Reviewerly/exHarmony huggingface dataset:
POSSIBILITIES OF THE SOFTWARE IN THE IMPLEMENTATION OF DISTANCE TECHNOLOGY FOR THE DEVELOPMENT OF TECHNICAL CREATIVITY OF SCHOOLCHILDREN

The article outlines the relevance of the development of technical creativity of schoolchildren as one of the necessary conditions for successful existence in the modern technological world, the introduction of distance learning and the transformation of the system of training future teachers in the field of supplementary technical education. The authors systematized the toolkit, the use of which allows teaching effectively, interactively, maximally involving schoolchildren in the process of technical creativity. Distance learning systems, programs and services for content creation, services for online interaction, professional programs for the development of technical creativity are highlighted in the author's classification presented on the basis of the analysis. A brief description and comparative analysis of distance learning systems are presented, the criteria for choosing a distance learning system by the organization of supplementary education are substantiated, the expediency of cooperation between the organization of supplementary education and a university in using a specific distance learning system is proved. The authors have identified four groups of software that allows the teacher to fill their courses with content and visualize educational material: programs for creating videos, presentations, infographics and timelines. The role of the system of interaction between teachers and schoolchildren for achieving high learning outcomes for school children is noted; services for online interaction are presented. The importance of specialized software for the development of technical creativity of schoolchildren, for example, integrated development environments and programs for 3D printing, is emphasized. The materials of the article are aimed at assisting the subjects of the educational process of supplementary education in choosing a distance learning system and specialized software for the development of technical creativity of schoolchildren.
A Path Analysis of Teacher Effectiveness as Estimated by Leadership Behavior, Communicative Competence and Self-Efficacy of Teachers in San Isidro, Davao Oriental

This study determined the level of self-efficacy, communicative competence, leadership empowering behavior of administrators and teacher effectiveness of teachers in San Isidro North Davao Oriental Division. Descriptive correlational design was used in this study. A total of 75 teachers participated in this study. The respondents were selected through total enumeration since there were only few teachers in the district. Survey questionnaire was utilized as instruments in gathering data from the respondents. Mean was utilized to determine the level of self-efficacy, leadership empowering behavior, communicative competence and teacher effectiveness of teachers. Pearson product moment correlation was used to investigate the relationship between variables. Multiple regression analysis was used to analyze the influence of self-efficacy, communicative competence and leadership empowering behavior on teacher effectiveness. Furthermore, the best fit model of teacher effectiveness was also investigated. Results revealed that levels of self-efficacy, leadership empowering behavior, communicative competence and teacher effectiveness are high. Moreover, self-efficacy, leadership empowering behavior and communicative competence were found to have significant positive relationship with teacher effectiveness. Furthermore, both communicative competence and leadership empowering behavior significantly influence teacher effectiveness. Hence, the best fit model illustrates that 28 percent of the variance of teacher effectiveness is explained by the combined influenced of communicative competence and leadership behavior.
Artificial Intelligence and IP Protection: In Defence of AI-Generated Works

The emergence of artificial intelligence in our contemporary world today has generated a slew of debates among writers, lawmakers, and other stakeholders on the appropriate legal regime for the protection of AI-generated works. The IP regime in most jurisdictions does not accord any protection to these works on the basis of human-authorship policy. Under this policy, it’s only a natural person (a human being) that can be an author (in the case of copyrightable works) and inventor (in the case of patentable inventions). Since machines are not human beings, they lack legal personality and cannot be regarded as authors or inventors for the purpose of obtaining IP protection. Consequently, the work will enter the public domain. This paper, however, suggests a better approach. It argues that since AI-generated works are independently created (autonomously), then there is an element of originality. As a result, AI qualifies as an author in the case of copyrightable works. For AI-generated inventions, it argues that an AI should be named as the inventor in a patent application since these inventions are created autonomously. It concludes that the existing IP regimes are inadequate and should be reformed to reflect the current realities.
Herbivicus: A Full Stack Website with Chatbot and Google API

Web development can range from creating fundamental static pages to compound web applications. It usually alludes to web designing, website architecture, customer/worker side scripting. As we probably are aware, software engineering joined with ecological science dominant part centres around topographical interaction affecting earth, climate, earth, woodlands and water bodies. Similarly, this venture centres after empowering individuals towards ranch and encouraging them by starting from their home itself. The venture is entitled as “Herbivicus”. The goal of “Herbivicus” is to illuminate various parts of plants. This time individuals have thought little of the force of vegetation. From expanding oxygen levels to lessening feeling of anxiety, they can do everything and change one’s home into green desert garden. The highlights associated with this undertaking are Front web-development, chatbot (Artificial knowledge), structures, APIs and UI planning. There are many people in the world who have colour blindness problem so to overcome that colour theory has been implemented. Last yet not the most un-this undertaking spreads a word to re-establish greenery as well as is a stunner for individuals to comprehend the value of house plants.
Shared Knowledge and Presentation of the Research results in Specialised Scientific Publications

Many and of different character documents define the relationships and roles in education and science – from laws and legal acts, to regulations, standards, simple rules and many others. Every such document plays a certain role in terms of their meaning and content. Within a certain framework, the development of every participant - a teacher, a mentor, a scientist, etc - is related to these systems. All these are a necessary, yet insufficient condition to be a good teacher, lecturer, and scientist. A teacher, a lecturer, a scientist teach, transfer and share knowledge. And knowledge itself is a special category.How knowledge and research results can reach their users and is passing through specialized scientific publications the only way to it. This research paper considers the possibilities to stimulate scientific publications in Bulgaria and their role
Region-Based Stabilized Video Magnification Approach

Eulerian video magnification (EVM) is used to magnify the imperceptible signals inside the video in the form of color. For this, it requires the jitter-free stable video of the target occupying the major part of the frame. And most of the time, the real-world/real-time videos cannot satisfy the above requirements completely. This is where EVM lacks optimal results. And this thought motivated authors to develop a new region-based stabilized video magnification (RSVM) approach. This preprocesses the input by stabilization of video, then detection–tracking–cropping of ROI, to get the motion-free-modulated input which satisfies requirements of EVM. Further, performance of both methods is analyzed for different inputs and amplification factor with performance metrics as PSNR, elapsed time, extents of color, and motion magnification. Results reveal that the RSVM approach performs better than EVM to handle motions and also fasten the process.
Study on Career Development and Digital Value-Oriented Countermeasures of Aesthetic Education Teachers Based on BP Neural Network

The education policy requires the adherence to the five educations of morality, intelligence, physique, beauty and labor. The standpoint of aesthetic education in colleges and universities is clear, but it lacks stamina. The professional development of aesthetic education teachers and value-oriented digital learning strategies are in trouble. Analyze the actual value and future trends of the professional development of aesthetic education teachers in colleges and universities from a comprehensive perspective, realize digital education and teaching strategies, and strive to use the digital value -oriented learning mechanism of BP neural network to meet the professional development of aesthetic education teachers in colleges and universities, and use modern technology to provide aesthetic education teachers from the side. Solve the problems of discipline construction, teacher training, practice base construction, etc., make up for the shortcomings of aesthetic education in colleges and universities, and realize digital value-based countermeasures.
A Study on the Dimension of Service Flexibility, Relationship Between Organizational capacity and Operational Performance

This study empirically analyzes the relationship between the flexibility component of service firms, organizational capability and service operation performance. The first purpose of this study is to define the concept of service flexibility and find a new dimension of service flexibility. Second, the factors influencing service flexibility are categorized into service leadership capability, service human resource management competency, and service process technical support competency, focusing on organizational capability. Third, classify service flexibility into service level flexibility, service human function flexibility, and service process flexibility, and empirically analyzes the relationship with operational performance. Lastly, it examines whether there are significant differences according to the characteristics of the service process in relation to organizational capability, service flexibility, and operational performance. The results of this study can suggest the following implicationsBR Academically, First, Redefines the concept of service flexibility and draws out the components to suggest a conceptual framework for flexibility in service operation management. Second, Identify the relationship between service flexibility components and service operation performance Third, Comprehensive research model of organizational capability, service flexibility and operational performanceBR Practically, First, Emphasizes the importance of service flexibility and enables flexibility in measuring and classifying service firms. Second, Exploring the Organizational Capability Management of Service Providers for Service Flexibility and Operational Performance.
Multimedia trends and stages of development in online journalism

This article discusses the history, types, meaning, origin, and origins of the word multimedia. The article also discusses today's multimedia formats and programs. Multimedia trends in the article are analyzed in accordance with the nature of convergence, origin, current stages of development
Extending BIM with multi-sensory immersive virtual environments: fusing human experiences into design

Given the fact that people spend most of their time indoors, gaining a better understanding about the experience of the buildings during the design is essential to the comfort and wellbeing of their future occupants. In this chapter, the authors discuss the application of Multi-sensory Immersive Virtual Environments (MSIVEs) to extend the existing functionality of BIM and account for a complex subject component in building design, i.e., humans. The chapter presents a model that enables an extension to BIM by 1) creating human experiences using MSIVEs; 2) collecting data; and 3) validating the data collection methods. Several pilot studies are used to describe each of these threads. The research-elicited insights showed that MSIVEs are effective in filling in for the absence of the human dynamics in the design process and replicating comparable in-situ human responses. The chapter lays a subtle foundation for an experiential BIM that supports generating occupant related data early in design.
Contrastive Disentangled Graph Convolutional Network for Weakly-Supervised Classification

Node classification on graph-structured data plays an important role in many machine learning applications. Recently, Graph Convolutional Networks (GCNs) have shown remarkable success in the node classification task, due to the ability to aggregate neighborhood information and propagate supervised signals over the graph. However, most GCN-style models require relatively sufficient labeled data, which are not available in many real-world applications. Therefore, we in this paper study the problem of weakly-supervised node classification and propose a Contrastive Disentangled Graph Convolutional Network (CDGCN) to learn disentangled node representations based on the contrastive learning mechanism. Extensive experimental results show that CDGCN significantly outperforms all baselines on different label sparsities. The code is available at https://github.com/ChuXiaokai/CDGCN.
Self-adaptation of Neuroevolution Algorithms Using Reinforcement Learning

Selecting an appropriate neural architecture for a given dataset is an open problem in machine learning. Neuroevolution algorithms, such as NEAT, have shown great promise in automating this process. An extension of NEAT called EXAMM has demonstrated the capability to generate recurrent neural architectures for various time series datasets. At each iteration the evolutionary process is furthered using randomly selected mutation or crossover operations, which are chosen in accordance with pre-assigned probabilities. In this paper we present a self-adapting version of EXAMM that incorporates finite action-set learning automata (FALA), a reinforcement learning technique. FALA is used to dynamically adjust the aforementioned probabilities, thereby guiding the evolutionary process, while also significantly reducing the number of required hyperparameters. It is also demonstrated that this approach improves the performance of the generated networks with statistical significance. Furthermore, the evolution of the adapted probabilities is analyzed to gain further insight into the inner workings of EXAMM.
Basic Data Structures: Lists, Sets, and Dictionaries

In Python, lists, sets, and key-value mappings (dictionaries) are provided directly in the language as container classes. They manage objects of other classes (also potentially of different data types).
Implementation of Robotics Projects for Students

This article will discuss the delivery of STEM education to students through robotics and its training programs and projects. The use of technology in teaching can be effective in teaching of hardware and software courses at higher education institutions as well as mathematics, physics and biology classes at secondary school. The National University of Mongolia offered students who study engineering and computing extracurricular program. The students of software and information technology majors learned robotics, computer programming and the program developed students logical thinking, problem solving and critical thinking skills as well in project-based learning environment. Students accomplished several tasks and missions while developing logical and creative solutions to problems using LEGO Mindstorms NXT. Mindstorms NXT set includes programmable brick, sensors, and motor with visual programming environment. It enables new programmers; learners make a program for robot using this visual programming environment easily. This paper describes how to use ROBOTC in delivery of robotics learning and discusses the effects of robotics learning and teaching in STEM education.
A Study on Dynamisms of Iot Recommender Systems

The integration of evolutions in different technologies leads to the solution. In today’s era, it is very hard to search the purposeful information due to the presence of massive collection of data. Internet of Things (IoT) as leading edge is playing an important role in gathering data which causes information overload problem. The recommendation technologies have proved themselves by helping users in selecting the items according to their preferences and choices. IoT came as a revolution with the combination of cyber world and physical world. Recommender systems are information filtering software tools applied in many IoT application domains for the suggestion of things, services and items based on the data gathered by IoT sensor devices. In our study, first we describe the term IoT Recommender system (IoT RS) and then presents a comparison between recently developed IoT RS considering the pros and cons. We also explore some dynamisms as the dynamic features of IoT paradigm which should be taken care when developing IoT recommender systems. Inclusion of these dynamism can improve the recommendation quality and applicability in different IoT domains. There are many IoT-based application which are enhancing themselves by incorporating recommendation facilities. In last section, we discuss the challenges and future directions to enrich the quality of IoT recommender systems.
Development of the Handheld Measuring Probe for a 3D Scanner

This paper presents a specially designed contact measuring probe for the 3D scanner. It also presents stages of development of the handheld measuring probe including adjustment on coordinate measuring machine. The test procedure of the system was performed according to VDI/VDE 2634. This procedure involved the determination of probing error, sphere spacing error and flatness measurement error. The performance of the system was verified according to the test procedure. The maximum permissible errors of the system were determined and the measurement uncertainty was taking into account. The accuracy of the system has been improved thanks to the use of the probe calibration on the coordinate measure machine.
Search Techniques for Data Analytics with Focus on Ensemble Methods

A search technique plays an important role in selecting significant features from a huge feature set. As the dimensionality of data grows, there is a growing demand from industries that analyze data for analytics purposes. The main challenge is processing the data in a short time and with more predictive accuracy. Very less informative features are present in data which are important to increase classification performance. For this purpose, search strategies are applied on datasets to select relevant features. An ensemble method makes the best use of existing search techniques to improve classification accuracy. We have conducted a comprehensive evaluation of search strategies for dealing with ensemble methods in this study. The SU-R-SFS and SU-R-Stepwise ensemble algorithms are developed and tested on seven high-dimensional cancer datasets. It has been discovered that ensemble stepwise search outperforms sequential forward search for high-dimensional data by an average of 3.08%.
Upcoming meetings

Artificial OrgansVolume 46, Issue 5 p. 977-978 UPCOMING MEETING Upcoming meetings First published: 09 April 2022 https://doi.org/10.1111/aor.14229Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume46, Issue5May 2022Pages 977-978 RelatedInformation
ON THE ESSENCE OF THE CRISIS IN HIGHER EDUCATION

In this work, the problem of the crisis of higher education in the world educational process is actualized. The significance of this problem demanded from the author a comprehensive analysis of the literature, which reveals the essence of the phenomenon under study. The paper speaks of the inappropriateness of the representation of the higher education system as being in deep crisis. The characteristic features of modern society are revealed, which testify to the opposite. The role of higher education is presented as the main source of the development of intelligence, the intellectual potential of a person, outside of which scientific and technological progress would be impossible. It is argued that there is no crisis in the higher education system, there are permanently arising contradictions (the driving forces of the development of nature, society and man) that require their systemic resolution. The need to improve the psychological, pedagogical and methodological culture of a teacher of higher education as significant components in the structure of their personality is noted.
Binary Trees

While Python provides list, sets, and dictionaries as a rich variety of real-world data structures, it unfortunately does not include trees for direct use. However, they are helpful for various use cases and therefore desirable. Because the topic of trees is quite extensive and not to go beyond the scope of this book, I will deal mainly with binary trees and binary search trees as special cases.
Use of electronic textbooks in teaching mathematics: Problems and solutions

In this article, the development of mathematical thinking and the imagination of students in the teaching of mathematics reveal the role of electronic textbooks, the requirements for them, and their types. The creation of an ET in mathematics should address the humanities and universal values as much as possible paying attention to distance learning the student cannot interact directly with the teacher. The didactic and methodological aspects of the general laws of teaching, which are determined by the teaching mathematics are interrelated and are related to the issues of the program for the implementation of ET in practice.
The impact of use-generated content on visiting intention to a destination

The main objective of the current study is to measure the impact of user generated content (UCG) on visiting intentions to Jordan. An extensive literature review is conducted to gain a more comprehensive understanding of UCG and visiting intentions. Based on the studied reviewed literature, a theoretical framework is developed, consisting of UCG as an independent variable, four mediating variables (attitude towards visiting Jordan, perceived behavioural control, subjective norms, and destination image), and visiting intentions to Jordan as a dependent variable. In addition, the current study applied a quantitative approach where 285 responses were analysed using the software AMOS. In conclusion, the data analysis concluded that UCG has a positive impact on all the mediators, which in turn has a positive impact on visiting intentions to Jordan. Ultimately, the current study reaches multiple theoretical and practical implications.