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A method for the automatic determination of the fetus health status using Cardiotocography (CTG) and computer-based machine learning algorithms was developed. Five computation friendly machine learning algorithms were used to create multiclass classification models to predict the fetus health status from secondary CTG dataset containing normal, suspected and pathologic data available at University California Irvine Machine Learning Repository. Furthermore, a comparative analysis among the built models was executed. According to the comparative analysis, the best model to automatically detect fetal health was the extreme gradient boosting algorithm-based model with an accuracy of 96.7% and an F1-Score of 0.963 in the pathologic class. This finding thus has the potential to diagnose fetal heart conditions unsupervised, and more efficiently and effectively. J. Bangladesh Acad. Sci. 45(2); 155-167: December 2021

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Technology-dependency is increasing rapidly. People seek ways to apply technology to simplify complex tasks. Technology is the greatest platform for students to get ready for the world and become successful tech-oriented citizen. Knowledge acquisition needs to follow the current technological trends. Technology-dependency of our country increasing rapidly, students must learn to be tech-orianted. Integrating technology in education helps students to stay engaged. The purpose of the study is to identify the scenario of current trends, awareness and effective use of ICT and digital contents in science classroom of undergraduate students in Bangladesh. This study is focused on two central phenomena naming, 'skills, capabilities and practices' of teachers for appropriate and affordable digital content and ICT based learning' and 'use of digital contents to support collaboration, innovation and effectiveness'. The findings of the study represent that the concept of ICT based learning is not clear for both teachers and students so that classroom practice is not effective. Professional learning opportunities about ICT should be developed to meet the needs of teachers at various stages of knowledge, skills, understanding and practice.

The internship period provides the first level of postgraduate medical training and serves as one of the fundamental strides in every doctor’s career. An inadequate internship program in terms of duration, skills and quality may pose serious concerns on the overall healthcare sector. Hence, the aim of this study was to explore the adequacy of the duration of internship program in medical colleges of Bangladesh. Till date, any significant study has not been reported to address the issue. A cross-sectional descriptive study with pre-tested self-administered questionnaires was performed. The study was carried out in 8 medical colleges (4 public and 4 non-government; 4 inside Dhaka and 4 outside). 300 completed questionnaires (250 interns, 50 supervisors) were statistically analyzed with SPSSv20 software. Majority of the interns and teachers voiced that the current duration of One-year Internship Program was inadequate and they further suggested that the duration can be revised to at least a year and half. Further opinions were put forward to modify the community placement duration period from two weeks to at least three weeks as the current duration was also deficient. These findings thus can help the policy makers, medical practitioners and academicians to review the current structure and duration of the internship program in medical colleges of Bangladesh for the betterment of the undergraduate medical education as well as the overall healthcare system. Bangladesh Journal of Medical Education Vol.12(1) 2021: 32-39