Research ArticleOpen accessIn the abstractBridging Traditional Craftsmanship and Digital Interaction through User-Centered Design: Designing Intuitive InterfacesChristopher Kevin Gunawan, Ravi Ardiza Putra, Steven Albert et al.Traditional craftsmanship served as both a manifestation of cultural heritage and a vital pillar of the global creative economy. However, its digital integration was frequently hindered by low technological literacy and misalignment between manual practices and standardized digital systems. Existing digital interventions primarily focused on passive e-commerce storefronts and often ignored the socio-economic precarity of craftsmen operating as independent contractors … …Journal of Computer Science, Vol. 22, Issue 6 · 5 Jun 2026 · 1,551 accessesView PDFCite
Literature ReviewOpen accessIn the abstractIntracranial Atherosclerotic Disease: Treatment Potential and Diagnostic OpportunitiesAnastasia Vladimirovna Poznyak, Victoria Alexandrovna Khotina, Anton Yuvenalievich Postnov et al.Atherosclerosis, characterized by the accumulation of atherosclerotic plaques within large arteries, substantially increases the risk of cardiovascular events, including ischemic stroke. Intracranial atherosclerotic disease (ICAD) represents a particularly significant clinical threat given its strong association with ischemic stroke across multiple intracranial arterial territories. This review provides a comprehensive analysis of the pathogenesis, diagnosis, and management of intracranial atherosclerosis. Special attention … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 5 May 2026 · 1,093 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Prediction Model for Information Anxiety of CSs Based on CMA-ES and XGBoostBin Wang, Li ShaoWith the rapid advancement of information technology, college students are increasingly facing the problem of information overload. Information anxiety, an emerging mental health issue, significantly impacts their studies, daily lives, and mental well-being. Given the limitations of existing methods in handling complex nonlinear relationships and high-dimensional data, this study proposes an efficient and accurate prediction model for college students’ information … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 21 Apr 2026 · 1,695 accessesView PDFCite
Review ArticleOpen accessIn the abstractRole of HDL in Atherogenesis: Cholesterol and AtheroprotectionAnastasia Vladimirovna Poznyak, Vasily Nikolaevich Sukhorukov, Victor Yurievich Glanz et al.Atherosclerosis is a major global health burden, responsible for a significant proportion of cardiovascular morbidity and mortality worldwide. Its high prevalence and severe clinical consequences have made it a subject of extensive research. Despite considerable advances, the complexity of its pathogenesis continues to hinder the development of effective preventive strategies and therapeutic interventions. Current evidence implicates chronic inflammation, dysregulated lipid … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 3 Apr 2026 · 1,476 accessesView PDFCite
Literature ReviewOpen accessIn the abstractUnraveling NETosis: From Immune Mechanisms to Therapeutic InnovationsAnastasia V. Poznyak, Alexey V. Churov, Gulalek Amanmyradovna Babayeva et al.Neutrophil Extracellular Traps (NETs) are integral to immune responses, serving both protective and pathological roles in inflammatory diseases. Despite increasing recognition of NETs, significant gaps remain in understanding the nuanced mechanisms of NETosis and its implications for health and disease. This review systematically explores NETosis—the formation of NETs—by elucidating the molecular signaling pathways and cellular mechanisms involved. We highlight the … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 21 Feb 2026 · 1,678 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Chain Mediating Role of Technology Self-Efficacy and Attitudes in Online Learning EnvironmentsJie Gao, Dolores D. Borras, Beverly T. CaigaThis study investigates the mediating role of technology self-efficacy and attitudes in online learning environments among university students. Specifically, we examined how students' technology self-efficacy, attitudes toward online learning, and perceptions of course appropriateness influence online learning outcomes. Data were collected via questionnaire survey from students enrolled in public and private universities (N = [specify number]). Structural equation modeling with … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 16 Feb 2026 · 1,601 accessesView PDFCite
Research ArticleOpen accessIn the abstractSex-Based and Age-Specific Trends in Gardnerella vaginalis Infection: An Epidemiological Study in Republic of Korea, 2018-2022Hyeok-Jin Kwon, Sun-Gyu Kim, Junmin Lee et al.Sexually Transmitted Infections (STIs) are an important global public health issue caused by various pathogens. STI symptoms can manifest at different times, depending on the sex, age, and infection route. Here, we aimed to assess the occurrence of STIs in the Republic of Korea, explore associated global trends, and identify pathogens with high positivity rates to inform future health policies. … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 3 · 29 Jan 2026 · 1,928 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Empirical Investigation of the Pollution Haven-Halo Nexus in Eastern and Southern AfricaPaul KauluThis study looks into the relationship between trade and pollution in Eastern and Southern Africa from 1977 to 2016. This timeframe is particularly relevant as it was marked by rising CO₂ emissions despite major climate agreements such as the Kyoto Protocol (1997), Reducing Emissions from Deforestation and Forest Degradation (REDD+, 2007), as well as the Paris Agreement (2015). Using time-series … …American Journal of Environmental Sciences, Vol. 21, Issue 1 · 28 Jan 2026 · 2,917 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Synergy: CNNs and Transformers for Epidemic Outbreak ForecastingAlexander R., Shakthi Priya V., Sumathi G. et al.An Accurate prediction of outbreaks is extremely crucial for taking proactive public health interventions, distributing limited resources, and controlling a disease. This paper assesses and also compares the performances of the available deep learning models, namely, Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM) networks, and Bidirectional Long Short-Term Memory (BiLSTM) networks, in predicting. CNNs are best for feature extraction … …Journal of Computer Science, Vol. 21, Issue 12 · 23 Jan 2026 · 2,113 accessesView PDFCite
Research ArticleOpen accessIn the abstractExploring Self-Esteem and Body Dissatisfaction Among Jamaican Youths: Unraveling Influential Factors and Promoting Positive Self-ImageDenise LloydThis qualitative study explores body image and self-esteem perceptions among Jamaican youths aged 9-15, framed within a Participatory Action Research (PAR) approach. PAR, grounded in critical theory and social constructivism, emphasizes collaborative inquiry, cyclical reflection, and action to address social issues relevant to the participants' lived experiences. This methodology is particularly suited for youth-centred, culturally situated research, as it empowers … …Current Research in Psychology, Vol. 11, Issue 1 · 9 Jan 2026 · 3,367 accessesView PDFCite