Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

152 results for “effective factors”

Set a search alert
Research ArticleOpen accessIn the abstractFactors Associated with Irrational Use of Antibiotics. A Cross-Sectional Study in the City of Marrakech MoroccoNaima Aoutil, Mohamed Cherkaoui, Mohamed BouskraouiOveruse and inappropriate use of antibioticsleads to the emergence of antibiotic-resistant bacteria. This resistance leadsto longer hospital stays, higher medical costs, and increased mortality. Therefore,its control must be a priority as it poses a threat to all nations, regardlessof their territory and economic status.In Marrakech too, antibioticresistance is a real public health problem, limiting treatment options. Thepopulation plays a crucial … …OnLine Journal of Biological Sciences, Vol. 25, Issue 1 · 6 Feb 2025 · 4,539 accessesView PDFCite
Research ArticleOpen accessIn the abstractFactors Influencing the Adoption of Cloud Computing for Thai SME BusinessesArisaphat Suttidee, Charuay SavithiThis study investigates the various factors affecting the adoption of cloud computing in Thai SMEs by evaluating and contrasting the significance of these adoption factors. A comprehensive sample consisting of 384 SMEs from Northeast Thailand participated in the study by responding to detailed questionnaires that were designed for robust data collection. We employ various statistical approaches, including T and F … …Journal of Computer Science, Vol. 21, Issue 2 · 5 Jan 2025 · 7,294 accessesView PDFCite
Research ArticleOpen accessIn the abstractGradient Boosting for Heart Stroke Prediction: Investigating Unexpected Risk FactorsAniket Kailas Shahade, Priyanka V. DeshmukhHeart stroke prediction is a critical area in healthcare, aiming to identify individuals at risk and provide timely intervention. This research leverages machine learning algorithms, including Decision Tree, Random Forest, AdaBoost, and Gradient Boost, to predict the likelihood of stroke, with Gradient Boosting delivering the most accurate results. Our analysis uncovers intriguing and unexpected relationships between stroke risk and various … …Journal of Computer Science, Vol. 21, Issue 1 · 16 Dec 2024 · 4,939 accessesView PDFCite
Research ArticleOpen accessIn the abstractFramework for the Development and Governance of Strategies Promoting Sustainable Economic GrowthMhamed Serdaoui, Mounia CherkaouiDespite the increasing emphasis on sustainable economic growth, current literature reveals significant fragmentation in approaches and frameworks, often addressing only individual aspects such as environmental, social, governance, economic, or digital factors without integrating them into a cohesive strategy. This lack of a unified framework contributes to the ambiguity and challenges in formulating and implementing effective sustainable economic growth strategies. To … …Journal of Computer Science, Vol. 20, Issue 12 · 21 Nov 2024 · 4,546 accessesView PDFCite
Research ArticleOpen accessIn the abstractFramework for the Adaptive Learning of Higher Education Students in Virtual Classes in Peru Using CRISP-DM and Machine LearningMaryori Bautista, Sebastian Alfaro, Lenis WongDuring the COVID-19 pandemic, virtual education played a significant role around the world. In post-pandemic Peru, higher education institutions did not entirely dismiss the online education modality. However, this virtual education system maintains a traditional teaching-learning model, where all students receive the same content material and are expected to learn in the same way; as a result, it has not … …Journal of Computer Science, Vol. 20, Issue 5 · 26 Feb 2024 · 5,885 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Dam Safety and Management: Long Short-Term Memory Based Predictive Models for Accurate Alert ForecastingNisha C. M, N. ThangarasuDam management and early alert systems are critical for effective water resource management. Accurate prediction of dam alert signals facilitates proactive decision-making, thereby aiding in the effective management and reduction of potential risks linked to dam operations. Within this research, Long Short-Term Memory (LSTM) networks are utilized to forecast dam alert signals issued from the dam by leveraging daily parameters, … …Journal of Computer Science, Vol. 22, Issue 1 · 6 Feb 2026 · 1,626 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementing a Hybrid VMD–BiTCN–BiGRU Architecture With Intelligent Optimization for Agricultural Commodity Price Prognostication in Gujarat MarketsJignesh Hirapara, Ratnesh Kumar Namdeo, Ankit Kumar Dubey et al.In the agricultural sector, the prices of pulses require adequate forecasting to plan farming activities, store and market, and guide policy-making. However, the pulse price series is highly volatile, seasonal, nonstationary, and nonlinear, and thus conventional linear time series models are not necessarily very effective. In the suggested framework, the raw price data series is decomposed using Variational Mode Decomposition … …Journal of Computer Science, Vol. 22, Issue 7 · 1 Aug 2026 · 1,021 accessesView PDFCite
Research ArticleOpen accessIn the abstractExploring the Relationship Between Skin Barrier Function, Sensitivity, and Repair MechanismsXiaoqing Yan, Yusong Shi, Jiguang YangFor healthy skin, the skin's barrier function must remain maintained. Many different molecular while immunological signaling mechanisms are involved in skin barrier control. The control of a healthy skin barrier, particularly acid mantle maintenance and proper amounts of ceramides, may help dermatologists develop remedies for skin barrier disruption disorders. In contrast, new medicines could focus on signaling pathways to offer … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 15 Feb 2026 · 1,893 accessesView PDFCite
Research ArticleOpen accessIn the abstractCardiovascular Disease Prediction using Various Machine Learning AlgorithmsDebabrata Swain, Badal Parmar, Hansal Shah et al.Almostone-third of all deaths caused around the world were caused due tocardiovascular diseases. Even if death was not the result, much cost isincurred during the treatment of such diseases. But much of these deaths andtreatments could have been prevented with prior action. Advance knowledge ofthe symptoms and consequently proper care can lead us to avoid such diseases.Thus, current research proposes … …Journal of Computer Science, Vol. 18, Issue 10 · 13 Oct 2022 · 9,394 accessesView PDFCite
Research ArticleOpen accessIn the abstractNurses’ Perception of Management Styles and Factors Influencing Retention of Nurses in Ghana: A Cross-Sectional SurveyAugustine Kumah, Hillary Selassi Nutakor, Godwin Gideon Kwaku Dorvlo et al.Retention of health professionals in the health sector in Ghana is crucial to address the human resource needs of the health sector and to promote an efficient and effective healthcare system. Nurses are one of the key professionals whose role in the healthcare industry cannot be underestimated. This study assessed nurses’ perception of management styles and factors influencing the retention … …American Journal of Economics and Business Administration, Vol. 14, Issue 1 · 2 Apr 2022 · 7,669 accessesView PDFCite