Reviewerly/exHarmony huggingface dataset:
Addressing the Need for Interculturality in Cybersecurity Education

This paper addresses the need for incorporating global virtual team (GVT) projects into cybersecurity education curricula in an effort to develop students’ understanding of different cultures and hone their abilities to work across multiple time zones, communicate using digital communication platforms as well as improve their virtual project and time management skills. An example of a GVTs project, Virtual Business Professional, is presented in order to illustrate how collaborative online international learning (COIL) can be embedded into IT-related coursework. It is the authors’ intention to encourage instructors and administrators at institutions of higher learning to support and carry out transdisciplinary GVT projects in order to best prepare graduates for the challenges of the 21st century global workplace.
Evaluation of AI Models to Update Cybersecurity Curriculum 

This study explores the performance of several Large Language Models (LLMs) across different facets of Cybersecurity Modules. Using prompt engineering, this work evaluates publicly available LLMs for their ability to assess the suitability of secure coding topics based on learning outcomes, categorize these topics following OWASP standards, and generate up-to-date examples for curriculum use. The findings would highlight the transformative role that LLMs would play for future advancements in Cybersecurity education.
Impact of a Cybersecurity Work-Related Course on Students' Career Thoughts and Attitudes

This article proposes a research study conducted at Murray State University Cybersecurity and Network Management program to investigate the impact of work-related experiential learning on college students' career thoughts and attitudes within the context of cybersecurity career development. The Cybersecurity and Network Management program introduced the CNM 518 course based on the Public Infrastructure Security Cyber Education System (PISCES) project that offers practical, hands-on experiences. The proposed research project slated for Spring 2024, aims to assess how this work-related experiential learning influences students' career thoughts and attitudes, using the Career Thoughts Inventory as a measurement tool. This research project emphasizes the importance of reflective learning within CNM 518 and aims to contribute empirical evidence on the impact of work-related experiential learning on students' career thoughts and how such learning experiences positively influence the career decision-making processes and, subsequently, the broader field of cybersecurity education.
Assessing the Effectiveness and Security Implications of AI Code Generators

Students, especially those outside the field of cybersecurity, are increasingly turning to Large Language Model (LLM)-based generative AI tools for coding assistance. These AI code generators provide valuable support to developers by generating code based on provided input and instructions. However, the quality and accuracy of the generated code can vary, depending on factors such as task complexity, the clarity of instructions, and the model’s familiarity with the programming language. Additionally, these generated codes may inadvertently utilize vulnerable built-in functions, potentially leading to source code vulnerabilities and exploits. This research undertakes an in-depth analysis and comparison of code generation, code completion, and security suggestions offered by prominent AI models, including OpenAI CodeX, CodeBert, and ChatGPT. The research aims to evaluate the effectiveness and security aspects of these tools in terms of their code generation, code completion capabilities, and their ability to enhance security. This analysis serves as a valuable resource for developers, enabling them to proactively avoid introducing security vulnerabilities in their projects. By doing so, developers can significantly reduce the need for extensive revisions and resource allocation, whether in the short or long term.
What Is Interesting and Relevant About Cybersecurity?

Cyber attacks are a common feature of current news and many of them are the result of easy to avoid vulnerabilities in software. It is imperative that students graduating from an undergraduate Computer Science (CS) curriculum understand the consequences of vulnerable code. When developing lessons and assignments, it would be useful to have a sense of students’ attitude toward cybersecurity and appreciation of the need to write secure code. This paper describes an analysis of the results of a survey of students in core CS courses at our large public university, in which students answer free response questions about what they find interesting and relevant about cybersecurity. The survey was conducted in Fall 2022 and repeated in Spring 2023 after cybersecurity interventions were introduced into several core CS courses. We performed a Natural Language Processing (NLP) analysis of the free response answers to determine the overarching themes in the responses. We found that the most prevalent topics students are interested in are cryptography and penetration testing, and did not change over the two semesters. In answer to the question about the relevance of studying cybersecurity, we found that as students progress through the curriculum, what students find relevant moves from protecting their personal data to its importance in job duties and writing secure programs. When developing lessons and assignments, it may be helpful to introduce cryptography or penetration testing to engage students. Also, students should be taught early and often about the relevance of cybersecurity in their future job duties.
Controlled bidirectional remote implementations of partially unknown quantum operations

Abstract By blending the ideas of controlled teleportation, bidirectional teleportation and remote implementation of quantum operations, we investigate the bidirectional transmission of quantum operations under the control of one supervisor. Firstly, we provide a method for generating a class of multi-particle entangled states, including ﬁve-particle and seven-particle entangled states, using a nine-particle entangled state as an example. Then using our constructed ﬁve-particle entangled state as a quantum channel, we propose a new controlled bidirectional protocol for remotely implementing partially known quantum operations (PUQOs for short) of one qubit within the two restricted sets satisfying speciﬁc conditions. Subsequently, exploiting a nine-particle entangled state as the quantum channel, we extend it to the case of two-qubit quantum operations which come from eight restricted sets. Replacing two PUQO of two qubits by a PUQO of one qubit and a PUQO of two qubits, we put forward another new asymmetric controlled bidirectional protocol for remotely implementing PKQOs via a seven-particle entangled state as the quantum channel. In these protocols, by using universal recovered operations performed by the receivers, the senders can simultaneously exchange their PUQOs as long as the controller collaborates, where each PUQO acts on the corresponding unknown state owned by the remote recipient.&amp;#xD;
Unsupervised Clustering on Paleochannel Detection with Curvature-Based Attribute

Abstract This research focuses on the application of advanced seismic data processing techniques and unsupervised clustering algorithms to accurately identify and map paleochannels in the high-resolution Maui seismic dataset. Pre-processing steps were applied to enhance data quality, followed by the calculation of a positive curvature attribute used as input for multiple clustering algorithms. The study evaluates four state-of-the-art unsupervised clustering methods and employs Principal Component Analysis (PCA) for result refinement and differentiation. By analysing the effectiveness of the algorithms, we demonstrate that Fuzzy C-means and Birch provide optimal segmentation of paleochannels. This automated approach not only overcomes the challenges of noisy data but also opens avenues for similar applications in seismic interpretation. The research underscores the significance of the unsupervised method in facilitating efficient resource exploration, emphasizing the integration of PCA to enhance segmentation accuracy and reduce human intervention. This study contributes to the sustainable management and extraction of natural resources, underscoring the potential of advanced techniques in remote sensing analysis.
THE EFFECTIVENESS OF THE JOLLY PHONICS METHOD ON LETTER RECOGNITION ABILITY IN 5-YEAR-OLD CHILDREN THROUGH LETTER CARD MEDIA

Children aged 0-6 years are a fundamental educational period because development at this age determines development at the next age, which is determined by various stimuli provided from an early age. This research aims to determine the effectiveness of the jolly phonics method in improving the ability to recognize letters in five year old children using letter cards at TK X Surabaya. This type of research is experimental research in the form of Single Subject Research (SSR) using an ABAB design. The subject of this research was one of the TK X students in Surabaya. Data collection techniques in this research used pretest and posttest. The data obtained was analyzed using comparative descriptive. The results of the research show that the grades obtained by children have increased from before. At the first baseline the score was 2, and after the first intervention the child's score increased to 4. At the second baseline measurement the child obtained a score of 6, and after the second intervention the child's score increased to 8. Based on the research results, the use of the jolly phonics method is efficacious in improving children's letter recognition skills through letter cards for Kindergarten X Surabaya children.
Research on Teaching Practice of English for Science and Technology Based on Multimedia Technology

The purpose of this paper is to study the practice of multimedia technology in the teaching of scientific and technical English. With the rapid development and popularisation of computer technology and the deepening of educational concepts, multimedia-assisted English teaching has become one of the most important foreign language teaching modes at present. This study firstly analyses the impact of multimedia technology on English teaching, secondly faces the advantages and challenges of multimedia technology in the teaching process, and finally explores the use and effect of multimedia technology in scientific and technological English teaching based on the data of the survey and research. The results of the study show that for college English teachers in colleges and universities, they should fully explore the advantages of multimedia technology in the process of using it and use it skillfully in teaching practice, which will have a positive effect on improving the quality of English teaching and deepening the reform of college English teaching.
A Geospatial Verification Method for Severe Convective Weather Warnings: Implications for Current and Future Warning Methods

Abstract Legacy National Weather Service verification techniques, when applied to current static severe convective warnings, exhibit limitations, particularly in accounting for the precise spatial and temporal aspects of warnings and severe convective events. Consequently, they are not particularly well-suited for application to some proposed future National Weather Service warning delivery methods considered under the Forecasting a Continuum of Environmental Threats (FACETs) initiative. These methods include Threats-In-Motion (TIM), wherein warning polygons move nearly continuously with convective hazards, and Probabilistic Hazard Information (PHI), a concept that involves augmenting warnings with rapidly updating probabilistic plumes. A new geospatial verification method was developed and evaluated, by which warnings and observations are placed on equivalent grids within a common reference frame, with each grid cell being represented as a hit, miss, false alarm, or correct null for each minute. New measures are computed, including false alarm area, and location-specific lead time, departure time, and false alarm time. Using the 27 April 2011 tornado event, we applied the TIM and PHI warning techniques to demonstrate the benefits of rapidly updating warning areas, showcase the application of the geospatial verification method within this novel warning framework, and highlight the impact of varying probabilistic warning thresholds on warning performance. Additionally, the geospatial verification method was tested on a storm-based warning dataset (2008-2022) to derive annual, monthly, and hourly statistics.
Changes To the Management Control Function Due to The Impact of The Covid-19 Pandemic

Since the division of management into individual functions, controlling has – despite some turbulences – been an integral part of management theory. The Covid-19 pandemic broke out in the first half of 2020 and hit the work of perhaps every manager hard. Managers had to adapt their functions, including controlling, because the crisis threatened not only the existence of the organisation but also the lives of its members. Crises also bring opportunities for the wise, and the changes they bring can become permanent. However, a literature review of academic papers revealed that this opportunity was rarely taken and that the authors paid little attention to changes in controlling. Based on a questionnaire survey of 425 organizations operating in the Slovakia (conducted in the spring of 2022), this paper presents case studies of 17 companies on how the controlling function has changed for a number of their managers due to the pandemic. The sample consisted of those companies from which more than one manager responded. Compared to the overall sample, the case study companies did not report a single significant change in function, but the proportion of larger changes was almost double that of all businesses analysed. Although in many cases managers have made changes to control and will retain these changes, the results suggest that this management function has seen only minor, or no changes and the crisis of the Covid-19 pandemic did not turn into an opportunity to optimize it.
Developing a Trustworthy Cloud Service Framework for Cloud Computing Security

Cloud computing is quickly becoming an essential platform for sharing infrastructure, software, apps, and corporate resources. Cloud computing has many advantages, but users still have a lot of questions about the dependability and safety of cloud services. Concerns about the hazards associated with the possible exploitation of this technology to undertake criminal operations might threaten the undeniable success of cloud computing. To ensure happy customers, the cloud model must prioritize safety, openness, and dependability.Its main purpose is data security, which concerns everyone contemplating cloud services. A cloud-based assault protection system will safeguard data, communications, and information.According to studies, the recommended technique is successful, however updating tags and blocks when data is amended requires computation and communication expenses. Scalability, data secrecy, and decentralized double encryption improve security.The proposed method employs cloud servers for computation-intensive tasks and protects data content by depriving data owners and users of privilege information. Also ensures responsibility. Sharing health data on the cloud is feasible, cost-effective, efficient, adaptive, and better for individuals. This"Advanced Encryption Standard with Lightweight Cipher-text-Identity and Attribute-based Encryption" (AES-lightweight CP-ABE) aims to protect sensitive data.
Identification of Security Issues and Finding their Solution in Cloud Computing

The advent of Cloud Computing has simplified on-demand access to IT services including data storage and administration. In addition, it seeks to secure systems and make them functional. With these benefits, there are significant security constraints for cloud providers. When it comes to cloud computing, one of the biggest obstacles is ensuring the safety of data and services. Considering this, several solutions have been put into place to boost cloud security by keeping an eye on everything from resources to services to networks to identify and stop intrusions as soon as they occur. The term "Intrusion Detection System" (IDS) refers to an improved technique used to regulate network traffic and identify abnormal activity. This paper presents the identification of Security Issues and Finding their Solution in Cloud Computing using machine learning techniques including Support Vector Machine (SVM), Random Forest (RF), K-Nearest Neighbor (KNN), Multi-Layer Protocol (MLP). This model is trained and evaluated using NSL-KDD dataset. The experimental findings show the highest accuracy of 93.5% with the use of SVM model. As a result, the achieved results demonstrate strong performance concerning Accuracy, Precision, Recall, and F1-Score when compared to recent studies.
Exploring Colonial Heritage (EXCOTAGE) Application as a Mobile Technology-Based History Learning Education

This research focused on the history learning concerns among 11th-grade Social Science students at MAN Kota Pasuruan, a senior high school. To support research activities, the instruments included a questionnaire to measure the effectiveness of the product. The questionnaire was distributed to validators and users, specifically the 11th-grade students of social science at MAN Kota Pasuruan. The participants in this study were selected using purposive sampling for validation and simple random sampling for testing. During the implementation, this research used the ADDIE research and development model. The product effectiveness analysis technique developed by Nunuk Suryani, Achmad Setiawan, and Aditin Putria was used for analysis of the collected data. Based on the comparison results, it is evident that the developed product is truly valuable, appealing, and aligned with the current advancements in learning technology. Meanwhile, in the effectiveness testing, it was concluded that the product has been highly effective based on expert or user assessments.
Mobile Applications in Otology: A Scoping Review

This scoping review aims to comprehensively synthesize current research on the use of mobile applications in otology, identify research gaps, and assess the feasibility of mobilebased applications in this field. The aim is to support and direct future research studies on harnessing the potential of mobile technology in otology. Following the PRISMA-ScR guidelines, a literature profiling approach was adopted using the Google Scholar search engine from September 2022 to January 2023. Only articles published in English between 2012 and 2023 were included, resulting in a final sample size of 32 papers. The results revealed an increasing focus on the remote delivery of healthcare, with the majority of the articles originating from the United States and authored by medical doctors. Two main categories were identified within the 32 selected journals: audiology and smartphone otoscopy. A total of 124 mobile applications were identified in these journals, with 48 applications for hearing tests and 27 applications for smartphone otoscopes being the most commonly utilized. Mobile applications have the potential to serve as valuable tools in the field of otology, especially in the context of smartphone hearing tests and smartphone-enabled otoscopes. However, further research is needed to assess their effectiveness, accuracy, and appropriate usage.
The Role of Technology in Improving Public Sector Performance in Nigeria

Over the years, the public sector in Nigeria has faced various challenges, including bureaucracy, corruption, and inefficiencies in service delivery, which have dampened the efficiency of the public sector, especially in revenue generation. However, the rapid advancement of technology globally, the increasing rise of globalization, and the contagion effect across the globe have led to the adaptation of technology to a great extent in developing economies. Nigeria, as a developing economy, relies on the Western world for most of its technology, which is accompanied by a huge cost of the transfers, and the country is left with the dilemma of whether technology truly promotes public sector efficiency and growth. Against this backdrop, this study seeks to investigate the impact of technology on public sector efficiency in Nigeria. The study employed monthly data ranging from 2010 to 2022 and was extracted from the database of the Central Bank of Nigeria. The independent variables are Information, Communication, and Technology which served as a proxy for Technology, while Foreign Direct Investment, Exchange Rate, and Inflation were also included as the control variables in the model. While public sector efficiency which is proxied by public revenue represent the dependent variable. The result of the unit root showed that the variables are stationary at levels and first difference, hence the use of the ARDL model which established a short-run relationship among the variables. The result, in the long run ARDL showed that technology had a positive and significant impact on public sector efficiency. The study, therefore, recommends that the Government needs to intensify efforts in the process of acquisition and implementation of technology in the public sector to improve revenue generation for the Government and, invariably, output. A large portion of government budgetary allocations should be channeled more toward adequate development of IT infrastructures to increase efficiency. Ultimately, the Monetary and Fiscal Authorities should collaborate in churning out policies that will improve economic parameters such as exchange rate, interest rate, Inflation, output, etc.
Education in the Age of Artificial Intelligence

The age of artificial intelligence (AI) is just around the corner. This article presents the AI-based technologies that represent a significant change for the learning and teaching process. The article describes the potential of personalised learning, automated assessment, chatbots, predictive models, intelligent robots, and virtual and augmented reality for education, by reviewing scientific literature. Nowadays, knowledge of these technologies is essential for teachers. In this article we conducted a qualitative survey involving teachers. The aim of our survey is to assess the perceptions of educators about the use of AI in education. Our results show that educators are open to these technologies regardless of generation and discipline. The study summarizes the appropriate use of these technologies, the role of teachers, their attention to students and their active communication, as only this can lead to effective education in the age of artificial intelligence.