mpmsim: An R package for simulating matrix population models by Owen R. Jones

“…The mpmsim R package enables users to simulate random or semi‐random Lefkovitch and Leslie MPMs based on life history archetypes or mortality and reproductive output patterns. …”
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APPLICATION OF THE MONTE CARLO NUMERICAL INTEGRATION METHOD FOR APPROXIMATION OF PROBABILITY DENSITY by A. V. Parakhnevich, A. S. Solonar, S. A. Gorshkov

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Application of Semi-Supervised Clustering with Membership Information and Deep Learning in Landslide Susceptibility Assessment by Hua Xia, Zili Qin, Yuanxin Tong, Yintian Li, Rui Zhang, Hongxia Luo

“…Landslide susceptibility assessment (LSA) plays a crucial role in disaster prevention and mitigation. Traditional random selection of non-landslide samples (labeled as 0) suffers from poor representativeness and high randomness, which may include potential landslide areas and affect the accuracy of LSA. …”
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Parameter Estimation of the Lomax Lifetime Distribution Based on Middle-Censored Data: Methodology, Applications, and Comparative Analysis by Peiyao Ren, Wenhao Gui, Shan Liang

“…Middle-censoring is an important censoring scheme, and data with middle-censoring will produce censoring in random intervals. This paper studies the parameter estimation of the Lomax distribution based on middle-censored data. …”
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Analytical Approach to Enhancing Efficiency of Silt Loading Collection in EPA Vacuum Sweep Method Using K-Means Clustering by Ho-jun Yoo, In-tai Kim

“…This study explores the application of K-means clustering to optimize the selection of sampling locations for suspended silt loading (sL) on asphalt pavements, addressing the limitations of traditional random sampling methods in the EPA method. …”
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Factor structure and trends in SF-12v2 health-related quality of life scores among pre-and post-pandemic samples in Thailand: confirmatory factor analysis and Rasch analysis by Krittaphas Kangwanrattanakul

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Factors Associated with Resilience and Job Satisfaction among a Sample of United States Frontline Healthcare Workers During the COVID-19 Pandemic: Considering Job Demands, Resource... by David TATAW, Sandra SPATARO, Nana Arthur-MENSAH, Julie LASLEY, Deborah PATTEN, Ujjalla PATEL, Robyn HAMPTON

“…Limitations: The results are limited by convenience sampling and self-report responses. Future research should implement randomized sampling methods to reduce bias. …”
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Recovering low‐rank tensor from limited coefficients in any ortho‐normal basis using tensor‐singular value decomposition by Shuli Ma, Jianhang Ai, Huiqian Du, Liping Fang, Wenbo Mei

“…We prove that an n × n × n3 tensor with tubal‐rank r can be efficiently reconstructed by minimising its tubal nuclear norm from its O(rn3n log2(n3n)) randomly sampled coefficients w.r.t any given ortho‐normal basis. …”
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A method for automatically extracting long-term and large-scale land use and land cover information by Hongzhen Tian, Zheng Zhang, Qinping Liu, Mengmeng Yang, Na Wei

“…Long-term sample points were collected within these areas and used with Landsat imagery and a Random Forest classifier to produce annual maps from 1987 to 2022 for four regions: Arizona (USA), central-western Brazil, the Beijing–Tianjin–Hebei region (China), and Portugal. …”
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Enhancing automatic early arteriosclerosis prediction: an explainable machine learning evidence by Eka Miranda, Suko Adiarto

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Compressed Sensing of Vibration Signal for Fault Diagnosis of Bearings, Gears, and Propellers Under Speed Variation Conditions by Yuki Kato, Masayoshi Otaka

“…The method constructs an order basis using randomly sampled rotational speed data, enabling sparse observation of operational vibrations through CS. …”
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Is relief the most common reaction to abortion? Self-assessed intensity of emotions attributed to abortion in a national sample of women aged 41 to 45 [version 2; peer review: 2 ap... by David Reardon

“…The objective of this study is to obtain self-assessed data on the intensity of emotional responses to abortion and pregnancy loss in a random national sample. Methods Using visual analog scales, a random sample of 1,925 women aged 41 to 45 completed a survey in which respondents rated the degree to which they experienced emotional responses to their first abortion or natural pregnancy loss. …”
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Lithology Identification Method and Application Based on Generative Adversarial Neural Network by YIN Qiong

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Effect of Acoustic Absorber Type and Size on Sound Absorption of Porous Materials in a Full-Scale Reverberation Chamber by Oshoke Wil Ikpekha, Mark Simms

“…While strides have been made in reducing sample sizes for estimating random-incident absorption, challenges persist, particularly in establishing validity thresholds for smaller samples with increasing thickness, susceptible to potential overestimation due to edge effects. …”
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Examining the Longitudinal Impact of Within- and Between-Day Fluctuations in Food Parenting Practices on Child Dietary Intake: Protocol for a Longitudinal Cohort Study Within a Sam... by Katie A Loth, Julian Wolfson, Martha Barnard, Natalie Hogan, T James Brandt, Jayne A Fulkerson, Jennifer O Fisher

“…ResultsRecruitment for our baseline sample (N=254) occurred between October 2023 and September 2024. …”
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Improving Data Integrity in Samples Obtained From Web-Based Recruitment: Protocol for the Development of a Novel System for Assessing Participant Authenticity in a Remote Longitudi... by Chavez R Rodriguez, Maya Campbell, Erin E Bonar, Jason E Goldstick, Maureen A Walton, Lewei A Lin, Lara N Coughlin

“…Such additional requirements for participants may systematically bias samples, especially when conducting research with populations that have been historically marginalized or those with stigmatized health conditions or behaviors. …”
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A data-driven hybrid framework for voltage transformer ratio error prediction: Addressing challenges in complex power systems by Jiuxi Cui, Zhenhua Li, Heping Lu, Feng Zhou, Haoyu Chen, Zhenxing Li

“…Additionally, a Wasserstein Generative Adversarial Network (WGAN) generates fault samples, thereby enhancing the model’s ability to handle small sample conditions. …”
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An Adaptive Multi-Fidelity Surrogate Model for Uncertainty Propagation Analysis by Wei Xiao, Yingying Shen, Jiao Zhao, Luogeng Lv, Jiangtao Chen, Wei Zhao

“…The results demonstrate that the adaptive model consistently outperforms random sampling methods, highlighting its superiority in terms of accuracy and reliability, providing an efficient and reliable prediction model for uncertainty quantification.…”
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Stochastic weather simulation based on gate recurrent unit and generative adversarial networks by Lingling Han, Xueqian Fu, Xinyue Chang, Yixuan Li, Xiang Bai

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Development and Evaluation of Preharvest <i>Thaumatotibia leucotreta</i> Citrus Fruit Infestation Monitoring for Inclusion in a Systems Approach by Sean D. Moore, Tamryn Marsberg, Mellissa Peyper, Luke Cousins, Marcel van der Merwe, Guy Sutton, Sonnica van Niekerk, Vaughan Hattingh

“…Although random sampling is recommended, it was not essential for effectiveness. …”
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