Online-Journals.org (International Association of Online Engineering)
Not a member yet
9805 research outputs found
Sort by
National Wealth: Benchmark Indicator for the National Economy and Benchmark Indicator for the States of the World
Get PDFOne of the crucial factors that contribute to establishing well-being at the level of the world economies, as recognized by institutions such as the World Bank, is the management and distribution of the national wealth at both the national and global levels. Throughout history, each state has relied on the resources it possess and protects. In today’s world, it is more important than ever to have knowledge of and inventory these resources, not only to support one’s own economic sectors, but also to actively contribute to economies in need. The definition of national wealth is particularly significant in the context of ongoing discussions about limited resources at the global level. Moreover, it is crucial to highlight the defining elements of economic development at both the national and global levels. Such developments cannot be achieved without considering the unique characteristics of each state, including their strengths and weaknesses, particularly in terms of their resources. This paper aims to explore conceptual aspects and reference indicators for measuring national wealth. Doing so not only serves as an indicator of the sustainability of our economy but also provides a reference indicator for states worldwide
Academic Use of Smartphones in Secondary Level Education in Bangladesh: A Non-Parametric Approach
Get PDFThis study aims to examine the use of smartphones for educational purposes and the acceptance of online learning among secondary students. To investigate the academic utilization of smartphones among secondary students in Bangladesh, a sample of 384 students from different districts of Bangladesh were surveyed. The survey was conducted using a selfadministered, semi-tailored computerized questionnaire. The collected data was analyzed using IBM SPSS statistics 26 and the Mann-Whitney U test. The findings indicate that male students used smartphones for educational purposes with greater confidence and less difficulty than female students. On the other hand, students in 8th to 10th grade classrooms reported a greater willingness to use smartphones for academic purposes, with urban students being more enthusiastic than their rural peers. The study’s findings have implications for the government, policymakers, educators, and non-governmental organizations (NGOs). They highlight the importance of ensuring equal access to resources and tools that support academic success, as well as addressing the adverse effects of excessive smartphone usage. In addition, the government and NGOs should prioritize the elimination of inequities between rural and urban areas and provide subsidies to rural students
The Impact of Mobile-Assisted Language Learning on Developing EFL Learners’ Vocabulary Knowledge
Get PDFCurrently, a great variety of educational apps have been developed and extensively used by learners and instructors, making, as a result, mobile-assisted language learning one of the most prominent learning methods in enhancing the quality of language learning. However, despite the growing popularity of commonly used apps supporting second language acquisition, such as Kahoot and Quizlet, empirical research on the pedagogical role of other more recent applications in boosting L2 vocabulary is still scarce. Given this, this experimental study examines the effectiveness of a mobile application in enhancing Moroccan EFL secondary school students’ vocabulary knowledge. The study consisted of the control group (n = 30) and the experimental group (n = 30). While participants in the first group received traditional methods of teaching vocabulary, the experimental group integrated a mobile application (Flashcards World) during one semester. Data collection comprised vocabulary pre- and post-tests to compare the vocabulary learning of participants in both groups. To determine if there was a difference in the scores of the groups before and after the intervention, the findings were analysed using Independent-Samples T Tests (SPSS-26). The results revealed that the experimental group outscored the control group. Therefore, it was concluded that using Flashcard World application effectively improved vocabulary learning of secondary school students more than conventional teaching
PalAST: A Cross-Platform Mobile Application for Automated Disk Diffusion Antimicrobial Susceptibility Testing
Get PDFAntibiotic resistance is the ability of bacteria to resist the effects of antibiotics, making infections more difficult to treat and increasing the risk of complications and death. One way to fight antibiotic resistance is by identifying the most effective antibiotics for treating bacterial infections. This can be done through a laboratory test called AST, which is used to determine the susceptibility of bacteria to antibiotics. However, manual AST has several limitations that include time delay, limited accuracy, limited testing capacity, and subjective interpretation of results. Therefore, there is an emergent need for a more reliable and efficient alternative to manual AST. Recently, few works have tried to automate disk diffusion AST through AI-based solutions and mobile applications. However, these works do not support advanced analysis and interpretation of results, do not present evaluation of detection performance, or are not publicly available to download and use. This work proposes PalAST, a cross-platform mobile application that supports automated disk diffusion AST. The application enables biologists to take AST photos and analyze them in real time with minimal human intervention. It uses image processing and a pre-trained machine learning model to detect antibiotic disks in the agar plate and predict bounding circles for inhibition zones. Then, it provides an interpretation of results including the diameters of the inhibition zones, the labels on the antibiotic disks, and the rating of the bacteria as susceptible, intermediate, or resistant to each antibiotic. PalAST also stores the results of tests, allowing users to access and review past test results. PalAST was tested using a number of real AST photos, and the detection performance was evaluated by using common metrics, i.e. precision, recall, and Intersection over Union. We also used expert evaluation through a questionnaire to assess the usability and ease of use of PalAST
A Systemic Review (2014–2023) on the Mobile-Assisted Blended Learning for English as a Foreign Language Education with a Focus on Empirical Studies
Get PDFOver the past two decades, due to the rapid development of information and communication technologies (ICT), mobile learning (M-learning) and blended learning (BL) have emerged as new trends in sustaining English as a foreign language (EFL) education. The tumultuous COVID-19 pandemic has disrupted traditional teaching and learning, but it has also accelerated the integration of technology in EFL education. Mobile-assisted blended learning (MABL) combines mobile-assisted language learning (MALL) and BL into a single framework that effectively addresses their individual limitations when used in isolation. However, reviews of MABL, particularly in the context of EFL education, are scarce. Sourced from two major databases, namely Web of Science and Scopus, and two supplementary databases (Education Resources Information Center and Mendeley), 25 studies were extracted out of 205 in the latest decade, using specific exclusion and inclusion criteria. This review aims to shed light on the trend of utilizing advanced and effective pedagogy and teaching tools to benefit stakeholders in the sustainable development of English as a foreign language
Guarding the Cloud: An Effective Detection of Cloud-Based Cyber Attacks using Machine Learning Algorithms
Get PDFCloud computing has gained significant popularity due to its reliability and scalability, making it a compelling area of research. However, this technology is not without its challenges, including network connectivity dependencies, downtime, vendor lock-in, limited control, and most importantly, its vulnerability to attacks. Therefore, guarding the cloud is the objective of this paper, which focuses, in a novel approach, on two prevalent cloud attacks: Distributed Denial-of-service (DDoS) attacks and Man-in-the-Cloud (MitC) computing attacks. To tackle the detection of these malicious activities, machine learning algorithms, namely Decision Trees, Support Vector Machine (SVM), Naive Bayes, and K-Nearest Neighbors (KNN), are utilized. Experimental simulations of DDoS and MitC attacks are conducted within a cloud environment, and the resultant data is compiled into a dataset for training and evaluating the machine learning algorithms. The study reveals the effectiveness of these algorithms in accurately identifying and classifying malicious activities, effectively distinguishing them from legitimate network traffic. The finding highlights Decision Trees algorithm with most promising potential of guarding the cloud and mitigating the impact of various cyber threats
Stakeholders of Cardiovascular Innovation Ecosystems in Germany: A First Level Analysis and an Example
Get PDFThis paper aims to provide a first attempt towards analysis innovation ecosystems for cardiovascular pathologies in Germany through the use of a stakeholder model. We present essential stakeholders for the development and deployment of innovations in the field of cardiovascular research and medicine, and the primary functions they fulfill in the context of these innovation ecosystems. The adopted approach consists of the implementation of a multilevel system model for analyzing stakeholders in this particular field. Data acquisition transpired through systematic literature review of multiple articles and studies. Data analysis phases were executed until reaching a point at which the considerable amount of data was discovered, ensuring consistency across various sources. We demonstrate that innovation ecosystems in cardiovascular medicine involve interconnected networks of stakeholders across different fields. Moreover, through an investigation of innovation ecosystems of cardiovascular pathologies particularly in Germany, we present the functions undertaken by each stakeholder, which are essential for the participation in the innovation ecosystems. The findings presented in this paper hold the potential to bring better understanding of cardiovascular pathology innovation ecosystems in Germany. This assertion is substantiated through a comprehensive examination of relevant scientific literature
Preschool STEM Activities and Associated Outcomes: A Scoping Review
Get PDFThis review highlights the need for further investigation into the benefits of STEM activities in preschool children’s learning, girls’ engagement and learning of children with disabilities in the STEM field. The review process involved accessing 19 relevant studies from Scopus, ERIC and Google Scholar databases in March 2023. Through the synthesis of information from these studies, seven STEM activities were identified as effective in enhancing preschool children’s learning: educational robots, educational games, argumentative interactions, inquiry-based learning and engineering design, drawing and telling about engineers, free play and pretend play, and group membership. Each of these activities contributes to different learning outcomes for children. Moreover, the review emphasizes the importance of role-playing activities ‘as if’ engineers and scientists, facilitated by teachers, in fostering girls’ motivation and engagement in the STEM field from an early age. Long-term scientific interventions at home have a significant positive impact on the science literacy skills of deaf children. The implications of this review are particularly relevant for early childhood educators, as it provides valuable insights into the use of STEM activities to enhance children’s learning outcomes
Evaluation and Research on the Classification Training Mode of Animation Talents Based on Teaching Dynamics from the Perspective of New Liberal Arts
Get PDFThe creation of new artistic forms is an important aspect of the classification of artistic construction. The training of animation talents should be based on the market demand for professionals in the animation industry. While emphasizing the training of professional characteristics, it is important to consider the cross-complementation of related disciplines. The animation major at the Zhongnan University of Economics and Law has taken the initiative to investigate the market. They started by addressing the challenges faced in the development of the animation major and focused on the classification training of animation talents within the newly established new art department. As a result, they have developed a new professional curriculum system, a system for cross-integration of different disciplines, and a practical training system. These initiatives have facilitated the classification of platforms, the integration of multiple disciplines, and the development and training of practical skills within the animation major. We are actively exploring and practicing a new training method for animation talents in the art department. Our goal is to train high-quality applied animation talents who can contribute to local economic and social development. By doing so, we aim to promote the coordinated development of the art department and the field of animation. In order to quantify the teaching effect, we introduced a dynamic method to model the teaching system. This model was mathematically established as a dynamic system. Through modeling and analysis, the data reflected the positive impact of educational innovation and reform on teaching, thereby demonstrating the effectiveness of our innovation and reform
Quantitative Estimation of Urban PM2.5 Pollution Baseline and Meteorological Resource Endowment Using Machine Learning in Chinese Yangtze River Economic Belt
Get PDFConsidering the influence of baseline values, meteorological conditions, and human activities on PM2.5, quantifying them will facilitate the classification, control, and management of pollution. The machine learning model explained the PM2.5-meteorological nonlinear relationship between PM2.5 and meteorological factors in each city across the Yangtze River Economic Belt, China. Meteorological resource endowments (MRE) are used to quantify the variation on PM2.5 concentration caused by meteorological conditions. Contamination baseline (CB) is used to characterize the lowest limit of anthropogenic impact in PM2.5 contamination without meteorological interference. According to the values of MRE and CB, cities in the Yangtze River economic belt can be divided into four categories (Q1-4). The average value of MRE is −0.41 μg/m3. The average value of CB is 34.05 μg/m3, which is lower than the Chinese Grade II standard (GB 3095-2012). The additional emissions by humans resulted in an increase of 7 μg/m3 in concentration, while the meteorological factors led to a decrease of −0.41 μg/m3. In terms of city classification, Q1 is concentrated in the midstream, and PM2.5 is the most challenging pollutant to control. Q2 is concentrated downstream, with relatively high PM2.5 emissions but favorable meteorological conditions. Q3 is concentrated upstream, and there is surplus environmental capacity even with limited meteorological conditions. Cites in Q4 have the most suitable development potential and exhibit a discrete spatial distribution. The research distinguished various categories of pollution and provided insights into the different characteristics of pollution around the Yangtze River Economic Belt. This information has helped the government classify cities and implement specific policies based on their individual situations