Optimisation of variance component estimation and genomic prediction in a commercial crossbred population of Duroc x (Landrace x Yorkshire) three-way pigs by S. Liu, Z. Zhang

“…We first compared the performance of completely extreme sampling, completely random sampling, and four mixed sampling schemes combining extreme and random sampling for VC estimation and genomic prediction for traits with high, medium, and low heritability (h2 = 0.5, 0.3, and 0.1) at different sample sizes (500–6 500). …”
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Execution rates in Scottish witchcraft trials by Liv Helene Willumsen, Terje Vassdal

“…This article estimates the total executions in Scottish witchcraft trials by using stratified sampling methods and random samples. The Scottish witchcraft trials took place in the period 1560–1727, and court records from these trials are preserved. …”
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Copula Modeling and Uncertainty Propagation in Field‐Scale Simulation of CO2 Fault Leakage by Per Pettersson, Eirik Keilegavlen, Tor Harald Sandve, Sarah E. Gasda, Sebastian Krumscheid

“…Copulas provide representation of dependent multidimensional random variables and a good fit to data, allow fast sampling and coupling to the forward propagation method via independent uniform random variables. …”
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Handheld lidar sensors can accurately measure aboveground biomass by David H. Atkins, Ryan C. Blackburn, Daniel C. Laughlin, Margaret M. Moore, Andrew J. Sánchez Meador

“…Abstract Many recent studies have explored remote sensing approaches to facilitate non‐destructive sampling of aboveground biomass (AGB). Lidar platforms (e.g., iPhone and iPad PRO models) have recently made remote sensing technologies widely available and present an alternative to traditional approaches for estimating AGB. …”
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Seasonal Fluctuations in Plant-Parasitic Nematode Vertical Distributions and Their Interactions with Edaphic Factors in Vegetable Fields of South Georgia, U.S.A. by Josiah Marquez, Abolfazl Hajihassani

“…Five-core composite soil samples were taken monthly (March 2020 to February 2022) at three random locations in six vegetable fields. …”
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Genetic parameters of weaning-to-oestrus interval in pigs using Bayesian analysis by Špela MALOVRH, Milena KOVAČ, Rainer RÖHE

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Research on a Surface Roughness Measurement Under ResNet-Based Roughness Classification and Light-Section With Seam-Driven Image Stitching (RCLS) by Huashen Guan, Qiushen Cai, Xiaobin Li, Guofu Sun

“…First, the images were classified with ResNet neural network, then stitched and enhanced by scale invariant feature transform (SIFT) and optimized random sample consensus (RANSAC) algorithm for the best visual effect. …”
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Integrating direct observation and environmental DNA data to enhance species distribution models in riverine environments by Luca Carraro

“…Finally, I test such framework by means of an in-silico experiment, whereby I show that optimized sampling strategies outperform random-based strategies in the ability to reconstruct a taxon’s spatial distribution. …”
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Hyperspectral estimation of chlorophyll density in winter wheat using fractional-order derivative combined with machine learning by Chenbo Yang, Chenbo Yang, Meichen Feng, Juan Bai, Hui Sun, Rutian Bi, Lifang Song, Chao Wang, Yu Zhao, Wude Yang, Lujie Xiao, Meijun Zhang, Xiaoyan Song

“…Hyperspectral monitoring models for winter wheat ChD were constructed using 8 machine learning algorithms, including partial least squares regression, support vector regression, multi-layer perceptron regression, random forest regression, extra-trees regression (ETsR), decision tree regression, K-nearest neighbors regression, and gaussian process regression, based on the full spectrum band and the band selected by competitive adaptive reweighted sampling (CARS). …”
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Method for cycle detection in sparse, irregularly sampled, long-term neuro-behavioral timeseries: Basis pursuit denoising with polynomial detrending of long-term, inter-ictal epile... by Irena Balzekas, Joshua Trzasko, Grace Yu, Thomas J Richner, Filip Mivalt, Vladimir Sladky, Nicholas M Gregg, Jamie Van Gompel, Kai Miller, Paul E Croarkin, Vaclav Kremen, Gregory A Worrell

“…In select cases, we propose that random and irregular sampling may be leveraged for frequency decomposition of physiological signals. …”
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Study of the Criteria for Using Structural Criteria and the Framework of Construction Materials in Virtual Social Networks (Study Sample: IRNA, ISNA, Anatoly and Reuters News Conte... by Alireza Abdollahinejad, mohammad zamanirad

“…Due to the total number, high sample size and random error are minimized, so this study has acceptable reliability. …”
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Climate change and daily wellbeing: The role of environmental, governmental, and commute-related stressors by Monika Lohani, Jamie S. Elsey, Sam Dutton, Lynne Zummo

“…To capture individuals’ daily experiences in an ecologically valid manner, experience sampling methodology was adopted. Over the course of a day, participants were randomly prompted once within every hour (a total of 10 prompts) to report their negative affect and encounters with specified daily stressors. …”
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Class-balanced negative training sets for improving classifier model predictions of enhancer-promoter interactions by Osamu Maruyama, Tsukasa Koga

“…Supervised learning models have been developed to predict EPIs, often using experimentally validated interacting enhancer-promoter pairs and artificially generated negative samples. However, the lack of reliable negative samples presents a challenge. …”
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FalconSign: An Efficient and High-Throughput Hardware Architecture for Falcon Signature Generation by Yi Ouyang, Yihong Zhu, Wenping Zhu, Bohan Yang, Zirui Zhang, Hanning Wang, Qichao Tao, Min Zhu, Shaojun Wei, Leibo Liu

“…Our approach involves a new scheduling flow and architecture for Fast-Fourier Sampling to enhance computing unit reuse and reduce processing time. …”
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Determinants of postnatal care service utilization among mothers of Mangochi district, Malawi: a community-based cross- sectional study by Jonas, Sagawa, Allen, Kabagenyi, Godwin, Turyasingura, Saul Eric, Mwale

“…Methods: A community based cross-sectional study was conducted among 600 mothers who gave birth in the past 2 years preceding January 1–31; 2016. A multistage sampling technique was employed to select respondents from nine randomly selected villages in Mangochi district. …”
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Landslide Susceptibility Assessment in Ya’an Based on Coupling of GWR and TabNet by Jiatian Li, Ruirui Wang, Wei Shi, Le Yang, Jiahao Wei, Fei Liu, Kaiwei Xiong

“…However, existing studies often lack scientific rigor in negative sample construction and have unclear model applicability. …”
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Validation of a Methodology for the Quantification of DON in Feces and Feedstuffs by UPLC as Possible Strategy to Evaluate the Detoxifying Efficacy of a Mycotoxin Adsorbent In Vivo by Bo Yang, Hui Deng, Yiwei Jia, Dong Li, Rudeng Chen, Ruiqing Chen, Jing Zhang, Yan Zhong, Lingxian Yi, Fuhao Wang, Hongjie Cui, Daojin Yu

“…For each pig, 2-g fecal samples were collected pre-feeding and analyzed by ultra-performance liquid chromatography. …”
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Implementation and User Satisfaction of a Comprehensive Telemedicine Approach for SARS-CoV-2 Self-Sampling: Monocentric, Prospective, Interventional, Open-Label, Controlled, Two-Ar... by Florian Voit, Johanna Erber, Silvia Egert-Schwender, Michael Hanselmann, Michael Laxy, Victoria Kehl, Dieter Hoffmann, Samuel D Jeske, Thomas Michler, Ulrike Protzer, Florian Kohlmayer, Roland M Schmid, Christoph D Spinner, Simon Weidlich

“…A total of 100 individuals were randomly assigned to either the conventional health care professional (HCP)–performed SARS-CoV-2 testing group (conventional testing group, CG) or the telemedicine-guided SARS-CoV-2 self-sampling approach (telemedicine group, TG). …”
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Traumatic brain injury and autophagy: a pilot study about the immunohistochemical expression of LC3B, Beclin 1, p62, and LAMP2A in human autoptic samples by Tommaso Livieri, Letizia Alfieri, Emiliana Giacomello, Djordje Alempijević, Tijana Petrovic, Yanko Georgiev Kolev, Davide Radaelli, Margherita Neri, Stefano D’Errico

“…In particular, the percentage of neurons displaying an autophagic pattern was calculated from six random acquisitions per subject, and the results were compared across groups using one way ANOVA. …”
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Microplastic detectives: a citizen-science project reveals large variation in meso- and microplastic pollution along German coastlines by Bruno Andreas Walther, Franco Pasolini, Franco Pasolini, Špela Korez Lupše, Melanie Bergmann

“…Two important recommendations are 1) to use random or stratified random sampling and 2) to run transects perpendicular (rather than parallel) to the waterline. …”
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