Publications by authors named "M Abdul Awal"
Background: The involvement of undergraduate medical students in research is pivotal for the advancement of evidence-based clinical practice. This study aimed to assess the extent of research involvement and the factors influencing it among undergraduate medical students in Bangladesh.
Methods: A multi-center cross-sectional study involving 2864 medical students from both public and private medical colleges was conducted between June and December 2023.
Objectives: Caesarean section (CS) delivery is the most common operative obstetric procedure globally. The increasing trend of CS deliveries poses a significant threat to both child and maternal health. The adverse maternal outcomes associated with caesarean delivery represent a substantial public health concern worldwide.
View Article and Find Full Text PDFHepNet: Deep Neural Network for Classification of Early-Stage Hepatic Steatosis Using Microwave Signals.
IEEE J Biomed Health Inform
October 2024
Article Synopsis
- This study presents a new method for diagnosing hepatic steatosis using microwave technology and deep learning, aimed at improving early detection of chronic liver diseases.
- The model, named HepNet, incorporates advanced techniques like skip connections and transfer learning, allowing it to effectively learn from limited clinical data and outperform traditional models in accuracy.
- The simulation results demonstrated exceptional classification performance, with an F1-score of 0.91, and high scores of 0.95 and 0.88 in clinical validation, indicating its strong potential for real-world application.
Article Synopsis
- Effective communication among physicians is crucial for delivering quality healthcare, and understanding medical students' attitudes towards learning these skills can enhance medical education in culturally relevant ways.* -
- A study was conducted to culturally adapt and validate the Communication Skills Attitude Scale (CSAS) into Bangla for medical students in Bangladesh, involving a survey of 566 undergraduate students to assess their perceptions of communication skills.* -
- The results indicate that the Bangla version of the CSAS is valid and reliable, with a high internal consistency score (Cronbach's alpha = 0.882), revealing that female students are generally more open to learning communication skills than male students.*
This paper explores how digital entrepreneurs' intention toward blockchain technology adoption, perception of reduced costs, and knowledge of Artificial Intelligence impact achieving UN's Sustainable Development Goals (SDGs), drawing attention from various sectors. Present study applies explanatory sequential mixed method for data collection. Moreover, to work with the dual face patterned data, PLS-SEM is used to perform quantitative analysis of the data collected from 389 digital entrepreneurs who are chosen through purposive sampling and then content analysis is performed for the qualitative data according to the explanatory sequential mixed method's rule of thumb.
View Article and Find Full Text PDF