Metformin Improves Overall Survival of Colorectal Cancer Patients with Diabetes: A Meta-Analysis by Fanqiang Meng, Li Song, Wenyue Wang

“…Hazard Ratios (HRs) with 95% confidence intervals (CIs) for each study were calculated and pooled HRs with corresponding 95% CIs were generated using the random-effects model. Heterogeneity and publication bias were assessed. …”
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Impact of animated video media on enhancing numeracy skills among primary school students by Azzura Raudha, Jesi Alexander Alim, Muhammad Fendrik

“…The sample comprised 31 students, divided into two classes, selected through random sampling techniques. Data collection was conducted through direct observation in collaboration with the classroom teacher. …”
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Challenges in rural maternal health: how received public services and policy awareness affect health knowledge and practices by Jie Yang, Jun Chen, Yuyang Xie, Yunjie Liu, Junhao Wu, Yangyuan Li, Jingchun Nie

“…PurposeThis study evaluates the effectiveness of rural maternal health services in improving pregnant women’s health knowledge, practices, and outcomes in northwestern China, focusing on the roles of received public services and policy awareness.MethodsBaseline surveys were conducted in rural Shaanxi Province in 2021 and 2023, involving 1,152 pregnant women from 85 townships, selected via multistage cluster random sampling. Data were collected through structured face-to-face interviews, covering health knowledge and behaviors. …”
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Aging Well and the Intersection of Flourishing, Connectedness, and Sense of Meaningfulness in a Changing World: Implications for Personal and Societal Responsibility by Aslı Gözde Akış, Nilüfer Korkmaz Yaylagül, Terence Seedsman

“…This study by way of a random search of the literature, provides contemporary insights for building a knowledge platform centered on aging well. …”
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Species determination using AI machine-learning algorithms: Hebeloma as a case study by Peter Bartlett, Ursula Eberhardt, Nicole Schütz, Henry J. Beker

“…Based on these data an Artificial Intelligence (AI) machine-learning species identifier has been developed that takes as input locality data and a small number of the morphological parameters. Using a random test set of more than 600 collections from the database, not utilized within the set of collections used to train the identifier, the species identifier was able to identify 77% correctly with its highest probabilistic match, 96% within its three most likely determinations and over 99% of collections within its five most likely determinations.…”
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Teacher Support and Students’ Academic Resilience in Universal Secondary Education Schools in Luwero District, Uganda by Justine Nansamba, Wilson Mugizi, Joseph Rwothumio, Joshua Kimata Kato

“…Using a quantitative approach and correlational research design, the study surveyed 324 students selected through simple random sampling. Data collection employed a self-administered questionnaire, and analysis involved structural equation modelling (SEM) using SmartPLS. …”
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LOAD EQUIVALENCE TEST METHOD FOR FATIGUE LIFE OF MULTI-SITE-DAMAGE LARGE SIZE STRUCTURE PART by TIAN HongLei, SUN WeiGuang, YANG WenChao, XIE LiYang

“…A multi-site damage structure is a series system with many weak links（ damage sites） in probability sense.Therefore,the fatigue life（ a random variable） of a complex structure part with multiple damage sites will be less than the life of the weakest site on the part. …”
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Kinematics and spatial structure analysis of TBM gunite robot based on D–H parameter method by Lianhui Jia, Shenyao Liu, Chenxu Cao, Yehao Kang, Ying Zhu, Lijun Wang, Donglai Xu, Ruixue Cheng

“…Finally, based on the Monte Carlo random sampling method, the workspace of the robot is constructed, and its reachability and flexibility within the robot workspace are evaluated. …”
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The relationship between parenting styles and socio-economic status with feeding difficulties in toddler by Fitri Lidia, Afritayeni, Dora Yanti Penti, Ritawani Hasibuan Evis, Nova Silvia

“…The sample was selected using a random sampling technique, comprising a total of 30 toddlers. …”
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DELLA MUTATIONS IN PLANTS WITH SPECIAL EMPHASIS ON WHEAT by G. A. Chebotar, S. V. Chebotar, Yu. M. Sivolap

“…It is shown that the mutant Rht-D1b allele is the commonest dwarfing allele among those tested in Ukrainian wheat cultivars (68 %), but its distribution over Ukraine is not random.…”
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The association between organizational culture and teachers’ organizational commitment in Bahir Dar Polytechnic College, the State of Amhara by Berhan Kefyalew Taye, Melaku Mengistu Gebremeskel

“…These participants were recruited through a systematic random sampling technique. Data were analyzed using descriptive (mean, standard deviations, and one sample t-test) as well as inferential statistics (correlation and multiple linear regression). …”
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Study on Finger Gesture Interface Using One-Channel EMG by Hee-Yeong Yang, Young-Shin Han, Choon-Sung Nam

“…Four machine learning models were used: eXtreme Gradient Boost, Random Forest, k-Nearest Neighbors, and Logistic Regression. …”
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Hyperbolic Graph Convolutional Network Relation Extraction Model Combining Dependency Syntax and Contrastive Learning by Jinzhe Li

“…After the model learns context semantics separately in the original dependency syntax information and dependency syntax information with added random noise, it maximizes the mutual information between entity words to assist the model in distinguishing noise in dependency syntax. …”
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TRANSPORT LOGISTICS AND WORKFORCE QUALITY: EVALUATING ACCESSIBILITY AND HUMAN RESOURCE QUALITY IN SELECTED NIGERIAN ORGANIZATIONS by Olusegun Timothy ODESOLA, Chukwudalu Daniel NWIZU

“…A structured questionnaire was employed to bring together the data for the study via random sampling technique. Descriptive and inferential analyses which included frequencies, percentages, mean, standard deviation and regression analysis were used to analyse the data. …”
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ReHypar: A Recursive Hybrid Chunk Partitioning Method Using NAND-Flash Memory SSD by Jaechun No, Sung-Soon Park, Cheol-Su Lim

“…Although SSD retains several promising characteristics, such as high random I/O performance and nonvolatility, its high expense per capacity is the main obstacle in replacing HDD in all storage solutions. …”
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Organophosphorus Pesticides Management Strategies: Prohibition and Restriction Multi-Category Multi-Class Models, Environmental Transformation Risks, and Special Attention List by Yingwei Wang, Lu Wang, Yufei Li

“…Therefore, this study retrieved the OPs restriction list and constructed eight multi-class, multi-category machine learning models for OPs restrictions. Among these, the random forest (RF) model demonstrated excellent predictive performance, as it was successfully validated and applied. …”
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FINANCIAL ACCOUNTING RATIOS AS A TOOL FOR THE EVALUATION OF MANAGEMENT OF MILLS COMPANY by EGU USANG INAH, AGIM, DAVID AGIABEKONG, IYANG GODWIN USHIE

“…The sampling techniques used was a two-stage sampling technique which are purposeful and a simple random sampling technique. Primary data collected were from the audited financial statement of the selected mills company which the data were used for the computation of the major ratios. …”
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Improving the accuracy of soil texture determination using pH and electro conductivity values with ultrasound penetration-based digital soil texture analyzer by Emre Kilinc, Umut Orhan

“…Using the Ultrasound Penetration-based Digital Soil Texture Analyzer (USTA), this research combined ultrasound time series data with pH and EC measurements to predict sand, silt, and clay ratios through machine learning methods—support vector regression (SVR), Random Forest (RF), and multi-layer perceptron neural network (MLPNN). …”
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Probabilistic Prediction of Maximum Tensile Loads in Soil Nails by Yongqiang Hu, Peiyuan Lin

“…Here, model factor is the ratio of measured to estimated nail load. The randomness of the model factor was also verified. Finally, the model factor was demonstrated to be a lognormal random variable. …”
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Avoiding catastrophic overfitting in fast adversarial training with adaptive similarity step size. by Jie-Chao Zhao, Jin Ding, Yong-Zhi Sun, Ping Tan, Ji-En Ma, You-Tong Fang

“…To address these issues, this paper proposes a fast adversarial training method-fast adversarial training with adaptive similarity step size (ATSS). In this method, random noise is first added to the input clean samples, and the model then calculates the gradient for each input sample. …”
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