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rabindra.tharu.np@gmail.com
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Bibliometric analysis of publications that cited the CIOMS 2016 “International ethical guidelines for health-related research involving humans”
The CIOMS book “International Ethical Guidelines for Health-related Research Involving Humans”, published in 2016 (IEG2016), provides information to assist research ethics committee members and research practitioners with pragmatically implementing ethical considerations while planning and conducting their research. To identify which aspects of research IEG2016 has had the greatest impact since its publication, we analyzed metadata…
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rabindra.tharu.np@gmail.com
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Valorization of hydro-distillate of fruit peels of Citrus paradisi macfad. Cultivar. Foster: Chemical profiling, antioxidant evaluation and in vitro and in silico enzyme inhibition studies
The major commercial crops in Pakistan are citrus fruit trees, which are farmed extensively and serve as the country’s principal source of foreign exchange. A local citrus plant, , variety Foster is famous for its valuable fruit and fruit juice, however, tons of peels of this fruit are thrown as waste, which otherwise can be…
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rabindra.tharu.np@gmail.com
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Extracellular vesicles for the treatment of ulcerative colitis: A systematic review and meta-analysis of animal studies
BACKGROUND Extracellular vesicles (EVs) are being considered as a potential therapeutic option for ulcerative colitis (UC), and numerous preclinical studies have been conducted on the use of EVs for UC. METHODS A systematic review was conducted to compare the therapeutic effects of mammalian EVs and placebo on UC in animal models, along with a meta-analysis…
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rabindra.tharu.np@gmail.com
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Cataract and glaucoma detection based on Transfer Learning using MobileNet
A serious eye condition called cataracts can cause blindness. Early and accurate cataract detection is the most effective method for reducing risk and averting blindness. The optic nerve head is harmed by the neurodegenerative condition known as glaucoma. Machine learning and deep learning systems for glaucoma and cataract detection have recently received much attention in…
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rabindra.tharu.np@gmail.com
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Remaining useful life prediction of Lithium-ion batteries using spatio-temporal multimodal attention networks
Lithium-ion batteries are widely used in various applications, including electric vehicles and renewable energy storage. The prediction of the remaining useful life (RUL) of batteries is crucial for ensuring reliable and efficient operation, as well as reducing maintenance costs. However, determining the life cycle of batteries in real-world scenarios is challenging, and existing methods have…
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rabindra.tharu.np@gmail.com
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Prognostic significance of non-coding RNAs related to the tumorigenic epithelial-mesenchymal transition (EMT) process among ovarian cancer patients: A systematic review and meta-analysis
INTRODUCTION Ovarian cancer is the seventh most prevalent cancer among women. It has high mortality and morbidity and imposes a great burden on healthcare systems worldwide. Unraveling the mechanisms behind the Epithelial-Mesenchymal Transition and finding a panel for predicting the prognosis of the disease may help find the appropriate treatment approaches for the management of…
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rabindra.tharu.np@gmail.com
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Variation in nurses’ compliance with an Early Warning Score protocol: A retrospective cohort study
INTRODUCTION Early Warning Score (EWS) protocols are based on intermittent vital sign measurements, and aim to detect clinical deterioration in a timely manner. Despite its predictive value, its effectiveness remains suboptimal. An important limitation appears to be poor compliance with the EWS protocol and its variation between general wards. The current research does not yet…
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rabindra.tharu.np@gmail.com
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Memory type general class of estimators for population variance under simple random sampling
With an emphasis on memory-type approaches, this study presents a class of estimators specifically designed for estimating population variation in simple random sampling (SRS). The term ‘memory-type’ pertaining to the use of exponentially weighted moving averages (EWMA) statistic for the estimation, which utilizes the current and past information in temporal surveys. The study provides expressions…
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rabindra.tharu.np@gmail.com
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Performance analysis of deep learning-based electric load forecasting model with particle swarm optimization
With the widespread application of deep learning technology in various fields, power load forecasting, as an important link in power system operation and planning, has also ushered in new opportunities and challenges. Traditional forecasting methods perform poorly when faced with the high uncertainty and complexity of power loads. In view of this, this paper proposes…
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rabindra.tharu.np@gmail.com
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An improved grey wolf optimization algorithm based on scale-free network topology
The grey wolf optimizer is a novel intelligent optimization algorithm that has become popular due to its low number of parameters, fast convergence speed, and simplicity. However, the classical algorithm, with its update strategy allowing wolves to learn only from the alpha wolves, often leads to premature convergence and lower convergence accuracy. Therefore, in this…
