Reviewerly/exHarmony huggingface dataset:
Interacción dialógica como componente de la competencia comunicativa del docente

This article deals with the essence and specifics of dialogic interaction as a component of the teacher’s communicative competence. It highlights that dialogic interaction is the most spread one in the educational process, which means that effective dialogue skills are not only an important element of the teacher’s communicative competence, but their professionalism on the whole. Thus, being one of the most important dimensions of pedagogical excellence, they require special development. The article aims to consider theoretical and empirical aspects of improving dialogic interaction as a component of the teacher’s communicative competence. So first, the article reflects a scrupulous theoretical analysis of the issue, with the main focus on the idea that in the pedagogical activity, dialogic interaction dominates other forms of interaction. Then, the article describes the experiment which aimed to study the specifics of the development and improvement of dialogic interaction. The experiment results allow drawing a conclusion about the high effectiveness of the formulated program on the improvement of dialogic interaction as a component of the teacher’s communicative competence. The effectiveness of the program use has been confirmed by the results of the repeated practice. The pedagogical process in an educational institution is based on the interaction of personalities. Therefore, the pedagogical becoming of a teacher is determined by the possibility for him/her to be the subject of the pedagogical activity and build dialogic interaction with its other subjects.
Irish attitudes to privacy in COVID-19 times: sentiment analysis on Twitter and survey data

Contact tracing apps used in tracing and mitigating the spread of COVID-19 have sparked discussions and controversiesworldwide. The major concerns in relation to these apps are around privacy. Ireland was in general praised for the design ofits COVID tracker app, and the transparency through which privacy issues were addressed. However, the voice of the Irishpublic was not really heard or analysed. This study aimed to analyse the Irish public sentiment towards privacy and COVIDtracker app. For this purpose we have conducted sentiment analysis on Twitter data collected from public Twitter accountsfrom Republic of Ireland. We collected COVID-19 related tweets generated in Ireland over a period of time from January1, 2020 up to December 31, 2020 in order to perform sentiment analysis on this data set. Moreover, the study performedsentiment analysis on the feedback received from a national survey on privacy conducted in Republic of Ireland. The findingsof the study reveal a significant criticism towards the app that relate to privacy concerns, but other aspects of the app as well.The findings also reveal some positive attitude towards the fight against COVID-19, but these are not necessarily related tothe technological solutions employed for this purpose.
A STUDY ON THE EFFECT OF EMOTIONAL INTELLIGENCE DIMENSIONS ON THE ACADEMIC ACHIEVEMENT OF UNDERGRADUATES

The objective of this research was to reveal the effect of the five emotional intelligence dimensions such as a self-awareness, emotional management, self-motivation, emphaty, and interpersonal skills on the academic achievement of undergraduates. This study employed a quantitative approach with survey method. The respondent of this study was undergraduates of Computer College of Bina Patria, central java, Indonesia. The method of data collection was questioannaire. This research revealed that emotional management, self-motivation and interpersonal relationship gave a significant influence on grade average point of the students (Sig. &lt;0.05). Meanwhile, self of awareness and emphaty did not give a significant influence on the grade average points of the students (Sig.&gt;0.05). Then, emotional management gave the biggest influence on the grade average points of the students with standardized coefficients 0.361, and sig. 0.001&lt;0.05. The findings of the research imply practically that the students undergraduates should build and improve continuously the dimensions of emotional intelligence to increase their academic achievement. Meanwhile, from theoretically point of view this finding can be used to construct the paradigm of academic achievement that the three dimensions of emotional intelligence-emotional intelligence, self motivation and interpersonal relationship can be considered as factors which influence the academic achievement of students undergraduates.
К ВОПРОСУ О ПОСТРОЕНИИ КОГНИТИВНЫХ КАРТ КОМПЕТЕНЦИЙ РАЗВИТИЯ ЧЕЛОВЕЧЕСКОГО КАПИТАЛА

An algorithm for the development of a matrix of implicit mutual influence of the competences of human capital development in high-tech and knowledge-intensive sectors of the economy is proposed and the degree of their interaction is determined. The Ishikawa diagram is constructed, which allows to visually determine the most significant casual connections between the estimated predictors. A cognitive map of human capital development competencies in high-tech and knowledge-intensive sectors of the economy is proposed, which is a formalized relationship between variables and allows one to assess the predictors that most strongly influence each other.
Цифровые технологии как стратегический приоритет развития пространственно-отраслевой структуры региона в современных условиях

With the adoption in 2019 of the Spatial Development Strategy of the Russian Federation, the issue of using digital technologies in managing development of regional spatial sectoral structures has become topical. In this aspect, in modern conditions of building an information society in our country, the use of digital technologies deserves special attention, since they become a solid support for developing many types of economic activity and digitalization of the domestic economy as a whole. Certain successes in digital technologies use have determined the relevance of this research area. The goal is to develop a classification of digital technologies, highlighting their purpose in context of activities and clarify digital technologies properties of that provide a qualitatively new level of information presentation for making management decisions. The article gives definitions of the classification composition of digital technologies and their purpose. The research results can be used to develop digitalization processes in economy sectors and strengthen their focus on growth of competitive advantages and technological development of regional spatial sectoral structures in a modern competitive environment.
EFFECT OF MACROECONOMIC FACTORS ON CAPITAL STRUCTURE OF FIRMS IN DEVELOPING AFRICA: A TWO-STEP GMM APPROACH

The study examines the effects of macroeconomic factors and on capital structure of non- financialfirms in Africa. Using a recent data for an advanced dynamic model (2step system generalizedmethods of moment (GMM)) technique for a panel data model of 406 non-financial firm of 8developing African nations. The findings reveal that macroeconomic variables are determinant ofcapital structure of non-financial in Africa. The findings show that financial managers can benefitfrom raising additional capital as macroeconomic conditions are favorable. Moreover,shareholders should employ firm managers with good knowledge of macroeconomic conditions andalso encourage them raise debt capital needed to fund positive investment. Lastly, Policymakersshould enact policies that promote financial market development because such policies wouldcomplement the banks’ financing strategies and firms would have more access to debt capital.
Modelling a CubeSat-based Space Mission and its Operation.

Since the early 2000' years, the CubeSats have been growing and getting more and more in the Space industry. Their short development schedule, low cost equipment and piggyback launches create a new way to access the space, provide new services and enable the development of new technologies for processes and applications. That is the case of the Verification and Validation of these missions. As they are cheaper to launch than traditional space missions, CubeSats win by numbers. With more than 1000 CubeSats launched they still achieve less than 50% rate of successful missions and that is caused mainly by poor V&V processes. Model Based approaches are trying to help in these problems as they help software developers along the last years. As complex systems, space products can be helped by the introduction of models in different levels. Operational goals can be achieved by modeling behavioral scenarios and simulating operational procedures. Here, we present a possible modeling solution using a tool that integrates the functionalities of FSM and Statechartes, the ATOM SysVAP (System for Validation of Finite Automatons and Execution Plans). With this tool we are able to model the behaviour of a space mission, from its top level (i.e. system and segments) to its low level (subsystems) and simulate their interactions (operation). With the help of Lua Programming Language, it is possible to generate analysis files, specific scenarios and control internal variables.
NEW EXPERIENCE OF VIRTUAL REALITY SHOPPING: MEDIATING EFFECT OF TIME DISTORTION

In the era of the Fourth Industrial Revolution, the application of ICT technology has brought many changes in society. In particular, the paradigm shift of consumer shopping, which customers experience through the incorporation of new technologies in the shopping environment, is also bring a big change of shopping behavior. In this study, we implemented a virtual reality shopping environment, a form of new distribution channel, and then attempted to find out the user’s time distortion and enjoyment as well as the future intention of using VR by allowing the respondents to experience the VR shopping. In addition, this study examines the mediation role of time distortion between telepresence and interactivity, and enjoyment. Managerial implications and limitations of the results of this study are also discussed.
Кураторские стратегии в современном изобразительном искусстве (на примере проекта “Музей великих надежд”)

The article deals with the contemporary art exhibition “High Hopes Museum” realised in the Volga-Vyatka branch of National Center for Contemporary Art (NCCA) in 2015. As a result of thoughtful curatorial strategies tasks of mainstreaming, interpretation, personalization and transcoding of local history through contemporary art and contemporary art practices were solved; algorithms of cooperation built museums and collections of various kinds were formed; a model of an alternative museum was created.
تنمية مهارات الارتجال والإيقاع باستخدام تقنية الواقع المعزز لدى معلمة رياض الأطفال Developing the skills of improvisation and rhythm using the augmented reality technology of the kindergarten teacher

The research aims to determine the appropriate improvisation and rhythm skills for the kindergarten teacher, prepare a program using the augmented reality environment to develop improvisation and rhythm skills for the kindergarten teacher, measure the effectiveness of using the augmented reality environment in developing the improvisation and rhythm skills of the kindergarten teacher.The researchers used the experimental method of semi-experimental design for one group by following the pre and post test for its suitability to the nature of this research. The research community is the kindergarten teachers of a kindergarten in Minya city, and the researcher applied the program to all the(18) teachers of Al Fath Primary School kindergarten.To collect data on the research, the researchers used document and record analysis, a personal interview, a questionnaire of improvisation and rhythm skills appropriate for a kindergarten teacher, a tool for processing the proposal using an augmented reality environment, and its guide, and measurement tools include testing the improvisation and rhythm skills of the kindergarten teacher.One of the most important results was the identification of a list of improvisation and rhythm skills appropriate for the kindergarten teacher in light of the opinions of experts and specialists. One of the most important recommendations was to invite those in charge of the educational process using the proposed program because of its ability to develop Improvisation and rhythm skills of a kindergarten teacher.
A Sliding Mode Control Learning of Interval Type-2 Intuitionistic Fuzzy Logic for Non-Linear System Prediction

— Many learning algorithms such as gradient descent, extended Kalman filter, decoupledextended Kalman filter and hybrid approaches have successfully been employed to optimizeintuitionistic fuzzy systems of type-1 and type-2. In this paper, a sliding mode control algorithm forthe optimization of interval type-2 intuitionistic fuzzy logic system parameters is proposed for thefirst time. The proposed model adopts the Takagi-Sugeno-type inference. The learning model isdeveloped and the adaptation for the parameters are derived. The proposed model is applied to nonlinear dynamic prediction problems. Experimental results show that interval type-2 intuitionisticfuzzy logic system with sliding mode control learning outperforms its type-1 counterpart and someexisting models in the literature while competing favorably with other models on the selectedapplication domains with less running time.
Study on Optimization of Urban Road Environment and Pedestrain-Vehicle Diversion Based on Factor Analysis

With the Continuous Improvement of Living Standards, Many Families Choose to Buy Cars as a Means ofTransportation, and the Number of Cars in Cities Has Greatly Increased, Which Has Brought Great Pressure toUrban Traffic. with the Improvement of People's Requirements for Living Environment and Quality of Life, theTraditional Traffic Design Model of Residential Area Can No Longer Meet the Demand. the Mode of TrafficSeparation between People and Vehicles Has Become a Main Traffic Mode in Cities. It is the Focus of CurrentResearch to Make Residents Enjoy a Quiet and Peaceful Atmosphere While Ensuring Traffic Efficiency. Based onFactor Analysis, This Paper Makes a Concentrated Analysis of the Main Influencing Factors of Road TrafficAccidents, and Puts Forward Different Traffic Organization Modes and Strategies for People and Vehicles inTraditional Residential Areas and Residential Areas with Integrated Road Network, Which Provides Reference forCreating Humanized Residential Areas and Formulating Urban Road Planning and Design and TrafficManagement Measures. Only by Dividing the Urban Roads Reasonably Can We Ensure the Safety of Residentsand Build a Harmonious Environment.
OTOMASI PID TUNING UNTUK OPTIMASI KONTROL QUADCOPTER MENGGUNAKAN METODE HARMONY SEARCH

The search system intelligent tuning value on the Quadcopter control method the topics the one of research that continues to be developed, starting from conventional control systems to intelligent control systems. The methods of control commonly today used include PID control. The automatic control system is handle to able several disturbances from internal and external factors. Internal factors can be caused from vibration than perfect less and actuator devices. External factors form the changes in the wind direction and speed, waves and wind current speed resulting is changes in the orientation on direction from the quadcopter. External factors that are disturbances of difficult to predict and relatively in change non-linear.The HS (Harmony Search) algorithm is one of the optimization algorithms can be used decision maker system, which a metaheuristic method inspired by compositions of jazz. The Harmony Search algorithm has initialization step a harmony memory. This stage a advantage of being to able simultaneously find several combinations of points from the initial route that be obtained from the given initial route. In the Harmony Search method, it by analogy can be explained, when is improvising a musical instrument player, there are can be done three things that, namely: playing notes that are composition in the song already available, playing notes that have in harmony accordance with the song composition (pitch adjustment) and playing notes randomly.The results of the PID tuning simulation research using Harmony Search found constants Kp, Ki and Kd with the smallest rise time and overshoot for all angles. At the corner it is found that Kp is worth 0.176, Ki is worth 0.008 and Kd is 0.098.
Handwritten Character Recognition Using Convolutional Neural Network

This paper applies machine learning technique for handwritten character recognition. Handwritten recognition can recognize the handwritten character in different styles efficiently on the computer or any electronic device by receiving the input from a touch screen, electronic pen, scanner, images, and paper documents and convert them into digital form. It has various authorities such as reading advice for bank cheques, recognizing letters and digits from form applications. The existing method from machine learning like Convolutional Neural Network (CNN) based handwritten character recognition utilized to solve this problem. The goal of this study is to create the model that can identify and determine the handwritten character from the EMNIST with better accuracy. The EMNIST dataset that consists of English alphabets and digits is used to train the neural network. EMNIST datasets are downloaded from the Kaggle. This paper aims to develop on algorithm based on convolution neural network for handwritten character recognition. The objectives of this study are to develop an optimization technique that can increase the accuracy of handwritten character recognition and analyze the performance of the proposed algorithm with the test data set. It illustrates the use of convolution neural networks for generating a system that can recognize handwritten characters. In the created model, each character is described by binary values that act as input to a pure feature extraction system. The output is fed to the neural network model. The CNN approach is applied to complete the task of classifying words directly and character segmentation. CNN also act as a classifier to train the EMNIST dataset. This project used Python with TensorFlow libraries to develop a simulation of federated learning algorithms on the model. The project has made use of OpenCV to perform image processing and predicted image. The regularization parameters such as Dropout to prevent overfitting. The proposed work enhances the recognition rate of characters with accuracy of 88.7%.
Open data: A driving force for innovation in the life sciences

Scientific discoveries never appear on green fields in isolation; knowledge generated by others underpin them. But how can we foster collaborative environments, and what are the key components of success, particularly after years of digital transformation in the life science sector?  This report demonstrates that access to open, free resources, such as data and software, is the underlying basis for breakthrough discoveries, scientific excellence and entrepreneurial endeavours. Studying three different European innovation ecosystems – Cambridge, Berlin and Barcelona –, the report explores the factors and actors that contribute to the success of these ecosystems. For example, it examines entrepreneurs that bridge academia and industry, companies that use open resources, and public infrastructure providers that engage in public-private partnerships. The report also features case studies of two innovation-driven European SMEs, Scailyte and SciBite , each with a different business model and use of open data.
Recommending Products Based on Visual Similarity Using Machine Learning

A product recommendation system is aimed at providing an improved shopping experience to the users, thereby increasing the revenues. The text-based product search on most of the online stores is based on the past search history of the user and/or the other characteristics associated to the products, such as the annotated labels, price range, category, description, size, color, and other attributes. Though, this traditional method has adequate performance, however, it is prone to the issues pertaining to improper annotation of the metadata related to the products. Due to the recent advancements in machine learning, product recommendation using machine learning is getting increasing attention. Over the last one decade, tremendous progress in machine learning and computing has paved the way for efficient product recommendation. In this book chapter, we present a critical analysis of product recommendation using the traditional methods. Specifically, the book chapter explores the prospect of product recommendation based on visual similarity using machine learning which is rather a new concept in this domain and is getting increasing attention in research community. The chapter also explores the underlying challenges and discusses the future directives.
Tunable quantum interfaces between superconducting qubits and microwave photons induced by extreme driving

In this work, I investigate how to implement and quantify \emph{in-situ} tunable quantum interface between superconducting qubits and resonators using external transverse driving fields beyond the rotating wave approximation (RWA). When studying the system under the time-periodic driving field, we typically rely on RWA, a useful technique that significantly reduces the analytical difficulties in solving the dynamics with time-dependent Hamiltonian. Nonetheless, it does not correctly describe the systems' dynamics when the drive fields are excessively strong and far off-resonant. Especially in circuit QED platform, the RWA often breakdowns. Many studies before, however, mainly focus on the transition frequency shifts. How the RWA distorts the interaction rates between two systems has been rarely explored. I have performed quantitative studies over two different systems. One is the quantum Rabi model (QRM) where a two-level atom is dispersively coupled to a resonator mode. The other is dispersively coupled a transmon and resonator system, which is the same as the QRM except that the transmon replaces the two-level atom in QRM. In both cases, I have revealed that the RWA significantly mislead the sideband transition rates between two elements. In the latter case, I have performed the experiments, and the results nicely agree with the analytical and numerical calculations. In addition to these, I also have introduced a study where the tunable coupling between a transmon and resonator is used for non-invasive resonator probing.
An Analysis of Students’ Error in Using Personal Pronoun on Writing Descriptive Text of First Semester atInstitute Agama Islam (IAI) Al-Azhaar Lubuklinggau

This Research was aimed to describe types of  students’ Error in Using Personal Pronoun on Writing Descriptive Text and  to describe out the causes of  students errors made by First Semester at Institute Agama Islam (IAI) Al-Azhaar Lubuklinggau. The writer used the descriptive method in doing this research and the first students became the sample by the used of convienience sampling. The writer were collected the data by writing descriptive text of the first semester. These problem are probably caused by having no mastery personal pronoun. Based on fact the writer found some students at First Semester at Institute Agama Islam (IAI) Al-Azhaar Lubuklinggau study often found the errors in mastering grammar about personal pronoun.