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  • Coping with the COVID-19 Pandemic by Strengthening Immunity as a Nonpharmaceutical Intervention 
    Uddin, Nizam; Acter, Thamina; Harun‐Ar Rashid, Md.; Chowdhury, Akibul Islam; Jahan, Effat Ara (John Wiley & Sons, 2023-08-22)
    Background and Aims The global Coronavirus‐2 outbreak has emerged as a significant threat to majority of individuals around the world. The most effective solution for addressing this viral outbreak is through vaccination. ...
  • Corporate Governance Reporting in Bangladesh 
    Rouf, Md. Abdur; Akhtaruddin, M. (International Journal of Ethics and Systems, 2020-10-10)
    This study aims to investigate the extent and nature of corporate governance reporting (CGR) in corporate annual reports of Bangladesh. The aim of the study to test empirically the relationship between corporate governance ...
  • Corporate Sustainability Development Strategy and Corporate Environmental Governance—The Moderating Role of Corporate Environmental Investments 
    Ao, Xiangyuan; Ong, Tze San; Teh, Boon Heng (MDPI Publications, 2023-03-03)
    Environmental degradation and ecological devastation have become widespread global concerns in recent years as a result of the expansion of the international economy. China’s rapid economic development has been accompanied ...
  • The Corporeality of Infotainment on Fans Feedback Towards Sports Comment Employing Convolutional Long-Short Term Neural Network 
    Saha, Uchchhwas; Mahmud, Md. Shihab; Shimu, Sumaia; Eva, Shabikun Naher; Khushbu, Sharun Akter; Asif, Imtiaz Ahmmed (Daffodil International University, 2022-05-27)
    In ODIs, World Cups and T-20 matches of various sports like Football, Cricket, Hockey, Basketball and Badminton, fans express their feelings and emotions towards the players by posting their status on social media like ...
  • Correction To: Gambling-Related Suicide in East African Community Countries: Evidence From Press Media Reports 
    Munaru, Gideon; Kaggwa, Mark Mohan; Mamun, Mohammed A.; Najjuka, Sarah Maria; Muwanguzi, Moses; Kule, Moses; Nkola, Rahel; Favina, Alain; Kihumuro, Raymond Bernard; Arinaitwe, Innocent; Rukundo, Godfrey Zari; Grifths, Mark D. (Scopus, 22-02-08)
    Background: Gambling activities and associated mental health problems have become a topic of increased concern globally. Many individuals with a severe gambling disorder have gambling-related suicidality. However, no study ...
  • Corrigendum: Anti-Viral Drug Discovery Against Monkeypox and Smallpox Infection by Natural Curcumin Derivatives 
    Akash, Shopnil; Hossain, Arafat; Hossain, Md. Sarowar; Rahman, Md. Mominur; Ahmed, Mohammad Z.; Ali, Nemat; Valis, Martin; Kuca, Kamil; Sharma, Rohit (Frontiers, 2023-03-22)
    "Background: In the last couple of years, viral infections have been leading the globe, considered one of the most widespread and extremely damaging health problems and one of the leading causes of mortality in the modern ...
  • A Cost-Effective IoT Device for Protecting People from the Dangers of Environmental Risk in Bangladesh 
    Rimi, Mahmuda Mahfuz; Ahmed, Md Rasel; Hossan, Sakhawat; Rahaman, Md Masudur; Faysal, Md Anowar Hossen; Foysal, Md. Ferdouse Ahmed (Daffodil International University, 2022-07-29)
    The factors of population growth, unplanned urbanization, vehicles, factories, and brick kilns are constantly making air quality concerns. In addition, due to lack of public awareness, people are continually facing various ...
  • A Cost-Effective Voice Controlled Electronic Braille for Independent Learning of Visually Impaired People 
    Adnan, Md Ehtesham; Nur E Alam, Mir Md; Sirajum Monira, Jannatul Ferdousi; Rezaul Islam, Mohammad (IEEE, 2020-11-02)
    The process of learning is very strenuous for the people who are visually impaired or visually challenged. Voice Activated Braille is a portable device that will help visually impaired or visually challenged people to learn ...
  • Cough Syrups: Silent Killer of Gambian Children 
    Chopra, Hitesh; Attia, Mohamed S.; Badshah, Syed Faisal; Dhama, Kuldeep; Emran, Talha B. (Wolters Kluwer Health, Inc., 2023-12-16)
    Hundreds of child deaths from acute kidney damage were linked to the use of paracetamol syrup. Methylergometrine tablets were discovered to be counterfeit. Experts in the medical field have warned that due to the ...
  • Coumarin-Based Sulfonamide Derivatives As Potential DPP-IV Inhibitors 
    Vawhal, Pallavi Kishor; Jadhav, Shailaja B.; Kaushik, Sumit; Panigrahi, Kahnu Charan; Nayak, Chandan; Urmee, Humaira; Khan, Sharuk L.; Siddiqui, Falak A.; Islam, Fahadul; Eftekhari, Aziz; Alzahrani, Abdullah R.; Azlina, Mohd Fahami Nur; Sarker, Md. Moklesur Rahman; Ibrahim, Ibrahim Abdel Aziz (MDPI Publications, 2023-01-19)
    Recent research on dipeptidyl peptidase-IV (DPP-IV) inhibitors has made it feasible to treat type 2 diabetes mellitus (T2DM) with minimal side effects. Therefore, in the present investigation, we aimed to discover and ...
  • Countries Condition of Forestation and Trees Percentage Using Machine Learning 
    Abdullha, Abir; Habib, Yeasin; Masum, Md. Raisul Islam; Rabby, Akm Shahariar Azad (Proceedings of the 2019 8th International Conference on System Modeling and Advancement in Research Trends, IEEE, 2020-06-16)
    ,Most countries are now in a dangerous place for forestation and some are in developed forestation. So forestation and trees percentage prediction are to predict the condition of the countries about their condition of ...
  • Coupling of Machine Learning and Remote Sensing for Soil Salinity Mapping in Coastal Area of Bangladesh 
    Sarkar, Showmitra Kumar; Rudra, Rhyme Rubayet; Sohan, Abid Reza; Das, Palash Chandra; Ekram, Khondaker Mohammed Mohiuddin; Talukdar, Swapan; Rahman, Atiqur; Alam, Edris; Islam, Md Kamrul; Islam, Abu Reza Md. Towfiqul (Springer, 2023-10-10)
    Soil salinity is a pressing issue for sustainable food security in coastal regions. However, the coupling of machine learning and remote sensing was seldom employed for soil salinity mapping in the coastal areas of Bangladesh. ...
  • Covid-19 
    Abdullha, Abir; Abujar, Sheikh (2020 15th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), IEEE, 2021-03-16)
    Most of the countries are now affected by COVID19, COVID-19 is now the name of the biggest problem in the world. Bangladesh is also affected by COVID-19. The whole country is facing this virus as the biggest problem. So ...
  • Covid-19 
    Abdullha, Abir; Abujar, Sheikh (2020 15th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), IEEE, 2021-03-16)
    Most of the countries are now affected by COVID19, COVID-19 is now the name of the biggest problem in the world. Bangladesh is also affected by COVID-19. The whole country is facing this virus as the biggest problem. So ...
  • COVID-19 Crisis 
    Muhammad, Faisal (The Open Neurology Journal, 2021-01-14)
    Neurological disorders are mostly chronic, long-term conditions. It is crucial to be aware of the likelihood of neurological manifestations of the novel COVID-19, more especially during acute illness as well as the possibility ...
  • COVID-19 Crisis 
    Muhammad, Faisal (Scopus, 2021)
    The novel coronavirus disease 2019 (COVID-19) is spreading across the globe. Many studies that have recently been conducted confirmed the presence of some neurological symptoms in COVID-19 cases. The novel COVID-19 virus ...
  • Covid-19 Dataset 
    Ali, Hasmot; Hossain, Md. Fahad; Hasan, Md. Mehedi; Abujar, Sheikh (Data in Brief, Elsevier, 2020-08-17)
    The article represents coronavirus spread log history. The duration, coronavirus takes to spread from one country to another country, could be seen in this dataset and could predicted the same for future pandemics through ...
  • COVID-19 Detection from Chest X-Ray Images Using CNN Models and Deep Learning 
    Moin, Nafisha Binte; Sultana, Shamima; Al Munem, Abdullah; Imam, Omar Tawhid; Reza, Ahmed Wasif; Arefin, Mohammad Shamsul (Springer, 2023-12-24)
    The dangerous disease and ailment known as COVID-19 has caused a global pandemic and immeasurable damage to people all around the globe. Chest X-Rays are being used to identify COVID-19 in current times due to their low ...
  • COVID-19 Detection Using Deep Learning Algorithm on Chest X-ray Images 
    Akter, Shamima; Shamrat, F. M. Javed Mehedi; Chakraborty, Sovon; Karim, Asif; Azam, Sami (Daffodil International University, 2021-11-13)
    COVID-19, regarded as the deadliest virus of the 21st century, has claimed the lives of millions of people around the globe in less than two years. Since the virus initially affects the lungs of patients, X-ray imaging ...
  • Covid-19 Detection Using Deep Learning Algorithm on Chest X-ray Images 
    Akter, Shamima; Shamrat, F M Javed Mehedi; Chakraborty, Sovon; Karim, Asif; Azam, Sami (Biology, 2021-11)
    COVID-19, regarded as the deadliest virus of the 21st century, has claimed the lives of millions of people around the globe in less than two years. Since the virus initially affects the lungs of patients, X-ray imaging of ...

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