Reviewerly/exHarmony huggingface dataset:
II International Scientific-practical Conference "Library Development Strategies: from Idea to Implementation", October 6-9, 2020

The development of market relations, competition for investment in science, education and culture, and the aggravation of social and environmental issues call for rapid response to external and internal changes. One of the most effective tools for that response is strategic management methods, which the libraries of different types can implement. The results of implementing strategic management workflow in library activities have quite practical and measurable benefits; they bring about improvement in the quality and efficiency of library products and services. The library products and services placement, sharing experiences and further development require a dialogue between experts, which is implemented within the framework of issue-related scientific and practical activities successfully. One of such event was the International Research and Practice Seminar “Library Development Strategies: From Idea to Implementation”, initiated by H.I. Denysenko Scientific and Technical Library of the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” and Ukrainian Library Association in 2017. The event brought together more than 100 participants from Germany, Poland, Kazakhstan, Belarus and Ukraine and relished the media attention.
Research on Discourse Coherence based on the Analysis Model of Event Chain from the Perspective of Computational Linguistics

With the rapid development of network technology, natural language processing has also entered a boom period. Probability and data-driven methods have been widely used in natural language processing. The need for people to extract and retrieve information from the Internet is also increasing, and more and more researchers are trying to use computers to process content related to discourse coherence. Based on the event chain of the text semantic structure representation, this paper proposes a text semantic structure representation model, on the basis of which, text coherent resources can be used for the task of text semantic analysis. Event chain is a necessary condition for discourse coherence, which can be transformed into a computable event chain analysis problem, and can be further formalized as discourse-oriented partial dependency analysis of sentences.
Research on the Theoretical Model Between Solar-blind UV and Atmospheric Temperature during Atmospheric Transmission

Abstract：In recent years, solar blind ultraviolet detection has been widely used in power fault detection.Based on atmospheric temperature profile and MODTRAN, we conduct simulation analysis on the influence of atmospheric temperature on solar blind ultraviolet atmospheric transmission.And finally the relationship between atmospheric temperature and ultraviolet atmospheric transmission was obtained through wavelength analysis and curve fitting.Based on the simulation relational expression, the quantitative analysis of atmospheric temperature and atmospheric transmission can be carried out, which can promote the study of the characteristics of solar blind ultraviolet transmission in the atmosphere and improve the accuracy of corona detection.
Quality Model based on Playability for the Understandability and Usability Components in Serious Video Games

A serious video game is an easy and practical way to get the player to learn about a complex subject, such as performing integrals, applying first aid, or even getting children to learn to read and write in their native language or another language. Therefore, to develop a serious video game, you must have a guide containing the basic or necessary elements of its software components to be considered. This research presents a quality model to evaluate the playability, taking the attributes of usability and understandability at the level of software components. This model can serve as parameters to measure the quality of the software product of the serious video games before and during its development, providing a margin with the primordial elements that a serious video game must have so that the players reach the desired objective of learning while playing. The experimental results show that 88.045% is obtained concerning for to the quality model proposed for the serious video game used in the test case, margin that can vary according to the needs of the implemented video game.
Perancangan E-Katalog Produk Berbasis Android pada PT Samudera Jaya Benelli Menggunakan Metode User Centered Design (UCD)

Technological developments encourage business actors to be more creative in their competition to provide the best services to their consumers. In the field of motor vehicle sales today, however, brochures are still widely used in introducing their products. In light of this, PT Samudera Jaya Benelli wants to have an android-based e-catalog that contains information on their motorbike products so that it will facilitate the process of delivering information to potential customers who visit the showroom. Additionally, the use of e-catalogs can help the company save on the cost of printing brochures and catalogs, which has been the common practice so far. Furthermore, the development of this e-catalog information system uses the User-Centered Designing (UCD) method. The purpose of using UCD is to produce applications that have high use value, which includes the convenience in the usage, management, and effectiveness of the application, as well as the compatibility of the application to users' needs. Therefore, it is expected that this Android-based (mobile) e-catalog application will be able to increase efficiency and provide convenience in displaying products in the form of a digital catalog that has a modern, complete, and simple appearance
Family Literacy of Baduy Tribe: an Ethnographic Study

The purpose of this ethnographic study was to reveal the family literacy practices of Baduy tribe at Lebak Regency, Banten Province. Family literacy in this paper refers to an intergenerational learning in in Baduy tribe families, which include how family learns, uses reading and writing activities to do daily task, and other literacy activities to maintain family relationship. Family literacy in Baduy is called intergenerational learning in which the learning method that is practiced in families and communities leads to the creation of a process of cultural and educational transformation in a society. This study utilizes ethnographic approach by conducting interviews with sixteen families (father and mother) and eighteen children and youth. Data analysis includes the four stages of ethnographic data analysis, namely domain, taxonomy, component and theme analysis. The results showed that family literacy in the Baduy tribe last a lifetime, starting from children aged 7 days to 10 years. The literacy activities of the Baduy family cannot be separated from the their culture and beliefs. This culture is passed down from generation to generation with an intergenerational learning approach, it is the process of delivering literacy that is practiced directly within the family.
Algorithms for constructing 3d images of objects in problems of underwater robotics

Currently, intensive research is underway to develop remotely controlled and autonomous underwater robots that use technical vision systems. Typical examples of tasks that can be solved using them are: monitoring the environment; detecting objects and obstacles; approaching the robot with an object; performing operations with objects. The article focuses on the problems of constructing images of the working space of an underwater robot designed to perform operations with objects based on information received from a stereo camera. Robust algorithms for constructing 3D images of the robot's workspace based on a perspective camera model and using triangulation and clustering methods are proposed and tested on real data. Image processing algorithms take into account the presence of a waterproof shell.
Explainable and Sparse Representations of Academic Articles for Knowledge Exploration

We focus on a recently deployed system built for summarizing academic articles by concept tagging.The system has shown great coverage and high accuracy of concept identification which could be contributed by the knowledge acquired from millions of publications.Provided with the interpretable concepts and knowledge encoded in a pre-trained neural model, we investigate whether the tagged concepts can be applied to a broader class of applications.We propose transforming the tagged concepts into sparse vectors as representations of academic documents.The effectiveness of the representations is analyzed theoretically by a proposed framework.We also empirically show that the representations can have advantages on academic topic discovery and paper recommendation.On these applications, we reveal that the knowledge encoded in the tagging system can be effectively utilized and can help infer additional features from data with limited information.
Analisis Motivasi Kuliah sambil Bekerja pada Mahasiswa PGSD FKIP Universitas Widya Gama Mahakam Samarinda

This research is done to know the motivation of what is behind the students run a lecture activity that requires science as a form of responsibility as a student and in addition also undergoes work activities that are working on a task to get wages or satisfaction. In this study, researchers used qualitative research with a case study approach, where researchers investigated carefully a program, event, activity, process, or group of individuals. The subject of this study is the students of the PGSD FKIP UWGM from the 2016 to 2019 class who are undergoing college activities while working. To obtain the necessary data in this study conducted various techniques such as observation, interviews, and documentation. Data analysis techniques conducted include data collection, data reduction, data presentation, and conclusion. Research findings show that the motivation of students to run a lecture while working because students ' desire to be independent and change their life for the better, by gaining a high education but they must fight the matter by working so that their needs are the cost of living, tuition fees, and other expenses can be fulfilled without having to ask with parents. And try to balance both activities in order to run well and support each other.
CAPACITIVE COMPLEXITY OF DETERMINING GCD IN THE SHOR S ALGORITHM

The article analyzes the results of finding the period r of the function y = axmodM (a is a random number) which is used in the Shor's factorization algorithm for quantum computers. The module M is the product of two primes p and q. The article analyzes the solutions r obtained for various a, for which the capacitive complexity H of finding the greatest common divisor GCD(ar/2 + 1, M) is the least. A digital quantum computer is a classic processor and its digital quantum coprocessor. A digital quantum coprocessor with hundreds and thousands of digital qubits can be implemented in one programmable logic integrated circuit FPGA. In the Shor’s algorithm, the factorization problem of the number M reduces to the problem of determining the period r of the function y. It is known that GCD(ar/2 + 1, M) can be a divisor of the number M The task of the quantum coprocessor in implementing the Shor’s algorithm is to find the period r. After that it is necessary to find the GCD. Since for random a the problem of finding the period r has many solutions, these solutions can be compared by the value of one of the arguments when finding the GCD - the number ar / 2 . In this case, H = (rlog2a)/2 is taken for analysis. It approximately represents the bit depth of binary codes that a classic computer will have to process when determining the GCD. H can vary over a wide range from tens to thousands of bits even for small values of M. In this research the period r, which ensures the least complexity of the subsequent task of finding the GCD, is most often a solution for a = 3 and a = 2, but it can also occur often with other values of a. To clarify the revealed patterns, especially for large M, it is necessary to conduct additional research.
Query Distillation: BERT-based Distillation for Ensemble Ranking

Recent years have witnessed substantial progress in the development of neural ranking networks, but also an increasingly heavy computational burden due to growing numbers of parameters and the adoption of model ensembles.Knowledge Distillation (KD) is a common solution to balance the effectiveness and efficiency.However, it is not straightforward to apply KD to ranking problems.Ranking Distillation (RD) has been proposed to address this issue, but only shows effectiveness on recommendation tasks.We present a novel two-stage distillation method for ranking problems that allows a smaller student model to be trained while benefitting from the better performance of the teacher model, providing better control of the inference latency and computational burden.We design a novel BERT-based ranking model structure for list-wise ranking to serve as our student model.All ranking candidates are fed to the BERT model simultaneously, such that the self-attention mechanism can enable joint inference to rank the document list.Our experiments confirm the advantages of our method, not just with regard to the inference latency but also in terms of higher-quality rankings compared to the original teacher model.
Recognition System for Libyan Entity Names

Named Entity Recognition (NER) is a computational linguistic concept that is used to find and classify appropriate nouns in a text such as person names, geographical locations, and organizations. Such a concept is fundamental in the field of natural language processing. In Libya, many private and public institutions suffer from using the proper translation of entity names from Arabic language into English. Therefore, in this paper, we are concerned with analyzing Arabic articles to extract and recognize entity names. A recognition system is developed for recognizing names of persons, academic institutions, and cities in Libya. At first, a training corpus and dictionaries are built for the intended entity names in this research. Then, the aspects of the entity names are studied, and their patterns and rules are designed. Then, the implementation is performed using Nooj linguistic language. The recognition of person names and Libyan cities and academic institutions was carried out. Statistics showed the frequencies of the appearance rate of person names, academic institutions, and cities in our training corpus. The obtained results are promised and met the research goals for tackling the problem of Arabic named entity recognition.
A New Efficient Approach Based On Chaotic Map For Image Encryption

The protection and security of data and information have become of paramount importance in the deferential areas including imaging, so it is best to protect them before transmitting them. Today, various types of techniques and methods based on Chaotic Encryption are used to overcome several types of threats. In this paper, we propose a new efficient image encryption system using a new simple function permutation pixels(confusion) of an image and a chaotic generator map, the proposed cryptosystem based on three steps: confusion, shuffling, diffusion. In the confusion step, the pixels of the original image is swapped by a simple permutation function. In the shuffling step, the confusing image is devised over four blocks as each block of pixels of the image is mixed, allowing to give more unpredictability. In the diffusion step, the shuffling image is diffused by combining chaotic sequence generated from the chaotic generator map used. The evaluation parameters used are: Number of Pixel Rate Changes (NPCR), Unified Average Change Intensity (UACI), Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE).
YOUTUBE USAGE PATTERN AMONG COMMUNICATION SCIENCE STUDENTS

This study aims to determine patterns of use of YouTube for communication science students. The pattern referred to here includes the motive and intensity of using Youtube. We have conducted a survey and described the motives for using Youtube by students including cognitive motives and affective motives. We have also calculated the value of these motives and the results show that the cognitive motives of students accessing Youtube are slightly greater than their affective motives
The Mass Media Communicative Situation and the Text Semantics

The article dwells on the notion of a standard communicative situation from the perspective of modern Media communication.The study concludes that the language of Mass Media is highly influenced by nonlinguistic factors (author's and readers' personalities and activities, communication conditions and some others).The attempt to analyze the components of a prototypic communicative situation of printed Mass Media and their interaction is made on the basis of the works of different researchers.
The subconscious processes of the creative life of the actor in the role

Purpose of the article. The research is conditioned by the scientific substantiation and comprehension of the subconscious processes and mechanisms of functioning of the psycho-emotional system of the actor during the performance of the role. The identification of the actor entities that manifest themselves at the level of the subconscious of the actor during the role is not given sufficient attention given the mechanism of their coexistence. Methodology. Methods of analytical and synthetic processing of sources are applied (when studying psychological, special literature on psychophysiology); structural, functional, and typological approaches (when explaining psychological entities and their relationship in the process of acting role). The scientific novelty. The scientific substantiation of subconscious processes and mechanisms of functioning of the psycho-emotional system of the actor during the role is performed for the first time. It is revealed that the process of performing the role and the phenomenon of creating an organic life in it, is due to the psychological state of the split consciousness of the actor on the principle of combining his creative activity with the activity of the character. Conclusions. Given the emotional state of the actor in a creative act outwardly similar to the character of the play, it can be argued that the actor is in the psychological state of the character's activity. His creative activity, as a fact of the external display, is different from his condition, but he functions semi-subconsciously (automatically). This process is twofold because it aims at delimiting thinking on the one hand and finding the actor in a state of experiencing the role on the other. In this regard, the psychological state of the actor in the role can be characterized as "forked". For these reasons, the willful, deliberate act of distinguishing "self" as a subject of creative activity from one's own thought processes in the role may be regarded as a peculiar technique of the psychotechnics.
ENSURING THE QUALITY OF UNIVERSITY EDUCATION IN CONDITIONS OF BLENDED AND DISTANCE LEARNING

In modern conditions of reforming the system of higher education, the introduction of time-based blended and distance learning, the mission of higher education is to ensure the efficiency and quality of university education. Therefore, the problem of using blended and distance learning technologies becomes relevant, which, taking into account the peculiarities of the conduct, should ensure the quality of educational services for students. Blended learning is defined as a hybrid of traditional face-to-face and online learning so that instruction occurs both in the classroom and online, and where the online component becomes a natural extension of traditional classroom learning. The article highlights the peculiarities of the introduction of mixed and distance learning at the university, analyzes and clarifies the essence and content of the concepts of « blended learning», «distance learning», identifies the main approaches, methodical principles underlying the organization of the educational process, the priority tasks and advantages of the introduced forms of education are singled out, the tendencies of their development are outlined, in particular in modern conditions. The methods, organizational forms and means used during blended and distance learning are described, specific examples of their introduction at Kyiv International University are given, as well as the schematic structure of the methodical system of the proposed forms of education that ensure the quality of university education. It is proved that blended and distance learning solves the problems of individualization, intensification and optimization of education, is the most effective evolution of the traditional model of learning7
PRACTICE-FOCUSED TRAINING: POSSIBILITIES, RISKS, SOLUTIONS

The problem of proving the possibility of implementing practice focused training taking into account the risks revealed while introducing WorldSkills (WS) standards at the present stage of professional training is solved. Practice focused training is viewed as an operable educational process forming an ability and readiness to realize practical professional activities on the basis of professional self-identification, knowledge, skills, experience and personality. The methodology of system-activity and competence-context approaches considers the planned outcomes and practical focus of the educational process. Organization and management, organization of educational process, research, staffing and social partnership are considered as the main areas of practice-focused training to decrease possible negative consequences connected with the introduction of WS standards to the educational process.
Factors Affecting Quality Culture: A Case Study of Public Universities in Ho Chi Minh City

This paper aims to determine factors affecting quality culture of public universities in Ho Chi Minh City (HCMC). Besides, this paper is the purpose of policies for enhancing the quality culture of universities in Ho Chi Minh City. The authors used simple random sampling technique. Testing Cronbach's Alpha and confirmatory factor analysis (CFA) and model testing with Structural Equation Model (SEM) analysis. Besides, the study surveyed 400 lecturers and answered 23 questions, but 385 samples were processed. The data collected from June 2020 to October 2020 at public universities in Ho Chi Minh City, Vietnam. Authors calculated and had the findings of the study that have five factors affecting the quality culture of universities in Ho Chi Minh City with significance level 0.01. This result is a vital science document for developing quality culture that concerned in higher education institutions. Each educational institution's development goals are a prerequisite for improving the quality of training, scientific research, and community service, creating a unique identity in the context of educational globalization in the future.
Learning from Non-Binary Constituency Trees via Tensor Decomposition

Processing sentence constituency trees in binarised form is a common and popular approach in literature.However, constituency trees are non-binary by nature.The binarisation procedure changes deeply the structure, furthering constituents that instead are close.In this work, we introduce a new approach to deal with non-binary constituency trees which leverages tensor-based models.In particular, we show how a powerful composition function based on the canonical tensor decomposition can exploit such a rich structure.A key point of our approach is the weight sharing constraint imposed on the factor matrices, which allows limiting the number of model parameters.Finally, we introduce a Tree-LSTM model which takes advantage of this composition function and we experimentally assess its performance on different NLP tasks.