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  1. 521
  2. 522

    Health Monitoring of Thick Materials Using Piezoceramic Patches, Time Signals, and Wavelet Transmittance Functions by D.R. Hughes, A. Ghoshal, E. Rowe, M.J. Sundaresan, M.J. Schulz, J.T. Feaster

    Published 2004-01-01
    “…This paper mainly deals with the development of WTF and the associated damage indicator by analyzing the simulated and experimental sets of data.…”
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    Article
  3. 523

    Uncertain Single-Machine Scheduling with Deterioration and Learning Effect by Jiayu Shen

    Published 2020-01-01
    “…To address the problem in an uncertain environment, the expected value model and pessimistic value model are developed. These models can be converted into equivalent models based on the inverse distribution method. …”
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    Article
  4. 524

    Causal relationship between gut microbiota and dental caries: a two-sample mendelian randomization study by Yang Wang, Quan Li, Jinqi Hua, Hongliang Que, Haoxiang Xu, Xinyu Xu, Ninghan Feng

    Published 2025-04-01
    “…Methods First, gut microbiota and dental caries data from genome-wide association studies (GWAS) were analyzed using Mendelian randomization analysis. …”
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    Article
  5. 525
  6. 526

    The Causal Role of Esophageal Cancer and Gut Microbiota: A Bidirectional Mendelian Randomization Study by Wei Su MD, Han Chen MD, Die Hu MD, Bixing Ye MD, PhD, Weifeng Zhang MD, Guoxin Zhang MD, PhD, Xinmin Si MD, PhD, Xiaoying Zhou MD, PhD

    Published 2025-02-01
    “…A bidirectional Mendelian randomization (MR) analysis was conducted using the inverse-variance weighted (IVW) method. …”
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    Article
  7. 527

    A Mendelian randomization study on the causal association of circulating cytokines with diabetic nephropathy by Yiming Xu, Tian Xiao, Junqing Yang, Jiali Wang, Bingting Wang, Chen Qiao

    Published 2025-07-01
    “…We selected eligible instrumental SNPs that were significantly related to the circulating cytokines. Multiple MR analysis approaches were employed, including inverse variance weighted (IVW), Weighted Median, MR‐Egger, Weighted Mode, Simple Mode, and MR pleiotropy residual sum and outlier (MR‐PRESSO) methods. …”
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    Article
  8. 528

    The effect of mineral fertilizers on productivity of the new spring barley variety ‘Znatny’ in the non-blackearth part of the Russian Federation by О. V. Levakova, O. V. Gladysheva

    Published 2021-09-01
    “…According to the obtained data, an increase in the doses of applied fertilizers (N90Р90К90–N120Р120К120) resulted in the intensified development of most leaf diseases and a decrease in lodging resistance. …”
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    Article
  9. 529

    Causal relationship between osteoporosis, bone mineral density, and osteonecrosis: a bidirectional two-sample Mendelian randomization study by Chao Zhang, Hao Yu, Yulin Miao, Biaofang Wei

    Published 2025-02-01
    “…Genetic instruments were selected based on genome-wide significance, linkage disequilibrium, and strength (F-statistic). Bidirectional MR analysis was performed using inverse-variance weighted (IVW), MR-Egger regression, and weighted median methods to assess causality. …”
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    Article
  10. 530

    The role of immune cells in cirrhosis: evidence from a two-sample Mendelian randomization study by Yao Chen, Kui Wang, Yunpeng Liu, Huilei Zeng, Huan Long, Jianhua Kang, Suijian Wang, Jianzhong He

    Published 2025-07-01
    “…The Mendelian randomization(MR) study was employed to explore relationships between these factors, aiming to provide new directions and insights for clinical research. Methods The genetic data associated with cirrhosis from genome-wide association studies (GWAS) were obtained from the FinnGen R10 database.Inverse variance weighting (IVW) completing with MR-Egger, weighted mode, simple mode, and weighted median were adopted to enhance the robustness of our analysis. …”
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    Article
  11. 531
  12. 532

    A causal association between chemokines and the risk of lung cancer: a univariate and multivariate mendelian randomization study by Mengmeng Wang, Mingjun Gao, Wenbo He, Siding Zhou, Yusheng Shu, Xiaolin Wang

    Published 2024-11-01
    “…Mendelian randomization (MR) analyses were performed by five methods, Inverse variance weighted (IVW), Weighted median estimation, MR-Egger, Simple mode and Weighted, with IVW as the primary analysis method. …”
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    Article
  13. 533

    Blood cell perturbation responses mediate the causal relationship between the gut microbiota and asthma: a bidirectional Mendelian randomization study by Junjie Bi, Liqun Zhao, Xue Liu, Jingjing Zhang, Wei Zhang

    Published 2025-08-01
    “…Employing Mendelian randomization (MR) techniques, we evaluated the causal associations among gut microbiota, blood cell perturbation responses, and these asthma phenotypes, primarily using inverse variance weighting (IVW) for statistical analysis. …”
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    Article
  14. 534

    Impact of an mHealth App (Kencom) on Patients With Untreated Hypertension Initiating Antihypertensive Medications: Real-World Cohort Study by Koichiro Matsumura, Atsushi Nakagomi, Eijiro Yagi, Nobuhiro Yamada, Yohei Funauchi, Kazuyoshi Kakehi, Ayano Yoshida, Takayuki Kawamura, Masafumi Ueno, Gaku Nakazawa, Takahiro Tabuchi

    Published 2024-11-01
    “…We conducted a modified Poisson regression analysis, weighted by inverse probability of treatment weighting, to examine the effect of mHealth app usage on the initiation of antihypertensive medications. …”
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    Article
  15. 535

    Serum metabolites and risk of sudden sensorineural hearing loss: A Mendelian randomization study by Wenhui Yuan, Yong Liu, Chao Liu, Yuanzheng Qiu

    Published 2025-07-01
    “…The inverse variance weighted method was the primary method for causality analysis while MR-Egger, weighted median and MR-RAPS served as complementary approaches. …”
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    Article
  16. 536

    Causal relationship between inflammatory cytokines and polycystic ovary syndrome: a bidirectional mendelian randomization study by Danling Tian, Jinfeng Chen, Liang Liu

    Published 2024-11-01
    “…We performed an interactive MR study to assess the causal relationships between 91 inflammatory cytokines and PCOS using Genome Wide Association Study (GWAS) data. We underwent dual-sample MR analysis with inverse variance weights (IVW) as the predominant MR methodology with multiple validity and heterogeneity analyses. …”
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    Article
  17. 537

    Machine Learning for Predicting Required Cross-Sectional Dimensions of Circular Concrete-Filled Steel Tubular Columns by Anton Chepurnenko, Samir Al-Zgul, Vasilina Tyurina

    Published 2025-04-01
    “…The models were trained on synthetic data generated in accordance with Russian design codes. …”
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    Article
  18. 538

    Associations between multiple metals exposure and bone mineral density: a population-based study in U.S. children and adolescents by Jian Han, Jiaqing Sun, Lin Yuan, Luyao Lou, Xiaofeng Jiang

    Published 2025-05-01
    “…Abstract Aim This study examined the correlation between multi-metal exposure and bone mineral density (BMD) in U.S. children and adolescents. Methods Data from 1,591 participants (aged 8–19) were analyzed using the National Health and Nutrition Examination Survey (NHANES) 2011–2016. …”
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  19. 539

    Association between the triglyceride glucose index and the risk of acute respiratory failure in patients with acute pancreatitis by Jiao Lv, Yuanjun Zhou, Changyan Tao, Yan Cai, Hongfeng Yang, Juan Xu, Jun Chen, Ruxian Sun

    Published 2025-03-01
    “…Methods Retrospective cohort analysis was conducted with the MIMIC-IV 2.2 critical care data. …”
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    Article
  20. 540

    Tibiofemoral Joint Contact Force Estimation Based on OpenSim Musculoskeletal Modeling by WANG Xiaoling, JIAN Jiawei, XIE Qiurong, LIAN Zhanghui, GUO Chunming, GUO Jiemei, LI Yurong

    Published 2024-01-01
    “…Through the model scale, inverse kinematics, inverse dynamics analysis, residual reduction processing and muscle control and analysis, medial/lateral tibiofemoral contact force is estimated during walking gait, considering the contribution of external force and internal muscle strength. …”
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    Article