Reviewerly/exHarmony huggingface dataset:
Pembuatan dan pelatihan aplikasi teknologi informasi untuk pembelajaran sikap tanggap bencana pada SD Muhammadiyah di Kecamatan Moyudan Kabupaten Sleman

Geographically, Indonesia is an archipelago located at the confluence of four tectonic plates, namely the Asian Continent, the Australian Continent, the Indian Ocean and the Pacific Ocean. In the southern and eastern parts of Indonesia there are volcanic belts (volcanic arcs) that extend from the islands of Sumatra, Java, Nusa Tenggara, Sulawesi, the sides of which are old volcanic mountains and lowlands which are partly dominated by swamps. This condition is very potential and at the same time prone to disasters such as volcanic eruptions, earthquakes, tsunamis, floods and landslides. Special Region of Yogyakarta (DIY) is a province that has a high category of natural disasters based on disaster prone maps by the National Disaster Management Agency (BNPB). In 2006 an earthquake measuring 5.9 on the Richter scale had occurred in DIY and claimed thousands of lives. Moreover in DIY there is also Mount Merapi, which is the most active mountain in Indonesia. In this community service activity Information Technology applications are developed as learning media for disaster response attitudes and disaster mitigation efforts for elementary school students. Types of natural disasters being studied include floods / tsunamis, earthquakes, volcanoes and fires. Aside from producing applications, this community service activity also organizes training and mentoring for Muhammadiyah elementary school teachers.
STRUCTURAL COMPONENTS OF THE CULTURE OF ART-PEDAGOGICAL COMMUNICATION OF THE FUTURE TEACHER OF FINE ARTS

The article analyzes the changes in the first form in particular: the creation of the class cells or groups, the availability of alternative typical educational programs; morning meetings; availability of a number of textbooks «Ukrainian language.Primer»; realization of the idea of integration during the lesson; research approach to skills formation; designing of the knowledge (for example, the presence of the subject «I explore the world, the Ukrainian language») and others.The aim of the article was to: find out the specifiсs of the preparation of a future primary school teacher for the Ukrainian language teaching under the Concept «New Ukrainian School».First things first, the author's research was aimed at a theoretical analysis of the problem, which was studied.The attention was paid to the content of the State standard of primary education of the language-literary educational branch.New contentlines, their directions are analyzed.For the first time, the psycholinguistic factor has been introduced in the contentline: interacting with other people verbally, the education provider regulates his or her own emotional state, tells about his own feelings and emotions from the listener; communicates politely; describes his or her own emotions.The modern requirements for the teaching of the Ukrainian language in primary school are determined, directions of preparation of the future teacher for professional activity are formulated.The attention is focused on the necessity of using quasi-professional tasks that are close to the conditions of real professional activity and have a creative character.The method of conducting of separate innovative methods of training is proposed, attention is focused on gaming.The author focuses on the peculiarities of conducting lectures and practical classes on the methodology of teaching Ukrainian language in primary school.The prospect of the further study is seen in the studying of the existing language competences in the first grade students.
Chinese Characteristics and International Standards: Study on Evaluation System of Scientific and Technological Innovation Capacity of “Double First-Class” Universities

In the construction of &amp;ldquo;Double First-Class&amp;rdquo; universities, how to establish an evaluation system of universities&amp;rsquo; scientific and technological innovation capacity with Chinese characteristics and international standards will determine the direction and level of improvement of Chinese university&amp;rsquo;s technological innovation capacity. The system of scientific and technological innovation in university is a complex system, and the existing evaluation index and evaluation system may be difficult to meet the actual needs of the national construction of &amp;ldquo;Double First-Class&amp;rdquo; universities in the new situation, so the evaluation index should be a breakthrough and innovation. This paper probes into the existing problems in the evaluation system of scientific research in China, systematically investigate the common and different features of scientific research evaluation in Britain, America, France and Australia, puts forward the new connotation of the structure dimension of Chinese universities&amp;rsquo; scientific and technological innovation capacity, and points out the basic criterion of constructing the evaluation system of university scientific and technological innovation capacity: First, design of indicators should reflect the development trend of the world, and reflect the cultural characteristics and historical background of Chinese universities. Second, it is necessary to according to the &amp;ldquo;world standard&amp;rdquo;, reflect the value orientation and practice standard of Chinese university construction. Third, taking differentiated design and establishing a classification evaluation standard. Fourth, the evaluative dimension should reflect the diversification of evaluation content, especially considering to optimize overall scientific research ecology.
Sistem Pakar Menentukan Maksimal Kalori Harian Berbasis Mobile

The study was conducted because of many concerning event happened in purpose of losing weight in improper methods. By the flow of time with technologies developed in this century, Smartphone became one of necessity because of the feature by many applications which helps a lot in our everyday life of humanity. The Researcher conducted this research of mobile-based application expert system which helps people properly losing their weight, this expert system is a supporting utility for taking care of dietary habit based on the amount of calorie limit calculated by this system, and recommends suitable and healthy food for users. This system is built with React Native framework. The calculation in this system is based on information of weight, height, and age provided by users, and all prediction will not be done without the provided information and every calculation is handled by web-based server-side processing which is developed using Laravel Framework. Inference method used by the researcher is Forward Chaining. This expert system will validate user's requirement to start working on losing weight by using Forward Chaining Inference method. Every successfully registered user will be able to view their calculated information by this system which is maximum calorie value, and list of healthy and recommended foods information provided by the expert herself. From the test results, the Expert System can solve the problem of giving a way to run a proper diet program by adjusting the diet with the calories needed.
КІБЕРОСВІТА ТА ЇЇ ОСОБЛИВОСТІ

Introduction. The article analyzes the formation and development of cyber education in Ukraine and in the world. The problematic issues of the formation of the system, content and methodologies of cyber-education in Ukraine are revealed. An option for implementing an integrated and continuous education system on cybersecurity has been developed.Purpose. Formation of a methodology, system and content of training on cybersecurity issues (cyber education) in educational institutions of Ukraine.Methods. Theoretical analysis, synthesis, comparison, generalization and forecastingResults. To systematize and improve training in cybersecurity, the authors developed an option for implementing an education system on cybersecurity. It includes all levels of education from school to higher and postgraduate. At the same time, a gradual and continuous formation of knowledge and competence in cybersecurity necessary for the modern information society is envisaged. Particular attention is paid to the formation of these knowledge and competences in higher education institutions of the security and defense sector of Ukraine. An integral, consistent, interconnected and continuous system of training in cyber security and cyber defense at the tactical, operational and strategic levels of training, as well as the content of training for their implementation, has been proposed and practically tested.Conclusion. The proposed system of education on cybersecurity is a comprehensive and flexible solution to the problem question of educating the society and personality on cybersecurity directions. Education on cybersecurity will begin with pre-school education and reduce the risks for children at the stage of their formation as a person. The proposed system for training specialists of the National Security and Defense Sector of Ukraine will enable the formation and support of graduates' competence in cybersecurity and cyber defense for the purpose of performing assigned tasks in the context of the transfer of hostilities to information and cybernetic space.
Economics and Incentives Driving IoT Privacy and Security, Pt. 2

In summary, just as sensors and actuators effectuate data in the loT, risk economics effectuate privacy and security risk controls in the loT. Privacy and security in the loT depend on sensors (awareness and control of data collection, use and disclosure) and actuators (law and market enforcement functions) to precipitate underlying rights and interests. Key economic challenges to sensing and actuating privacy and security in the loT include: information asymmetries, incentives, uncertain costs and benefits, and enforcement We still have an opportunity to avert Groundhog Day relative to how security and privacy has played out on the Internet stage by tackling these issues head on in the development and deployment of loT.
Performance comparison between PI digital and fuzzy controllers in a level control system

Liquid level systems are important in many industrial and academic applications, so measurement and control systems need to be as accurate as possible for this process. However, a level system has a nonlinear dynamic which increases the difficulty of modelling and design controller by classical methods. In order to address these issues, this paper discusses the modeling of a nonlinear level plant and the implementation of strategies for PI control and fuzzy control. The control algorithms are embedded in an 8 bits microcontroller, which provides the plant sample data via serial communication. Response specifications are stipulated so that the performance of the controllers is evaluated and compared. The results show a better performance for the fuzzy controller which could avoid larges overshoots with low computation costs and none anti-windup strategies.
The Impact of Virtual Classroom Template on the Development of Cognitive Skills, Infographic Production Quality and Usability

This study aims at pointing out the impact of "lobby mode" versus that of "analytical mode" on developing cognitive skills, quality of production and usability of the model system; all through using Adobe Connect. An achievement was developed and it consisted of 20 lexicon to measure the cognitive skills of instructional infographic design. In addition, an assessment card has been used to assess the final production in terms of quality. The card is composed of 44 texts designed to measure the quality of infographic. Besides, a measuring scale has been founded, that is composed of 55 phrases distributed among five areas; thus to measure the usability of using the virtual classroom module. The study focus groups were randomly selected of the students of Educational Technology Program, specifically, second semester of an academic year 2016/2017. Forty students have been selected and divided into two experimental groups. In terms of usability, results of the study showed up that the analytical model has been proven better than the lobby one in managing a virtual classroom using adobe connect system; whereas same results highlighted a no statistically documented difference between both models in terms of cognitive skills related to instructional infographic design together with level a d quality of production.
Data Augmentation to Stabilize Image Caption Generation Models in Deep Learning

Automatic image caption generation is a challenging AI problem since it requires utilization of several techniques from different computer science domains such as computer vision and natural language processing.Deep learning techniques have demonstrated outstanding results in many different applications.However, data augmentation in deep learning, which replicates the amount and the variety of training data available for learning models without the burden of collecting new data, is a promising field in machine learning.Generating textual description for a given image is a challenging task for computers.Nowadays, deep learning performs a significant role in the manipulation of visual data with the help of Convolutional Neural Networks (CNN).In this study, CNNs are employed to train prediction models which will help in automatic image caption generation.The proposed method utilizes the concept of data augmentation to overcome the fuzziness of well-known image caption generation models.Flickr8k dataset is used in the experimental work of this study and the BLEU score is applied to evaluate the reliability of the proposed method.The results clearly show the stability of the outcomes generated through the proposed method when compared to others.
On augmented reality in medicine

Augmented reality is an actual trend in modern computer engineering. The main task of augmented reality is to transfer three-dimensional virtual objects in real-time into a three-dimensional real environment. This technology differs from virtual reality technology, in which the user can fully immerse himself in the virtual world. Thus, due to the possibility of generating any 3D-objects and their further integration into the real environment, augmented reality technologies are widely used in surgical practice, namely in training future surgeons. With the help of augmented reality, it has become possible to simulate various surgeries online, which greatly facilitates, for example, the practical part of the training of future surgeons. Using these technologies, the doctor can learn different surgical manipulations without using different real training material, which is often quite expensive and very different from the real tissues and organs that the surgeon has to face in the future. This article will consider various engineering features of augmented reality, which are used in different sections of surgery.
Method Framework for Developing Enterprise Architecture Security Principles

Organizations need to consider many facets of information security in their daily operations – among others, the rapidly increasing use of IT, emerging technologies and digitalization of organizations’ core resources provoke new threats that can be difficult to anticipate. It has been argued that the security and privacy considerations should be embedded in all the areas of organizational activities instead of only relying technical security mechanisms provided by the underlying systems and software. Enterprise Architecture Management (EAM) offers a holistic approach for managing different dimensions of an organization, and can be conceived as a coherent and consistent set of principles that guide how the enterprise must be designed. This article contributes with a method framework for integrating information security with EAM, aimed at providing support for the decision-making related to formulating context-aware EA security principles. The presented method framework is a result of a constructive research based on both the theoretical body of knowledge and the empirical evidence, obtained by interviewing 35 Finnish EA and information security practitioners.
A Curricular Case Study: Constructing the Essential Factors in “Social Design” Teaching

This study explores an innovative teaching approach based on the concept of social design.Using, as its case study, a design education course called "Social Design," currently taught in universities, this study discusses the essential elements of social design courses, based on the three characteristics of social-design education: design practices, problem evaluation, and interdisciplinary cooperation.It concludes by showing that social-design education includes the following essential elements: 1) to train students to propose innovative solutions to problems; 2) to analyze problems comprehensively, on the scale of the socio-ecological-system; 3) to solve problems using interdisciplinary knowledge and understanding; 4) to include people who have experienced problems in the problem-solving process; 5) to ensure that students achieve reflective learning during the problem-solving process; and 6) to guide students in recognizing the "organic" nature of social design problems, in which levels of stakeholder participation affect problem-solving decisions, given that social systems are constantly changing.
Inventory System Based on ThinkPHP and Bootstrap Framework

In order to improve the work efficiency and reduce the cost of enterprises, the management mode of enterprise's purchase, sale and storage must be highly integrated with information technology. This system uses PHP, MySQL, Apache, Bootstrap front-end framework and other technologies to design an easy-to-operate purchase, sale and storage system, in order to achieve the systematization, standardization and automation of enterprise information management. A architecture of separation of presentation layer, business layer and data layer is realized by using ThinkPHP development framework, which is convenient for development, management and expansion.
Slot Tagging for Task Oriented Spoken Language Understanding in Human-to-Human Conversation Scenarios

Task oriented language understanding (LU) in human-to-machine (H2M) conversations has been extensively studied for personal digital assistants.In this work, we extend the task oriented LU problem to human-to-human (H2H) conversations, focusing on the slot tagging task.Recent advances on LU in H2M conversations have shown accuracy improvements by adding encoded knowledge from different sources.Inspired by this, we explore several variants of a bidirectional LSTM architecture that relies on different knowledge sources, such as Web data, search engine click logs, expert feedback from H2M models, as well as previous utterances in the conversation.We also propose ensemble techniques that aggregate these different knowledge sources into a single model.Experimental evaluation on a four-turn Twitter dataset in the restaurant and music domains shows improvements in the slot tagging F1-score of up to 6.09% compared to existing approaches.
Using Gameplay and Players Data to Recommend Strategies to Reduce Cybersickness

Virtual Reality (VR) is an upcoming trend in games and entertainment applications as the use of head-mounted displays becomes accessible for the mass market. These systems aim to provide immersive experiences, but they still do not provide a completely seamless experience, mostly due to sickness symptoms that can be experienced by the players. Cybersickness (CS) is one of the most critical problems that make the game industry fearful for higher investments. In this work, we made a critical study on the theories and causes of CS in virtual environments. We unified in a paper most of the leading hardware and software proposals to identify, quantify and minimize the main sickness problems. We also provide clarification about the most relevant measurement tools used to quantify the level of sickness for one or more players through specific questionnaires. We also developed a demo plugin for a commercial game engine to collect relevant data in a VR game to use as a database to future research approaches to enhance user experience in head-mounted displays.
Can Work Engagement and Job Satisfaction Predict Employee Innovation? Case of Indian Telecom Employees

Work engagement is a positive, fulfilling, work-related state of mind that is characterized by vigor, dedication, and absorption. This concept is gaining popularity because of the desirable outcomes it offers to both employers and employees. Job satisfaction describes the extent to which a person is satisfied in his/her present job. Its impact on organizational performance is well known. Employee innovation occurs when creative ideas are originated and implemented in the organization. Innovation is the need of the hour, and despite this, studies about innovation and its antecedents are sparse in the Indian context. The present study attempted to find out the impact of work engagement and job satisfaction on employee innovation. Data were collected from 165 employees working in various telecom organizations in Kerala by using convenient sampling technique. Job satisfaction was assessed using the Minnesota Satisfaction Questionnaire, Utrecht Work Engagement Scale (UWES) was used to measure work engagement, and employee innovation was measured by using the validated Corporate Innovation Survey questionnaire. The results revealed a significant positive relationship between work engagement, job satisfaction, and employee performance. It was also found that work engagement and job satisfaction individually as well as collectively impacted employee innovation. The study established that significant influence on employee innovation was more when work engagement and job satisfaction were combined. The study offered valuable insights to both practitioners and academicians by significantly contributing to the existing body of knowledge.
Adult-Child Speech Interaction: Speech Database and Psychophysiological Experimental Data

The paper describes the database "Adult-Child Speech Interaction": the speech material, recording conditions, equipment for recordings, and additional information about informants.At the present time the database "Adult-Child Speech Interaction" includes: 412 Gb of audio and video records collected from 80 dyads "mother -4-7-year old children" with typically developing children (n = 40 dyads), children with autism spectrum disorders (n = 20 dyads), children with Down syndrome (n = 20 dyads); 87 Gb of audio and video records of interaction between the experimenter and 10 orphans with light intellectual disabilities and 10 orphans with developmental disorders.The psychophysiological study is aimed at identifying the features of speech interaction in dyads depending on the neurological and psychophysiological state of the child.The practical application of the database that can be used for creating automatic speech and language training systems and socialization skills developing for children with developmental disabilities is discussed.
NUMBERED-HEAD TOGETHER IN TEACHING READING NARRATIVE

Reading comprehension is needed by students in order to have a good reading skill. In this journal, the researchers are trying to examine the implementation of NHT technique in improving students’ reading comprehension of narrative text. Quantitative used as the research method with pre-experimental research design. There are three stages in conducting pre-experimental design. First, students are given pre-test to measure their knowledge. Second, students are given the treatment and last, students are given posttest after using NHT technique. In conducting the data, the researchers spend seven times consisted of pretest, posttest, and five times treatments. As the result, the mean score of pre-test is 43.58. After implementing NHT technique in every meeting, reading comprehension of students had been getting better, it can be seen in average of the mean score of post-test became 62.45. It can be concluded that NHT technique can improve students’ reading comprehension.Keywords: Numbered-head together, Students’ reading comprehension