Reviewerly/exHarmony huggingface dataset:
LIBRARIES OF INSTITUTIONS OF HIGHER EDUCATION: MODERN CHALLENGES

Library activities of the second decade of the 21st century has transformational changes, since libraries need to be competitive in the media world. The enormous internet-based data stream, as well as the variety of social networks, mobile applications, etc., encourage libraries to use an individual directed approach.The purpose of the article is to highlight the results of the analysis of the activity of university libraries of Ukraine in 2018. During the research were used a systematic approach and a statistical method in order to establish the role of libraries and their place in the scientific environment. Attention is drawn to the innovative areas of work of university libraries of Ukraine, which correspond to the status of libraries as the informational intermediaries and the growing necessity to include scientific researches into the process and to highlight the scientific status both lecturers and universities.The object of the research is the information-analytical direction of the libraries activity.The subject of the research is information and analytical products prepared by libraries.The Scientific and Methodological Department of the Scientific Library named after A.G. M. Maximovich of Taras Shevchenko National University of Kyiv as the focal point of the work of the university libraries conducted and then analysed the results of the questionnaire.The analytical data presented in tables. The first table shows the downward trend (for 3 years of research) in the library fund, the number of library cards, reading rooms, and the number of library staff. In spite of this, the number of visitors increased (9305), mainly at the expense of academic staff, but not students. The second table summarizes the research of libraries in scientometric databases to track the citation of articles in scientific journals and identify the impact of a scientist, periodical, or institution. The topical issue for modern libraries is the support for institutional repositories of university, whose archives are constantly and rapidly increasing, thus the demand increasing (the number of complaints has exceeded 29 million, and this is only for 2018).The conclusions about the specificity of the innovative solutions of libraries are made, which allow broadening the scope of activity of the library as a cultural educational and information center.The outlook of the research is to further study and improve the methodological vector of the coordination center, which allows deepening the understanding of the necessity of the reformation the directions of work of the particular libraries and the university network in general.
Students of Chinese Language Major and Their Attitude Towards the Current Learning Study in Vietnam

Chinese language has recently grown so rapidly that people compared it to a storm overflowing into Vietnam. Thus, education managers and teachers can only respond promptly by immediate emergency measures, but have not found measures for stable development. The learning situation therefore also becomes chaotic and the quality does not meet social requirements.This article aims to analyze the current situation of Vietnamese students studying Chinese language by applying methods of current situation survey by questionnaires, observations in actuality and document research. Through this, the author figure out the true situation of learning attitude and student’s assessment of their schools’ quality of teaching. Results of the research will help teachers to better adjust their teaching methods, and help educational managers have more effective education policies.
Ecological Consciousness Of Modern Young People: Current Trends

The article is devoted to research of actual tendencies of ecological consciousness formation among modern young people in the context of ecologization of the main social spheres. The theoretical basis for this study is the contrast between the ideas of anthropocentrism and bioecocentrism. Anthropocentrism as a mindset reflects the orientation of a person to the conquest of nature. Bioecocentrism as a mindset emphasizes the value of life itself and contributes to the greening of consciousness. Representatives of scientific and ecological schools believe that the development of ecological consciousness will help to overcome the ecological crisis. Bioecocentrism can become the basis of life practices aimed at harmonizing the relationship between man and nature. These attitudes turn out to be expressed in the form of images of human attitude to nature and life strategies in the environmental sphere. The empirical basis of the study is the results of a questionnaire survey conducted among student young people. The article analyzes the selection of statements reflecting anthropocentric and bioecocentric mindset of modern young people. The study explores the selection of particular practices of the ecological way of life of modern young people, household attitudes that are ecologically important and indicate a certain ecological consciousness. The conducted research confirms the tendency of transition to the position of bioecocentrism, reveals the contradictions and emerging nature of ecological consciousness of modern youth. The article provides the prospects of studying the ecological consciousness of young people in the conditions of determining the further strategy of human development.
DIY Anthropology: Disciplinary knowledge in crisis

This is an account of the transformations in our anthropological practice derived from working in the many interstitial spaces that opened up in the wake of the recent Spanish economic crisis. Ambulating in void spaces of Madrid and Barcelona, our anthropological practice was there re-built in ways that blurred our disciplinary boundaries. What there emerged was anthropology not as a disciplinary field, but as a field of experimental collaborations. A practice that re-learnt its ways treating counterparts as true epistemic partners, and setting up distinct ambiances of care with them: not only to care for one another in situations of great difficulty, but mostly to care for our different forms of inquiry, addressing the very situations we were under. An anthropology done together with others, assembling from scratch a conceptual body, caring for the mundane issues that are very often forgotten and rendered invisible by disciplinary fields: A DIY anthropology?
The Introduction of a Thin-bending Wood Horn Speaker as Multipurpose Teaching Material in Japanese Junior High School Technology Classes

As a case study of the introduction of efficient and effective teaching materials and methods that enhance students' technological literacy in different areas despite the relative lack of classroom hours devoted to technology education in Japanese junior high schools, a front-loaded horn speaker system was proposed as a component of multipurpose teaching materials and methods integrating several areas. Following the development of teaching materials and lesson plans, their effectiveness was evaluated through implementation. Acoustic measurements showed that the horn speaker provided high efficiency in the midrange. Moreover, the results of a post-lesson questionnaire administered to junior high school indicated that the speaker system was highly effective as teaching material. It was therefore concluded that the new design enhanced not only student interest but also their technological literacy, as they demonstrated an understanding of the acoustic mechanism and high satisfaction with their final products.
Bernardo Autonomous Emotional Agents Increase Perception of VR Stimuli

Video games are high emotional vectors. They play with the emotions of players by eliciting and increasing them. The importance of the induction of basic emotions has been a long forestay and is favoured by video game publishers, as they are quite easily mobilized. Video game publishers look to produce more complex social emotions like empathy, and compassion. In games framework with narrative context, designers frequently use cinema movies methods, like cinematic non-interactive Cutscenes. These methods temporarily exclude the player from interactivity to leave his first viewpoint view and move the camera focusing on the narrative stimuli. Cutscenes were used abundantly and are now rejected, the new development wave is often trying to develop in a &amp;ldquo;zero cinematic&amp;rdquo; way. For the same reason, cinematics are also not usable in new Virtual Reality. If VR games and simulations provides a high level of presence, VR environments needs certain rules related in particular to the continuation of free will and the avoidance of possible Break in Presence. We propose in this paper a concept of Emotionally Intelligent Virtual Avatars, which when they perceive an important narrative stimulus, share their emotions through, gestures, facial nonverbal expressions, and declarative sentences to stimulate the player&amp;#39;s attention. This will lead players to focus on the narrative stimuli. Our research studies the impact of the use of Bernardo Agents Emotional Avatars involving n = 51 users. The statistical analysis of the results shows a significant difference in the narrative perception of the stimuli and in Presence, correlated to the use of Agents Bernardo. Overall, our emotional Agent Bernardo is a unique concept for increasing the perception of narrative stimuli in virtual environments using HMD, and may be useful in all virtual environments using an emotional narrative process.
PROCESSING IMAGES OF SALES RECEIPTS FOR ISOLATING AND RECOGNISING TEXT INFORMATION

Objectives . This article presents an application for the processing of scanned images of sales receipts for subsequent extraction of text information using the Tesseract OCR Engine. Such an application is useful for maintaining a family budget or for accounting in small companies. The main problem of receipt recognition is the low quality of ink and printing paper, which results in creasing and tears, as well as the rapid fading of printed characters. Methods . The study is based on a number of algorithms based on mathematical morphology methods for opening, closing and morphological gradient operations, as well as image conversion, which can significantly improve the final recognition of characters by Tesseract. Results . In order to solve this problem, a special image normalisation algorithm is proposed, which includes locating a receipt on an image, processing the received image section, removing image capture and carrier defects, as well as point processing for restoring missing characters. The developed application supports increased recognition accuracy of text information when using Tesseract OCR. Conclusion . The developed system recognises characters with fairly high accuracy, demonstrates a result that is better than that obtained when using the unmodified Tesseract method, but which is still inferior to the recognition accuracy of ABBY FineReader. Methods are also been proposed aimed at improving the developed algorithm.
Inclusion Education: Learning Reading Arabic Language And Alquran For Blind

Inclusive education is one of the priorities that must be considered for the sake of equality in educating the nation. Inclusive education is contained in the form of learning towards a group of people with special needs. Special needs in Indonesia are mostly those who have physical disabilities, one of the blind. This study aims to determine how the stages of learning to read Arabic letters and the Qur'an for the blind. This type of research is library research, with the method of collecting data, searching, analyzing, and synthesizing the latest research. The results of the study stages of learning to read Arabic letters and the Qur'an for the blind are: memorize Arabic Braille numeric codes from Alif أ to Ya ي, memorizing Arabic punctuation, practice fingering Braille hijaiyah letters and Arabic punctuation, IQRA reading practice starting from words to simple sentences, and practice reading the Koran which starts from short letters to long letters.
How to Implement the Commodity Publishing System in Ecommerce Platform

Abstract The Commodity publishing system is one of the most important software component of the ecommerce platform system. A simple and practical publishing system is necessary for the ecommerce platform system blooming everywhere. We describe how to design a commodity publishing system, including the system design features, the database design and software implementation. The method is helpful for software engineers.
Panoramic of Image Reconstruction Based on Geospatial Data using SIFT (Scale Invariant Feature Transform)

Reconstruction can mean the return of something in its place of origin, rearrangement of existing material and rearranged as it is or the original event. Where in this study used the SIFT, match and homography method. Based on the results of this experiment, it was able to reconstruct panoramic images. After the stitching process on geospatial data found was a problem where the GPS data is lost and the results are still there overlap. Where the initial data has GPS data.From the experimental results, we have reconstructed the panoramic data based on geospatial data using SIFT (Scale Invariant Feature Transform) method, in which the key point results obtained by matching the original image and stitched image. It can be seen from key point results from four images namely image A = 7, image B = 16, image C = 27 and image D = 32. By summing the key points from those images, the total number of key points are 82. The average of key points will be 20.5 and the average of the run time of the program is 0.0385 second. By knowing the position of initial image coordinate on the stitched image, we know where the position of longitude and latitude is. The stitched image from an image A located in (70,16′,51.2675″S/1120,47′,32.1102″E), image B located in (70,16′,51.4336″S/1120,47′,32.2728″E), image C located in (70,16′,51.6024″S/1120,47′,32.3975″E) and image D located in (70,16′,51,8191″S/1120,47′,32.5617″E). Meanwhile, GPS coordinates point in image A lies in x, y = (205, 164) and x ′, y′ = (603.15), in image B lies in x, y = (194, 175) and x ′, y′ = (598.70), image C located in x, y = (196, 110) and x ′, y′ = (599.71) and image D located in x, y = (28, 110) and x ′, y′ = (607,130).
Constructing Recommendation about Skills Combinations Frequently Sought in IT Industries Based on Apriori Algorithm

To adapt the IT curriculum to the requirements of the IT industry skills, several methods have been proposed.Among them is the method of mining job advertisement data to find skills that are being sought by the industry.However, so far no significant research has focused on providing recommendations on skills that need to be taken along with other popular skills to fill the job vacancies offered.Traditional recommendation methods cannot be applied because information related to user or industry ratings on a skill is not available in advertisements.This article proposes an alternative solution to this need by developing recommendation techniques based on skill association rules, where the rules are mined using Apriori algorithm.The recommendation results were confirmed to curriculum managers in several universities, and had obtained quite good recall and precision, namely 70% and 76% respectively.The proposed recommendation system is also able to find skill combinations that are prominent in job advertisements.
Whole Word Morphology Reloaded: The Case for a Semiotic Turn

GP-WWM is a research programme that uses WWM (Whole Word Morphology) in morphology, Generative Phonotactics in phonology, and a domain delineation that equates the phonology module with automatic processes. In this paper, we advocate letting semiotically based mechanisms reshape the way WWM deploys its Word Formation Strategies. We propose LSSG (Language-Specific Semiotic Guidelines) packages, pitting our main proposal, the purely semiotics-driven Cohort Coherence Design for such a package, against a sketchily delineated Diglossic Equations Design.
Computer Prediction of Adsorption Purification of Water From Impurities in Rapid Multilayer Filters of Cone-Shaped Form

In the paper а mathematical model for computer predicting of the process of adsorption purification of water from impurities in rapid multilayer filters while maintaining a constant filtration rate, taking into account the reverse influence of process characteristics (the concentrations of impurities respectively in the filtration flow stream and on the surface of the adsorbent load, the temperature of the filtration flow) on characteristics load (coefficients of filtration, active porosity, adsorption, desorption) is formulated. The corresponding model problem contains the equation of motion of the filtration flow according to Darcy's law, the continuity equation, the equation of mass and heat balance, and the equation to study the change in the characteristics of piecewise-homogeneous porous loads (filtration coefficients and active porosity). Provided that the convective components of heat and mass transfer and adsorption predominate over the contribution of diffusion and desorption, an algorithm for numerically-asymptotic approximation of solution of the corresponding nonlinear singularly perturbed boundary value problem for a model region of a conical shape, bounded two equipotential surfaces and a surface flow, separated by some given specified of the equipotential surfaces on several subdomains, is developed. The proposed model allows through computer experiments to investigate changes in the characteristics of piecewise homogeneous porous loads (coefficients of filtration and active porosity of filter materials in each layer), to predict the optimal use of adsorbents and increase the duration of operation of filters by selecting their shape and height influence on the process of adsorption purification of water not only changes in the filtration flow rate along the height of the filter, but also the temperature.
Research on Demand Response Mechanism Based on Multi-Agent Participation

Demand response business is becoming more and more complicated under the opening of retail side. It involves a large number of capital flow operations in subsidy settlement, penalty for breach of contract and so on. It needs a kind of technical means for effective management and protection. Based on the possible problems of multi-agent participation in demand response business, this paper analyzes the matching point between blockchain technology and demand response business, and finally designs a multi-agent participation demand response mechanism. Finally, the prospect of future research is proposed.
The Mediating Role of Mindfulness in the Relationship between Self-Regulated Learning and Goal Orientation with Academic Identity

The Mediating Role of Mindfulness in the Relationship between Self-Regulated Learning and Goal Orientation with Academic Identity
Abnormal Behavior Detection Based on Spatio-Temporal Information Fusion for High Density Crowd

With the strong demand of real-time detection of crowd abnormal behavior, an algorithm of abnormal behavior recognition based on video sequence for high-density crowd without any training stage is proposed, aiming at realizing online real-time detection of crowded events in intelligence video surveillance system. The problem of blurred targets and limited pixels of target expression will make it difficult to segment targets, which will affect the recognition of group behavior. In addition, severe occlusion limits the performance of traditional visual tracking methods. The use of classifier will result the dependence of scenes, and even affects the online deployment of intelligence video surveillance system. In the stage of detection process, the new method includes motion region segmentation, motion blobs extraction and crowd activity image creation, and then the information entropy of crowd activity image is used for the recognition of crowd behavior. The new method carries out experimental and quantitative data analysis on selected public data sets, and com-pares it with other online crowd event detection methods. The experimental results show that the method can detect ab-normal crowd behavior in high-density situations without training stage, and has better detection effect than the state-of-the-art technology.
Language in the age of dataism

The digital age brings dramatic changes to language and communication; its effects can be seen in the ways we use language, the channels we use to communicate and the manners in which ideas are spread. From the other end of the spectrum, our linguistic behaviour, communications and knowledge are transformed into data which can be used or bought to feed intelligent technologies. The article presents a bird's eye view of this dynamics of change, first by focusing on the impact of digitisation on language itself, further by analysing current trends in the language industry where traditional services are being replaced by technology- and data-driven solutions, and finally by exploring the impact of these technologies on man and society at large. We make a case for digital linguistics as an interdisciplinary field of study which adopts a human-centred approach to the sociolinguistic, technological, economic, infrastructural and ethical issues emerging with regard to language in the digital age.
SimpleGAN Stabilizing Generative Adversarial Networks with Simple Distributions

Generative Adversarial Networks (GANs) are powerful generative models, but usually suffer from hard training and poor generation. Due to complex data and generation distributions in high dimensional space, it is difficult to measure the departure of two distributions, which is however vital for training successful GANs. Previous methods try to alleviate this problem by choosing reasonable divergence metrics. Unlike previous methods, in this paper, we propose a novel method called SimpleGAN to tackle this problem: transform original complex distributions to simple ones in the low dimensional space while keeping information and then measure the departure of two simple distributions. This novel method offers a new direction to tackle the stability of GANs. Specifically, starting from maximization of the mutual information between variables in the original high dimensional space and low dimensional space, we eventually derive to optimize a much simplified version, i.e. the lower bound of the mutual information. For experiments, we implement our proposed method on different baselines i.e. traditional GAN, WGAN-GP and DCGAN for CIFAR-10 dataset. Our proposed method achieves obvious improvement over these baseline models.
Publisher Correction: Mathematical languages shape our understanding of time in physics

An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Research on Multi-Attribute Data Completion Method Considering Data Distribution Characteristics

For the data completion method, the maximum likelihood estimation method is suitable for big data, and the K-nearest neighbor method only considers the linear relationship between the same attributes of different data. Although the BP neural network considers the nonlinear relationship between data attributes, the sample distribution has a great influence on the data completion effect. DBSCAN is used to classify the sample data, analyze its distribution characteristics, eliminate the noise data and select training samples, and use BP neural network to fit the nonlinear relationship between data attributes to predict the missing data values. Through the analysis of the example data set, it can be seen that the BP considering the data distribution characteristics has the best complete accuracy.