Unraveling the interplay between NDVI, soil moisture, and snowmelt: A comprehensive analysis of the Tibetan Plateau agroecosystem by Di Wei, Lin Yan, Ziqi Zhang, Jia Yu, Xue’er Luo, Yun Zhang, Bo Wang

“…Using geostatistical methods such as trend analysis, cross-correlation, random forest algorithm, and Granger causality, we explore the temporal dynamics and causal relationships among these ecological variables. …”
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Sustainable foam glass property prediction using machine learning: A comprehensive comparison of predictive methods and techniques by Mohamed Abdellatief, Leong Sing Wong, Norashidah Md Din, Ali Najah Ahmed, Abba Musa Hassan, Zainah Ibrahim, G. Murali, Kim Hung Mo, Ahmed El-Shafie

“…In this context, the current study proposes a novel approach by developing a thoughtful system for assessing performance and intelligent design utilizing ML models such as Gradient Boosting (GB), Random Forest (RF), Gaussian Process Regression (GPR), and Linear Regression (LR) to predict porosity and compressive strength (CS) of FG. …”
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Low albumin-to-creatinine ratios (ACR) are associated with poor outcomes in cancer patients by Hong Zhao, Xiangrui Li, Xiaoyue Liu, Chenan Liu, Xin Zheng, Yue Chen, Jinyu Shi, Qiteng Liu, Zhaoting Bu, Hanping Shi

“…Patients were divided into a training cohort (n = 12,027) and a validation cohort (n = 7,985) using simple random sampling. Correlation analysis, Kaplan–Meier method, and restricted cubic spline analysis were conducted to explore ACR's relationship with overall survival (OS). …”
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Effect of Rehabilitation Robot Combined with Upper Limb Rehabilitation Training on Hemiplegic Patients in Recovery Stage of Stroke by LI Yuqi, HUANG Guozhi, LU Pengcheng, HE Longlong, HUANG Wenhao, HUANG Chuhong, ZENG Qing

“…Objective: To observe the effect of upper limb rehabilitation robot combined with upper limb rehabilitation training on motor function of upper extremity of hemiplegic patients in recovery stage of stroke.MethodsA total of 40 hemiplegic patients in recovery stage of stroke who were treated in the Zhujiang Hospital of Southern Medical University from October 2018 to January 2020, which were randomly divided into the control group and the observation group according to the random number table method, with 20 cases in each group. …”
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Gender differences of health literacy in persons with a migration background: a systematic review and meta-analysis by Elke Kalbe, Nicole Skoetz, Christiane Woopen, Digo Chakraverty, Annika Baumeister, Angela Aldin, Ümran Sema Seven, Ina Monsef

“…Health literacy data were extracted from eligible studies or requested from the respective authors. Using a random-effects model, a meta-analysis was conducted to assess standardised mean differences (SMDs) of health literacy in men and women. …”
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Identification of Differentially Expressed Genes in Metastatic and Non-Metastatic Nasopharyngeal Carcinoma Cells by Suppression Subtractive Hybridization by Xu-Yu Yang, Cai-Ping Ren, Lei Wang, Hui Li, Chun-Jie Jiang, Hong-Bo Zhang, Ming Zhao, Kai-Tai Yao

“…Results & Discussion: The SSH library contained thousands of positive clones. Random analysis of 300 clones by PCR demonstrated that 269 clones contained inserted fragments. …”
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The effects of PM2.5 components on the cardiovascular disease admissions in Shanghai City, China: a multi- region study by Wanying Su, Heping Liu, Tiantian Han, Yunyun Wang, Yi An, Yan Lin

“…Then, the three regions were pooled for analysis using either a random-effects model or a fixed-effects model. Results Overall, all five PM2.5 components had significant effects on CVD admission risk. …”
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Long-Term Results of Medical and Surgical Methods for Elimination of the Internal Anal Sphincter Spasm in Chronic Anal Fissure (NCT03855046) by S. I. Achkasov, R. Yu. Khryukin, E. E. Zharkov, A. A. Ponomarenko, O. Yu. Fomenko, N. I. Klopkov, Z. Z. Kamaeva, E. Yu. Lebedeva, K. I. Sagidova

“…The study included 176 patients (73 (41.5 %) men and 103 (58.5 %) women) older than 18 years; randomization into the compared groups was carried out by random number generation in a computer program. …”
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Prediction model, risk factor score and ventilator-associated pneumonia: A two-stage case-control study by Hua Meng, Yuxin Shi, Kaming Xue, Di Liu, Xiongjing Cao, Yanyan Wu, Yunzhou Fan, Fang Gao, Ming Zhu, Lijuan Xiong

“…We constructed a prediction model by least absolute shrinkage and selection operator (LASSO), random forest (RF), and extreme gradient boosting (XGBoost) models in 363 patients and 363 controls, and weighted RFS was calculated based on significant predictors. …”
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The Influencers and the Adoption of New Products: Model for the Influencer Marketing by Henen Oulhi

“…Due to the broad scope of the study population, the researcher adopted a simple random sampling technique, with the sample size determined using Richard Geiger’s formula, resulting in a representative sample of 384 participants. …”
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Prevalence and spatial distribution of workplace violence against emergency medical staff in China: a cross-sectional study by Ruofan ZHANG, Jing FENG, Ge QU, Xinyan LI, Zihui LEI, Yuchao SUN, Aoqi SHEN, Chuanzhu LV, Xingyue SONG, Yong GAN

“…MethodsA multi-stage random sampling method was used to conduct a survey of 34 819 ED medical staff in 31 provincial administrative regions in China from July to September 2019. …”
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Effects of feature selection and normalization on network intrusion detection by Mubarak Albarka Umar, Zhanfang Chen, Khaled Shuaib, Yan Liu

“…The models were evaluated using popular evaluation metrics in IDS modeling, intra- and inter-model comparisons were performed between models and with state-of-the-art works. Random forest (RF) models performed better on NSL-KDD and UNSW-NB15 datasets with accuracies of 99.86% and 96.01%, respectively, whereas artificial neural network (ANN) achieved the best accuracy of 95.43% on the CSE–CIC–IDS2018 dataset. …”
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Prevalence of Food Insecurity and Its Associated Factors among Adult People with Human Immunodeficiency Virus in Ethiopia: A Systematic Review and Meta-Analysis by Hagos Degefa Hidru, Haftay Gebremedhine, Alem Gebretsadik, Hirut Teame, Hadush Negash, Meresa Berwo Mengesha

“…Studies were retrieved from selected electronic data bases, including PubMed/Medlin, Cochrane library, Sciences Direct, Google, and Google Scholar. Random-effects model meta-analysis was used to estimate the pooled prevalence of food insecurity and its associated factors at 95% confidence interval with odds ratio (OR) using statistical R-software version 3.6.1. …”
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Prevalence of hypertension in Shenzhen, China: a population-based, cross-sectional study by Ke Peng, Ji Peng, Yirong Wang, Weicong Cai, Lin Lei, Rencheng Zhao, Fangjiang Liu, Kaihao Lin, Fengzhu Xie

“…This study was designed to investigate the prevalence, awareness, treatment and control of HTN and the associated factors among adult residents in Shenzhen, China.Design Population-based, cross-sectional study.Participants Through the multistage stratified random sampling method, a representative sample of 10 043 urban population aged ≥18 years were selected. …”
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Efficacy and Safety of Transcranial Magnetic Stimulation for Attention‐Deficit Hyperactivity Disorder: A Systematic Review and Meta‐Analysis by Binbin Fu, Xiangyue Zhou, Xuan Zhou, Xin Li, Zhengquan Chen, Yanbin Zhang, Qing Du

“…The effect size of the TMS treatment was evaluated using the standardized mean difference (SMD) with a 95% confidence interval (CI), calculated with either a random effects model or fixed effects model depending on the level of heterogeneity. …”
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Efficacy and Safety of Recombinant Human Thrombopoietin (rhTPO) on Coagulation Function and Inflammatory Factors in the Treatment of Patients with Sepsis-Related Thrombocytopenia by Huijuan Wang MD, Dong Chen MD, Ming He MD

“…Methods a total of 144 patients with sepsis-associated thrombocytopenia, admitted to our hospital between 2022 and 2023, were selected for the study. The patients were randomly divided into two groups using a random number table: the control group (Group C, n = 72) and the research group (Group R, n = 72). …”
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Effects of music training on executive functions in preschool children aged 3–6 years: systematic review and meta-analysis by Yanan Lu, Lin Shi, Lin Shi, Ahmad Faudzi Musib

“…While numerous studies have found that music training has a favorable effect on children’s executive functions, there is a lack of a consistent perspective on this topic, particularly with regard to the dose–response relationship.MethodsSystematic searches were conducted of Web of Science, PubMed, Scopus, and China National Knowledge Infrastructure. A random-effects meta-analysis was used to compute standardized mean differences (SMD) and 95% confidence intervals (CI).ResultsIn all, 10 studies were included in the meta-analysis, in which children’s music training groups showed significantly improved inhibitory control (SMD = 0.38, 95% CI: 0.16–0.6), working memory (SMD = 0.35, 95% CI: 0.16–0.54), and cognitive flexibility (SMD = 0.23, 95% CI: 0.04–0.42) in comparison with control groups. …”
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Radiation knowledge and anxiety levels among residents proximity to the world’s first AP1000 nuclear power unit by Jiadi Guo, Zhiqiang Xuan, Cuiping Lei, Taotao Zheng, Zhongjun Lai, Xiaoji Hao, Shunfei Yu, Yiyao Cao

“…ObjectiveAssess the level of radiation-related knowledge (RRK) and nuclear energy-related knowledge (NERK) among residents near the Sanmen Nuclear Power Plant, the first project adopted the Advanced Passive Pressurized Water Reactor (AP1000) technology.MethodsIn this study, respondents were selected using stratified multi-stage random sampling for residents aged 18 years and above living within 30 kilometers of the Sanmen Nuclear Power Station. …”
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Adherence and efficacy outcomes in young Australians with suicidal ideation using a self-management app and digital engagement strategy compared with a sham app: a three-arm random... by Michelle Torok, Lauren McGillivray, Daniel Z.Q. Gan, Jin Han, Sarah Hetrick, Quincy J.J. Wong

“…Significant reductions in ideation scores were observed in the combined intervention condition at 60– (d 0.48) and 120– (d 0.29) days after random assignment compared to the control condition. …”
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Hard and soft tissue alterations after the application of different soft tissue grafting materials during immediate dental implant placement: a systematic review and Bayesian netwo... by Ali Azadi, Fatemeh Rezaei, Atoosa Yazdani, Kimia Hejazi, Aryousha Moallem Savasari, Reza Amid, Mahdi Kadkhodazadeh

“…in PubMed, Scopus, and ISI Web of Science, randomized controlled clinical trials (RCTs) using different soft tissue grafts were identified and analyzed using a Bayesian random-effect network meta-analysis framework. …”
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