Association Between Gut Microbiota and Chronic Kidney Disease: A Two-Sample Mendelian Randomization Study in a Chinese Population by Wenjian Lin, Zixin Liang, Junxuan Fang, Yu Liu, Lei Lei, Jiawen Lin, Bin Xia, Zhihua Zheng, Jingqiu Yuan, Chun Tang

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A comprehensive analysis through Mendelian randomization of immunological markers and sphingolipid metabolism by Dunpeng Yang, Wentian Zhang, Qibin Wang

“…This study aimed to employ Mendelian randomization (MR) analysis to establish causal links between immunological markers, metabolic factors, and lung cancer development, while integrating multi-omics data for comprehensive molecular characterization. …”
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Analysis of hydrodynamic behavior in response to diverse pile arrangements adjacent to an impermeable dike by Sohail Iqbal, Norio Tanaka

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A numerical method for solving ill-posed problems for two-dimensional integral equations of the first kind by Igor Eduardovich Naats, Victoria Igorevna Naats, Roman Andreevich Ryskalenko

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Comprehensive Mendelian randomization analysis of low-density lipoprotein cholesterol and multiple cancers by Hengchang Liang, Chunling Tang, Yue Sun, Mingwei Wang, Tong Tong, Qinquan Gao, Hui Xie, Tao Tan

“…Abstract Purpose The aim of this study was to investigate the causal relationship between low-density lipoprotein cholesterol (LDL-C) and five cancers (breast, cervical, thyroid, prostate and colorectal) using the Mendelian Randomization (MR) method, with a view to revealing the potential role of LDL-C in the development of these cancers. Methods We used gene variant data and disease data from the Genome-Wide Association Study (GWAS) database to assess the causal relationship between LDL-C and each cancer by Mendelian randomisation analysis methods such as inverse variance weighting and MR-Egger. …”
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Supervised Sentiment Analysis of Indirect Qualitative Student Feedback for Unbiased Opinion Mining by Smitha Bidadi Anjan Prasad, Raja Praveen Kumar Nakka

“…Various pre-processing methods, including byte-order-mark removal, hashtag removal, stop word removal, and tokenization, were applied to the data. The term frequency-inverse document frequency (TF-IDF) trigrams technique was then used to process the cleaned data. …”
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Dyslipidemia and its associated factors in Ethiopia: a systematic review and meta-analysis by Addisu Getie, Temesgen Ayenew, Mihretie Gedfew, Baye Tsegaye Amlak

“…To analyze the pooled data, a weighted inverse variance random effects model with a 95% confidence interval was applied. …”
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Analysis of the effect of dietary factors on irritable bowel syndrome by Mendelian randomized method by ZHANG Huifang, WANG Yanping, WANG Huimin, MA Xiaotong, GUO Qinghong, CHEN Zhaofeng

“…Objective To explore the causal relationship between dietary factors and the risk of developing irritable bowel syndrome (IBS) through Mendelian randomization analysis.Methods In the study, dietary factor-related characteristics from published Genome-Wide Association Study (GWAS) were selected and extracted as instrumental variables, and GWAS data on IBS were obtained from FinnGen Database. …”
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Mitigating Selection Bias in Recommendation Systems Through Sentiment Analysis and Dynamic Debiasing by Fan Zhang, Wenjie Luo, Xiudan Yang

“…On this basis, we propose a dynamic selection debiased recommendation method based on sentiment analysis. This paper demonstrates how the three approaches—sentiment analysis for data sparsity, combinatorial functions for dataset optimization, and time-dynamic modeling with inverse propensity weighting—can effectively mitigate selection bias. …”
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Risk of venous thromboembolism in patients with cancer: a systematic review and meta-analysis. by Freesia Horsted, Joe West, Matthew J Grainge

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Identification of circulating metabolites associated with chronic rhinosinusitis using Mendelian randomization analysis by Fan Jiang, Junhao Tu, Wenqi Luo, Yizhen Jia, Qing Luo, Jing Ye

“…Methods: Utilizing data from the Genome-Wide Association Studies (GWAS) database, employing two-sample MR analysis to investigate the potential causal relationship between 233 circulating metabolites with the occurrence of CRS. …”
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The impact of coffee consumption on osteoarthritis: insights from NHANES and Mendelian randomization analysis by Kai Feng, Kai Feng, Peng Li, Haohui Guo, Zhirong Chen

“…However, the relationship between coffee consumption and the risk of developing OA remains ambiguous. This study aims to explore the association between coffee intake and OA complemented by Mendelian randomization (MR) to infer causality.Materials and methodsWe analyzed data from 32,439 participants across 10 NHANES cycles (1999–2018), including 3,676 individuals diagnosed with OA. …”
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Algorithm of Cardiomagnetic Signal Evaluation: "Magnetocardiographic Lead" by Mykhailo Primin, Igor Nedayvoda

“…of the parameters of the magnetic field generated by the electrical activity of the myocardium during the cardiac cycle, reconstruction and analysis of the spatio-temporal characteristics of the electrical sources in the volume of the myocardium found after the development inverse problem solution. …”
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Analysis of Correction for the Indonesian People's Accelerograph (ARI) based on MEMS ADXL 355 by Adji Satrio, Nurul Hidayat, Agustya Adi Martha, Handi Sulistyo Widodo, Hapsoro Agung Nugroho, Rafi Syah Akram, Bayu Sutejo, Tio Azhar Prakoso

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Diurnal Variations of Infrared Land Surface Emissivity in the Taklimakan Desert: An Observational Analysis by Yufen Ma, Kang Zeng, Ailiyaer Aihaiti, Junjian Liu, Zonghui Liu, Ali Mamtimin

“…This study provides three key insights for remote sensing applications: the development of dynamic emissivity correction schemes, the prioritization of the long-wave infrared band for surface temperature inversion in arid regions, and the integration of ground-based observations with geostationary high-spectral data to construct spatiotemporally continuous emissivity models. …”
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Comparative analysis of the mitogenomes of multiple species of Fagaceae, with special focus on Quercus gilva by Yu Li, Si-Si Zheng, Gregor Kozlowski, Yi-Gang Song

“…Comparative genomic analyses of the 11 Fagaceae mitogenomes reveal significant structural variations in size and gene loss. Synteny analysis further indicates extensive genome rearrangements and inversions within the 11 mitogenomes. …”
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Analysis of historical seismic parameters based on geological hazards from the Xiaonanhai earthquake by GONG Liwen, ZHANG Huai, CHEN Lijuan, WANG Zanjun, ZHANG Bingnuo, SUN Yixing, BAI Changyun

“…This study addresses the critical challenge of scarce observational data in historical earthquake research.   Methods  A novel methodology for inverting seismic parameters through characteristic earthquake relics has been developed, systematically reconstructing the historical seismic parameters of the Xiaonanhai Earthquake. …”
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Analysis of Funding for HRM and Its Relationship with Brain Drain in Greece from 2020 to 2024 by Kyriaki Efthalitsidou, Konstantinos G. Spinthiropoulos, Nikolaos Sariannidis, Konstantinos Panytsidis, Konstantina Ragazou, George Vittas

“…Results reveal a significant inverse relationship between HRM quality and brain drain rates, with workplace flexibility and career development emerging as critical predictors. …”
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Time series analysis for forecasting neonatal intensive care unit census and neonatal mortality by Hosein Dalili, Mamak Shariat, Leyla Sahebi

“…Methods We utilized seven years of retrospective daily NICU census data for model development, covering the period from March 2016 to December 2022, encompassing a total of 7,227 infants. …”
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Systematic Review and Meta-Analysis on Knowledge Attitude and Practices on African Animal Trypanocide Resistance by Keneth Iceland, Kasozi, Ewan Thomas, MacLeod, Charles, Waiswa, Michael, Mahero, Ibrahim, Ntulume, Susan Christina, Welburn

“…This generated a total of 24 publications, but after removing duplicates, review articles, and nonrelated articles, a total of eight papers were included in the analysis by following the PRISMA checklist. A meta-analysis was conducted on the data extracted and the risk ratio and inverse variance at 95% confidence interval were calculated using RevMan®. …”
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