Low-Birth-Weight among Term Newborns Born to Anaemic Pregnant Women Admitted to the Department of Obstetrics and Gynecology in a Tertiary Care Centre.

Introduction: Anaemia is one of the most common conditions which affects a significant proportion of pregnant women worldwide. These patients may have adverse effects on both the mother and the developing fetus. Detecting and timely treating anaemia in pregnancy help in the overall improvement of maternal and fetal health. The aim of the study was to find out the prevalence of low-birth-weight among term newborns born to anaemic pregnant women admitted to the Department of Obstetrics and Gynecology in a tertiary care centre. Methods: A descriptive cross-sectional study was conducted among pregnant women who were diagnosed with anaemia and admitted for delivery in the Department of Obstetrics and Gynecology after obtaining ethical approval from the Institutional Review Committee. Data was collected from 10 December 2022 to 10 March 2023. Convenience sampling method was used. The point estimate was calculated at a 95% Confidence Interval. Results: Among 300 newborns, the prevalence of low-birth-weight was 106 (35.33%) (29.92-40.74, 95% Confidence Interval). Among 106 newborn, 64 (60.37%) were male and 42 (39.62%) were female. Conclusions: The prevalence of low-birth-weight among newborns born to term anaemic pregnant women admitted to the Department of Obstetrics and Gynecology in a tertiary care centre was found to be higher than in studies done in a similar settings. Keywords: anaemia; infant; low birth weight; morbidity; pregnancy.

Computer vision syndrome, musculoskeletal, and stress-related problems among visual display terminal users in Nepal.

BACKGROUND: The use of computers and other Visual Display Terminal (VDT) screens is increasing in Nepal. However, there is a paucity of evidence on the prevalence of Computer Vision Syndrome (CVS) and other occupational health concerns among employees working in front of VDT screens in the Nepalese population. OBJECTIVES: This study aims to estimate the prevalence of CVS, musculoskeletal and work-related stress among VDT screen users in the office, as well as their understanding and usage of preventive measures. METHODS: The study was a cross-sectional descriptive study among 319 VDT users in office settings in Kathmandu Metropolitan City, Nepal, using a semi-structured self-administered questionnaire. Multivariate logistic regression analysis was conducted to identify the associated factors at 95% CI. P-value <0.05 was considered as statistically significant. RESULTS: The prevalence of CVS was 89.4%. More than eight out of ten study participants reported at least one visual and musculoskeletal symptom. Work-related stress, which was moderate-difficult to handle, was present in 36.7% of the study population. The mean±SD computer usage per day was 7.9±1.9 hours. Tired eye (63.3%), feeling of dry eye (57.8%), headache (56.9%) were the common visual symptoms of CVS reported. Total computer use/day > = 8 hours OR 2.6, improper viewing distance OR 3.2, Not using an anti-glare screen OR 2.6, not using eye-drops, and not wearing protective goggles OR 3.1 were significantly associated with the presence of CVS. There was no statistically significant association between visual symptoms of CVS, musculoskeletal symptoms, and stress with gender. CONCLUSION: CVS was substantially related to not employing preventive measures, working longer hours, and having an incorrect viewing distance. With more hours per day spent in front of a VDT screen, work-related stress and musculoskeletal complaints were also found to be important correlates. Similarly, work-related stress was found more among those who had less than five years of job.

BanglaSER: A speech emotion recognition dataset for the Bangla language.

The speech emotion recognition system determines a speaker's emotional state by analyzing his/her speech audio signal. It is an essential at the same time a challenging task in human-computer interaction systems and is one of the most demanding areas of research using artificial intelligence and deep machine learning architectures. Despite being the world's seventh most widely spoken language, Bangla is still classified as one of the low-resource languages for speech emotion recognition tasks because of inadequate availability of data. There is an apparent lack of speech emotion recognition dataset to perform this type of research in Bangla language. This article presents a Bangla language-based emotional speech-audio recognition dataset to address this problem. BanglaSER is a Bangla language-based speech emotion recognition dataset. It consists of speech-audio data of 34 participating speakers from diverse age groups between 19 and 47 years, with a balanced 17 male and 17 female nonprofessional participating actors. This dataset contains 1467 Bangla speech-audio recordings of five rudimentary human emotional states, namely angry, happy, neutral, sad, and surprise. Three trials are conducted for each emotional state. Hence, the total number of recordings involves 3 statements × 3 repetitions × 4 emotional states (angry, happy, sad, and surprise) × 34 participating speakers = 1224 recordings + 3 statements × 3 repetitions × 1 emotional state (neutral) × 27 participating speakers = 243 recordings, resulting in a total number of recordings of 1467. BanglaSER dataset is created by recording speech-audios through smartphones, and laptops, having a balanced number of recordings in each category with evenly distributed participating male and female actors, and would serve as an essential training dataset for the Bangla speech emotion recognition model in terms of generalization. BanglaSER is compatible with various deep learning architectures such as Convolutional neural networks, Long short-term memory, Gated recurrent unit, Transformer, etc. The dataset is available at https://data.mendeley.com/datasets/t9h6p943xy/5 and can be used for research purposes.

Study of the impact of a telemedicine service in improving pre-hospital care and referrals to a tertiary care university hospital in Nepal.

Background: Telemedicine is a process which involve medical experts to exchange valid information for diagnosis, clinical management, treatment and counseling for both healthcare workers and patients remotely in rural setting from urban healthcare center. Providing quality healthcare services in Nepal is challenging due to many reasons such as difficult geographic terrain, limited availability of funding and many other issues. Methods: The study design was a cross sectional and will adopt an interpretative case study approach which supports the researcher to develop a deep insight in to study phenomenon and outcomes. Study was conducted at in two rural-telemedicine programme implementation sites, namely Patle, Fikkal Bazaar and one central consultation site BPKIHS Dharan. Result: A total of 315 patients were undergone teleconsultation process during the study period. The total patients consulted after teleconsultation program in each of center were 1386 (Phikal) and 508 (Patle). Among them 205 (Phikal) and 110 (Patle) were called on the teleconsultation day. Among the patients who were seen via teleconsultation, 36 (2.6 %) from Phikal and 22 (4.3%) from Patle were referred to BPKIHS. The total number of referred patient from those center to other center were 327(Phikal) and 208 (Patle) among those referred 205 (Phikal) and 110 (Patle) came during teleconsultation Process. Conclusion: Telemedicine can be used as a critical component in the solution of the healthcare crisis. Telemedicine will be the best as a substitute to improve the access to healthcare, to provide the healthcare cost-effectively. The current paradigm of care can be taken by telemedicine due to which improved health outcomes can be achieved in cost effective Ways.