Performance Comparison of Swarm Intelligence Algorithms for Web Caching Strategy

Web caching is one strategy that can be used to speed up response times by storing frequently accessed data in the cache server. Given the cache server limited capacity, it is necessary to determine the priority of cached data that can enter the cache server. This study simulated cached data prioritization based on an objective function as a characteristic of problem-solving using an optimization approach. The objective function of web caching is formulated based on the variable data size, count access, and frequency-Time access. Then we use the knapsack problem method to find the optimal solution. The Simulations run three swarm intelligence algorithms Ant Colony Optimization (ACO), Genetic Algorithm (GA), and Binary Particle Swarm Optimization (BPSO), divided into several scenarios. The simulation results show that the GA algorithm relatively stable and fast to convergence. The ACO algorithm has the advantage of a non-random initial solution but has followed the pheromone trail. The BPSO algorithm is the fastest, but the resulting solution quality is not as good as ACO and GA. © 2021 IEEE

Observing Impression of User Experience for Learning Cranium Anatomy

3D technology has widely used as a learning media in education, including benefits for students' knowledge, so it is useful to complement learning techniques in the medical field. Mobile Augmented Reality (MAR) presents a dynamic way for users to interact with computers and digital information. However, the topic of mobile augmented reality for media learning anatomy is still lacking because the current study still focuses on developing and using it as a learning tool. So, there is a need to observe impressions of user experience using MAR. This study aims to observe the impression user experience to augmented reality-based learning media designed to support learning cranium anatomy. This study uses the User Experience Questionnaire (UEQ) to observe user experience. The experiment process includes 33 international program medical students first year at Gadjah Mada University. The results of this study indicate that the highest aspect in the student's impressions is perspicuity with a value of 0.974, dependability of 0.886, and novelty of 0.894 for using cranium anatomy learning media-based MAR. The value obtained for each scale is said to be positive if it is greater than 0.8. In comparison, the attractiveness value received the lowest scale average value with a value of 0.788. Users of Media Learning for cranium anatomy based on MAR welcomed the existence of such technology. © 2021 IEEE

The global prevalence and association between the risk of myocarditis and mRNA-based COVID-19 vaccination: A network meta-analysis version 1; peer review: awaiting peer review

Background: Cases of myocarditis development have been reported after administration of messenger ribonucleic acid (mRNA)-based coronavirus disease (COVID-19) vaccines. However, the reports vary among the studies, and the types of mRNA vaccines with potential to cause myocarditis remain unidentified. The objective was to assess the cumulative prevalence of myocarditis and determine the association between myocarditis and mRNA-based COVID-19 vaccination. Methods: We performed a network meta-analysis by searching articles in PubMed, Scopus, and Web of Science. Information on the prevalence of myocarditis after the mRNA-based COVID-19 vaccination was collected from each study. Analysis was performed by calculating the pooled prevalence rate, and the association was determined using the Z-test. Data networking was performed using the Bayesian method. Results: A total of 18 papers was included in our analysis. We found that the cumulative prevalence of myocarditis was 1.7, 1.9, 1.2, and 1.1 per 100,000 population after vaccination with different types of mRNA-based COVID-19 vaccines, namely all mRNA COVID-19 vaccines, BNT162b1, mRNA-1273, and the combination of BNT162b1 and mRNA-1273, respectively. Moreover, the results revealed that BNT162b1 vaccination increased the risk of myocarditis by 1.64- and 1.71-folds compared to mRNA-1273 and the combination of BNT162b2 and mRNA-1273, respectively. Similar risks of developing myocarditis were observed after mRNA-1273 and the combination of BNT162b1 and mRNA-1273 vaccination. Conclusions: Our findings suggest the cumulative prevalence of myocarditis after mRNA-based COVID-19 vaccination with maximum prevalence was observed after BNT162b2 administration. BNT162b2 was associated with a higher risk of developing myocarditis than the other mRNA-based COVID-19 vaccines