Reviewerly/exHarmony huggingface dataset:
Community-Based Disaster Communication Management

Indonesia is a country that is prone to disasters. To this relation, the government has created the National Disaster Management Agency (BNPB) and the Regional Disaster Management Agency (BPBD) in almost all provinces. However, the magnitude of the potential for disaster causes the government to feel the need for community support in disaster mitigation efforts. Community participation is absolutely necessary. It is in this context that the emergence of the community, in this case, the Garda Caah, is important. With the motto "Hope for the best, prepare for the worst," this community tries to help residents in flood prevention efforts and minimize the impact of flooding by providing immediate and continuous information. The aspect of managing communication and information is the most important part of this community. This study uses a qualitative method with a case study approach. The data collection techniques were carried out by interview, focus group discussion, and observation. There are two main results of this study namely (1) self-management of flood disaster anticipation based on the learning process, empowerment and volunteer activities, (2) the transition of traditional information systems that are modest to a new information system that is based on technology. Keywords: Community, Garda Caah, participatory communication management, disaster.
Professional development and professional retraining of teachers in the research approach.

The article deals with the actualization of additional professional pedagogical education, which at the present stage of development of society is considered as the most important resource for the modernization of education in General, is defined as the most important tool for the socio-economic development of the country and regions. The author reveals the modern requirements for professional development of teachers, professional-pedagogical competence which is the main resource to achieve the strategic objectives of the Russian Federation to join the national scope of education in the TOP 10 of the leaders in providing through the creation of state security and a high quality of life for the population. The article shows the relationship between the competence paradigm and the professional standard of a teacher, when the practical reflection of the competence paradigm determines the content and structure of the professional standard of teaching staff, in which labor actions, necessary skills and mandatory knowledge of all functions of the integral pedagogical process (training, education, development) are both a marker of personal self-development for a teacher and a criteria basis for assessing (self-assessment) professional and pedagogical competence. The author presents the research approach as a technology of self-development of teachers based on long-term personal experience of scientific and pedagogical activity and research practice (reflected in scientific and methodological publications). On the basis of the dissertation research (1985), the teacher's readiness to use the research approach in teaching is introduced into scientific and methodological circulation, the content, meaning and significance of such readiness for the self-development of a teacher are described. The results of the work suggest the possibility and necessity of practical use of the research approach in additional pedagogical education in the implementation of additional professional programs of professional development and professional retraining of teachers.
Exploring Linguistic Modifications of Machine-Translated Literary Articles: The Case of Google Translate

Google Translate, a free multilingual machine translation service, developed by Google has attracted the attention of countless users due to its ease of use through modern means of mass communication, and has become the only translation tool in some areas. However, compared to human translation, these machine tools have not yet been able to deliver high-quality translations due to the complexity of translation process. Therefore, studying the modifications of machine translated texts is of great importance. Therefore, the current study aimed to explore the types of linguistic modifications of the texts translated from Persian into English through Google Translate. To this end, the abstracts of ten unpublished Persian literary articles intended to be submitted to Iranian journals were selected for the analysis. The selected abstracts were initially translated into English (target language) through Google Translate from Persian (source language). To identify the kinds of changes needed to make them academically acceptable, the machine translated texts were all post edited. Then, the original Google translated texts and their post edited versions were compared to figure out the types of the applied modifications. The results of this qualitative study indicated that the linguistic post edition modification of the texts included tense, literal translation, redundancy, collocations, deletion of the main verb, word-choice and proper nouns.
Technological knowledge application on academic writing English education study program students

Technological knowledge plays a role in academic writing such as assisting in finding suitable references, checking plagiarism, and publishing the article. However, technological knowledge does not always provide benefits in academic writing. Technological knowledge may affect the writers’ mentality to take shortcut in finishing and checking their writing. The objectives of this study were: (1) to find out the technological knowledge level of English education study program students, (2) to find out how English education study program students applied their technological knowledge in academic writing, and (3) to find out the problems English education study program students encountered in applying their technological knowledge in academic writing. The study’s participant was 13 students from class B 2016 Palembang of English Education Undergraduate Program along with the latest lecturer that teaches them writing. This research used descriptive qualitative design. The data were collected by questionnaire, observation, interview, and document gathering. Percentage calculation, transcribing, and triangulation were used to analyze data. The findings showed that (1) The technological knowledge level of the participants is level two Technical Maxim, (2) the participants applied technological knowledge on academic particularly in finding references and structuring idea, and (3) the participants have several problems in applying technological knowledge in academic writing, such as in citing references correctly, avoiding tendency to copy-and-paste, structural error due to using automatic correction, and paper formatting.
RePersian - A Fast Relation Extraction Tool in Persian

The task of extracting semantic relations from raw data is called relation extraction. One of the most important fields in open information extraction is the automatically extraction of relations in any domain, especially in web mining. There are many works and approaches for relation extraction in English and other languages. Some of these approaches are based on parsing trees. Dependency parsing in the Persian language is difficult and time-consuming, since Persian is a low resource language and has also a dependency grammar and lexical structure, which affects also the speed of relations extraction in Persian. In this paper we will introduce a fast relation extraction method in Persian called RePersian. RePersian is dependent on part-of-speech (POS) tags of a sentence and special relation patterns, which are extracted by analyzing sentence structures in Persian. For finding relation patterns, RePersian searches through POS-tags that are given in regular expression forms. By matching the correct POS pattern to a relation pattern, RePersian extracts the semantic relations in a sentence. We appraise RePersian in two different scenarios on the Dadegan Persian dependency tree dataset. RePersian had on average the precisions 78.05%, 80.4% and 54.85% in finding the first argument on a relation, the second argument and the right relation between them.
Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design

Deep Neural Networks (DNNs) have achieved remarkable progress in various real-world applications, especially when abundant training data are provided. However, data isolation has become a serious problem currently. Existing works build privacy-preserving DNN models from either algorithmic perspective or cryptographic perspective. The former mainly splits the DNN computation graph between data holders or between data holders and server, which demonstrates good scalability but suffers from accuracy loss and potential privacy risks. In contrast, the latter leverages time-consuming cryptographic techniques, which has strong privacy guarantee but poor scalability. In this article, we propose SPNN—a Scalable and Privacy-preserving deep Neural Network learning framework, from an algorithmic-cryptographic co-perspective. From algorithmic perspective, we split the computation graph of DNN models into two parts, i.e., the private-data-related computations that are performed by data holders and the rest heavy computations that are delegated to a semi-honest server with high computation ability. From cryptographic perspective, we propose using two types of cryptographic techniques, i.e., secret sharing and homomorphic encryption, for the isolated data holders to conduct private-data-related computations privately and cooperatively. Furthermore, we implement SPNN in a decentralized setting and introduce user-friendly APIs. Experimental results conducted on real-world datasets demonstrate the superiority of our proposed SPNN.
Реализация логического вывода в продукционной экспертной системе с использованием Rete-сети и реляционной БД

One of the areas of artificial intelligence is associated with the development of expert systems (ES).Most often, these systems use a knowledge model in the form of rules, called the Post-production model, such ES are called production expert systems.The classical algorithm for obtaining a solution in an expert system is a sequential logical conclusion.With an increase in the volume of rules in the knowledge base, the inference is performed for an unacceptably large time period, which reduces the possibility of obtaining an operational solution.To speed up the output, it is proposed to use the Rete network, a logical inference algorithm for production expert systems proposed by Charles Forgy.The Rete networkthe pattern matching algorithmpartially solves this problem, but it is desirable to accelerate the conversion of the original rules to the Rete network.To this goal, the paper proposes the formation and storage of working memory of the logical output system of production expert systems based on Rete network technology using a relational data model.The paper demonstrates the architecture of the data store and knowledge of intelligent systems, describes the implementation of the expert system based on the specification of this architecture, shows the structure of the developed expert system.The approbation has been tested using cognitive models.The cognitive model is one of the types of semantic models that reflects the causal relationship between concepts.It was previously proposed to use the conversion of cognitive models into ES production rules to automate the interpretation of cognitive models.The authors illustrate The use of a Rete network for logical inference on products by the example of a cognitive model of one of the threats to energy security: "Underinvestment in the energy sector".The paper shows that the use of a Rete network and a relational database for storing the working memory of the logical inference system in the developed expert system allows reducing output time with a large number of rules in the knowledge base compared to the naive search algorithm.
Innovative potential of a teacher in a new reality: challenge and response

The article deals with the problem of the professional development of a teacher in the new educational reality and the conditions that ensure the effectiveness of his professional work. Modern challenges (among which the challenge of uncertainty occupies a special place) determines and defines the innovative way of development of education and the teacher today. The innovative potential is considered as a system-forming component in the structure of the teacher's professionalism; features in the development of innovative potential are described using the example of preschool educational institutions and the risks of the management system in ensuring the effectiveness of professional activity are analyzed. Key words: innovation, innovation potential, sense formation, vitality, responsibility, reflection, professional deformation.
Development of creative orientation of future teachers based on a research approach

Transitive society makes changes in the traditional teachers training. The relevance of this issue is becoming more and more important in the light of the tendency to reduce the motivation of students to study, to obtain basic academic school knowledge. This should lead us to look for innovative approaches in the future teachers training. The article deals with the specifics of the training of future teachers in higher education and the main aim is the practical implementation of student research projects. Special attention is paid to the analysis of the professionalism of the future practice-oriented teacher and to the development of its creative orientation through a research approach to the modelling of professional activities
Quantum fast-forwarding

We introduce a new tool for quantum algorithms called quantum fast-forwarding (QFF). The tool uses quantum walks as a means to quadratically fast-forward a reversible Markov chain. More specificall...
Implementation of Virtual Reality for Virtual Laboratories on Plant Anatomy Lessons

Plant anatomy is a course that requires students to be able to observe cell characteristic in qualitative and quantitative.Qualitative observation is understanding the characteristics of cells in terms of features, shapes, function, and located in organs.While quantitative observation is understanding the characteristic of cells in terms of size and modeling in 3 dimensions.All this skills can be a burden for students in learning process takes conventionally (face to face and ordinary practicum).So, it need a new learning media for students in Virtual Reality (VR).This study aims to build a virtual lab application to help students understanding plant anatomy by using VR media.VR allows students to learn in new ways.VR will bring students into virtual world but feel like real world.This VR application consist of several parts, there are pretest, tutorial, simulation, and posttest.Based on trial phase which is calculated by t-test and N-gain score (%) shows that there is effectiveness in using VR Virtual laboratory can make students to carry out lab work without being bound by time and place.In addition, students will also get more clear and interactive description of plant anatomy in qualitative and quantitative observation.
E-Readiness of Integrated Information Systems Using STOPE Framework in Udayana University

Many industries and institutions have switched to digital technology, an integrated information technology system, since we entered the era of the industrial revolution 4.0. In implementing new strategies, problems often occur because they do not assess technology readiness (e-readiness) to be built. Therefore, it is necessary to conduct a technology readiness assessment (e-readiness) either before or after the new system is implemented to assess how ready it is. The review can use the STOPE framework to be flexible so that this framework can be adjusted to the case study handled. IMISSU is an integrated management information system technology belonging to Udayana University. The results of the IMISSU e-readiness assessment found that the readiness of Udayana University in implementing IMISSU is at a very ready level (4 of 4). Assessment using the STOPE framework includes three levels, namely the domain, sub-domain, and sub-sub-domain levels. The study was conducted by distributing 100 questionnaires divided among various academicians in the university, adjusted to the STOPE framework domain.
Attaining competences in software quality oriented design based on cyclic learning

This Research to Practice Full Paper delineates the impact of using cyclic learning to obtain competences in software quality oriented design. Nowadays, the need for quality in the software systems has become more and more a concern for many researchers and industry practitioners. Developing students' appropriate competencies and skills in writing quality programs must be an important objective of any Software Engineering related course from the Computer Science Curricula. In order to attain this goal, the paper presents a new strategy for reflecting software quality models into Software Engineering related courses based on cyclic learning. The method is based on an educational strategy that integrates the cyclic learning approach and induces to the students the awareness regarding the importance of developing quality software. We focus on a set of software quality characteristics described by the ISO25010 quality model for which we analyze the level of knowledge attained by the students during the entire bachelor cycle of studies. The study is directed by a detailed analysis of three courses: Advanced Programming Methods, Parallel and Distributed Programming, and Software Systems Verification and Validation, which were chosen in order to master the analysis complexity, but at the same time to assure coverage of as many quality attributes as possible. The investigation includes qualitative and quantitative analysis, directed by the objective of establishing the efficiency and effectiveness of the approach. The results obtained confirm both students' awareness regarding the importance of learning software quality attributes, and the efficiency of using cyclic learning in teaching this subject. We also outline several insights and advantages, and we conclude by showing that the proposed strategy fulfilled the expected objectives.
Cooperative trajectory planning for mother/child aircrafts in aerial recovery

Aerial recovery technology for aircrafts plays a significant role in practical applications, which presents a challenging problem in cooperative trajectory planning. To solve the problem, a hierarchical trajectory planning architecture is proposed in this paper. Firstly, the waypoints of the mother aircraft trajectory are obtained based on the distribution of the child aircrafts by using a hierarchical clustering algorithm. A greedy algorithm is used to obtain the traverse sequence for the waypoints and the mother aircraft trajectory is generated based on the Dubins path. Secondly, a genetic algorithm is employed to optimize the recovery position and recovery time for each child aircraft. Lastly, the trajectory of each child aircraft is generated by using a double-stage trajectory generation method. Simulation results validate the effectiveness of the proposed method for cooperative trajectory planning in aerial recovery.
An Experimental Study on Pictographic Character Teaching for Primary School Pupils in Thailand

Primary school pupils in Thailand may encounter tremendous difficulties in learning Chinese and Chinese character learning is one of them.This paper, starting from the characteristics of pictographs, selects 50 pictographic characters as the teaching content and takes the sixth-grade students of Nan Christian School in Thailand as the research object.The students are divided into two groups.One is the experimental group and the other is the control group.Different teaching tactics and methods are used in teaching.Through analysis of the results of the two tests, this paper will try to seek the answer to the question about which pictograph teaching method is more suitable for Thai students.The author hopes that the experimental results can provide some effective suggestions in the pictographic character teaching for Thai primary school students.
The Nepal–India Border and Borderland Communities Under COVID-19

There is an open border regime between Nepal and India since centuries. But all the border-crossings have been closed dramatically during the COVID-19 pandemic period. The number of Border Observation Posts increased from 120 to 500 to obstruct movement. So the daily activities of borderland communities were affected.
EFFECTIVENESS OF SMARTPHONE ON EFL READING: LEARNERS’ PERCEPTION IN ASIAN COUNTRIES

COVID-19, the deadly and infectious virus, is a devastating blow for the world. Every single person in the world today has been impaired by Coronavirus in a variety of ways. The educational system across the globe has thundered this new phenomenon. Many institutions have moved their programs from offline to online mode. This pandemic left no other option for the academy but to adopt a new method of pedagogy. Smartphones would be a better way to promote online education. Smartphone users have been rising excessively in Asia in recent years. The purpose of this study is to explore and describe the learners' perception in Asian countries concerning the effectiveness of smartphone on EFL reading. This research is a systematic analysis of a qualitative nature. Altogether, 39 studies were selected on the learning perception of the smartphone for EFL reading. The studies included the following countries: Bangladesh, Indonesia, Iran, the Kingdom of Saudi Arabia, Malaysia, Nepal, Sri Lanka, Taiwan, and Thailand. These nine countries have been chosen from countries in Asia whose official language is different from English. The findings indicate that the reading habit of Asian EFL learners is less and is slowly decreasing, as conventional classrooms may not fulfill learners' needs at times, as printed books are not fun. Using a smartphone for an EFL-reading can be a better choice because the smartphone is accessible and affordable. Leaners spend a significant amount of time on smartphones, especially on social networking sites. Learners use smartphone apps to read vocabulary. The learners stress that smartphones help you find out what to learn and, most importantly, how to learn. Learners accept that using smartphones to learn English enhances their critical thinking, innovative thinking, questionability, problem-solving, communication, and teamwork to some degree. Specifically, the use of smartphone guides them to a lifelong learner who is self-reliant. The common problem with smartphones is interrupted Wi-Fi connectivity. Using a smartphone can contribute to several health issues. The learners' critical issue is the irritation of the eyes caused by the brightness of the screen. Some apps have a few pedagogical elements for reading. Nevertheless, learners agree that a smartphone cannot substitute a good teacher. They need guidance from teachers to decide what to learn and how to learn. Overall, reading smartphones in English has a positive effect in Asia. Article visualizations: