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Research ArticleOpen accessIn the keywordsAssessing the Environmental Impacts of Urban Growth Using Land Use/Land Cover, Water Quality and Health Indicators: A Case Study of Arequipa, PeruOswaldo Villena Carpio, Brian D. FathProblem statement: This research assesses the direct effects of urban expansion on land cover/use, river flow, water quality and the indirect effects of these variables in the rate of gastrointestinal disease in people in Arequipa, Peru through the combined use of satellite remote sensing and geographic information systems. Approach: It also uses information about demographic changes, hydrologic data and land … …American Journal of Environmental Sciences, Vol. 7, Issue 2 · 26 May 2011 · 8,741 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOccupational Stress and Family Difficulties of Working WomenMaryam Zarra-Nezhad, Ali Moazami-Goodarzi, Leila Hasannejad, Khadijeh RoushaniProblem statement: Work and family are the two most important aspects in women’s lives. Balancing work and family roles has become a key personal and family issue for many societies. There are many facets in working mother’s lives that subject to stresses. They deal with home and family issues as well as job stress on a daily basis. Imbalance between … …Current Research in Psychology, Vol. 1, Issue 2 · 31 Dec 2010 · 16,107 accessesView PDFCite
Research ArticleOpen accessIn the keywordsGradient 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 keywordsDeduction of Oral Cancer Using Fuzzy Linear RegressionS. Arulchinnappan, K. Karunakaran, G. RajendranProblem statement: To examine the risk factors of oral cancer at the earlier stage. Smoking, chewing, and drinking are the major risk factors which cause oral cancer considered as input variables. Approach: A case – control study was conducted at JKK Nataraj Dental College and Hospital, during the period from September 2007 to November 2009, in Namakkal District, Tamilnadu, India. … …Journal of Computer Science, Vol. 7, Issue 8 · 14 Jul 2011 · 6,851 accessesView PDFCite
Research ArticleOpen accessIn the abstractAlternative Monitoring Approach for IPTVAngel Ignatov, Hristo Toshkov Hristov, Jan Latal et al.IPTV emerged in the late 1990s as a solution for delivering Video on Demand (VoD) and live television over managed networks. Its widespread adoption accelerated after the expansion of broadband internet and the introduction of web technologies such as HTML5 and adaptive streaming protocols (MPEG-DASH and HLS), which enabled television content to be streamed directly through web browsers. Across Europe, … …Journal of Computer Science, Vol. 22, Issue 11 · 8 Oct 2026 · 430 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeterminants of Property Ownership With a Proxy of Land and House Among Scheduled Caste Men in India: Evidence from NFHS-5Riti Deshmukh, Sabina Bano, SakshiIn postmodern societies, social stratification plays an important role in determining access to economic resources, such as property ownership, as seen in many developing countries, like India. Indian culture subtly favours men when it comes to access to resources. For instance, questions arise about whether all men in Indian society are treated equally and have equal access to resources. Very … …Journal of Social Sciences, Vol. 22, Issue 1 · 21 Apr 2026 · 2,790 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Application of the UTAUT Model to Investigate User Acceptance of Facial Recognition Technology in Mobile Banking: A Case Study from ThailandKriangsak Chanthinok, Radyan Dananjoyo, Palan JantarajaturapathThis research examines the determinants affecting consumers' willingness to embrace facial recognition technology for mobile payments in Thailand. Utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT), the study incorporates eight fundamental constructs: Performance expectancy, effort expectancy, social influence, facilitating conditions, perceived ease of use, perceived usefulness, attitude toward use, and intention to utilize facial recognition. Furthermore, demographic … …Journal of Computer Science, Vol. 22, Issue 4 · 16 Apr 2026 · 1,629 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultivariate 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 accessIn the abstractGeneration Z Health Trends: Data Mining of Sleep and Lifestyle PatternsFrancka Sakti Lee, Johanes Fernandes Andry, Kevin Christianto et al.This study analyzes sleep health and lifestyle data among Generation Z using RapidMiner to identify key issues such as insomnia and stress within this demographic. The research is motivated by the increasing concerns surrounding sleep health and lifestyle choices that significantly impact overall well-being. The primary objective is to identify patterns and correlations in health data to inform targeted interventions … …Journal of Computer Science, Vol. 21, Issue 9 · 19 Oct 2025 · 3,632 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis on Prediction of Chronic KidneyDisease by various Machine Learning ModelsNikhil Verma, Tripti Sharma, Bobbinpreet Kaur, Ayush DograChronic Kidney Disease (CKD) is a prevalent global healthconcern, which is affecting a number of people in the whole world. Earlydetection & precise checking of CKD are really important for essentialsupervision & intervention to prevent disease progression and associatedcomplications. Machine learning (ML) models have emerged as favourabletools for CKD detection due to their ability to analyse complex data patternsand provide … …Journal of Computer Science, Vol. 21, Issue 6 · 24 May 2025 · 5,939 accessesView PDFCite