Digital technologies for water use and management in agriculture: Recent applications and future outlook by Carlos Parra-López, Saker Ben Abdallah, Guillermo Garcia-Garcia, Abdo Hassoun, Hana Trollman, Sandeep Jagtap, Sumit Gupta, Abderrahmane Aït-Kaddour, Sureerat Makmuang, Carmen Carmona-Torres

“…UAV-mounted multispectral cameras) can accurately monitor soil moisture to optimise irrigation scheduling, while AI-driven models (e.g. random forest or neural networks) can predict groundwater recharge or forecast rainfall events. …”
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Forest Fire Clustering: A Novel Tool for Identifying Star Members of Clusters by Xingyin Wei, Jing Chen, Su Zhang, Feilong He, Yunbo Zhao, Xuran He, Yongjie Fang, Xinhao Chen, Hao Yang

“…We use a Gaia DR3 catalog comprising 322 random objects with distinct heliocentric distances from approximately 0 to 5 kpc, along with one ultrafaint dwarf galaxy Bootes I (∼63 kpc), as our validation sample. …”
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Designing a Model for Demand Side Management in Electricity Sector Based on Collaborative Governance by Gholamreza kazemian, Mohammadreza Raecy, Reza Vaezi, Vajollah Ghorbanizadeh

“…The sample comprised 198 individuals, determined as statistically significant according to the Cochran formula, with participants chosen via simple random sampling. Results The study's findings highlighted four critical variable categories pertinent to DSM governance: Initiative Conditions, Governmental Strategies, Collaborative Cycle, and Consequences. …”
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Concentrations and human health risks attributed to potentially toxic elements (PTEs) in water resources in China: Systematic review and meta-analysis by Xiaomei Hui, Anhui Li, Sheng Chang, Aihua Wang, Lu Wang, Chao Li

“…The concentration of PTEs was meta-analyzed using random effects model in water resources (surface water and groundwater) and location of study (urban and rural locations) subgroups. …”
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Comparison of efficacy and safety between palonosetron and ondansetron to prevent postoperative nausea and vomiting in patients undergoing non-laparoscopic surgery: A systematic re... by Babu Lal, Ragavi Alagarsamy, Jitendra Kumar, Anshul J. Rai, Vineeta Yadav, Rajnish Joshi, Md. Yunus

“…A meta-analysis of the efficacy and safety groups was performed using a random-effects model. Results: Nineteen randomised controlled trials were included. …”
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Characterization of microplastics in human follicular fluid and assessment of their potential impact on mouse oocyte maturation in vitro by Danyu Ni, Kaidi Yu, Nan Yan, Xiaojiao Chen, Qijun Xie, Yuqin Yang, Wei Jiang, Ye Yang, Junqiang Zhang, Xiufeng Ling

“…The most abundant MPs were Chlorinated Polyethylene (CPE), Fluorosilicone rubber, Polyvinyl chloride (PVC), Butadiene rubber (BR), and Styrene-butadiene-styrene (SBS), with diameters ranging from 20 to 100 μm. Five random samples were analyzed by pyrolysis-gas chromatography-mass spectrometry, which detected four types of microplastics—Polyethylene (PE), Polypropylene (PP), Polystyrene (PS), and PVC—at varying concentrations. …”
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Meta-Analysis of Acupuncture on Physical and Activity Participation Related Functions of Children with Autism Spectrum Disorders by CHEN Qiang, KAN Mengfan, JIANG Xiaoyu, LIU Huifen, SUN Wenyu, BI Hongyan

“…If <italic>P</italic>&lt;0.1 and <italic>I</italic>²&gt;50%, a random effects model would be used.ResultsA total of 13 RCTs with 730 patients were included. …”
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Uncovering women's healthcare access challenges in low- and middle-income countries using mixed effects modelling approach: Insights for achieving the Sustainable Development Goals... by Bewuketu Terefe, Belayneh Shetie Workneh, Gebreeyesus Abera Zeleke, Enyew Getaneh Mekonen, Alebachew Ferede Zegeye, Agazhe Aemro, Berhan Tekeba, Tadesse Tarik Tamir, Mulugeta Wassie, Mohammed Seid Ali

“…The mixed-effects model takes into account clustering within countries and allows for the examination of fixed and random effects that influence women's healthcare access across LMICs. …”
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Efficacy and Safety of Ultrasound-Guided Radiofrequency Treatment for Chronic Pain in Patients with Knee Osteoarthritis: A Systematic Review and Meta-Analysis by Yuzhao Huang, Qiufang Deng, Liuqing Yang, Jiahui Ma, Ziyang Wang, Dong Huang, Ling Luo, Haocheng Zhou

“…The primary outcomes of pain intensity (visual analogue scale or numerical rating scale) and knee function [the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC)] were evaluated from baseline to various follow-up times by random-effects model. Heterogeneity was assessed by I2 statistic and the potential sources of heterogeneity by subgroup and metaregression analyses, respectively. …”
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Vegetation disturbance and regrowth dynamics in shifting cultivation landscapes by Yamini Bhat, Subrata Nandy, Krishna Das, Muna Tamang, Hitendra Padalia, Arun Jyoti Nath, Koushik Majumdar, Rocky Pebam, Pynkhlainbor Thongni, Bandana Kurmi, Ashesh Kumar Das, S. P.S. Kushwaha, R. P. Singh

“…., forests and trees outside forests, rubber plantation, shifting cultivation, water bodies, agriculture, and settlements, were mapped with an accuracy of 83.08% using a random forest classifier. This classification enabled the identification of the effective study area, which included forest areas with shifting cultivation patches. …”
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Development and validation of a nomogram model for prolonged length of stay in spinal fusion patients: a retrospective analysis by Linghong Wu, Xiaozhong Peng, Yao Lu, Cuiping Fu, Liujun She, Guangwei Zhu, Xianglong Zhuo, Wei Hu, Xiangtao Xie

“…Least absolute shrinkage and selection operator (LASSO) regression was performed on the training sets to screen variables, and the importance of independent variables was ranked via random forest. In addition, various independent variables were used in the construction of models 1 and 2. …”
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Prediction of Causative Genes in Inherited Retinal Disorders from Spectral-Domain Optical Coherence Tomography Utilizing Deep Learning Techniques by Yu Fujinami-Yokokawa, Nikolas Pontikos, Lizhu Yang, Kazushige Tsunoda, Kazutoshi Yoshitake, Takeshi Iwata, Hiroaki Miyata, Kaoru Fujinami, on behalf of Japan Eye Genetics Consortium

“…This process was repeated four times with random assignment to training and test sets to control for selection bias. …”
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Weighted EHR-based prevalence estimates for hypertension at the state and local levels in Louisiana by Wenjun Li, Meng Zhang, Jie Cheng, Sandra L. Jackson, Adam S. Vaughan, Michael Klompas, Thomas W. Carton, Elizabeth Nauman, Lee Mendoza, Arun Adhikari, Jeanie Donovan, Katherine H. Hohman

“…Although electronic health record (EHR) data have great potential for surveillance, population coverage is non-random, which may result in biased estimates. Statistical approaches are needed to adjust estimates to represent the underlying population and validate the results against independent estimates. …”
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Guidance and Counselling and Learners’ Discipline in Kasese District: A Case of Selected Government-Aided Secondary Schools in Bukonzo County. by Kule, Samson

“…To get the sample population, purposive sampling and stratified proportionate random sampling techniques were preferred to select the different categories of respondents. …”
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Guidance and Counselling and Learners’ Discipline in Kasese District: A Case of Selected Government-Aided Secondary Schools in Bukonzo County. by Kule, Samson

“…To get the sample population, purposive sampling and stratified proportionate random sampling techniques were preferred to select the different categories of respondents. …”
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Individual Attitude and Youth Unemployment in Nyakagyeme Sub-County Rukungiri District. by Ainamani, Viola

“…The researcher used simple random sampling, census, and convenience sampling. …”
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Effects of Teenage Pregnancy on Girl Child Education in Buhunga Sub-County Uganda. by Twikirize, Edwig

“…This study used purposive and simple random sampling to select 92 primary school teachers; 5 medical nurses; 10 religious leaders; 3 doctors; 28 VHTs; 01 CDO; the individuals; 01 L.C.III; 02 L.C. …”
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Deciphering key nano-bio interface descriptors to predict nanoparticle-induced lung fibrosis by Jiayu Cao, Yuhui Yang, Xi Liu, Yang Huang, Qianqian Xie, Aliaksei Kadushkin, Mikhail Nedelko, Di Wu, Noel J. Aquilina, Xuehua Li, Xiaoming Cai, Ruibin Li

“…The fibrogenic potential of MeONPs in mouse lungs was assessed by examining collagen deposition and growth factor release. Random forest classification was employed for analyzing in chemico, in vitro and in vivo data to identify predictive descriptors. …”
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Therapeutic Efficacy of Moxibustion with Seed-Sized Moxa-Cone at Jing Acupoint on Limb Spasticity after Stroke： A Meta-Analysis by ZHANG Jinfei, JIANG Jiahui, TANG Jiqin

“…If <italic>P</italic>&lt;0.1 or <italic>I</italic>²&gt;50%, a random effects model would be used.ResultsA total of 10 RCTs with 736 patients were included, with 368 cases in the control group and the experimental group respectively. …”
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Machine learning helps reveal key factors affecting tire wear particulate matter emissions by Zhenyu Jia, Jiawei Yin, Tiange Fang, Zhiwen Jiang, Chongzhi Zhong, Zeping Cao, Lin Wu, Ning Wei, Zhengyu Men, Lei Yang, Qijun Zhang, Hongjun Mao

“…The response relationship between TWP emissions (both PM2.5 and PM2.5-10) and factors (the radial force, the lateral force, the tangential force, speed, driving torque, tire contact area, total contour length and tire tread temperature) was obtained by machine learning (ML) method. The random forest (RF) model was developed and displayed good prediction performance with an R2 of 0.84 and 0.78 for PM2.5 and PM2.5-10 on the test set, respectively. …”
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