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920 articles for “Risk”
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Research ArticleOpen accessEvery word in the titleA Dynamically Zero Trust and Risk Aware Cryptographic Orchestration Framework of Secure Multi Cloud Electronic Health RecordsD. Veerabhadra Rao, G. Appa Rao, S. AnuradhaThe adoption of multi-cloud infrastructures for Electronic Health Records (EHRs) improves scalability and accessibility but introduces security challenges such as fragmented trust management, high cryptographic overhead, and inefficient integrity verification. Existing frameworks rely on static authorization and uniform encryption mechanisms, which fail to dynamically evaluate behavioural risks associated with user access requests. Consequently, Distributed Trust Inconsistency, Cryptographic Scalability Saturation, and … …Journal of Computer Science, Vol. 22, Issue 10 · 7 Oct 2026 · 453 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAutomobile Spray Paint Dust and Human Health: A Multi-Site Environmental Health Risk Assessment of Carcinogenic and Non-Carcinogenic Effects in South-Eastern NigeriaAdindu Ihuoma Blossom, Ubouh Emmanuel Attah, Obasi Kalu Omokorie, Raimi Morufu OlalekanInformal automobile spray-painting operations release metal-laden dust, posing occupational and residential health risks. Seasonal variations, receptor-specific exposure, and metal composition influence non-carcinogenic and carcinogenic hazards, yet data from South-Eastern Nigeria remain limited. This study quantified heavy-metal exposure in automobile spray-paint dust, assessed receptor-specific non-carcinogenic (HI) and carcinogenic (ILCR) risks, examined seasonal and metal-specific trends, and evaluated source attribution to inform … …American Journal of Environmental Sciences, Vol. 22, Issue 1 · 22 Jun 2026 · 1,555 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHybrid Soft Voting Ensemble of XGBoost and DNN for At-Risk Student Performance PredictionEugene Wan, Po Chan Chiu, Mohammad bin Hossin et al.Early identification of at-risk students in higher education is important for timely academic intervention, yet conventional prediction methods often struggle with data imbalance and limited model precision. This study proposes a hybrid soft voting ensemble model that integrates Extreme Gradient Boosting (XGBoost) and Deep Neural Network (DNN) to enhance multi-class student grade prediction (A-F classification) and at-risk student identification. This … …Journal of Computer Science, Vol. 22, Issue 5 · 28 May 2026 · 1,390 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMultivariate Analysis of Gestational Diabetes Risk Factors in a North African Population: A Call for Targeted Maternal Health InterventionsHafssa Abdellaoui, Nadia Ouzennou, Adnane Hakem, Samia RkhaGestational Diabetes (GD) is a multifactorial condition influenced by demographic, anthropometric and obstetric determinants. Identifying predictive factors is essential to anticipate the disorder, guide prevention strategies and reduce maternal and neonatal complications. To assess the risk factors associated with GDM in pregnant women in the Marrakech-Safi region, in order to fill a gap in national data. A retrospective cross-sectional study … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 10 May 2026 · 1,531 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRisk Factors for Bovine Tuberculosis Transmission in Burkina Faso’s Cattle HerdsArouna Zoungrana, Pingdwende Albert Patrick Vokouma, Badjibassa Akounda et al.Bovine tuberculosis is a zoonotic disease, primarily caused by Mycobacterium bovis, that poses a serious threat to both human and animal health. Understanding the risk factors that contribute to its spread is critical for developing effective prevention and control strategies. This cross-sectional study investigated risk factors associated with bovine tuberculosis in cattle herds in Burkina Faso. A structured survey questionnaire … …American Journal of Animal and Veterinary Sciences, Vol. 21, Issue 1 · 11 Apr 2026 · 1,402 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRisk Assessment of Healthcare Information Systems in Indonesian Regional Government Hospitals Using ISO 27001:2022Deo Alif Alfitrah, Nilo LeegowoThe growing number of cyber-attacks targeting the healthcare sector, particularly Indonesian regional government hospitals, reflects the absence of a structured information security management system. Issues such as shared account usage, lack of staff security training, and undocumented incident reporting present serious risks to patient data. This study aims to assess the current state of information security in a government hospital … …Journal of Computer Science, Vol. 22, Issue 3 · 13 Mar 2026 · 2,416 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEvaluation of Heavy Metals in Gadus morhua and the Associated Cancer RisksKayode Idowu Ogungbemi, Margaret Bose Adedokun, Josephine Nneamaka Onyeka-UbakaGadus morhua is a good protein source but some methods of its preservation can be a source of heavy metals contamination. Gadus morhua samples were collected from nine major markets for the identification and quantification of heavy metals. An Atomic Absorption Spectrophotometer (AAS) from an analytical and consultancy laboratory in the Department of Soil Resources Management, University of Ibadan was … …American Journal of Environmental Sciences, Vol. 20, Issue 1 · 2 Jan 2025 · 5,022 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleStroke Risk Assessment with Classical ML MethodsMohammad Aref Alshraideh, Najwan Alshraideh, Abedalrahman Alshraideh et al.Stroke, often caused by a disruption in the supply of essential oxygen, blood, and nutrients to the brain, represents a significant global health challenge. Due to limited resources, developing countries like Ethiopia face unique obstacles in identifying and treating strokes. This study explores the potential of Machine Learning (ML) techniques to predict stroke risk and facilitate early detection and intervention. … …Journal of Computer Science, Vol. 21, Issue 1 · 18 Dec 2024 · 4,649 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGradient 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 accessEvery word in the titleSuicide Ideation and Risk Detection from Social Media Using GPT ModelsSara Lasri, El Habib Nfaoui, Karima MrizikAs a reason for the sensitiveness of suicide ideation and its considerable impact on people's lives, the demand to treat and prevent the suicide ideation issue has become an obligation. Suicide ideation is a result of a combination of psychological pain and hopelessness. According to the World Health Organization, the task of reducing the global suicide mortality rate is a … …Journal of Computer Science, Vol. 20, Issue 10 · 26 Aug 2024 · 5,704 accessesView PDFCite