Reviewerly/exHarmony huggingface dataset:
IMPLEMENTATION OF CROSS-CURRICULAR INTEGRATION IN THE PROFESSIONAL TRAINING OF FUTURE TEACHERS OF PHYSICAL CULTURE

The article examines the effectiveness of interdisciplinary integration in the training of future physical education teachers. The purpose of the article is to test the effectiveness of interdisciplinary integration in the training of future teachers of physical education. Research methodology includes: empirical methods: observations, questionnaires, pedagogical experiment is for checking the effectiveness of interdisciplinary integration in the training of future teachers of physical education; methods of mathematical statistics are for processing the results of experimental work. Analysis of the effectiveness of the implementation of interdisciplinary integration in the training of future teachers of physical education is based on a certain system of standards: pedagogical orientation, independence and professional maturity, which we used to diagnose their development by those activities that included students of the experimental group. After analyzing the data, it was found that students of the control and experimental groups have significant differences on such scales as: awareness, decision-making, planning and communication; as well as a positive trend on the scales: mnemonic, volitional and mental. According to the study, it can be said that future physical education teachers of the experimental group are more knowledgeable and confident in choosing their profession, they more rationally and adequately assess the situation and plan their future more thoughtfully than students in the control group.
Essence Of School Mathematics Education In Russia: Prospects Of Development

The problem of the contents of school mathematics education in Russia is being updated. In our days, as a result of several educational reforms, the situation has changed. More attention in Russian and foreign educational practice is paid to improving technologies, increasing students’ interest in mathematics, sometimes at the expense of proper training. The article describes current state of the quality of mathematical knowledge of students in Russia, which has tended to decrease in last years. The authors reveal lack of fundamental training, insufficient level of practice-oriented knowledge and skills, poor development of meta-skills; study attitudes of participants in the educational process to teaching mathematics, their opinions on the relevance of various components of the mathematics programme at school. The results of the study and an analysis of world educational trends led to the following conclusions about the prospects for the mathematics education in Russia. These shall include an update of the content aimed at the intellectual development of students; mastering fundamental mathematical knowledge and skills necessary for practical application, for the study of related disciplines, for continuing education; development of meta-skills required for a full life in society. The technologies of electronic and blended learning, considering the specifics of mathematical activity, are defined as a means of updating the content of mathematics education.
Predictive Analitycs Menggunakan Machine Learning Untuk Memprediksi Waktu Keterlambatan Berdasarkan Penyebab Keterlambatan Pada PT. Kereta Api Indonesia

Abstract - PT. Kereta Api Indonesia (KAI) is a company that regulates trains in Indonesia. Railways in Indonesia still often experience delays, especially in the Cibatu Purwakarta lane which will be the object of research in this study. This research is intended as an initial stage of applying machine learning to overcome the problem of tardiness by providing the best model for predicting tardiness and what things are causing the tardiness pattern. Machine learning models considered are decision tree regression, support vector machine regression, random forest regression, ensemble learning, and gradient boosting regression. From the best machine learning techniques, a model will be made to predict the delay based on the cause of the delay.&#x0D; Keywords – KAI, machine learning, predict the delay, cause of delay, Cibatu Purwakarta lane
Pentingnya penggunaan garam yodium untuk mengatasi anak pendek

Background: One of the nutritional problems in Indonesia is iodine deficiency which can cause IDD. Lack of iodine can result in mumps and cretin, mental retardation, birth defects, children who are less intelligent, and miscarriage in pregnant women. The community is expected to understand the effects of iodine deficiency and excess on health, so it is expected to reduce the number of sufferers of iodine deficiency and excess in Indonesia.Objective: The research aims to improve the behavior of mothers in using iodized salt towards the anticipation of short children. Methods: The study design was quasi-experimental, which was conducted on 30 housewives who had toddlers. The study was conducted from August to September 2018 in Lhoknga District. Pretest and posttest data related to behavior (knowledge, attitudes, and actions) were collected through interviews using a questionnaire. Data processing includes the stages of editing, coding, entry, and tabulating. Data analysis was performed bivariate, using t-dependent tests at 95% CI.Results: This study has shown that there is a significant difference (p= 0.000) between knowledge, attitudes, and actions of mothers before training and after training on the use of iodized salt in the household.Conclusion: The provision of educational training on the use of iodized salt through leaflet media apparently has a statistically significant effect
Personalized Procedural Content Generation for Increased Player Agency

My interest is in the intersection between AI directors, player modeling, and procedural content generation. Using a combination of these tools, I believe that we can expand the space of tellable stories to create a story that is completely driven by the player’s actions in the game. There are two use cases for this work. The first is adding additional content to an open-world game by letting the player influence the world after the main story is completed, which would help address the problem of replayability. The second is to allow the player to create a completely personalized story from the beginning of the game, using the starting situation of the game as if it was the start of a simulation.
ANALISA PERANCANGAN SISTEM INFORMASI PENDAFTARAN MAGANG KERJA MENGGUNAKAN WATERFALL

The development of technology and communication greatly helps the performance and business processes of an organization. Its development must result in benefits for the organization in obtaining information, as well as assisting the organization in carrying out the required business processes so as to help organizational managers make decisions. Changes in the form of business processes that are used with the development of technology and communication are expected to be able to encourage organizations to have better management. The management of this Field Work Apprenticeship activity still uses manual methods in some of its business processes, so that the benefits of technological developments and communication are not used. Researchers assess and consider the need to develop an information system for Field Work Apprenticeships using the Waterfall method. The test results show that the system is able to carry out the Field Work Apprenticeship business process easily without having to use manual methods such as registering to take part in the Apprenticeship, displaying the information needed in the Apprenticeship activities, manipulating the data used to be used in Internship activities.
Confidentiality, Integrity And Accessibility In The Distance Education System

At the present time, there is no doubt and practically confirmed that distance education is presently topical and top-requested mode of study in completely unexpected situations. The necessity to establish a self-isolation regime has led to the need for a large number of training sessions in the distance learning mode. The experience of distance training application revealed critical moments and challenges in the system of organization and management of the distance education process. In particular, problems appeared in the field of security of distance education in the broad sense of the term. In this work, we will consider the main problems and possible solutions to the main aspects of the distance education security. In particular, the possibilities of cryptographic transformations and protocols application to ensure reliable students' authentication as well as integrity and accessibility of educational and test materials and blockchain technology use to provide the safety of assignments, presence at lecture courses, participation in practical exercises information are considered.
Cross Domain Adaptation using A Novel Convolution Neural Network

Sentiment analysis has been widely researched in the recent times, especially with the advent of supervised machine learning and deep learning techniques.These supervised learning techniques require large amount of annotated data for working efficiently.But, this annotation of data for all the different products present in the market is an expensive prospect.Hence, a model or a system is required which trained on a particular domain should work in a cross domain environment as well.The presence of many inherent challenges makes cross domain sentiment analysis highly inaccurate.The paper proposes a novel deep learning architecture for cross domain adaptation.After extensive experimentations with different parameters, like the number and placement of convolution layers and pooling layers, and hyper parameters, like the number and size of filters and that of windows, a multi-layered convolution neural network has been proposed which produces a comparatively more accurate cross domain adaptation results.The proposed system has been analysed and compared with state-of-the-art cross domain sentiment analysis systems and has shown to produce better results.
Library Service Innovation Based on New Information Technology

The development of new information technologies changes and affects the services in libraries. In this article, taking the interactive experience space “Tsinghua Impression” as an example, the authors analyzed the application of many new technologies in the information resource construction and information service of library and explained how to use multimedia, touch screens, 3D, and other technologies to enhance collections and services. They probed the new information technologies to promote the service innovation of the library in order to provide reference for the service innovation of the university libraries.
Formation of readyness of future primary school teachers for pedagogical interaction with student team

Skrypnyk N. I. Formation of monological and dialogical speech of future teachers of the Ukrainian languageThe research is devoted to the study of the peculiarities of teaching monologue and dialogic speech to students-philologists in classes on Ukrainian-language disciplines in higher education.The urgency of the problem of forming dialogic and monologue speech of students of the Humanities and Pedagogical College is due to the requirements of modern society to specialists of a new type.It was found that the most important components that form the basis of student's speech competence are the ability to adequately perceive dialogic speech by ear, to conduct a dialogue in compliance with the requirements of Ukrainian speech etiquette (in a friendly circle, in conversation with group mates, in contact or distance communication).The author of the studies is convinced that the use of the studied material in new language situations should be considered as a basis for teaching monologue speech.In the classes it is necessary to form the skills of both unprepared and prepared speech of these forms.The content and structure of monologue and dialogic speech are revealed.The article examines monologue and dialogue as forms of speech formed as a result of active human speech activity.Emphasis is placed on the fact that dialogic and monologue speeches are characterized by reversibility, but it has been shown that dialogic speech is more closely related to the situation of communication than monologue speech.It is proved that dialogic speech, in contrast to monologue, cannot be planned in advance, it is usually spontaneous, because the speech behaviour of each communicator of the dialogue largely depends on the speech behaviour of the partner.Communication in the native language is possible under the condition of free use of subjects of language interaction as the most important way of communication, and therefore to form in future specialists of philological profile proper speech culture, developed language, linguistic, speech and communicative competences only if they understand that they have acquired competencies will allow them to skilfully use the language in professional activities.
On Optimization Techniques for the Construction of an Exponential Estimate for Delayed Recurrent Neural Networks

This work is devoted to the modeling and investigation of the architecture design for the delayed recurrent neural network, based on the delayed differential equations. The usage of discrete and distributed delays makes it possible to model the calculation of the next states using internal memory, which corresponds to the artificial recurrent neural network architecture used in the field of deep learning. The problem of exponential stability of the models of recurrent neural networks with multiple discrete and distributed delays is considered. For this purpose, the direct method of stability research and the gradient descent method is used. The methods are used consequentially. Firstly we use the direct method in order to construct stability conditions (resulting in an exponential estimate), which include the tuple of positive definite matrices. Then we apply the optimization technique for these stability conditions (or of exponential estimate) with the help of a generalized gradient method with respect to this tuple of matrices. The exponential estimates are constructed on the basis of the Lyapunov–Krasovskii functional. An optimization method of improving estimates is offered, which is based on the notion of the generalized gradient of the convex function of the tuple of positive definite matrices. The search for the optimal exponential estimate is reduced to finding the saddle point of the Lagrange function.
Self-Service Technology and the Impact on Academic Libraries: A Perspective Piece by an Access Services Specialist

Self service technology (SST) is inundating the library world with more efficient forms of service for the library user experience. There are different types of SST and each type creates challenges and opportunities in the academic library. This multi-varied approach provides quality support to users who are unfamiliar with the technology, and offers time expediency to those who are adept at using SST. This persuasive paper will show what Kansas academic libraries currently have in the form of SST and encourage libraries to adopt new methods of service. The goal is to get you excited about SST and relieve any apprehension about implementing new technology in your academic library.
Does the Human Brain Resort to AI's Deep Learning in Order to Solve Problems

Problem solving is a daily occurrence in business and, also, in human brains. Businesses resort to a variety of modes in order to find an answer to these problems.Human brains adopt, also, a variety of measures to solve their own brand of problems. Artificial Intelligence technologies seem to have been extending a helping hand to business in the search for problem solving mechanisms. Machine learning and deep learning are currently recognized as prime modes for business insight and problem solving. Does the human brain possess competencies and instruments that could compare to the deep learning technologies adopted by AI?
Intelligent Distance Learning Systems

Models used for creating intelligent systems based on artificial non-chromic networks indicate to the teachers which educational as well as teaching activities should be corrected. Activities that require to be corrected are performed at established distance learning systems and thus can be: lectures, assignments, tests, grading, competitions, directed leisure activities, and case studies. Results regarding data processing in artificial neural networks specifically indicate a specific activity that needs to be maintained, promoted, or changed in order to improve students’ abilities and achievements. The developed models are also very useful to students who can understand their achievements much better as well as to develop their skills for future competencies. These models indicate that students’ abilities are far more developed in those who use some of the mentioned distance learning systems in comparison with the students who learn due to the traditional classes system.
Purwarupa Alat Deteksi Ketinggian Banjir Perbantuan SMS Gateway Dan Mikrontroler

&lt;em&gt;Flood disasters still occur regularly and continuously in Indonesia. Flooding can occur due to the volume of water in the river beyond the river body. Many impacts caused by flooding, not only material losses, flooding can also cause loss of life. The impact of flooding can be reduced if people are better prepared to face the flood. One way is to quickly disseminate information on river water levels to the community. It is necessary to make a solution on how to design an automatic sluice using Arduino UNO R3 and how to monitor the water situation during floods. The working principle of this tool uses an ultrasonic sensor as a water level detector, Arduino as a data processor, servo motor as opening and closing the door bar automatically and the modem as an SMS notification. Because design based detection system is needed In this study there are two formulations of the problem (i) How to design flood altitude detection devices using Arduino uno r3 which can open and close automatically. (ii) How to test the flood altitude detection system using a wavecome modem. The research objective is divided into two parts (i) Creating a series of flood elevation devices using Arduino r3 so that it can open and close automatically (ii) Gets the results of flood elevation system testing with an sms gateway&lt;/em&gt;
Activity Self-Regulation and Anxiety Level in Avocational and Professional Musicians

A comparative study was established, considering the various characteristics of activity self-regulation, as well as their comparison with the levels of anxiety in musicians, depending on their specialization, as well as professional status. It was established that professional vocalists have clearer ideas about their capabilities, as well as a higher level of personal anxiety than avocational vocalists. Professional instrumentalists are less anxious and more collected at the time of execution than avocational instrumentalists or vocalists. Professional musicians, unlike avocational musicians, have a higher level of anxiety and less pronounced self-control of the self-regulation dynamics. The data obtained are of particular importance for students of musical educational institutions, as they emphasize the importance of maintaining control over the level of anxiety in order to increase their professional status. Establishing the degree, showing development of self-regulation skills and the level of anxiety, can be useful for a musician, as it will help to identify a number of possible problems that have a destructive or inhibitory effect on professional skills.
Research on Hyperbola Fitting Algorithm for Turbulence Level Measurement Test Data

Hyperbola fitting of test data is an extremely important process in turbulence level measurement test in wind tunnels. The solution of the overdetermined equations (SOE) method is often used to solve hyperbola fitting parameters to obtain turbulence level. However, due to unsteady flow characteristics, the SOE method often results in overfitting phenomena, which makes it impossible to solve turbulence level accurately. This paper proposes using the constrained least-squares (CLS) method to convert the problem of hyperbola fitting of test data into the inequality constrained optimization problem and then using the Lagrange programming neural network (LPNN) method to solve turbulence level iteratively. The stability of the LPNN method is analysed, and three sets of typical turbulence level measurement test data are processed using the LPNN method. The results verify the feasibility of applying the LPNN method to iteratively solve the turbulence level of wind tunnels.
Assessment Of Professional Competencies Of Mentors In The Engineering Profile Of Schoolchildren

In conditions of the introduction of the national system for assessing its quality, the implementation of new requirements for the quality of training of school and university graduates, the emphasis on advanced training is becoming the most important feature of modern professional teacher education. This article reveals the necessity of training a mentor of engineering and technological profile for preparing pupils. The existing scientific, theoretical and practical achievements and innovations in local and foreign practice in the field of mentor training are listed. The system-oriented analysis of pedagogical research, program and legal documents in the field of engineering and technology education has made it possible to determine the composition of professional competencies, considered as the requirements for the results of training mentors. It determines the success of the teacher as a mentor in the implementation of modern educational standards, initiatives and strategies at the level of general profile, additional and higher education. The assessment of professional competencies of future teachers-mentors for pupils’ engineering and technological training in conditions of basic and additional education are highlighted. The author’s approach to the mechanism of their assessment is proposed, it includes diagnostic tools. In order to assess professional competencies of the teacher-mentor, cases including interconnected practice-oriented tasks of a meta-subject nature, have been selected and described as the necessary means. The implementation of the author's approach to assessment of professional competencies will contribute to improving the quality of engineering and technological training in line with general and additional education of pupils.