Reviewerly/exHarmony huggingface dataset:
Penerapan Media Pembelajaran Daring Terhadap Minat Belajar Mahasiswa

This study is entitled The Application of Online Learning Media to Students' Learning Interests during the Covid-19 Pandemic. The purpose of this study was to determine the Application of Online Learning Media to Student Learning Interests during the Covid-19 Pandemic Period of Economic Education Study Program, Indraprasta University, PGRI. The method to be used is a Completely Randomized Design experiment that does not use control and comparative classes. Researchers will use two classes, class A as experimental class 1 with zoom learning media and class B as experiment class 2 with Google Classroom learning media, from the two methods used by researchers will see and compare student learning outcomes and how student interest in learning with both media the learning. Based on the research results, it can be concluded that there is an influence of zoom learning media on student learning interest. There is an effect of GC learning media on student interest in learning. There is no difference in interest in learning through zoom and GC learning media.
EVALUATING THE TRANSLATION QUALITY OF CHILDREN'S LITERATURE IN THE LET’S READ MOBILE APPLICATION USING ANGELELLI'S SCORING RUBRIC TO ASSESS SOURCE TEXT MEANING ACCURACY

This study aims to comprehensively evaluate the translation quality of a children's story, "Dive", featured in the Let's Read mobile application. Utilizing Angelelli's scoring rubric, the research focuses on assessing the accuracy of source text meaning in the translated children's literature, examining elements such as fluency, readability, cultural adaptation, and style. By conducting an in-depth analysis of the Indonesian translation of "Dive," the study uncovers the strengths and weaknesses of the translation process, as well as any challenges encountered in adapting the text for a young Indonesian audience. The research methodology involves selecting the story "Dive" and its Indonesian translation, "Menyelam," from the Let's Read mobile application, and assessing the translation using Angelelli's scoring rubric, which ranges from 1 (poor) to 5 (excellent). The findings from this study contribute significantly to the ongoing discourse on translation quality assessment, particularly in the context of children's literature. The results offer valuable insights for improving the translation process and enhancing the reading experience for young audiences accessing the Let's Read mobile application. Furthermore, the study highlights the importance of accurately conveying the source text meaning to maintain the educational and entertainment value of translated children's literature, while also emphasizing the need for cultural sensitivity and adaptation in order to create an engaging and relatable reading experience for children from diverse backgrounds.
Digitalization in Early School Education in North Macedonia

This chapter reports on the various initiatives, projects and challenges faced by the introduction of digitalization in the classroom in the Republic of North Macedonia. The Ministry of Education and Science with the help of National experts in setting up the Program for development of ICT in education gave recommendations for implementing changes in the educational process and suggested the development of strategies for the sustainability of such essential transformation. The good reactions to, and active participation of, young students and teachers to innovative projects supported by many institutions and external financial help allowed the easy implementation of ICT also in schools in rural areas. These led to several prizes being awarded by Microsoft in the international context to digital programs developed and used by students in primary schools. The further challenges represented by the distance learning imposed by the recent pandemic were linked to the lack of available digital platform and have been overcome thanks to the clear guidelines received from the Ministry of Education, the creation of video and the support from private initiatives and the dedication of Macedonian experts from abroad the country. The importance of Friends of Education meetings to informing, and doing workshops for, teachers facilitating the implementation of STEM digital innovative programs in the classroom is also outlined.
PRE-SERVICE TEACHERS’ DIGITAL COMPETENCIES: A TRANSFORMATIVE MEDIUM TOWARD LANGUAGE TEACHING

Given the subsequent turn of the epidemic in language education field, this study aimed to investigate the perceptions of pre-service teachers in the English Language Education Department of Atma Jaya Catholic University of Indonesia toward their own digital competencies within their teaching performance. Regarding the use of information and communication technologies (ICT), pre-service teachers are expected to have sufficient high-level digital competencies. In this context, digital competencies are seen as a means to transform language education in the post-pandemic era. In this study, digital competencies refer to five dimensional skills, namely ‘information and data literacy’, ‘communication and collaboration’, ‘digital content creation’, ‘security’, and ‘problem solving’. Fifty-five (55) pre-service teachers who were still enrolled in some particular ICT courses and who performed online teaching participated in the study by completing the Teacher Competency Framework Questionnaire and doing an interview session to assess their digital competencies in the use of ICT within online teaching context. The results showed that the pre-service teachers placed a high value on all five dimensions of digital competence to facilitate their online teaching through the use of ICT, covering both technological and pedagogical functions, making their online teaching delivered more beneficially and effectively. The more acknowledgements toward the role of their digital competencies and required skills of ICT use for pre-service teachers have been increasing due to the switching from offline to online classroom settings as a consequence of COVID-19 pandemic. However, further research into integrated curriculum planning based on the schoolwide ICT curriculum is recommended to promote constructive strategies to support the development of the pre-service teachers’ digital competencies. The much wider digital competencies scope and more specific pre-service teachers ICT educational programs investigation should be adapted in the future research to provide deeper and further analysis toward the pre-service teachers’ self-efficacy about their own digital competencies in online learning context at the same time.
21st Century Learning Design for Educators to Improve the Competence of Technology Literacy

Technology literacy is a competency that cannot be avoided by educators, especially during the current Covid-19 pandemic. They are required to possess and improve their technological skills to support the learning process, especially as face-to-face implementation is not possible. However, many educators face difficulty and have not mastered technology in the field of learning, particularly various technology applications connected to the Internet, which facilitate remote or online learning. To address these challenges, the community service team from the Mathematics department at Universitas Islam Bandung took the initiative to organize education and training activities as a solution to improve educators’ technological literacy competence. One of the most suitable learning methods applied during this pandemic is the 21st Century Learning Design (21CLD) packaged in a Microsoft Certified Educator (MCE) certification program. Through this MCE training activity, it is hoped that educators can enhance their technological literacy competencies and apply them in their respective educational institutions along with their students. The MCE training activities were conducted for 8 days, starting from May 26, 2022, to June 20, 2022, every Monday and Thursday, from 15.00 to 18.00 online via Zoom conference apps. The training was attended by educators from MTs and SMK at Tarogong District, City of Garut, Indonesia.&#x0D; Keywords: microsoft certified educator, 21CLD, century, learning, design, sertification
The Attendance System Using a Quick Response Code-based Website at SMK Negeri 1 Tinambung

SMK NEGERI 1 Tinambung is one of the vocational high schools in Polewali Mandar Regency that still employs a manual teacher attendance process. This research aims to implement a attendance system using a Quick Response Code-based Website at SMK Negeri 1 Tinambung, determine the system efficiency level, as well as assess user responses to the system. This is because the manual attendance process conducted by staff still exhibits deficiencies in recording and compiling attendance reports in a timely manner. The design of the attendance system using a Quick Response Code-based Website utilizes the PHP programming language with MySQL database processing. The implementation of this system employs a quantitative method to obtain data analysis by distributing questionnaires to respondents who have tried the system. The results of the quantitative research method indicate that the implementation of the attendance system using a Quick Response Code-based Website is suitable for implementation within the school environment due to its efficiency and positive response from teachers as users. Testing of the software system using the black box method also demonstrates the system's success in its application.
Adversarial Example Detection and Restoration Defensive Framework for Signal Intelligent Recognition Networks

Deep learning-based automatic modulation recognition networks are susceptible to adversarial attacks, posing significant performance vulnerabilities. In response, we introduce a defense framework enriched by tailored autoencoder (AE) techniques. Our design features a detection AE that harnesses reconstruction errors and convolutional neural networks to discern deep features, employing thresholds from reconstruction error and Kullback–Leibler divergence to identify adversarial samples and their origin mechanisms. Additionally, a restoration AE with a multi-layered structure effectively restores adversarial samples generated via optimization methods, ensuring accurate classification. Tested rigorously on the RML2016.10a dataset, our framework proves robust against adversarial threats, presenting a versatile defense solution compatible with various deep learning models.
Forecasting Daily Maximum and Minimum Air Temperatures in The Cilacap District Using Arima and Exponential Smoothing

This research aims to predict daily maximum and minimum air temperatures in Cilacap Regency using ARIMA and Exponential Smoothing. Data was obtained from recordings carried out by BMKG Cilacap using maximum and minimum thermometers taken from January 1, 2016, to December 31, 2021. The results show that the best forecasting model uses the ARIMA (2,1,2) model for maximum temperature and the ARIMA (1,1,1) model for minimum temperature, with the MAPE value of 2.09% for the maximum temperature and 2.44% for the minimum temperature, while the RMSE value obtained is 0.9177 for the maximum temperature and 0.8001 for the minimum temperature. Based on the ARIMA model, Cilacap's daily maximum temperature in 2022 was predicted to be around 30.6ᵒC, with a 95% confidence interval between 28ᵒC - 35ᵒC, while the minimum temperature was predicted to be around 25.1ᵒC, with a 95% confidence interval between 23ᵒC - 28ᵒC.
Risk-Based Selection of GUI Elements for different Input Devices

Following the U.S. Food and Drug Administration and the EU Medical Device Regulation, manufacturers must design graphical user interfaces (GUI) with appropriate controls that meet risk and usability requirements, including safety, efficiency, effectivity, learnability and satisfaction. To meet these, we collected and categorized commonly used GUI elements and analyzed those based on criteria related to criticality, such as visibility of options or selections, number of options, accuracy, and control speed. We created tabular overviews to display each GUI element's characteristics, enabling the GUI designer to choose risk-, task- and usability-based the most suitable GUI element. These tabular overviews could increase efficiency during early development phases and help avoid common mistakes. While this work has the potential to support choosing appropriate GUI elements, reduce risks and improve usability, its practicality and effectiveness still need to be verified in further work.
Cryptocurrency and Blockchain in Nigeria; Circumstances Surrounding the Validity or Otherwise of Their Transactions.

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Quantum Internet Addressing

The design of the Quantum Internet protocol stack is at its infancy and early-stage conceptualization. And different heterogeneous proposals are currently available in the literature. The underlying assumption of the existing proposals is that they implicitly mimic classical Internet Protocol design principles: “ <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">A name indicates what we seek. An address indicates where it is. A route indicates how to get there</i> ”. Hence the network nodes are labeled with classical addresses, constituted by classical bits, and these labels aim at reflecting the node location within the network topology. In this paper, we argue that this twofold assumption of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">classical</i> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">location-aware</i> addressing constitutes a restricting design option, which prevents to scale the quantumness to the network functionalities, beyond simple information encoding/decoding. On the contrary, by embracing quantumness within the node addresses, quantum principles and phenomena could be exploited for enabling a quantum native functioning of the entire communication network. This will unleash the ultimate vision and capabilities of the Quantum Internet.
Exploring the Process Evaluation of Public English in Higher Vocational College based on Intelligent Platform

As a public basic course in higher vocational colleges, public English plays an important role in implementing the task of moral education and cultivating high-quality technical and skilled talents who can communicate effectively in English. Educational evaluation is the baton of educational development, and the process evaluation should be strengthened in the educational evaluation reform, and the process evaluation model framework and index system should be improved. Based on the process evaluation model and index system developed by us, this paper takes two faculties of a college as the experimental objects of educational evaluation reform and studies how to implement the process evaluation of higher vocational public English courses scientifically and efficiently by using the "Study Pass" intelligent platform, and proposes preliminary countermeasures through feedback and problems.
Improving the Effectiveness of Data-Driven Learning Management

Big data represents a significant decision-making tool in educational processes, allowing for not only improvements in the quality of education, but also the formation of effective strategies, allowing users to effectively make decisions based on the results of predictive and prescriptive analytics. In addition, educational data are used to analyze and predict student behaviors and learning outcomes to ensure the high quality of educational programs.Nevertheless, even though educational data offer significant opportunities, there are a few challenges associated with their effective and timely application, such as compatibility, data processing and storage, security, confidentiality, and ethics. This article reports on a study that aimed to determine whether the effectiveness of learning management could be enhanced through the development of a more rigorous academic environment and a stimulation intervention designed for a particular graduate program at a particular university. The study used data from several study groups. It collected qualitative and quantitative data to examine the impact of the environment and the stimulation of 173 students, as well as benchmark group data from 22 students. The results showed that exposure to a more rigorous academic environment with minimized gamification, as well as the application of a stimulation intervention, was successful in improving scores for several metrics. This article indicates the importance of updating and using educational data to enhance learning management, as well as the need to increase knowledge in this area.
Body Movement Support System for Prevent Disability and Promote Progress

For knowledge transmission, it is important to construct structured knowledge that clearly describes the knowledge. The purpose of this study is to propose a method of structuring instructional knowledge through the approach of conveying ideal body movements, and to develop a system using the knowledge. To achieve the purpose, we structured the knowledge of ideal motions through interviews and constructed computer-readable instructional knowledge. Then, we created a transmission system to utilize the knowledge and instruct the motions, and a veteran instructor confirmed the feedback from the system. From the results, we found that knowledge structured by interviews can be computer readable and incorporated into the system. The results also showed that new knowledge can be extracted by using the proposed method. The results suggested that the proposed method can clarify the instructor's knowledge and share instructional techniques with others.
Lattice-Based Key-Value Commitment Scheme with Key-Binding and Key-Hiding Properties

Blockchain plays an important role in distributed file systems, such as cryptocurrency. One of the important building blocks of blockchain is the key-value commitment scheme, which constructs a commitment value from two inputs: a key and a value. In an ordinal commitment scheme, a single user creates a commitment value from an input value, whereas, in a key-value commitment scheme, multiple users create a commitment value from their own key and value. Both commitment schemes need to satisfy both binding and hiding properties. The concept of a key-value commitment scheme was first proposed by Agrawal et al. in 2020 using the strong RSA assumption. They also proved its key-binding property of their key-value commitment scheme. However, the key-hiding property was not yet proved. The key-hiding property was then proposed by Campaneli et al. in 2022. In this paper, we propose two lattice-based key-value commitment schemes, $$\textsf{Insert}\text {-}\textsf{KVC}_{m/2,n,q,\beta }$$ , and $$\textsf{KVC}_{m,n,q,\beta }$$ . Furthermore, we prove the key-binding and key-hiding of both lattice-based $$\textsf{Insert}\text {-}\textsf{KVC}_{m/2,n,q,\beta }$$ and $$\textsf{KVC}_{m,n,q,\beta }$$ for the first time. We prove the key-binding of both $$\textsf{Insert}\text {-}\textsf{KVC}_{m/2,n,q,\beta }$$ and $$\textsf{KVC}_{m,n,q,\beta }$$ based on the short integer solutions ( $$\textsf{SIS}^\infty _{n,m,q,\beta }$$ ) problem. Furthermore, we prove key-hiding of both $$\textsf{Insert}\text {-}\textsf{KVC}_{m/2,n,q,\beta }$$ and $$\textsf{KVC}_{m,n,q,\beta }$$ based on the Decisional- $$\textsf{SIS}^\infty _{n,m,q,\beta }$$ form problem, which we first introduced in this paper. We also discuss the difficulty of the Decisional- $$\textsf{SIS}^\infty _{n,m,q,\beta }$$ form problem.
Public health implications of computer-aided diagnosis and treatment technologies in breast cancer care

&lt;abstract&gt; &lt;p&gt;Breast cancer remains a significant public health issue, being a leading cause of cancer-related mortality among women globally. Timely diagnosis and efficient treatment are crucial for enhancing patient outcomes, reducing healthcare burdens and advancing community health. This systematic review, following the PRISMA guidelines, aims to comprehensively synthesize the recent advancements in computer-aided diagnosis and treatment for breast cancer. The study covers the latest developments in image analysis and processing, machine learning and deep learning algorithms, multimodal fusion techniques and radiation therapy planning and simulation. The results of the review suggest that machine learning, augmented and virtual reality and data mining are the three major research hotspots in breast cancer management. Moreover, this paper discusses the challenges and opportunities for future research in this field. The conclusion highlights the importance of computer-aided techniques in the management of breast cancer and summarizes the key findings of the review.&lt;/p&gt; &lt;/abstract&gt;
Using Social Media from a Marketing and Educational Perspective - Take Tiktok as an Example

Social media is playing a more important role in the current society, especially TikTok has become the most popular one. Its success greatly affects almost every aspect of peoples lives and changes their lifestyles to some extent. To figure out the reason for it and appropriately use it are significant and instructive. Developing the potential value of it and making use of it, there could gradually form a virtuous circle. The article will analyze why and how to use its huge effects from the perspective of marketing and education. The article adopts some typical examples including popular bloggers, short videos and their comparisons, e-commerce store, and so on. The finding of the article shows that whether in marketing or educational fields, the appropriate use of TikTok will have a positive meaning in lots of aspects. After the demonstration, its really meaningful to apply the app TikTok in more fields like marketing and online education, which will bring considerable social and personal benefits.
On Some Topics Related to the Gabor Wavelet Transform

We have studied the Gabor wavelet transform, the windowed Fourier transform and the Fourier transform of analytic functional on the sphere. In the case of the sphere, the space of the square integrable functions on the sphere is a subspace of the space of analytic functionals. In this note, we will review our previous results and consider the relationship between the Gabor wavelet transform and the Fourier transform.
Technology—Boon or Bane for Library Managers

By comparing management in 1987 with today, this column examines the differences for library managers as technology including computers and the Internet has become an integral part of their lives. Technology has made completing many managerial functions easier and erased the barriers of time and space. Communication has become almost instantaneous. Opportunities for learning are now global. On the other hand, the time required to manage and effectively use technology has reduced time devoted to other tasks. The work-free weekend has disappeared; products must have a slick professional look; and form has sometimes become more important than content. Contemporary library managers must focus both for themselves and for their staff on ways to use technology effectively in meeting library goals. Returning to an idyllic fictionalized past is impossible, especially now that artificial intelligence will likely bring another cycle of radical changes. Library managers will need flexibility, experimentation, and harsh critical evaluation of results to achieve success.