Reviewerly/exHarmony huggingface dataset:
Analysis of information security among Hungarian technical higher education students

The primary objective of this research is to delve into the password habits of newly enrolled freshmen specializing in mechanical engineering and safety technology. Our overarching goal is to assess the level of information security awareness among these students immediately following their completion of secondary grammar school. To achieve this, we administered a questionnaire focused on information security awareness during the students’ first week at the university. Specifically, we aimed to gain insights into the length and complexity of the passwords they employ for vital systems, such as email and social media platforms. It is a well-recognized fact that longer passwords generally offer superior security compared to shorter ones.Another pivotal facet of our investigation revolved around the intricacy of the passwords in use. Did these passwords comprise solely lowercase letters, or did they encompass uppercase letters, numbers, or special characters like “;” or “,”? Moreover, we sought to delve deeper into the students’ password practices, including how frequently they alter their passwords and whether they adopt the same password for multiple systems. Employing identical passwords across various systems can pose substantial risks, as a breach on one platform could potentially expose other systems used by the students to unauthorized access.It is noteworthy that students pursuing safety technology engineering degrees are anticipated to receive more extensive education in information security throughout their university tenure compared to their mechanical engineering peers. Consequently, our initial hypothesis posited that safety engineering students would exhibit superior password habits. However, subsequent statistical analysis revealed no significant correlation between the choice of faculty and the password habits of incoming students.Nevertheless, the results did highlight alterations in how students store their passwords, albeit no other substantial changes were detected in the numerous facets we scrutinized. To foster more secure password practices among students, it becomes evident that alternative pedagogical methods need to be explored and implemented. This could entail incorporating specialized information security training modules or workshops into the curriculum to equip students with the knowledge and skills necessary for maintaining robust password security practices in an increasingly digital world.
Complementing text embeddings with structural information

This study delves into various combinations of text and network embeddings, assessing their impact on the accuracy of graph machine learning tasks like node classification on the Cora citation dataset. The paper investigates methods to combine graph neural networks with straightforward text embeddings to boost quality in downstream graph machine learning tasks. The integration of both network representations and natural language processing methods is utilized to capture a broader array of information, thereby enhancing the efficiency of the models. Through this exploration, it is discovered that a fusion of these methods can significantly improve classification accuracy, offering a valuable reference point for researchers seeking to refine and optimize these models. The work is a continuation of our previous studies in the field, which laid a solid foundation for understanding and improving fusion models and graph machine learning tasks.
Why does von Neumann obstruct deep learning?

The operation of the brain has inspired von Neumann’s famous paradigm. How did the data- and event-controlled analog brain inspire the model of the instruction- and clock-controlled digital computer? One of his great ideas was to store the computer’s knowledge in the computer’s memory. Why loading a ready-made software program into its memory is the only way to teach the computer’s hardware to do something? Given that the instruction execution of the processor is so fast, why is the software-implemented training by machine learning so painfully slow and power-wasting? Is using another computing model, component, or algorithm with faster operation risk-free?
Environmental and Disaster Risk Reduction literacy among Senior High School students in Sibagat Agusan del Sur

Abstract. The study aimed to determine the level of environmental and disaster risk reduction literacy among Senior High School students in Sibagat, Agusan del Sur, Philippines. The study utilized a modified questionnaire to collect data from various Senior High School strands. The study found that social media was the most used source of information on environmental and disaster risk reduction. Earthquakes and floods were the most experienced hazards, with early evacuation as the most popular coping strategy. Students possessed high levels of awareness on environmental issues contributing to disaster risk and high level of practices towards disaster risk reduction. The study has significant differences in both awareness and practices among different senior high school strands. The level of practice strongly and positively correlates with the level of awareness. The Science Technology Engineering and Mathematics (STEM) strand had the highest mean score for awareness and the Agricultural crop production strand had the highest mean score for practices toward disaster risk reduction. The study found a negative correlation between awareness on environmental issues and Electrical Installation and maintenance (EIM) strand. Conversely, practices towards disaster risk reduction exhibited strong positive correlation with agricultural strand while demonstrating a strong negative correlation with EIM strand and both correlations were statistically significant. The study recommends prioritizing the promotion of environmental and disaster risk reduction literacy among secondary school students by incorporating the topic into the school curriculum, reinforcing related programs and activities, and institutionalizing eco-movement through student organizations.&#x0D; &#x0D; Keywords: Environmental literacy, Disaster Risk Reduction literacy, Sibagat Agusan del Sur, Philippines&#x0D;
Enhancing Listening Comprehension through Youtube Videos for Non-English Major Students

The goal of this study is to enhance students' listening comprehension by using YouTube videos. This study employed classroom action research Kemmis and Taggart’s design as its methodology. There were thirty- five of non-English major students in the subject. The findings demonstrate a significant improvement in students' listening comprehension. After the teaching and learning process using YouTube videos, it reveals that the students' mean score in cycle 1 was 68.3, with 68.57% passing the minimum standard score. It continued to cycle 2 with a mean score of 71.0 and a passing percentage of 85.71%, indicating a significant improvement in listening test results. In cycle 3, students' mean score was 84.2, and 94.29% passed the minimum standard score. Hence, the implementation of YouTube videos as a learning media can help students to enhance their listening comprehension. It is proven by the improvement of students’ mean score and their learning performance in each cycle.
Teaching English Vocabulary to Young Learners through Group Work

Over the last few decades, teaching English become a phenomenon in our country, especially for young learners. English is taught as a main subject in kindergarten and elementary schools. Like any other children, young learners accept new foreign languages easily, but they get bored very fast if the teacher is teaching them using the old conventional methods and techniques. This paper aims to prove that group work is an effective technique used for young learners' vocabulary acquisition. The study used a quantitative method, with a sample of fifth-grade students in SD Wojo Yogyakarta. The population consisted of 48 students, who were divided into a control class and an experimental class. The experimental class is a class that learns vocabulary through group work, while the control class is a class that conducts conventional methods. The collected data were analyzed using a T-test. The T-test score of 1.68 was found to be less than 0.05. This means that there are differences between learning in groups (group work) and traditional methods. Moreover, group work is more effective than traditional methods in improving young learners' vocabulary mastery.
Designing More-Than-Human AI: Experiments on Situated Conversations and Silences

Every interaction with an AI-powered device invokes a vast planetary network. Operating on temporal and geographical scales that go beyond humans, Artificial Intelligence (AI) systems pose various societal and environmental challenges. These challenges encompass issues such as the extraction of both human and nonhuman resources and knowledge, and the reproduction of inequalities. To tackle these concerns, scholars in Design and Human-Computer-Interaction emphasize the urgency for designers to cultivate non-anthropocentric approaches. In the pursuit of establishing a non-anthropocentric design practice for AI, this paper adopts a more-than-human orientation in the design of conversational agents (CAs). We start by presenting a series of design experiments, including workshops, videos and performances, that shed light on the anthropocentric biases ingrained in CA interactions. These experiments unveil how CAs are designed to recognize and address only specific human voices and concerns. Building upon these insights, we introduce two outcomes that chart an alternative path – the first involves a collection of interactive prototypes for CAs that are capable of listening and responding to more-than-human “voices” while the second entails a tool to support designers in noticing more-than-human entanglements, in the form of a podcast. We conclude by reflecting on how the knowledge gained from our design inquiry can illuminate future design practices and contribute to AI research as a whole.
TRAINING ON MAKING SHORT VIDEOS TO SUPPORT THE PROVISION OF EDUCATION TO TECHNOLOGY-BASED COMMUNITIES

DAGUSIBU is one of the programs of the Indonesian Pharmacists Association that aims to provide education on how to get, use, store, and dispose of medicines correctly. Before the pandemic, socialization of this program is conducted by gathering the public in a place and health workers providing education directly. However, the Covid-19 pandemic has changed many settings, including how DAGUSIBU education is provided. Instagram is one of the social media that is widely used by Indonesians. It has a feature called reels that allows the owner to upload short videos, and they will not disappear except the owner delete them. But not everyone knows how to make educational reels/stories that are interesting and aesthetic. For this reason, our team intends to provide training on making Instagram reels or stories by utilizing the Canva Application. Based on the results from the pretest and posttest questionnaires given to the participants, it can conclude that the training activities for making Instagram reels using the Canva Application can be well understood and followed by the participants.
A Trust Usage Control Approach for Media Player Based on Intel SGX

With the rise of music streaming, users can easily access paid audio content on their devices. At the same time, music publishers require audio platforms to implement digital rights management (DRM) on devices to prevent illegal distribution of copyrighted audio. However, existing DRM schemes rely mainly on obscurity, which experienced reverse engineers can defeat. We propose a usage control scheme using trusted computing to address this problem. As an extension of DRM, usage control provides more data-related protection. By leveraging SGX to protect keys, we ensure encrypted audio files stored locally are not vulnerable to reverse decryption, effectively preventing pirated software from supplying pirated audio to users via APIs.
ANALISIS PENGENDALIAN INTERNAL PENGELUARAN KAS DANA BANTUAN OPERASIONAL PENYELENGGARAAN (BOP) DI RA AN-NAJM BEKASI UTARA

The Operational Assistance Fund (BOP) is provided by the government for each school unit entity that meets the criteria. This program is provided by the government to improve the quality of school education, reduce the cost of non-personnel operational activities, as well as help ease the burden on underprivileged people who want to send their children to school. BOP fund management can be channeled well if fund managers in the internal control system run as well as possible. Internal control must protect school coffers and cash expenditure documents so that the objectives of BOP funding can be achieved by school units. The purpose of this study is to test and analyze whether the internal control of BOP fund cash expenditure running in An-Najm RA Bekasi-Utara has been effective or not. This type of research is a case study with the object of research Proof of Cash Out in the period 2018 and 2019. Data in this study were obtained by means of documentation, interviews, observations. The data analysis technique used is stop or go sampling. The results of this internal control analysis research show the authorization of cash expenditures, lack of completeness of documents, and incompatibility of information with other documents. In the data collection technique through interviews, it can be concluded that the internal control running in the An-Najm Bekasi-Utara RA has not been in accordance with COSO. The 5 components imposed by COSO have not been fulfilled by RA An-Najm North Bekasi.
An Analysis of The Scaffolding Process to Teach English for Young Learners in Elementary School

The fact that English served as the local content had given another challenge to the Elementary school students in learning English as a Foreign Language. Although, now, curriculum is in the transition into a freedom of learning Independent which English starts to be included as the subject to learn in first and fourth graders, students are still struggling in following the teaching and learning process of the subject. The right techniques must be selected and applied to help students achieve the learning goals. One promising technique to teach EYL is scaffolding. This study aimed (1) to reveal the Scaffolding process in teaching English and (2) to find out benefits of the scaffolding process in teaching English for Young Learners in one state Elementary School in Padangan, East Java. The participants were the English teacher and 15 students from fourth grade. This study applied mixed-method research. The instruments to obtain the data were observation, questionnaire, and interview. The research findings that the scaffolding process existed in the teaching and learning process of English in the elementary school. Several scaffolding strategies were applied in the teaching process of English subjects. The students’ responses towards the scaffolding reached a medium qualification which was 67%. Besides, the students’ responses on the benefits of scaffolding showed medium qualification which was 66%. Furthermore, it could be concluded that the scaffolding process were well implemented in the process of teaching English in Elementary school. Also, the existence has given positive responses to the students in learning English.
Machine Images As Media to Improve Cadet's Ability in Writing Descriptive Texts

This study aims to determine the benefits of using machine images in improving the writing skills of cadets. Quasi-experimental designed was used by the researcher because the subjects were not randomly assigned. The population was the Polytechnic Bumi Akpelni of Marine Mechanical Engineering Technology Cadets in 2022/2023 academic year. In this study, the researcher used purposive sampling technique. The samples consisted of the cadets of Batch 57 semester 3 consisting of two classes. At the beginning of data collection, the researcher prepared the data through a lesson plan, namely the instruction instrument for the writing test and statements for the questionnaire. The teaching phase was carried out to measure whether both were appropriate, pre-test to find cadets' initial abilities and post-the test tests whether the treatment is effective in learning descriptive text. Through data analysis used, namely the scoring system in the form of rubrics, then to see significant differences in scores through studies of normality and homogeneity. From the pre-test result, the average score obtained was 56.66 from the experimental group, while it was 57.77 from the control group. After getting the treatment, the post-test average score of experimental group was 77.77 and control group was 70.10. From the t-test analysis, it was found that t-count was greater than t-table (2.50&gt; 1.55). It indicates that there is a significant difference of the scores from the two groups. Therefore, the researcher concluded that Learned Image Machine is very helpful in improving the ability to write Descriptive Text compared to ordinary teaching without this media.
Exploration of Curriculum Design and Teaching Evaluation in College English Education

With the advent of globalization, English, as the universal language for international communication, occupies a crucial position in China's university education system. College English education is not only an important way to cultivate talents with international competitiveness, but also a key link in improving the overall education level of our country. However, how to conduct scientific and effective curriculum design, as well as how to conduct reasonable and fair teaching evaluations, has always been a major challenge faced by college English education.This article conducts an in-depth exploration of curriculum design and teaching evaluation in English education in Chinese universities. Firstly, an overview of the concepts and roles of curriculum design and teaching evaluation was provided, clarifying their importance in English education in universities. Secondly, the principles and content of college English curriculum design, as well as the principles, methods, and tools of teaching evaluation, were elaborated in detail. Next, the mutual influence between curriculum design and teaching evaluation was analyzed, as well as the guiding role of curriculum design in teaching evaluation and the feedback role of teaching evaluation in curriculum design. Finally, a summary of the entire article was provided.
BLOKÇEYN ŞӘBӘKӘSİNİN KOMPONENTLӘRİNİN İŞLӘNMӘSİ İLӘ İNFORMASİYA MÜBADİLӘSİNİN TӘHLÜKӘSİZLİYİ

Blockchain technology is an emerging technology that has the potential to change the way information is stored and transmitted. Its main components are the concepts of decentralization, transparency and distribution, which, in short, are the absence of any central control system between the source and the destination, the interdependence of the blocks used by the participating parties as a chain, and continuously, the registration and storage, and finally, authorization processes after authentication of the information it needs by means of a key belonging to the original owner, as in asymmetric encryption, with the possibility of any loss and at the time of need, stored at millions of points. The purpose of this summary is to discuss the application of information security for data transmission against cyber attacks in blockchain technology. Different methods of implementing security measures such as encryption, digital signatures and multi-signature transactions, different types of cyber-attacks that blockchain technology is vulnerable to and how to prevent these attacks has also been discussed. Also, the role of smart contracts in ensuring secure data transfer and the importance of developing secure protocols has been emphasized. In terms of security, it has also considered the future of blockchain technology and how it can be used to further increase the security of data transmission.
CYBERSECURITY IN U.S. AND NIGERIA BANKING AND FINANCIAL INSTITUTIONS: REVIEW AND ASSESSING RISKS AND ECONOMIC IMPACTS

The digital transformation of the global financial landscape has brought forth unprecedented opportunities and challenges, particularly in the realm of cybersecurity. This paper delves into the intricate dynamics of cybersecurity within the banking sectors of two pivotal players in the global economy: the United States (U.S.) and Nigeria. Through a comprehensive exploration, the study underscores the profound significance of robust cybersecurity measures in safeguarding the integrity and security of financial institutions in today’s interconnected digital age. The research begins with a deep dive into the background of cybersecurity in financial institutions, revealing the escalating importance of digital defenses, especially in an era marked by frequent and sophisticated cyber threats. The interconnectedness of today’s financial systems and the rise of digital transactions amplifies cyber breaches’ potential risks and economic impacts. A comparative study of the U.S. and Nigerian banking systems showcases the unique challenges and solutions each country’s financial institutions face. While the U.S. grapples with issues like money laundering and the need for increased competition, Nigeria’s banking landscape is influenced by factors such as the potential of Islamic banking and the challenges of financial inclusion. Emerging technologies, particularly artificial intelligence, are highlighted as cybersecurity game-changers. Their ability to predict, detect, and respond to threats in real-time offers a promising avenue for enhancing digital defenses. However, the paper also cautions that with technological advancements come new challenges, as adversaries too harness these technologies for more sophisticated attacks. The paper concludes with a forward-looking perspective, emphasizing the need for continuous investment in research, collaboration, education, and agile policymaking. It advocates for a unified approach, where financial institutions, regulatory bodies, and cybersecurity firms work in tandem to ensure the security and trustworthiness of the financial sectors in both nations. In essence, this research provides a comprehensive overview of the current state of cybersecurity in the banking sectors of the U.S. and Nigeria, offering insights and recommendations for fortifying defenses and ensuring financial stability in the digital age.
Metaverse development based on blockchain technology and NFT in China

In 2021, the concept of "meta-universe" has attracted a lot of attention worldwide. This paper discusses the significance of Blockchain-based Non-Fungible Token (NFT) for the development of China's metaverse industry. In addition, in the context of China's unique institutional environment, this chapter compares current Blockchain and NFT-related regulations and explains whether and how these regulations facilitate the development of China's digital economy. Finally, a case study will be conducted and a Citespace analysis will be performed to provide some recommendations. This chapter will highlight the importance of balancing governance and innovation to facilitate the application and value of emerging technologies in the development of China's metaverse ecosystem and Blockchain.