Articles: Recent submissions

Now showing items 1-20 of 4261

Does corporate governance affect environmental reporting?

Rouf, Md. Abdur; Al-Faryan, Mamdouh Abdulaziz Saleh (Scopus, 2024)

Purpose This study examines, in relation to agency theory, the influence of corporate mechanism on the environmental reporting of banking businesses registered on the Dhaka Stock Exchange (DSE). Design/methodology/approach ...
Predicting groundwater phosphate levels in coastal multi-aquifers: A geostatistical and data-driven approach

Abdullah-Al Mamun, Md.; Md Towfiqul Islam, Abu Reza; Aktar, Mst. Nazneen; Uddin, Md Nashir; Islam, Md. Saiful; Chandra Pal, Subodh; Islam, Aznarul (2024-11-25)

The groundwater (GW) resource plays a central role in securing water supply in the coastal region of Bangladesh and therefore the future sustainability of this valuable resource is crucial for the area. However, there is ...
Predicting electric vehicles adoption: A synthesis of perceived risk, benefit and the NORM activation model

Yee Choo, Seen; Vafaei-Zadeh, Ali; Hanifah, Haniruzila; Thurasamy, Ramayah (2024-10-24)

The increasing popularity of electric vehicles (EVs) as an alternative mode of transportation aims to reduce greenhouse gas emissions and energy expenditures, playing a crucial role in the evolution of emerging mobility ...
Predicting business resilience through talent management strategies in the banking industry

Edeh, Friday Ogbu; Chukwu, Agnes Ugboego; Okechukwu, Collins Irem; Mwakipesile, Greenfield; Zayed, Nurul Mohammad; Edeh, Blessing Friday; Ssekajugo, Derrick; Duru, Maxwell Ifeanyichukwu; Nwokeiwu, Johnson; Duruzor, Ifeoma Gloria; Udu, Gabriel Obasi Chidozie; Ogbaekirigwe, Charles Odu (2025-01-03)

The unpredictability of the business environment caused by several unforeseen circumstances has necessitated for resilience consciousness that are driven by effective talent management strategies. Thus, the aim of this ...
Polycystic Ovary Syndrome (PCOS) Disease Prediction Using Traditional Machine Learning and Deep Learning Algorithms

Mridul, Aunik Hasan; Ahsan, Nowreen; Alam, Syeda Sadia; Afrose, Sonia; Sultana, Zakia; kafi, Md. Tanvir Mahmud (2024-07-10)

In recent years, there has been a noticeable rise in the prevalence of Polycystic Ovary Syndrome (PCOS), a complex endocrine disorder that affects a significant portion of the population, particularly women of reproductive ...
Pollution status and ecological risks of metals in surface water of a coastal estuary and health risk assessment for recreational users

Real, Md. Khalid Hassan; Varol, Memet; Rahman, M. Safiur; Md. Towfiqul Islam, Abu Reza (2024-01-15)

Since the areas close to the Sundarbans mangrove estuary, which is one of the most dynamic and productive ecosystems in the world, are very suitable for urban and industrial activities, the coastal areas of this ecosystem ...
PollenNet: A novel architecture for high precision pollen grain classification through deep learning and explainable AI

Shamrat, F M Javed Mehedi; Idris, Mohd Yamani Idna; Zhou, Xujuan; Khalid, Majdi; Sharmin, Sharmin; Sharmin, Zeseya; Ahmed, Kawsar; Moni, Mohammad Ali (2024-10-15)

Pollen grains play a critical role in environmental, agricultural, and allergy research despite their tiny dimensions. The accurate classification of pollen grains remains a significant challenge, mainly attributable to ...
Pneumonia stage analyzes through image processing

Chowdhury, Nishu; Choudhury, Pranto Protim; Moon, Shatabdi Roy (2024-01-15)

physical examination and diagnostic imaging techniques including lung biopsies, ultrasounds, and chest X-rays are typically used to make the diagnosis of pneumonia infection, an infectious disease that has the potential ...
Planning off-grid hybrid energy system using techno-economic optimization and wins in league theory-based multi-criteria decision-making method in the wetland areas of developing countries

Ali, Tausif; Sunny, Mahmood Reaz; Aghaloo, Kamaleddin; Wang, Ke (2024-08-01)

The unique geographical features of wetlands pose challenges to the conventional energy infrastructure. To address these challenges, this study proposes the establishment of off-grid hybrid energy systems (HES) that integrate ...
PLA blended gelatine-based nanofibrous mats with enhanced hydrophobicity for soft tissue regeneration

Mukta, Nasima Akter; Ahmed, Samina; Chowdhury, A M Sarwaruddin; Khan, M Nuruzzaman; Hossain, Md Sahadat; Chowdhury, Gawsia W; Haque, Papia (2024-07-17)

Wound healing requires a substantial amount of moisture for faster recovery. Completely hydrophobic or hydrophilic biomaterials are not suitable to be applied for cell growth in wounded areas. The study aimed to prepare a ...
Pioneering study of radioactivity in soil near the Payra 1320 MW Thermal Power Plant, the largest coal-fired thermal power plant in Bangladesh

Siraz, M. M. Mahfuz; Reza, Ashik; Khan, Mohammad; Shafiqul Alam, Mohammad; Al Mahmud, Jubair; Rashid, Md. Bazlar; Begum, Mahbuba; Sultana, Nazneen; Khandaker, Mayeen Uddin; Osman, Hamid; Yeasmin, S. (2024-09-18)

Coal combustion increases atmospheric radioactivity, harming those live in the periphery of coal-fired thermal power plants (CFTPPs). A pioneering study has been performed using a high-purity germanium detector by analysing ...
Phytoconstituents of Citrus limon (Lemon) as Potential Inhibitors Against Multi Targets of SARS-CoV-2 by Use of Molecular Modelling and In Vitro Determination Approaches

Raman, Kannan; Kalirajan, Rajagopal; Islam, Fahadul; Jupudi, Srikanth; Selvaraj, Divakar; Swaminathan, Gomathi; Singh, Laliteshwar Pratap; Rana, Ritesh; Akash, Shopnil; Islam, Md. Rezaul (2024-06-21)

In the present work, phytoconstituents from Citrus limon are computationally tested against SARS-CoV-2 target protein such as Mpro - (5R82.pdb), Spike - (6YZ5.pdb) &RdRp - (7BTF.pdb) for COVID-19. Docking was done by glide ...
RETRACTED: Phytochemical screening, HPLC fingerprinting and in vitro assessment of therapeutic potentials of different apricot cultivars against diabetes, Alzheimer's disease and cancer

Sheikh, Zahid Nabi; Sharma, Vikas; Raina, Shilpa; Bakshi, Prashant; Yousuf, Rizwan; Zari, Ali; Zari, Talal A.; Hakeem, Khalid Rehman (2024-10-15)

Plant-based natural compounds are widely used to treat various ailments owing to their readily availability and minimal adverse effects. This study aimed to perform qualitative and quantitative biochemical profiling and ...
Phytochemical Screening, Antioxidant, Cytotoxic, Analgesic, Antidiarrheal Activity and GC-MS Analysis of the Leaves of Stachyphrynium Placentarium

Kumar Das, Ananta; Nazmul Islam, Md.; Islam, Md. Mahmudul; Paul, Prosenjit; Das, Utpaul Chandra; Banik, Ratry; Shuchi, Afifa Tasneem; Mahmud, Md. Hasan (2024-10-10)

The goal of the present study is to analyze the phytochemicals, antioxidants, cytotoxic, analgesic and anti-diarrheal properties of the leaves of Stachyphrynium placentarium methanol extract as well as its dichloromethane ...
Phonological variation and linguistic diversity in Bangladeshi dialects: An exploration of sound patterns and sociolinguistic significance

Mustafizur Rahman, Mohammad; Barman, Binoy; Sharmin, Liza; Uddin, Md. Rafiz; Yusuf, Sakiba Binte; Rasool, Ushba (2024-06-15)

This paper explores how people in different parts of Bangladesh talk differently from each other. The study pays special attention to the unique sounds in their dialects compared to the standard Bangla language. The main ...
Perturbation in meander behaviour of a subtropical river in India under variable natural and anthropogenic controls

Ghosh, Susmita; Islam, Aznarul; Das, Balai Chandra; Pal, Subodh Chandra; Md Towfiqul Islam, Abu Reza; Mallick, Sahil (2024-12-15)

Meander morphology is perturbed worldwide by human interventions to a certain extent in the Anthropocene. To this end, the present study aims to investigate the meander behaviour, including its deformations, of the Kopai ...
Persuading of virulence factors production in Pseudomonas aeruginosa by artificial food coloring azo dyes

Mitra, Trinankur; Subramanian, Thulasiram; Kanakaraja, Abinaya; Gopalakrishnan, Allwyn Vyas; C.B. Gopinath, Subash; Raman, Pachaiappan (2024-05-22)

Azo dyes are added as coloring agents in food, beverage, cosmetics, and pharmaceutical products owing to their economic viability, aesthetic appeal, and ability to maintain color integrity. Opportunistic bacteria of ...
Performance Indicators for Assessing Environmental Management Plan Implementation in Water Projects

Farouk, Abdelrahman M.; Radzi, Afiqah R.; Romali, Noor Suraya; Farouk, Mohamed; Elgamal, Mohamed; Hassan, Raouf; Omer, Mazen M.; Rahman, Rahimi A. (2024-04-10)

This research aims to examine the performance indicators that are crucial for assessing the implementation of environmental management plans (EMPs) in water projects. To achieve this aim, a questionnaire survey, integrating ...
Performance improvement of THz MIMO antenna with graphene and prediction bandwidth through machine learning analysis for 6G application

Haque, Md Ashraful; Ananta, Redwan A.; Nirob, Jamal Hossain; Ahammed, Md. Sharif; Sawaran Singh, Narinderjit Singh; Paul, Liton Chandra; Algarni, Abeer D.; ElAffendi, Mohammed; A Ateya, Abdelhamied (2024-12-15)

This article provides the findings of a study that integrated simulation, an RLC equivalent circuit, and machine learning (ML) techniques to improve wireless indoor communications clusters with future 6 G applications. The ...
Performance enhancement of machine learning algorithm for breast cancer diagnosis using hyperparameter optimization

Hridoy, Rashidul Hasan; Arni, Arindra Dey; Ghosh, Shomitro Kumar; Chakraborty, Narayan Ranjan; Mahmud, Imran (2023-11-18)

Breast cancer is the most fatal women’s cancer, and accurate diagnosis of this disease in the initial phase is crucial to abate death rates worldwide. The demand for computer-aided disease diagnosis technologies in healthcare ...

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