Automatic construction of global cloud sample database based on Landsat imagery by Tao He, Guihua Huang, Lei Zhang, Daiqiang Wu, Yichuan Ma

“…The overall accuracies of random forest (RF) based on UAC-CSD sample database for cloud masking reached 0.921 on L8_Biome and 0.900 on SPARCS, which showed higher accuracies than RF based on Fmask4.0 sample database (0.869 and 0.866). …”
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Sample Entropy on Multidistance Signal Level Difference for Epileptic EEG Classification by Achmad Rizal, Sugondo Hadiyoso

“…In this research, sample entropy on Multidistance Signal Level Difference (MSLD) was applied to obtain the characteristic of EEG signals, especially towards the epilepsy patients. …”
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Attitude Towards Marketing Surveys: The Comparison of Student and Non-Student Samples by Ufuk Pala, Kalender Özcan Atılgan

“…Using student samples in marketing research is a debated issue. …”
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Sample size justification in feasibility studies: moving beyond published guidance by Robert Montgomery

“…However, there is significantly less clarity about best practices concerning sample size justifications compared to larger randomized controlled trials which are usually justified by power analyses. …”
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Industrial wastewater treatment and reuse: Heckman probit sample selection model by Urgessa Tilahun Bekabil, M.K. Jayamohan, Amsalu Bedemo Beyene

“…This study examines the factors influencing wastewater treatment and reuse by manufacturing firms in Shaggar City. The Heckman Probit Sample Selection model is used to analyse the data collected from 303 randomly selected manufacturing firms using structured questionnaires. …”
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Utility of dimethylsulfoxide to preserve synovial fluid samples for microcrystal detection and identification by Fernando Pérez-Ruiz, Elsa Lopez-Bardón, Frédéric Lioté, Naomi Schlesinger, Till Uhlig, Juan J. Mateos-Mazón

“…Each aliquot was randomly allocated and blinded for further observation when once the samples were unfrozen 3 months afterward. …”
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Cross-regional sample generation based on Cropland Data Layer for large-scale winter wheat mapping: A case study of Huang-Huai-Hai Plain, China by Man Liu, Wei He, Hongyan Zhang

Subjects: “…Cross-regional sample generation…”
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Contrasting aerial moose population estimation methods and evaluating sightability in west‐central Alberta, Canada by Wibke Peters, Mark Hebblewhite, Kirby G. Smith, Shevenell M. Webb, Nathan Webb, Mike Russell, Curtis Stambaugh, Robert B. Anderson

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FHQ-RRT*: An Improved Path Planning Algorithm for Mobile Robots to Acquire High-Quality Paths Faster by Xingxiang Dong, Yujun Wang, Can Fang, Kemeng Ran, Guohui Liu

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Optimization of Parallax Image Projection Based on SIFT by WANG Yang, LIU Jie, YOU Pinhong

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Causal effect of three autoimmune diseases on brain functional networks and cerebrospinal fluid metabolites to underlie the pathogenesis of autoimmune psychosis: a two-sample mendelian randomization analysis by Weiman Shi, Min Chen, Rongai Wang, Chengping Wen, Lin Huang, Qiao Wang

“…However, the application of resting-state functional magnetic resonance imaging (rsfMRI) and CSF metabolomics in the diagnosis and monitoring of autoimmune psychosis is still limited. Methods A two-sample Mendelian randomization (MR) analysis was performed to investigate the causal relationships between three autoimmune diseases (SLE, SS, and HT, n = 14,267 to 402,090 individuals) and 191 rsfMRI phenotypes (n = 47,276 individuals), as well as 338 CSF metabolites. …”
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Pembentukan Daftar Stopword Menggunakan Term Based Random Sampling Pada Analisis Sentimen Dengan Metode Naïve Bayes (Studi Kasus: Kuliah Daring Di Masa Pandemi) by Raditya Rinandyaswara, Yuita Arum Sari, Muhammad Tanzil Furqon

“…Penelitian ini menggunakan daftar stopword yang dibentuk dengan algoritme Term Based Random Sampling. Dalam Term Based Random Sampling terdapat 3 parameter yaitu Y untuk jumlah perulangan pengambilan kata random, X untuk jumlah pengambilan bobot terendah dalam perulangan Y, dan L sebagai persentase jumlah stopword yang ingin digunakan. …”
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Comparison of indirect and direct methods of distance sampling for estimating density of white‐tailed deer by Charles W. Anderson, Clayton K. Nielsen, Cyrus M. Hester, Ryan D. Hubbard, Janice K. Stroud, Eric M. Schauber

“…We compared direct (i.e., spotlighting from road transects) and indirect (i.e., counting pellets on randomly placed transects) distance‐sampling techniques for estimating deer densities in east‐central Illinois, southern Illinois, and northern Michigan (USA) during 2007–2008. …”
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A Particle Swarm Optimization-Based Ensemble Broad Learning System for Intelligent Fault Diagnosis in Safety-Critical Energy Systems with High-Dimensional Small Samples by Jiasheng Yan, Yang Sui, Tao Dai

“…Furthermore, EBLS is designed to enhance model stability and classification accuracy with high-dimensional small samples by incorporating the random forest (RF) algorithm and an ensemble strategy into the traditional BLS framework. …”
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Random Matrix Theory Predictions of Dominant Mode Rejection SINR Loss due to Signal in the Training Data by Christopher C. Hulbert, Kathleen E. Wage

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Causal effect of gut microbiota on the risk of cancer and potential mediation by inflammatory proteins by Yao Wang, Wanli Liu, Liwen Liu, Yanli He, Huanhuan Luo, Cantu Fang

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A Randomized, Prospective and Crossover Study, Comparing the Eradication Rate After 10 Days of Concomitant Therapy to Bismuth Quadruple Therapy Among a Sample of the Lebanese Population by Jad Chidiac, MD, Reine-Marie Kahwaji, MD, Souheil Hallit, PharmD, MSc, MPH, PhD, Yara Yazbeck, MD, Bassem Akiki, MD, Charbel Yazbeck, MD

“…Participants were randomly chosen patients diagnosed with active H pylori through histology. …”
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Gut microbiota constituents may affect hypertrophic scarring risk through interaction with specific immune cells in a two-step, two-sample Mendelian randomization study by Jiaqi Lou, Ziyi Xiang, Xiaoyu Zhu, Jiliang Li, Guoying Jin, Shengyong Cui, Neng Huang, Pei Xu, Sida Xu, Youfen Fan, Xin Le

“…Leveraging the genome-wide association analysis (GWAS) database, we conducted a two-sample Mendelian randomization (MR) study on gut microbiota (GM), immune cells, and HS. …”
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Predicting vector distribution in Europe: at what sample size are species distribution models reliable? by Lianne Mitchel, Lianne Mitchel, Guy Hendrickx, Ewan T. MacLeod, Cedric Marsboom, Cedric Marsboom

“…However, the field lacks standardisation with little consensus as to what sample size produces reliable models.ObjectiveDetermine the optimum sample size for models developed with the machine learning algorithm, Random Forest, and different sample ratios.Materials and methodsTo overcome limitations with real vector data, a simulated vector with a fully known distribution in 10 test sites across Europe was used to randomly generate different samples sizes. …”
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Overcoming Data Imbalance in Risk Management: A Comparative Study of Sampling Methods by Arya Wijna Astungkara, Achmad Pratama Rifai

“…This paper presents a comparative study of eight sampling methods—Random Undersampling (RUS), Random Oversampling (ROS), Edited Nearest Neighbor (ENN), One-Sided Selection (OSS), SMOTE, ADASYN, SMOTEENN, and SMOTETomek—across three imbalanced datasets: Taiwanese Bankruptcy Prediction, IBM HR Analytics Employee Attrition, and Loan Prediction. …”
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