened beverages consumption pattern and amount among adolescents using beverage frequency questionnaire: cross-sectional study by Tahrir M. Aldhirgham, Hanan A. Alfawaz, Nasser M. Al-Daghri

“…Participants(n = 316) were recruited in Riyadh city using a multistage clustered stratified random sampling technique based on region and gender. …”
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Pregnant Women's Knowledge And Attitudes About High-Risk Pregnancy: The Effect of Using the JIPH Educational Application by Farming Nawir, Kartini, Sitti Aisa, Fitriati Zabur

“…Method:A quasi-experimental design was used for this study, with a sample of 100 pregnant women divided into two groups: the intervention group (who received education through the JIHP Android application) and the control group (who did not receive education via the ebumil application). Simple random sampling was applied. The study variables were the knowledge and attitudes of pregnant women, and data were collected using questionnaires on these two aspects. …”
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QTL mapping of human retina DNA methylation identifies 87 gene-epigenome interactions in age-related macular degeneration by Jayshree Advani, Puja A. Mehta, Andrew R. Hamel, Sudeep Mehrotra, Christina Kiel, Tobias Strunz, Ximena Corso-Díaz, Madeline Kwicklis, Freekje van Asten, Rinki Ratnapriya, Emily Y. Chew, Dena G. Hernandez, Sandra R. Montezuma, Deborah A. Ferrington, Bernhard H. F. Weber, Ayellet V. Segrè, Anand Swaroop

“…Methylation and expression quantitative trait loci show non-random distribution and enrichment of biological processes related to synapse, mitochondria, and catabolism. …”
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Deep-Learning-Driven Insights into Nitrogen Leaching for Sustainable Land Use and Agricultural Practices by Caixia Hu, Jie Li, Yaxu Pang, Lan Luo, Fang Liu, Wenhao Wu, Yan Xu, Houyu Li, Bingcang Tan, Guilong Zhang

“…A machine learning (ML) model for predicting nitrate leaching was then developed, with the random forest (RF) model outperforming the support vector machine (SVM), extreme gradient boosting (XGBoost), and convolutional neural network (CNN) models, achieving an R² of 0.75. …”
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Cognitive impairment and self-reported health outcomes among older adults: Longitudinal evidence from Australia by Rezwanul Haque, Khorshed Alam, Jeff Gow, Christine Neville, Syed Afroz Keramat

“…The final analysis consisted of 11,146 person-year observations from 7035 unique individuals from Wave 2012 and Wave 2016, respectively. A longitudinal random-effects generalised least squares, and ordered logistic regression were used to analyse the association between cognitive impairment and health outcomes. …”
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The study of pubertal stage and age of menarche in girls in Isfahan province, Iran by Nafiseh Mozafarian, Mahin Hashemipour, Mohammad Reza Maracy, Masoumeh Pourrajab, Razieh Omidi, Roya Kelishadi

“…They were selected by multistage random cluster sampling from urban and rural areas of Isfahan province of Iran. …”
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Impact of Adjuvant Use of Midodrine to Intravenous Vasopressors: A Systematic Review and Meta-Analysis by Ahmad Al-Abdouh, Sadam Haddadin, Atul Matta, Ahmad Jabri, Mahmoud Barbarawi, Waiel Abusnina, Qais Radideh, Mohammed Mhanna, Dante A. Suffredini, Erin D. Michos

“…A total of 6 studies were found that met inclusion criteria and had sufficient data for our quantitative analysis (1 randomized controlled trial and 5 retrospective studies). …”
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Association between elevated cystatin C levels and obstructive sleep apnea hypopnea syndrome: a systematic review and updated meta-analysis by Nianying Fu, Xiaotao Tan, Jie He

“…A fixed-effect model was utilized in cases where heterogeneity was not significant (I 2  < 50%). Otherwise, a random-effect model was employed. Statistical analysis was executed utilizing STATA 11.0, GraphPad Prism 8, and R 4.1.3. …”
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