Combined oral contraceptives containing estradiol valerate vs ethinylestradiol on coagulation: A randomized clinical trial by Annina H. Haverinen, Kaisu M. Luiro, Timea Szanto, Marika H. Kangasniemi, Leena Hiltunen, Susanna Sainio, Terhi T. Piltonen, Riitta Lassila, Juha S. Tapanainen, Oskari Heikinheimo

“…Blood samples were collected at baseline and after 9 weeks. …”
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Transcriptome sequencing and Mendelian randomization analysis identified biomarkers related to neutrophil extracellular traps in diabetic retinopathy by Linlin Hao, Songhong Wang, Lian Zhang, Lian Zhang, Jie Huang, Yue Zhang, Xuejiao Qin

“…These candidate genes were subjected to mendelian randomization (MR) analysis, then least absolute shrinkage and selection operator analysis to pinpoint key genes. …”
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A Random Forest-Based Predictive Model for Student Academic Performance: A Case Study in Indonesian Public High Schools by Rifa Andriani Saputri, Asrianda Asrianda, Lidya Rosnita

“…Data from 632 student report cards for grades X and XI in the second semester of the 2023/2024 academic year were used, covering subjects such as Mathematics, Indonesian Language, and others, divided into 80% training data (506 samples) and 20% test data (136 samples). The research methodology involved data preprocessing, training the Random Forest model using entropy and information gain to construct decision trees, and performance evaluation using metrics such as accuracy, precision, and recall. …”
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Distinguishing Biological Trends from Adaptation by Lucas John Mix

“…A minimal trend is a signal of historical change after correcting for sampling error; a directed trend is a model dependent measure of confidence that selection has occurred (correcting for both sampling error and drift). …”
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Experimental Study and Random Forest Machine Learning of Surface Roughness for a Typical Laser Powder Bed Fusion Al Alloy by Xuepeng Shan, Chaofeng Gao, Jeremy Heng Rao, Mujie Wu, Ming Yan, Yunjie Bi

“…In this study, a typical Al alloy, AlSi10Mg, was selected to study its surface roughness when using Laser Powder Bed Fusion (LPBF). Two Random Forest (RF) models were established to predict the upper surface roughness of printed samples based on laser power, laser scanning speed, and hatch distance. …”
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Genetic diversity analysis of Magnaporthe grisea from some blast nurseries of Hunan province using random amplified polymorphic DNA by Ngueko R B, SHEN Ying, WANG Hong-kai, LIN Fu-cheng, XU Tong

“…Diseased samples of Magnaporthe grisea were collected from Anhua, Taojiang, Songbai blast nurseries in Hunan province in 2001. …”
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Competing Risks Failure Model Under Progressive Censoring With Random Removals Based on the Generalized Power Half Logistic Geometric Distribution by Ahlam H. Tolba, Ahmed Ramses El-Saeed

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Exploring Factors Associated with Cyclist Injury Severity in Vehicle-Electric Bicycle Crashes Based on a Random Parameter Logit Model by Fei Ye, Changshuai Wang, Wen Cheng, Haoxue Liu

“…It is an exploratory analysis that was conducted based on samples obtained from video data provided by the police of Xi’an China. …”
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Comparative analysis of heart disease prediction using logistic regression, SVM, KNN, and random forest with cross-validation for improved accuracy by Yagyanath Rimal, Navneet Sharma, Siddhartha Paudel, Abeer Alsadoon, Madhav Parsad Koirala, Sumeet Gill

“…Abstract This primary research paper emphasizes cross-validation, where data samples are reshuffled in each iteration to form randomized subsets divided into n folds. …”
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On the Characterization of Phase Noise for the Robust and Resilient PLL-TRNG Design by Ziheng Ma, Bohan Yang, Wenping Zhu, Hanning Wang, Yi Ouyang, Min Zhu, Leibo Liu

“… A true random number generator (TRNG) is a critical component in ensuring the security of cryptographic systems. …”
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The Structure of Rhythm in Prose Poetry: The Experience of Ammar Al-Masoudi in "Brown Summer" (A Model) by Dr.Jameel Sahib Jaleel

“…Instead, we followed the method of random selection of a single sample that represents the entire poem experience for us. …”
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Turbidity Estimation by Machine Learning Modelling and Remote Sensing Techniques Applied to a Water Treatment Plant by Víctor Gauto, Enid Utges, Elsa Hervot, Maria Daniela Tenev, Alejandro Farías

“…Remote sensing techniques are used to monitor and retrieve quality estimators from water bodies. In situ sampling is an essential and labour-intensive task with high costs. …”
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Damage initiation in brittle and ductile materials as revealed from a fractoluminescence study by Alexandre Chmel, Igor’ Shcherbakov

“…At the same time, the formation of damaged sites in ductile materials (marble and organic glass) was found to be fully random.…”
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Effect of nutrition education on hemoglobin level of pregnant women in Southeast Ethiopia: a cluster randomized controlled trial by Girma Beressa, Susan J. Whiting, Tefera Belachew

“…A multistage cluster sampling technique followed by systematic sampling was used to select the pregnant women. …”
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Investigating bearing and gear vibrations with a Micro-Electro-Mechanical Systems (MEMS) and machine learning approach by Gagandeep Sharma, Tejbir Kaur, Sanjay Kumar Mangal, Amit Kohli

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Comparison of nonparametric estimates of the survival functions by Abdurakhim A. Abdushukurov, Sukhrob B. Bozorov

“…The article compares three types of estimates: exponential, multiplying and power structures for the survival function of three random censoring observations on the right. It was previously established that all these three estimates are equivalent with a growing sample size, i.e. three with the same centering and normalization converge to the same Gaussian process. …”
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Semi-market mathematical model of radio electronic maintenance of anti-air missile arms by Volodymyr Mirnenko, Serghij Kitik

“…The analytical dependence of the technical utilization coefficient on the parameters of the scale and shape of the diffusion-nonmonotonic distribution, the frequency of maintenance, the duration of the complete restoration of the equipment sample, the probability of a failure signal is established. …”
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A Spatially‐Distributed Machine Learning Approach for Fractional Snow Covered Area Estimation by Shalini Mahanthege, William Kleiber, Karl Rittger, Balaji Rajagopalan, Mary J. Brodzik, Edward Bair

“…In situ observations of snow properties in mountainous terrain are limited by cost and effort, impacting both temporal and spatial sampling, while remote sensing estimates provide more complete spacetime coverage. …”
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Effect of Virtual Reality Therapy with Brain Gym Exercises for Sleep-deprived Individuals: A Randomized Clinical Trial by Marissa De Souza Eremita, Jeba Chitra

“…Materials and Methods: A randomized clinical trial was performed by screening 51 samples, from which 32 individuals were recruited, using purposive sampling, based on the Pittsburgh Sleep Quality Index (PSQI) which was used as the inclusion criteria. …”
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Application of spectral characteristics of electrocardiogram signals in sleep apnea by Jiayue Hu, Liu Yang, Xintong Zhao, Haicheng Wei, Jing Zhao, Miaomiao Li

“…Finally, three spectral features—maximum instantaneous frequency (femax), instantaneous frequency amplitude (V), and marginal spectrum energy (S)—are quantitatively compared between normal and sleep apnea populations using an independent-sample t-test. These features are classified via a random forest machine learning model.ResultsThe femax and IMF7 components of the reconstructed signal exhibited statistically significant differences (p < 0.001) between normal and sleep apnea subjects. …”
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