Testing the Impact of Intensive, Longitudinal Sampling on Assessments of Statistical Power and Effect Size Within a Heterogeneous Human Population: Natural Experiment Using Change... by Severine Soltani, Varun K Viswanath, Patrick Kasl, Wendy Hartogensis, Stephan Dilchert, Frederick M Hecht, Ashley E Mason, Benjamin L Smarr

“…We therefore used weekends as a model system to test the impact of different statistical controls on detecting a recurring event with a clear ground truth. We randomly and iteratively sampled heart rate from weekday and weekend nights, controlling for interindividual variability, intraindividual variability, both, or neither. …”
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Path Planning of Quadrupedal Robot Based on Improved RRT-Connect Algorithm by Xiaohua Xu, Peibo Li, Jiangwu Zhou, Wenzhuo Deng

“…First, to solve the problem of large sampling randomness, the Informed RRT* algorithm is combined to adopt a simpler rectangle and limit the sampling range to the rectangle. …”
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Determination of the sodium, aluminium, potassium, manganese, magnesium, bromine, cadmium and chlorine concentration values in the whole blood samples of human cancer using neutron... by N. F. Soliman, A. Sroor, L. S. Ashmawy, N. Walley El-Dine, T. El Mohamed

“…Neutron activation analysis (NAA) using the Second Egyptian Research Reactor (ETRR-2) has been utilized to analyze whole blood samples. The National Cancer Institute of Egypt provided us with 18 blood samples (11 breast, 2 prostate, 2 colon, 1 pancreatic, 1 ovarian) and a random sample of normal person to estimate the concentration values of Sodium, Aluminium, Potassium, Manganese, Magnesium, Bromine, Chlorine. …”
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Random Natural Gradient by Ioannis Kolotouros, Petros Wallden

“…Secondly, inspired by stochastic-coordinate methods, we propose a novel approximation to the QNG which we call Stochastic-Coordinate Quantum Natural Gradient that optimizes only a small (randomly sampled) fraction of the total parameters at each iteration. …”
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Tamanho da amostra foliar para avaliação do estado nutricional de goiabeiras com e sem irrigação Ideal size of leaf sample for nutritional state evaluation of guava under irrigated... by Danilo E. Rozane, William Natale, Renato de M. Prado, José C. Barbosa

“…It was concluded that in unirrigated orchards it is necessary to sample leaves in 40 plants in order to keep the macronutrients sample error between 5 to 10%. …”
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Influence of Electron Beam Irradiation on Network Carbon Nanotube Films Based Field Effect Transistors by Xiaoxiao Guan, Boxiang Zhang, Yunong Xie, Chuanhong Jin

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The Study on Landslide Hazards Based on Multi-Source Data and GMLCM Approach by Zhifang Zhao, Zhengyu Li, Penghui Lv, Fei Zhao, Lei Niu

“…The landslide-influencing factors show different sensitivities regionally, which induces the occurrence of disasters to different degrees, especially in small sample areas. This study constructs a framework for the identification, analysis, and evaluation of landslide hazards in complex mountainous regions within small sample areas. …”
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Detection and Comparison of Sow Serum Samples from Herds Regularly Mass Vaccinated with Porcine Reproductive and Respiratory Syndrome Modified Live Virus Using Four Commercial Enzy... by Chaosi Li, Gang Wang, Zhicheng Liu, Shuhe Fang, Aihua Fan, Kai Chen, Jianfeng Zhang

“…In China, farms conduct random sampling from sow herds every 4 to 6 months. …”
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The Point Cloud Reduction Algorithm Based on the Feature Extraction of a Neighborhood Normal Vector and Fuzzy-c Means Clustering by Hongxiao Xu, Donglai Jiao, Wenmei Li

“…This paper compares the proposed algorithm with traditional methods, including the uniform grid method, random sampling method, and curvature sampling method, and evaluates the simplified point cloud in terms of reduction level and reconstruction time. …”
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The Design of a Low-Noise CMOS Image Sensor Using a Hybrid Single-Slope Analog-to-Digital Converter by Hyun Seon Choo, Da-Hyeon Youn, Hyunggyu Choi, Gi Yeol Kim, Soo Youn Kim

“…To this end, in the low-light section, the digital-correlated double sampling method using a double data rate structure was used to obtain a noise performance similar to that of the 11-bit SS-ADC under low-light conditions, while maintaining linear in-out characteristics. …”
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Model Penentuan Ukuran Batch Produksi dan Bufferstock untuk Sistem Produksi Mengalami Penurunan Kinerja dengan Mempertimbangkan Perubahan Order Awal by Ivan D Wangsa

“…Change in the preliminary order for a given day is announced one day before and this is viewed as it occurs randomly. Moreover, production systems experience performance degradation (deterioration). …”
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Quasi-Experimental Design for Medical Studies with the Method of the Fuzzy Pseudo-Control Group by Kiril Tenekedjiev, Daniela Panayotova, Mohamed Daboos, Snejana Ivanova, Mark Symes, Plamen Panayotov, Natalia Nikolova

“…The most popular quasi-experimental design, the difference-in-differences (DID) method, uses four samples of <i>X</i> values (pre- and post-intervention experimental and pseudo-control groups). …”
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On degenerate Poisson random variable by Mikyoung Ha, Suhyun Lee, Youngsoo Seol

“…In this paper, we delve into the intricate properties of degenerate Poisson random variables, exploring their moment generating function, the law of large numbers, and the central limit theorem. …”
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A spatial clustering-based approach to design monitoring networks of infectious diseases: a case study of hand, foot, and mouth disease by Shuting Li, Yuanhua Liu, Ke Li, Zengliang Wang, Michael P. Ward, Wei Tu, Jiayao Xu, Rui Yuan, Lele Zhang, Na Wang, Jidan Zhang, Yu Zhao, Henry S. Lynn, Zhaorui Chang, Zhijie Zhang

“…Second, we applied the cost–benefit balance to determine the optimal sample size. Third, we performed simple random sampling within each stratum to establish an initial monitoring network. …”
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Study on lithology identification using a multi-objective optimization strategy to improve integrated learning models: a case study of the Permian Lucaogou Formation in the Jimusae... by Xili Deng, Jiahong Li, Junkai Chen, Cheng Feng

“…Finally, the proposed new intelligent lithology identification model is compared and analyzed with six models: K-Nearest Neighbors (KNN), Decision Tree (DT), Gradient Boosting Decision Tree (GBDT), Random Forest (RF), Extreme Gradient Boosting (XGBoost), and LightGBM, all after comprehensive sampling. …”
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Effectiveness evaluation of pit and fissure sealing for first permanent molars in children in Haizhu District, Guangzhou after 3 years by CHEN Chunyan, TAN Fengqing, YANG Yan, LIU Xia

“…The study aims to provide a reference for the future development of pit and fissure sealing programs for children’s first permanent molars and the effective prevention and treatment of permanent tooth caries in children. Methods A random sampling method was used. In 2022 October, 270 sixth-grade primary-school students in Haizhu District, Guangzhou, who had participated in the free pit and fissure sealing program for their first permanent molars in 2019, were placed in the sealant group. …”
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Do delayed responses introduce bias in ecological momentary assessment? Evidence from comparisons between self-reported and objective physical activity by Stefan Schneider, Stefan Schneider, Stefan Schneider, Meynard J. Toledo, Doerte U. Junghaenel, Doerte U. Junghaenel, Doerte U. Junghaenel, Joshua M. Smyth, Pey-Jiuan Lee, Sarah Goldstein, Olivia Pomeroy, Arthur A. Stone, Arthur A. Stone

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Association between Dopamine Receptor D2 (DRD2) Variations rs6277 and rs1800497 and Cognitive Performance According to Risk Type for Psychosis: A Nested Case Control Study in a Fin... by Hugh Ramsay, Jennifer H Barnett, Jouko Miettunen, Sari Mukkala, Pirjo Mäki, Johanna Liuhanen, Graham K Murray, Marjo-Riitta Jarvelin, Hanna Ollila, Tiina Paunio, Juha Veijola

“…Using linear regression, we compared the associations between cognitive performance and two candidate DRD2 polymorphisms (rs6277 and rs1800497) between subjects having familial (n=61) and clinical (n=45) risk for psychosis and a random sample of participating NFBC 1986 controls (n=74). …”
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Data augmentation via diffusion model to enhance AI fairness by Christina Hastings Blow, Lijun Qian, Camille Gibson, Pamela Obiomon, Xishuang Dong

“…Additionally, reweighting samples from AIF360 was employed to further enhance AI fairness. …”
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Random Finite Element Analysis and Random Factor response Mechanism for Geocell-reinforced Soil Retaining Walls by ZHANG Bingbing, SONG Fei

“…For this reason, a finite element analysis method based on random field theory is proposed in this paper, which can more realistically reflect the non-homogeneous characteristics of the reinforced soil retaining wall system by introducing a spatial random distribution model of the soil parameters and the mechanical properties of the geocells, so as to more accurately assess the influence of the spatial variability of the material parameters on the deformation behavior and stability of the retaining wall.MethodsFirstly, in parameter random field modeling, an innovative combination of Latin Hypercube Sampling (LHS) and exponential autocorrelation function is used to construct parameter random fields. …”
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