Reviewerly/exHarmony huggingface dataset:
Information system for carrying out vocational guidance work in schools of Ukraine

Problem. The problem for Ukrainian universities is the annual enrollment of students in the amount that allows the university to exist and fulfill its purpose. In the conditions of a significant decrease in the number of graduates in our country and an increase in the number of higher educational institutions, the competition among universities for entrants has sharply increased. Goal. It is necessary to create an information system to inform high school students throughout Ukraine about the existence of the Kharkiv National Automobile and Highway University, its specialties, opportunities, advantages, etc. Perhaps the consequence of such widespread information will be an increase in the number of applicants at our university. Methodology. When developing an information system for fast automatic sending of messages to many thousands of addresses of educational institutions of Ukraine of the III level of accreditation, it was impossible to rely on existing analogues, because such were not found in the information space. We used the method of synthesis of information systems on the technical task. Results. An information system has been developed for fast sending of messages to ten thousand addresses of educational institutions of the III level of accreditation. The developed information system searches for the corresponding addresses on the Internet and enters them into the computer database. The basis of the developed system is the database "Graduate of Ukraine", which contains the necessary information about almost all educational institutions with III level of accreditation. The algorithm of work of the developed information system and a kind of the interface of a software complex are resulted. In addition, many results of the system are presented: the created tables with data on educational institutions, the developed inquiries and reports, e-mails with invitations to the Open Doors Day. Originality. The developed system is an original development in Ukraine. No mention was found of an information system that creates and generates database tables and then uses them for programmed actions. Practical value. The developed information system is already used to provide students of graduation and other classes of all educational institutions of Ukraine of the III level of accreditation with information about our university; regarding the specialties offered by the university and the corresponding professions; regarding open days, preparatory courses and much more.
UPAYA MENINGKATKAN HASIL BELAJAR IPS SISWA DENGAN MODEL PEMBELAJARAN JIGSAW KELAS VI SEKOALAH DASAR NEGERI 18 LUBUKLINGGAU

This study aims to improve the social studies learning outcomes of Class VI students of SD Negeri 18 Lubuklinggau by using the Jigsaw learning model. The research method used in this study is a classroom action research method (Action Research) using the Jigsaw learning model. Data collection techniques were carried out by means of observation and tests. Based on the results of research using the Jigsaw learning model in class VI students at SD Negeri 18 Lubuklinggau, it turned out to be able to improve student learning outcomes. Student learning outcomes continue to increase in each cycle, in the first cycle of the first meeting the average student learning outcomes of 51.86, the second meeting of 59.45 then in the second cycle of the first female student learning outcomes of 62.14 and at the second meeting 67 .95. and in cycle 3 the first meeting the average student learning outcomes was 71.14 and the second meeting was 85.76
The Behaviorism Perspectives on English Learning: Its Theorical and Implications for Foreign English Learner in Online Learning Era

The successful of teaching learning process not only focus on the technique and the materials. Especially to learn English Subject the lecturer should attend in linguistic perspective especially in this case discuss about behaviorism perspective. Behaviorism is one of the learning perspectives centered on instructors for a long time, as an education regulator, shaping every aspect of the curriculum and commands. This paper presents an explanation of the characteristics of behavior, its philosophical and basic theory and the application of behaviorist theory to teach foreign language learner in Campus 7 Poltekkes Kemenkes Semarang in Environmental Health Department in online era. which has connection with theory which under pines the widely used Audio lingual Method by lecturers. In line, behaviorism perspective also has a close relationship with the audio lingual method to give reinforcement and encouragement to the students. So the important application in this case is the psychological aspects of students in the online era learning and is supported by the appropriate learning method.
Making A Web-Based Application For Sales Kitchen Bunda Ghina Using Php And Mysql

Mother Ghina's kitchen is located in Teluk Low Pasar Village, Tebo Ilir District, Jambi Province. When transacting, store sellers still use simple media for information delivery, such as WhatsApp, Facebook and word of mouth. The purpose of creating this application is to expand promotional media and make it easier for consumers from inside and outside the city to place orders online. In the process of creating the website using PHP programming language and Mysql as database. The final stage is to conduct a trial over the Internet.
Book Review of Information Technology for Librarians and Information Professionals

This is a review of the book titled "Information Technology for Librarians and Information Professionals."
Development of a Natural Language Processing Machine to Enhance Identification of Opioid Use Disorder in Electronic Health Records

Background/Objective: Real-world data, including electronic health records (EHRs), has shown tremendous utility in research relating to opioid use disorder (OUD). Traditional analysis of EHR data relies on explicit diagnostic codes and results in incomplete capture of cases and therefore underrepresentation of OUD rates. Machine learning can rectify this by surveying free clinical notes in addition to structured codes. This study aimed to address disparities between true OUD rates and cases identified using traditional ICD codes by developing a natural language processing (NLP) machine for identifying affected patients from EHRs.&#x0D; Methods: Patients (≥12 years old) who had received an opioid prescription from IU Health or Eskenazi Health between 1/1/2009 and 12/31/2015 were identified by the Regenstrief Institute. Exclusion criteria included any cancer, sickle cell anemia, or palliative care diagnoses. Cases of OUD were identified through ICD codes and NLP. The NLP machine was developed using a dictionary of key OUD terms and a training corpus of 300 patient notes. A testing corpus of 148 patient notes was constructed and validated by manual review. The NLP machine and ICD 9/10 codes were independently tested against this corpus.&#x0D; Results: Although ICD codes identified OUD cases with high specificity (98.08%), this method demonstrated moderate sensitivity (53.13%), accuracy (68.92%), and F1 score (68.92%). Testing using the NLP method demonstrated increased sensitivity (93.75%), increased accuracy (89.19%), and increased F1 score (91.84%); specificity mildly decreased (80.77%).&#x0D; Conclusion: Our revised NLP machine was more effective at capturing OUD cases in EHRs than traditional identification using ICD codes. This illustrates NLP’s enhanced capability of identifying OUD cases compared to structured data.&#x0D; Potential Impacts: These findings establish a role for NLP in OUD research involving large datasets. Ultimately, this is intended to improve identification of risk factors for OUD, which is of significant clinical importance during a public health crisis.
Image Watermarking Based on Chaos Encryption with Hybrid Mapping and Grey Wolf Optimizer

In this study, a new watermarking system was proposed to address two major concerns: slow learning and computational capability.At first, cover image was transformed into wavelet environment utilizing Integer Wavelet Transform (IWT) that makes the cover image free from false errors.Then, Grey Wolf Optimizer (GWO) was utilized for selecting the image pixels to embed the secret image in the cover image.GWO effectively selects the pixels utilizing fitness function, which calculates entropy, pixel intensity and edge of the cover images.Besides, the secret image was encrypted by using chaos encryption with hybrid mapping (logistic and henon map) that improves computation efficiency and security with good embedding capacity.After the cover image transformation and secret image encryption, Least Significant Bit (LSB) was utilized to deliver self-recovery features and also for locating the tempered region in the digital image.Experimental results showed that the developed system attained a secure transmission network with low complexity in light of Unified Averaged Changed Intensity (UACI), entropy value, Structural Similarity Index (SSIM), Normalized Cross Correlation (NCC), and Peak Signal-to-Noise Ratio (PSNR).Compared to the existing systems, the proposed system showed 3dB to 4.4 dB improvement in PSNR and 0.32 value improvement in SSIM.
REAL OBJECT DETECTION SYSTEM FOR IRAQ TRAFFIC SIGNS BASED ON MASK R-CNN

Traffic signs object detection has gained great interest in recent years, as one of the most important object detector applications. Traffic signs detection is based on deep learning, which gives it the benefit of high detection precision and timely response to condition changes of the traffic. Therefore, this paper shows an efficient method for detecting traffic signs in real-time. Hence, it implements a new Iraqi Traffic Sign Detection Benchmark (IQTSDB) dataset based on Mask Region-based Convolutional Neural Network (Mask R-CNN). The results show that the implementation of IQTSDB dataset with Mask R-CNN has a great efficiency in different conditions such as sunny, cloudy, weak light, and rainy conditions. In addition, the real video captured for traffic signs in Baghdad has been taken and compared to the German Traffic Signs Detection Benchmark (GTSDB) dataset. The IQTSDB dataset has a better performance than GTSDB dataset based on the performance parameters training loss and mean Average Precision (mAP).
ON THE PROBLEM OF DEVELOPING CHILDREN’S INTEREST IN READING: THE SEARCH FOR EFFECTIVE METHODS OF WORK

Рассматривается проблема формирования интереса дошкольников к книге и читательской деятельности. Обосновывается необходимость ее решения из-за падения интереса к чтению и традиционной книге на всех этапах образования. Анализируются точки зрения ученых на данную проблему и различные методические подходы, связанные с формированием конкретных читательских умений у детей через соответствующие методические приемы литературного чтения, литературного слушания и литературного творчества. Приведены данные, полученные в результате эмпирического исследования, в котором участвовали дети старшего дошкольного возраста, а также показатели и критерии оценки уровня сформированности интереса старших дошкольников к книге и читательской деятельности, имеющие практическую значимость наравне с предлагаемыми путями решения обозначенной проблемы. The problem of the formation of preschool children’s interest in books and reading activities is considered, the necessity of its solution is justified due to the decline in interest in reading and traditional books at all stages of education. The points of view of scientists on this problem and various methodological approaches related to the formation of specific reading skills in children through appropriate methodological techniques of literary reading, literary listening and literary creativity are analyzed. The psychological features of the perception of the text of a work of art by children of middle and older preschool age are highlighted, based on which special methodological techniques have been developed and tested. The authors present their own experience of solving it and provide data obtained as a result of an empirical study (questioning kindergarten teachers, monitoring the activities of children), in which older preschool children participated. The indicators and criteria for assessing the level of formation of the interest of older preschoolers in the book and reading activities, which have practical significance on a par with the proposed ways to solve the designated problem, are given. A workbook is presented, based on which children perform interesting and diverse tasks when working with artistic texts. In the conclusion of the article, the authors demonstrate data confirming the effectiveness of the approaches they have developed.
Building a Discourse-Argument Hybrid System for Vietnamese Why-Question Answering

Recently, many deep learning models have archived high results in question answering task with overall F1 scores above 0.88 on SQuAD datasets. However, many of these models have quite low F1 scores on why-questions. These F1 scores range from 0.57 to 0.7 on SQuAD v1.1 development set. This means these models are more appropriate to the extraction of answers for factoid questions than for why-questions. Why-questions are asked when explanations are needed. These explanations are possibly arguments or simply subjective opinions. Therefore, we propose an approach to finding the answer for why-question using discourse analysis and natural language inference. In our approach, natural language inference is applied to identify implicit arguments at sentence level. It is also applied in sentence similarity calculation. Discourse analysis is applied to identify the explicit arguments and the opinions at sentence level in documents. The results from these two methods are the answer candidates to be selected as the final answer for each why-question. We also implement a system with our approach. Our system can provide an answer for a why-question and a document as in reading comprehension test. We test our system with a Vietnamese translated test set which contains all why-questions of SQuAD v1.1 development set. The test results show that our system cannot beat a deep learning model in F1 score; however, our system can answer more questions (answer rate of 77.0%) than the deep learning model (answer rate of 61.0%).
Genetic Discrimination in Access to Life Insurance: Does Ukrainian Legislation Offer Sufficient Protection against the Adverse Consequences of the Genetic Revolution to Insurance Applicants?

This paper presents an inter-disciplinary study of the risk for, and protections against, genetic discrimination in access to life insurance in Ukraine. It aims (i) to review questions related to genetic information, health status, and family history currently included in Ukrainian life insurance application forms; (ii) to analyze the Ukrainian legislation related to equity and nondiscrimination and to determine whether it provides adequate protection against genetic discrimination (GD). Research findings of our insurance application forms review show that Ukrainian life insurance companies ask broad questions about health and family history that may be perceived by applicants as requiring the disclosure of their genetic information. Our legal analysis shows that today there are no genetic specific law protecting Ukrainians people against GD in insurance. However, Ukrainian human rights legislation provides some protection against multiple grounds of discrimination and given the ratification by Ukraine of the European Convention on Human Rights it is possible that these grounds could be interpreted by tribunals as also including genetic characteristics. As a next step, Ukrainian researchers should develop a survey to obtain much needed data on the incidence and impact of GD in Ukraine. Following this it will be possible for policymakers to better assess whether there is a need for an explicit non-GD law in this country. Such a law would have the benefit of explicitly aligning Ukraine’s legal framework with that of many of its European partners.
MASALAH EIGEN DAN EIGENMODE MATRIKS ATAS ALJABAR MIN-PLUS

Eigen problems and eigenmode are important components related to square matrices. In max-plus algebra, a square matrix can be represented in the form of a graph called a communication graph. The communication graph can be strongly connected graph and a not strongly connected graph. The representation matrix of a strongly connected graph is called an irreducible matrix, while the representation matrix of a graph that is not strongly connected is called a reduced matrix. The purpose of this research is set the steps to determine the eigenvalues and eigenvectors of the irreducible matrix over min-plus algebra and also eigenmode of the regular reduced matrix over min-plus algebra. Min-plus algebra has an ispmorphic structure with max-plus algebra. Therefore, eigen problems and eigenmode matrices over min-plus algebra can be determined based on the theory of eigenvalues, eigenvectors and eigenmode matrices over max-plus algebra. The results of this research obtained steps to determine the eigenvalues and eigenvectors of the irreducible matrix over min-plus algebra and eigenmode algorithm of the regular reduced matrix over min-plus algebra
KRUCIAL- All in One Delivery Web Application

Abstract: This is a website for searching availability of any stationary product in the nearby stationary stores of the user, now including the online pharmacy feature and then the user can place the order in any of those stores. The user will enter the product name required. After searching for the availability of that product in the nearby store, the result will be shown (including a description of the product, price of the product, etc). Then the user can compare the price and quality of the product. After that, the user can choose a store from where they want to order the required product. The users can directly explore the website and can continue shopping. And once the order gets confirmed from the store the user will receive confirmation details. Once the order gets delivered the user will receive a feedback form about the experience of shopping with our website and also the delivery time, behavior of that delivery person. The user can also rate and write reviews on our website about the store they have placed their order.
Stage Design as a Spatial Environment of the Performance: Definition of the Concept

The article is devoted to the definition of "stage design". On the basis of terminological analysis, the essence of the concept of "stage design" is revealed, its essential features are determined and the connection with other concepts in the context of artistic design of a theatrical production is analyzed. With the help of comparative analysis, common and different features between the concept of "scenography" and "theatrical and decorative art" were revealed. The definition is understood by us as a list of essential features of an object or phenomenon that represent the concept and verbal expression of those specific features that distinguish this concept from related to it. The study found that stage design as a type of design and art activities involves the design, construction and organization of stage space with elements of other types of design, composition and stylistic devices. Its main task is to work with the environment of human life in a conventional play space, to create an artistic image of the play, which will make the viewer an emotional impression, relevant to the issue of staging. In our opinion, the term "stage design" most accurately reflects the state of the essential and conceptual approach to the solution of scenographic design of plays in domestic directing theater, the process of creating a unique visual image due to the synthesis of symbolic means to reveal the author's concept and meaningful content.
A Method for Gradient Differentiable Network Architecture Search by Selecting and Clustering Candidate Operations

The current evolution of deep learning requires further optimization in terms of accuracy and time. From the perspective of new requirements, AutoML is an area that could provide possible solutions. AutoML has a neural architecture search (NAS) field. DARTS is a widely used approach in NAS and is based on gradient descent; however, it has some drawbacks. In this study, we attempted to overcome some of the drawbacks of DARTS by improving the accuracy and decreasing the search cost. The DARTS algorithm uses a mixed operation that combines all operations in the search space. The architecture parameter of each operation comprising a mixed operation is trained using gradient descent, and the operation with the largest architecture parameter is selected. The use of a mixed operation causes a problem called vote dispersion: similar operations share architecture parameters during gradient descent; thus, there are cases where the most important operation is disregarded. In this selection process, vote dispersion causes DARTS performance to degrade. To cope with this problem, we propose a new algorithm based on DARTS called DG-DARTS. Two search stages are introduced, and the clustering of operations is applied in DG-DARTS. In summary, DG-DARTS achieves an error rate of 2.51% on the CIFAR10 dataset, and its search cost is 0.2 GPU days because the search space of the second stage is reduced by half. The speed-up factor of DG-DARTS to DARTS is 6.82, which indicates that the search cost of DG-DARTS is only 13% that of DARTS.
Exploring Concept Mapping as a Diagnostic and Predictive Assessment Tool in Pre-Service EFL Teacher Education

This study explored (a) pre-service teachers’ knowledge structure on teaching English as a foreign language (EFL) reading using concept mapping in a language pedagogy course, (b) the characteristics of concept maps drawn, and (c) the relationship between concept mapping and the course achievement scores. The participants were 14 pre-service teachers majoring in English language education at a university in Hong Kong. The data sources included assessments of concept maps and final exam scores. The overall research findings reveal the educational potential of integrating concept maps as a diagnostic and predictive assessment tool in teacher education programs.
EDUCATIONAL IMPACTS AND INTERACTIONS CREATED BY SOCIAL MEDIA INFLUENCERS REGARDING ACCESSIBILITY IN THE AREA OF COMMUNICATION

The article presents the results of research related to possibilities of moral and intercultural education contained in social networks and accessibility in the area of communication. The aim of the study is to identify and describe the impact of influencers on adolescents in regard to accessibility to information and communication. A software solution was used in order to obtain samples for the analysis of multiple posts published by different individuals in various social networks. The results indicate that opportunities for an effective process of education concerning the aforementioned elements can be observed if the content published by influencers is compliant with certain factors. Some of those factors are as follows: the posts should describe personal examples to which people can relate or can perceive in order to comprehend the challenges connected to accessibility in a better way; the content should comprise explanations that clarify situations and issues, providing information and raising awareness; the followers and the influencers should encourage discussions on these topics, ensuring that decisions should be made and solutions should be found on the matter of accessibility in the area of communication.