Integrative eQTL and Mendelian randomization analysis reveals key genetic markers in mesothelioma by Jinsong Li, Xingmeng Wang, Yaru Lin, Zhengliang Li, Wei Xiong

“…Methods Three mesothelioma datasets were downloaded from the GEO database for differential gene expression analysis. Instrumental variables (IVs) were identified based on expression quantitative trait locus (eQTL) data for Mendelian randomization (MR) analysis using mesothelioma Genome-Wide Association Study (GWAS) data from the FINNGEN database. …”
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Morningness and Conscientiousness: A Meta-analysis, Online Survey and Resting fMRI Study by Debore Buzoku, Sahar Esmat, Ray Norbury

“…In the current report, meta-analysis demonstrated a significant association between morningness and conscientiousness, data that are consistent with previous meta-analyses. …”
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Biomechanics of horizontal meniscus tear and healing during knee flexion: Finite element analysis by Bingtong Yan, Minmin Lin, Yang Liu, Jiawei Li, Linjing Peng, Yifei Yao, Guangheng Li, Chao Liu

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Systematic Review and Meta-Analysis: Efficacy of Biologic Therapies in the Treatment of Degenerative Disc Disease by Mainak Roy, Madhan Jeyaraman, Naveen Jeyaraman, Arpit Sahu, Sanjeevi Bharadwaj, Abhijith K Jayan

“…Data extraction and quality assessment were performed using established tools, with meta-analysis conducted using a random-effects model. …”
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Analysis of results in patients after treatment using various segmental bone alloplasty techniques by Ya. O. Holovina, R. V. Malyk, O. Ye. Vyrva

“…Restoration of bone, adjacent joint and surrounding soft tissue integrity is an important factor in achieving full function of affected limbs in patients with bone tumors. …”
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Gene Expression Profiling and Biofunction Analysis of HepG2 Cells Targeted by Crocetin by Yi-Ling Wen, Yong Li, Guangcheng Zhu, Zhibing Zheng, Meng Shi, Si Qin

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Assessing geometric microliths as cultural markers through an analysis of shape variation and projectile performance by Alfredo Cortell-Nicolau, Alastair Key, Antoni Palomo

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Epilepsy in onchocerciasis endemic areas: systematic review and meta-analysis of population-based surveys. by Sébastien D S Pion, Christoph Kaiser, Fernand Boutros-Toni, Amandine Cournil, Melanie M Taylor, Stefanie E O Meredith, Ansgar Stufe, Ione Bertocchi, Walter Kipp, Pierre-Marie Preux, Michel Boussinesq

“…<h4>Objective</h4>We sought to evaluate the relationship between onchocerciasis prevalence and that of epilepsy using available data collected at community level.<h4>Design</h4>We conducted a systematic review and meta-regression of available data.…”
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Construction and Realization Path Analysis of Cross-Border E-Commerce Logistics Collaboration Model by Meng Ma

“…In addition, this paper deeply analyzes the data fusion function performed by MA when accessing nodes and proposes a data fusion criterion to judge the necessity of data fusion on nodes. …”
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Meta-analysis of pollen limitation reveals the relevance of pollination generalization in the Atlantic forest of Brazil. by Marina Wolowski, Tia-Lynn Ashman, Leandro Freitas

“…We calculated species' effect size (d) from data on fruit set after hand cross-pollination and natural pollination and conducted standard and phylogenetically independent meta-analysis. …”
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Statistical analysis of disability: Utilizing the modified kies power unit inverse Lindley model by Mohamed A. Abd Elgawad, Safar M. Alghamdi, Rana H. Khashab, Etaf Alshawarbeh, Ehab M. Almetwally, Mohammed Elgarhy

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Association between Ventilation Disorder and Masticatory Dysfunction in the Korean Adult Population: A Cross-Sectional Study Using Data from the 2019 Korea National Health and Nutr... by So-Yeong Kim, Sun-A Lim

“…Additionally, of the 4119 adults aged ≥40 years who underwent dual lung function tests, those who did not respond to key independent confounding variables were excluded. …”
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Causal role of immunophenotypes in HIV-1 acquisition: insights from Mendelian randomization analysis by Nan Li, Chuan He

“…We validated our findings using Summary-data-based MR analysis, integrating eQTL and mQTL data from the GTEx project. …”
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Confirmation of driving principle by weight analysis of Integration Neural Network and extension of deductive approximator by Yoshiharu IWATA, Hidefumi WAKAMATSU

“…The integral neural network is a linear approximator using deductive knowledge that constrains the shape of the approximate curve between learning points by multiple regression analysis in which the basis function is determined by deductive information and an inductive learning method that suppresses overlearning of the linear approximator by compensating factors that are not expressed in the basis function by deductive information of the linear approximator. …”
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Reliability Analysis and Maintenance Strategy Optimization of Subway Station Platform Screen Door System by WEI Donghua, LI Zhengzhong, LI Li, LI Sheng

“…To ensure the safe and stable operation of the PSD system, a reliability analysis of this system is carried out based on fault data, and its maintenance strategy is optimized and adjusted as per analysis results. …”
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Analysis of adverse events with ruxolitinib using real-world datasets and drug-interaction networks by Hideyuki Tanaka, Mika Maezawa, Mizuki Tanaka, Ryogo Umetsu, Sakiko Hirofuji, Koumi Miyasaka, Satoshi Nakao, Yuka Nokura, Moe Yamashita, Nanaka Ichihara, Kana Sugishita, Tomofumi Yamazaki, Kohei Shiota, Hirofumi Tamaki, Kazuhiro Iguchi, Mitsuhiro Nakamura

“…Future research should explore the underlying pharmacological mechanisms using functional enrichment analysis of ruxolitinib-associated genes related to blood toxicity and bacterial infections.…”
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In the battle of survival: transcriptome analysis of hypopharyngeal gland of the Apis mellifera under temperature-stress by Abdulkadir Yusif Maigoro, Jeong Hyeon Lee, Yumi Yun, Sujin Lee, Hyung Wook Kwon

“…This study aims to decode molecular signatures and the pathways of the HGs tissue in response to temperature-stress and the rapid genetic changes that impact not only royal jelly (RJ) production potential but also other biological functions related to HGs and beyond. Results From the analyzed RNA-seq data, 1,465 significantly differentially expressed genes (DEGs) were identified across all the temperature groups. …”
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Lactylation Modification as a Promoter of Bladder Cancer: Insights from Multi-Omics Analysis by Yipeng He, Lingyan Xiang, Jingping Yuan, Honglin Yan

“…The Lasso algorithm was used to establish a prognostic model related to lactylation modification, and its predictive ability was tested with a validation cohort. Functional enrichment analysis, tumor microenvironment analysis, and treatment response evaluation were performed on the high- and low-risk groups. …”
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Influence of underwater light fields on pigment characteristics in the Baltic Sea - results of statistical analysis by Joanna Stoń-Egiert, Roman Majchrowski2, Mirosław Darecki, Alicja Kosakowska, Mirosława Ostrowska

“…Statistical analysis yielded relationshipsbetween the total relative (to chlorophyll <i>a</i> concentrations) concentrations of major groups of phytoplankton pigments andoptical depth &tau;, between the total relative concentrations of major groups of photosynthetic pigments (chlorophylls <i>b</i> (C_{chl <i>b</i> tot} / C_{chl <i>a</i> tot}), chlorophylls <i>c</i> (C_{chl <i>c</i> tot} / C_{chl <i>a</i> tot})and photosynthetic carotenoids (C_{PSC tot} / C_{chl <i>a</i> tot})) and the spectral fitting function (the "chromatic acclimation factor"),and between the total relative concentrations of photoprotective carotenoids (C_{PPC tot} / C_{chl <i>a</i> tot}) in Baltic waters and the potentially destructive radiation (PDR), defined as the absolute amount of energy in the blue part of the spectrum (400-480 nm) absorbed by unit mass ofchlorophyll <i>a</i>. …”
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Identifying key genetic variants in Alzheimer’s disease progression using Graph Convolutional Networks (GCN) and biological impact analysis by Belal A. Hamed, Heba Mamdouh Farghaly, Ahmed Omar, Tarek Abd El-Hafeez

“…Using rigorously curated data from the GWAS Catalog and AD-specific functional networks (FGN), the model achieved exceptional performance (accuracy: 98.04 ± 0.32%, AUROC: 0.996). …”
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