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  • Determinants of Online Game Player Loyalty Among Millennials 
    Yeo, Sook Fern; Tan, Cheng Ling; Tan, Wei Sheng (Daffodil International University, 2022-01-20)
    Online game loyalty has become a concern for many companies and game developers since the high competition in the gaming industry. This study aims to determine the influencing factors of online game loyalty. The questionnaires ...
  • Determinants of Pro-Environmental Behaviour in the Workplace 
    Bob Foster; Muhammad, Zikri; Yusliza, Mohd Yusoff; Faezah, Juhari Noor; Johansyah, Muhamad Deni; Yong, Jing Yi; Ul-Haque, Adnan; Saputra, Jumadil; Ramayah, Thurasamy; Fawehinmi, Olawole (Daffodil International University, 2022-04-08)
    The primary notion of sustainable development is to maintain a promising future for the planet and the next generation by raising the awareness of sustainable development of people around the world. This study seeks to ...
  • Determinants of Stunting During the First 1,000 Days of Life in Bangladesh 
    Islam, Md. Shariful; Ullah, Abu Naser Zafar; Mainali, Shristi; Imam, Md. Akhter; Hossain, Md. Imran (Food Science and Nutrition, John Wiley & Sons, 2020-06-30)
    Stunting is a major problem in Bangladesh, with a prevalence of 31% in 2017. The prevalence of stunting in children aged under two has reduced by only 6% since 2004. After children reach 2 years of age, the consequences ...
  • Determinants of Women’s Entrepreneurial Performance: Evidence From Bangladesh 
    Akhter, Ayeasha; Ali, Mohammed Julfikar; Tanchi, Khadiza Rahman; Latif, Wasib Bin; Karim, Md. Mobarak (Business Perspectives Publications, 2023-03-14)
    Women entrepreneurship has been gaining a prominent awareness among policymak- ers in contemporary economics, as it can hasten the rate of technological advancement and economic progress. The objective of this study is to ...
  • Determination of Different Antioxidant Compounds from the Mangrove Plants of Pandanus Foetidus and Avicennia Officinalis 
    Aovi, Farjana Islam; Rahman, Md. Mominur (Pharmacology online, 2019)
    Recently, medicinal plants have grabbed attention worldwide in the field of neurosciences for therapeutic intervention. The aim of the study was to identify and measure the total phenolic content (TPC), total flavonoids ...
  • Determination of Phosphate Rock Mines Signatures Using XRT and ICP-MS Elemental Analysis Techniques: Radionuclides, Oxides, Rare Earth, and Trace Elements 
    El-Taher, A.; Ashry, Ahmed; Ene, Antoaneta; Almeshari, Meshari (Researchget publications, 2023-06-15)
    Inductively coupled plasma mass spectrometry (ICP-MS) was used to provide precise information on the fundamental elemental compositions of phosphate rocks from the El-Sibayia and El-Hamrawein mines in Egypt. To create ...
  • Determination of Synthetic Opioids in Oral Fluid Samples Using Fabric Phase Sorptive Extraction and Gas Chromatography-Mass Spectrometry 
    Ares-Fuentes, Ana M.; Lorenzo, Rosa A.; Fernández, Purificación; Furton, Kenneth G.; Kabir, Abuzar; Carro, Antonia M. (Daffodil International University, 2021-12-23)
    New psychoactive substances (NPS) continue to emerge in the drug market every year, becoming a global threat to public health and safety. These compounds are mostly synthetic cannabinoids and designer cathinones. However, ...
  • Determination the Level of Heavy Metals in Different Edible Fish Species Collected From the Local Market of Dhaka, Bangladesh 
    Raka, Sabreena Chowdhury; Toma, Arofa Ratri; Mithi, Faria Mannan; Rahman, Arifur (Pharmacology online, 2020-12-30)
    The presence of heavy metals was examined in three different fishes, which were collected from a local market in Dhaka, Bangladesh. After drying and crushing, the samples were treated with 70% HNO3+65% HClO4 (4:1), Conc. ...
  • Developing a Classification CNN Model to Classify Different Types of Fish 
    Ahmed, Farhan; Basak, Bijoy; Chakraborty, Simonta; Karmokar, Tumpa; Reza, Ahmed Wasif; Imam, Omar Tawhid; Arefin, Mohammad Shamsul (Springer, 2023-07-01)
    Identifying any fish type can be difficult for people who are not familiar with fish. Implementation of a fish classification machine learning model can become helpful in this scope. The purpose of this paper is to build ...
  • Developing a Multimodal Transportation Model for China to Minimize Travel Time and Cost under Belt and Road Initiative 
    Anam, Sayedul; Mohapatra, Srikanta Kumar; Babu, Md. Ashraful; Mohanty, Jayashree (IEEE, 2023-08-15)
    China exports several goods to other countries or cities and to shift these goods has to use different ways such as road, air, and water for their shipment irrespective of air pollution. Recently China invests in Pakistan ...
  • Developing a Tool to Classify Different Types of Fruits Using Deep Learning and VGG16 
    Ahsan, Mobassir; Yousuf, Mahfuza; Rahman, Md. Saifur; Proma, Farhana Islam; Imam, Omar Tawhid; Reza, Ahmed Wasif; Arefin, Mohammad Shamsul (Springer, 2022-10-21)
    In this paper, we present two methods for the classification of fruits of Bangladesh from image processing techniques. We have used deep learning convolutional neural network in our model and VGG16 in another model. From ...
  • Developing a Transaction System in Blockchain 
    Meem, Afsana Nur; Nodi, Lamya Ishrat; Islam, Efte Kharul; Tomal, Minhazul Amin; Reza, Ahmed Wasif; Arefin, Mohammad Shamsul (Springer, 2023-12-20)
    Blockchain technology is advancing quickly and does not appear to be slowing down. Many things that looked inconceivable in the last few decades—like excessive transaction costs, double spending, net fraud, recovering lost ...
  • Developing Algorithm to Obtain the Maximum Flow in a Network Flow Problem 
    Dash, Protima; Rahman, Md. Mosfiqur; Akter, M. Sharmin (Journal of Advanced Research in Dynamical and Control Systems, 2019)
    In this paper we want to introduce a different approach for finding the maximum flow of a maximal- flow problem involving less number of iterations and augmentations than Edmonds- Karp algorithm. A numerical example is ...
  • Developing an Energy Cost Calculator for Solar 
    Rahat, Md. Sabik Alam; Banik, Plabon; Rafe, Md. Abid Hasan; Reza, Dr. Ahmed Wasif (Springer, 2023-10-21)
    One of the most important variables affecting a country’s socioeconomic maturity is access to electricity. Bangladesh is now suffering from a severe electricity shortage. Around 65% of people do not have access to power, ...
  • Developing and Evaluating a Desktop-Based Learning Management System 
    Bhuiyan, Touhid; Kundu, Ronjon (Jmstpapers, 2014-03)
    In modern world, eLearning is widely used in a good number of educational institutes. Many educators emphasize that there are considerable benefits of using a Learning Management System to implement effective e-Learning ...
  • Development and Performance Analysis of Machine Learning Methods for Predicting Depression Among Menopausal Women 
    Ali, Md. Mamun; Ali, Hussein; Algashamy, A.; Alzidi, Enas; Ahmed, Kawsar; Bui, Francis M.; Patel, Shobhit K.; Azam, Sami; Abdulrazak, Lway Faisal; Moni, Mohammad Ali (Elsevier, 2023-05-25)
    Menopause is an obligatory phenomenon in a woman’s life. Some women face mental and physical issues during their menopausal period. Depression is one of the issues some women struggle with during their menopausal period. ...
  • Development and Performance Analysis of Machine Learning Methods for Predicting Depression Among Menopausal Women 
    Shopnil Akash; Baeza, Javiera; Mahmood, Sajjat; Mukerjee, Nobendu; Subramaniyan, Vetriselvan; Islam, Md. Rezaul; Gupta, Gaurav; Rajakumari, Vinibha; Chinni, Suresh V.; Ramachawolran, Gobinath; Saleh, Fayez M.; Albadrani, Ghadeer M.; Sayed, Amany A.; Abdel-Daim, Mohamed M. (Frontier Scientific Publishing, 2023-07-11)
    The Lassa virus (LASV), an RNA virus prevalent in West and Central Africa, causes severe hemorrhagic fever with a high fatality rate. However, no FDA-approved treatments or vaccines exist. Two crucial proteins, LASV ...
  • Development of a Low-cost Real-time Bioelectrical Signal Acquisition Module 
    Kamal, Md. Shah; Efaz, Erteza Tawsif; Alam, Md. Fakhrul; Rana, Md. Masud; Sakib, Syed Nazmus; Islam, Shekh M. M. (2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI) , IEEE, 2021-02-16)
    Human Machine Interface (HMI) is gaining attention in the healthcare field and the acquisition of different bioelectrical signals simultaneously through one portable system remains still under active investigations, which ...
  • Development of an Advanced DNA Biosensor for Pathogenic Vibrio Cholerae Detection in Real Sample 
    Ali, M.R.; Bacchu, M.S.; Setu, M.A.A.; Akter, S.; Hasan, M.N.; Chowdhury, F.T.; Rahman, M.M.; Ahommed, M.S.; Khan, M.Z.H. (Biosensors and Bioelectronics, Elsevier, 2021-09-15)
    Due to the epidemics of emerging microbial diseases worldwide, the accurate and rapid quantification of pathogenic bacteria is extremely critical. In this work, a highly sensitive DNA-based electrochemical biosensor has ...
  • Development of an Advanced DNA Biosensor for Pathogenic Vibrio Cholerae Detection in Real Sample 
    Ali, M.R.; Bacchu, M.S.; Akter, S.; Hasan, M.N.; Chowdhury, F.T.; Rahman, M.M.; Ahommed, M.S. (Biosensors and Bioelectronics, Elsevier, 2021)
    Due to the epidemics of emerging microbial diseases worldwide, the accurate and rapid quantification of pathogenic bacteria is extremely critical. In this work, a highly sensitive DNA-based electrochemical biosensor has ...

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