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

282 results for “Risk Factor”

Set a search alert
Research ArticleOpen accessIn the keywordsComparability Assessment of Polycyclic Aromatic Hydrocarbons Tissue Load in Some Fish: Implication on Reciprocal Synergism and Risk AssessmentVictor Eshu Okpashi, Ogugua Victor Nwadiogbu, Joshua Parkar Elijah et al.Six years after oil spill occur in Qua Ibeo river, environmental monitoring was set out to investigate residual petroleum compounds (PHCs) that are bio-accumulated by fish. Bio-concentration of residual Polycyclic Aromatic Hydrocarbons (PAHs) in fish tissues was determined in six fresh fish species. Twelve water samples were collected from Qua Ibeo river 1 KM apart. The screening was conducted using … …American Journal of Environmental Sciences, Vol. 13, Issue 2 · 12 Apr 2017 · 7,543 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA COMPARISON OF STEPWISE AND FUZZY MULTIPLE REGRESSION ANALYSIS TECHNIQUES FOR MANAGING SOFTWARE PROJECT RISKS: ANALYSIS PHASEAbdelrafe Elzamly, Burairah HussinRisk is not always avoidable, but it is controllable. The aim of this study is to identify whether those techniques are effective in reducing software failure. This motivates the authors to continue the effort to enrich the managing software project risks with consider mining and quantitative approach with large data set. In this study, two new techniques are introduced namely … …Journal of Computer Science, Vol. 10, Issue 9 · 22 Apr 2014 · 7,294 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSex, Health Behaviors and Social Support: Functional Decline among Older DiabeticsEmily Joy NicklettProblem statement: Men and women experience pronounced differences in functional decline as they age. The mechanisms behind these differences remain unclear, particularly among chronically ill populations. Drawing on the theory of the disablement process, this research examines sex differences in functional decline, focusing on two mechanisms suggested by the literature to partially mediate these disparities: health behaviors and social support. … …Current Research in Medicine, Vol. 3, Issue 2 · 19 May 2012 · 8,048 accessesView PDFCite
Research ArticleOpen accessIn the abstractsuPAR as an Inflammatory and Preclinical Atherosclerotic Marker in Hypovitaminosis DShravan Ajith Panchwadkar, Sudha Kuthethur, Neelam Manjunath Pawar et al.The mechanistic link between inflammation and atherosclerosis highlights the critical role of immune modulation in cardiovascular disease. The soluble urokinase plasminogen activator receptor (suPAR), an immune-derived factor, has recently emerged as a non-specific inflammatory marker across chronic diseases and infections. All cells within the atherosclerotic arterial wall can express uPAR and release urokinase, which plays a key role in the … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 30 Mar 2026 · 1,126 accessesView PDFCite
Literature ReviewOpen accessIn the abstractCorrelation of Atherosclerosis and Osteoarthritis, the Role of Inflammation in the Pathogenesis of Osteoarthritis and AtherosclerosisAnastasia V. Poznyak, Nikolay A. Orekhov, Aleksandra Sergeevna Utkina et al.Cardiovascular Diseases (CVD) rank among the leading causes of death globally, accounting for a substantial proportion of mortality rates and affecting millions of individuals. Risk factors such as ageing, obesity, diabetes and a sedentary lifestyle contribute significantly to the prevalence of CVD. Osteoarthritis (OA), on the other hand, is one of the most common joint disorders, affecting a large segment … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 15 Feb 2026 · 1,777 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 · 2,275 accessesView PDFCite
Research ArticleOpen accessIn the abstractPost-COVID Impact Analysis and Effective Recommendation Solutions Over Risk Prediction Using Hybrid ModelBoddeti Jaggan Mohan Ravi Kumar, P. V. G. D. Prasad Reddy, G SrinivasThe COVID-19 pandemic (2019-2022) resulted in significant global mortality, largely attributed to the virus's unpredictable pathophysiology, rapid disease progression affecting multiple organ systems, and initial lack of effective treatments. This study systematically examines post-COVID-19 complications across major organ systems, including respiratory dysfunction, cardiovascular complications, renal disorders, musculoskeletal pain, gastrointestinal disturbances, neurological sequelae, alopecia, endocrine and metabolic dysregulation, and mental health … …Journal of Computer Science, Vol. 21, Issue 11 · 23 Dec 2025 · 1,650 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Sled Dog Model for Positive Health Effects of Weight Management and ExerciseLaura Falkenstein, Scott Jerome et al.Obesity is a significant risk factor for metabolic syndrome and type II diabetes. Physical activity and/or dietary modification can reduce the incidence of obesity. Marginal fitness levels limit the efficacy of exercise training, and most humans choose from a wide range of dietary strategies to lose weight. Despite these limitations, exercise in the absence of weight loss may offer protective … …American Journal of Biochemistry and Biotechnology, Vol. 19, Issue 1 · 23 Feb 2023 · 6,155 accessesView PDFCite
Review ArticleOpen accessIn the abstractThe Impact of Di-2-Ethylhexyl Phthalate (DEHP) in Focus on the Reproductive System and Toxicity in Rat or Mammalian ModelVenkataramanaiah Poli, Srinivasulu Reddy MotireddyAbsalan, F., Saremy, S., Mansouri, E., Moghadam, M. T., Moghadam, A. R. E., & Razie, G. (2016). Effects of Mono-(2-Ethylhexyl) Phthalate and Di-(2-Ethylhexyl) Phthalate Administrations on Oocyte Meiotic Maturation, Apoptosis and Gene Quantification in Mouse Model. Cell Journal, 18(4), 503–513. https://doi.org/10.22074/cellj.2016.4717 Acevedo‐Rodriguez, A., Kauffman, A. S., Cherrington, B. D., Borges, C. S., Roepke, T. A., & Laconi, M. (2018). Emerging … …American Journal of Pharmacology and Toxicology, Vol. 19, Issue 1 · 6 Jun 2024 · 13,008 accessesView PDFCite
Literature ReviewOpen accessIn the abstractAtherosclerosis and Alzheimer’s Disease Interconnection: Inflammation, Aβ and MoreAnastasia Vladimirovna Poznyak, Victoria Khotina, Roghayyeh Vakili-Ghartavol et al.Despite being the leading cause of CVD and cardiovascular mortality globally, Atherosclerosis (ATH) remains underdiagnosed and undertreated. The reasons behind Alzheimer’s Disease (AD) also remain unclear and there is currently no cure for it. At present, at least 55 million people are believed to be suffering from the disorder and the figures are expected to grow. At the same time, … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 26 May 2024 · 4,764 accessesView PDFCite