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108 results for “class time”
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Research ArticleOpen accessIn the abstractAI-Guided Anatomical Landmark and Abnormality Detection for Autonomous Endoscopy ExaminationMd Shakhawat Hossain, Munim Ahmed et al.Aabakken, L., Barkun, A. N., Cotton, P. B., Fedorov, E., Fujino, M. A., Ivanova, E., Kudo, S., Kuznetzov, K., De Lange, T., Matsuda, K., Moine, O., Rembacken, B., Rey, J., Romagnuolo, J., Rösch, T., Sawhney, M., Yao, K., & Waye, J. D. (2014). Standardized endoscopic reporting. Journal of Gastroenterology and Hepatology, 29(2), 234–240. https://doi.org/10.1111/jgh.12489 Aliyi, S., Dese, K., & Raj, … …Journal of Computer Science, Vol. 20, Issue 8 · 29 May 2024 · 6,783 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrompt-Based Data Augmentation with Large Language Models for Indonesian Gender-Based Hate Speech DetectionMuhammad Amien Ibrahim, Faisal, Zefanya Delvin Sulistiya, Tora Sangputra Yopie WinartoThe increasing amount of content on social media content makes the use of automatic moderation crucial for preserving a healthy online community and reducing the spread of offensive and abusive content, such as hate speech based on gender. Developing automated social media moderation using machine learning demands a large and balanced dataset. However, difficulties such as data scarcity and class … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,881 accessesView PDFCite
Research ArticleOpen accessIn the abstractOrdinal Logistic Regression Analysis in Effective Teaching PracticesHongwei WangThe Association of College and University Educators (ACUE) course in effective teaching practices has been applied to an undergraduate mathematics class at Texas A and M International University (TAMIU) for the past two years (Spring 2022, Fall 2022 and Spring 2023). Practices such as ensuring equitable access to learning, embracing diversity in the classroom, providing useful feedback and teaching powerful … …Journal of Mathematics and Statistics, Vol. 20, Issue 1 · 13 Feb 2024 · 6,056 accessesView PDFCite
Research ArticleOpen accessIn the abstractMental Health Patterns of Young Children of Unmarried Parents: A Latent Class AnalysisThuy Dang, Denisse Avila, Eunice LeeDespite a considerable number of accounts on the emotional health and development of young children in single-parent, divorced, cohabiting families, patterns of emotional well-being that exist among young children living with unmarried parents and which patterns most children of this group exhibit have remained unknown. Further, racial differences and families' social economic status have been empirically documented as influential factors … …Journal of Social Sciences, Vol. 19, Issue 1 · 19 Jul 2023 · 6,827 accessesView PDFCite
Research ArticleOpen accessIn the abstractWhat Factors Determine Family Spending on Education in India and Does it Vary Across Well-Being Measures?Geetha Rani PrakasamThe present paper estimates the drivers of family spending on education across economic groups. The questions that are explored include: (i) Does family spending on education vary across economic groups and over time? (ii) The subsidiary question is to understand the gender bias in education spending across these groups. As a corollary to this, at which levels of education and … …Journal of Social Sciences, Vol. 19, Issue 1 · 16 May 2023 · 6,524 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn a Proof of Inequality of PvsNPAngelo Raffaele MeoThis study is a new version of a previous paper. Its purpose is to simplify some sections of the old version and, above all, to present the proofs of some theorems which had been omitted for the sake of brevity. The analysis discussed in this study and its previous version is based on a well-known NP-complete problem which is called … …Journal of Computer Science, Vol. 19, Issue 1 · 16 Jan 2023 · 7,531 accessesView PDFCite
Research ArticleOpen accessIn the abstractDiscovery of a New Thermostable Chitinase from Streptomyces No. 6Xiaowen Que, Yonghong Bao, Qing Liu et al.Chitinases are a class of hydrolases that hydrolyze the β-1, 4-glycosidic bonds between N-acetyl-D-glucosamine (GlcNAc) in chitin. Among chitinases, thermophilic chitinases and thermostable chitinases have received extensive attention in recent years due to their ability to tolerate higher temperatures and maintain enzyme stability for a longer period of time. However, it has previously been observed that not all chitinases are … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 3 · 1 Aug 2024 · 5,115 accessesView PDFCite
Research ArticleOpen accessIn the abstractJoint Modelling of Longitudinal-Time-To-Event with Categorical Variable Indicators of Latent Classes: Application to Tuberculosis DataAdeboye Azeez, Mutambayi Ruffin, Ndege James, Qin YongsongIn many clinical and reliability research reports, the outcomes of basic interest is the time to a particular event happens in order to indicate the person’s “true” state of health or survival status. Different models have been used to analyze such data separately, but may be unsuitable if the longitudinal and health status measures are correlated. In this study, mixed … …Journal of Mathematics and Statistics, Vol. 16, Issue 1 · 9 Jun 2020 · 6,686 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Comprehensive Review of Post-Quantum Cryptography AlgorithmsSamandeep Kaur, Jaswinder SinghThe development of quantum computing has been rapid, and an existential threat to computational hardness assumptions that underlie today's public-key cryptography has been encountered. This manuscript is a complete and thoroughly organized review of Post-Quantum Cryptography (PQC), discussing the mathematical concepts, complexity, and mechanisms of the algorithms that underpin quantum-safe security infrastructures. Rather than the principles of quantum mechanics, the … …Journal of Computer Science, Vol. 22, Issue 9 · 25 Sep 2026 · 723 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredictive Mathematical Modeling and Classification of Retail Sales Orders Using AI Machine Learning TechniquesMohammad Subhi Al-Batah, Mowafaq Salem Alzboon, Hamzeh ZureigatThis study presents a systematic mathematical model known as a low-code approach to classifying retail sales orders by size using AI machine learning techniques within the Orange Data Mining platform. Leveraging a real-world sales dataset sourced from Kaggle, we implemented and evaluated ten classification models, including ensemble learners (AdaBoost, Gradient Boosting), probabilistic classifiers (Naïve Bayes), distance-based methods (kNN), and interpretable … …Journal of Computer Science, Vol. 22, Issue 3 · 10 Mar 2026 · 1,567 accessesView PDFCite