Reviewerly/exHarmony huggingface dataset:
PEMBELAJARAN MENULIS TEKS EKSPLANASI DENGAN MENGGUNAKAN METODE MIND MAPPING

This research was conducted to study the learning of explanatory text writing that raises various problems including, students difficulties in expressing ideas through written language, students' difficulties in starting the writing process and students difficulties in developing the right words. This research was conducted on eighth grade students of Darul Hikmah Parongpong Middle School. This study aims to describe the learning of writing explanatory texts using mind mapping methods, fostering students curiosity in writing especially in writing explanatory texts, and to overcome students difficulties in pouring ideas into thinking in writing explanatory texts. This research method uses descriptive qualitative which aims to describe naturally and systematically from the results of writing explanatory texts, as well as using data collection techniques with writing skills tests. The results of the study during the learning activities carried out on the explanatory text writing test using the mind mapping method obtained results with an average value of 19.40, with a percentage of 84.43% with good criteria. Thus learning to write explanatory texts using the mind mapping method can be said to be successful by obtaining a percentage above average.
The feasibility of differential evolution algorithm to solve the problem of set partition

differential evolution algorithm; set partitioning problem; combinatorial optimization
A checking approach for distributed building data

Since the early 2000s, the building industry has been steadily embracing the concept of Building Information Modelling (BIM). Currently, the BIM focus lies on file-based collaboration, although with the rise of semantic web technologies, the benefits of web- and data-based collaboration for the Architecture, Engineering and Construction (AEC) industry come within reach. A web-based AEC industry that relies on Linked Data can provide various advantages compared to ‘classic’ BIM practice, e.g. regarding interdisciplinarity, linking across domains and logical reasoning. In this paper, we investigate Linked Data rule checking mechanisms on decentralised building datasets. The recent Semantic Web standard Shapes Constraint Language (SHACL) is used to check a Linked Data building model that is hosted on multiple data pods. After a short introduction to Linked Building Data and rule checking approaches, a minimal distributed building model will be checked with basic SHACL patterns, generating a report to inform both end users and tools. In this case study, we make use of the Social Linked Data (Solid) ecosystem, a set of conventions and tools for creating decentralised applications.
Digital microbiology.

BACKGROUND: Digitalization and artificial intelligence have an important impact on the way microbiology laboratories will work in the near future. Opportunities and challenges lie ahead to digitalize the microbiological workflows. Making efficient use of big data, machine learning, and artificial intelligence in clinical microbiology requires a profound understanding of data handling aspects. OBJECTIVE: This review article summarizes the most important concepts of digital microbiology. The article gives microbiologists, clinicians and data scientists a viewpoint and practical examples along the diagnostic process. SOURCES: We used peer-reviewed literature identified by a PubMed search for digitalization, machine learning, artificial intelligence and microbiology. CONTENT: We describe the opportunities and challenges of digitalization in microbiological diagnostic processes with various examples. We also provide in this context key aspects of data structure and interoperability, as well as legal aspects. Finally, we outline the way for applications in a modern microbiology laboratory. IMPLICATIONS: We predict that digitalization and the usage of machine learning will have a profound impact on the daily routine of laboratory staff. Along the analytical process, the most important steps should be identified, where digital technologies can be applied and provide a benefit. The education of all staff involved should be adapted to prepare for the advances in digital microbiology.
Machine Translation as an Alternative to Language-Specific Dictionaries for LIWC

This research presents an alternative approach for applying the text analysis program, Linguistic Inquiry and Word Count (LIWC) to non-English text: using machine translation (MT) to translate the text into English and then apply the English LIWC dictionary, rather than applying a translated LIWC dictionary to the original texts. We evaluate the alternative method using the output from two open-source MT systems and Google Translation on a set of TED Talk subtitle data. The method is tested on three language pairs: Dutch-English, German-English and Spanish-English. Provisionally, MT seems to lead to better results in the three language pairs than language-specific dictionaries.
A CRITICAL DISCOURSE ANALYSIS OF CAR ADVERTISEMENTS IN TELEVISION

This research was conducted to find out realities that showed on discourse of car advertisements in television based on the critical discourse analysis theory by Guy Cook and to know the purposes that are showed in car advertisements on television. This research used the Critical Discourse Analysis based on Guy Cook’s theory. It is a descriptive qualitative research in conducting the research. The data of this research are 21 car advertisements that are in four commercial televisions, such as metro TV, Trans 7, MNC TV, and RCTI. The data are taken from spoken text, written text, and also expression of the advertisement models. The researcher also uses respondents to answer the questionnaire. This questionnaire is used to answer second problem statement that is the purposes that are showed in car advertisements in television. Based on the analysis, eight elements of Guy Cook’s theory in Critical Discourse Analysis are substance, music and pictures, paralanguage, situation, co-text, intertext, participant, and function. It can be concluded that 100% of 21 car advertisements contains substance, music and pictures, paralanguage, situation, participant, and function. From 21 car advertisement, there are two car advertisements that contain cotext. So the percentage is 9, 52%. Then, only Daihatsu (Man. City vs Daihatsu Team version) that didn’t contained in intertext. So, the percentage of the car advertisements that contain intertext is 90, 47%. Based on the questionnaires which were distributed to the 15 people in all segments, the purposes of car advertisements are to influence the people to choose the product based on its strengths. Because of advertisement, the power of interest also appears by the costumer to buy this product. Based on the findings, it is suggested that the teacher have to conduct some research about Critical Discourse Analysis in other subjects. For the student, it is expected they can explore Critical Discourse Analysis in other theories, such as theory from Roger Fowler and friends, Theo Van Leeuwenn, Sara Mills, Van Dijk, and Norman Fairclough. For other researchers, it suggested to conduct a research in other subject of advertisement and other theories of Critical Discourse Analysis. Besides, it is also suggested to the other researcher to analyze the data which are taken from the different data sources, such as advertisements and articles in magazines, newspaper, and others.
Machine Learning Techniques for the Investigation of Phishing Websites

Ajaykumar K. B. Rudra, BhawanaPhishing is ordinarily acquainted with increase a position in an organization or administrative systems as a zone of a greater assault, similar to an advanced tireless risk (APT) occasion. An association surrendering to such a partner degree assault generally continues serious money related misfortunes furthermore to declining piece of the pie, notoriety, and customer trust. Depending on scope, a phishing attempt may step up into a security episode from that a business can have an inconvenient time recuperating. So as to locate this kind of assault, we endeavored to make a machine learning model that advises the client that it is suspicious or genuine. Phishing sites contain various indications among their substance also, web program-based information. The motivation behind this investigation is to perform different AI-based order for 30 features incorporating Phishing Websites Data in the UC Irvine AI Repository database. For results appraisal, random forest (RF) was contrasted and elective machine learning ways like linear regression (LR), support vector machine (SVM), Naive Bayes (NB), gradient boosting classifier (GBM), artificial neural network (ANN) and recognized to have the most noteworthy exactness of 97.39.
ІНТЕРАКТИВНІ КАРТИ ПОНЯТЬ В ОНТОЛОГІЧНО-ОРІЄНТОВАНИХ ІНФОРМАЦІЙНО-НАВЧАЛЬНИХ ВЕБ-СИСТЕМАХ

Background. Information and learning portals should be built by creating an ontological-oriented model of educational content, which involves information formalization, ontological domain modeling and didactic function, which provides representation and visualization of the requested educational information. Since graph visualization of educational information increases the efficiency of its learning, there is a need for consideration and analysis of concept maps and subsequent study of the means of their automated construction with the purpose of expanding the functionality of information and educational web environments. Objective. The purpose is to analyze the relevance of graph visualizations of domains and to develop an automated method for constructing interactive concept maps in ontology-oriented educational web systems. The task is to automate the construction of relations between concepts and to provide convenient display of graphs for users of the educational web system with the use of content formalization based on the concept-thesis model. Methods. A method for constructing the didactic decomposition of the concepts of content segments in the form of a graph with the use of selective rendering visualization, representing the relationship between the concepts of concept-thesis model, is proposed. Results. The presented method provides information and educational content visualization in the form of a map, implements an interactive display of natural-language information about the chosen concept and the search for concepts in the graph with navigation to the target concept. A software system has been created that implements the proposed method for constructing interactive concept maps. Conclusions. The system for constructing interactive concept maps has received positive feedback from users as a convenient means of visualizing new information for study. Among the perspective directions of development of the proposed system are optimization of algorithms and minimization of computing load on all system links in the problem of constructing and using interactive concept maps.
Application of Response Surface Model for Sizing Solar Thermal Energy System at Residential Scale During the Early Design Stages

Abstract In the present study, the design of experiments (DOE) methodology is employed to statistically model and optimize the thermal performance of a forced circulation solar water heating system (FSWHS) with various budget constraints using a small number of simulation trails. The simulation trails are implemented using a model developed in TRNSYS 17 software, and climate conditions of Cairo, Egypt. A sequential approach is used to obtain the optimum system configuration with respect to the budget constraint. The definitive screening design is first utilized to eliminate the insignificant factors and investigate the effect of the quadratic terms. Then, the Box-Behnken design (BBD) is used for developing mathematical models based on multiple regression analysis. Finally, the optimization problem is formulated and solved using the desirability function. The developed mathematical models for the thermal performance responses showed a good agreement with the results obtained in TRNSYS for various budget constraints. This agreement proved the ability of the mathematical models to predict the performance of FSWHS precisely. Furthermore, the optimization methodology can be applied for various types of solar water heating systems, and different renewable energy applications.
Роль "мягких" навыков в современной профессиональной деятельности

This article identifies the importance of students’ soft skills building for education and their future career. Modern professional activity does not require only specific knowledge, but also soft skills necessary for specific professional field. Presently, soft skills play vital roles in the workplace for they raise professional levels and promote successful careers. Therefore, the purpose of  higher education is to produce specialists able to work in competitive environments, which require introducing technologies that form students’ soft skills.In the article, we have justified the choice of the most valuable students’ personal and professional qualities required for forming soft skills in the learning process. The importance of self-organization and ability to work on a team has been revealed on the basis of analyzing psychological and pedagogical literature.The relevance of self-organization and working collaboratively has been supported by data obtained from the soft skills ratingsprovided by Russian and western employers. We found that soft skills based on the quality of self-organization and working on a team are in the Top-10 of analyzed ratings demonstrating their importance in Russia’s modern labor market.Consequently,the assessment technology aimed at forming students’ personal and professional skills will be developed and tested during final stages of our research.
LibGuides: Digital Learning Guide: Home Base

This guide was created as part of emergency planning in case we need to close school for weeks at a time
Implementasi model pembelajaran kooperatif tipe Teams Games Tournament (TGT) untuk meningkatkan motivasi belajar perkalian dan pembagian peserta didik kelas II SD

The purpose of this research is to improve student motivation by implementation of Teams Games Tournament cooperative learning model on multiplication and division learning. The type of this research is class action research that consist of 3 cycles. The subject of this research is 32 students of 2 nd grade of SDN Prawit I No.69. Data collection techniques are conducted by questioner, observation, and interview. Data analysis technique that used  is interactive analysis that consist of data collection, data reduction, data display, and verification. To determine the result of student learning motivation, this research used source and method triangulation. The result of this research shows that multiplication and division learning motivation of the students are increase. First cycle result is classical pass percentage reach 37.5%, it increase at second cycle become 68.75%, and in the last cycle reach 84.38%. Based on the data analysis result, the conclusion of this research is Teams Games Tournament cooperative learning model can improve multiplication and division learning motivation of 2 nd grade student of SDN Prawit I No.69 in the academic year of 2017/2018. Implication of Teams Games Tournament cooperative learning model was conducted by five steps. They are class presentation, teams, games, tournament, and team recognition. Key word: Multiplication and Division Learning Motivation, Teams Games Tournament (TGT) Cooperative Learning Model
INTENTIONAL ENGLISH TYPOGRAPHY ERRORS ON FACEBOOK

This research aims to identify the linguistics unit used in intentional English typography errors, whether in the forms of word, phrase, clause or sentence. This research also has purpose to describe the types of intentional English typography errors, whether in the forms of omission, addition, substitution, or transposition. This research was a kind of qualitative design that tried to describe the linguistic units and forms of intentional English typography errors on facebook. Data of this research were Englishwords containing intentional typography errors used by the researchers’ friends on facebook in writing their status or comments. The data were got from the source of facebook in which data were collected through an observation toward English typography errors on status or commentson friends’ facebook accounts. The data then, were documented through facilities of print screen (capturing by computer) or screenshoot (capturing by phone cellular). Next, the collected data were analyzed into three steps, namely reduction, display, and verification. To check the data validity, this research applied researcher triangulation. This research resulted in collecting 93 data. The linguistic units consisted of 88 words, 1 phrase, and 4 clauses. The words involved 51 nouns, 8 adjectives, 13 verbs, 3 adverbs, and 13 greeting words. Then the linguistic units could be clasified in 65 substitution that can be categorized into 16 letter substitution and 49 sound substitution. There were also data belonging to 5 addition, 11 ommission, and 1 transposition. It was also found combined-forms, namely 6 substitution – addition, 3 substitution – ommission, and 2 addition – ommission.
The Longitudinal Study of Factors Affecting the Career Maturity of Middle School Students: Focus on Busan Education Longitudinal Study(BELS)

본 연구에서는 부산교육정책연구소의 부산교육종단연구(BELS: Busan Education Longitudinal Study) 자료를 활용하여 부산광역시 중학생의 진로성숙도 변화 양상과 변화에 영향을 미치는 요인을 분석하고자 하였다. 부산교육종단연구(BELS) 중학생 1차 자료(1학년)에서 3차 자료(3학년)에 포함된 총 2,869명(남학생 1,545명(53.9%), 여학생 1,324명(46.1%))을 최종분석에 사용하였다. 분석 결과, 첫째, 부산광역시 중학생의 진로성숙도 변화 양상은 시간의 경과에 따라 감소하는 것으로 나타났으며, 개인 간의 차이가 있는 것으로 나타났다. 둘째, 진로성숙도 초기값에 영향을 미치는 변인은 가정배경 변인 중 부모-자녀 관계, 학생 개인변인인 자아존중감과 학업적 자기효능감이며, 교사배경 중 학습자 중심 수업이고, 학교배경 중 학교행복감과 자유학기제만족도로 나타났으며 모두 정적으로 유의한 영향을 미치는 것으로 나타났다. 셋째, 진로성숙도 변화율에 영향을 미치는 변인은 가정배경 변인 중 부모의 SES, 학생 개인변인 중 학업적 자기효능감, 학교변인 중 학교행복감으로 나타났다. 부모의 SES는 정적으로 유의한 영향을 미치는 것으로 나타났으나 학업적 자기효능감, 학교행복감은 부적으로 유의한 영향을 미치는 것으로 나타났다. 이러한 결과를 바탕으로 논의점을 제시하였으며, 본 연구의 제한점과 후속연구를 위한 제언을 하였다.In this study, we tried to analyze the factors that may affect the career maturity of middle school students in Busan Metropolitan City using the data of Busan Education Longitudinal Study (BELS). The 1st, 2nd, and 3rd year data of the BELS were utilized and a total of 2,869 individuals (1,545 males (53.9%) and 1,324 females (46.1%)) were included in the final analysis. As a result of the analysis, firstly, it was clarified that the degree of maturity change of middle school students in Pusan &#8203;&#8203;Metropolitan City decreased with time, and there was a difference among individuals. Second, the factors that influence the initial value of career maturity are parent-child relationship (family factors), self-esteem and academic self-efficacy (student factors), learner-centered class (teacher factors), and school happiness and free-semester satisfaction (school factors) Thirdly, the factors affecting the rate of change in career maturity were parents’ SES, academic self-efficacy, and school happiness. Parents’ SES was found to have a significantly positive effect. However, it was found that academic self-efficacy and school happiness have a significantly negative effect. Based on these results, implications were presented as well as the recommendations for future research and the limitation of this research.
A High Dimensional Entanglement-based Fully Connected Quantum Key Distribution Network over 100 Users

A high-dimensional entanglement-based fully connected quantum key distribution network is proposed and demonstrated experimentally over 100 users, where a broadband entanglement photon pair source is shared by end users via wavelength and space division multiplexing.
Системы синхронизации псевдослучайных последовательностей в измерительной аппаратуре логического функционального контроля цифровых каналов связи

The analysis of the working of the synchronization system of the pseudo random sequences in the control error system in the digital control channels by the absence of the noise was taken. The principles of the analysis of the synchronization system of the sum and the recommendations by abbreviation of the input time in the synchronization were given.
A Novel Hierarchical Attention-based Method for Aspect-level Sentiment Classification

Aspect-level sentiment classification is an essential issue in sentiment analysis that intends to resolve the sentiment polarity of a specific aspect mentioned in the input text. Recent methods have discovered the role of aspects in sentiment polarity classification and developed various techniques to assess the sentiment polarity of each aspect in the text. However, these studies do not pay enough attention to the need for vectors to be optimal for the aspect. To address this issue, in the present study, we suggest a Hierarchical Attention-based Method (HAM) for aspect-based polarity classification of the text. HAM works in a hierarchically manner; firstly, it extracts an embedding vector for aspects. Next, it employs these aspect vectors with information content to determine the sentiment of the text. The experimental findings on the SemEval2014 data set show that HAM can improve accuracy by up to 6.74% compared to the state-of-the-art methods in aspect-based sentiment classification task.
Photonic Quantum Computing

Quantum computing is set to revolutionize information technologies. In this talk I will outline the photonics approach to quantum computing, introducing the silicon photonic quantum circuit and highlighting approaches to manufacturability and scalability.
RETRACTED: Role of pedagogical higher education institutions in solving the problem of rational organization of vocational guidelines

RETRACTED Introduction. The article discusses the potential of pedagogical universities in solving the problem of career guidance in the country. The current state of career guidance is described, the reasons for its low efficiency, as well as the role of the initial stage of schooling, as the basis for the formation of professional skills are assessed. Materials and Methods . The research was based on publications, monographs, dissertations of domestic and foreign scientists in the field of career guidance, a comparative analysis of the data of sociological surveys was carried out, methods of analysis, synthesis and modeling of the socio-pedagogical space were used. Results. It is established that the ineffective organization of career guidance leads to errors in choosing a profession, which is an unfavorable factor not only for personal growth, but also harms the country's economy. This dictates the need to develop a new direction of activity in the conditions of pedagogical universities, which, having the necessary personnel and production potential, can become regional career guidance centers, providing methodological guidance and coordination activities, accompanying and supporting career guidance work of schools, implementing comprehensive career guidance diagnostics programs, as well as training programs career counseling specialists (career counseling advisors). These specialists, carrying out qualified systemic activities in various educational institutions, will be able to work in the information, educational, diagnostic, consultative, intermediary and other areas. The authors prove the need for a system-activity approach to career guidance, the elements of which should be interconnected and led. Discussion and Conclusion . The article proposes a new model for organizing career guidance work, proves the need for a system-activity approach, based on the continuity of all levels of education. The main provisions of the article can become the basis of relevant pedagogically sound career guidance projects that take into account the socio-economic interests of the state and the needs of subjects of career guidance choices.