Availability and use of child safety seats among children aged 0-3 years by CHEN Bo，WANG Xihui，QIU Fengqian，YU Yan，GAO Shuna，HE Lihua，LI Weiyi，JI Yunfang，CHEN Weihua

“…Methods:Parents of children aged 0-3 years in Huangpu District, Shanghai Municipality, were recruited using the stratified multistage random sampling method from May to July 2024. Demographic information, family travel patterns, the use of child safety seat and related health beliefs were collected using questionnaire surveys. …”
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Perioperative estimations of oxygen consumption from LiDCO™plus-derived cardiac output and Ca-cvO2 difference: Relationship with measurements by indirect calorimetry in elderly pat... by Julia Jakobsson, Carl Norén, Eva Hagel, Magnus Backheden, Sigridur Kalman, Erzsébet Bartha

“…There was an overall association between GVO2 and EVO2, in a random coefficient model [GVO2 = 73(95% CI 62 to 83) + 0.45(95% CI 0.29 to 0.61) EVO2 ml min-1m-2, P<0.0001]. …”
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Pain complaints after consecutive nights and quick returns in Norwegian nurses working three-shift rotation: an observational study by Bjørn Bjorvatn, Mikko Härmä, Stein Knardahl, Morten Wærsted, Maria Katsifaraki, Kristian Bernhard Nilsen, Jan Olav Christensen, Dagfinn Matre

“…Sleep duration was tested as a potential mediator.Design Observational diary study.Setting Random hospitals.Participants Nurses with three-shift rotation (morning, evening and night), n=679, 22–63 years old.Outcomes measures Daily ratings of working hours, sleep and subjective pain complaints in six anatomical regions (head, neck/shoulder/upper back, upper extremity, low back, lower extremity and abdomen) for 28 days. …”
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Smoking as a risk factor for lung cancer in women and men: a systematic review and meta-analysis by Sanne A E Peters, Mark Woodward, Paul Mitchell, Rachel R Huxley, Gemma Taylor, Linda M O’Keeffe

“…The sex-specific RRs and their ratio comparing women with men were pooled using random-effects meta-analysis with inverse-variance weighting. …”
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Prevalence of non-vaccine high-risk HPV cervical infections in vaccinated women: a systematic review and meta-analysis by Glauciane Resende do Nascimento, Ana Carolina da Silva Santos, Nayara Nascimento Toledo Silva, Nathalia Sernizon Guilmarães, Angélica Alves Lima, Wendel Coura-Vital

“…For HPV 31/33/45 (PR = 0.60 [0.40–0.91]), HPV31 (PR = 0.47 [0.31–0.72]), and HPV 45 (PR = 0.38 [0.22–0.69]), a positive random effect was found. Conclusion The prevalence of non-vaccine HR-HPV cervical infection was high in women, regardless of vaccination status. …”
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Mirvetuximab Soravtansine in solid tumors: A systematic review and meta-analysis. by Shamsnur Rehim, Shuang Yuan, Hongjing Wang

“…The secondary endpoints were the Objective response rate (ORR) and adverse effects (AEs). A random-effects model was applied.<h4>Results</h4>The study included nine research studies with a total of 682 patients. …”
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Effect of Hot Compress Therapy with Sizi Powder Combined with Rehabilitation Training for Shoulder-hand Syndrome after Stroke by Mei LI, Lechang ZHAN, Ruihuan PAN, Leying ZHU, Hongxia CHEN

“…Objective:To observe the effect of hot compress therapy with Sizi Powder combined with rehabilitation training for shoulder-hand syndrome after stroke.Methods:A total of 70 patients with shoulder-hand syndrome after stroke were divided into observation group and control group according to the random number table method, with 35 cases in each group. …”
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Downscaling and Projection of Multi-CMIP5 Precipitation Using Machine Learning Methods in the Upper Han River Basin by Ren Xu, Nengcheng Chen, Yumin Chen, Zeqiang Chen

“…Support vector machine for regression (SVR) was superior to multilayer perceptron (MLP) and random forest (RF). The downscaling results based on the BMA ensemble simulation and SVR models were regarded as the best performing overall (PCC, RMSE, and Rbias were 0.82, 35.07, mm and −5.45%, respectively). (3) Based on BMA and SVR models, the projected precipitations show a weak increasing trend on the whole under RCP4.5 and RCP8.5. …”
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Enhancing Tropical Cyclone Risk Assessments: A Multi-Hazard Approach for Queensland, Australia and Viti Levu, Fiji by Jane Nguyen, Michael Kaspi, Kade Berman, Cameron Do, Andrew B. Watkins, Yuriy Kuleshov

“…This study develops an integrated methodology for TC multi-hazard risk assessment that utilises the following individual assessments of key TC risk components: a variable enhanced bathtub model (VeBTM) for storm surge-driven hazards, a random forest (RF) machine learning model for rainfall-induced flooding, and indicator-based indices for exposure and vulnerability assessments. …”
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Comparison of Brain Activation Between Different Modes of Motor Acquisition: A Functional Near‐Infrared Study by Meng‐Hsuan Tsou, Pei‐Yun Chen, Yi‐Ting Hung, Yong‐Wei Lim, Shiuan‐Ling Huang, Yan‐Ci Liu

“…Each task was performed three times in a random order. Brain activation in the supplementary motor area (SMA), premotor cortices (PMC), and primary motor cortices (M1) during tasks was measured using functional near‐infrared spectroscopy through 16 source‐detector channels. …”
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Machine-learning-based cost prediction models for inpatients with mental disorders in China by Yuxuan Ma, Xi Tu, Xiaodong Luo, Linlin Hu, Chen Wang

“…Performance of these six algorithms was evaluated through 5- old cross-validation combined with bootstrap method to select the most suitable algorithm and identify key factors influencing ADHC. Results The random forest (RF) model demonstrated better performance (R-squared (R2) = 0.6417 (95% CI, 0.6236–0.6611), root-mean-square error (RMSE) = 0.2398 (95% CI, 0.2252–0.2553), mean-absolute error (MAE) = 0.1677 (95% CI, 0.1626–0.1735), mean-absolute-percentage error (MAPE) = 0.0295 (95% CI, 0.0287–0.0304)). …”
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Meta-analysis of Efficacy and Safety of Fire Acupuncture in Treatment of Ganglion Cyst by Yanan LIU, Yihong ZHOU, Xiaokang JIA, Lijin JI, Li ZHOU

“…When <italic>P</italic>&lt; 0.1 or <italic>I</italic>²&gt; 50%, the random effect model was selected, otherwise the fixed effect model was selected. …”
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Efficient Path Planning and Formation Control in Multi-Robot Systems: A Neural Fields and Auto-Switching Mechanism Approach by Raouf Fareh, Mohammed Baziyad, Tamer Farouk Rabie, Sofiane Khadraoui, Mohammad Habibur Rahman

“…The effectiveness of this approach is validated through experiments, demonstrating significant improvements in execution speed, path smoothness, and overall system stability compared to competitive methods, including well-known techniques such as A*, Probabilistic RoadMap (PRM), Rapidly-exploring Random Tree Star (RRT*), and also against recent optimization techniques including Grey Wolf Optimization (GWO) and Whale Optimization Algorithm (WOA).…”
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A study of disability and socio-economic impact of mental morbidities from the state of Madhya Pradesh, India by Vijender Singh, Roshan F. Sutar, Suruchi Gupta, Abhijit P. Pakhare, Arun M. Kokane, B. A. Aravind, Gopalkrishna Gururaj, Mathew Varghese, Vivek Benegal, Girish N. Rao

“…Samples were selected using multi-stage, stratified, random cluster sampling based on probability proportionate to size. …”
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An interventional study on the application of heart-collateral-based enlightenment words intervention in anxiety and depression of patients after percutaneous coronary intervention by Xing-Lan Sun, Hui-Lin Zhou, Feng-Yi Yi, Meng-Die Liu, Xiao-Yun Xiong, Yi-Wei Hu, Jiang-Qin Xu, Hao-Deng-Jie Xiong, Yu-Jie Song, Zhi-Lin Zhang

“…They were divided into the test group (n = 50) and the control group (n = 50) based on the random number table. The heart-collateral-based enlightenment words intervention was used in the test group versus routine nursing in the control group. …”
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Impact of gas flaring on acute respiratory distress among pregnant women and newborn babies in Delta State Central Senatorial District, Nigeria by Omatseye Alero Akuirene, John Esimaje Moyegbone, Charity Omoikhekpen Chukumah, Mercy Ebiyemi Kalaroo, Josiah Obaghwerhievwo Adjene, Emmanuel Agbonomhen Agege, Joseph Onyedenyifa Odoko, Ezekiel Uba Nwose

“…Materials and methods: A descriptive cross-sectional survey involving 483 pregnant women of reproductive age, antenatal caregivers and healthcare professionals at health facilities in Delta State Central Senatorial District. Using a multi-stage random sampling technique, a structured survey questionnaire was used to collect respondents’ RDS experiences and that of their new borne. …”
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Coffee, including caffeinated and decaffeinated coffee, and the risk of hepatocellular carcinoma: a systematic review and dose–response meta-analysis by Paul Roderick, Peter Clive Hayes, Julie Parkes, Ryan Buchanan, Oliver John Kennedy, Jonathan Andrew Fallowfield

“…We calculated relative risks (RRs) of HCC according to caffeinated and decaffeinated coffee consumption using a random-effects dose–response meta-analysis. We tested for modification of the effect estimate by HCC aetiology and pre-existing liver disease. …”
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The Role of Probiotics in Managing Glucose Homeostasis in Adults with Prediabetes: A Systematic Review and Meta-Analysis by Chao Sun, Qingyin Liu, Xiaona Ye, Ronghua Li, Miaomiao Meng, Xingjun Han

“…Data were pooled using a random effects model and were expressed as standardized mean differences (SMDs) and 95% confidence interval (CI). …”
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Identification of key genes affecting intramuscular fat deposition in pigs using machine learning models by Yumei Shi, Yumei Shi, Xini Wang, Shaokang Chen, Yanhui Zhao, Yan Wang, Xihui Sheng, Xiaolong Qi, Lei Zhou, Yu Feng, Jianfeng Liu, Chuduan Wang, Kai Xing

“…A total of 155 DEGs were identified using a limma package between the two groups. 100 and 11 significant genes were identified by support vector machine recursive feature elimination (SVM-RFE) and random forest (RF) models, respectively. A total of six intersecting genes were in both models. …”
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Assessing Electricity Supply Reliability by Detection of Anomalies in Daily Nighttime Light by Miaoying Chen, Yang Hu, Xin Cao, Shijie Li, Luling Liu

“…Anomalies with actual power outages were validated at 200 random points in Johannesburg, South Africa. The results show that the method effectively overcomes the impact of angular effect and successfully detects the power outage signals with an overall accuracy of 89.41&#x0025;, precision of 83.78&#x0025;, and recall of 84.64&#x0025;. …”
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