Reviewerly/exHarmony huggingface dataset:
National COVID-19 health monitoring system: a sustainableglobal and Namibian E-business and E-governance context

COVID-19 is the world’s most destructive recent pandemic that is experienced in every part of the world. Thisdeadly virus affects different people in different ways. Most infected people will develop mild to moderate illnessand recover without hospitalization. COVID-19’s most common symptoms include fever, dryness, and tiredness.It is against this background that in Namibian health environment the country uses a manual system to recordpublic members’ demographic information when visiting public places that do not allow monitoring of every publicmember who visited the 14 regions in the country. Therefore, the present study developed a National COVID-19 health contact monitoring system that allows every public member who visits an enclosed public place bycapturing their demographic information as well as the date and time the facility was visited. The system replacesthe paper-based method of recording the information of people visiting public places with an entrance that allowsthe coming in and going out of people. The system will also allow for real-time monitoring of temperature changesof individuals.
The Effectiveness of Contextual Redefinition Strategy on Reading Comprehension of Descriptive Text of The Tenth Grade Students of MAU Darul Hidayah BenelanLor in the Academic Year 2019/2020

The purpose of this research was to know whether the students taught by using Contextual Redefinition Strategy get better on Reading Comprehension of Descriptive text score. This reserach was an experimental research. The type of the research was a pre experimental reserach. The researcher used one group pretest and posttest design. The respondents of this research was 21 students. Before giving the treatment, the students were given pre-test, and post-test was given after the treatment. The technique of collecting data was a test. The technique of data analysis was T-test formula in order to know the difference between the average of posttest of experimental class and pretest of experimental class. After having calculated the T-test. T-test was anlyzed and interpreted with the degree of significances 5% with db = 19 and the T-table is 2,093. The results of T-test analysis is 9,96. It means that the T-test ( 9,96 ) is higher than T-table ( 2,093 ) in the significances 5%. From the research finding, it can be concluded that the students taught by using contextual redefinition strategy get better score on reading comprehension of descriptive text. It is suggested for the teachers and the students to use this strategy in teaching reading comprehension because this strategy is very useful to improve students vocabulary. For further researcher to conduct further research on similar area by improving the methodology.
An investigation into the impact of ICT in the spreadof COVID-19: a Namibian context

The study was aimed at investigating the impact of a National COVID-19 Health contact tracing and monitoringsystem for Namibia. The study used qualitative methods as a research strategy. Qualitative data were collectedthrough zoom meeting and a Google form link was distributed to the participants. A total of 18 participantsresponded to the semi-structured questions, of whom 38.9% were male and 61.1% female. The 18–25 age group’sresponse rate was 22.2%, that of the 26–35 age group was 55.6%, that of the 36–45 age group was 16.7% and thatof 46 and above was 10%, which is represented in green. Therefore, the present study will investigate the impact ofa National COVID-19 health contact tracing and monitoring system and proposed a system that will allow capturingthe demographic information of every public member who visits an enclosed public place as well as the date andtime the facility was visited. The system replaces the paper-based method of recording the information of peoplevisiting public places with an entrance and an exit. The proposed system will also allow for real-time monitoring oftemperature changes of individuals.
Detecting paraphrases in the Marathi language

Paraphrasing refers to writing that either differs in its textual content or is dissimilar in rearrangement of wordsbut conveys the same meaning. Identifying a paraphrase is exceptionally important in various real life applicationssuch as Information Retrieval, Plagiarism Detection, Text Summarization and Question Answering. A large amountof work in Paraphrase Detection has been done in English and many Indian Languages. However, there is noexisting system to identify paraphrases in Marathi. This is the first such endeavor in the Marathi Language.A paraphrase has differently structured sentences, and since Marathi is a semantically strong language, thissystem is designed for checking both statistical and semantic similarities of Marathi sentences. Statistical similaritymeasure does not need any prior knowledge as it is only based on the factual data of sentences. The factual datais calculated on the basis of the degree of closeness between the word-set, word-order, word-vector and word-distance. Universal Networking Language (UNL) speaks about the semantic significance in sentence without anysyntactic points of interest. Hence, the semantic similarity calculated on the basis of generated UNL graphs for twoMarathi sentences renders semantic equality of two Marathi sentences. The total paraphrase score was calculatedafter joining statistical and semantic similarity scores, which gives a judgment on whether there is paraphrase ornon-paraphrase about the Marathi sentences in question.
Takeaways of Implementing a Native Rust UDP Tunneling Network Driver in the Linux Kernel

C is the primary programming language used in the Linux kernel. Recently, the Linux developer community oversaw the experimental addition of Rust into the kernel's build system. Networking is one of the areas often mentioned when discussing the adoption of Rust. In networking, both perfect memory management and performance are critical.
Rancang Bangun Game Patih Kebo Iwa Begenre Turn Based Role Playing Game Berbasis Android

Game is a means of entertainment that can provide lessons for its users. This research offers a solution, namely the making of Game Patih Kebo Iwa with an android-based turn based rpg genre by telling the struggle of Kebo Iwa to become a mainstay patih of Bali until he was willing to sacrifice for the land of Bali when the devious politics carried out by Gajahmada to subdue the Balinese kingdom. The purpose of this research is to know the design of this game and measure the feasibility of the aspects of functionality and usability with ISO 9126. The game is made using the Unity application with the C# programming language. Game testing was carried out using a media questionnaire filled out by gamers. The results of this game include 20 characters, 4 main scenes, 15 maps, player movement mechanisms, battle mechanisms, menu mechanisms, item mechanisms, shop mechanisms. Testing on this game shows 100% valid results from the functionality aspect. From the usability aspect, it shows that 82% of respondents accept this game in terms of information, convenience, and ease of playing this game.
Pendidikan dan Pelatihan Dasar Penelusuran Bahan Ajar dari Internet bagi Guru-guru SD di Baki Sukoharjo

The internet has a broad impact in the world of education, changing traditional ways of education to modern ways. The presence of the internet can overcome and change the limitations of distance, learning resources and information sources, so that students can be active in understanding the subjects taught by teachers to students. Utilization of the internet network as a source of basic education and training. Searching for teaching materials and sources of information in learning can be implemented through browsing, resourcing, searching, consulting and communicating. Utilizing the internet by utilizing the web in learning can be done through web courses, web centric courses, and web enhanced courses. The use of the internet must be done with full awareness so that the presence of the internet can truly support learning activities, especially for elementary school teachers in the Baki sub-district, Sukoharjo district. Internet misuse can have a negative impact on learning due to inaccuracies in the data or information presented. Therefore, internet users must be selective in choosing learning sources and information presented by the internet.
Tech Showdown – Citation Mapping Tools Special Issue

Tech Showdown is a regular feature of JoHILA. Novel products, software, and technologies will be compared against each other to determine who is the winner, based on available features, ease of use, and price.&#x0D; The tools selected for rating were: Inciteful, Litmaps, Open Knowledge Maps, Research Rabbit, Connected Papers, Local Citation Network, VOSviewer, Citation Chaser, and CiteSpace.
A Universal Keyboard Shortcuts Reminder (and two bonus tips)

This short article will describe an approach that requires remembering just one – yes 1 - single solitary keyboard shortcut, and that will display a custom list of keyboard shortcuts specific to the program or website being used at the time.
The New Kernel-based Multiple Instances Learning Algorithm for Object Tracking

Background:: Visual tracking is a crucial component of computer vision systems. Objective:: To deal with the problems of occlusion, pose variation, and illumination in long-time tracking, we propose a new kernel-based multiple instances learning tracker. objective: visual tracking Method:: The tracker captures five positive bags, including the occlusion bag, pose bag, illumination bag, scale bag, and object bag, to deal with the appearance changes of an object in a complex environment. A Gaussian kernel function is used to compute the inner product for selecting the powerful weak classifiers, which further improves the efficiency of the tracker. Moreover, the tracking situation is determined by using these five classifiers, and the correlating classifiers are updated. Results:: The experimental results show that the proposed algorithm is robust in terms of occlusion and various appearance changes. Conclusion:: The proposed algorithm preforms well in complex situations. conclusion: And it preforms well in complex situation.
A Scheme for Quantum Teleportation and Remote Quantum State Preparation of IoT Multiple Devices

With the continuous development of the Internet of Things (IoT) technology, the industry’s awareness of the security of the IoT is also increasing, and the adoption of quantum communication technology can significantly improve the communication security of various devices in the IoT. This paper proposes a scheme of controlled remote quantum state preparation and quantum teleportation based on multiple communication parties, and a nine-qubit entanglement channel is used to achieve secure communication of multiple devices in the IoT. The channel preparation, measurement operation, and unitary operation of the scheme were successfully simulated on the IBM Quantum platform, and the entanglement degree and reliability of the channel were verified through 8192 shots. The scheme’s application in the IoT was analyzed, and the steps and examples of the scheme in the secure communication of multiple devices in the IoT are discussed. By simulating two different attack modes, the effect of the attack on the communication scheme in the IoT was deduced, and the scheme’s high security and anti-interference ability was analyzed. Compared with other schemes from the two aspects of principle and transmission efficiency, it is highlighted that the advantages of the proposed scheme are that it overcomes the single fixed one-way or two-way transmission protocol form of quantum teleportation in the past and can realize quantum communication with multiple devices, ensuring both security and transmission efficiency.
Case Study on Competition Law Enforcement Against Database Restrictions: Focusing on IP Guideline and TREB Ruling in Canada

In a data-driven economy, companies (esp. platform companies) with large amounts of data can use it to gain competitive advantages, such as product and service innovation and improvements. However, when big data is concentrated in the hands of a few companies, new entrants may find it difficult to enter the market or, if they do, to compete. It is legal for companies to collect significant amounts of data and to manage and control it. However, the issue of misuse of data to increase entry costs and extend market power is being debated in various countries around the world on the need for regulation at the competition law. This study will introduce the Canadian Competition Bureau's Intellectual Property Enforcement Guidelines (the “IP Guidelines”) and the case of the Toronto Real Estate Board's (the “TREB”) restrictions on the use of a real estate database in the Toronto area, which addressed whether the restrictions constituted an abuse of market power under Canadian competition law(the “Case”).&#x0D; The case has been a long-running legal battle that began in 2011 with an investigation by the Canadian Competition Bureau and concluded in 2018 with a decision by the Supreme Court of Canada. As such, it is considered to be a precedent-setting case in the context of determining abuses of market power in relation to database restrictions. Recently, the Korea Fair Trade Commission also imposed a corrective order and a fine on NAVER for the act of preventing a third party (a competitor such as Kakao) from providing real estate listing information provided by NAVER through a contract with a real estate information provider. The case contains many similar legal issues to the NAVER case and is worthy of comparison and analysis. This study draws implications for Korean competition law enforcement through foreign regulations and case studies on platform operators' data access restriction.
New Quantum Genetic Algorithm Based on Constrained Quantum Optimization

In the past decades, many quantum algorithms have been developed. The main obstacle that prevents the widespread implementation of these algorithms is the small size of the available quantum computer in terms of qubits. Blind Quantum Computation (BQC) holds the promise of handling this issue by delegating computation to quantum remote devices. Here, we introduce a novel Constrained Quantum Genetic Algorithm (CQGA) that selects the optimum extreme (minimum or maximum) value of a constrained goal function (or a vast unsorted database) with very low computational complexity. Since the convergence speed to the optimal solution for the Constrained Classical Genetic Algorithm (CCGA) is highly dependent on the level of quality of the initially selected potential solutions, the CCGA's heuristic initialization stage is replaced by a quantum one. This is achieved by exploiting the strengths of the Constrained Quantum Optimization Algorithm (CQOA) and the BQC. The proposed CQGA is applied as an embedded computational infrastructure for the uplink multi-cell massive MIMO system. The algorithm maximizes the energy efficiency (EE) of the uplink massive MIMO while considering different users target bit rate classes. Simulation results show that the suggested CQGA maximizes energy efficiency through careful computation of the optimal transmit power for each active user using fewer computational steps than the CCGA. We demonstrated that when the overall transmit power set or the overall number of active users increases, the CQGA keeps executing a smaller number of generation steps compared to the CCGA. For instance, if we consider a scenario where the overall number of active users () is set to 18, the CQGA finds the optimal solution with a smaller number of generation steps equal to 6, while the CCGA takes a larger number of generation steps, reaching 65.
Current Status and Prospects of Career Curriculum Reorganization in Inje University: Focused on the Development of Career Course

The purpose of this study is to improve the performance of career and employment support in university and to suggest the right direction of career education in university through the reorganization of career curriculum focused on career course. The results of the analysis on the operation status of major university career course and the recognition and demand of students for the reorganization of career curriculum are as follows: First, the operation status of major university career course was classified into three types. Second, students' positive perception and relatively high demand for the operation of career and employment course as essential courses were confirmed. Third, in terms of students' recognition and demand for learning support for career course, the top category was formed by the learning methods of the lecture-focused course, the experience-focused course, and the interaction-focused course. The results of this study were used as basic data for the reorganization of career curriculum at Inje University and the development of career and employment courses.
The perceptions of high school teachers and students towards digital interest and literacy

The increased application of information and communication technology (ICT) in society promotes its use in education to align instructional content with students’ interests and future working lives. To achieve this, the human resources within education institutions must possess the ability to utilize technology and understand the students’ capabilities. This descriptive study was conducted to establish the profile of students’ and teachers’ interests and perceived digital literacy abilities in high schools and their equivalents. An online questionnaire was used to collect data from West Java, West Kalimantan, and Jakarta high schools. The gathered data were processed with a simple quantitative technique. The data analysis collected by the questionnaire indicates that the respondents have a relatively high perception of digital literacy levels (encompassing operational, information, communication, strategic, and creative abilities), with some relatively low aspects, such as expressing opinions and creating things with ICT. Furthermore, it was also found that respondents exhibit a strong interest in using digital devices for learning, with video games, video processing programs, and graphic design software occupying the three least used digital media in schools but most desired by the respondents for integration.
A Study on Poetry Creation Education Method Using Abject

This paper proposed a poetry creation education method using Kristeva’s ‘abject’ theory, which deals with the dual emotions of ‘disgust’ and ‘fascination’ simultaneously. When the abject as an object of disgust becomes an object of fascination, the fact that an already constructed identity can be newly sublimated creates the possibility of ‘poetry creation.’ The teaching method for creating poetry using abject is 'Write experiential elements about the elements you hate to form your identity → Write a poem that is fascinated by the elements you hate → Write a poem that accepts the elements you hate → Write the two poems written earlier. It consists of 'naturally connecting → evaluating'. In this paper, we applied this teaching method to students taking &lt;Comprehensive Thinking and Communication&gt;, a required first-year subject. As a result, even students who did not major in literature were able to create poetry that deviated from existing meanings through the universal emotions of ‘disgust’ and ‘fascination’ that must be experienced to form an identity.
Comparison of the Effect of Fiction Reading on Social Cognition according to Reading Media

This study explored the effects of reading fiction in e-books or paper books on social cognition. Using SPSS 25.0, empathy and pro-social behavior of the paper book novel preference group (n=43), e-book novel preference group (n=46), and novel non-preference group (n=46) were measured, and analysis of covariance was conducted to examine group differences. First, there was no significant difference in empathy and pro-social behavior between the paper book novel preference group and the e-book novel preference group. This means that types of reading media do not cause differences in reading effects. Second, regardless of the type of reading media, groups who read novels showed a higher level of empathy and pro-social behavior than those who did not read novels. This means that reading novels can improve the audience’s empathy and pro-social behavior.
Analysis of the needs of teachers of SMAN 3 Sidoardjo in the creation and use of learning media

This study aims to analyze the needs of teachers of SMAN 3 Sidoardjo in the creation and use of learning media in the teaching and learning process. The research method used is descriptive qualitative by taking data through a Google form-based questionnaire filled out online. The subjects of the study were 51 teachers of SMAN 3 Sidoardjo. The results of the survey based on questionnaire data obtained showed that the learning media used by the teachers of SMAN 3 Sidoardjo in the teaching process was made by as much as 72.5% and 27.5% were not made by themselves, so the media was obtained from Youtube, Google, and colleagues. The media created by several teachers has obstacles, namely mastery of IT (editing and programming languages), a long time in the development process, and its use has not adjusted to the characteristics of students and unites several media and materials in one platform such as Learning Management System. Therefore, teachers need training and direct assistance in making intensive and simple learning media without using programming languages, flexible time, and accessible anywhere and anytime. Website-based media to accommodate all the material and learning resources taught so that students can easily use the press and improve their understanding of the material and the quality of learning So that teachers and students can adjust the scope and face problems in the learning process by the demands of the times.
The Effect of Comparative Program on Improving Learning Capabilities: Focusing on the Case of University A

In this study, we tried to check the changes in the learning capabilities of students who participated in the program provided based on the comparative department system of University A, and to see whether there is a difference in the impact of the comparative department. To this end, a MANOVA analysis was conducted on 501 people who participated in the Comparative Division of University A using a learning competency measurement tool(DIA-LC). As a result, it was confirmed that study group learning tutoring learning consulting contributed to the improvement of linked learning capabilities, affecting 42% learning commitment, 34% practical learning, and 24% self-determination learning motivation. Based on this study, it is hoped that the non-subject, which positively affects students' learning capabilities, will be established as an axis of the curriculum closely linked to major and liberal arts, and the administrative and institutional foundation at the university level will be reorganized.