Showing 15,821 - 15,840 results of 15,919 for search '"employment"', query time: 0.11s Refine Results
  1. 15821

    NEK4: prediction of available drug targets and common genetic linkages in bipolar disorder and major depressive disorder by Bin Gong, Chenxu Xiao, Yu Feng, Yu Feng, Jing Shen

    Published 2025-01-01
    “…This will provide clues to potential drug targets.MethodsThis study employed genome-wide association studies (GWAS) and summary-data-based Mendelian randomization (SMR) methods to investigate the genetic underpinnings of patients with bipolar disorder (BD) and major depressive disorder (MDD) and to predict potential drug target genes. …”
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  2. 15822

    Fhl1, a new spatially specific protein, regulates vein graft neointimal hyperplasia by Chaoqun Wang, Jiantao Chen, Zicong Feng, Bohao Jian, Suiqing Huang, Kangni Feng, Haoliang Liu, Zhuoming Zhou, Ziyin Ye, Jing Lu, Mengya Liang, Zhongkai Wu

    Published 2024-12-01
    “…Abstract Background Vein grafts are commonly employed in revascularisation surgery for multivessel coronary artery disease, yet neointimal hyperplasia (NIH) remains a critical impediment to the long‐term patency of these grafts. …”
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  3. 15823

    ELABELA promotes the migration and homing of bone marrow mesenchymal stem cells to myocardial injury sites through the ERK1/2/miR-299a-5p/Exo70 pathway by Jing-Yu Hou, Hao Wu, Shuang-Mei Li, Xiao-Jing Li, Shu-Jun Yang, Xu-Xiang Chen, Chang-Qing Zhou, Hui-Bao Long, Hai-Dong Wu, Jia-Ying Fu, Ya-Jie Guo, Tong Wang

    Published 2025-02-01
    “…Transcriptome sequencing and bioinformatics analysis were employed to identify and validate the mechanisms by which ELA promoted the migration of BMSCs. …”
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  4. 15824

    Modeling Portfolio Optimization based on behavioral Preferences and Investor’s Memory by vahideh mousavi kakhki, Sanaz Khatabi

    Published 2024-03-01
    “…The second criterion pertains to behavioral preferences, which involves integrating investor risk aversion, overconfidence, and herding behavior into the model. We employ a Genetic Algorithm (GA) to optimize portfolios under both criteria. …”
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  5. 15825

    Development and Validation of a Cost-Effective Machine Learning Model for Screening Potential Rheumatoid Arthritis in Primary Healthcare Clinics by Wu W, Hu X, Yan L, Li Z, Li B, Chen X, Lin Z, Zeng H, Li C, Mo Y, Wu Y, Wang Q

    Published 2025-02-01
    “…Evaluation metrics determined the best model. Employing multivariatelogistic regression results and the best-performing model to identify the least costly features, ensuring applicability in primary healthcare clinics. …”
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  6. 15826

    Borrelia burgdorferi radiosensitivity and Mn antioxidant content: antigenic preservation and pathobiology by Andrés F. Londoño, Ajay Sharma, Jared Sealy, Vipin S. Rana, Shelby D. Foor, Vera Y. Matrosova, Elena K. Gaidamakova, Robert P. Volpe, Michael J. Daly, Brian M. Hoffman, Utpal Pal, J. Stephen Dumler

    Published 2025-02-01
    “…These observations also provide an opportunity for innovative vaccine development strategies employing ionizing radiation to disrupt the B. burgdorferi genome, while maintaining antigenic potency. …”
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  7. 15827

    Three different methods for ZnO-RGO nanocomposite synthesis and its adsorption capacity for methylene blue dye removal in a comparative study by Safaa A. Hussein, Gharib M. Taha, F. A. Adam, Marwa A. Moghazy

    Published 2025-01-01
    “…This study presents a comparative investigation of ZnO-RGO nanocomposite synthesis employing both green and chemical methods. Three distinct approaches were utilized to prepare the ZnO-RGO nanocomposite: (1) the innovative Leidenfrost green method for composite A1, (2) a chemical precipitation method for composite A2, and (3) a physical mixing sonication method for composite A3. …”
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  8. 15828

    Characterization of RAP Signal Patterns, Temporal Relationships, and Artifact Profiles Derived from Intracranial Pressure Sensors in Acute Traumatic Neural Injury by Abrar Islam, Amanjyot Singh Sainbhi, Kevin Y. Stein, Nuray Vakitbilir, Alwyn Gomez, Noah Silvaggio, Tobias Bergmann, Mansoor Hayat, Logan Froese, Frederick A. Zeiler

    Published 2025-01-01
    “…The autoregressive integrated moving average (ARIMA) model was employed to outline the time-series structure of RAP across different temporal resolutions using the autoregressive (<i>p</i>-order) and moving average orders (<i>q</i>-order). …”
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  9. 15829

    Hospital and physician-based mental healthcare during 12 months of opioid agonist treatment for opioid use disorder: Exploring costs and factors associated with acute care. by Tea Rosic, Glenda Babe, Myanca Rodrigues, Brittany B Dennis, Richard Perez, Claire de Oliveira, Andrew Worster, Lehana Thabane, Zainab Samaan

    Published 2025-01-01
    “…Lower odds of ED use and hospitalization were associated with older age (46+ compared to less than 25 years: odds ratio [OR] 0.43, 95% confidence interval [CI]: 0.29, 0.63) and being employed (OR 0.48, 95% CI 0.37, 0.61). Higher odds of ED use and hospitalization was associated with positive opioid urine drug screens (50% positive urine drug screens compared to 0%: OR 1.45, 95% CI 1.05, 2.01), having more comorbid conditions (7+ health conditions compared to 0-2 health conditions: OR 3.76, 95% CI 2.60, 5.44), and receipt of outpatient mental healthcare (OR 2.38, 95% CI 1.95, 2.92) were associated with higher odds of ED visits or hospitalizations. …”
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  10. 15830

    hBMSC-EVs alleviate weightlessness-induced skeletal muscle atrophy by suppressing oxidative stress and inflammation by Mengyuan Chang, Ruiqi Liu, Bingqian Chen, Jin Xu, Wei Wang, Yanan Ji, Zihui Gao, Boya Liu, Xinlei Yao, Hualin Sun, Feng Xu, Yuntian Shen

    Published 2025-02-01
    “…Immunostaining, transmission electron microscopy observation, and western blot analysis were employed to assess the impact of hBMSC-EVs on muscle fiber types, ROS levels, inflammation, ubiquitin–proteasome system activity, and autophagy lysosome pathway activation in skeletal muscle atrophy. …”
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  11. 15831

    Synthesis of silver Nanoparticles@Carbon Dot nanocomposites using Aegle marmelos and Euphorbia hirta: Anti vibriocidal and antioxidant properties by Gali Raman, Sirangu Joseph, D Ramachandran, Phanindra Babu Kasi, Abhinash Marukurti, Alavala Matta Reddy, P Vijaya Nirmala, V S Manikanta, R. Lohitha Kavya, K Sarojani, Anitha Kadimi, Silpa Rani Medapalli, S B Sonia Shankar, G Dinesh Ratna, K Gayathri, P Tirupathi Rao

    Published 2025-01-01
    “…In the present study, an eco-friendly hydrothermal technique was employed to synthesize high fluorescent, Biomass derived carbon dots (CDs) from the leaves of two medicinal plants, Aegle marmelos (AM) and Euphorbia hitra (EH). …”
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  12. 15832

    Steady-state mixing state of black carbon aerosols from a particle-resolved model by Z. Zhang, Z. Zhang, J. Wang, J. Wang, J. Wang, J. Wang, N. Riemer, C. Liu, C. Liu, Y. Jin, Y. Jin, Z. Tian, Z. Tian, J. Cai, J. Cai, Y. Cheng, Y. Cheng, G. Chen, G. Chen, B. Wang, B. Wang, S. Wang, A. Ding, A. Ding

    Published 2025-02-01
    “…However, due to computational constraints, the mixing state is challenging to accurately represent in large-scale models. In this study, we employ a particle-resolved model to simulate the evolution of BC mixing state based on field observation. …”
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  13. 15833

    Response of high-yielding soybean varieties to water-saturated and drought stress by Purwantoro ., R.D. Purwaningrahayu, H. Kuntyastuti, A. Harsono, N. Nuryati, A. Sulistyo, Z. Yursak, R. Soehendi, Trustinah ., H. Kuswantoro, M.J. Mejaya, D. Harnowo

    Published 2024-10-01
    “…A factorial randomized block design was employed, utilizing pots as the experimental units, with three replicates. …”
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  14. 15834

    Estimation of mangrove carbon stocks using unmanned aerial vehicle over coastal vegetation by S.H. Larekeng, M. Nursaputra, M.F. Mappiasse, S. Ishak, M. Basyuni, E. Sumarga, V.B. Arifanti, A.A. Aznawi, Y.I. Rahmila, M. Yulianti, R. Rahmania, A. Mubaraq, S.G. Salmo III, H. Ali, I. Yenny

    Published 2024-07-01
    “…Specifically, this study aims to assess the carbon absorption potential of the Lantebung mangrove ecosystem through field surveys, allometric calculations, and unmanned aerial vehicle imagery.METHODS: The methodology employed in this study consisted of field surveys, allometric calculations, and multispectral aerial imagery processing along the coastal of Makassar City, South Sulawesi, within the Lantebung mangrove ecosystem. …”
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  15. 15835

    Assessment of platelet-to-white blood cell ratio on short-term mortality events in patients hospitalized with acute decompensated heart failure: evidence from a cohort study from J... by Xin Huang, Xin Huang, Xin Huang, Xin Huang, Maobin Kuang, Maobin Kuang, Maobin Kuang, Maobin Kuang, Jiajun Qiu, Jiajun Qiu, Jiajun Qiu, Jiajun Qiu, Chao Wang, Chao Wang, Chao Wang, Chao Wang, Guotai Sheng, Guotai Sheng, Yang Zou, Guobo Xie

    Published 2025-02-01
    “…Multivariable Cox proportional hazards regression, restricted cubic spline regression, and receiver operating characteristic curve analysis were employed to explore the association between the inflammatory marker PWR and all-cause mortality in ADHF patients within 30 days of hospitalization.ResultsDuring the 30-day observation period, a total of 53 subjects experienced mortality events. …”
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  16. 15836

    Evaluation of microRNAs as liquid biopsy markers in adrenocortical tumors by Chrysoula Mytareli, Vassiliki Kalotychou, Alexandros Lafioniatis, Gregory Kaltsas, George N. Zografos, Athina Markou, Labrini Papanastasiou, Athanasios Fountas, Dimitra Argyro Vasilliadi, Evanthia Kassi, Evanthia Kassi, Marina Mantzourani, Anna Angelousi

    Published 2025-01-01
    “…Quantitative real-time polymerase chain reaction was employed to analyze microRNA expression.ResultsCirculating levels of miR-483-5p and miR-210 were significantly elevated in patients with active ACC compared to both ACAs (p&lt;0.001 and p=0.004, respectively) and controls (p=0.02 and p = 0.03, respectively). …”
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  17. 15837
  18. 15838

    Genetic evidence for the causal effects of air pollution on the risk of respiratory diseases by Yanjuan Wu, Yuting Zhang, Jingcun Wang, Qiming Gan, Xiaofen Su, Sun Zhang, Yutong Ding, Xinyan Yang, Nuofu Zhang, Kang Wu

    Published 2025-01-01
    “…Sensitivity analyses, including MR-Egger regression and leave-one-out analyses, were employed to ensure result consistency. Multivariate MR (MVMR) was performed to adjust for potential smoking-related confounders, such as cigarettes per day, household smoking, exposure to tobacco smoke at home, ever smoked, second-hand smoke, smoking initiation, and age at smoking initiation, as well as the independent effects of each air pollutant. …”
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  19. 15839

    Iodine activates NLRP3 inflammasomes in PBMCs of patients with autoimmune thyroiditis and regulates Th1 and Th17 cell differentiation by Ying Wu, Qingling Guo, Yongping Liu, Xun Gong, Wei Sun, Yushu Li, Chenling Fan, Weiping Teng, Zhongyan Shan

    Published 2025-01-01
    “…Enzyme-linked immunosorbent assays (ELISAs) assessed the serum levels of IL-1β and IL-18. Flow cytometry was employed to examine NLRP3 expression on CD14+ monocytes and Th1 and Th17 cell percentages in the groups. …”
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  20. 15840

    Prediction model for type 2 diabetes mellitus and its association with mortality using machine learning in three independent cohorts from South Korea, Japan, and the UK: a model de... by Hayeon Lee, Seung Ha Hwang, Seoyoung Park, Yunjeong Choi, Sooji Lee, Jaeyu Park, Yejun Son, Hyeon Jin Kim, Soeun Kim, Jiyeon Oh, Lee Smith, Damiano Pizzol, Sang Youl Rhee, Hyunji Sang, Jinseok Lee, Dong Keon Yon

    Published 2025-02-01
    “…The Korean cohort (NHIS-NSC cohort; discovery cohort; n = 973,303), conducted between 1 January, 2002 and 31 December, 2013, was used for training and internal validation, whereas the Japanese cohort (JMDC cohort; validation cohort A; n = 12,143,715) and UK cohort (UK Biobank; validation cohort B; n = 416,656) were used for external validation. We employed various machine learning (ML)-based models, using 18 features, to predict the incidence of T2DM within five years of regular health checkups and calculated the Shapley Additive Explanation (SHAP) values. …”
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