Plasma cytokine levels and PCOS risk: Mendelian randomization analysis reveals IL6R as a preventive factor by Xiaopei Li, Yan Li, Bumei Zhang, Jianmei Wang, Yang Yang, Yongrui Du

Subjects: “…Two-sample Mendelian randomization…”
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Two-sample bi-directional causality between two traits with some invalid IVs in both directions using GWAS summary statistics by Siyi Chen

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Class-Balanced Random Patch Training to Address Class Imbalance in Tiling-Based Farmland Classification by Yeongung Bae, Yuseok Ban

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Application of Randomized Response Techniques Using Dichotomous Response for Mean Wage in Czechia and Slovakia by Ondřej Vozár, Luboš Marek

Subjects: “…randomized response techniques…”
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Genetic evidence suggests a causal relationship linking thyroid function to prospective memory and dementia and Parkinson’s disease by Yang Wang, Yanying Liu, Huimin Yang, Zhuang Mo, Haiyan Liu, Qi Yu

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BAYESIAN PARAMETER ESTIMATION OF WEIBULL DISTRIBUTION WITH MULTIPLE CHANGE POINTS FOR RANDOM CENSORING TEST MODEL WITH INCOMPLETE INFORMATION by HE ChaoBing

“…The full conditional distributions of change-point positions and other unknown parameters are obtained. Every parameter is sampled by Gibbs sampler. and the means of Gibbs samples are taken as Bayesian estimations of the parameters. …”
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Target sampling based on routing behavior analysis in network topology measurement by ZHANG Yu, FANG Bin-xing, ZHANG Hong-li

“…In order to investigate the insufficiency of target sampling in current network topology measurement practice and the distortion of measurement models,a sort of target sampling methods based on routing behavior analysis were pre-sented,namely,the uniform random sampling as a benchmark method,the minimum cover sampling as an optimal method,the last-hop sampling for the path diversity,and the bisection sampling for the destination prefix diversity.Ex-periments based on real measurement data show that a half of topology information can be missed in the traditional ‘1 per /24’ random sampling,of which 10% of missed information is caused by the path diversity and the rest is caused by des-tination prefix diversity.The minimum cover sampling is robust to the routing dynamics and performs better than the uniform random sampling at the long-term practice.…”
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How well do mothers recall their own and their infants’ perinatal events? A two-district study using cross-sectional stratified random sampling in Bihar, India by Caroline Jeffery, Joseph James Valadez, Baburam Devkota, Wilbur C Hadden

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Multiple-Image Encryption Based on Compressive Ghost Imaging and Coordinate Sampling by Xianye Li, Xiangfeng Meng, Xiulun Yang, Yongkai Yin, Yurong Wang, Xiang Peng, Wenqi He, Guoyan Dong, Hongyi Chen

“…A multiple-image encryption method that is based on a modified logistic map algorithm, compressive ghost imaging, and coordinate sampling is proposed. In the encryption process, random phase-only masks are first generated with the modified logistic map algorithm; multiple secret images are transformed to be sparsed by the 2-D discrete cosine transformation (DCT) operation and scrambled by different random sequences; the scrambled images are then grouped to one combined image with the help of the coordinate sampling matrices; finally, putting the combined image in the object plane of the compressive ghost imaging system, the ciphertext will be obtained from the buck detector and transferred to the receivers. …”
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Efficient sampling strategies for assessing the prognostic value of a new biomarker at a temporal endpoint by Hani Samawi, Haresh Rochani

“…A comprehensive simulation-based analysis underscores the efficacy of this sampling plan, revealing a more potent testing procedure and efficient estimation of hazard ratios compared to conventional methods such as simple random sampling (SRS) and other existing sampling schemes.…”
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Estimation of Generalized Gompertz Distribution Parameters under Ranked-Set Sampling by Mohammed Obeidat, Amjad Al-Nasser, Amer I. Al-Omari

“…The performance of both ML and Bayes estimates is improved under RSS compared with simple random sample (SRS) regardless of the sample size. …”
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Region sampling NeRF-SLAM based on Kolmogorov-Arnold network. by Zhanrong Li, Jiajie Han, Chao Jiang, Haosheng Su

“…Inspired by the quadtree in ORB-SLAM2 and the recently proposed Kolmogorov-Arnold network, our approach replaces the MLP with a KAN network based on Gaussian functions, combines quadtree-based regional pixel sampling and random sampling, delineates the scene by voxels, and supports dynamic scaling to realize a high-fidelity reconstruction of large scenes for a SLAM system. …”
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Semideterministic and stochastic sampling of Feynman diagrams with 1/N_{f} expansions by Boyuan Shi

“…If there is no additional N_{f} cut, the series reduces to the random phase approximation series in the density-density channel, complementary to the particle-hole and particle-particle channels introduced in Phys. …”
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Graph Sampling Through Graph Decomposition and Reconstruction Based on Kronecker Graphs by Shen Lu, Les Piegl, Richard S. Segall

“…The connectedness of the social network gives rise to a new challenge of how to efficiently sample the network and keep the graph properties and topology properties as well. …”
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Sampling plan for using a motorized penetrometer in soil compaction evaluation by Lindolfo Storck, Sarha G. K. Kobata, Betania Brum, André B. Soares, Alcir J. Modolo, Tangriani S. Assmann

“…To estimate the mean of resistance to penetration, 12 blocks of four points per experimental plot should be used for a semi-amplitude of the confidence interval equal to 10% of the mean (1 - p = 0.95). Twenty random points may be sampled to estimate mean of penetration resistance for a semiamplitude confidence interval of 10% of the man (1 - p = 0.95). …”
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Design of path planning robot simulator by applying sampling based method by Heru Suwoyo, Julpri Andika, Andi Adriansyah

“…This research aims to create a simulator for solving the global path planning of mobile robots. Various sampling-based methods such as Rapidly-exploring Random Tree (RRT), RRT*, and Fast-RRT, along with other derivative algorithms, have been widely used to solve path-planning problems in mobile robots. …”
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Enhanced Helicopter Vibration Prediction With Hybrid Sampling and Cost Mining Techniques by Jeonghun Kim, Keunho Choi, Donghee Yoo

“…Experimental results confirm that the proposed hybrid sampling methods outperform traditional oversampling and undersampling techniques in prediction performance. …”
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An aerial grid‐based sampling method to estimate nonbreeding duck abundance by Jacob D. Hennig, Thomas J. Benson, Joshua D. Stafford, Aaron P. Yetter, Heath M. Hagy, Kirk W. Stodola

“…Therefore, we implemented and evaluated a generalizable grid‐based, stratified random sampling design to estimate weekly duck abundance within the Wabash River floodplain in southeastern Illinois and southwestern Indiana, USA, during midwinter and early spring 2012 and 2013. …”
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Distributed random vector functional link network with subspace-based local connections by YU Wanguo, YUAN Zhenhao, CHEN Jiaqi, HE Yulin

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Autism spectrum disorders and childhood caries: a comprehensive Mendelian randomization study by Qiufang Jin, Zexiu He, Dongfang Xu, Ruihua Lin, Tongtong Zhang, Bingjian Lv, Yuliang Zhao

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