Reviewerly/exHarmony huggingface dataset:
The Information System Model in Combating the Pandemic of Coronavirus (Covid-19) Environment: The Case of Mysejahtera

The role of Information systems (IS) in our life is so commons and it is also required to be used anywhere, on any platforms, and anytime nowadays especially in relation to combating the pandemic of coronavirus to sustain the quality of our life.The COVID-19 pandemic has put health systems, economies and societies under unprecedented situation, calling for innovative approaches.Governments have intensively depended on IS to promote public health.During the COVID-19 pandemic, "contact tracing apps" for smartphones have also been promoted in many countries as a way to allow officials to facilitate contact tracing.In line with our discussion and research work purposes in this article, we take into consideration the application that is introduced by the Ministry of Health (MoH) called MySejahtera.The system has several functionalities which are starting from user registration, identify the hotspot Covid-19, check-in into selected premises in controlling contact tracing of the Covid-19.However, the functionalities are quite very subjective.Therefore, this paper is developed in order to propose a comprehensive model of IS and its functionalities in combating the pandemic of coronavirus (covid-19) environment.To achieve this purpose, a review and analysis of the literature based on their importance in related IS and its functionality has been performed.Furthermore, using this IS model in relation to combat the Covid-19, the citizen or anyone who used or applied this IS can always be aware of the importance based on its functionalities comprehensively and significantly.
Algebra Based Human Skeleton Sequence Reduction and Action Recognition

Skeleton-based human action recognition is a research hotspot in recent years, but most of the research focuses on the spatio-temporal feature extraction by convolutional neural network. In order to improve the correct recognition rate of these models, this paper proposes three strategies: using algebraic method to reduce redundant video frames, adding auxiliary edges into the joint adjacency graph to improve the skeleton graph structure, and adding some virtual classes to disperse the error recognition rate. Experimental results on NTU-RGB-D60, NTU-RGB-D120 and Kinetics Skeleton 400 databases show that the proposed strategy can effectively improve the accuracy of the original algorithm.
Linguistic Agency Assignment in The Star Online Headlines on COVID-19

The media coverage on the COVID-19 pandemic has caused emotional distress among people. This calls for a close scrutiny of health-related information on COVID-19 disseminated via news headlines. It is essential to determine which context – risk, prevention, or treatment – needs to be emphasised in covering news related to a pandemic and whether such reporting leads to public health scare or health consciousness. This paper discusses a study which investigated this issue by adopting Linguistic Agency Assignment as the framework in analysing COVID-19 related news headlines of a Malaysian mainstream news outlet, The Star Online. Extended Parallel Process Model (EPPM) was used to examine whether the writings induced fear or created awareness among the public. Findings of the thematic and textual analysis of a corpus of news headlines revealed that the Malaysian mainstream newspaper often disseminated prevention-themed messages related to COVID-19, used more human agency language, and induced fear in the audience, while at the same time, delivered a high level of COVID-19 awareness to readers. Keywords: linguistic agency assignment; linguistic strategies; online news headlines; Extended Parallel Process Model; COVID-19
Window method for digital speech files cryptography

Speech signals some time require encryption to secure them from the hacker, in this article research a simple, and easy to implement method of digital speech file cryptography will be introduced.The suggested window method will be implemented to prove that the method satisfies the requirements of cryptography by giving good values of the quality parameters after the encryption and decryption.The introduced method will be compared with DES method to show how the proposed method will increase the efficiency and cryptography throughput.
The Effect of Learning by the Generative Teaching Strategy on Academic Achievement and Retention of Chemical Concepts in Chemistry for Tenth Grade Students in Busira Directorate of Education Schools

The study aimed to investigate the effect of learning by the strategy of generative teaching on academic achievement and retention of chemical concepts in chemistry for tenth grade students in Busira directorate of education schools. The study sample consisted of (62) students distributed in an experimental group (30) students who studied through the generative teaching method and the control one (32) students who studied through the traditional method. The study used the quasi-experimental approach .A guide for the student and teacher to use the generative teaching strategy and an achievement test in the unit consisting of (20) items were prepared The study reached the following results: There were statistically significant differences among the arithmetic means in the post-measurement of achievement in chemistry in favor of the experimental group, and the effect size was (68%), and the results showed that there were statistically significant differences among The arithmetic means of the scores of the two groups on the retention test in favor of the experimental group, and the effect size was (70%). In light of the study results, it was suggested to use the generative teaching strategy in chemistry. Key w ords: Generative Teaching, Achievement, Retention of Concepts, Chemistry. DOI: 10.7176/JEP/12-31-01 Publication date: November 30 th 2021
Comparativa de características de software para la creación de recorridos virtuales 360 en Web

The use of 360 virtual tours has become a technology that allows viewing from different angles, places, or spaces that, due to various circumstances, it is not possible to visit physically. Due to different restrictions existing today; of a physical, economic or health type, virtual visits to museums, archaeological sites, parks, and facilities of various kinds have become an alternative to disseminate, promote, or bring users closer to places, that through 360 panoramic images, make them feel immersed in them. Currently, creating a 360 virtual tour is available to more people, as the software and hardware tools used are increasingly accessible. However, deciding on the most appropriate software platform to publish virtual tours on the web can be a trial-and-error process, delaying obtaining these virtual products.
Mathematical simulation analysis of optimal detection of shot-putters’ best path

Abstract In order to consider many uncertain factors in the process of shot-put, a fuzzy optimisation model of shot-put is proposed. With the help of fuzzy anthropometric data and strength data, the model calculates the fuzzy solution set of the athlete's best throwing mode and throwing distance with a known probability distribution, which reflects the actual process of shot throwing better than the non-fuzzy optimisation model. Then, using MATLAB6 software, the program design of the model solving and the user interface of optimisation software are developed, which realises fast calculation and good user interaction function. Finally, the actual measurement data of university shot-putters are used to verify the feasibility and effectiveness of the fuzzy optimisation model.
Knowledge Management Functions Applied in Jordanian Industrial Companies: Study the Impact of Regulatory Overload

This research aims to study the impact of electronic information overload on knowledge management functions in Jordanian industrial companies. The research population included all Jordanian industrial companies listed on the Amman Stock Exchange. A simple random sample of 30% of the research population of 1242 seniors and middle managers in the research population was done to 373 individuals. 206 questionnaires are successfully retrieved to be analyzed. Descriptive and heuristic statistical methods such as simple and multiple regression analysis were applied using SPSS.16 program. The obtained result indicated that there is a statistically significant impact of the electronic information overload (organizational overload) on the knowledge management functions (acquisition, generation, transmission, sharing, and application of knowledge) in Jordanian industrial companies. In the scope of the results, this work made a number of recommendations, including: Adopting an organizational aspect that suits the nature of the tasks that the industrial companies operate in Jordan, in addition to providing technical capabilities to reduce the electronic information overload faced by the industrial companies in Jordan while practicing their tasks.
Securitary Text on Images with RC-128 Bit Synthric Key Encryption

The main purpose of using cryptography is to provide the following four basic information security services. One of the purposes of cryptography is secrecy. Confidentiality is the fundamental security service provided by cryptography. This is a security service that stores information from unauthorized persons. Confidentiality can be achieved through a variety of ways ranging from physical security to the use of mathematical algorithms for data encryption. Vernam cipher is a stream cipher where the original data or plain with 8x8 block operation. Experimental results prove that RC4 can perform encryption and decryption with a fast execution process. In this study used a processor with 8GB of RAM. The encryption result of the text used yields the average encryption time and decryption average of 2 second.
Analysis of the results of the performance of participants of the regional stage of the All-Russian Olympiad of schoolchildren on the subject of "Physical culture"

The introduction presents the structure of the All-Russian Olympiad for schoolchildren, its stages. Some difficulties in its organization and attitude towards it in comparison with other subject Olympiads are noted. The purpose of the article is to analyze the dynamics of the performance of participants in the regional stage of the All-Russian Olympiad for schoolchildren in the subject “Physical culture” in the Novosibirsk region from 2017 to 2021 in order to draw attention to the weaknesses in the performance and plan targeted preparation for the Olympiad, achieving results at the final stage. Materials and methods. In the period 2017-2021, on the basis of the Novosibirsk Pedagogical University, the regional stage of the All-Russian Olympiad for schoolchildren in the subject “Physical culture” was held. Observation, comparative analysis of the results of the performance of schoolchildren made it possible to reveal the presence of interest on the part of the younger generation of Russians in such a subject as “Physical culture”, as well as to reveal weaknesses in the organization and preparation for this event. Research results. Monitoring of the total number of schoolchildren, as well as the average score, which was shown in the theoretical, methodological and practical rounds among boys and girls, as expected, showed the interest and better preparation of boys in this subject. Conclusion. The materials of the article will help to plan targeted preparation for the All-Russian Olympiad in order to achieve high results in the final stage of the Olympiad.
Enhancing English Writing Skill through POEW Strategy

This research intended to explain the factors of students’ problems at eighth grade of SMP NU Al-Hidayah Maduran on English writing. It aimed to investigate the effect of POEW (Predict, Observe, Explain, Write) strategy used on English writing to enhance student’s English writing skill. In addition, it elaborated the significant after using POEW strategy on student’s narrative English writing. This research conducted using a quantitative design a quasi experimental research by two classes of pre-test and post-test. The researchers implemented this research to eighth grade of SMP NU Al Hidayah Maduran in academic year of 2021/2022. The participants of this study taken from eighth grade of SMP NU Al-Hidayah Maduran, which consisted of two classes and devided by experimental class and control class. It was found from the result of the test that students in experimental class got higher score than students in control class. However, based on the normality testing, this research was not normally distributed. In addition, the data declared that this research was not homogeneous. Thus, the researchers did Mann Whitney U Test. Relating to the test, the result of Asymp. Sig. (2-tailed) was smaller than the probability (0.000&lt;0.05). It meant that Ha was accepted. However, it can be concluded that there was an effect of the use POEW strategy at eighth grade of SMP NU Al-Hidayah Maduran on English writing skill.
Exploring the Determinants of Students' Satisfaction and Continuance Intention Using Online Learning in Jordan

This research investigates factors affecting online learning satisfaction and continuance intention by Jordan school students. To this end, an integrated model of Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and Information System Success (ISS) model has been used. A questionnaire was handed out to students from five Jordanian schools to collect data from 346 students, and the Structural Equation Modeling (SEM) technique was utilized to evaluate the proposed model. The findings indicated that the students' satisfaction is directly influenced by performance expectancy, effort expectancy, facilitating conditions, system quality. Besides, the empirical results showed that the continuance intention is directly influenced by students' satisfaction, performance expectancy, habit, effort expectancy, hedonic motivation, and facilitating conditions. The findings of this study will serve as a valuable resource for educational institutions, decision-makers, developers, and academics looking to enhance online learning systems by identifying the most important factors influencing students' satisfaction and continuance intention.
Historical and cultural conditionality of the development of musical memory of pianists

The purpose of the article is related to the search for new means and methods of developing the musical memory of the pianist-performer. So far, this problem has not been thoroughly covered and developed. The methodology is to apply the method of information analysis. This methodological approach allows you to better understand the importance of professional musical memory in the life of a musician in order to find ways to overcome the fear of forgetting the lyrics before going on stage. The scientific novelty of the work is to expand the understanding of the work of musical memory, especially the work of the brain with new information. Analysis and understanding of this problem allow the performer to feel freer on stage and choose the most effective ways to work on musical works in preparation for the concert. Conclusions. Understanding the principles of professional musical memory provides new opportunities for the realization of a musician in professional activities, increases self-esteem, self-confidence.&#x0D; Key words: musical memory, general musical memory, professional musical memory, figurative musical memory, emotional musical memory, concert activity, pianist-performer.
Factors Affecting Intentions and Behavior of Plagiarism Among Students in Jambi University: Testing the Data Quality for Validity and Reliability

This study aims to identify the factors that influence students' intention to plagiarize or plagiarize. To model plagiarism intention and behavior among college students, this proposed research refers to Theory Planned Behavior (TPB) by incorporating new variables of moral obligation and past behavior and using ICT literacy as part of perceived behavioral control. With a sample of 511 FKIP UNJA students, this study used a research methodology and model parameter estimation supported by Structural Equation Modeling (SEM). Testing the validity and reliability with the PLS Algorithm stages produces path coefficients (PLS-Algorithm). Based on the output coefficient path indicator which has a loading factor coefficient below 0.708 is dropped from the research model. After dropping indicators that do not match the criteria (&lt;0.708), all items have reached a reliable point. Construct reliability was calculated using Cronbach Alpha and Composite reliability (CR) yielded greater than (&gt;0.7) and AVE exceeded the acceptable value (&gt;0.5) and thus the questionnaire items fulfilled and ensured the reliability of the instrument. The results of the construct reliability check based on discriminant validity can be done by looking at the AVE value to show the size of the indicator variance contained by the construct. Discriminant validity criteria refer to where the AVE value limit is 0.5. The results show that all AVE values for are (&gt;0.5). In addition, the value of the square root of the AVE indicates a high discriminant validity value and can be accepted because the AVE square root value of all variable constructs is above the correlation value between the other construct values.
LIBRARY COMMUNICATION IN THE SOCIO-CULTURAL SPACE OF MODERN SOCIETY

Objective. To represent library communication in the socio-cultural space of modern society. Methods. The methodology of the article was based on a set of general and special methods of scientific knowledge. Results. We substantiated the essence and content of the term "library communication" as a pre-planned activity in the socio-cultural space of modern society. There are presented the structural content elements of library communication:, goal, objective, essence, driving mechanism, purpose, implementation, basic tools, main communication product, indifferent components, sources, environment and specifics of functioning, levels and result. We established that library practice today is constantly enriched with new phenomena and concepts to denote them, for which library science as a science should formulate appropriate terms, provide theoretical and methodological justification. Conclusions. It is argued that in the context of the theory of social communications, the institutionalization of the term "library communication" as a separate type of professional communication and the driving force of the transformation of the library business is relevant.
Students’ Vocabulary Errors in Constructing Descriptive Text

This research is aimed to investigate an analysis on students’ vocabulary errors in constructing descriptive text at the First Grade Students of SMK IT Al-Halim. The research is conducted through content analysis. Data of the research are taken from documentation of description text and interview with the students of SMK IT Al-Halim. Result of the research shows that there were vocabulary error in constructing descriptive text; there were lexical error, syntactical error, and discourse error. The dominant of errors is in lexical error especially in spelling errors. Vocabulary error is caused they are lacks of awareness of students in increasing mastery of the vocabulary; English words have multiple meanings and confusion, so it makes them difficult in learning English. They are also bored and lazy to look for vocabulary. In other hand, the method used by the teacher does not appropriate in learning process. Therefore, the students should enrich vocabulary by memorize ten or more of vocabulary in one day. The students also should more often open dictionary. Furthermore, and the teacher should motivate the students in learning English. Then, the teachers should give clearly, explanation and clarification when teach English especially in vocabulary for students
A Breast Cancer Patients’ Survival Prediction Model Using mRMR Feature Selection with Artificial Neural Network

Breast cancer is one of the most common cancers among women in the world, and it poses a huge threat to women's health. Predicting the survival status of breast cancer patients is of great significance to the patients. At present, due to the low classification ability of traditional machine learning algorithms, it is not enough to assist clinical diagnosis. This study combined deep learning with more powerful classification performance with medical diagnosis to improve the accuracy of diagnosis. This study constructed a model (MA) combining min-redundancy and max-relevance algorithm(mRMR) and artificial neural network, which could not only predict whether breast cancer patients would survive for more than 5 years, but also selected the features (genes)set that made classification results optimal. In terms of accuracy, the MA model's classification effectiveness could achieve 72.38%. Through survival analysis to the optimal genes set, 11 genes highly correlated with cancer survival were obtained.
COVID-19 and Research in International Law

If you can think about something which is attached to something else without thinking about what it is attached to, then you have what is called a legal mind.1
Motivation-based Attacker Modelling for Cyber Risk Management: A Quantitative Content: Analysis and a Natural Experiment

Cyber-attacks have a tremendous impact on worldwide economic performance. Hence, it is vitally important to implement effective risk management for different cyber-attacks, which calls for profound attacker models. However, cyber risk modelling based on attacker models seems to be restricted to overly simplified models. This hinders the understanding of cyber risks and represents a heavy burden for efficient cyber risk management. This work aims to forward scientific research in this field by employing a multi-method approach based on a quantitative content analysis of scientific literature and a natural experiment. Our work gives evidence for the oversimplified modelling of attacker motivational patterns. The quantitative content analysis gives evidence for a broad and established misunderstanding of attackers as being illicitly malicious. The results of the natural experiment substantiate the findings of the content analysis. We thereby contribute to the improvement of attacker modelling, which can be considered a necessary prerequisite for effective cyber risk management.
COVID-19 geoviz for spatio-temporal structures detection

Abstract. The spread of COVID-19 has motivated a wide interest in visualization tools to represent the pandemic’s spatio-temporal evolution. This tools usually rely on dashboard environments which depict COVID-19 data as temporal series related to different indicators (number of cases, deaths) calculated for several spatial entities at different scales (countries or regions). In these tools, diagrams (line charts or histograms) display the temporal component of data, and 2D cartographic representations display the spatial distribution of data at one moment in time. In this paper, we aim at proposing novel visualization designs in order to help medical experts to detect spatio-temporal structures such as clusters of cases and spatial axes of propagation of the epidemic, through a visual analysis of detailed COVID-19 event data. In this context, we investigate and revisit two visualizations, one based on the Growth Ring Map technique and the other based on the space-time cube applied on a spatial hexagonal grid. We assess the potential of these visualizations for the visual analysis of COVID-19 event data, through two proofs of concept using synthetic cases data and web-based prototypes. The Grow Ring Map visualization appears to facilitate the identification of clusters and propagation axes in the cases distribution, while the space-time cube appears to be suited for the identification of local temporal trends.