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Research ArticleOpen accessIn the keywordsA Recommendation-Based Contextual Model for Talent AcquisitionChannabasamma A., Yeresime SureshIt is important to assist the job seekers in selecting the perfect jobs, which suit candidates' current skills and career objectives. Given the job description and resumes in the unstructured form, choosing the best job manually is a tedious task, so there is a need for an automated system to deal with raw data. The extraction of structured information from … …Journal of Computer Science, Vol. 18, Issue 7 · 20 Jul 2022 · 6,122 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Role of the Work Environment on the Safety Performance and Safety Management Practices: Its Influence on the Attitudes of Nurses in the Jordanian HospitalsAbdallah Ashour, Zuraida HassanThis study employs an integrated model, combining management practices studies and social theories, to examine the safety management practices and behavioural safety of Jordanian nurses from public hospitals. Our research employs Partial Least Squares (PLS-SEM) regression analysis to test the model. Hedonic value and utilitarian value are proposed as first-order reflective indicators of second-order formative value construct. The role of … …American Journal of Applied Sciences, Vol. 16, Issue 11 · 24 Dec 2019 · 7,607 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA SHORT INTERFERING RNA MOLECULAR BEACON FOR THE ATTENUATION OF MYCOBACTERIAL INFECTIONRemo George, Kathy Nugent, Norman Bolus et al.The ability of the pathogen Mycobacterium Tuberculosis (MTB) to invade and survive within macrophages of granulomas is attributed to the product of the Mammalian Cell Entry (MCE) operon whose gene, mce4A, encodes a cholesterol transporter that transports host lipids into the bacterium that allows the bacterium to survive during chronic infection. Here, we proposed and tested the hypothesis that a … …American Journal of Biochemistry and Biotechnology, Vol. 10, Issue 1 · 4 Mar 2014 · 7,774 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMeasures of Explained Variation and the Base-Rate Problem for Logistic RegressionDinesh Sharma, Dan McGee, B.M. Golam KibriaProblem statement: Logistic regression, perhaps the most frequently used regression model after the General Linear Model (GLM), is extensively used in the field of medical science to analyze prognostic factors in studies of dichotomous outcomes. Unlike the GLM, many different proposals have been made to measure the explained variation in logistic regression analysis. One of the limitations of these measures … …Current Research in Biostatistics, Vol. 2, Issue 1 · 25 Feb 2012 · 8,576 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-FOM: A Unified Multimodal Deep Learning Framework for Intelligent Pre-Harvest Papaya Classification and Crop ValorisationSovers Singh Bisht, Sanjeev Thakur, Sanjeev PanwarIntelligent pre-harvest crop assessment has become an essential component of precision agriculture, where accurate crop quality evaluation enables informed decision-making and sustainable crop management. However, existing multimodal frameworks often exhibit limited data diversity and insufficient cross-modal semantic interaction, reducing the reliability of intelligent crop valorisation. Address these limitations, this paper proposes a Multimodal Focal-Mamba Optimized Valorisation Model (Multi-FOM), a unified … …Journal of Computer Science, Vol. 22, Issue 9 · 24 Sep 2026 · 670 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnchoring Public Health Forecasts: High-Precision Obesity Prevalence Estimation Via Hybrid Geodemographic Ensemble RegressionTrenton Ward, Isaac OsunmakindeObesity remains a major driver of chronic disease and rising healthcare costs in the United States. Yet, most existing predictive models rely on single-model classifiers and rarely incorporate spatial structure or ensemble-based regression, thereby limiting their ability to capture geodemographic variation. This study introduces a hybrid unsupervised–supervised ensemble framework that integrates K-Means spatial profiling with a Stacking Regressor to address … …Journal of Computer Science, Vol. 22, Issue 7 · 31 Jul 2026 · 632 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Sentiment-Aware Hybrid Ensemble Clustering Framework for Social Network Content Analysis and Community DiscoveryDhimesh Pravinbhai Parmar, Paresh TannaSocial media stages produce huge volumes of short, familiar, and sentiment-rich content that offerings significant encounter for community discovery and thematic analysis. Traditional clustering approach struggle with sparsity, noise, and limited surroundings information present in such texts. To address these limitations, this study introduces a sentiment-aware hybrid ensemble clustering framework designed openly for social network content analysis. The planned method … …Journal of Computer Science, Vol. 22, Issue 5 · 26 May 2026 · 1,271 accessesView PDFCite
Research ArticleOpen accessIn the abstractRobust Adversarial Attack Detection via Generative Adversarial Network With Residual Multi-Layer Aggregation Based Contrastive Loss FunctionAmudha Gopalakrishnan, Nalini JosephAdversarial attacks in medical imaging refer to subtle modifications to images that mislead diagnostic systems, resulting in inaccurate diagnoses and assessments. These attacks exploit vulnerabilities in image processing, leading to misclassification or altered visual features that often go unnoticed. This raises serious concerns about the security and reliability of medical diagnosis, directly impacting clinical decision-making and patient safety. This research … …Journal of Computer Science, Vol. 22, Issue 1 · 10 Feb 2026 · 1,742 accessesView PDFCite
Research ArticleOpen accessIn the abstractVirtual Screening of CPP Conjugated Peptide as QcrB BCC Protein Inhibitors of Mycobacterium tuberculosis BacteriaMuhammad Ihsan Muttaqin, Manaman Huang, Usman Sumo Friend TambunanTuberculosis is a global leading cause of death, just below COVID-19 and ranked above HIV. This disease is caused by a pathogen called Mycobacterium tuberculosis, which spreads easily through the air and is known to remain latent in most people's bodies, about a quarter of the world's population. The current problems with TB also include two main concerns: The official … …OnLine Journal of Biological Sciences, Vol. 24, Issue 3 · 14 Mar 2024 · 5,518 accessesView PDFCite
Research ArticleOpen accessIn the abstractFlock Optimization Algorithm-Based Deep Learning Model for Diabetic Disease Detection ImprovementDivager Balasubramaniyan, Nor Azura Husin, Norwati Mustapha et al.Worldwide, 422 million people suffer from diabetic disease, and 1.5 million die yearly. Diabetes is a threat to people who still fail to cure or maintain it, so it is challenging to predict this disease accurately. The existing systems face data over-fitting issues, convergence problems, non-converging optimization complex predictions, and latent and predominant feature extraction. These issues affect the system's … …Journal of Computer Science, Vol. 20, Issue 2 · 8 Jan 2024 · 5,208 accessesView PDFCite