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  • Authors: Alam, Saruar;  Advisor: -;  Participants: Sayem, Mohammad; Bello, Martiniano; Mou, Sadia Islam; Faruqui, Nairita Ahsan; Hossain, Faruk; Hasan, Md. Kamrul (2022)

  • The polymorphism data are available in several databases. NCBI dbSNP houses extensive data for different genes, and NCBI has the largest database that helps analyze single nucleotide polymorphisms. 581 SNPs have been found for cellular tumor antigen p53 (NCBI Reference Sequence: NP_000537.3). Among them, 420 SNPs were found to be missense or non-synonymous. Among 581, there were 435 SNPs in 3′UTR and 112 in 5′UTR regions. Only the missense, 3′ (3 prime), and 5′ (5 prime) UTR SNPs have been selected for further analysis.

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  • Authors: Shaheen, Nazma;  Advisor: -;  Participants: Azam, Afiatul; Ganguly, Amlan; Anwar, Saeed; Parvez, Md. Sorwer Alam; Punyamurtula, Ujwal; Hasan, Md. Kamrul (2022)

  • Black cumin (Nigella sativa) is a widely used ingredient of traditional medicine for its broad-spectrum pharmacological actions, including analgesic, bronchial asthma, anti-inflammatory properties, and others. We sought to evaluate BC extracts' efficacy for the anti-inflammatory and analgesic properties using a comprehensive in vivo and in silico experimental setup. To investigate whether BC extract has anti-inflammatory and analgesic therapeutic potentials in vivo anti-inflammatory activity by carrageenan-induced rat paw edema, analgesic activity by acetic acid-induced writhing test and ingenuity analysis of the BC extracts in inflammation control.

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  • Authors: Kabir, Humayun;  Advisor: -;  Participants: Chowdhury, Md. Abul Hasnat; Tonmon, Tajrin Tahrin; Hasan, Md. Kamrul; Biswas, Lila; Islam, Muhammad Didarul; Rahman, Mamunur; Mitra, Dipak Kumar (2022)

  • The COVID-19 pandemic jeopardized the traditional academic learning calendars due to the closing of all educational institutions across the globe. To keep up with the flow of learning, most of the educational institutions shifted toward e-learning. However, the students’ e-learning preference and e-learning readiness did not identify, particularly among the Bangladeshi female nursing students, where those can pose serious challenges. A cross-sectional study was carried out among the female nursing students between December 26, 2020, and January 11, 2021. A total of 237 students were recruited who have enrolled in e-learning at least the last 30 days of the participation. Multivariable linear regression models were fitted to find the association of students’ preference, e-learning re...

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