Articles: Recent submissions

  • The pathogenetic influence of smoking on SARS-CoV-2 infection: Integrative transcriptome and regulomics analysis of lung epithelial cells 
    Hossain, Md. Ali; Asa, Tania Akter; Auwul, Md. Rabiul; Aktaruzzaman, Md.; Rahman, Md. Mahfizur; Rahman, M. Zahidur; Moni, Mohammad Ali (Daffodil International University, 2023)
    Corona virus disease (COVID-19) has been emerged as pandemic infectious disease. The recent epidemiological data suggest that the smokers are more vulnerable to infection with COVID-19; however, the influence of smoking ...
  • Mechanistic Insights on Anticancer Drugs With Specific Biological Targets and Signalling Pathways 
    Patwekar, Mohsina; Patwekar, Faheem; Medikeri, Anuradha; Daniyal, Shaikh; Kamal, Mohammad A.; Rather, Gulzar Ahmed; Sharma, Rohit (Emerald Publishing Limited, 2023-09-15)
    Complex enzyme interactions play a role in the spread of cancer, a process fueled by unregulated cell proliferation. DNA topoisomerases, which are important for fixing DNA topological problems, have drawn a lot of interest ...
  • Mechanistic Insight of Staphylococcus aureus Associated Skin Cancer in Humans by Santalum album Derived Phytochemicals 
    Hosen, Md. Eram; Supti, Sumaiya Jahan; Akash, Shopnil; Rahman, Md. Ekhtiar; Faruqe, Md Omar; Manirujjaman, M.; Acharjee, Uzzal Kumar; Gaafar, Abdel-Rhman Z.; Ouahmane, Lahcen; Sitotaw, Baye; Bourhia, Mohammed; Zaman, Rashed (Frontier Scientific Publishing, 2023-11-21)
    An excessive amount of multidrug-resistant Staphylococcus aureus is commonly associated with actinic keratosis (AK) and squamous cell carcinoma (SCC) by secreted virulence products that induced the chronic inflammation ...
  • Mechanistic Inhibition of Gastric Cancer-Associated Bacteria Helicobacter pylori by Selected Phytocompounds 
    Akash, Shopnil; Bayıl, Imren; Mahmood, Sajjat; Mukerjee, Nobendu; Mili, Tamanna Akter; Dhama, Kuldeep; Rahman, Md Anisur; Maitra, Swastika; Mohany, Mohamed; Al-Rejaie, Salim S.; Ali, Nemat; Semwal, Prabhakar; Sharma, Rohit (Elsevier, 2023-10-05)
    Background Helicobacter pylori (H. pylori) is a persistent bacterial inhabitant in the stomachs of approximately half the global populace. This bacterium is directly linked to chronic gastritis, leading to a heightened ...
  • Mechanistic Inhibition of Monkeypox and Marburg Virus Infection by O-Rhamnosides and Kaempferol-O-Rhamnosides Derivatives 
    Mashud, Md Abdullah Al; Kumer, Ajoy; Mukerjee, Nobendu; Chandro, Akhel; Maitra, Swastika; Chakma, Unesco; Dey, Abhijit; Akash, Shopnil; Alexiou, Athanasiosis; Khan, Azmat Ali; Alanazi, Amer M; Ghosh, Arabinda; Chen, Kow-Tong; Sharma, Rohit (Frontier Scientific Publishing, 2023-05-24)
    "The increasing incidence of Monkeypox virus (Mpox) and Marburg virus (MARV) infections worldwide presents a significant challenge to global health, as limited treatment options are currently available. This study investigates ...
  • Mechanism of Mesenchymal Stem Cells as a Multitarget DiseaseModifying Therapy for Parkinson's Disease 
    Unnisa, Aziz; Dua, Kamal; Kamal, Mohammad Amjad (Bentham Science Publishers Ltd., 2023-04-15)
    Parkinson's disease (PD) is one of the most prevalent neurodegenerative disorders, affecting the basal nuclei, causing impairment of motor and cognitive functions. Loss of dopaminergic (DAergic) neurons or their degeneration ...
  • Measurement of Radioactivity in Soils of Karamjal and Harbaria Mangrove Forest of Sundarbans for Establishment of Radiological Database 
    Siraz, M. M. Mahfuz; M., Jubair A.; Rashid, Md. Bazlar; Hossain, Z.; Khandake, Mayeen Uddin; Bradley, D. A.; Yeasmin, S. (PLOS ONE Publications, 2023-10-19)
    This work presents the first in-depth study of soil radioactivity in the mangrove forest of Bangladesh part of the Sundarbans. It used HPGe gamma-ray spectrometry to measure the amount of natural radioactivity in soil ...
  • Measurement of 222Rn in Ground Water and NORMs in Top Soil in the Environs of Rooppur Nuclear Power Plant Site and Associated Health Hazard 
    Pervin, Shikha; Banik, Subrata; Sultana, Nazneen; Karmaker, Shanjib; Khandaker, Mayeen Uddin; Yeasmin, Selina; Uddin, Md. Mohi (Springer Nature, 2023-09-09)
    This study determines the prevailing concentrations of 222Rn in twenty groundwater samples and primordial radionuclides in twelve soil samples collected from the surrounding area of the Rooppur Nuclear Power Plant (RNPP) ...
  • Massilia agrisoli sp. nov., Isolated From Rhizospheric Soil of Banana 
    Huq, Md. Amdadul; Ma, Juncai; Srinivasan, Sathiyaraj; Parvez, Md. Anowar Khasru; Rahman, M. Mizanur; Naserkheil6​, Masoumeh; Abuhena, Md.; Maitra, Pulak; Islam, Fahadul; NAM, Kihong; Park, Jong-Hyun; Akter, Shahina (The ICSP and the BAM division of the IUMS., 2023-01-15)
    A Gram-stain-negative, aerobic, short rod-shaped and motile novel bacterial strain, designated MAHUQ-52T, was isolated from the rhizospheric soil of a banana plant. Colonies grew at 10–35 °C (optimum, 28 °C), pH 6.0–9.5 ...
  • Mapping Out the Vulnerabilities of Migrant Women in the Informal Sector: A Qualitative Investigation in Dhaka City 
    Sifullah, Md. Khaled; Sohel, Md. Salman; Sarker, Md. Fouad Hossain; Islam, Muhaiminul; Ahmad, Maruf; Rahman, Md Motiur (Elsevier, 2023-10-12)
    The current study seeks to explore the vulnerabilities typically encountered by female migrants in the informal sector in Dhaka city. It used a qualitative research approach, purposively selecting four areas from Dhaka ...
  • Managing the Invisible Threat of Microplastics in Marine Ecosystems: Lessons From Coast of the Bay of Bengal 
    Mubin, Al-Nure; Arefin, Shahoriar; Mia, Md. Sonir; Islam, Abu Reza Md. Towfiqul; Bari, A.B.M. Mainul; Islam, Md. Saiful; Ali, Mir Mohammad; Siddique, Md. Abu Bakar; Rahman, M. Safiur; Senapathi, Venkatramanan; Idris, Abubakr M.; Malafaia, Guilherme (IEEE, 2023-09-01)
    Invisible microplastics (MP) have become a significant problem worldwide in recent years. Although many studies have highlighted the sources, effects, and fate of MPs pollution on various ecosystems in developed countries, ...
  • Machine Learning-Based Technique for Resonance and Directivity Prediction of UMTS LTE Band Quasi Yagi Antenna 
    Haque, Md. Ashraful; Saha, Dipon; Al-Bawri, Samir Salem; Paul, Liton Chandra; Rahman, Md Afzalur; Alshanketi, Faisal; Alhazmi, Ali; Rambe, Ali Hanafiah; Zakariya, M.A.; Hashwan, Saeed S. Ba (Elsevier, 2023-09-01)
    In this study, we have presented our findings on the deployment of a machine learning (ML) technique to enhance the performance of LTE applications employing quasi-Yagi-Uda antennas at 2100 MHz UMTS band. A number of ...
  • Machine Learning-Based Technique for Gain and Resonance Prediction of Mid Band 5G Yagi Antenna 
    Haque, Md. Ashraful; Rahman, Md Afzalur; Al‑Bawri, Samir Salem; Yusoff, Zubaida; Sharker, Adiba Haque; Abdulkawi, Wazie M.; Saha, Dipon; Paul, Liton Chandra; Zakariya, M. A. (Springer, 2023-08-03)
    In this study, we present our findings from investigating the use of a machine learning (ML) technique to improve the performance of Quasi-Yagi–Uda antennas operating in the n78 band for 5G applications. This research study ...
  • Machine Learning Technique Based Fake News Detection 
    Sutradhar, Biplob Kumar; Zonaid, Md.; Ria, Nushrat Jahan; Noori, Sheak Rashed Haider (IEEE, 2023-01-15)
    False news has received attention from both the general public and the scholarly world. Such false information has the ability to affect public perception, giving nefarious groups the chance to influence the results of ...
  • Machine Learning Modeling for Reconditioned Car Selling Price Prediction 
    Abdullah, Fatema; Rahman, Md. Ataur; Shidujaman, Mohammad; Hasan, Mahady; Habib, Md. Tarek (SPIE Publications, 2023-09-19)
    Almost 80% of the vehicles required for Bangladesh's road transportation industry are supplied by reconditioned cars. Using machine learning (ML) to predict car prices refers to using ML algorithms and techniques to make ...
  • Machine Learning-Based Model to Predict Heart Disease in Early Stage Employing Different Feature Selection Techniques 
    Biswas, Niloy; Ali, Md Mamun; Rahaman, Md Abdur; Islam, Minhajul; Mia, Md. Rajib; Azam, Sami; Ahmed, Kawsar; Bui, Francis M.; Al-Zahrani, Fahad Ahmed; Moni, Mohammad Ali (Hindawi Publications, 2023-05-02)
    Almost 17.9 million people are losing their lives due to cardiovascular disease, which is 32% of total death throughout the world. It is a global concern nowadays. However, it is a matter of joy that the mortality rate due ...
  • Machine Learning-Based Depression Detection 
    Biswas, Saikat; Islam, Md.Mozahidul; Sarker, Utpaul; Hridoy, Rashidul Hasan; Habib, Md. Tarek (Springer Nature, 2023-04-14)
    Depression is an extremely serious illness of humans which causes constant mood swings and feelings of sadness. Nowadays, it is considered to be a deadly disorder in the world. At present, everyone from young to old is ...
  • Machine Learning-Based Approach for Predicting Diabetes Employing Socio-Demographic Characteristics 
    Rahman, Md. Ashikur; Abdulrazak, Lway Faisal; Ali, Md. Mamun; Mahmud, Imran; Ahmed, Kawsar; Bui, Francis M. (MDPI Publications, 2023-10-29)
    Diabetes is one of the fatal diseases that play a vital role in the growth of other diseases in the human body. From a clinical perspective, the most significant approach to mitigating the effects of diabetes is early-stage ...
  • Machine Learning Approach on Multiclass Classification of Internet Firewall Log Files 
    Rahman, Md Habibur; Islam, Taminul; Rana, Md Masum; Tasnim, Rehnuma; Mona, Tanzina Rahman; Sakib, Md. Mamun (IEEE, 2023-01-15)
    "Firewalls are critical components in securing communication networks by screening all incoming (and occasionally exiting) data packets. Filtering is carried out by comparing incoming data packets to a set of rules ...
  • MRIAD: A Pre-clinical Prevalence Study on Alzheimer’s Disease Prediction Through Machine Learning Classifiers 
    Loba, Jannatul; Mia, Md. Rajib; Mahmud, Imran; Mahi, Md. Julkar Nayeen; Whaiduzzaman, Md.; Ahmed, Kawsar (Springer Nature, 2023-08-31)
    Alzheimer’s disease (AD) is a neurological illness that worsens with time. The aged population has expanded in recent years, as has the prevalence of geriatric illnesses. There is no cure, but early detection and proper ...

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