Reviewerly/exHarmony huggingface dataset:
Analysis of the Types and Predictors of Satisfaction with the First Job of Science and Engineering Graduate

The purpose of this study is to derive groups based on the first job satisfaction pattern of science and engineering graduates, and to explore the characteristics of university institutions that influence the classification of each group. Six potential groups of first job satisfaction were extracted for science and engineering graduates through the definition of the first job satisfaction, and as predicted variables of each group, the level of agreement between jobs and college education that can be intervened at the individual and school level, and university education satisfaction factors was verified. The subjects of this study were 1058 students who graduated from the science and engineering college of the ‘2018 College Graduates’ Vocational Movement Path Survey (2017GOMS)’, and latent hierarchical analysis, crossover analysis, and logistic regression analysis were performed as data analysis methods. The summary of the research results is as follows. First, 6 potential groups were extracted; ‘welfare passive type’, ‘dissatisfied type’, ‘aptitude interest matching passive type’, ‘personnel system active type’, ‘satisfied type’, ‘maximum satisfied type’. Second, factors that are impossible and possible to intervene and change at the university level were derived. Based on the main research results, it was suggested that changes and innovations in science and engineering education are possible only when changes in the method and quality of instruction are preceded by professors. First, each university needs to establish a specialized engineering curriculum that can promote win-win development with the local community. Second, a systematic engineering career path and career development process linked to university education is required.
Privacy-preserving global user profile construction through federated learning

User profiles are derived from big data left on the internet through machine learning algorithms. However, threats of data privacy leakages restrict access to the data in centralised machine learning. Federated learning (FL) can avoid privacy leakage during the data collection phase. Herein, we propose an algorithm for constructing a privacy-preserving global user profile (PPGUP) through FL in a vertical data-segmentation scenario. Participants train local clusters on their data using the CLIQUE algorithm, and carefully encrypt cluster parameters using Paillier encryption to protect parameters from an untrusted aggregator. The aggregator then makes intersections over the cluster parameters without decryption, to construct a GUP. The experiment results show that precision of PPGUP reaches 80% when is set to 1.5, which is improved by 50% compared with DP-UserPro. The runtime exhibits a linear growth with the growth of the dataset size and the increase in the number of participants.
"THE COMMUNICATIVE APPROACH IN TEACHING ENGLISH TO STUDENTS IN AUTOMATICS"

The Communicative Approach is a modern teaching approach based on the concept of learning a language through having to communicate real meaning. In the Communicative Approach, real communication is both the objective in learning and the means through which it takes place. This approach was initiated during the 1970’s and quickly became prominent, as it proposed an alternative to the previous systems-oriented approaches. In other words, instead of focusing on the acquisition of grammar and vocabulary, the Communicative Approach aims at developing students’ competence to communicate in the target language with an enhanced focus on real-life situations. To put it in a nutshell, the Communicative Approach considers using the language to be just as important as actually learning the language.
The Practical Side

Having learned many of the conceptual ideas behind software projects, you’ll be ready to see some action. In the chapters that follow, I’ll help you turn this knowledge into concrete contributions. We’ll look at the whys and hows behind some common project scenarios.
What Is C++?

C++ is a programming language – a standardized, general-purpose, object-oriented, compiled language. Every C++ compiler is accompanied by a set of useful functions and containers called the C++ Standard Library. Bjarne Stroustrup created C++ as an extension to a C programming language. Still, C++ evolved to be a completely different programming language.
Rosalyn Tureck and the principles of her work with baroque art codes

Statement of the problem. Musical art is one of the types of communication where people from different historical eras and cultures are in a kind of dialogue. However, it is necessary that all participants of the conversation either know the same language or have the “keys” to decode it, which, however, is not a guarantee that all participants of the communication process will adequately understand each other. This is due to the specificity of the perceptual process, the mosaic nature of culture, and the change of artistic paradigms. This is vividly illustrated in musical performance because the vast majority of modern artists work with texts from other historical eras. Recent research and publications. The study is based on works devoted to the questions of the understanding of the musical text (I. Sukhlenko), the performing interpretation (P. Thom, T. Verkina, M. Bondarenko, M. Sagalova and K. Timofeyeva), the philosophical foundations of rendition of musical works (G. Medina Riera, H. Hinrichsen), as well as the study of Baroque art (A. Paradiso-Laurin, U. Golomb, H. Meister, P. Williams, O. Slipchenko, I. Melnychuk and O. Dondyk). The purpose of the study is determination of principles of the performer’s work with baroque codes on the example of performing and editing versions of R. Tureck of “Aria and Ten Variations in the Italian Style” by J. S. Bach. The scientific novelty of the study based on the use of hermeneutic, interpretive and historical-cultural methods of analysis, lies in defining the basic principles of R. Turek’s work with codes of baroque art. Results. “Aria and Ten Variations in the Italian Style” by JohannSebastianBach is a vivid example of the boundless interpretative field of the outstanding composer’s work. Having analyzed the external and internal “reference points” of the work, its fundamental “interpretative codes” are defined: the title of the work, which has two components – “Aria” and “alla maniera Italiana”; genre; ornamentation; sound image of the instrument; Baroque era and symbolism of musical works. The activity of American pianist R. Tureсk is a bright page in the history of actualization of the works of the great cantor. That is why it was interesting to find out her principles of rendition of the interpretative codes of “Aria”: 1. Ornamentation. 2. Usage of modern resources for the realization of the composer’s idea. 3. A synthesis of ancient and modern, combining the experience of previous eras with modern perception of the music space. Conclusion. Baroque music has a whole palette of hidden meanings, senses, codes, and thus limitless interpretive potential. R. Tureck has once again proved this by sharing with the masses valuable comments and instructions on the pages of her pedagogical and scientific works, which open up a wide field for research.
Comparison of Binary Logistic Regression and Perceptron Neural Network Modelling in Terms of Prediction Using Breast Cancer Data

Artificial network modelling are being used in areas of prediction and classiﬁcation, areas where classical regression models and other related statistical techniques have traditionally been used. This study is aimed at comparing the Logistic Regression Model and the Perceptron Neural Network Modelling to detect the malignancy or benignancy of the tumorous cell of cancer patients more accurately. Data from the Breast Cancer Wisconsin (Diagnostic) was analysed using the Classical Regression Model and the Perceptron model. The study compared both Binary Logistic Model (BLM) and the Perceptron Neural Model (PNM) by their level of accuracy in predicting the breast cancer outcome. The Perceptron model had greater accuracy (98.3%) than the Binary Logistic Model (97.2%) This goes to show that the Perceptron Neural Network Model was a better predictive model as it had a higher accuracy in predicting the cancer model. The study also found that both the perceptron neural networks and logistic regression models can remarkably predict cancer very close to the actual values but the performance of the perceptron neural network model for prediction of cancer was higher and more precise. The study recommends that Perceptron neural network model as a better alternative to the Logistic Regression Model. Keywords: Logistic Regression, Perceptron, Classical, Neural Network
PHATIC COMMUNICATION AND ITS PRAGMATIC FUNCTIONS

Phatic communication depends on the recognition of a communicative intention. This statement does not link phatic talk to pragmatic functions, but does reflect the fact that phatic utterances should be interpreted not only linguistically but also pragmatically. Proceeding from the assumption that the main aim of phatic communication is to establish and maintain social relationships between the speaker and the hearer, the paper aims at revealing the pragmatic and communicative functions of phatic talk on the basis of examples being selected from popular films and literature.
THE ANALYSIS AND INTERPRETATION OF GREETING AND SMILING GESTURES IN COMMUNICATION

Effective communication is the combined harmony of verbal and nonverbal actions. Gestures and spoken language often go hand in hand. Usually a part of the meaning is expressed by a certain gesture. The meaning of a gesture has some variations depending on the strength of the handshake, its duration, a smile accompanied by other facial expressions such as eye movements, jaw-drop, the tense mouth which are accurately reflecting what’s going on inside the speaker.
Peculiarites of artistic perception of junior schoolchildren with intellectual disabilities

The given article presents the results of a study of artistic perception of junior pupils with intellectual disabilities. Today special school faces the task of increasing the efficiency of educational process. The results of involvement of works of fine art in education show that in special school the reserves of productive achievement of correctional, developmental and educational tasks are not used fully. The issues of perception of junior schoolchildren with intellectual underdevelopment of artistic images and paintings, their understanding and experience, methods of conducting lessons-conversations in fine arts and relating extracurricular activities intended to form and correct the artistic perception of schoolchildren remain topical. The main purpose of a special school is to prepare a child with intellectual disabilities for community service. It is known that a child with special needs can be prepared for socially useful work on condition that school and family are able to correct, to some extent, the shortcomings of child’s intellectual and physical development, form the right attitude to work and point out the minimum of necessary general and vocational skills. Children’s esthetic education as an integral part of the general system of harmonious development has an important corrective value in achieving this goal. Children’s esthetic education in special school, of course, is polluted due to their general intellectual underdevelopment and weak opportunities in independent artistic creativity. Therefore, the leading role in the development of such pupils belongs to the correctional teacher, as well as parents. Intellectual underdevelopment, low level of cognitive activity, disorders of the emotional and volitional sphere make such work complicated. The esthetic perception presupposes the presence of judgments, evaluations, emotional attitude to the world around. Of course, this does not deal with the development of full aesthetic perception in junior pupils with intellectual disabilities. However, under the influence of correctional and educational work it is possible to reach a certain level of correct judgments and develop a certain aesthetic sensitivity with some elements of aesthetic perception. Thus, insufficient coverage of the problem of perception of fine arts by younger pupils with intellectual disabilities in special literature and the necessity to create pedagogical conditions contributing to tackling the problems of special schools in this sphere, the small use of the potential of fine arts in practice with junior pupils with intellectual disabilities, all that conditioned the relevance of the chosen research topic
THE PUBLIC PERCEPTIONS OF NEWS HEADLINES’ LANGUAGE (A CASE STUDY)

The readability of a news report greatly depends on the “catchy” nature of the headline. The present paper studies news headlines based on their pragmatic, semantic and syntactic peculiarities, it analyzes how the headlines are linguistically organized and what kind of attention-seeking strategies the language owns that are used in the formation of a headline. Some of the results of a social survey conducted among the non-native speakers of the English language, who follow the English press, are introduced to reveal how ordinary news readers decode the messages conveyed in the headlines.
ETHICAL ISSUES IN VIRTUAL MEETINGS THROUGH ZOOM CLOUD: A QUANTITATIVE STUDY THROUGH THE OPINION OF UNIVERSITY TEACHERS

The spread of COVID-19 resulted in the deactivation of formal classes and distance education and learning have been adopted in all forms of education.Institutions start using virtual classrooms which cause significant changes in teaching style as well as in teaching pedagogy.Therefore, different cloud hosting platforms are used for conducting lectures among them Zoom Meet is perceived as the leader which has been used across the globe by all forms of education providers.Although studies revealed that there are several privacy and security issues associated with Zoom meet which may affect the intention to use it for business and education purposes.Therefore, a study is required to understand the perception of teachers who are using this application more extensively as compared to other professionals.The data has been collected through quota sampling through closedended questionnaires and SMART-PLS has been incorporated for the analysis of data.The results indicated that university teachers are aware of the privacy and security issues associated with the use of Zoom Meet and hence are willing to change the mode of teaching for upcoming stages and semesters.
Software Project Scheduling with Multitasking

In software development projects, employees tend to switch between various tasks within a time period.In addition, the task duration usually depends on the number of the allocated employees and their skill levels.We investigate the software project scheduling problem with multitasking and variable durations (SPSPM).We present a non-linear optimisation model that is then linearised into an equivalent mixed-integer linear programming model.To efficiently solve the NP-hard SPSPM, we design a two-stage priority rule-based heuristic algorithm and an improved genetic algorithm (GA).Extensive computational experiments are conducted on a benchmark dataset consisting of 540 project instances.The parameter settings of the GA are determined based on the Taguchi method for the Design of Experiment.The computational results obtained by comparing our algorithms with the exact solver CPLEX reveal that our GA is effective and competitive.
The very first story of “ New ☆ Energy Contest”

The New ☆ Energy Contest is a contest conducted by the Technology and Society Division as one of the activities of environmental and energy education, with the aim of raising awareness of environmental and energy problems. The 1st New Energy Contest was held at Tamagawa University on December 20 (Sat) and 21 (Sun), 2008 with the cooperation of the Technology and Society Division. In this manuscript, we will report on the birth of this contest.
Analysis of techniques in operating a drone

In recent years, drones have been used in a wide variety of fields, and almost tasks are performed by manual operation. This study aimed to clarify technique of manual operation on drone pilot. The subjects were one expert with a public license and two beginners. The subjects were sure to do the drone's takeoff, going straight, turning, photographing, and landing in experiment. Moreover the motion in drone and pilot thumb was measured by Optical motion capture（MAC3D system: manufacturing by Motion Analysis Corporation）during landing from takeoff, the conditions of an experiment was recorded with three video cameras. In result, a series of experiment was divided three processes, expert finished all processes in time fewer than Beginner1,2. Focusing on the drone's motion at that time, expert was operating the drone x axis direction and y axis direction simultaneously. On the other hand, Beginner1,2 were operating x axis direction and y axis direction respectively.
Drivers and Barriers to Adopting ICT: Mexican EFL Primary School Teachers’ Perceptions

Information and Communication Technologies (henceforth ICTs) have been widely used by English as a Foreign Language (EFL) teachers as a tool to enhance language learning. This study investigated the drivers and barriers of ICT adoption as perceived by EFL teachers at the primary school level in Mexico. A phenomenological approach was adopted, and semi-structured interviews were used to collect the data. The findings showed that teachers’ positive attitudes towards technology, attention motivation, having access to ICT resources, and enhancing language learning are the main drivers which facilitate the use and adoption of ICT in their classrooms, while, lack of resources, emerging challenges when using ICT resources and teachers’ demotivation are the main barriers. The study concluded that the current findings may help to better understand those factors, and hence inform EFL teachers, policymakers, and education authorities to develop actions to overcome the barriers and promote the pedagogical use of ICT.
WEB 2.0 ARAÇLARI YOLUYLA DİL ÖĞRETİMİ: İNGİLİZCE ÖĞRETMEN ADAYLARININ TUTUMLARI

The purpose of this research was to investigate how gender, socioeconomic status, and year of study influenced the perspectives of prospective language teachers on the use of Web 2.0 technologies in language teaching. This research is an example of descriptive survey model. The participants consisted of 1st and 4th grade pre-service ELT teachers from a state university in Turkey. The data was gathered using an adapted version of the "Web 2.0 Attitude Scale" by Hartshorne and Ajjan (2009). The findings showed that although there were no statistically significant differences between the groups with respect to gender or family income, there were disparities in the outcomes related to the students' academic year of enrolment. As a consequence, neither gender nor socioeconomic status had any impact on how students felt about adopting Web 2.0 technologies in foreign language instruction, but that students' attitudes towards this trend changed for the better throughout the course of their academic careers. It was suggested that Web 2.0 technologies be introduced into the classroom at earlier stages of university education.
STUDENTS’ SOCIAL BEHAVIOR, MOTIVATION AND INTEREST IN USING ENGLISH ON INSTAGRAM AT BOSOWA UNIVERSITY

The objectives of the research were (1) to find out the influence of Instagram on social behavior in using English of under graduate students (2) To find out the influence of Instagram on student’s motivation in using English and (3) To find out the students interest in using English on Instagram. The researcher applied mixed method namely triangulation mixed method design (QUAN-QUAL). The population of this research was the students of English Language Education Program FKIP Bosowa University Makassar. This research used purposive sampling. The sample of this research consisted of 40 students; 10 students from first semester and 10 students from third Semester, 10 Students from fifth semester and 10 students from seventh semester. The research data were collected by questionnaire which was analyzed by descriptive statistic through SPSS version 16 for windows program. The result of data analysis shown that College students had on social networking like Instagram may affect their social behavior. Instagram can encourage the students' motivation and attitudes towards learning English, and also increase interaction between teachers, students and others. Students’ interest in using English on Instagram. In using Instagram, the students are required to be active in using English to improve their ability
LANGUAGE ATTITUDE OF THE ENGLISH DEPARTMENT STUDENTS TOWARD ENGLISH

The objective of this research was to determine the language attitudes of the English Department students towards English. The research method applied in this research is quantitative method. The subjects of this research were students of the English Department at UKI Toraja from the 2017, 2018 and 2019 academic years. Data collection was carried out through distributing questionnaires consisting of 12 statements. Furthermore, the data obtained were analyzed using a Likert scale calculation used to measure these aspects which consisted of 5 (five) scales. The results of this research found that there were two main categories of students’ language attitudes, namely positive and negative attitudes. Respondents consisted of 25 students in the 2017, 2018 and 2019 academic years who filled out a statement questionnaire. Most of the students strongly agree and agree or have a positive attitude towards English. They know the importance of English in this global era, are proud to learn English, and love to use English. Therefore this study suggests, to do more research and studies on the language attitudes of English Department students towards English.&#x0D;
Blockchain-Oriented Data Exchange Protocol With Traceability and Revocation for Smart Grid

&lt;p&gt;The smart energy system (SES) encourages data administration and information services developments, particularly smart grids. Presently, numerous SESs cloud environments are accessible to smart grids. Nonetheless, because of the semi-credible character of the SES cloud environments, achieving secured access, information storage, updates, deletion, tracing, and revocation of ill-disposed clients is a genuine concern. In this publication, an Ethereum blockchain-oriented secured access regulation design upholding traceability and revocability is offered for smart grids to resolve these problems. The blockchain implements unified identity verification and saves all public-keys, users&amp;rsquo; attribute sets, and revocable lists. The system administrator creates system parameters and sends private-keys to users. The domain administrator prepares the domain&amp;rsquo;s security and privacy-preservation policies and executes encryption procedures. If the attributes correspond with the access policy and the user&amp;rsquo;s ID is unrevoked, they could acquire interim-decryption capabilities from the edge/cloud servers. Tracking malevolent users for revocation is applicable throughout all stages, ensuring the system is secured under Decisional-Bilinear-Diffie-Hellman (DBDH) complex theory and can withstand multi-attacks. Analysis revealed the size of the public/private keys to be shorter, contrary to relevant schemes. The overhead duration is less for generating the public-key, data encryption, and decryption phases. &lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;