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  1. 621

    Causal relationship between hormone levels and lung cancer: a Mendelian randomization study by Zhiying Feng, Jingmin Fu, Kangyu Wang, Jiaxin Yang, Xuelian Jiang, Qiong Wu

    Published 2025-02-01
    “…We explored the causal relationship between 15 hormones and three subtypes of lung cancer. The inverse variance weighted (IVW) method was used as the primary analysis, while MR-Egger, weighted median, weighted mode, and simple median were applied as supplementary methods. …”
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    Article
  2. 622

    The causal associations of 25(OH)D and its metabolites with oropharyngeal cancer risk: a Mendelian randomization study by YaoHui Yu, Yu Zhou

    Published 2025-07-01
    “…The primary analytical method for two-sample MR analysis was inverse-variance weighting (IVW); supplemental analyses (weighted median [WM], MR–Egger) were also conducted. …”
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  3. 623
  4. 624

    A radiomics-based interpretable model integrating delayed-phase CT and clinical features for predicting the pathological grade of appendiceal pseudomyxoma peritonei by Dong Bai, Guanjun Shi, Yuanzi Liang, Fang Li, Zhuozhao Zheng, Zhiqun Wang

    Published 2025-07-01
    “…DCA confirmed greater clinical utility across most threshold probabilities, with favorable Brier scores (training:0.124; testing:0.142) indicating excellent calibration. SHAP analysis identified the top predictive features: wavelet-LHH_glcm_InverseVariance (radiomics), original_shape_Elongation (radiomics), and CA-199 (clinical). …”
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    Article
  5. 625

    Lipid-lowering drug targets associated with risk of respiratory disease: a Mendelian randomization study by Zhipeng Gong, Dongsheng Wu, Yin Ku, Congyao Zou, Lin Qiu, Xiaohu Hao, Lunxu Liu

    Published 2025-02-01
    “…Three statistical approaches were employed for MR analysis: inverse variance weighting (IVW), MR-Egger, and weighted median. …”
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    Article
  6. 626

    The study of factors affecting acute odontogenic osteomyelitis prevalence among Zaporozhye citizens by N. G. Barannik, S. D. Varzhapetyan, I. V. Kuropata, I. V. Berduk, O. N. Manukhina

    Published 2014-08-01
    “…Recording and processing the following criteria of data: diagnosis, age, sex, cause of the disease, the patient's place of residence, length of hospital stay, employed patients, therapy. …”
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    Article
  7. 627

    M-CSF Protects Against Ulcerative Colitis via Aconitate: Mendelian Randomization and Experimental Evidence by Zhang Y, Huang L, Yue N, Mai Z, Kong C, Tian C, Wei DR, Yao J, Wang L, Li D

    Published 2025-07-01
    “…In addition, MR analysis showed M-CSF had an inverse correlation with the disease onset of UC (OR: 0.31, 95% CI: 0.15– 0.80, p = 0.002, IVW beta all = − 1.16). …”
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    Article
  8. 628

    A physiologically-based pharmacokinetic model for the antibiotic ertapenem by Michele L. Joyner, Cammey C. Manning, Whitney Forbes, Michelle Maiden, Ariel N. Nikas

    Published 2015-09-01
    “…Parameters in the model were estimated using a least squares inverse problem formulation with published data for blood concentrations of ertapenem for normal height, normal weight males. …”
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    Article
  9. 629
  10. 630

    The newly proposed dietary index for gut microbiota and its association with the risk of nonalcoholic fatty liver disease: the mediating role of body mass index by Shengnan Meng, Luonan Li, Shijie Yin, Yuxuan Zhao, Yaning Liu, Yuxi Zhang, Xiaolin Zhang, Fengxue Yu

    Published 2025-06-01
    “…Methods In this cross-sectional study, we utilized data from the NHANES 2009–2018. Multivariable logistic regression, restricted cubic spline curves (RCS), subgroup analysis, and mediation analysis were used to evaluate the association between DI-GM and the risk of NAFLD. …”
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    Article
  11. 631

    Brief Report: Exercise and Blood Pressure in Older Adults—An Updated Look by George A. Kelley, Kristi S. Kelley

    Published 2018-01-01
    “…Measurements. The recently developed inverse heterogeneity model (IVhet) was used to pool findings and the Doi plot was used to examine for small-study effects. …”
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    Article
  12. 632

    Lipid have a direct effect on multiple myeloma: a Mendelian randomization study by Yingbin Zhong, Yingbin Zhong, Yingbin Zhong, Yingbin Zhong, Yanhao Li, Weipeng Sun, Mingfeng Xiao, Mingfeng Xiao, Mingfeng Xiao

    Published 2024-06-01
    “…This study aims to explore this relationship using Mendelian randomization (MR) analysis.MethodsLiposome-associated genetic instrumental variables (IVs) were identified from plasma lipidomics data of 7,174 Finnish individuals within a Genome-Wide Association Study (GWAS) pooled database. …”
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    Article
  13. 633

    Assessing Causality Between Plasma Brain‐Derived Neurotrophic Factor With Major Depression Disorder: A Bidirectional Mendelian Randomization Study by Ming Chen, Hao‐Zhang Huang, Yi‐Hui Liu, Qiang Li, Lin‐Yan Fu, Cai‐Lan Hou

    Published 2025-03-01
    “…Multiple MR methods were applied to ensure a robust analysis. Results The inverse variance weighted (IVW) method revealed no significant association between plasma BDNF levels and the risk of developing MDD (IVW odds ratio [OR] = 1.00, 95% confidence interval [CI] = 0.99–1.01, p = 0.769). …”
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  14. 634

    Association between thyroid dysfunction and diabetic retinopathy: a two-sample bidirectional Mendelian randomization study by Jiali Chen, Jianghao Xiong, Fenfen Zhang, Wanyu Pan, Shaomin Cheng

    Published 2024-12-01
    “…In the reverse MR analysis, DR was found to be associated with an elevated risk of developing hyperthyroidism and hypothyroidism (IVW: OR = 1.56, 95% CI 1.38–1.76, P < 0.001; OR = 1.41, 95% CI 1.25–1.59, P < 0.001). …”
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  15. 635

    Towards constructing a generalized structural 3D breathing human lung model based on experimental volumes, pressures, and strains. by Arif Badrou, Crystal A Mariano, Gustavo O Ramirez, Matthew Shankel, Nuno Rebelo, Mona Eskandari

    Published 2025-01-01
    “…Biophysical models offer the possibility to anticipate system behavior and provide insights into physiological functions, advancements which are comparatively and notably nascent when it comes to pulmonary mechanics research. In this context, an Inverse Finite Element Analysis (IFEA) pipeline is developed to construct the first continuously ventilated three-dimensional structurally representative pulmonary model informed by both organ- and tissue-level breathing experiments from a cadaveric human lung. …”
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    Article
  16. 636

    The effect of work-family conflict on staff nurses’ job performance: the mediating role of emotional intelligence by Nouf Afit Aldhafeeri, Ebtsam Aly Abou Hashish, Hanaa M. Abo Shereda

    Published 2025-05-01
    “…Three validated instruments: the Work-Family Conflict Scale, the Six-Dimension Scale of Nursing Performance, and the Wong and Law Emotional Intelligence Scale were utilized for data collection. Descriptive and inferential statistics and path analysis were used to analyze the data. …”
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    Article
  17. 637

    Association between the gut microbiota and diabetic nephropathy: a two-sample Mendelian randomization study by Wenjie Dong, Qiuyu Li, Lei Chen, Hui Tang, Kun Tu, Li Luo, Longyang Jiang, Yilan Huang

    Published 2024-12-01
    “…We aimed to explore any potential causal links between the GM composition and the risk of developing DN. A meta-analysis conducted by the MiBioGen consortium of the largest genome-wide association study (GWAS) provided aggregated data on the GM. …”
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    Article
  18. 638

    Tilting Pad Thrust Bearing Fault Diagnosis Based on Acoustic Emission Signal and Modified Multi-Feature Fusion Convolutional Neural Network by Meijiao Mao, Zhiwen Jiang, Zhifei Tan, Wenqiang Xiao, Guangchao Du

    Published 2025-02-01
    “…Learning was then conducted on the signal fused with multiple features using the inverse-add module and spanning convolution. Next, a comparative analysis was carried out among the CNN1D, ResNet, and DFCNN models, and the MMFCNN model proposed in this study. …”
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  19. 639

    Predictive reward-prediction errors of climbing fiber inputs integrate modular reinforcement learning with supervised learning. by Huu Hoang, Shinichiro Tsutsumi, Masanori Matsuzaki, Masanobu Kano, Keisuke Toyama, Kazuo Kitamura, Mitsuo Kawato

    Published 2025-03-01
    “…Through tensor component analysis of two-photon Ca2+ imaging data from more than 6,000 Purkinje cells, we found that climbing fiber inputs of the two distinct components, which were specifically activated during Go and No-go cues in the learning process, showed an inverse relationship with predictive reward-prediction errors. …”
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    Article
  20. 640