Rapid diagnosis of Mycoplasma pneumoniae and prediction of antibiotic resistance by nanopore adaptive sampling by Yunke Sun, Xiaonan Li, Jiale He, Lingguo Zhao, Qingliang Chen, Lei Lei, Jun Chen, Lin Zhong, Guobao Li, Yu Xia, Yanmin Bao, Yingdan Zhang, Liang Yang

“…Nanopore adaptive sampling (NAS) aims to selectively enrich pathogens, promising improved diagnostics for acute infections and better treatment decisions in clinical practice. …”
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Method for Changepoint Detection With Sample Size Accumulation During Radio Equipment Operation by Solomentsev Oleksandr, Zaliskyi Maksym, Herasymenko Tetyana, Petrova Yuliia

“…The efficiency measures for this algorithm are the probability of correct detection and mean time of decision making. The proposed algorithm has advantages in mean time of decision making compared with CUSUM detection method.…”
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Sample Distribution Approximation for the Ship Fleet Deployment Problem Under Random Demand by Qi Hong, Xuecheng Tian, Haoran Li, Zhiyuan Liu, Shuaian Wang

“…The proposed methodology provides shipping operators with enhanced decision-making capabilities under uncertainty, especially valuable in data-constrained environments.…”
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An Intelligent Sample Selection Method for Space-Time Adaptive Processing in Heterogeneous Environment by Chongdi Duan, Yu Li, Wei Wei Wang

“…Due to the utilization of space–time property in representative feature extraction and intelligent strategy for the decision-making process, the proposed method acquires more reliable and efficient sample selection results compared with most of conventional sample selection methods. …”
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Validation of the Cognitive Assessment Instrument for Obsessions and Compulsions (CAIOC-13) in an Indian Sample by Mahashweta Bhattacharya, Himani Kashyap, Srinivas Balachander, Y. C. Janardhan Reddy

“…The Cognitive Assessment Instrument for Obsessions and Compulsions (CAIOC-13) is a recently developed self-report that assesses everyday cognitive dysfunction in obsessive-compulsive disorder (OCD), for example, difficulties with reading, slowness, and decision-making. This study was undertaken to validate the CAIOC-13 in an Indian sample of OCD. …”
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Exploring the relationship between data sample size and traffic flow prediction accuracy by Jianhu Zheng, Minghua Wang, Mingfang Huang

“…Efficiently extracting and analyzing large urban traffic data, accurately predicting traffic conditions, and improving urban traffic management require careful selection of an appropriate data sample size. The suitable size of data sample assumes paramount importance in fostering sustainable transportation development. …”
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Plasma Proteome Profiling to detect and avoid sample‐related biases in biomarker studies by Philipp E Geyer, Eugenia Voytik, Peter V Treit, Sophia Doll, Alisa Kleinhempel, Lili Niu, Johannes B Müller, Marie‐Luise Buchholtz, Jakob M Bader, Daniel Teupser, Lesca M Holdt, Matthias Mann

“…Here, we employ Plasma Proteome Profiling to define quality marker panels to assess plasma samples and the likelihood that suggested biomarkers are instead artifacts related to sample handling and processing. …”
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ANALYSIS OF A SMALL SAMPLE OF EXPERIMENTAL DATA IN THE MANAGEMENT OF GAS CONSUMPTION IN THE REGION by A. M. Kumaritov, A. E. Dzgoev, R. B. Sharibov

“…Analysis of a small sample of experimental data on gas consumption population, allowing to make the right decisions for forecasting of gas consumption in the management of gas supply to the region. …”
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81 Fixing or mixing? Improving small sample size longitudinal microbiome models by Raunak Vijayakar, Jun Chen, Marina Walther-Antonio

“…Discussion/Significance of Impact: By characterizing and improving these statistical tools, we seek to increase the robustness and power of microbiome study results (especially at small sample sizes), ultimately supporting better-informed translational research decisions. …”
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Flow cytometry for screening and prioritisation of urine samples: a retrospective comparison with culture by Vicky Sender, John Kerr White, Ludvig Bolinder, Karin Amilon, Mirja Hägg, Karin Haij Bhattarai, Niklas K. Björkström, Baharak Saeedi

“…Results Based on our data, we propose an algorithm using bacterial count from UFC to guide urine culture decisions. A cut-off of < 30 BACT cells/µl to support exclusion of negative samples (AUC 0.921) could potentially reduce culture rates by ~ 32%. …”
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Determinants of Muzakki Decision-Making to Pay Zakat in Baitulmaal Muamalat DKI Jakarta by Y Yunizar, Ola Danel

“…This research is the descriptive quantitative approach with multiple linear analysis methods. The sampling technique chosen in this research is probability sampling, Simple random sampling. …”
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Biased expectations about future choice options predict sequential economic decisions by Didrika S. van de Wouw, Ryan T. McKay, Nicholas Furl

“…Then, we examined sequence length and payoff scheme: two manipulations where an optimality model recommends adjusting the sampling rate. Here, participants were more reluctant to increase their sampling rates when it was optimal to do so, leading to increased undersampling bias. …”
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Heuristic Bias and Loss Aversion Impact in Stock Investment Decision Making in Batam by Fendy Cuandra, Michael Setiawan, Candy Candy, Hesniati Hesniati

“…This study uses the SmartPLS application to analyze data and uses an online questionnaire to collect respondents' answers. Sampling was conducted using purposive sampling technique to collect samples from investors in Batam. …”
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Impact of nudge strategies on carbon emission reduction behavioral decisions of dairy farmers by Haoyu Lin, Shumeng Ge, Xuanguo Xu

“…A total of 311 questionnaires were distributed, with 198 valid responses analyzed. The sampling strategy combined random and stratified sampling to ensure representativeness. …”
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A Combined Weighting Method Based on Hybrid of Interval Evidence Fusion and Random Sampling by Ying Yan, Bin Suo

“…Cumulative probability function constructing and random sampling processes do not require any human intervention or judgment. …”
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Effectiveness of Content Marketing, Influencers, and TikTok Social Media on Purchase Decisions by Nur Febriyantie, Nur Hayati

“… In this study, we look at how well content marketing and social media platforms like TikTok work to sway consumers' purchasing decisions, utilizing Cho-Cweet products in Bandung City as a case study. …”
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The Impact of Social Media Marketing and Endorsement on Purchasing Decisions at Daarul Jannah Cottage by Caca Komara, Muji Rahayu

“…Using a purposive sampling technique, 50 customers were selected as respondents, and data were obtained through questionnaires measuring aspects of SMM, endorsement, and purchase decision. …”
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Factors Influencing Risk Management Decision of Small and Medium Scale Enterprises in Ghana by Anselm Komla Abotsi, Gershon Yawo Dake, Richard Abankwa Agyepong

“…Stratified and simple random sampling techniques were used to select the sample units. …”
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Investigating the contributors to hit-and-run crashes using gradient boosting decision trees. by Baorui Han, Haibo Huang, Gen Li, Chenming Jiang, Zhen Yang, Zhenjun Zhu

“…A classification prediction model is established based on a nonlinear method-Gradient Boosting Decision Tree (GBDT) to investigate the factors contributing to a perpetrator's escape behavior in hit-and-run crashes. …”
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The Online Fruit and Vegetable Purchase Decisions: The Roles of Lifestyle, Promotion, and Service Quality by Diah Fistiani Sukardiman, Vianty Adelli Santo, Arief Bowo Prayoga Kasmo

“…A sample of 100 respondents was obtained using purposive sampling and determined using the Rao formula (2006). …”
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