Online-Journals.org (International Association of Online Engineering)
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Biofeedback-Based Method for Real-Time Fatigue Monitoring of Knee
Get PDFThis paper introduces and implements a method to monitor muscle fatigue in real-time using a wearable biofeedback system to improve muscle rehabilitation treatments. The biofeedback system consists of an electromyography (EMG) sensor to capture muscle activity and two motion sensors to track knee angles. The proposed method for monitoring muscle fatigue involves three steps: (1) recognition of the movement phases during the knee extension exercise; (2) clipping of the EMG signal and calculation of fatigue-related metrics; and (3) normalization of metrics through a calibration process. An experimental session was performed with 10 healthy subjects performing 50 repetitions of the knee extension exercise. Processed data revealed changes in fatigue-related metrics, which align with existing literature. A comparison was also made between real-time and computer processing using raw data. While minor differences were noted between the two processing methods, the mobile app closely mirrored the trajectory of processed data in the cloud, ensuring reliability and consistency. This study advances remote muscle rehabilitation by quantifying muscle fatigue during treatment sessions. Thus, health professionals can tailor treatment plans based on individual patient characteristics, optimizing treatment duration, and reducing injury risk
Mindfulness, Kindergarten, and Virtual Reality
Get PDFMindfulness plays a crucial role in reducing stress levels and enhancing executive functioning and self-regulation. Several studies have shown that technology can have positive effects because it can aid mindfulness training. This review is the second part of a project that investigates the advantages of technology and mindfulness in kindergarten. In the previous section, we examined the role of social robots. However, this review focuses on the use of virtual reality (VR) in mindfulness practices. The objective of our study is to provide a comprehensive overview of the current research on the subject of VR and mindfulness. We aim to examine the possible pros and cons of this technology and, most importantly, inspire more investigation into the application of virtual technology in kindergarten settings. We conducted a systematic review of the literature. The results indicate that VR improves the mindfulness condition. VR settings provide a secure and reliable environment that offers enjoyable experiences for young students. Additionally, they enhance the focus, awareness, and regulation of breathing for the participants. The VR experience should have a simple layout that is easily distinguishable from the actual world. Additionally, the technology used should be appropriate for the target age group. Our primary objective is to inspire further research into the application of VR and mindfulness in kindergarten
Optimizing Energy and Delay in Task Offloading for Connected Vehicles with Proximal Policy Optimization
Get PDFElectric-powered intelligent connected vehicles are becoming the pivotal point of the automotive industry. As vehicles integrate more applications, the computation tasks they generate increase substantially. Cloud servers cannot handle these tasks promptly, and current electric vehicles (EVs) have limited energy and computing resources. Multi-Access edge computing (MEC) performs various activities in proximity to the vehicles, resulting in decreased latency and the preservation of EV battery power. However, MEC servers have finite processing resources and may be unable to satisfy the required latency restrictions. We propose a task offloading scheme to optimize the allocation of computational resources from roadside servers across several EVs. We develop a mathematical model to optimize both computation latency and EV energy, represented as a Markov decision process (MDP). To address this, we employ the deep reinforcement learning-proximal policy optimization (DRL-PPO) algorithm. The implementation of our mathematical model, which is based on an MDP, together with the use of the DRL-PPO algorithm, showcases notable decreases in both energy consumption and latency when compared to alternative benchmark deep reinforcement learning (DRL) approaches
Insight into the Trends in Research on the Impact of Social Media on Adolescent Mental Health: A Bibliometric Analysis
Get PDFThis study investigates the impact of social media on adolescent mental health through a bibliometric analysis of literature from 2004 to 2024 in the web of science database. With internet usage among adolescents exceeding 87% and instant messaging rates reaching 84.1%, platforms such as Facebook and Instagram significantly affect their mental well-being. The study identifies “anxiety,” “depression,” and “adolescents” as central themes, demonstrating a strong correlation between high-frequency social media use and mental health issues. Adolescents, the most affected group, face significant risks from prolonged social media exposure. The United Kingdom leads study collaborations in this field. The findings highlight the complexity of social media’s impact on mental health, influenced by various factors ranging from childhood experiences to specific psychological issues. Emphasizing adolescent mental health, the study calls for future study to explore the long-term effects of social media use and develop effective intervention measures and policy recommendations. This scientific evidence aims to guide policymakers, educators, and parents in promoting the comprehensive development and well-being of adolescents, helping them navigate the digital age healthily and safely
Blood Protein Ratios Reveal New Diagnostic Biomarkers for Prostate Cancer: A Study from the Perspective of Mendelian Randomization
Get PDFProstate cancer (PCa) is a leading malignancy affecting men globally, contributing significantly to cancer-related morbidity and mortality. Our study aims to explore causal relationships between blood protein ratios (BPR) and PCa using a Mendelian randomization (MR) approach, potentially identifying new diagnostic and therapeutic targets. Methods: A two-sample MR method was employed, utilizing genetic variants as instrumental variables (IVs) to infer causality between circulating BPR and PCa. Data on BPR were obtained from a proteomics study of the UK Biobank, while PCa data were sourced from FinnGen, the PRACTICLE Consortium, and the GWAS Catalog. Stringent criteria were applied for IV selection, and statistical analyses included the inverse-variance weighted (IVW) method with sensitivity analyses to address pleiotropy and heterogeneity. Results: Significant causal associations were identified between several BPR and PCa. Notably, the ratios of CEBPB/PXN, APBB1IP/NCF2, APP/EGF, and CRKL/ EGF were found to be protective against PCa, while the ratios of ARHGAP1/RAD23B, EGF/ TNFSF14, and GOLM2/STC1 were identified as risk factors. Reverse MR analysis suggested that PCa might act as a protective factor for the GOLM2/STC1 ratio. Sensitivity analyses confirmed the robustness of these findings. Conclusions: This study elucidates significant causal relationships between 7 BPR and PCa, offering new insights for diagnosis, treatment evaluation, and personalized therapeutic strategies. Future research should focus on validating these findings and exploring the underlying biological mechanisms to improve PCa management
A Large-Scale Study on the Preferred Learning Mode in Higher Education: Which One Suits Me Better in the New Normal?
Get PDFWith the end of school closures due to COVID-19, students had to return to school, where they were exposed to various learning pedagogies while adhering to health restrictions. In this era known as the “new normal,” several organizations, such as UNESCO, have urged the investigation of effective learning strategies and methods to ensure positive learning outcomes. This study aims to investigate students’ preferred learning mode in the new normal. A sequential mixed-methods approach was conducted with 3139 university students. The results revealed that students were divided about their preferred learning mode in the new normal. More than half of them believed that blended and online learning were the future of education, while the rest believed that face-to-face learning was more appropriate
Digital Competence of Secondary School Teachers in Hanoi, Vietnam: A Study Based on the DigCompEdu Model
Get PDFNowadays, technology poses significant challenges to education. Teaching tasks are closely linked to technology. Teachers use technology as a vital tool in teaching. Technology is constantly changing, requiring teachers to be continuously assessed for their digital competence to identify their strengths and weaknesses, thereby finding solutions to enhance their digital skills and meet the high learning demands of students. This study focuses on analyzing the digital competence of teachers currently teaching at secondary schools in Hanoi, Vietnam, using the DigComEdu model to measure teachers’ digital competence. The research sample consists of 445 teachers, indicating that the majority of teachers have digital competence at the B2 level, with the “Assessment” area of digital competence being the lowest. Interestingly, teachers under the age of 25 exhibit the lowest level of digital competence. The results gathered and analyzed concerning teachers’ digital competence, along with the conclusions drawn from this study, aim to develop teachers’ digital competence
Effect of Virtual Education on Academic Performance Generated by COVID-19
Get PDFThe aim of this research is to analyze the impact of implementing virtual education on the academic performance of primary and secondary school students in a private school in Ibagué, Colombia, during the COVID-19 pandemic crisis. The survey was administered to 183 parents and nine teachers at the school as a data collection technique for the study. The research results revealed that the school maintained its quality in conducting virtual classes at the elementary and high school levels. Similarly, the students’ performance was maintained compared to the previous year of the pandemic. As a conclusion, it has been determined that the school directors’ implementation of the virtual education model and the capabilities of the teaching staff were successful in maintaining the quality of education during the pandemic
CoLipid: A Mobile Application for Lipid Monitoring
Get PDFThe recent healthcare transformations emphasize the importance of individuals maintaining a healthy lifestyle through proper nutrition and physical activity to reduce the risk of severe illnesses. Patients often search for information on their own, leading to uncertainty about appropriate diets or fitness activities. Consequently, many individuals cross-check information or health advice from various sources. However, some people hesitate to verify online health-related information with their clinicians, fearing that it may be perceived as a challenge to their expertise and authority. This study aimed to determine a useful way to monitor a patient’s lipid profile and provide recommendations for meal plans and fitness activities. A content-based approach that utilizes a vector space model is employed in the development of a recommender method. The vector space model uses meal plan keywords to suggest similar items, and selection rules are applied to identify relevant meal plan and fitness activity options. This approach has been integrated into a mobile application for healthcare, enabling patients to receive personalized recommendations based on their lipid levels. To assess the usability of the mobile application, an initial user study was conducted, which revealed that most respondents had a positive opinion of the application. In the future, the application could be enhanced with a wider variety of meal plans and additional features
Caching Strategies for the Metaverse: Taxonomy, Open Research Challenges, and Future Directions
No full textThe metaverse, which is considered to be the next evolutionary stage of the Internet, has captured the attention of both academia and industry. Its primary goal is to establish a shared 3D virtual space that interconnects all virtual worlds through the Internet. In this shared space, users are represented as digital avatars, enabling them to communicate, interact with each other, and engage with the virtual environment as if they were in the physical world. However, realizing the full potential of the metaverse poses significant challenges, such as the requirement for higher throughput compared to current social VR platforms and the need to minimize latency to just a few milliseconds to uphold a truly immersive user experience. Caching is a critical aspect of optimizing data access on the current Internet, and it is equally crucial for addressing similar challenges in Web 3.0 and the metaverse. This paper explores different caching strategies suggested to address these challenges on the current Internet and assesses their potential relevance to the metaverse. Caching strategies are categorized into three groups: web caching, mobile caching, and Internet of Things (IoT) caching. Recent solutions are then examined to determine their relevance to the metaverse. Finally, the paper discusses open research challenges and potential future research directions in this domain