Reviewerly/exHarmony huggingface dataset:
Methodology Of The Formation Of Reflective Skills In Educators

Reflection helps optimize and minimize "mistakes" during pedagogical activity; having developed and reflected certain effective methods of teaching, educators do not make the same mistakes and as a result, they break the vicious circle of problems. This enhances professional and creative growth, and the comfort zone at work expands. Reflective abilities allow educators not only to theorize the problem solution, but also to act based on "personal constructs" of behavior. Any educator has a peculiar style of pedagogical activity, and having passed through reflection it becomes unique and authorial. Educators can share these developments with colleagues or forward to students. Self-knowledge takes place throughout our lives, and in our opinion, it is the driving force of human life and development. A child is born, and from the first months he starts to perceive himself in the world through sensations, feelings, observations, tactile interactions with parents and the environment. This process is everlasting, and if it stops, a person degrades. Paraphrasing an ancient saying "Know yourself," we say, "Know yourself and you will know the Cosmos," and reflection is one of the simplest and most widely available means of this process. Therefore, it is not exaggeration to say that the study of this issue is of paramount importance, for both society and science, and personally significant and important for everyone. The knowledge of the Truth, the essence of phenomena, processes and others is impossible without passing through the reflective phase of crystallization of knowledge and experience
R Data Curation Primer

This work was created as part of the Data Curation Network “Specialized Data Curation” Workshop #2 held at Johns Hopkins University April 17-18, 2019.
Екслібриси Ірини Колядиної – яскрава сторінка в мистецькому житті України

The purpose of the article is to introduce to the scientific community and to open for scientific research a new personality, a local bookplate artist Iryna Koliadyna, whose numerous works have represented the national graphic art at the International Biennial of Ex libris since Ukraine became an independent state. The research methodology has been determined by the system and analytical approach, which allowed classifying 475 bookplates into four ways. Based on the chronological analysis the general tendency of the development of the author’s print in the modern ex libris art has been revealed. The technological stages of author’s bookplates employment have been systematized and classified. The scientific novelty of the research. The work represents the first analytical study of the creative development of Iryna Koliadyna – a modern woman-artist, a master of a special genre of artistic graphic arts. In the creative work of the artist, among the numerous story and personalized miniature bookplates, there are commemorative ex librises dedicated to outstanding figures like T. Shevchenko, L. Ukrainka, H. Skovoroda, M. Makarenko, I. Kavaleridze, M. Kotliarevska, M. Čiurlionis, A. Brazinskas, and others, that hold a special place. The greatest number of ex-libris dedications were made in honour of the Ukrainian writer and artist Taras Shevchenko. More than one hundred service bookplates are dedicated to the cultural and public institutions of the countries where the International Biennial of Ex libris and Small Graphics took place. They are Ukraine, Poland, Lithuania, Bulgaria, Turkey, Norway, etc. Conclusions. In the retrospective of the artist’s work, three technological stages of the bookplate development are clearly outlined: lino printing (1975–2000), polytechnologic (2001–2010), and computer-based (2011–2019). The artist’s tremendous contribution to the development of Ukrainian graphic art and the promotion of the bookplates at numerous International Biennale of Ex libris has been proved.
Performance Analysis of Imputation Approaches with Noise Filtration on Medical Data

Accuracy of any prediction model on the data set which is having large number of missing values is always a challenging problem. The popular technique in order to handle missing values is known as case deletion in which we simply delete the missing instances. Many hybrid models have either used some default way to fill the missing values or case deletion. Concept Most Common (CMC) method has proved best imputation technique in case of Hepatitis data set and Case deletion has performed best in case of Wisconsin Breast Cancer Data, according to literature. The effectiveness of this missing value imputation is heavily dependent on the observed data (or complete data) and that data too contains many imperfections like noise, redundancies etc. So, the objective of this paper is to investigate the effect of performing noise filtration on the imputation task. Specifically, two different procedures for combining instance selection and missing value imputation are proposed and are compared on the basis of their classification accuracy. The results obtained are promising and superior to the recently proposed methods.
DEEPEYE: A Deeply Tensor-Compressed Neural Network Hardware Accelerator: Invited Paper

Video detection and classification constantly involve high dimensional data that requires a deep neural network (DNN) with huge number of parameters. It is thereby quite challenging to develop a DNN video comprehension at terminal devices. In this paper, we introduce a deeply tensor compressed video comprehension neural network called DEEPEYE for inference at terminal devices. Instead of building a Long Short-Term Memory (LSTM) network directly from raw video data, we build a LSTM-based spatio-temporal model from tensorized time-series features for object detection and action recognition. Moreover, a deep compression is achieved by tensor decomposition and trained quantization of the time-series feature-based spatio-temporal model. We have implemented DEEPEYE on an ARM-core based IOT board with only 2.4W power consumption. Using the video datasets MOMENTS and UCF11 as benchmarks, DEEPEYE achieves a 228.1× model compression with only 0.47% mAP deduction; as well as 15k× parameter reduction yet 16.27% accuracy improvement.
THE LIBRARY IS A MULTI-VECTOR NAVIGATOR IN THE SOCIAL-COMMUNICATION SPACE OF THE INSTITUTION OF HIGHER EDUCATION

The article reflects the use of information and communication technologies for the effective implementation of the tasks of the library of a modern higher educational institution. The emphasis is on the social and communicative aspect of the university library. The main directions of harmonization of the use ofsocial and communication technologies in the library user system are shown. The specifics and communication capabilities of the library are revealed in the context of widespread use of social networking tools. The experience of the library of Vinnitsa Pedagogical University is presented. The importance of the scientific activity of the library, the need to increase the presence of Ukrainian science in the global scientific information space and strengthen its influence in the world, the importance of studying the results of the implementation of innovative communication initiatives, the use of scientific methods of analysis, synthesis, analogy, comparison, forecasting are shown. Also shown is the relevance of the development of information and library services for research and development, improving the ranking of the university. The library provides effective information support for professional self-education, selfeducation and self-development. Innovative changes in the library are based on the project, personnel management, initiative activities of library staff and support from the administration and the rector. Particular attention is paid to the importance of mass events in the social and communication space of the university and the library, the introduction of new forms and methods of mass library activities, the expansion of partnerships and cooperation with various organizations, libraries, scientific and educational institutions.
Hablemos de Paenza

Solutions to the problems raised in the previous article. Strategies for solving problems of information organization, trial and error, systematic search and simplification, double entry tables or diagrams. We make a semblance of Adrian Paenza, his publications and showing, with pedagogical quotes and reflections extracted from his books.
Co-Occurrence Estimation from Aggregated Data with Auxiliary Information

Complete co-occurrence data are unavailable in many applications, including purchase records and medical histories, because of their high cost or privacy protection. Even with such applications, aggregated data would be available, such as the number of purchasers for each item and the number of patients with each disease. We propose a method for estimating the co-occurrence of items from aggregated data with auxiliary information. For auxiliary information, we use item features that describe the characteristics of each item. Although many methods have been proposed for estimating the co-occurrence given aggregated data, no existing method can use auxiliary information. We also use records of a small number of users. With our proposed method, we introduce latent co-occurrence variables that represent the amount of co-occurrence for each pair of items. We model a probabilistic generative process of the latent co-occurrence variables by a multinomial distribution with Dirichlet priors. The parameters of the Dirichlet priors are parameterized with neural networks that take the auxiliary information as input, where neural networks are shared across different item pairs. The shared neural networks enable us to learn unknown relationships between auxiliary information and co-occurrence using the data of multiple items. The latent co-occurrence variables and the neural network parameters are estimated by maximizing the sum of the likelihood of the latent co-occurrence variables and the likelihood of the small records. We demonstrate the effectiveness of our proposed method using user-item rating datasets.
The Role of the Subject “Mathematics” Content in the Learning Motivation

The future of any country depends on the quality of education, in particular, mathematics. This paper represents an investigation of the possibilities of using motivation, which is one of the main conditions for improving the quality of teaching mathematics. Educational motivation, as a particular type of motivation, is determined by many factors: the educational system, the organization of the learning process, the subjective characteristics of a student and teacher. In our opinion, the factor associated with the very specificity of the subject matter “mathematics” remains insufficiently studied. Experience has shown that practice teachers and beginning teachers underestimate the role of motivation in teaching mathematics. They unconsciously or quite consciously skip the stage of motivation when introducing mathematical concepts, studying theorems, etc., not seeing the potential of the subject matter for the implementation of motivation. The purpose of the study is to identify the capabilities of the subject matter “mathematics” in the implementation of motivation, as well as the pedagogical conditions for preparing future teachers for its implementation. The research methods for this problem are the theoretical analysis of the knowledge of this issue, questionnaires, overt observation. The study showed that students and beginning teachers knowing the general techniques and methods of motivation do not see the potential possibilities of the subject of mathematics and specific topics for its implementation. At the same time, we have established that motivation can be carried out at any stage of training: by introducing mathematical concepts, algorithms, studying methods of action, methods for solving problems and theorems. Improving the training of future mathematics teachers is associated with the development of mathematical, pedagogical and methodological thinking of students, allowing motivation to introduce to study mathematics as a subject. To do this, in the classes on the teaching methodology, it is worth to purposefully teach the methods of motivation for educational activity in all substantive lines of the school course in mathematics to supplement the training content with courses on the choice of “Methods of student motivation,” “The role of motivation in teaching mathematics,” “Motivation for learning through the content of the subject.
Measuring lexical co-occurrence statistics against a part-of-speech baseline

Analysing strength of lexical co-occurrence using Mutual Information (MI) and Pearson’s chi-square test is standard in corpus linguistics; typically, such analyses are conducted using a statistical baseline of all tokens in the data set (cf. Manning & Schuetze 1999). That is, the probability of a given type or lemma is measured as the number of occurrences of that type or lemma against the total number of tokens in the data. This baseline, however, is not ideal as a measure of linguistic probability: the denominator representing all tokens is artificially high because each token does not represent an opportunity for the given lemma to occur (cf. Wallis 2012). This high denominator in turn results in an artificially low probability and suggests an artificially high degree of confidence in the measurement. This paper reports an experiment in employing a grammatical part of speech (POS) baseline for calculating statistical probability of co-occurrence, asking: In what ways does a POS-baseline differ from a traditional baseline of all tokens, when calculating chi-square and MI? The experiment is conducted in the context of a major research project studying meaning through lexical co-occurrence in Early Modern English texts, and the data is drawn from Early English Books Online (Text Creation Partnership edition). I demonstrate that the traditional baseline of all tokens yields higher MI values and more ‘significant’ results than a POS-baseline. I argue that the traditional baseline of all tokens can be interpreted as yielding artificially high MI values; and as yielding an artificially high number of significant results – but I also illustrate that the improvements of the POS-baseline may be negligible for the typical task of ranking the top ten co-occurrence pairs for a given node word.
Research Guides: Virtual Reality at PUL: Home

Virtual reality (VR) is a realistic and immersive simulation of a virtual environment, experienced through interactive software and hardware. VR technology is available to the Princeton University community at the Stokes Library in Wallace Hall.
Handwritten Pattern Recognition System Using Artificial Neural Network

Artificial Intelligence is proving to be vital in the 21st century. Difficult tasks are being performed with the help of many applications. But the areas like computer vision lacks accuracy to recognize patterns and letters. The accuracy to recognize handwritten pattern is still less than the expectation. Handwritten digit recognition has been a major problem in the computer vision. Present algorithms are inaccurate to make it a perfect smart system. This is an important field because of many day-to-day life applications where large number of documents with handwritten digits should be entered and converted into text form such as bank cheque analysis, insurance paper analysis and other handwritten forms etc. So, our main aim is to develop a system program which can tackle with handwritten digits and letters and makes it easy to read by the computer system. We are going to use Machine Learning algorithm such as Backpropagation Neural Network Algorithm to build a system which can deal with the problem of computer vision with higher accuracy. Additionally, we are going to implement Multiplier Feed Formal Neural Network and Support Vector Machine algorithms to recognize various other patterns. In order to achieve 98% accuracy, we are going to focus on different Image processing techniques also. Large number of handwritten datasets will be used to train our system. After that, our trained system will be able to understand unknown complex handwritten patterns.
SIMBOLISASI DALAM NOVEL SANG ALKEMIS KARYA PAULO QUELHO

The research aims to uncover the symbols in the novel The Alchemist and to gain knowledge about the moral teachings in the symbol. This research is descriptive qualitative approach. Data sources in this study are words, phrases or sentences in the novel Alchemist. Data collection method is a literature study method with note taking technique. Data were analyzed using description and content analysis methods. The results showed that the novel The Alchemist contained many symbols. These symbols include: (1) wise parents, who symbolize both negative and positive things. From his appearance, parents can symbolize something bad, but behind his old age he symbolizes a knowledge that is very much and wise; (2) stones that symbolize something hard, not easily broken, and can provide clues to something; and (3) deserts or deserts which can be interpreted as symbols of drought, aridity, unattractiveness, emptiness, despair, determination for ignorance, and also as symbols of devotion.
A Material Development of Speech Act as its Contribution For a Vocational High School English Handbook at an Eleven Grade

Theis research has a prominet goal, idenitfying types of speech acts uttered by an English teacher at a vocational high school. This work uses Searle’s theory to discover the dominant kinds of speech act employed by the teacher. The researchers also investigated the additional utterances in showing learning movement. The research methodology is descriptive-qualitative research, where the researcher found three kinds of speech act uttered by the teacher; directive, representative, and expressive. The researchers calculated the data finding and found 297 utterances which comprised of 246 directives utterances or 82,83% of overall data, 45 representative utterances or represented the 15.15% of data, and 6 expressive utterances which covered 2,02%. The most obtrusive was directive speech acts (82.83%) and the less frequent was expressive speech act (2.02%). The most obtrusive was directive speech acts because the teacher often used directives (questioning) to handle the students in the classroom and made sure that the students understand the aims of the English material.
Visualizing rich corpus data using virtual reality

We demonstrate an approach that utilizes immersive virtual reality (VR) to explore and interact with corpus linguistics data. Our case study focuses on the language identification parameter in the ...
Determinants of Innovative Success: A study of Small to Medium Enterprises in Oromia Zone Surrounding Finfinne

The main purpose of this study is to investigate the determinants of innovative success of small to medium enterprises in Ethiopia. A qualitative research approach was employed in the investigation. Instruments used to collect data were semi-structured interviews. Accordingly, through face-to-face interviews with 49 owners/managers of small to medium enterprises data were collected. With this study, many determinant factors of product innovative success were identified. However, the three strategic types; namely entrepreneurial orientation, market information processing and network ties were identified as the highly important while experience of workers and education levels of owners/managers of small firms were also mentioned as other factors. Also, the importance of market information utilization and network ties with other enterprises have been great but contributions of the so-called technology-issuing information channels were not significantly used by many enterprises. But, until now, the market information was not as much formally acquired and utilized by many small firms to produce a planning, competitor analysis, internal analysis and for product innovation. Therefore, recommend as all the information together should be used to produce a new product that help for product innovation success.
Meaning and Semantic Roles in CzEngClass Lexicon

Abstract This paper focuses on Semantic Roles, an important component of studies in lexical semantics, as they are captured as part of a bilingual (Czech-English) synonym lexicon called CzEngClass. This lexicon builds upon the existing valency lexicons included within the framework of the annotation of the various Prague Dependency Treebanks. The present analysis of Semantic Roles is being approached from the Functional Generative Description point of view and supported by the textual evidence taken specifically from the Prague Czech-English Dependency Treebank.
A Line-trace Robot for the Practice of Creative Challenge of Robotics

In this paper, a line-trace robot is described. This robot is applied for robot contest in the practicum class of creative challenge of robotics in department of robotics. Rules of the robot contest and lecture contents are confirmed by making this robot.
ETHICAL PRINCIPLES UNDER THE PSYCHOLOGICAL CULTURE OF THE STUDENT AND THE TEACHER HIGHER EDUCATIONAL INSTITUTION

The ethically enriched environment in an educational institution involves following the moral and legal norms of behavior by students, scientific and pedagogical workers in interpersonal relationships, and in relations with the surrounding world, the normalization of the rules of conduct. In this context, the increase of psychological culture manifests itself both at the social level and at the individual personal level, and includes: understanding of oneself as a person, awareness of his place among people, the formation of reflection skills, taking into account the needs and interests of others, solving problems in a constructive way, following cultural norms. The subject of our study was the problem of the introduction of ethical principles in the educational process in a higher educational institution in order to increase the standards of psychological culture of students and teachers, psychologization of training in terms of studying the disciplines of the humanities cycle in various specialties. Such social aspirations were declared in the Code of Ethics of the student and teacher of the Odessa Institute of the Interregional Academy of Personnel Management. The purpose of this code is to establish in the educational activity of a student and a scientific and pedagogical worker of moral and ethical values and norms on the principles of humanity, tolerance, respect for the dignity of each person, academic integrity, confidentiality, trust, activity, cooperation, courtesy and responsibility. Subsequently, students and teachers of the institute passed a special training on the use of ethical behavior skills in educational activities. Teaching subjects of the humanitarian cycle, enriched with the ethical principles of the educational institution, showed an increase in the level of student activity in independent work on the subject, promotion of active employment of students in public life institute. To the psychological and pedagogical influences during training and social interaction of students and teachers, in turn, on the individual level of the student’s personality contributed to raising the level of their self-development, self-regulation, self-determination, self-actualization — the main components of psychological culture. Further research requires the question of psychological diagnosis and correction of the psychological culture of the individual, as well as the improvement of the skills of teachers in problem courses.