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  1. 481
  2. 482

    Clinical Utility of Systemic Inflammation Markers in Identifying Endometrial Hyperplasia and Adenocarcinoma by Tevfik B. Bıldacı, Can Ata, Huseyin A. Avsar, Ufuk Atlıhan, Selcuk Erkılınc

    Published 2024-10-01
    “…Methods: A retrospective analysis was conducted on data collected from 154 patients. …”
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    Article
  3. 483

    Characterization and application of flow heterogeneity in high water cut reservoirs by ZHANG Min, JIN Zhongkang, FENG Xubo

    Published 2025-04-01
    “…This coefficient is applicable to non-normally distributed data, ranging from 0 to 1, and can quantitatively characterize flow variability. …”
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    Article
  4. 484

    Vulnerability of maize, millet, and rice yields to growing season precipitation and socio-economic proxies in Cameroon. by Terence Epule Epule, Abdelghani Chehbouni, Driss Dhiba, Daniel Etongo, Fatima Driouech, Youssef Brouziyne, Changhui Peng

    Published 2021-01-01
    “…Here, an assessment of the vulnerability of maize, millet, and rice to growing season precipitation is carried out at a national scale and validated at four sub-national scales/sites. The data collected were historical yield, precipitation, and adaptive capacity data for the period 1961-2019 for the national scale analysis and 1991-2016 for the sub-national scale analysis. …”
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    Article
  5. 485

    Exploring the causal relationship between inflammatory cytokines and intrahepatic cholangiocarcinoma: a Mendelian randomization study by Yue Tang, Jialu Chen, Delong Qin, Zonglong Li, Xinjian Xu, Zhaohui Tang

    Published 2025-04-01
    “…Results The study suggests a possible causal link between Tumor Necrosis Factor-Related Apoptosis-Inducing Ligand (TRAIL) and ICC. Inverse variance weighting analysis revealed that higher levels of TRAIL are associated with a reduced risk of ICC (OR: 0.65, 95% CI: 0.47-0.89, p < 0.01). …”
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    Article
  6. 486

    Hardiness and psychological safety of a teacher in an educational environment by E. A. Shmeleva, P. A. Kislyakov, N. I. Kolchugina, T. K. Phan

    Published 2022-11-01
    “…Rasskazova), “The Index of Well-Being” (WHO-5) (Well-Being Index, WHO). The data obtained were processed using descriptive statistics, factor analysis (principal component method, Varimax rotation), correlation and regression analysis.Results and scientific novelty. …”
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  7. 487

    Loading rate, geometry, and damage state influence vertical extraction biomechanics in an ex vivo swine dental model by Timothy J. Gadzella, Karyne N. Rabey, Michael R. Doschak, Lindsey Westover, Owen Addison, Owen Addison, Dan L. Romanyk, Dan L. Romanyk

    Published 2025-01-01
    “…Crosshead force-displacement data was used in an inverse finite element analysis (IFEA) to verify parameters for the PDL in an axisymmetric model of tooth extraction. …”
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  8. 488

    Arterial hypertension with comorbid chronic obstructive pulmonary disease: relationship between tolerance to physical exercise and structural and functional state of the heart. by T. Z. Burtniak, V. A. Potabasniy, V. I. Fesenko

    Published 2019-12-01
    “…We found a direct correlation between left atrium (LA) and the ratio of expiratory volume per 1 sec (FEV1) to the forced lung capacity (FEV) – FEV1/FVC (r=0.32; p˂0.05), which indicates the effect of the severity of bronchial obstruction on the level of left ventricular (LV) overload in patients with hypertension combined with COPD. The inverse correlation between thickness of the posterior wall of the LV (RVWT) and FEV1/FVC (r= -0.32; p˂0.05) indicates the contribution of disorders of bronchial patency and intrathoracic pressure with the level of BP to the development of concentric remodeling and LV hypertrophy. …”
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    Article
  9. 489

    Causal links between plasma lipidome and ovarian cancer risk: evidence from Mendelian randomization by Huke Dong, Chen Zhang, Hua Wang, Ying Dai

    Published 2025-05-01
    “…This study utilized a two-sample Mendelian randomization method to examine the causal link between changes in 179 plasma lipid groups and ovarian cancer (OC) to gain deeper insights into this association. We used the inverse variance weighted (IVW) method as the main tool for analysis. …”
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  10. 490

    Genetic Insights Into the Role of Cathepsins in Alzheimer's Disease, Parkinson's Disease, and Amyotrophic Lateral Sclerosis: Evidence From Mendelian Randomization Study by Yanhong Jiang, Wenhui Fan, Yaxin Li, Hua Xue

    Published 2025-01-01
    “…We employed the following methods, including inverse variance weighting (IVW), MR‐Egger, and weighted median (WM). …”
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  11. 491

    Constraint Study for a Hand Exoskeleton: Human Hand Kinematics and Dynamics by Fai Chen Chen, Silvia Appendino, Alessandro Battezzato, Alain Favetto, Mehdi Mousavi, Francesco Pescarmona

    Published 2013-01-01
    “…A collection of data and constraints relevant to hand movements is presented, and the direct and inverse kinematics are solved for all the fingers as well as the dynamics; anthropometric data and dynamics equations allow performing simulations to understand the behavior of the finger.…”
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  12. 492

    The causal relationship between biological function of mitochondria and chronic kidney disease: a Mendelian randomization study by Yuan Xin-zhu, Li Ling-qin, Zhou Rui-jiao, Lin Chang-wei, Xia Meng-di, Wang Bao-fu, Xie Xi-sheng

    Published 2025-05-01
    “…ObjectiveTo investigate the causal relationship between mitochondrial functional proteins and chronic kidney disease (CKD) using Mendelian randomization analysis, thus providing a genetic reference for the early prevention of CKD.MethodsPublicly accessible GWAS data were collected and used to analyze the causal relationship between mitochondrial functional proteins and CKD, with inverse variance weighted analysis as the core method. …”
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    Article
  13. 493

    Association between Dietary Potassium Intake and Nonalcoholic Fatty Liver Disease and Advanced Hepatic Fibrosis in U.S. Adults by Hao-Kai Chen, Qi-Wen Lan, Yu-Jia Li, Qing Xin, Run-Qi Luo, Jun-Jie Wang

    Published 2024-01-01
    “…Employing the multiple logistic regression analysis, we evaluated the association of dietary potassium intake with NAFLD and AHF. …”
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  14. 494

    Genetically predicted inflammatory proteins mediate the association between gut microbiota and renal cell carcinoma by Xinyun Zou, Dong Li, Ling Zhang, Jinlan Shen

    Published 2025-02-01
    “…Furthermore, we examined the mediating role of inflammatory protein in the pathway through which gut microbiota influences the development of renal cell cancer. Results The analysis revealed 12 positive causal relationships and 15 negative causal relationships between the genetic liability of gut microbiota and renal cell cancer. …”
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  15. 495

    Causal effects between gut microbiota and endometriosis: a two-sample Mendelian randomisation study by Tiefeng Cao, Yunfei Wang, Shen Huimin

    Published 2024-12-01
    “…Inverse variance-weighted (IVW) was used as the main MR analysis to infer causal relationships. …”
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    Article
  16. 496

    Multivariate Spatial Autoregressive Model with Latent Variables: Application to Economic Growth Modeling by Anik Anekawati, Purhadi, Mohammad Rofik

    Published 2025-10-01
    “…Research involving causal relationships among latent variables that generally use structural equation modeling (SEM) analysis and spatial data simultaneously has an unavoidable impact on using spatial SEM analysis. …”
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  17. 497

    Eosinophilic cationic protein as a non-invasive marker of the nature of inflammatory response in patients with chronic obstructive pulmonary disease by M. A. Karnaushkina, S. V. Fedosenko, R. S. Danilov, I. S. Komarova, V. A. Petrov

    Published 2020-04-01
    “…They made 2 visits for the collection of anamnestic data and the performance of the main study procedures: respiratory function test, 6-minute step test, dyspnea assessment according to the Medical Research Council Scale questionnaire and sputum and blood analysis in order to determine the level of eosinophils and ECP. …”
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  18. 498

    Relationship between oxidative balance score and risk of sleep-related problems by Piao Chen, Jin Wang, Ling Liu, Xiaoling Liu

    Published 2025-04-01
    “…Additionally, these models were used to identify points of inflection.ResultsLogistic regression analysis revealed an inverse association between OBS and the risk of insufficient sleep hours (OR = 0.98, 95% CI, 0.96 -0.99, p &lt; 0.01). …”
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  19. 499

    Sedimentary Model of Sublacustrine Fans in the Shahejie Formation, Nanpu Sag by Zhen Wang, Zhihui Ma, Lingjian Meng, Rongchao Yang, Hongqi Yuan, Xuntao Yu, Chunbo He, Haiguang Wu

    Published 2025-08-01
    “…To address the impact of faults on sublacustrine fan formation and spatial distribution within the study area, this study integrated well logging, laboratory analysis, and 3D seismic data to systematically analyze sedimentary characteristics of sandbodies from the first member of the Shahejie Formation (Es<sub>1</sub>) sublacustrine fans, clarifying their planar and cross-sectional distributions. …”
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  20. 500

    Optimasi Algoritma Support Vector Machine Berbasis Kernel Radial Basis Function (RBF) Menggunakan Metode Particle Swarm Optimization Untuk Analisis Sentimen by Cucun Very Angkoso, Khozainul Asror, Ari Kusumaningsih, Andi Kurniawan Nugroho

    Published 2025-06-01
    “…The results also show that PSO improves model accuracy in sentiment analysis with imbalanced data challenges, providing deeper insights for application developers to improve services. …”
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    Article