The causal relationship between drinking water and gastrointestinal cancers: a two‐sample mendelian randomization analysis by Liang Gui, Jian Wang

“…Drinking water is a daily human activity, but the intrinsic connection between water intake and gastrointestinal (GI) cancers is still unclear. We used the two‐sample mendelian randomization (TSMR) method to explore the potential causal relationship between water consumption and GI cancers. …”
Get full text

Two‐Sample Bidirectional Mendelian Randomization Study With Causal Association Between Metabolic Syndrome and Cerebral Aneurysm by Yu Li, Kai Zhao

“…ABSTRACT Background We used a two‐sample mendelian randomization (MR) method to comprehensively investigate the causality of metabolic syndrome (MetS) or its components, including MetS, triglyceride (TG), high‐density lipoprotein cholesterol (HDL‐C), low‐density lipoprotein cholesterol (LDL‐C), fasting blood glucose (FBG), waist circumference (WC), and hypertension (HP), with cerebral aneurysm including nonruptured and ruptured aneurysmal subarachnoid hemorrhage (SAH). …”
Get full text

The causal relationship between gut microbiota and gouty nephropathy based on two-sample bidirectional Mendelian randomization by Xiao Mei-di, Zhang Wen-wen, Xu Ya-jie, Zhang Jing, Zhou Jin

Subjects: “…Mendelian randomization…”
Get full text

Causal correlations between inflammatory proteins and heart failure: A two‐sample Mendelian randomization analysis by Xian‐Guan Zhu, Gui‐Qin Liu, Ya‐Ping Peng, Li‐Ling Zhang, Xian‐Jin Wang, Liang‐Chuan Chen, Yuan‐Xi Zheng, Xue‐Jun Xiang, Rui Qiao, Xian‐He Lin

“…This study aims to investigate the genetically supported causality between inflammatory proteins and HF using a two‐sample Mendelian randomization (MR) analysis. Methods and results We utilized genome‐wide association study (GWAS) data of 91 inflammation‐related proteins as exposures from the SCALLOP Consortium (14,824 participants), alongside outcome GWAS summary statistics from FinnGen (29,218 cases/381,838 controls) and HERMES (47,309 cases/930,014 controls) for HF, to conduct a two‐sample MR analysis. …”
Get full text

The Impact of Gut Microbiota on Chronic Obstructive Pulmonary Disease: A Dual-Sample Mendelian Randomization Study by Niu N, Zhao J, Li H, Miao Y, Chen F, Liu J, Cao L, Ji T, Gao F, Xie S, Zhang Y

“…Hence, we conducted a dual-sample Mendelian randomization study to elucidate the impact of gut microbiota on COPD.Methods: We utilized single-nucleotide polymorphisms (SNPs) as instrumental variables, and the Inverse Variance Weighted (IVW) method for primary analysis. …”
Get full text

White blood cell traits and lung cancer risk: a two-sample mendelian randomization analysis by Kaijun Long, Zhengfeng Zhu, Xinzhe Zheng, Gang Xu, Cheng Chen, Xixian Ke

“…Abstract This study aimed to investigate the potential association between white blood cell counts and the risk of lung cancer, including its subtypes, through Mendelian randomization (MR) analysis. We conducted a two-sample MR analysis using genome-wide association study (GWAS) summary statistics for the both exposure traits (eosinophil count, neutrophil count, lymphocyte count, monocyte count, basophil count, and total white blood cell count) and outcome traits (lung cancer and its subtypes). …”
Get full text

Immune System Alterations in the Development of Three Urological Cancers: Insights from Large-Sample Mendelian Randomization by Zhijian Chen, Ye Xie, Xiong Chen, Guibin Hong, Runnan Shen, Haishan Lin, Fan Jiang, Yun Wang, Mengyi Zhu, Yixuan Liu, Haoxuan Wang, Hongkun Yang, Tianxin Lin, Shaoxu Wu

Get full text

Sample intensity in ombrophilous open forest at Verde Para Sempre Extractive Reserve, Porto de Moz, PA by Fábio Miranda Leão, Luiz Fernandes Silva Dionisio, Loirena do Carmo Moura Sousa, Marlon Costa de Menezes, Marcelo Henrique Silva de Oliveira, Raphael Lobato Prado Neves

Subjects: “…Amazon. Random sampling. Forest census. Accuracy. Forest Inventory.…”
Get full text

Hormonal determinants of prehypertension in a random sample of St. Petersburg residents: data from the ESSE-RF study by A. M. Erina, M. A. Boyarinova, E. V. Moguchaya, E. P. Kolesova, E. Yu. Vasilyeva, A. S. Alieva, N. A. Paskar, O. P. Rotar, E. I. Baranova, A. O. Konradi, E. V. Shlyakhto

“…As part of the ESSE-RF epidemiological study, a random sample of 1600 residents of St. Petersburg at the age of 25-64 was examined. …”
Get full text

Investigating causal effects of income on health using two-sample Mendelian randomisation by Erik Igelström, Marcus R. Munafò, Ben M. Brumpton, Neil M. Davies, George Davey Smith, Pekka Martikainen, Desmond Campbell, Peter Craig, Jim Lewsey, S. Vittal Katikireddi

Get full text

Encrypted traffic identification scheme based on sliding window and randomness features by LIU Jiachi, KUANG Boyu, SU Mang, XU Yaqian, FU Anmin

Subjects: Get full text

Correspondence: Can Menstrual Cycle Length Predict Cardiovascular Risk in Healthy Indian Females? by Avnesh Kumar Singh, Shikha Singh

“…Convenient non random sampling was incorrectly referred to as simple random sampling in the article. …”
Get full text

Comment on “A randomized double-blind trial of intranasal dexmedetomidine versus intranasal esketamine for procedural sedation and analgesia in young children” by Jiajing Wang

Get full text

Causal Relationship Between Blood Metabolites and Osteoporosis: A Two-Sample Mendelian Randomization and Genetic Correlation Analysis by Xu Liu, Guang Yang, Yusheng Li, Wenfeng Xiao, Bangbao Lu, Yaping Wang

“…This study investigates the causal relationship between circulating metabolites and OP-related phenotypes using Mendelian Randomization (MR). <b>Methods:</b> GWAS data on 233 metabolic traits from 136,016 participants were analyzed through two-sample MR. …”
Get full text

How to choose a sampling technique and determine sample size for research: A simplified guide for researchers by Sirwan Khalid Ahmed

“…The differences between probability sampling techniques, including simple random sampling, stratified sampling, and cluster sampling, and non-probability methods, such as convenience sampling, purposive sampling, and snowball sampling, have been fully explained. …”
Get full text

The causal effect of serum amino acids on the risk of prostate cancer: a two-sample mendelian randomization study by Long Miao, Qichao Wang, Sen Kan, Wanqi Liu, Yijing Zhang, Wei Chen, Nienie Qi, Xiliang Cao

Subjects: Get full text

Real-Time 14-Gbps Physical Random Bit Generator Based on Time-Interleaved Sampling of Broadband White Chaos by Longsheng Wang, Tong Zhao, Daming Wang, Danyu Wu, Lei Zhou, Jin Wu, Xinyu Liu, Yuncai Wang, Anbang Wang

“…We experimentally demonstrate a real-time high-speed physical random bit generator using the time-interleaved sampling of broadband white chaos. …”
Get full text

A new auxiliary variables-based estimator for population distribution function under stratified random sampling and non-response by Sohail Ahmad, Hasnain Iftikhar, Moiz Qureshi, Ilyas Khan, Abdoalrahman S. A. Omer, Elías A. Torres Armas, Javier Linkolk López-Gonzales

“…Recent studies estimate the population distribution function by applying stratified random sampling and non-response techniques, but there are some limitations in using the auxiliary data. …”
Get full text

Landslide susceptibility assessment and zonation using negative sampling strategy: A case study of Bazhong area, Sichuan Province by Xueqiang GONG, Chuanjie XI, Xiewen HU, Yayun HU, Yonghao ZHOU, Yu ZHANG

“…This study, focuses on Bazhong City as the research area, incorporates eleven conditioning factors including elevation, relief, and annual average rainfall to develop a geographically weighted regression - random forest (GWR-RF) coupling model. This model optimize the negative sampling strategy by comparing it against traditional random sampling across the entire area. …”
Get full text

A Bidirectional Two-Sample Mendelian Randomization Study of Genetic Causality Between Vitamin D Levels and Pemphigus by Wang Y, Cheng S, Que H

“…This study used genome-wide association study (GWAS) data for bidirectional two-sample Mendelian randomization (MR) analysis to clarify causality.Materials and Methods: Genetic instruments for serum vitamin D levels (61 SNPs) and pemphigus (3 SNPs) were analyzed via inverse variance weighting (IVW), weighted median, and MR-Egger regression. …”
Get full text