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Research ArticleOpen accessPhrase in the titleOptimization of Rowing Specific Training by Studying the Stages EvaluationSanda T Urichianu, Potop VladimirProblem statement: We intended to analyze and systematize the most valuable ways through which is achieved the optimization in rowing training by the evaluation of control norms, trials and tests during some stages of the training plan. We consider that the sports performances can become better and better thanks to a continuous improvement of the working methodology during the main … …Journal of Social Sciences, Vol. 7, Issue 3 · 18 Jul 2011 · 7,891 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleRelationship of Specific Training Means and Effort Parameters in Performance Weightlifters' TrainingPotop Vladimir, M. V. UlareanuProblem statement: The researchers introduce the contents of specific training means and the reps number during the training micro-cycles along preparatory and competitive period of the performance weightlifters. Approach: This approach has lead to the organization of a study in Olympic team of weightlifting. The scientific argument is the introduction of the content of the means specific to the performance … …Journal of Social Sciences, Vol. 7, Issue 3 · 18 Jul 2011 · 7,266 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvancing Stroke Lesion Segmentation With U-Net Variants: Classical, Transfer Learning, and MRI Sequence-Specific Customized ApproachesSonia Flora Panesar, Amit P. GanatraIschemic stroke, caused by restricted cerebral blood flow, is a leading cause of death and disability worldwide. Accurate segmentation of stroke lesions in MRI is essential for timely diagnosis but remains labor-intensive when done manually. This study presents a comparative evaluation of three U-Net variants for automated ischemic stroke lesion segmentation using the ISLES 2022 dataset: (1) Classical U-Net with … …Journal of Computer Science, Vol. 22, Issue 2 · 27 Feb 2026 · 1,791 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Sense: Deep Learning for Early Staging the Onset of Diabetes Emanating Recognition of Activity PatternsMohammed Shamsul Alam, Erfanul Hoque Bahadur, Md Fokrul Islam Khan et al.This study presents a comprehensive framework for Human Activity Recognition (HAR) using smartphone sensor data, with a specific focus on identifying activities associated with diabetic risk factors. We investigate the efficacy of two deep learning architectures (Long Short-Term Memory (LSTM) networks and Graph Convolutional Networks (GCNs)) for activity recognition under conditions of limited training data. To address data scarcity, we … …Journal of Computer Science, Vol. 21, Issue 10 · 15 Dec 2025 · 2,268 accessesView PDFCite
Research ArticleOpen accessIn the abstractExploring the Knowledge, Recognition and Management of Delirium amongst Nursing Home StaffSusan McGrory, Marie O’Neill, Paul SlaterResearch into nursing knowledge of delirium has revealed a lack of adequate understanding in a variety of settings. The negative impacts of delirium on older adults are well documented and it is recognized that residents of nursing homes are a high-risk group. Little research so far has explored the knowledge of staff and care processes for the management of delirium … …International Journal of Research in Nursing, Vol. 15, Issue 1 · 27 Sep 2024 · 8,121 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomated Terrain Classification with a Bayesian Hyperparameter Optimized Deep Supervised Autoencoder ModelTiny Du Toit, Hennie Kruger, Annette Van Der MerweTerrain classification according to specific terrain attributes, has become increasingly important in certain decision-making scenarios. Automated robots are often utilized to traverse a specific surface to collect data that can be used in classification models to identify a specific terrain. In this study, a supervised autoencoder model (i.e., an autoencoder combined with a supervised learner such as a multilayer perceptron) … …Journal of Computer Science, Vol. 19, Issue 9 · 31 Aug 2023 · 5,019 accessesView PDFCite
Research ArticleOpen accessIn the abstractWhale Optimized Deep Generative Adversarial Network Based Alzheimer's Stages Detection Using 3D MRI Brain NeuroimagingR. Sampath, M. BaskarAlzheimer's Disease (AD), a common, chronic neurodegenerative condition, is characterized by the loss of neurons and synapses in the cerebral cortex and specific subcortical regions. According to claims from a recent study, AD has a 20% misdiagnosis rate. Therefore, it is essential to create a useful tool to recognize the stages of AD with a lower prediction error rate to … …Journal of Computer Science, Vol. 19, Issue 8 · 4 Aug 2023 · 5,544 accessesView PDFCite
Research ArticleOpen accessIn the abstractKnowledge Practice Gap Among Nurses Towards COVID-19 Patients’ Dead Body Care in a Tertiary Care HospitalGirraj Saini, Mahendra Singh, Prasan Kumar Panda et al.COVID-19 due to SARS-CoV-2 is a global pandemic that presents a serious challenge from many angles for healthcare professionals. The virus causes a potentially fatal disease that is easily transmitted among patients and caregivers, hence specific dead body care is required for such patients. Our study was conducted to identify knowledge, attitude, and practice regarding COVID-19 dead body care among … …American Journal of Infectious Diseases, Vol. 19, Issue 1 · 10 Mar 2023 · 5,756 accessesView PDFCite
Literature ReviewOpen accessIn the abstractAgricultural Farmers Training in Nepal: A Review of Social Work PerspectiveSom Nepali, Rajesh TamangSocial workers can mediate in the agricultural process on two crucial levels- first, it can familiarize the local people with the new technologies, information, training, available subsidies, and facilities either by the state or by institutions and organizations, secondly, it can use first-hand knowledge of the condition of the farmers to understand the need of the hour and convey the … …American Journal of Agricultural and Biological Sciences, Vol. 17, Issue 1 · 8 Oct 2022 · 6,040 accessesView PDFCite
Research ArticleOpen accessIn the abstractChronic Lung Disease Identification in Chest CT Scans Through Hybrid Deep Transfer Learning FrameworkGarima Jain, Amit Kumar Goel, Rahul KumarAccurate and timely diagnosis is essential for successful treatment of chronic pulmonary conditions, particularly lung tumours. To capture more complicated pathological characteristics, diagnostic algorithms based on current data sets are restricted to using older databases and single branch systems. This research introduces a new solution: A hybrid deep learning model applied to a recently released quantitative database of CT scans … …Journal of Computer Science, Vol. 22, Issue 8 · 9 Sep 2026 · 651 accessesView PDFCite