Hasil Pencarian - Md. Imran Hasan

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  1. 1
    Impact of Mode-Area Dispersion on Nonlinear Pulse Propagation in Gas-Filled Anti-Resonant Hollow-Core Fiber

    Impact of Mode-Area Dispersion on Nonlinear Pulse Propagation in Gas-Filled Anti-Resonant Hollow-Core Fiber oleh Ying Wan, Md Imran Hasan, Wonkeun Chang

    Diterbitkan 2022-01-01
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  2. 2
    Simultaneous removal of malachite green and lead from water by consortium dry-biomasses of Bacillus licheniformis AG3 and Bacillus cereus M1 16

    Simultaneous removal of malachite green and lead from water by consortium dry-biomasses of Bacillus licheniformis AG3 and Bacillus cereus M1 16 oleh Md. Imran Hasan, Surajit Bag, Dipankar Halder, Sutapa Bhowmik, Anindita Chakraborty, Alok Ghosh

    Diterbitkan 2024-08-01
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  3. 3
    Iceberg of workplace violence in health sector of Bangladesh

    Iceberg of workplace violence in health sector of Bangladesh oleh Md Imran Hasan, Md Zakiul Hassan, Md Mofijul Islam Bulbul, Taufique Joarder, Mohammod Jobayer Chisti

    Diterbitkan 2018-10-01
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  4. 4
    Identifying molecular signatures and pathways shared between Alzheimer's and Huntington's disorders: A bioinformatics and systems biology approach

    Identifying molecular signatures and pathways shared between Alzheimer's and Huntington's disorders: A bioinformatics and systems biology approach oleh Nosin Ibna Mahbub, Md. Imran Hasan, Md Habibur Rahman, Feroza Naznin, Md Zahidul Islam, Mohammad Ali Moni

    Diterbitkan 2022-01-01
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  5. 5
    Systems Biology and Bioinformatics approach to Identify blood based signatures molecules and drug targets of patient with COVID-19

    Systems Biology and Bioinformatics approach to Identify blood based signatures molecules and drug targets of patient with COVID-19 oleh Md. Imran Hasan, Md Habibur Rahman, M. Babul Islam, Md Zahidul Islam, Md Arju Hossain, Mohammad Ali Moni

    Diterbitkan 2022-01-01
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  6. 6
    Bioinformatics and In silico approaches to identify novel biomarkers and key pathways for cancers that are linked to the progression of female infertility: A comprehensive approach for drug discovery.

    Bioinformatics and In silico approaches to identify novel biomarkers and key pathways for cancers that are linked to the progression of female infertility: A comprehensive approach... oleh Md Arju Hossain, Md Sohel, Md Habibur Rahman, Md Imran Hasan, Md Sharif Khan, Md Al Amin, Md Zahidul Islam, Silong Peng

    Diterbitkan 2023-01-01
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  7. 7
    Study of kaempferol in the treatment of COVID-19 combined with Chikungunya co-infection by network pharmacology and molecular docking technology

    Study of kaempferol in the treatment of COVID-19 combined with Chikungunya co-infection by network pharmacology and molecular docking technology oleh Md Arju Hossain, Md Sohel, Tayeba Sultana, Md Imran Hasan, Md Sharif Khan, K.M. Kaderi Kibria, S.M. Hasan Mahmud, Md Habibur Rahman

    Diterbitkan 2023-01-01
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  8. 8
    Bioinformatics and system biology approaches to identify molecular pathogenesis of polycystic ovarian syndrome, type 2 diabetes, obesity, and cardiovascular disease that are linked to the progression of female infertility

    Bioinformatics and system biology approaches to identify molecular pathogenesis of polycystic ovarian syndrome, type 2 diabetes, obesity, and cardiovascular disease that are linked... oleh Md Arju Hossain, Md Al Amin, Md Imran Hasan, Md Sohel, Md Akash Ahammed, S.M. Hasan Mahmud, Md Rezanur Rahman, Md Habibur Rahman

    Diterbitkan 2022-01-01
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  9. 9
    Molecular docking and pharmacology study to explore bio-active compounds and underlying mechanisms of Caesalpinia bonducella on polycystic ovarian syndrome

    Molecular docking and pharmacology study to explore bio-active compounds and underlying mechanisms of Caesalpinia bonducella on polycystic ovarian syndrome oleh Md Arju Hossain, Ashik Sharfaraz, Md Imran Hasan, Pratul Dipta Somadder, Md Akramul Haque, Md Rifat Sarker, Md Monjurul Alam, Ali Mohamod Wasaf Hasan, Md Sohel, Md Habibur Rahman

    Diterbitkan 2022-01-01
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  10. 10
    Differential gene expression profiling reveals potential biomarkers and pharmacological compounds against SARS-CoV-2: Insights from machine learning and bioinformatics approaches

    Differential gene expression profiling reveals potential biomarkers and pharmacological compounds against SARS-CoV-2: Insights from machine learning and bioinformatics approaches oleh M. Nazmul Hoque, Md. Murshed Hasan Sarkar, Md. Arif Khan, Md. Arif Khan, Md. Arju Hossain, Md. Imran Hasan, Md. Habibur Rahman, Md. Ahashan Habib, Shahina Akter, Tanjina Akhtar Banu, Barna Goswami, Iffat Jahan, Tasnim Nafisa, Md. Maruf Ahmed Molla, Mahmoud E. Soliman, Yusha Araf, Yusha Araf, M. Salim Khan, Chunfu Zheng, Chunfu Zheng, Tofazzal Islam

    Diterbitkan 2022-08-01
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