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  1. 221

    Identifying key genes in COPD risk via multiple population data integration and gene prioritization. by Afeefa Zainab, Hayato Anzawa, Kengo Kinoshita

    Published 2024-01-01
    “…It also highlights the possibility of identifying generalized and population-specific treatment and diagnostic options.…”
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    Article
  2. 222

    Presenting a Model for Developing Organizational Citizenship Behavior in Iraqi Secondary School Teachers by Maha Mohammed Abbas AL-KHATEEB, Kobra Emami Rizi, MUNA MOHAMMED ABBAS AL-KHATEEB, Narges Saeidian Khorasgani

    Published 2025-02-01
    “…For data analysis, the data-based method and Atlas ti8 software were used, and open, axial, and selective coding stages were used to identify and classify the main and sub-categories. …”
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    Article
  3. 223

    Validating adverse events in administrative healthcare data in ireland: a retrospective chart review study by Anna Connolly, Maria Unbeck, Fiachra Bane, Kasia Bail, Margaret Craig, Anne Matthews, Anthony Staines, Marcia Kirwan

    Published 2025-08-01
    “…Compared with chart review data, the overall sensitivity of the administrative data was low, and the specificity was high. The positive predictive values varied, and the negative predictive values were generally high. …”
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    Article
  4. 224

    Validation of Fuel-Coolant Interaction Model for Severe Accident Simulations by Vladimir Melikhov, Oleg Melikhov, Sergey Yakush, Nikita Rtishchev

    Published 2011-01-01
    “…The calculations were carried out by the combined SOCRAT/VAPEX code and were aimed at validation of the predictive capabilities of the code. …”
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  5. 225
  6. 226

    Spatial Correlates of Dementia and Disability After Intracerebral Hemorrhage by Yutong Chen, Cyprien A. Rivier, Samantha A. Mora, Victor Torres Lopez, Sam Payabvash, Kevin Sheth, Andreas Harloff, Guido J. Falcone, Jonathan Rosand, Ernst Mayerhofer, Christopher D. Anderson

    Published 2025-02-01
    “…These insights have the potential to enhance clinical prognostic models for patients with ICH, facilitating more precise predictions of outcomes based on hemorrhage location.…”
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    Article
  7. 227

    Investigating the differential microRNAs expression in young and aged Drosophila melanogaster following Flock House Virus infection by Amber Thibeaux, Max Yang Lu, Marshall Martin, Michael Rodwell, Victoria Faber, Lakbira Sheffield, Janna L. Fierst, Stanislava Chtarbanova

    Published 2025-12-01
    “…MicroRNAs (miRNAs) are small non-coding RNAs ~ 19–22 nt long that post-transcriptionally regulate their mRNA targets. …”
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  8. 228

    Optimization of bike-sharing repositioning operations: A reactive real-time approach by Enrique Jiménez-Meroño, Francesc Soriguera

    Published 2024-01-01
    “…The proposed method is conceptually simple, less dependent on demand predictions, easily implementable in any coding language and applicable to large systems at a low computational cost. …”
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    Article
  9. 229

    Data enhanced iterative few-sample learning algorithm-based inverse design of 2D programmable chiral metamaterials by Zhao Zeyu, You Jie, Zhang Jun, Du Shiyin, Tao Zilong, Tang Yuhua, Jiang Tian

    Published 2022-09-01
    “…Furthermore, the fast inverse design of multiple shaped metamaterials allows for different light manipulation, demonstrating excellent potentials in applications of optical coding and information processing. This work belongs to one of the first attempts to thoroughly characterize the flexibility, interpretability, and generalization ability of DEIFS algorithm in studying various chiroptical effects in metamaterials and accelerating the inverse design of hypersensitive photonic devices.…”
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  10. 230
  11. 231

    Falls prevention interventions for community-dwelling older adults: systematic review and meta-analysis of benefits, harms, and patient values and preferences by Jennifer Pillay, Lindsay A. Gaudet, Sabrina Saba, Ben Vandermeer, Ashiqur Rahman Ashiq, Aireen Wingert, Lisa Hartling

    Published 2024-11-01
    “…For intervention preferences, we used a coding schema identifying whether there were strong, clear, no, or variable preferences within, and then across, studies. …”
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    Article
  12. 232
  13. 233

    Influences of substrate and tissue type on erinacine production and biosynthetic gene expression in Hericium erinaceus by Elizabeth Doar, Kyle W. Meyer, Zolton J. Bair, Regan Nally, Steve McNalley, Renee Davis, Chase Beathard

    Published 2025-04-01
    “…Results In this study, we compared erinacine production in H. erinaceus fruit body to mycelial tissue cultivated in two liquid media formulations (Complex and Minimal) by quantifying mRNA transcript levels of the erinacine biosynthetic genes eriE, eriG, eriI, eriC, eriJ, eriB, and eriM (collectively, eri genes) alongside high performance liquid chromatography (HPLC) evaluation of erinacines Q, P, A, and C. We also predicted coding sequences for these seven eri genes. …”
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  14. 234

    ARRHYTHMIC PHENOTYPE OF NON-COMPACTION CARDIOMYOPATHY by S. M. Komissarova, N. N. Chakova, N. M. Rinejskaya, T. V. Dolmatovich, S. S. Niyazova

    Published 2021-05-01
    “…The mutations search in the coding sequences of 174 genes was performed in 30 unrelated patients with NCCM using next generation sequencing (NGS).Results. …”
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  15. 235

    Do women with a history of breast cancer recommend risk-based breast cancer screening? An in-depth interview study by Zi Lin Lim, Freda Giam, Renee Ying Xuan Wong, Jonathan Jun Kit Liow, Keri McCrickerd, Keri McCrickerd, Jingmei Li, Jingmei Li, Jingmei Li

    Published 2025-04-01
    “…Factors that could improve adherence included social influences promoting breast health awareness, reminders from trusted healthcare professionals (HCP), and confidence in affording screening and treatment. Participants were generally receptive to RBS and valued personalized recommendations, but concerns were raised about risk prediction accuracy, insurance implications, and potential negative reactions to risk results.ConclusionThis study identifies challenges and enablers for enhancing breast screening in Singapore, based on the experiences of breast cancer survivors. …”
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  16. 236

    Extreme Gradient Boosting Beats In-Silico Identification of Proteins Potentially Associated With Alzheimer’s by Sadia Khalil, Wajid Arshad Abbasi, Syed Ali Abbas, Maryum Bibi, Saiqa Andleeb, Amsa Shabir

    Published 2024-01-01
    “…However, costly and tedious experimental procedures can be performed efficiently by targeting the most probable proteins involved in Alzheimer’s predicted and ranked through a computational method with better generalization accuracy. …”
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  17. 237

    Identification of serum tRNA-derived small RNAs biosignature for diagnosis of tuberculosis by Zikun Huang, Qing Luo, Cuifen Xiong, Haiyan Zhu, Chao Yu, Jianqing Xu, Yiping Peng, Junming Li, Aiping Le

    Published 2025-12-01
    “…The tRNA-derived small RNAs (tsRNAs) are a new class of non coding RNAs, which are stable in body fluids and can be used as potential biomarkers for disease diagnosis. …”
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  18. 238

    Development of a clinical decision support tool for Primary care Management of lower Urinary tract Symptoms in men: the PriMUS study by Adrian Edwards, Ridhi Agarwal, Janine Bates, Alison Bray, Sarah Milosevic, Emma Thomas-Jones, Michael Drinnan, Marcus Drake, Peter Michell, Bethan Pell, Haroon Ahmed, Natalie Joseph-Williams, Kerenza Hood, Yemisi Takwoingi, Chris Harding

    Published 2025-01-01
    “…Background Lower urinary tract symptoms particularly affect older men and their quality of life. General practitioners currently have no easily available assessment tools to diagnose lower urinary tract symptom causes. …”
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  19. 239

    Non-ideal MHD analysis of pedestal scans of AUG and JET by F. Stefanelli, M.G. Dunne, J. Puchmayr, H. Zohm

    Published 2025-01-01
    “…The extended MHD code CASTOR3D is used to perform the MHD stability analysis of predictive pedestal scans of standard ASDEX Upgrade and JET-ILW scenarios. …”
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  20. 240

    Use of Artificial Intelligence in the Digital Economy by N. A. Olimov

    Published 2025-05-01
    “…Here is an example of simple code for market analysis using linear regression. …”
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