Reviewerly/exHarmony huggingface dataset:
Mapping Psychological Spaces: Psychotherapeutic Applications of System Dynamics in Fuzzy Cognitive Maps of Personal Constructs

This paper presents an innovative procedure for deriving both Fuzzy Cognitive Maps and Behavior Over Time Graphsfrom Personal Construct Psychology’s Repertory Grids, via the intermediate step of eliciting an adaptation of Bipolar Implications Grids. This makes it possible to have a functional as well as structural model of the Personal Construct System and to test and simulate its anticipated dynamics in hypothetical scenarios, as well as to understand more fully its systemic properties. The paper focuses on the procedure itself, and it is illustrated by means of a case study so as to highlight its significant implications for psychotherapy research and practice.
The Structural Modeling of Significant Factors for Sustainable Cloud Migration

Cloud computing is a matured platform to host the information and communication technology (ICT) infrastructure and services.All the top leading companies have made investments in cloud infrastructure including US Department of Defence's contract of USD 10 Billion to Microsoft for cloud migration.Cloud computing helps in conserving the resources and improving the performance of ICT services, hence making the computing more sustainable.Migration to cloud needs careful planning, strong business case, credible migration strategy and robust migration frameworks.This research has reviewed the area of cloud computing migration to identify important factors.The author keywords of 299 research articles downloaded from the web of science database have been analyzed using co-word analysis and resulted in 10 most significant factors in the form of cloud migration tuple.This study applies the interpretive structural modeling (ISM) technique to study the interrelationship on these factors.Application of ISM followed by Matriced' Impacts Croise's Multiplication Appliquée a UN Classement (MICMAC) analysis has categorized these factors into independent and dependent sets.The resultant model demonstrates that organizations need to incorporate the dimensions of service orientation, virtualization, multi utilization, dynamic allocation and mobile support into their data, application and security stacks.Migration of these stacks with sound strategy, policy and frameworks will lead to post-migration performance improvements in a synergistic fashion.The adoption of cloud migration tuple with understanding of interrelationships will help organizations make strategies and plan to migrate to cloud in an efficient manner.
Information Support Of Digital Transformation Of University

The article addresses the issues of digitalization of educational organizations and the development of the concept of a digital university.It determines the need for the formation of the strategic goal of digitalization of university, the formation of a system of sub-goals, as well as the determination of strategic priorities.The article highlights key vectors of digital university development.It describes information-organizational model of a digital university, which includes data-based management systems; digital educational technology; individual educational trajectories; competencies of the digital economy.In this article we assess informational aspects of the description of the model elements.It is concluded that, when functioning, the information-organizational model integrates the digitalization elements of the educational, enlightening, research, managerial, social activities of a university and accelerates the transition of a university from innovative to digital.A system of ten key competencies of a digital university has been formed.The directions of information support for the digital transformation of a university and the development of digital competencies by various categories of users for the development of various groups of digital competencies are highlighted.The necessity of using the services of the University of the National Technology Initiative 2035 in the process of digital transformation of a university is substantiated.The conclusion is drawn on the need for active and passive motivation to increase digital competence, the importance of accounting and reducing online risks when using digital platforms, services, sites.
Adult personality: specifics and psychological mechanisms of development

The specifics and psychological mechanisms of personal development of an adult are highlighted.It is established that the personal development of an adult can be considered in the context of natural changes, quantitative, qualitative and structural transformations of his personality as a subject of activity based on the desire for improvement, personal and spiritual growth, readiness for self-change and selfaffirmation in various spheres of life.It is shown that personal development is a complex process, the progressive or regressive direction of which should occur in the cognitive-affective, conative-regulatory and value-semantic spheres, in each of which there are specific psychological mechanisms.It is shown that the development of an adult's personality is largely determined by his position and his own subjective activity in relation to the direction and possibilities of rapid change in the modern world, human desire for continuous self-improvement and selfdevelopment, preservation and development of spiritual principles.The psychological mechanisms of personal development of an adult in cognitive-affective (social comparison, identification, empathy, etc.), conative-regulatory (self-monitoring, self-verification, self-attribution, self-analysis, etc.) and value-semantic sphere of personal development (self-determination, self-design, self-expression, self-realization, selfactualization, etc.) are determined.It is shown that, depending on the specifics of the manifestation of these mechanisms, it is a question of progress or regress in the personal development of an adult.The latter, in particular, is manifested in the inauthenticity of self-presentation, the formation of a system of stable psychological defenses, and others.The expediency of taking into account these mechanisms in the process of psychological support of personal development of an adult is stated, which Вісник післядипломної освіти.Випуск 15(44) «Серія «Соціальні та поведінкові науки» (психологічні 053, державне управління 281) (Категорія «Б»)
Fourth Semester Students’ Reading Comprehension Ability in Narrative Text Using Online Sources of FKIP Unilak

Reading comprehension can be done using online sources such as internet, Narrative text can be easily obtained by students on various internet sites in the form of links that are already available. The purpose of this study was to determine the reading comprehension ability of fourth semester students of English Education Department of Universitas Lancang Kuning in narrative texts. This research is descriptive quantitative using online sources. This study used total sampling technique with 70 students who are divided into 3 classes in the English Education Department. Based on results of data analysis, it was found that the students of English Education Department had medium (10.00) ability to comprehend narrative texts. This is indicated by the fact that 24 (34.3%) of students have medium ability to comprehend narrative texts. 29 (41.4%) of students had low ability in scanning the text and mentioning the orientation. 29 (41.4%) of students had low ability in mentioning the complication of the text. 25 (35.7%) of students had low ability in determining and mentioning resolution of the text. 38 (54.3%) of students had medium ability in skimming and determining generic structure, language features, social functions of the text. So, it can be concluded that the fourth semester students’ reading comprehension ability in narrative texts was in medium category with the percentage 54.3%.
Generalization of the Einstein coefficients and rate equations under the quantum Rabi oscillation

We have generalized Einstein coefficients and rate equations from quantum field theoretic point of view by bringing the fundamental processes and the quantum Rabi oscillation in a single footing for the light-matter interactions for nonzero Rabi frequency. We have analytically obtained multimode Jaynes-Cummings model results for the quantum Rabi oscillations of a two-level system in a lossy resonant cavity containing (i) thermal photons and (ii) injected photons of a coherent field. We have renormalized the coupling constant for the light-matter interactions for these cases. Our results match well with the seminal experimental data obtained in this regard by Brune et al [Phys. Rev. Lett 76, 1800 (1996)]. We also have studied the population dynamics in this regard by applying the generalized Einstein rate equations.
Lemming – Example-based Mimicking of Knowledge Graphs

The size of knowledge graphs used in real applications grows constantly. Predicting the performance of storage solutions for knowledge graphs w.r.t. their query performance is hence of central performance for the practical use of said storage solutions. We address this challenge by learning graph invariants of a given graph. We then use these invariants to fuel a stochastic generation model that is able to generate graphs of arbitrary sizes similar to the input graph. We evaluate our graph generator, dubbed Lemming, by comparing the performance of storage solutions on synthetic and real versions of three datasets of up to 3.4 ×10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">6</sup> triples. Our results suggest that the performance of storage solutions on synthetic data generated by Lemming reflects their performance on real data in most of the cases. The source code of Lemming is available at https://github.com/dice-group/Lemming.
Reviewing Hate Speech in Indonesian Social Media Content: Gender and Discourse Perspectives

The increased conflicts and online propaganda on social media recently have raised the negative impacts on the society such as violence and conflicts. This article mainly reviews the hate speech in Indonesian social media content viewed from the gender and discourse perspectives. Further, it explores the importance of using the language of peace on social media such as you tube, Twitter, Facebook, Instagram and so on as an effort to prevent the potential for conflicts. This study uses a descriptive qualitative method to describe the phenomenon of the use of hate speech and propaganda in social media. The writer collected data from a number of quotes and writing on social media particularly Facebook and Instagram containing hate speech, threats, propaganda, and incitement leading to negative reactions of the society. The result shows that women may have more preference dealing with physical appearance issues to political ones. This can be seen clearly through the comments stated by women in social media particularly Facebook. Meanwhile, men tend to have preferences on commenting political issues in social media to physical appearance. Furthermore, they dare to take a risk and power in relation with political issues. Thus, the users of social media both men and women are encouraged to be wise in using social media that can be achieved by using the language of peace to prevent the potential for online conflicts among the society.
Mixed Method: Students’ Ability in Applying Writing Mechanics in Analytical Exposition Text

Based on the English syllabus of SMA Serirama YLPI Pekanbaru, the students should be able to write in English by paying attention to the linguistics elements. One of them is the use of writing mechanics. This study aimed at investigating students’ ability in applying writing mechanics in Analytical Exposition texts and explained the factors that influence students’ ability in applying writing mechanics in the eleventh grade of SMA Serirama YLPI Pekanbaru. The design of this research was mixed method. The population of this research was all the eleventh grade students of SMA Serirama YLPI Pekanbaru with total of 41 students. Sampling technique used in this research was total sampling. The instruments used were test and interview. Based on the result of the test, the average score of students’ ability in applying writing mechanics in an Analytical Exposition text was 71,56. Moreover, based on the interview result, the factors that influence the students’ ability in applying writing mechanics were the students lack of motivation to open dictionary to find the correct spelling of words, the difference between the pronunciation and written of words make students confused, and lack of student knowledge about writing mechanics. In conclusion, the students’ ability in applying writing mechanics in an Analytical Exposition text at the eleventh grade of SMA Serirama YLPI Pekanbaru is categorized into fair level caused by several factors.&#x0D;
THE STRUCTURES OF ADJACENCY PAIRS OF FKIP UHN STUDENTS’ IN ENGLISH CONVERSATION

This study is aimed to investigate the structures of adjacency pairs in English conversation conducted by the students of faculty of teacher training and education (Fakultas Keguruan dan Ilmu Pendidikan/FKIP) at Universitas HKBP Nommensen (UHN). The subjects for conducting the SPP of Adjacency Pairs are ten, and for the FPP is one student. For turn-taking the subjects are fifteen students. The researchers apply a descriptive qualitative design in this study. The researchers observe what involved in the interaction, when, where, and how people interact based on Conversation Analysis (CA) approach. Because CA needs naturally occurring data, the researchers take the location of research outside classroom. The conversation outside classroom enacts an informal talk as what this research is about. The location outside classroom can be at the canteen, and benches around the campus. The results of the study found that there were ten structure of adjacency pair and turn-taking, they were: 1) The student’s sequence of greeting-greeting is that the FPP is greeting and the FPP is greeting; 2) The construction of the students’ APs in question-answer is : a) a question – answer, a question - a question; 3) The structure of compliment AP in student’s conversation can be constructed as : a compliment - rejection, a compliment - a rejection in SPP (scaling down); 4) Offer-acceptance is composed : an offer of goods in FPP and an acceptance in SPP and an offer of service in FPP and an acceptance in SPP; 5) Invitation in student’s conversation contains inserted sequence the acceptance response; 6) Current speaker selects next (CSSN) in student’s conversation can be realized in two participants conversation like in all data in adjacency pair; 7) The CSSN allocation techniques is not always applicable in students’ conversation; 8) Self-select (SS) in students’ conversation is done as what is effective in English, but it is constrained by an overlapping talk; 9) Speaker continuation (SC) is shown by a long silence. The silence implies the development of topic or topic change. Last but not least, the researchers conclude that knowing the structure of adjacency pairs in conversation can help the speakers and listener to avoid and cope with all problems in speaking.
SPATIAL ANALYSIS OF TUBERCULOSIS, POPULATION AND HOUSING DENSITY IN YOGYAKARTA CITY 2017-2018

Background: Tuberculosis (TB) is an infectious disease that becomes a health problem globally, including in Indonesia. Yogyakarta City is a district that struggle with TB; from 2017-2018, there was an increase of TB case in this city. There was limited evidence concerning TB and its possible risk factors among TB case 2017-2018, mainly using GIS in Yogyakarta.Methods: This study used an ecological study design to determine the correlation between population and housing density with TB incidence in Yogyakarta City in 2017-2018. Secondary data was obtained from the Yogyakarta City Health Profile 2018-2019. Â Spearman rank correlation test and spatial analysis using Quantum GIS software were employed to analyse the data.Results: There was a relationship between TB and population density variables (p-value = 0.034; R = -0.568) and housing density (p-value = 0.012; R = -0.625) in Yogyakarta, 2017-2018.Conclusions: This study indicates that the density of housings and population affect the prevalence of Tuberculosis.
The Impact of Neural Network Techniques in the Optimization of the Image Processing

Nowadays, image processing is widely utilized in many applications and for various purposes. Scholars proposed and suggested various techniques of image processing. The neural network is one of the main processing techniques, which is a state-of-art method. This paper aims to investigate neural network techniques in the field of image processing. Moreover, medical imaging, as well as increasing trends of utilizing digital medical imaging, has gained huge attention in the health sectors. In this regard, this paper focuses on the effect of neural networks in optimizing medical image processing. In this context, the early diagnosis and detection of the eye have an important role in the avoidance of visual impairment, because of the fact that around 45 million people have visual impairments all over the world, according to the World Health Organization. For this reason, the current paper introduces a new method based on image processing for vascular segmentation based on a morphological active contour. Then, segmentation carried out based on morphological operations, fuzzy c-means, and watershed transform. The output of such segmentation methods was given to conventional neural network. The optimized feature values are then extracted. The threshold value is set to compare these optimized feature values. From this, the best segmentation methods will be obtained.
Cervical Cancer Cell Prediction using Machine Learning Classification Algorithms

In cancer identification, extrapolation of cervical cancer in patients shows a vital role.To save people from the cancer field of cancer detection, machine learning can play a big role in saving lives.In this paper, to make the detection process a portion faster and accurate machine learning techniques such as Decision Stump, C4.5 and Averaged One Dependence Estimators (AODE) for novel NCBI cervical cancer data set are made.Classification and Regression Tree (CART) is a simple decision tree algorithm that is used to create a decision tree of a given set.Here, a top-down Greedy search is used in order to check each attribute at every tree node.For building a Decision Stump algorithm, a decision tree which consists of nodes and an arc that connects nodes with the Entropy concept is used.The extension of the basic Decision Stump algorithm is the C4.5 algorithm on selecting the optimal split it recursively visits each decision node.The process gets continued until there is no further split is possible.In this way, the prediction is possible for the given data set.Bayesian methods are those that explicitly apply Bayes' Theorem for problems such as classification algorithms acts as a quick method for the creation of a statistical predictive model.AODE are based on the Bayesian theorem which is commonly used to solve prediction problems for ease usage in the medical field.In this research Decision Stump, C4.5, and AODE are implemented with help of the training set.The basic designs are used to predict whether a feminine is having cervical cancer or not.
Long Distance Learning, Challenges And Opportunities

The spread of the Covid-19 pandemic has caused disruption to Indonesia's education sector where approximately 45 million students are unable to continue their learning activities in school. One solution is Long Distance Learning, this study aims to find out (1) the long distance remote learning system applied, (2) the impact of the Long Distance Learning system on student achievement, (3) obstacles in the application of Long Distance Learning system. The research method used in this study is qualitative method with descriptive research type qualitative approach. The results of this study show that the implementation of Long Distance Learning still has many obstacles such as inadequate equipment and poor internet connection, in addition to the increase in learning success is still small and ineffective
Methods for development of creative expression of college students in music composition

The development of a person's creative self-realization is one of the main guidelines for the modernization of the modern Russian education system. However, an analysis of the content of curricula, programs, the state of the modern practice of teaching students of colleges of culture and arts enrolled in specialties related to musical art, indicates a lack of attention of teachers to the problem of creative self-realization of students. Mastering by students of musical and compositional activity can contribute to their successful mastery of the means of musical expression, finding their own methods of creative self-realization. The author of the article concludes that the process of development of creative self-realization among students of colleges of culture and arts in musical-compositional activity is a gradual transition from self-knowledge and self-assessment by students of their capabilities in the implementation of this activity, through the formation of their skills and abilities of musical improvisation, composing music, developing motivation for self-development, developing creativity, for self-assertion of students and self-assessment of the results of musical and compositional activity. The article presents a methodology for the development of creative self-realization of students of colleges of culture and arts in musical and compositional activities, including: forms of education - small-group, individual and practical classes; forms of extracurricular activities - a music room, a music lecture hall, a creative workshop; teaching methods - observation of music, research, brainstorming, author's introspection, associative, portfolio; techniques - explanations of one's own actions, feedback, reflection; methods and techniques of creative work - combination, transformation, sketch work.
If-conditional sentences across Asian Englishes

This study explored the syntactic and semantic analysis of if-conditional sentences in the International Corpus of English (ICE). Using the three corpora of Asian varieties of English such as ICE-PHI (PhilE), ICE-HK (HKE), and ICE-SING (SingE) that have 6,375 if-conditional sentences in total, structural analysis of the corpus revealed that the simple present verb in both conditional and main clauses was the most frequent verb combination in spoken and written PhilE and SingE while simple present and modal + verb were found to be the most widely used in HKE. Moreover, PhilE had the most number of open conditionals and the least attestation of hypothetical conditionals in written and spoken data. Conversely, in all the genres of the corpus, HKE conveyed much more hypothetical conditionals than open conditionals. These data indicate that the verb combinations and semantic categories of conditional sentences used in these Asian countries may vary; hence, a shift in pedagogical orientation and classroom practices should be contextualized for different groups of English language learners. Further, directions for future research were provided.