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7. Neuroanatomy

Author

Akter, Farhana, primary, Reilly, Charles, additional, Dupre, Christophe, additional, and Hossain, Shifa, additional

Published
2024
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9. Status of lipid control in Bangladeshi subjects with type 2 diabetes mellitus on lipid-lowering drugs: a multicenter, facility-based, cross-sectional study

Author

Selim, Shahjada, Alam, Muhammad Shah, Talukder, Samir Kumar, Kabir, Md Lutful, Gaffar, Abu Jar, Kabir, Md Ahamedul, Zarin, Nusrat, Rahman, Shahin Ibn, Nabi, Md Masud Un, Mustari, Marufa, Hossain, Md Firoj, Raunak, Ahmed Ifrad Bin, Hoque, Md Azizul, Islam, Md Rashedul, Akter, Farhana, Hannan, Mohammad Abdul, Saifuddin, Mohammad, Asaduzzaman, Md, Rahman, Mohammad Motiur, Ahammed, Afsar, Rafi, Md Abdur, Hasan, Mohammad Jahid, and Kamrul-Hasan, A. B. M.

Published
2023
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10. Comparison of fasting and random lipid profiles among subjects with type 2 diabetes mellitus: an outpatient-based cross-sectional study in Bangladesh

Author

Kamrul-Hasan, A. B. M., Talukder, Samir Kumar, Kabir, Md Ahamedul, Mustari, Marufa, Un Nabi, Md Masud, Gaffar, Abu Jar, Hossain, Md Firoj, Alam, Muhammad Shah, Islam, Md Rashedul, Hannan, Mohammad Abdul, Zarin, Nusrat, Paul, Ajit Kumar, Akter, Farhana, Ahammed, Afsar, Kabir, Md Lutful, Rahman, Mohammad Motiur, Asaduzzaman, Md, Saifuddin, Mohammad, Chanda, Palash Kumar, Rafi, Md Abdur, Hasan, Mohammad Jahid, and Selim, Shahjada

Published
2023
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15. Nanopore sequencing for identification and characterization of antimicrobial-resistant Escherichia coli and Salmonella spp. from tilapia and shrimp sold at wet markets in Dhaka, Bangladesh

Author

Rheman, Shafiq, primary, Hossain, Sabrina, additional, Sarker, Md Samun, additional, Akter, Farhana, additional, Khor, Laura, additional, Gan, Han Ming, additional, Powell, Andy, additional, Card, Roderick M., additional, Hounmanou, Yaovi Mahuton Gildas, additional, Dalsgaard, Anders, additional, Mohan, Chadag Vishnumurthy, additional, Bupasha, Zamila Bueaza, additional, Samad, Mohammed A., additional, Verner-Jeffreys, David W., additional, and Delamare-Deboutteville, Jérôme, additional

Published
2024
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17. Industry Rotation Phenomenon Under the Back of Information

Author

Su, Min, Li, Qianqian, Akter, Farhana, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Yang, Chao-Tung, editor, Pei, Yan, editor, and Chang, Jia-Wei, editor

Published
2020
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27. PRIM2: A Marker of MYC-driven Hyper-proliferation, Disease Progression, Tumor Aggressiveness and Poor Survival in Glioma Patients.

Author

RONGHUI SUN, XIAODONG SHAO, AKTER, FARHANA, ZAHID, KASHIF RAFIQ, SHUN YAO, LIANTING MA, and GUOZHENG XU

Abstract

Background/Aim: Gliomas are the most prevalent brain tumors with metabolic alterations playing a pivotal role in disease progression. However, the precise coordination of metabolic alterations with tumor-promoting cellular mechanisms, leading to tumor initiation, progression, and aggressiveness, resulting in poor outcomes, remains poorly understood in gliomas. Materials and Methods: We conducted a metabolism-targeted differential gene expression analysis using glioma patients' expression profiling data from The Cancer Genome Atlas (TCGA) database. In addition, pathway enrichment analysis, gene set enrichment analysis (GSEA), transcription factor prediction, network construction, and correlation analyses were performed. Survival analyses were performed in R. All results were validated using independent GEO expression datasets. Results: Metabolism-targeted analysis identified 5 hits involved in diverse metabolic processes linking them to disease aggressiveness in gliomas. Subsequently, we established that cell cycle progression and hyper-proliferation are key drivers of tumor progression and aggressiveness in gliomas. One of the identified metabolic hits, DNA primase 2 (PRIM2), a gene involved in DNA replication was found directly associated with cell cycle progression in gliomas. Furthermore, our analysis indicated that PRIM2, along with other cell cycle-related genes, is under the control of and regulated by the oncogenic MYC transcription factor in gliomas. In addition, PRIM2 expression alone is enough to predict MYC-driven cell cycle progression and is associated with tumor progression, aggressive disease state, and poor survival in glioma patients. Conclusion: Our findings highlight PRIM2 as a marker of MYC-driven cell cycle progression and hyper-proliferation, disease onset and progression, tumor aggressiveness, and poor survival in glioma patients. [ABSTRACT FROM AUTHOR]

Published
2024
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34. A numerical study of water based nanofluids in shell and tube heat exchanger.

Author

Gugulothu, Ravi, Sanke, Narsimhulu, Somanchi, Naga Sarada, Normalla, Vikas, Akter, Farhana, and Sunil, Banoth Dhola Ykuntam

Subjects
HEAT exchangers, NANOFLUIDS, NUSSELT number, COPPER, HEAT transfer, SOLAR collectors, TUBES
Abstract

This numerical investigation is made to estimate the effect of Al2O3 and Cu nanofluids on heat transfer rate, friction factor and thermal performance factor of a shell and tube heat exchanger. Mass flow rates of shell side (water) fluid are varied. Water based nanofluids are used inside the tubes with 0.01, 0.03, and 0.05% volume concentrations of Al2O3 and Cu nanofluids. Nusselt number obtained from the present investigation is compared with Dittus–Bolter equation and Pongjet Pomvonge et al. and found to be in good agreement with a maximum deviation of 3%. The Nusselt number of the dispersed nanofluids increased with the increase of nanofluids volume concentrations and shell side mass flow rate. In this study, maximum enhancement in Nusselt number is 7.50%, 8.65%, and 9.61% for Al2O3, and 1.46%, 2.23%, and 3.18% for Cu nanofluid respectively at 0.01, 0.03, and 0.05% volume concentrations were compared to base fluid as water. Friction factor is highest by 58.00% at 0.05% volume concentration of Cu/H2O nanofluid when relate to Al2O3/H2O nanofluid. Thermal Enhancement factor achieved is highest for Al2O3/H2O nanofluid. [ABSTRACT FROM AUTHOR]

Published
2023
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36. SARS‐CoV‐2 infection alters the gut microbiome in diabetes patients: A cross‐sectional study from Bangladesh

Author

Mannan, Adnan, primary, Hoque, M. Nazmul, additional, Noyon, Sajjad Hossain, additional, Hamidullah Mehedi, H. M., additional, Foisal, Javed, additional, Salauddin, Asma, additional, Rafiqul Islam, S.M., additional, Sharmen, Farjana, additional, Tanni, Afroza Akter, additional, Siddiki, AMAM Zonaed, additional, Tay, Alfred, additional, Siddique, Moradul, additional, Shaminur Rahman, M., additional, Galib, Syed Md., additional, and Akter, Farhana, additional

Published
2023
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37. Sexual dysfunction in women with type 2 diabetes mellitus: A single-centre cross-sectional study from Bangladesh

Author

Kamrul-Hasan, A. B. M., primary, Alam, Muhammad Shah, additional, Zarin, Nusrat, additional, Aalpona, Fatema Tuz Zahura, additional, Mustari, Marufa, additional, Akter, Farhana, additional, Jannat, Nadia, additional, Azad, Umme, additional, Chanda, Palash Kumar, additional, Rafi, Abdur, additional, Hasan, Mohammad Jahid, additional, and Selim, Shahjada, additional

Published
2023
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39. The impact of the covid-19 pandemic on the education of medical, dental and non-medical healthcare professionals in Bangladesh: Findings and connotation

Author

Godman, Brian, primary, Haque, Mainul, primary, Lutfor, AfzalunnessaBinte, additional, Jahan, Fauzia, additional, Siddiqui, TosaddequeHossain, additional, Chowdhury, Kona, additional, Ahmad, Rahnuma, additional, Nusrat, Nadia, additional, Akter, Farhana, additional, Adnan, Nihad, additional, Islam, Salequl, additional, Kumar, Santosh, additional, Sharma, Paras, additional, Lugova, Halyna, additional, Etando, Ayukafangha, additional, Sultana, Irin, additional, Sarkar, Sajuti, additional, Begum, Firoza, additional, Chowdhury, ChandSultana, additional, Mou, TaslinJahan, additional, Nahar, Shamsun, additional, Zaman, Taslima, additional, Sharmin, Sabrina, additional, Muhammad Mashrur, AbuRushd, additional, Kabir, Rumana, additional, Biswas, NirmalKanti, additional, Halder, Kakali, additional, Basu, KamaleshChandra, additional, Ferdousy, Sybilla, additional, Hassan, Mahmuda, additional, Lutful Kabir, ARM, additional, Begum, Mahamuda, additional, Khan, Naurin, additional, Andalib, Sofia, additional, Munwar, Shaila, additional, Alim, Rumana, additional, Khan, SamiaAfreen, additional, Noor, NeelimaSharmin, additional, Rahaman, MdArifur, additional, Kabir, FuadReajwan, additional, Yesmin, Farida, additional, Bashar, MohammadAbul, additional, Islam, MohammadAtaul, additional, Taher, Tania, additional, Ahmed, TarafderShahniam, additional, Khan, JahangirAlam, additional, Ahammed, Ferdaus, additional, Chowdhury, Shajia, additional, Akhtar, Gulshan, additional, and Sinha, Susmita, additional

Published
2023
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42. Recursive estimation of states and parameters in oil reservoir

Author

Akter, Farhana

Abstract

A reservoir model is built with the initial guesses of reservoir parameters, which has high degree of uncertainty that may make the prediction unreliable. Appropriate assessment of the reservoir parameters’ uncertainty provides dependability on the reservoir model. Among several reservoir parameters, porosity and permeability are the two key parameters that affect reserves estimation, field development, future prediction, and development of alternative oil recovery scenarios. In this regard, an extensive study is required on reservoir model to estimate dynamic states and static parameters correctly along with uncertainty assessment. However, due to the presence of large number of variables in the geophysical model, nonlinearity in the multiphase fluid flow equations and assumptions toward linearization make the reservoir model more uncertain and non-unique. Therefore, correct estimation of the unknown or poorly known states and parameters becomes very difficult. In this regard, application of ensemble Kalman filter provides realistic solution as this tool is able to deal with large scale nonlinear system. In this approach, a set of reservoir models/realizations are generated considering the reference reservoir data and data assimilation is done for all the realizations incorporating available observations. After data assimilation, a range of forecasts are generated from the updated realizations on which the uncertainty in the reservoir performance predictions is evaluated. In this work, some key phenomena such as excitation in the reservoir due to production through injection, dynamic error in the reservoir model, non-Gaussianity effect in the water flooding case in heterogeneous reservoir, and dynamic change of parameters in asphaltic oil reservoir are investigated while estimating reservoir parameters. Investigation is conducted considering different production scenarios in reservoirs. To improve parameter estimation under these varying conditions, modifications are introduced into the traditional EnKF methodology to address these key factors. Dynamic model error has been mostly ignored for the cases of multiphase flow in porous media for estimating parameters. Therefore, a dynamic model error along with measurement error is added in water flooding oil reservoir model. Also to capture the change happened in the reservoir due to water injection, artificial perturbation of inputs is introduced in EnKF methodology. With these modifications, about 9% improvement in history matching is observed when mismatch between model and true system, and uncertainty in measurement are high. Next, the aspect of non-Gaussianity in state and parameter estimation is investigated in five spot oil-water reservoir by applying EnKF along with particle filter (PF). From the analysis, it is found that the performance of EnKF is comparable with PF where the non-Gaussianity is weak. However, in the presence of strong non-Gaussianity, EnKF shows four times higher error than PF. Also, the performance of particle filter is improved by incorporating “ensemble covariance” during resampling stage. This research work includes the analysis of formation damage due to asphaltene precipitation/deposition and its impact on reservoir properties such as permeability and porosity. In this work, a modification is introduced in the pure solid model regarding explicit estimation of the asphaltene precipitation, resulting in a reduced computation time. To calculate the amount of asphaltene precipitation, the modification brings the iteration steps from five to one with a difference of 9.945% between the pure solid model and modified solid model. In addition, the simulation of wellbore region of production well in a two-dimensional oil reservoir is conducted considering four-phase black oil model. The simulation results reveal that around the wellbore, the suspended asphaltene saturation reaches to its maximum value at the bubble point pressure; the maximum reduction in permeability (8%) and porosity (9.1%) occurs around the wellbore. Finally, EnKF is applied to an asphaltic oil reservoir for estimation of reservoir parameters considering their inherent uncertainty and dynamic change due to asphaltene precipitation. Due to continued production, dynamic state change from ‘pressure to saturation’ of gas and asphaltene phase happens. To capture this state change, a methodology is developed while applying EnKF. History matching is done by matching the results of bottomhole flowing pressure, fluid flow rate, suspended asphaltene saturation, gas saturation obtained from the filter and model. It is found that porosity and permeability are estimated with less than 2% error.

Published
2023
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47. The Impact of COVID-19 on The Teaching of Non-Medical Healthcare Professionals in Bangladesh: Observations and Implications From A Pilot Study

Author

Adnan, Nihad, primary, Haque, Mainul, additional, Mou, Taslin Jahan, additional, Islam, Salequl, additional, Nahar, Shamsun, additional, Chowdhury, Kona, additional, Zaman, Taslima, additional, Akter, Farhana, additional, Sharmin, Sabrina, additional, Nusrat, Nadia, additional, Kabir, Rumana, additional, Biswas, Nirmal Kanti, additional, Kumar, Santosh, additional, Sharma, Paras, additional, Lutfor, Afzalunnessa Binte, additional, Siddiqui, Tosaddeque Hossain, additional, Etando, Ayukafangha, additional, Ahmad, Rahnuma, additional, Abdullah, Adnan, additional, and Godman, Brian, additional

Published
2022
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48. Intestinal Parasitic Infections Among Pediatric Patients in a Metropolitan City of Bangladesh With Emphasis on Cryptosporidiosis

Author

Nipa, Nusrat Jahan, primary, Aktar, Nasima, additional, Hira, Hasina M, additional, Akter, Farhana, additional, Jahan, Dilshad, additional, Islam, Salequl, additional, Etando, Ayukafangha, additional, Abdullah, Adnan, additional, Chowdhury, Kona, additional, Ahmad, Rahnuma, additional, Haq, Ahsanul, additional, and Haque, Mainul, additional

Published
2022
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49. Comparison of Fasting and Random Lipid Profile among Subjects with Type-2 Diabetes Mellitus Patients: An Outpatient-Based Cross-Sectional Study in Bangladesh

Author

Kamrul-Hasan, A. B. M., primary, Talukder, Samir Kumar, additional, Kabir, Md. Ahamedul, additional, Mustari, Marufa, additional, Nabi, Md. Masud Un, additional, Gaffar, Abu Jar, additional, Hossain, Md Firoj, additional, Alam, Muhammad Shah, additional, Islam, Md. Rashedul, additional, Hannan, Mohammad Abdul, additional, Zarin, Nusrat, additional, Paul, Ajit Kumar, additional, Akter, Farhana, additional, Ahammed, Afsar, additional, Kabir, Md Lutful, additional, Rahman, Mohammad Motiur, additional, Asaduzzaman, Md, additional, Saifuddin, Mohammad, additional, Chanda, Palash Kumar, additional, Rafi, Md. Abdur, additional, Hasan, Mohammad Jahid, additional, and Selim, Shahjada, additional

Published
2022
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50. The Impact of the COVID‑19 Pandemic on the Education of Medical, Dental and Non‑Medical Healthcare Professionals in Bangladesh: Findings and Connotation.

Author

Lutfor, Afzalunnessa Binte, Jahan, Fauzia, Siddiqui, Tosaddeque Hossain, Chowdhury, Kona, Ahmad, Rahnuma, Nusrat, Nadia, Akter, Farhana, Adnan, Nihad, Islam, Salequl, Kumar, Santosh, Sharma, Paras, Lugova, Halyna, Etando, Ayukafangha, Sultana, Irin, Sarkar, Sajuti, Begum, Firoza, Chowdhury, Chand Sultana, Mou, Taslin Jahan, Nahar, Shamsun, and Zaman, Taslima

Subjects
COVID-19 pandemic, MEDICAL students, ONLINE education, BLENDED learning, INFORMATION & communication technologies
Abstract

ntroduction: Lockdown measures in response to the COVID-19 pandemic had an appreciable impact on the education of all medical, dental and non-medical healthcare professional students. These included the closure of universities necessitating a rapid move to e-learning and a new practical approach to conducting teaching-learning classes. However, initially, there was a lack of knowledge and expertise regarding e-learning approaches and the affordability of internet bundles and equipment. Materials and Methods: We conducted two pilot studies to assess such current challenges, replaced by a two-stage approach including a full investigation involving 32 private and public universities during the early stages of the pandemic, followed by a later study assessing the current environment brought about by the forced tops. Results: The top challenges at the start of the pandemic included a lack of familiarity with the e-learning approaches, the cost of the internet, a lack of IT equipment and the quality of the classes. To address identified challenges, universities offered support to staff and students. Since then, e-learning approaches have widened the possibilities for teaching and learning at convenient times. However, challenges remain. Conclusions: There were considerable challenges at the start of the pandemic. Several key issues have been addressed with hybrid learning here to stay. The remaining challenges include a lack of ICT equipment. However, new innovations will continue. [ABSTRACT FROM AUTHOR]

Published
2023
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