Reviewerly/exHarmony huggingface dataset:
Real-Time Transcriptionist Based on Artificial Intelligence to Facilitate Learning for People with Hearing Disabilities in Virtual Classes

Authors:
raw_author_name: Christian Ovalle
raw_affiliation_string: Universidad Tecnológica del Perú

Abstract: Schools have historically been ill-prepared to cater to the needs of deaf students at the elementary and secondary levels. This leads to communication difficulties that impact the learning process for each individual. During the recent COVID-19 pandemic, educational institutions for deaf students faced difficulties in providing effective teaching to children and youth. It is important to emphasize that education is fundamental for all individuals, without exception, as acquiring literacy skills enables them to lead a more fulfilling life. In this context, our research aims to investigate how the use of a computer tool can enhance communication for deaf students in a virtual environment. The methodology used involved the use of a checklist to gather data from each participant’s evaluation. The post-test yielded favorable results, thanks to the statistical analysis employed in the research. In conclusion, it has been determined that a real-time transcriber facilitates learning, leading to improved educational outcomes for deaf students.
Engineering Students' Acceptance of Augmented Reality Technology Integrated with E-Worksheet in The Laboratory Learning

Authors:
raw_author_name: Doni Tri Putra Yanto
raw_author_name: None Ganefri
raw_author_name: None Sukardi
raw_author_name: None Muslim

Abstract: The use of augmented reality (AR) technology in the field of education has emerged as a rapidly growing trend. However, there is an urgent need for more comprehensive research to determine the reactions of engineering students and their acceptance of this technology in laboratory learning. This study investigates the acceptance of integrated augmented reality with e-worksheet (IARE-W) among engineering students in the laboratory learning (IARE-W) among engineering students the electrical machines course (EMC). This research empirically uncovers the factors that influence it based on the technology acceptance model (TAM), specifically perceived ease of use (PEU) and perceived usefulness (PU). Acceptance is indicated by students’ attitudes toward the use. A survey-based quantitative research study using questionnaires was conducted to collect data, involving 102 students in the field of industrial electrical engineering. The partial least squares structural equation modeling (PLS-SEM) analysis was used to analyze the research data. The results demonstrated that engineering students had a highly positive attitude toward the use of the IARE-W in the EMC. Additionally, both PEU and PU had a positive and significant direct effect on engineering students’ attitudes toward using IARE-W. Furthermore, PEU also had a significant and positive indirect effect through PU as a mediating variable. These findings have significant implications for the development of engineering education and the integration of AR technology in laboratory learning contexts. The results of this study underscore the importance of taking into account PEU and PU in the design, development, and implementation of the IARE-W.
Characterisation, axial anisotropy, and formation conditions of celestine minerals from the Jabal Eghei (Nuqay) late Neogene – Pleistocene volcanic province, southeastern edge of the Sirt Basin, southern Libya: Constraints on the mineralogical geothermometer – ERRATUM

Authors:
raw_author_name: Pavle Tančić
raw_author_name: Maja Milošević
raw_author_name: Darko Spahić
raw_author_name: Bojan Kostić
raw_author_name: Aleksandar Kremenović
raw_author_name: Maja Poznanović-Spahić
raw_author_name: Jovan Kovačević

Abstract: Characterisation, axial anisotropy, and formation conditions of celestine minerals from the Jabal Eghei (Nuqay) late Neogene – Pleistocene volcanic province, southeastern edge of the Sirt Basin, southern Libya: Constraints on the mineralogical geothermometer – ERRATUM
Proving the existence of Euclidean knight’s tours on n × n × ⋯ × n chessboards for n &lt; 4

Authors:
raw_author_name: Marco Ripà

Abstract: The Knight's Tour problem consists of finding a Hamiltonian path for the knight on a given set of points so that the knight can visit exactly once every vertex of the mentioned set. In the present, we provide a 5-dimensional alternative to the well-known statement that it is not ever possible for a knight to visit once every vertex of $C(3,k):=\{\underbrace{\{0,1,2\} \times \{0,1,2\}\times \cdots \times \{0,1,2\}}_\textrm{\textit{k}-times}\}$ by performing a sequence of $3^k-1$ jumps of standard length, since the most accurate answer to the original question actually depends on which mathematical assumptions we are making at the beginning of the game when we decide to extend a planar chess piece to the third dimension and above. Our counterintuitive outcome follows from the observation that we can alternatively define a 2D knight as a piece that moves from one square to another on the chessboard by covering a fixed Euclidean distance of $\sqrt{5}$ so that also the statement of Theorem 3 in [Erde, J., Golénia, B., &amp; Golénia, S. (2012), The closed knight tour problem in higher dimensions, The Electronic Journal of Combinatorics, 19(4), #P9] does not hold anymore for such a Euclidean knight, as long as a 2 × 2 × ⋯ × 2 chessboard with at least 2&lt;sup&gt;7&lt;/sup&gt; cells is given. Moreover, we construct a classical closed knight's tour on $C(3,4)-\{(1,1,1,1)\}$ whose arrival is at a distance of 2 from $(1,1,1,1)$, and then we show a closed Euclidean knight's tour on $\{\{0,1\}\times\{0,1\}\times\{0,1\}\times\{0,1\}\times\{0,1\}\times\{0,1\}\times\{0,1\}\}\subseteq \mathbb{Z}^7$.
On Preventing and Mitigating Cache Based Side-Channel Attacks on AES System in Virtualized Environments

Authors:
raw_author_name: Abdullah Albalawi

Abstract: Cloud computing aims to cut costs through a reduction in spending on equipment, infrastructure, and software by applying the multi-tenancy feature. Despite all the benefits of multi-tenancy, it is still a source of risk in cloud computing. Cloud adoption may be hampered by security concerns if suitable cloud-based security solutions are not available. Moreover, virtualization that enables multi-tenancy, considered one of the main components of a cloud, introduces major security risks and does not offer appropriate isolation between different instances running on the same physical machine. In this paper, we present a preliminary idea that may support the development of new countermeasures for a particular type of threat, namely cache-based side-channel attacks that target cache memories in virtualized environments. Attackers specifically target virtual machines in this type of attack to create many side channels and gather sensitive data. Additionally, this research offers preliminary concepts to aid in developing of solutions or defenses that enable us to identify unusual activity that could point to attacks associated with multi-tenancy, as well as security measures that preserve the benefits of multi-tenancy while lowering security concerns.
Towards Achieving the Sustainable Development Goals (SDGs): The Impact of Debts on Income Inequality in Africa

Authors:
raw_author_name: Muazu Ibrahim

Abstract: The Agenda for Sustainable Development provides a framework for the creation of a better and sustainable future for all. The Sustainable Development Goals (SDGs) focus on addressing global challenges, including income inequality. Among others, the SDGs also commit countries to work towards reducing income inequality and as such, lowering income inequality is one of the key issues in Africa. However, given the high levels of debt on the continent, reducing income inequality could be a challenge. Majority of the literature examines the link between debts and economic growth with little attention paid to the impact of debts on income inequality. Moreover, not much is known on whether the relationship between debt and income inequality is non–linear. This study therefore contributes to the existing research efforts by investigating the threshold effects of debts using data from 24 African countries by relying on the sample splitting and threshold estimation approach. The results reveal that, while debts generally dampen income inequality, unbridled debt accumulation above the estimated thresholds does not decrease income inequality, indicating that the income inequality–reducing impact holds at lower levels of debt–to–GDP ratio. This evidence is insensitive to different indicators of income inequality and debts. Findings from this study show how increasing indebtedness contributes to widening income inequality in Africa.
Enhancing digital competencies in schools: The role of ICT coordinators

Authors:
raw_author_name: Antonin Jancarik

Abstract: This article discusses the growing importance of digital competencies in education, specifically focusing on the role of technical infrastructure in schools and staff support strategies. The discussion aims at the introduction of the ICT coordinator role in Czech Republic schools. Analysis indicates that schools with an ICT coordinator exhibit improved technology access for students and teachers, not solely determined by computer quantity per pupil. Noteworthy differences lie in the flexibility and availability of technology, with ICT coordinator-aided schools having more mobile computers, mobile labs, and more vital facilitation of BYOD methods. In conclusion, while recognizing the partial nature of school technology equipment data, the article concludes that training teachers and implementing the ICT coordinator role positively impact ICT technology use in schools. Recommendations based on Czech Republic research include establishing the ICT coordinator position, providing financial incentives, and reducing direct teaching loads. Future research should track changes in ICT equipment during ICT coordinators’ tenures and explore technology deployment dynamics, emphasizing collaboration between ICT coordinators, school management, and individual teachers.
Learning Framework for Joint Optimal Node Placement and Resource Management in Dynamic Fog Environment

Authors:
raw_author_name: Sheela S
raw_affiliation_string: Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore University,
Bengaluru, India
raw_author_name: S M Dilip Kumar
raw_affiliation_string: Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore University,
Bengaluru, India

Abstract: Background: With recent improvements in fog computing, it is now feasible to offer faster response time and better service delivery quality; however, the impending challenge is to place the fog nodes within the environment optimally. A review of existing literature showcases that consideration of joint problems such as fog node placement and resource management are less reported. Irrespective of different available methodologies, it is noted that a learning scheme facilitates better capability to incorporate intelligence in the network device, which can act as an enabling technique for superior operation of fog nodes. Objective: The prime objective of the study is to introduce simplified and novel computational modelling toward the optimal placement of fog nodes with improved resource allocation mechanisms concerning bandwidth. Method: Implemented in Python, the proposed scheme performs predictive operations using the Deep Deterministic Policy Gradient (DDPG) method. Markov modelling is used to frame the model. OpenAI Gym library is used for environment modelling, bridging communication between the environment and the learning agent. Result: Quantitative results indicate that the proposed scheme performs better than existing schemes by approximately 30%. Conclusion: The prime innovative approach introduced is the implementation of a reinforcement learning algorithm with a Markov chain towards enriching the predictive analytical capabilities of the controller system with faster service relaying operations a. a This article is an extension of our paper entitled “Computational Framework for Node Placement and Bandwidth Optimization in Dynamic Fog Computing Environments" presented at INDICON- 2022, CUSAT, 24-27 November 2022.
Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework

Authors:
raw_author_name: El-Ghazali Talbi
raw_affiliation_string: CNRS/CRIStAL, University of Lille, FSTM/DCS, University of Luxembourg
raw_author_name: Grégoire Danoy
raw_affiliation_string: FSTM/DCS, SnT, University of Luxembourg

Abstract: Multi-objective reinforcement learning (MORL) extends traditional RL by seeking policies making different compromises among conflicting objectives. The recent surge of interest in MORL has led to diverse studies and solving methods, often drawing from existing knowledge in multi-objective optimization based on decomposition (MOO/D). Yet, a clear categorization based on both RL and MOO/D is lacking in the existing literature. Consequently, MORL researchers face difficulties when trying to classify contributions within a broader context due to the absence of a standardized taxonomy. To tackle such an issue, this paper introduces multi-objective reinforcement learning based on decomposition (MORL/D), a novel methodology bridging the literature of RL and MOO. A comprehensive taxonomy for MORL/D is presented, providing a structured foundation for categorizing existing and potential MORL works. The introduced taxonomy is then used to scrutinize MORL research, enhancing clarity and conciseness through well-defined categorization. Moreover, a flexible framework derived from the taxonomy is introduced. This framework accommodates diverse instantiations using tools from both RL and MOO/D. Its versatility is demonstrated by implementing it in different configurations and assessing it on contrasting benchmark problems. Results indicate MORL/D instantiations achieve comparable performance to current state-of-the-art approaches on the studied problems. By presenting the taxonomy and framework, this paper offers a comprehensive perspective and a unified vocabulary for MORL. This not only facilitates the identification of algorithmic contributions but also lays the groundwork for novel research avenues in MORL.
SAACCESS (SIMPAN ARSIP DENGAN ACCESS) APPLICATION DEVELOPMENT AT 11TH STATE SENIOR HIGH SCHOOL SURABAYA

Authors:
raw_author_name: None Brillian Rosy
raw_affiliation_string: University of Surabaya
raw_author_name: None Meylia Elizabeth Ranu
raw_affiliation_string: University of Surabaya
raw_author_name: None Novi Trisnawati
raw_affiliation_string: University of Surabaya

Abstract: Archives are the center of memory in every activity in the office. Archives function as a memory center, proof of the existence of the institution, and for the benefit of other institutions. Therefore, there must be good management or management of archives from creation to shrinkage. The main obstacle is the decreasing physical letter storage space, but it’s not possible to build a special building for physical letter storage space. Using the type of research with R&amp;D (Research and Development) and prototype development research methods. Development of this archival application uses a Microsoft Access-based application. This research goes through a research procedure starting with information gathering, designing the product quickly, building a prototype, and the final step is that the application is ready to use with an evaluation that has been carried out by experts. The subject is 2 peoples from 11th Senior High School Surabaya administration staff. The trial was conducted in December 2023 and January 2024. The application feasibility results based on material expert validators and media expert validators get a score of 96%. While the results of application feasibility based on administrative staff get a score of 88.8%, which shows the interpretation of “Very Feasible”. The development of Microsoft Access-based digital archiving applications uses a prototype development model. The SAAccess application received a feasibility score of 96% from both the material expert validator and the software developer. SAAccess also received a score of 88.8% from the administrative staff of 11th Senior High School Surabaya. It can be concluded that SAAccess is effectively used to manage letters in 11th Senior High School Surabaya digitally.
Android-Based Mobile Learning Application Using App Inventor on Computer Operating System Material: The Development and Validity Study

Authors:
raw_author_name: Fivia Eliza
raw_affiliation_string: PFaculty of Engineering, Universitas Negeri Padang, Padang, Indonesia
raw_author_name: Muhammad Hakiki
raw_affiliation_string: Faculty of Teacher Training and Education, Universitas Muhammadiyah Muara Bungo, Bungo, Indonesia
raw_author_name: Radinal Fadli
raw_affiliation_string: Faculty of Teacher Training and Education, Universitas Muhammadiyah Muara Bungo, Bungo, Indonesia
raw_author_name: Ahmad Ridoh
raw_affiliation_string: Faculty of Teacher Training and Education, Universitas Muhammadiyah Muara Bungo, Bungo, Indonesia
raw_author_name: Fauziah Fauziah
raw_affiliation_string: Faculty of Teacher Training and Education, Universitas Muhammadiyah Muara Bungo, Bungo, Indonesia
raw_author_name: Riko Muhammad Suri
raw_affiliation_string: Faculty of Technology, Health and Science, Universitas Muhammadiyah Muara Bungo, Bungo, Indonesia
raw_author_name: Hermanto Hermanto
raw_affiliation_string: Faculty of Technology, Health and Science, Universitas Muhammadiyah Muara Bungo, Bungo, Indonesia
raw_author_name: Jefdy Kurniawan
raw_affiliation_string: Faculty of Technology, Health and Science, Universitas Muhammadiyah Muara Bungo, Bungo, Indonesia

Abstract: Mobile learning apps are widely acknowledged for their effectiveness in enhancing learning results. This study aims to develop and validate an Android-based mobile learning app for computer operating system principles. Using the user-friendly App Inventor platform known for visual programming, it integrates interactive modules and multimedia for diverse learning styles. The study adopted a Research and Development approach following the ADDIE model (analysis, design, development, implementation, and evaluation). The research was conducted at Universitas Negeri Padang and Universitas Muhammadiyah Muara Bungo and involved 10 participants. The analysis of questionnaire-based data conducted by media and material experts categorized the Android-based learning media as "Appropriate", achieving an over-all average of 82.51% and 82.29%, respectively. Meanwhile, student evaluations rated this media as "Feasible" with a score of 82.72%. In conclusion, the development of this Android-based mobile learning application for computer operating system material demonstrates significant potential as an innovative educational tool. The validation process highlighted its potential effectiveness and offered valuable recommendations to enhance its educational value. These findings make a meaningful contribution to the ongoing discourse surrounding the integration of technology-driven learning approaches into traditional education, benefiting educators and developers seeking to create impactful mobile learning experiences.
Implementation of Virtual Laboratory of Electronic Commerce Into University Course

Authors:
raw_author_name: Martin Vejačka
raw_affiliation_string: Department of Applied Mathematics and Business Informatics, Faculty of Economics, Technical University of Košice, Slovakia

Abstract: Plenty of information and communication technologies are frequently employed in educational activities to improve the opportunities for students to gain knowledge and experience, including the virtual laboratory. The virtual laboratory is quite often implemented into educational process in many science, technology, and engineering courses at the university level of education. However, the use of virtual laboratory in the field of electronic commerce education is rather rare. In our educational practice, a virtual laboratory of electronic commerce was designed and implemented within the course of electronic entrepreneurship. This paper presents the design of the virtual laboratory of electronic commerce and provides an outline of its integration into the university course's teaching process. The study examines the learning progress claimed by the students who participated in the most current edition of the course delivered utilizing this virtual laboratory. The findings revealed improvement of course participants' experience and abilities in the field of electronic entrepreneurship in e-commerce.
Crime Prediction Using Twitter Sentiments and Crime Data

Authors:
raw_author_name: Muhamad Saraee
raw_affiliation_string: University of Salford

Abstract: The incidence of crime is now of great concern globally. The culprits change their tactics on a regular basis. These crimes affect persons, groups, and the government to the extent a whole lot of budgets are allocated to serve as preventive measure to these crimes. The aim of this research is to predict crime based on Twitter hourly sentiments and crime data records. This is because it has been observed that existing crime prediction models that used Twitter data entail some drawbacks in predicting criminal incidents as a result of the unavailability of hourly sentiment polarity and demographic factors. Additionally, SHAP framework was used for the interpretability to rank the feature based on their importance. The xgboost algorithm was utilized with tuning to have an optimal model. The accuracy of 0.81 (81%) was obtained and an Area Under the Receiver Operating Curve (ROC AUC) score of 0.7079 was obtained. The result of this study indicated that crime could be predicted in real-time in contrast to earlier studies on this subject matter. Consequently, it is advised that this work be applied to real-world situations
Lightweight single image dehazing network with residual feature attention

Authors:
raw_author_name: Huiming Li
raw_affiliation_string: University of Science and Technology Liaoning, School of Applied Technology, Anshan, China
raw_author_name: Jing Leng
raw_affiliation_string: University of Science and Technology Liaoning, School of Applied Technology, Anshan, China

Abstract: The quality of the images captured by the camera deteriorates in hazy weather, which affects the effectiveness of subsequent high-level vision applications. Extensive methods have been proposed to remove haze and restore clear and haze-free images. However, these methods mainly focus on the accuracy of the model, while ignoring the computational complexity and inference speed that make it difficult to deploy on resource-constrained devices. To address the aforementioned problems, we propose a simple but effective single-image dehazing network. The network is based on the classical U-Net architecture. First, the encoder uses a down-sampling operation to extract shallow hierarchical features and reduce the dimension of the features. Then, the degraded features are gradually restored through the cascaded feature recovery module. Finally, the deep and shallow features are fused through the decoder to obtain the recovered images. The proposed method leverages the stacked larger kernel convolutions to enhance the local and global feature learning capability, and better cope with the severe degradation of image quality in dense and non-homogeneous haze weather through the hybrid attention mechanism.