Reviewerly/exHarmony huggingface dataset:
DIAGNOSTIC TOOLS FOR DETERMINATION OF LEVELS OF FORMATION OF CREATIVE SKILLS OF JUNIOR SCHOOLCHILDREN

The urgency of the problem of development and diagnostics of creative skills of junior schoolchildren is substantiated in the article. The purpose of scientific work is to determine the criteria, indicators and diagnostic tools for the levels of formation of creative skills of junior high school students. The research methods determine the theoretical analysis and generalization of literature sources, in order to reveal the theoretical and practical aspects of the outlined problem. In particular, the article highlights the essence of the concepts: “skill”, “pedagogical diagnosis”, “criterion”, “indicator”; types of creative skills are covered. The essence of the criteria for the formation of creative skills of primary school students is determined and revealed: motivational-personal, theoretical-informational, practical-activity and communicative-creative. Indicators of formation of creative skills of junior schoolchildren are developed, according to the offered criteria. Three levels of formation of creative skills of junior schoolchildren are singled out and characterized: high, sufficient and elementary. Pedagogical and general scientific methods for the ascertaining stage of the experiment are selected: pedagogical observation, questionnaires, testing, analysis of creative activity products, methods of statistical data processing. Diagnostic methods are determined according to each criterion. It is established that diagnostics should be aimed at the activity and consideration of mental operations, cognition strategies and not be limited to the analysis of the result of activity. The requirements that must be met during diagnostic procedures are highlighted. The results of the study show that the criteria and indicators are the basis for the selection of diagnostic tools for the formation of creative skills of primary school children, whose role is important during the experimental study.&#x0D; Keywords: creative skills; pedagogical diagnostics; criteria; indicators; levels of formation of creative skills; experiment; diagnostic methods; junior schoolchildren.
An implementation of Hill cipher and 3x3x3 rubik's cube to enhance communication security

Message security is must be managed seriously. Therefore, to maintain the confidentiality of any message, cryptography is needed. Cryptography is a science that uses mathematics to encrypt and decrypt messages. Cryptography is used as a tool to protect messages, for example, national secrets and strategies.Â The method of this research is qualitative research with a literature review. This research implements a hybrid cryptographic algorithm by combining Hill cipher and 3x3x3 Rubik's cube methods with Python software simulation.
Specificity of the actor's skill in the context of post-dramatic theater productions

The purpose of the article is to identify the features and determine a promising theoretical and practical approach to acting in the context of the specifics of post-dramatic theater. Methodology. An analytical method was applied to identify domestic and foreign scientific works on the theory of post-dramatic theater; the method of systems analysis and synthesis, thanks to which the approaches and methods of actor's mastery developed by K. Stanislavsky are considered in the context of dramatic and post-dramatic theater, with their inherent originality; the method of historical and cultural analysis and the comparative method, on the basis of which the differences in acting in the performances of dramatic and post-dramatic theater are revealed. Scientific novelty. The skill of the actor of the post-dramatic theater was investigated; the features of acting perception and practice of playing in performative practice are revealed; a promising theoretical and practical approach to acting, corresponding to the specifics of post-dramatic theater, is proposed; the expediency of using certain principles of the Stanislavsky system in search of new methods of acting by an actor in post-dramatic theater has been proved. Conclusions. A wide range of types of theatrical practices at the present stage of the development of the performing arts has led to the transformation of acting perception and acting. The post-dramatic theater offers the viewer not only the image of the hero but also the special existence of the actor, which is defined as “presence” and is the result of work on the material, the theme of the performance. In the context of the specifics of post-dramatic theater, in our opinion, a proactive approach is appropriate, providing for the rejection of prejudices and adherence to a single system, discourse or practice and cultivates a critical awareness of acting as a multiple and variable. This approach will contribute to the implementation of a certain set of actions - historically and procedurally considered and comprehended by the actor "absolute" while being part of the plurality. For example, the study showed that for the development of the actor's skill in certain types of post-dramatic theater, it is extremely useful to use certain aspects of the Stanislavsky system, in particular, the development of an actor's inner creative state of body and mind becomes extremely important.
Video-based Data Hiding by Exploring Prediction Error and Histogram Shifting

Information has been crucial in supporting daily activities.Many tasks must be accomplished by transferring not only public but also private information.This situation has brought the necessity for protecting it during transmission.Some mechanisms introduced, like data hiding, are still challenging, considering the quality of the data and the secret size can be protected.This research presents a reversible data hiding method for digital video based on prediction error and histogram shifting to approach those problems.There are six kinds of prediction errors used, three are created from two adjacent frames, and three are from a single frame.The selection of the shift location is determined by the histogram location, which has the highest peak point.The histogram is obtained by calculating the frequency of the subtraction of each value from its predicted value.The PSNR calculated from the stego and the original videos has an average of 73.45 dB.This value demonstrates that the proposed method outperforms the previous research.
The Ethics of Controllability as Influenceability

We present a logical analysis of influence and control over the actions of others, and address consequential causal and normative responsibilities. We first account for the way in which influence can be exercised over the behaviour of autonomous agents. On this basis we determine the conditions under which influence leads to control on the implementation of positive and negative values. We finally define notions of causal and normative responsibility for the action of others. Our logical framework is based on STIT logic and is complemented with a series of examples illustrating the application. Our analysis applies to interactions between humans as well as to those involving autonomous artificial agents.
Utilization of Interactive Multimedia Android-Based Archiving Towards Learning Independence

This research aims to find out the use of interactive multimedia archiving based on android and its effect on the learning independence of vocational learners. Research is a type of research and development (R &amp; D). Research methods using experiments are pretend experiments (Quaisy experiment). The research was conducted at Vocational High School Surakarta City in April-June 2021. The population in this study is all students of class X Vocational High School Surakarta school year 2020/2021. The sample used was 1 control class and 1 randomly selected experimental class. All treatment will be given to the same control class and experimental class except on the use of interactive multimedia archival based on android. Interactive multimedia android-based archival was successfully applied in the learning of class X OTKP. There is a significant difference in the increase in learning independence between experimental classes that use interactive multimedia android-based archival and control classes that do not use interactive multimedia android-based archival in the archival learning class X OTKP in Vocational High School Surakarta City school year 2020/2021. Interactive multimedia android-based archiving can be used as one of the alternative learning media that can be used to increase the independence of learning learners.
SMART LEARNING TECHNOLOGIES IN FOREIGN LANGUAGE TEACHING

The article considers the issue of teaching a foreign language to students of high-level institutions. The purpose of the article is to investigate the educational potential of TED Talks as a powerful tool that can be effectively used for preparing future professionals to communicate in an academic and professional environment. The democratic, apolitical and unpredictable nature of the TED Talks platforms was emphasized, as well as the value of this project in expanding the students’ worldview. The significance and relevance of the TED Talks project are substantiated. It is emphasized that the videos meet modern requirements for the formation of skills, competencies, and values, such as creativity, critical thinking, communicative visibility, media literacy, flexibility, etc. The main methods used in the article are divided into theoretical (analysis, synthesis, comparison, generalization, modeling, classification) and empirical (document analysis, expert survey). The advantages of using and the urgency of implementation TED Talks presentations as educational material in English classes are outlined; the usefulness for students' socio-cultural development, vocabulary expansion, improvement of listening, reading, speaking skills, as well as the ability to make presentations and note what is heard is revealed. The analysis of numerous videos allowed us to determine the main criteria for video selection. We concluded that one of the main tasks of modern education is to create a stable students’ motivation to acquire knowledge, the other is to find new forms and tools for mastering this knowledge through creative solutions. The use of Smart learning technologies opens up many new opportunities in learning, which improve students' concentration, speed up a mastering of learning material and as a result, increase the success of each student.
THE ONTOLOGICAL TRIANGLE OF THE RELATIONAL PARADIGM

The philosophical analysis of three main paradigms in the basis of physical knowledge is carried out. It is permissible to conclude that in the case of electromagnetic interaction between the emitter and the absorber: 1) the process of interaction of the photon with the medium in space and time can occur; 2) in the case when the photon “teleports” - there is only a relation outside of space and time. The following classification of fundamental concepts, with which the relational paradigm deals, is revealed. The ideal: space and time, field, information, a set of movements of quantum particles. The material: interactions, environment. Nothing more than countable: time, electromagnetic interactions. Uncountable: space, environment, interactions with the environment, a set of movements of quantum particles. Substantial: environment, interactions, information, a set of movements of quantum particles. Relational: space, time, field - as a means of description.
PENERAPAN k-MODES CLUSTERING DENGAN VALIDASI DUNN INDEX PADA PENGELOMPOKAN KARAKTERISTIK CALON TKI MENGGUNAKAN R-GUI

Prospective TKI workers who apply for passports at the Immigration Office Class I Non TPI Pati have countries destinations and choose different PPTKIS agencies. Therefore, the grouping of characteristics prospective TKI needed so that can be used as a reference for the government in an effort to improve the protection of TKI in destination countries and carry out stricter supervision of PPTKIS who manage TKI. The purpose of this research is to classify the characteristics of prospective TKI workers with the optimal number of clusters. The method used is k-Modes Clustering with values of k = 2, 3, 4, and 5. This method can agglomerate categorical data. The optimal number of clusters can be determined using the Dunn Index. For grouping data easily, then compiled a Graphical User Interface (GUI) based application with RStudio. Based on the analysis, the optimal number of clusters is two clusters with a Dunn Index value of 0,4. Cluster 1 consists of mostly male TKI workers (51,04%), aged ≥ 20 years old (91,93%), with the destination Malaysia country (47%), and choosing PPTKIS Surya Jaya Utama Abadi (37,51%), while cluster 2, mostly of male TKI workers (94,10%), aged ≥ 20 years old (82,31%), with the destination Korea Selatan country (77,95%), and choosing PPTKIS BNP2TKI (99,78%).
Lossy Compression for Visualization of Atmospheric Data

Lossy compression is a data compression technique that sacrifices precision for the sake of higher compression rates. While loss of precision is unacceptable when storing simulation data for check pointing, it has little discernable impact on visualization. Saving simulation output for later examination is still a prevalent workflow. Domain scientists often return to data from older runs to examine the data in a new context. Storage of visualization data at full precision is not necessary for this purpose. The use of lossy compression can therefore relieve the pressure on HPC storage equipment or be used to store data at higher temporal resolution than without compression. In this poster we show how lossy compression was used to store visualization data for the analysis of a supercell thunderstorm. The visual results will be shown as well as details of how the compression was used in the workflow.
Edtech Companies In Russia And Their Impact On The Lifelong Learning Trend

The following study has as its main research object EDtech companies in Russia and their impact on the lifelong learning trend.The development of technologies and the shortening of the life cycle of professions have led to the obsolescence of the classical model of education "school-university".It was replaced by the concept of lifelong learning.The pandemic has affected all areas of life, and especially the need for new digital products for education has increased.In quarantine, people have more free time to engage in self-education.The popularization of online courses is helped by the fact that many projects at the time of the pandemic opened free access to their resources.This work studies the concept of lifelong learning, its role and place in modern Russian Federation and various formats of its introduction in the Russian EDtech system.Digital technologies and the inevitably following global transformations present new requirements for the basic skills that a modern person needs for successful socialization.The article is devoted to the development of digital education in Russia and its impact on the desire to educate the population as part of social integration.The main content of the study is the analysis of data from the Russian EdTech market, trends in education that have emerged with the development of technology, considering the opinions of recognized experts in the field of digital education.
Appending Security Theories to Projects in Upper-Division CS Courses

Software systems have been under continued attacks by malicious entities, and in some cases, the consequences have been catastrophic. To tackle this pervasive problem, the academic world has significantly increased the offering of computer security-related courses during the past decade. In fact, offering these courses has become a standard part of the curriculum for many computing disciplines. While many proposals suggest adding this appealing topic into the nonsecurity CS courses, many faculties do not entirely support the idea for a convincing reason. They rightfully claim that each one of these courses is already packed with concepts and materials developed toward that course, leaving not much room for other topics. In this study, we show how exposing students to security concepts can be incorporated into upper-division CS courses without increasing the normally required efforts needed by students as well as the instructor. We show how to develop a project of this nature that can be appended to an already existing course project. We have successfully employed our proposed approach in two of our core CS courses and present them in this paper as case studies.
Text Mining for Cyberbullying Detection: a Brazilian Portuguese Evaluation

Bullying and cyberbullying are words commonly seen in today&amp;apos;s news. Although the scientific community has evaluated text mining techniques for cyberbullying detection, few studies have targeted Brazilian Portuguese datasets. Our study aims to assess the text mining application to detect cyberbullying messages written in Brazilian Portuguese. We gathered posts and comments from Reddit communities and extracted several text features. We then processed these features using Naïve Bayes and SVM classifiers to uncover cyberbullying activity. The outcomes of this experiment may not be used solo for cyberbullying detection; however, they can aid moderators in prioritizing content reviews and acting faster on real cyberbullying cases.
Safe Driving Of Autonomous Vehicles Through Improved Deep Reinforcement Learning

In this thesis, we propose an environment perception framework for autonomous driving using deep reinforcement learning (DRL) that exhibits learning in autonomous vehicles under complex interactions with the environment, without being explicitly trained on driving datasets. Unlike existing techniques, our proposed technique takes the learning loss into account under deterministic as well as stochastic policy gradient. We apply DRL to object detection and safe navigation while enhancing a self-driving vehicle’s ability to discern meaningful information from surrounding data. For efficient environmental perception and object detection, various Q-learning based methods have been proposed in the literature. Unlike other works, this thesis proposes a collaborative deterministic as well as stochastic policy gradient based on DRL. Our technique is a combination of variational autoencoder (VAE), deep deterministic policy gradient (DDPG), and soft actor-critic (SAC) that adequately trains a self-driving vehicle. In this work, we focus on uninterrupted and reasonably safe autonomous driving without colliding with an obstacle or steering off the track. We propose a collaborative framework that utilizes best features of VAE, DDPG, and SAC and models autonomous driving as partly stochastic and partly deterministic policy gradient problem in continuous action space, and continuous state space. To ensure that the vehicle traverses the road over a considerable period of time, we employ a reward-penalty based system where a higher negative penalty is associated with an unfavourable action and a comparatively lower positive reward is awarded for favourable actions. We also examine the variations in policy loss, value loss, reward function, and cumulative reward for ‘VAE+DDPG’ and ‘VAE+SAC’ over the learning process.
DIGITAL TECHNOLOGIES IN THE FORMATION OF MODELS OF TRANSIENTS IN INDUCTANCE AND CAPACITANCE

An important role in the formation of qualitative knowledge of physics in the modern education system is played by students` ability to present the processes being studied at a qualitative level. Formation of students' abilities and skills to construct figurative physical models, finding mathematical dependences between physical quantities is one of the urgent problems of physics teaching methods. Our research is devoted to the problem of the formation of high-quality imaginary models of physical processes among physics students on the basis of an educational experiment and digital technologies. To improve the quality of teaching physics, the necessity of forming physical and mathematical models of the studied processes among future specialists is substantiated. On the example of experimental study of processes occurring in DC circuits, which contain inductors and capacitors, a method of forming their imaginary and mathematical models is proposed. A digital measuring system with a personal computer was used in the research. It is proved that conducting a physical experiment with simultaneous display of research results in the form of tables and graphs contributes to the formation of a qualitative level of physical models. To form students' skills of building mathematical models of the studied processes, it is proposed to use software that allows to analyze the results of the experiment. The analysis of graphs of the studied processes allows to select mathematical dependences and to calculate necessary coefficients. The use of digital technologies and related programs provides a quick finding of mathematical models. Changing the parameters of the studied objects while finding the corresponding mathematical dependencies allows students to establish relationships between mathematical symbols and physical quantities. This approach provides students with the ability to find mathematical models of these processes or objects. The results of the implementation of the proposed method showed that the use of digital measuring systems in the educational physical experiment significantly improves the quality of students' learning of new material. Key words: physical experiment, model, digital technologies, extra current, inductance, capacitance.
Predict A Person's Personality Based On The Shape of Handwriting of The Letters "i", "o", and "t" Using The Levenberg Marquardt Backpropagation Method

Abstract-The literature shows that Graphology is common and relatively useful in our life. For example, as one of the job requirements. Professional organizations hire a professional handwriting analyst called Graphologist to analyze the characteristic traits of the candidates by identified their handwriting. However, the accuracy of handwriting analysis depends on how skilled the graphologist is, two graphologists which predict the same handwriting may give us a different result of the prediction. To improve the accuracy, we develop a system that can automatically predict a person’s personality based on the shape of the handwriting of the letters "i", "o", and "t" using the Levenberg Marquardt Backpropagation method. Based on this research we got the maximum accuracy by using 2 hidden layers. We got 71,42% of accuracy for the letter “i”, 76,92% of accuracy for the letter “o”, and 60% of accuracy for letter the “t”.
Analysis of Intentional Noise Insertion Approach on the Copy-Move Forgery Detection in Digital Image

In this digital age, there has been ever-increasing trend on the amount of digital image data.On the other side, in parallel with this situation, image tampering and manipulation attacks have become widespread by the use of various image editing software packages.It means that digital image data have become more vulnerable to tampering or manipulation through forgeries.Copy-move duplication is a type of image forgery involving the process of copying and then pasting an image part from one region to another location within the same image.This paper proposes a novel enhancement on the copy-move forgery detection algorithms.The proposed strategy is based on adding specific noise on the image in order to reach more robust detection.It is observed from the experimental results that, with the specific noise insertion, the copy-move forgery detection algorithms can obtain better performances in comparison to conventional methods.It is found at image level that, by the proposed strategy, with 25×25 blocks, 94.16% accuracy rate is reached.The proposed approach also provides to have reasonable precision and recall values, 92.51% and 96.11%, respectively when compared to existing algorithms.