Reviewerly/exHarmony huggingface dataset:
Designing of I – BOT for Stress Relief

Abstract: A Chatbot is a software application used to conduct an online chat conversation via text or text-to- speech, rather of furnishing direct contact with a live human agent. Designed to convincingly pretend the way a human would bear as a conversational mate. In the proposed system, we presented a chatbot that generates a positive response to user queries. The Proposed System is grounded on Artificial Intelligence Chatbot. This chatbot provides a vast intelligent base that can help pretend problem- solving for humans. We can help if the user has any problems or he wants to share something then our chatbot understands their problem and gives a positive reply to them. Keywords: Chatbot, Artificial Intelligence, human agent
Developing Pedagogical Mastery in Future Physical Education Teachers in the Context of Postmodern Paradigm of Education

Improving the efficiency of training of specialists with higher education who have a high level of professional qualification and are able to take an active position in their professional activities at the present stage is one of the primary strategic objectives of the educational policy and the main goal of higher physical education institutions. The leading place in the system of training specialists in this area is occupied by pedagogical disciplines, the study of which lays the foundations of pedagogical skills, which determine the professional and pedagogical readiness of graduates for future activities. On the other hand, the postmodernist paradigm of education is a cross-cultural and synchronously oriented phenomenon, an important component of which is world physical culture and sports, which adds relevance to the study. The author’s technique for formation of pedagogical skill in future teachers of physical culture on the basis of integrated development is stated in the article.
The Nature of and Conditions for Building the Poly-Art Competency in art Teaching Specialties

The relevance of the initiated research is determined by a few dominating challenges of modern art and pedagogical education. In particular, these are the interaction between the participants in the educational process, given the spread of the pandemic; insufficient development of ways to form the professional competence in students of art and pedagogical specialties; the inertia of art and pedagogical education and, as a consequence, the slow introduction of innovations in higher education; the insufficient reflection of the principles of poly-arts education in art and pedagogical studies. The nature of poly-arts competence in specialists of art and pedagogical direction specialists has been redefined and adjusted. This competence is interpreted as an integral professional quality of personality. The methodical conditions of its formation have been outlined, embracing the updating of the educational process, use of interactive technologies and methods of personality-oriented learning, the introduction of integration of different levels, etc. Neuropedagogical prerequisites of formation of poly-artistic competence for students of art and pedagogical directions are defined. We have also identified interrelated and complementary aspects of poly-artistic competence (cognitive, reflexive, methodological and procedural), as well as directions of their development. Prospects for further research lie with the development of the methodological formation of poly-artistic competence for students in art and pedagogical specialties and the subsequent testing of its effectiveness in an actual educational process.
The Theatre of Mind: An educational tool of teaching Emotional Intelligence via ICTs and distant learning

The aim of this paper is to provide a different approach in the educational process, introducing “The Theatre of Mind” - a term that we use instead of the term tabletop Role Playing Games (tRPGs)- as a powerful interdisciplinary educational tool with a view to cultivating and developing the emotional intelligence of students. According to this approach, my intention is to indicate how the use of the Theatre of Mind in the educational environment can be an integral asset; not only in teaching school’s subjects (ex. Language, History, Physics etc.) but also in teaching behavior, culture, ideals, and ethical values. Therefore, it aims at student's mental and emotional stimulation targeting the integration of mental and emotional process emphasizing the latter. Thus, the Theatre of Mind may provoke and develop concrete emotions, manners and behavior through simulating real life. It is a method that may provide a unique experience for the student. Concluding, I suggest that the Theatre of Mind due to its nature and by means of a special design can function as the field where learners will deal with a holistic cultural experience monitoring and developing emotional intelligence even in distant learning.
Online Social Networks Misuse, Cyber Crimes, and Counter Mechanisms

Online social networks (OSNs) are nowadays an indispensable tool for communication on account of their rise, simplicity, and efficacy. Worldwide users use OSN as a tool for social interactions, news propagation, gaming, political propaganda, and advertisement in building brand awareness, etc. At the same time, many OSN users unintentionally expose their personal information that is used by the malicious users and third-party apps to perform various kind for cyber-crimes like social engineering attacks, cyber espionage, extortion-malware, drug-trafficking, misinformation, cyberbullying, hijacking clicks, identity theft, phishing, mistrusts, fake profiles, and spreading malicious content. This chapter presents an overview of various cyber-crimes associated with OSN environment to gain insight into ongoing cyber-attacks. Also, counter mechanisms in the form of tools, techniques, and frameworks are suggested.
Design and Implementation of Distributed Identity and Access Management Framework for Internet of Things (IoT) Enabled Distribution Automation

The smart grid and Internet of Things (IoT) technologies play vital roles in improving the quality of services offered in traditional electrical grid. They open a room for the introduction of new services like distribution automation (DA) that has a significant advantage to both utility companies and final consumers. DA integrates sensors, actuators, intelligent electrical devices (IED) and information and communication technologies to monitor and control electrical grid. However, the integration of these technologies poses security threats to the electrical grid like Denial of Service (DoS) attacks, false data injection attacks, and masquerading attacks like system node impersonation that can transmit wrong readings, resulting in false alarm reports and hence leading to incorrect node actuation. To overcome these challenges, researchers have proposed a centralized public key infrastructure (PKI) with bridged certificate authority (CA) which is prone to DoS attacks. Moreover, the proposed blockchain based distributed identity and access management (DIAM) in IoT domain at the global scale is adding communicational and computational overheads. Also. It is imposing new security threats to the DA system by integrating it with online services like IoTEX and IoTA. For those reasons, this study proposes a DIAM security scheme to secure IoT-enabled distribution automation. The scheme divides areas into clusters and each cluster has a device registry and a registry controller. The registry controller is a command line tool to access and manage a device registry. The results show that the scheme can prevent impersonated and non-legitimate system nodes and users from accessing the system by imposing role-based access control (RBAC) at the cluster level.&#x0D; Keywords: Distributed Identity and Access Management; Electrical Secondary Distribution Network; Internet of Things; IoT Enabled Distribution Automation; Smart Grid Security
Spyware

Abstract: Spyware do the task of observance and recording of user actions, within the field of knowledge security or cyber security. as well as the utilization of applications, windows opened, system commands dead, checkboxes clicked, text entered/edited, URLs visited and nearly each everything on-screen event to guard knowledge by guaranteeing that staff and contractors area unit performing arts their allotted tasks and not motion any risk to the organization area unit all captured and recorded within the system by the Spyware. Video-like playback of user activity and method the videos into user activity logs that keep gradual records of user actions which will be searched and analysed is delivered by the User Activity observance System to research any out-of-scope activities. making a visible record of probably risky user activity area unit all concerned in Visual Forensics. every user action is logged, and recorded. Once a user session is completed, Spyware creates a written account further as visual record. It may be screencaptures/screenshots or video of specifically what quite activity a user has done. This written account of our Spyware differs from that of a SIEM or work tool, as a result of it captures knowledge at a user-level not at a system level –providing plain English logs instead of System Logs (which is originally created for debugging purposes). These matter logs may be accustomed try with the corresponding screencaptures/screenshots or video summaries. Mistreatment these corresponding logs and pictures, the visual forensics element of Spyware permits for organizations to look for precise user activity just in case of a security incident. within the case of a security threat, i.e. {a knowledge|a knowledge|an information} breach or data leak, visual Forensics area unit accustomed show specifically what quite activity a user has done, and everything resulting in the incident. Visual Forensics may also be accustomed give proof to any enforcement that investigate the intrusion or leak.
Energy Efficiency and Resource Management in IoT

With a radical growth in population over the past few decades requires feasible, effective, and smart resolutions in all aspects. Recent studies say that all over energy sources are forced by the growth of 57% over the next 25 years. Internet of things (IoT) helps in providing modern and ubiquitous methods regarding the application. The energy demand for the IoT-based application is being increased both in requirements and needs. Effective energy management is considered as a primary criterion for the proving cost-efficient in complex energy and power modules in recent times. IoT enables a diver’s number of utilizations in various sectors. This chapter audits the current writing on the utilization of IoT in vitality frameworks, when all is said in done, and with regards to brilliant lattices especially. Moreover, we talk about empowering innovations of IoT, including distributed computing and various stages for information investigation. Besides, we audit difficulties of sending IoT in the vitality part like security, with certain answers for these difficulties, for example, blockchain innovation. This study gives vitality financial experts, and directors with a review of the job of IoT in the enhancement of vitality frameworks. This part manages the vitality the executives, vitality strategy producers, vitality market analysts, vitality financial specialists, administrators with a review of the job of IoT in the improvement of vitality frameworks.
Uses of Learning Media for Improving the Use of Proverbs in Communication of Students with Vision Disabilities

The purposes of the study were (1) to develop a learning media for improving the use of proverbs in the communication of students with vision disabilities, (2) to study the effect of the developed media on the use of proverbs in the communication of students with vision disabilities, and (3) to study students’ satisfaction toward the developed media. The study was divided into two phases the development of learning media and the implementation of the media. The participants were a group of 5 scholars in related areas employed in developing the learning media and a group of 7 visually impaired students employed in the implementation phase. The instruments were a learning media developed in an audiobook in the DAISY system, a media evaluation form, a pre-posttest, and a questionnaire. The data were analyzed using the mean score, standard deviation, t-test, and content analysis. The results of the study show that (1) the learning media for improving the use of proverbs in the communication of students with vision disabilities was designed in an audiobook in the DAISY system and evaluated to be appropriate by experts in the area; (2) The developed learning media was effective in developing the use of proverbs in the communication of students with vision disabilities; (3) the developed learning media could bring about satisfaction in learning to a language class of visually impaired learners. The results of the study could be beneficial for teachers seeking ideas in managing language classes with blind students and scholars who are interested in studying how assistive technology help visually impaired students learn language skills.
Defining the construct and elements of Aesthetic Experience (AX) and User Experience (UX) in Augmented Reality Comics (AR Comics)

The purpose of this study paper is to characterise the user experience (UX) and aesthetic experience (AX) of augmented reality comics (AR comics). The researcher used a methodology review approach on six models of each of the three AX models and the rest were UX models in order to assemble the constructs and elements of both models. Principally, AX and UX are differently disciplined, similar to AR comics, which require a combination of the two disciplines. Previous studies found that comics are aesthetic objects or art forms that use aesthetic experience (AX) as a measurement method. Simultaneously, AR is a Human-Computer Interaction (HCI) based technology that is always centred on user experience (UX). Therefore, this research paper is a preliminary step to collect the constructs and elements of AX and UX as a guide to finding the potential merger of the two fields.
THE RELATIONSHIP OF THE ROLE OF PARENTS WITH ONLINE LEARNING DURING THE COVID-19 PANDEMIC AT HEALTH INSTITUE DELI HUSADA DELI TUA

Introduction: In this online learning, the role of parents becomes bigger. If online, parents usually only accompany learning to supervise. In these cases, parents must be the teacher for their children. Objective: to find out the relationship between the role of parents and online learning during the COVID-19 pandemic at Deli Husada Deli Tua health institute in 2021 Research Methods: This type of research uses quantitative research with a cross sectional research design, which was conducted on 30 parents whose children are doing online learning at home. The role of parents in online learning Based on the table of cross tabulation of the relationship between the role of parents and online learning during the COVID-19 pandemic at Deli Husada Deli Tua health institute in 2021 Research Results: The role of parents is very good with online learning very good as many as 7 people (46.7%), the role of parents is very good with online learning is quite good 8 people (53.3%), the role of parents is very good with learning Poor online 0 (0.0%),The role of parents is quite good with online learning very good as many as 2 people (20.0%), the role of parents is quite good with online learning is good enough as many as 6 people (60.0%), the role of parents is quite good with online learning is not good as many as 2 people (20.0%), the role of parents is not good with online learning very good as much as 1 (20.0%), The role of parents is not good with online learning is quite good as many as 3 (60.0%), the role of parents is not good with online learning is not good as much as 1 person (20.0%).Based on the results of statistical tests and data processing using chi square calculations with the help of SPSS version 21 for windows, the P value = 0.002 (P &lt; 0.05) Conclusion: it can be concluded that there is a significant relationship between the relationship between the role of parents and online learning in Deli Husada Deli Tua health institute in 2021.
As Redes Neurais Aplicadas à Previsão de Corrente Elétrica de um Sistema Fotovoltaico

Recentemente, com a expansão das indústrias e o crescimento populacional, a demanda por energia elétrica só vem aumentando. Energias renováveis são alternativas para suprir esta demanda. Dentre elas, a energia solar se destaca como uma fonte sustentável e renovável de energia. Nesse contexto, este trabalho tem como objetivo implementar modelos, baseados em redes neurais artificiais e regressão linear múltipla, para predição da corrente elétrica gerada por um sistema solar fotovoltaico, localizado na região oeste paranaense. Modelos, baseados nas arquiteturas Multilayer Perception (MLP) e Linear Regression (LR), foram implementados na linguagem Python. Resultados obtidos dos modelos, de redes neurais MLP, foram comparados por meio das métricas: CC ( Correlation Coefficient ), MSE ( Mean Squared Error ) e RMSE ( Root Mean Squared Error ). Os resultados sugerem que o modelo de rede neural artificial é mais adequado, para prever a corrente elétrica do sistema fotovoltaico, do que o modelo de regressão linear. Palavras-chave: Energia Solar. Painel Fotovoltaico. Redes MLP. Regressão Linear. ABSTRACT Recently, with the expansion of industries and population growth, the demand for electricity has only been increasing. Renewable energies are alternatives to supply this demand. Among them, solar energy stands out as a sustainable and renewable source of energy. In this context, this work aims to implement models, based on artificial neural networks and multiple linear regression, to predict the electric current generated by a photovoltaic solar system, located in the western region of Paraná. Models, based on Multilayer Perception (MLP) and Linear Regression (LR) architectures, were implemented in Python language. Results obtained, from MLP neural network models, were compared using metrics: CC (Correlation Coefficient), MSE (Mean Squared Error) and RMSE (Root Mean Squared Error). The results suggest that the artificial neural network model is better suited, to predict the electrical current of the photovoltaic system, than the linear regression model. Keywords: Solar Energy. Photovoltaic Panel. MLP Networks. Linear Regression.
APPLICATION OF BAYESIAN NETWORKS: WHY STUDENT PREFER FAST-FOOD, KAMPAR DISTRICT

It is common in nowadays where people eat at restaurant rather than cook or prepare meal by themselves. Comparing to home cook meal, eating at restaurant may have been ignoring the hygiene and balance nutrition issue by human for the sake of convenient and time saving. Thus, fast-food has naturally become one of the choices of their preference. We used Bayesian network to identify the factors that influence UTAR Kampar students to have fast-food as their proper meal. Bayesian Networks is one of the probabilistic graphical models and the network must be a directed acyclic graph. The network structure is formed by nodes (random variables) and they are linked by a directed arc corresponding to the causal relationship between them. In this paper, we discovered that the main reason for McD fast-food to be treated as a proper meal mostly in not because of “fast”, i.e., the time saving factor, though it is the inspiration of emerging fast-food restaurants. Besides the unexpected result, the food preference of university students is not easily influenced by friends’ suggestions. Keywords: Bayesian Network, Fast-Food, Structural Network, Directed Acyclic Graph.
Differences in Emoji Interpretation Between Cerebral Palsy Patients and Neurotypical Individuals

Nowadays, emojis have become a popular and useful means of communication over the internet.This study aims to investigate the difference between cerebral palsy (CP) patients' and neurotypical individuals' understanding of 33 most used emojis from the iOS system.Participants were 11 children and adults with CP who were diagnosed with mild cerebral palsy and 11 neurotypical peers who were age and gender matched as controls.The CP patients filled out a printed version of a questionnaire, and the neurotypical peers filled out an online version of it in which participants were asked to independently rate the valence of 33 emojis on a scale from 0 to 10. Overall, the interpretations of emojis between CP and neurotypical peers were mostly consistent.However, independent two-sample t-test analysis showed that the difference of the two groups' ratings was significant (p's < 0.05) for five emojis.This study demonstrated that despite previous research suggested that CP patients had worse emotion interpretation, they could interpret most emojis similarly to their neurotypical peers with some exceptions.Possible explanations were also discussed in the paper.Because of this similarity, emojis can potentially be a powerful tool to assist CP patients to communicate more efficiently.
Look and Learn: Observational Learning of Rules and Instances

We describe an experiment that examines observational learning of either rules or instances. Subjects were asked to learn a dynamic computer control task and were given either a specific goal, to make the computer produce a specific response, or a non-specific goal, to find the pattern underlying the computer’s behavour. Subjects either interacted directly with the computer (the ‘models’) or observed a model’s learning trials (the ‘observers’). Both the goal of the models and the goal of the observers were varied so that specific goal and non-specific goal models were crossed with specific goal and non-specific goal observers. We predicted that the goal of the observer and not the goal of the model would determine whether observers learned rules or instances and that learning through observation would hinder instance learning. These predictions were confirmed. Non-specific goal models learned rules whereas specific goal models learned instances. Non-specific goal observers also learned rules, irrespective of the goal of the model, but specific goal observers failed to learn at all. A subsequent test confirmed that the failure of the specific goal observers to learn was due to the lack of feedback about correct responses. When such feedback was provided, specific goal observers learned instances. However, the presence of feedback was detrimental to rule learning. When non-specific goal observers received feedback, they learned only instances. These results support the view that both goal specificity and the presence or absence of feedback guide learning by directing attention to either instance space or both instance space and rule space.
Effective Approaches and Challenges in Hindi-English Neural Machine Translation

With the rise in the use of Indian languages, visualizing and improving translation tasks is essential in order to narrow the gap between the comprehension of these languages globally.In this paper, approaches of sequence-to-sequence models including attention mechanism and long short-term memory are explored and compared with other state-of-the-art models such as transformers.Previous work has explored multiple Indian languages including Bengali, Hindi, Marathi, Telugu, and Kannada.Due to the overall increase cases of use of the Hindi Language, a comparison between models is done through a custom preprocessing of a Hindi-English dataset and normalizing the data to the required needs.While some systems are focused on specific end-to-end language translations, some are large-scale systems with translation capabilities of multiple languages.The paper proposes that adding attention to the basic encoder-decoder architecture can not only improve the translation tasks with higher accuracies, but also reduce training times and make it possible to train with larger datasets.Additionally, certain challenges with Hindi translation such as word sense disambiguation are also explored by looking at examples of previous work and some of the results produced by them.