Reviewerly/exHarmony huggingface dataset:
Short Term Effect of Virtual Reality Headset on Blink Rate and Inter-Blink Interval

Virtual reality (VR) headsets are becoming remarkably well-known nowadays, especially in gaming industry. Their ability to immerse users into virtual world makes them captivating. However, there is limited research about the impacts of this technology on our eyes and vision. This study investigated if there is any effect on blink rate (BR) and inter-blink interval (IBI) after 30 minutes of watching 3-dimensional (3D) movie on VR. Besides, this study compares between watching 3D movie on VR headset and 2D movie on laptop. Blinks were recorded over 1 minutes for 32 participants volunteered in this study before and after 30 minutes of watching 3D movie on VR headset and 2D movie on laptop. The result of BR and IBI between pre- and post-watching 3D movie on VR was not significant (p= &gt;0.05). The result between watching movie on laptop and VR also not significant (p= &gt;0.05). Watching 3D movie on VR for 30 minutes resulted in no effects on blink rate and inter-blink interval of the users.
Psychological Suppositions of the Program Implementation for the Personal and Professional Development of the Future Teacher in the Educational Process

The article analyzes the main aspects of the technology of implementation of the program of personal and professional development of the future teacher in the educational process of the pedagogical university.It is stated that personal development and professional development are a prolonged process that requires adequate ways, forms and methods, close cooperation of teachers and students in the implementation of technology of psychological knowledge and psychological support programs for students to master professional competencies.The technologies for the formation of psychological knowledge, the skills of analyzing school pedagogical, educational situations, the ability to model the educational process, taking into account the development situation (physiological, moral, mental, psychological, social, spiritual), leading activities, mental neoplasms of a particular student, educational potential a specific family and the peculiarities of communication with friends, relatives and social environment determine the professional development for the personal growth of the future teacher.
DETECTION OF BLOOD CELLS

The structure of the medical image analysis system is considered. The algorithm of the blood cell recognition system is given. Formulated the main tasks to be solved during the morphological analysis of blood. The requirements for the algorithm in determining the leukocyte formula and the detection of blood corpuscles on a smear were determined. A model of color-brightness characteristics is proposed for describing typical images of a blood smear. The threshold values of the sizes of objects are determined when searching for cells. A histogram of the brightness of a typical field of view was investigated. A two-step algorithm for detecting blood cells is described, as well as an algorithm for constructing a dividing line on the plane of relative colors. The results of experiments on real preparations are given. The causes of detection errors are considered.
Implementation of Machine Learning Approaches for Breast Cancer Prediction

The grouping of bosom malignant growth has been the subject of enthusiasm for the fields of medicinal services and bioinformatics, in light of the fact that it is the subsequent primary explanation of disease related passings in ladies. Bosom malignancy can be investigated utilizing a biopsy where tissue is wiped out and concentrated under magnifying instrument. The distinguishing proof of issue depends on the capability and experienced of the histopathologists, who will consideration for unusual cells. Be that as it may, if the histopathologist isn’t all around prepared or encountered, this may prompt wrong finding. With the ongoing suggestion in picture handling and AI space, there is an enthusiasm for test to build up a solid example acknowledgment based structure to improve the nature of finding. In this work, the picture highlight extraction approach and AI approach is utilized for the grouping of bosom disease utilizing histology pictures into threatening. The preprocessing on the picture is done using histopathological picture after that apply feature extraction and classify the final result using SVM and Naive Bayes Classification techniques.
An Indonesian EFL Student’s Perception and Experiences in repeating English Language Proficiency Test

This work aims to investigate an Indonesian EFL student’s perceptions and experiences in repeatedly doing standardized English language proficiency test: TOEIC (Test of English for International Communication) and TOEFL (Test of English as a Foreign Language). This standardized test has a significant role in the academic and professional lives of students (Anam, 2019); it contributes positively to students’ language proficiency and their future employment if they have higer and valid score in the test (Hsieh, 2017). This present study interviewed an Indonesian EFL student at a National University in Taiwan running an international program. The study participant passed the exam, but she did it repeatedly before she could pass it. This study used a qualitative phenomenological approach with an in-depth interview. The relevant findings illustrate that the participant reveals the reasons for failing the test: lack of self-awareness, lack of self-confidence, and the distance of the test venue from her dormitory. On the contrary, she passed the test by doing online simulation exam individually and modifying her study skills while preparing for the test. The failure process had a positive impact on her in making her to know her ability.
7. Machine vision for human–machine interaction using hand gesture recognition

The hand gesture recognition system has an immense potential to change interface between human and machine. The interaction between human and machine through natural, ancient, and most effective way of communication is through gestures. This will enhance the capabilities of the mentally and physically enabled person through sign language as well as has N number of applications such as robot control, surveillance, and so on. This chapter illustrates the possible human-machine interaction and its types, implementation of gesture control with camera, and Kinect sensor. Gesture recognition and identification of pose in dynamic environment is done in Python language. Further use of database for hand gesture recognition and their uses are provided in the chapter for real-time implementation on the system to increase the variability use of gesture recognition.
Librarians Skills and Competencies for Scholarly Communication and Repository Management in Nigeria

The rapid change in scholarly communication and knowledge management has transformed the repository services and imposed new skills and competencies for repository management. This study is posed to assess the skills and competencies of librarians for repository management and scholarly communication in academic institutions in Nigeria. The study adopted a survey research design to assess the skills and competencies of the librarians using NASIG “Core Competencies for Scholarly Communication Librarians 2017”. The sample size of the study comprises 120 librarians across 40 institutions. The findings of the study indicate among others that; 74 % of the librarians have a general understanding of repository platforms, 54.17% background knowledge of open access movement, and 58% experience in advocacy for open access. At the same time, 83.3% of the librarians can capture, store, and preserve the research output. While 62.3% understand research impact, only 35.8% understand emerging alternatives measures of the impact. Although, 73.1 % understand Data description and storage, only 20.8% understand text and data mining. The study concluded that awareness, skills, and competencies of the librarians is increasing and recommends among others; setting up a framework for the employment of repository and scholarly communication librarians and training on repository management and scholarly communication.
Psychological Features of Socialization of the Young Generation in the Conditions of Post-Conflict Society

The article is devoted to identifying and substantiating the psychological characteristics of the socialization of the younger generation in a post-conflict society.The relevance of the study lies in the fact that in the modern world the number of regional conflicts is growing, despite all the warnings from international organizations and leaders of movements for the struggle for a culture of peace.Regional conflicts are often protracted and long-term, they affect the material and moral resources of the region's ethnic groups, thereby causing irreparable harm to the region and the whole world.The purpose of this article is to describe the psychological characteristics of the socialization of the younger generation in a post-conflict society.The objectives of the research are -to analyze the ethnic conflict from the standpoint of psychology and to identify the psychological characteristics of the socialization of youth in a post-conflict society.The research methods were theoretical comparative analysis of psychological sources and included observation of the population in a situation of ethnic conflict and after it .The results of the study were theoretical conclusions about understanding the socialization of the younger generation as gaining experience in overcoming the consequences of ethnopolitical conflict and the psychological characteristics of this socialization.The specific features included: understanding and awareness by the young generation of the impossibility of a military adjustment of an ethnopolitical conflict and the only way to resolve it -to implement a peaceful solution of the conflict; assimilation of knowledge about the genesis of both the conflict situation itself and the subjects of the conflict and the countries, peoples, surrounding this conflict, etc .; creation of conditions for the entogenesis of each nation, which is part of the national composition of the country, and understanding of its role in a multinational state; the presence of authoritative leaders ("Father of the Nation") and their advisers, or persons close to the leader; taking into account various ethnosocial and ethnopsychological characteristics of a people, nation or ethnos; determination of the "strength" of the ethnic in the self-consciousness of the people; the impossibility and inadmissibility of the "transfer" of the regional conflict by the young generation to another territory, another region and at another time; inadmissibility of covering future generations in a conflict situation.The results include practical recommendations for building further socio-psychological work to socialize the young generation in a post-conflict society.Research prospects are presented in the development of a sociopsychological program for specific regions and the identification of mechanisms and patterns of socialization of the young generation in a post-conflict society in the 21st century.
SITUATIONAL TASKS AS AN EFFECTIVE TOOL OF KNOWLEDGE CONTROL OF HIGHER EDUCATION’S APPLICANTS

The organization of the educational process in a higher educational institution must meet the world standards of higher education, provide active motivation for higher education’s applicants to obtain professional knowledge and guarantee quality education. The modern process of professional training in Ukraine is carried out under the influence of the requirements of the European educational space.&#x0D; Higher School of Pharmacy is dynamically developing and constantly changing, improving the quality of specialists with higher pharmaceutical education, which is provided by improving educational programs in each discipline and a new approach to their teaching.&#x0D; The article considers the role of situational tasks as an effective tool for monitoring the knowledge of higher education’s applicants. It is shown that the method of knowledge control using situational tasks encourages higher education’s applicants to study not only basic but also additional educational literature, to improve methods of self-control of knowledge and skills.&#x0D; Situational tasks are one of the means to achieve high efficiency of educational activities of higher education’s applicants in the development of certain competencies through various types of vocational education. They are especially important in distance education, as they provide a high level of independence and creativity in the cognitive activity of higher education.
CONCEPT DRIFT IN STREAMING DATA: A SYSTEMATIC LITERATURE REVIEW

World is generating immeasurable amount of data every minute, that needs to be analyzed for better decision making. In order to fulfil this demand of faster analytics, businesses are adopting efficient stream processing and machine learning techniques. However, data streams are particularly challenging to handle. One of the prominent problems faced while dealing with streaming data is concept drift. Concept drift is described as, an unexpected change in the underlying distribution of the streaming data that can be observed as time passes. In this work, we have conducted a systematic literature review to discover several methods that deal with the problem of concept drift. Most frequently used supervised and unsupervised techniques have been reviewed and we have also surveyed commonly used publicly available artificial and real-world datasets that are used to deal with concept drift issues.
Correction to: Cubic bent functions outside the completed Maiorana-McFarland class

A correction to this paper has been published: https://doi.org/10.1007/s10623-019-00712-y
Developing Indonesian Learning Game Applications for Elementary School Students Using the Prototyping Method

Indonesian Language Lessons are lessons that must be given in the world of education ranging from basic education to higher education. The problem that is currently emerging is that Indonesian language lessons are less attractive and less attractive to students in elementary schools. The purpose of this research is to develop an application of Indonesian language learning games for elementary school students with the Android Game-based prototyping method as a medium for learning Indonesian lessons in elementary schools to make it more interesting, and to help make it easier for students to understand Indonesian lessons well in the hope of making an educational atmosphere. interesting, fun, comfortable and can increase the value of students. The prototyping method is a software development method, in the form of a physical working model of the system and functions as an early version of the system. With this prototyping method, a system prototype will be produced as an intermediary for developers and users so that they can interact in the process of information system development activities. In order for the prototype making process to be successful, it is by defining the rules at an early stage, that is, the developer and the user must have an understanding that the prototype is built to define initial requirements. The prototype will be removed or added to its part so that it is in accordance with the planning and analysis carried out by the developer until the trial is carried out simultaneously along with the development process..
Categorization of Text Documents Based on Fuzzy Attitude and Neural Networks

With the exciting development of Internet and the increasing use of it for providing or acquiring information, we are witnessing an enormous volume of text documents and online images. This is considered as information redundancy, which is one of the prominent features of modern day life. In this regard, fast and accurate access to important and favorite resources is one of the concerns of users of these enormous resources of information. Today, what is of great importance is the lack of methods to find and optimally exploit the information available, rather than the shortage or lack of information. The problem with big image data, the effort to eliminate noise and visual disturbances such as parameters from inappropriate light sources, the inadequacy of color combinations, and many other factors in received images, are very important issues in working on images and processing them. In this regard, the method of classification of the texts from the images using a fuzzy system and neural network based algorithm is suggested. In this method, the location of the fuzzy system is introduced at the begin and end of the neural network synchronized with fuzzification operation and fuzzy inversion. In fact, the main idea in this article is to eliminate or minimize noise in classifying the documents with high inaccuracy.
Considerations on the need to re-configure the teaching process from the key-competence perspective

The article outlines certain characteristics of pedagogy in the post-modern period; highlights the paradigm of the curriculum, which has established itself in the context of post-modern pedagogy as a model of raising the efficiency of the learning process; promotes a holistic, trans-disciplinary and functional-pragmatic approach towards learning; and argues in favor of reconfiguring the current learning process from the perspective of key competencies.
The Essence of the Phenomenon of Facilitation in the Context of the Implementation of the Ideas of Partnership Pedagogy in Primary School

The article proves the urgency of the problem of forming the readiness of future primary school teachers for facilitation interaction of teachers with all participants in the educational process, reveals the essence of the development of the research problem in the psychological and pedagogical literature. The essence of the concepts «pedagogical facilitation», «teacher-facilitator» is defined, the purpose of facilitation is revealed, the facilitation role of the primary school teacher in the context of realization of ideas of partnership pedagogy is substantiated. The basic instructions of the teacher-facilitator, as well as general methods that can be used in various modifications are analyzed. It is proved that pedagogical facilitation creates the best conditions for the implementation of the ideas of partnership pedagogy in the modern educational process, and is also a more effective tool for partnership pedagogy.
Adapting Event Extractors to Medical Data: Bridging the Covariate Shift

We tackle the task of adapting event extractors to new domains without labeled data, by aligning the marginal distributions of source and target domains.As a testbed, we create two new event extraction datasets using English texts from two medical domains: (i) clinical notes, and (ii) doctor-patient conversations.We test the efficacy of three marginal alignment techniques: (i) adversarial domain adaptation (ADA), (ii) domain adaptive fine-tuning (DAFT), and (iii) a new instance weighting technique based on language model likelihood scores (LIW).LIW and DAFT improve over a no-transfer BERT baseline on both domains, but ADA only improves on notes.Deeper analysis of performance under different types of shifts (e.g., lexical shift, semantic shift) explains some of the variations among models.Our best-performing models reach F1 scores of 70.0 and 72.9 on notes and conversations respectively, using no labeled target data.
FORMATION OF PROFESSIONAL COMPETENCE OF FUTURE FOREIGN LANGUAGE TEACHERS IN THE PROCESS OF PROFESSIONAL TRAINING

The study is comprehensively characterized professional competence as a basis for professional training of future foreign language teachers; new approaches to the system of professional teacher training are outlined; the model of professional competence of future foreign language teachers is presented.&#x0D; The future teacher is the implementer of the state policy on the development and formation of the younger generation. The professionalism and quality of professional activity of the future generation largely depends on teacher training. &#x0D; The analysis of scientific literature and research on the issues of professional training of future teachers of foreign languages allowed determining the features and essence of their professional and pedagogical orientation. Under the professional and pedagogical orientation of the future foreign language teacher we understand the integral professional quality of the individual, which implies a constant interest in the profession of foreign language teacher, the need for systematic and continuous work on themselves and their own communication skills, desire to constantly communicate with students and teach them foreign language communication.&#x0D; It has been concluded that it is necessary to improve the professional training of future teachers and strengthen the role of teachers in society. One of the important factors in this is the definition of requirements for future teachers, for their professional training, which should be focused on multifaceted future professional activities.
The Development of PKn Learning Media in the Form of Microsoft Power Points on the Material on the Diversity of Individual Characteristics of Class III SD/MI

This study aims to develop learning media for microsoft power point that can be used as an innovative learning medium in Civics lessons at SD N 1 Banjar Bali.With learning media in the form of power points, this makes students more interested and active in learning in the classroom.This research used the Borg and Gall model of research and development (R&D) which was carried out in only six stages because school conditions were not conducive due to the Covid-19 pandemic so that it could not be tested in the field and only reached the sixth stage.The steps taken are (1) analysis of potentials and problems, (2) data collection, (3) product design, (4) design validation, (5) design revision and (6) individual trials.The evaluation of the development of learning media in the form of power points was assessed by 3 expert validators, namely (1) content expert test, an average score of 92% was obtained in the very feasible category, (2) the instructional design expert test obtained an average score of 93% being at very feasible category and (3) media expert test obtained an average score of 92% in the very feasible category.While the media test subjects were only carried out in the individual test stage, namely 3 students who were drawn from high, moderate, and low abilities, it was obtained an average of 93% who were in the very feasible category.
Prediction-based robust blind reversible watermarking for relational databases

As the size of database grows, the possibility of database corruption also increases. One such example is of temporal databases in which deletion never occurs except in case of vacuuming. A strong security mechanism is needed to find any database modification. In case of any tampering, tampered data should be identified and recovery of original data from the tampered one is also essential. In this work, a new watermarking scheme for database authentication and forensic analysis is developed. The proposed system uses a set of watermark bits to make a validation and recovery mechanism for database authentication. In order to measure the robustness of this approach, online available yahoo financial data is watermarked through this approach and simulation of insertion, modification and deletion attacks are performed. Normalised correlation (NC) and mean square error (MSE) are used for measuring the performance of this approach. Extensive analysis shows that the proposed method is robust against various forms of database attacks, including insertion, deletion and modification. In future, in order to identify the best possible locations for embedding the watermark, optimisation algorithms can be used. Also methods may be developed for enhancing the embedding capacity of the watermark.