Impacts of ICT Integration in the Higher Education Classrooms: Bangladesh Perspective

For the last few years, ICT integration in education has been the topic of discussion for researchers. Very few researches have been conducted on ICT integration in the context of higher education, especially in Bangladesh. The purpose of this study is to explore the ICT integration in higher education teaching - learning in Bangladesh. This study is qualitative in design. Data were collected from students and teachers in the University of Dhaka through semi-structured interview schedule, focused group discussion and classroom observation schedule. The major findings of this study reveal that ICT is not integrated effectively in higher education teaching-learning. Furthermore, several obstacles have been identified that impede the effective integration of ICT. The obstacles are teachers’ lack of knowledge and skills, teachers’ lack of time to take preparations for class, lack of adequate equipment and access to internet and inadequate technical support. It is asserted that proper teachers’ training about integrating ICT in education will be able to change the scenario to a great extent. This study has, therefore, implications for policy developers, teachers and students of various departments. Keywords: ICT, Pedagogy, Social Interaction, Technology, Teaching – learning

MHfit: Mobile Health Data for Predicting Athletics Fitness Using Machine Learning

Mobile phones and other electronic gadgets or devices have aided in collecting data without the need for data entry. This paper will specifically focus on Mobile health data. Mobile health data use mobile devices to gather clinical health data and track patient vitals in real-time. Our study is aimed to give decisions for small or big sports teams on whether one athlete good fit or not for a particular game with the compare several machine learning algorithms to predict human behavior and health using the data collected from mobile devices and sensors placed on patients. In this study, we have obtained the dataset from a similar study done on mhealth. The dataset contains vital signs recordings of ten volunteers from different backgrounds. They had to perform several physical activities with a sensor placed on their bodies. Our study used 5 machine learning algorithms (XGBoost, Naive Bayes, Decision Tree, Random Forest, and Logistic Regression) to analyze and predict human health behavior. XGBoost performed better compared to the other machine learning algorithms and achieved 95.2% accuracy, 99.5% in sensitivity, 99.5% in specificity, and 99.66% in F1 score. Our research indicated a promising future in mhealth being used to predict human behavior and further research and exploration need to be done for it to be available for commercial use specifically in the sports industry.Comment: 6, Accepted by 2nd International Seminar on Machine Learning, Optimization, and Data Science (ISMODE

Optimizing photovoltaic arrays : A tested dataset of newly manufactured PV modules for data-driven analysis and algorithm development

This data article presents a comprehensive dataset comprising experimentally tested characteristics of newly manufactured photovoltaic (PV) modules, which have been collected by using a commercial PV testing system from a solar panel manufacturer company. The PV testing system includes an artificial sunlight simulator to generate input light for the PV and the outputs of the PV are tested by a professional IV tracer in a darkroom environment maintaining IEC60904–9 standard. The dataset encompasses modules with power ratings of 10 W, 85 W, and 247 W, each represented by 40 individual module records. The tested and collected characteristics of each module include open circuit voltage, short circuit current, maximum power point voltage, maximum power point current, maximum power point power, and fill factor. The motivation for this dataset lies in addressing the challenges posed by manufacturing defects and a ± 5 % manufacturing tolerance, which can lead to mismatch power losses in newly installed PV arrays. These losses result in lower current in series strings and lower voltage in parallel branches, ultimately decreasing the array's output power. The dataset serves as a valuable resource for academic research, particularly in the domain of PV array optimization. To facilitate optimization efforts, different algorithms have been explored in the literature. This dataset supports the exploration of these optimization algorithms to find solutions that enhance the position of each module within the array, consequently increasing the overall output power and efficiency of the PV system. The objective is to mitigate mismatch power losses, which, if unaddressed, can contribute to increased degradation rates and early aging of PV modules. This dataset lays the groundwork for addressing critical PV array performance and efficiency issues. In future research, this dataset can be reused to explore and implement optimization algorithms, to improve the overall output power and lifespan of newly installed PV arrays. The smart solution proposed in [1], utilizing a genetic algorithm-based module arrangement, demonstrates promising results for maximizing PV array output power using this dataset

Verification and uniformity control of doses for 90Sr/90Y intravascular brachytherapy sources using radiochromic film dosimetry

Intravascular brachytherapy (IVBT) is a useful treatment modality for the recurrence of in-stent restenosis following drug-eluting stents (DES) or IVBT failure. The objective of this study was to measure the dose rate of 90Sr/90Y IVBT sources for comparison with that given by the manufacturer and to control the dose uniformities of these sources along the source axis. The dose rates of 90Sr/90Y beta sources were measured with a radiochromic film in a custom-made phantom. The films for calibration were irradiated using 60Co photon beams. The results for the three sources were 4.5%, 2.3%, and 3.5% higher than the corresponding certificate values. Maximum and minimum of the dose rates varied within ±10% of those at source center; and maximum dose discrepancy for the first 90Sr/90Y source train was 8.2%; for the second source train, 7.1%; and for the third source train, 5.1%. Our study showed that the dose rates given by the manufacturer for the three 90Sr/90Y IVBT sources were reliable and dose uniformities were within ±10% along two thirds of the treatment length

Verification and uniformity control of doses for Sr-90/ Y-90 intravascular brachytherapy sources using radiochromic film dosimetry

Intravascular brachytherapy (IVBT) is a useful treatment modality for the recurrence of in-stent restenosis following drug-eluting stents (DES) or IVBT failure. The objective of this study was to measure the dose rate of Sr-90/Y-90 IVBT sources for comparison with that given by the manufacturer and to control the dose uniformities of these sources along the source axis. The dose rates of Sr-90/Y-90 beta sources were measured with a radiochromic film in a custom-made phantom. The films for calibration were irradiated using Co-60 photon beams. The results for the three sources were 4.5%, 2.3%, and 3.5% higher than the corresponding certificate values. Maximum and minimum of the dose rates varied within +/- 10% of those at source center; and maximum dose discrepancy for the first Sr-90/Y-90 source train was 8.2%; for the second source train, 7.1%; and for the third source train, 5.1%. Our study showed that the dose rates given by the manufacturer for the three Sr-90/Y-90 IVBT sources were reliable and dose uniformities were within +/- 10% along two thirds of the treatment length

RADIATION PROTECTION FOR ACCOMPANYING PERSON AND RADIATION WORKERS IN PET/CT

The purposes of the present study are to measure the total radiation doses for the radiation workers and for the accompanying person to the patients in positron emission tomography (PET)/computed tomography (CT) imaging. Urines samples from the patients were collected at 43, 62, 87, 117, 238, 362 min after the 555-MBq (18)flour-fluorodeoxyglucose ((18)F-FDG) injection and activities were measured. Dose rates were recorded using a Geiger-Muller counter and the total radiation doses were measured with using an electronic personnel dosemeter. According to the results here, 18.4 % of (18)F-FDG was excreted in the urine in 117 min after injection. At 117th min after injection, dose rates were determined as 345, 220, 140, 50 and 15 mu Sv h(-1), at proposed distances. The radiation doses after 117 min were measured as 3.92 mSv at 0.1 m, 2.11 mSv at 0.25 m and 1.08 mSv at 0.5 m. In conclusion, radiation protection will be sufficient within 2 h after 18F-FDG injection for PET/CT imaging in daily practice

Radiation doses to technologists working with (18)F-FDG in a PET center with high patient capacity

The increasing numbers of PET studies for routine diagnosis creates a real hazard to radiation workers. The aim of this study is to estimate the annual whole-body and finger radiation dose to technologists working with (18)F-FDG in a PET center with high patient potential. In our PET center, the number of PET imaging has increased almost to 5000 studies per year. Our standard dose for tumor imaging is 518 MBq of (18)F-FDG. Five technologists performing all steps of (18)F-FDG imaging (5 patients per technologist in a day) were officially involved round the week for handling and injecting (18)F-FDG to patients. Whole-body and finger dose measurements with TLDs were performed for two different time periods: i) before shielding precautions during the first 6 months (without a shielding for sterile syringe and without a lead container for shielded syringe) and ii) after shielding precautions during the next 6 months (with a shielding for sterile syringe and with a lead container for shielded syringe). The average annual whole-body radiation dose for one technologist before shielding precautions was 7.82 mSv and after shielding precautions was 5.76 mSv. On the other hand, while the average annual finger radiation doses for one technologist before shielding precautions were 210.36 and 293.72 mSv for the left and right hand, after shielding precautions were they 158.16 and 217.58 mSv for the left and right hand, respectively. According to our results, if one technologist performs the whole-body PET imaging of 5 patients per day, the annual radiation dose to this technologist will not exceed the recommended limits by ICRP

Provider performance and facility readiness for managing infections in young infants in primary care facilities in rural Bangladesh.

BackgroundNeonatal infections remain a leading cause of newborn deaths globally. In 2015, WHO issued guidelines for managing possible serious bacterial infection (PSBI) in young infants (0-59 days) using simplified antibiotic regimens when compliance with hospital referral is not feasible. Bangladesh was one of the first countries to adopt WHO's guidelines for implementation. We report results of an implementation research study that assessed facility readiness and provider performance in three rural sub-districts of Bangladesh during August 2015-August 2016.MethodsThis study took place in 19 primary health centers. Facility readiness was assessed using checklists completed by study staff at three time points. To assess provider performance, we extracted data for all infection cases from facility registers and compared providers' diagnosis and treatment against the guidelines. We plotted classification and dosage errors across the study period and superimposed a locally weighted smoothed (LOWESS) curve to analyze changes in performance over time. Focus group discussions (N = 2) and in-depth interviews (N = 28) with providers were conducted to identify barriers and facilitators for facility readiness and provider performance.ResultsAt baseline, none of the facilities had adequate supply of antibiotics. During the 10-month period, 606 sick infants with signs of infection presented at the study facilities. Classification errors were identified in 14.9% (N = 90/606) of records. For infants receiving the first dose(s) of antibiotic treatment (N = 551), dosage errors were identified in 22.9% (N = 126/551) of the records. Distribution of errors varied by facility (35.7% [IQR: 24.7-57.4%]) and infection severity. Errors were highest at the beginning of the study period and decreased over time. Qualitative data suggest errors in early implementation were due to changes in providers' assessment and treatment practices, including confusion about classifying an infant with multiple signs of infection, and some providers' concerns about the efficacy of simplified antibiotic regimens.ConclusionsStrategies to monitor early performance and targeted supports are important for enhancing implementation fidelity when introducing complex guidelines in new settings. Future research should examine providers' assessment of effectiveness of simplified treatment and address misconceptions about superiority of broader spectrum antibiotics for treating community-acquired neonatal infections in this context