Secondary Analysis under Cohort Sampling Designs Using Conditional Likelihood by Olli Saarela, Sangita Kulathinal, Juha Karvanen

“…Under cohort sampling designs, additional covariate data are collected on cases of a specific type and a randomly selected subset of noncases, primarily for the purpose of studying associations with a time-to-event response of interest. …”
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HMGCR as a promising molecular target for therapeutic intervention in aortic aneurisms: a mendelian randomization study by Peng-Fei Zheng, Zhao-Fen Zheng, Zheng-Yu Liu, Jin He, Jing-Jing Rong, Hong-Wei Pan

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Genetically predicted the causal association between serum mineral elements with immune thrombocytopenia and Henoch-Schonlein purpura: a bidirectional two-sample Mendelian randomization analysis by Yan Chen, Xiuli Hong, Yamei Chen, Zhiqiang Xu, Quanyi Lu

“…Aims Conducting a two-sample, bidirectional Mendelian randomization (MR) study to evaluate the causal association between serum mineral elements including zinc, copper, magnesium, iron and calcium with ITP and HSP. …”
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Exploring the Relationship Between 91 Inflammatory Cytokines and IgA Nephropathy Using a Two-Sample Mendelian Randomization Study and the Gene Expression Omnibus Database by Manyi Wu, Xingxin Yang, Mengxiao Zou, Xiaojing Cai, Chunyu Pan, Junhua Li, Shuwang Ge

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Unveiling the Intricate Causal Nexus Between 91 Circulating Inflammatory Proteins and Perianal Abscess Through a Comprehensive Bidirectional Two‐Sample Mendelian Randomization Analysis by Zehui Wang, Tian Chen, Hongshuo Shi, Xuecheng Zhang, Wei Yang

“…Genetic associations for PA were taken from the FinnGen Consortium R9 data, consisting of 2595 PA cases and 301,931 control individuals. Two‐sample Mendelian randomization (MR) analysis was utilized to investigate the causal links between these inflammatory proteins and PA. …”
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Exploring the Causal Relationship Between Saliva Microbiota Abundance and Chronic Obstructive Pulmonary Disease/Idiopathic Pulmonary Fibrosis: A Two-Sample Mendelian Randomization Study by Wei H, Han C, Song Y

“…This study employed bidirectional two-sample Mendelian randomization (MR) to explore potential causal relationships between saliva microbiota abundance and the risk of both diseases.Methods: Saliva microbiota abundance datasets were analyzed for forward and reverse causal associations with both diseases. …”
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Unveiling functionality and conducting two-sample mendelian randomization on WGCNA-identified oxidative stress-related hub genes in metabolic dysfunction-associated fatty liver disease by Qian Zhu, Jiaqi Liu, Wuxuan Mei, Changchun Zeng

“…Following PPI analyses, the highest-ranking ten hub genes demonstrating abnormal expression were determined. Ultimately, a two-sample MR analysis demonstrated a causal link between the hub gene CRP and the occurrence of MAFLD. …”
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The Influence of Non-Landslide Sample Selection Methods on Landslide Susceptibility Prediction by Yu Fu, Zhihao Fan, Xiangzhi Li, Pengyu Wang, Xiaoyue Sun, Yu Ren, Wengeng Cao

“…This study compares three sample selection strategies: whole-region random selection, landslide buffer zone selection, and the enhanced information value (EIV) method. …”
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Considering the effect of non-landslide sample selection on landslide susceptibility assessment by Youchen Zhu, Deliang Sun, Haijia Wen, Qiang Zhang, Qin Ji, Changming Li, Pinggen Zhou, Jianjun Zhao

“…In this study, we utilized Extreme Gradient Boosting and Random Forest algorithms, and four methods (Whole-area random selection method, Buffer method, Frequency Ratio method, and Analysis Hierarchy Process) were employed to select non-landslide samples for constructing the landslide susceptibility assessment model. …”
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Effect of RICAS (Remote Ischemic Preconditioning on Collaterals of Atherosclerosis Stroke): Rationale and Design by Zi‐Ai Zhao, Yan Lv, Hui‐Sheng Chen

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How to Perform a Postgraduate Research and Write a Scientific Paper: The Underpinning Facts! by Mohanchandra Mandal, Soma Chakraborty, Debojyoti Das, Suman Chattopadhyay, Suchitra Pal

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Reference samples of the silicon single crystalls free carrier recombination lifetime by S. P. Kobeleva, I. M. Anfimov, I. V. Schemerov, L. P. Kholodny, I. V. Borzikh, V. V. Ptashinsty

“…A comparison of two methods for measurement of the free carrier recombination lifetime in the unpassivated samples of high resistivity n-type silicon single crystalls (reference samples of "GIREDMET") was made. …”
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Two Types of Size-Biased Samples When Modeling Extreme Phenomena by Apostolos Batsidis, George Tzavelas, Polychronis Economou

“…More specifically, the first type of bias arises when an <i>r</i>-size-biased sample from a set of maximum values is selected, while the second one occurs when a random sample of maxima is observed where each observation is obtained by a series of <i>r</i>-size-biased samples. …”
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The prevalence of dental midline deviations in a sample of young Iraqi adults by Nada A. Mahdi, Sami K. Al-Joubori, Nadeen J. Abdulredha, Ahmed A. Jasim

“…RESULTS: About a quarter of the total sample had dental midline shift (26%) which was more prevalent in mandibular arch. …”
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Distributed K-Means algorithm based on a Spark optimization sample. by Yongan Feng, Jiapeng Zou, Wanjun Liu, Fu Lv

“…SOSK-Means incorporates several key modifications to enhance the clustering process.Firstly, a weighted jump-bank approach is introduced to enable efficient random sampling and preclustering. By incorporating weights and jump pointers, this approach improves the quality of initial centers and reduces sensitivity to their selection. …”
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The number of available sample observations modulates gambler’s fallacy in betting behaviors by Di Wang, Yutong Li

“…In these cases, a small sample significantly exacerbates the gambler’s fallacy, whereas a larger sample substantially diminishes its impact. …”
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Classification of Leguminous Wood Species Based on Small Sample Hyperspectral Images by Hang Su, Shuo Xu, Zhongjian Wang, Wenxin Zhao, Yanan Wen, Lei Zhao

“…However, existing studies are still deficient in classification methods under small sample conditions. This paper uses hyperspectral image data and combines models such as support vector machine (SVM), random forest (RF), logistic regression (LR), and one-dimensional convolutional neural network (1-CNN). …”
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Reliability generalization meta-analysis of the food neophobia scale: Turkish sample by Eray Polat, Serkan Çalışkan

“…The Q-test and I2 values reveal significant heterogeneity between alpha coefficients, indicating a notable variation in the measurement reliability across samples. Moderator analyses using analog to the ANOVA and meta-regression analyses showed that reliability coefficients differed according to the variables of publication type, sample type, and proportion of women in the sample. …”
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Fiber Visualization with LIC Maps Using Multidirectional Anisotropic Glyph Samples by Mark Höller, Kay-M. Otto, Uwe Klose, Samuel Groeschel, Hans-H. Ehricke

“…Multicylindrical glyph samples, derived from fiber orientation distribution (FOD) functions, are used, which provide a method for anisotropic packing along integrated fiber lines controlled by a uniform random algorithm. …”
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Reading Habits Among sample of Hawler Medical College Students in Erbil by Haitham Issa Bahoo, Kameran H. Ismail, Abubakir Majeed Saleh

“…Methods: Descriptive cross-sectional study was carried among a random sample of Hawler College of medicine in Erbil City from 22nd of January to 25th of February 2015, including 200 students from third and fourth stage using a self-administered ques- tionnaires. …”
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