Reviewerly/exHarmony huggingface dataset:
PROBLEMS AND PROSPECTS OF HIGHER EDUCATION EXPORT IN A CROSS-BORDER REGION (BY THE CASE OF THE TRANSBAIKAL STATE UNIVERSITY)

Today strategic academic activity is more and more associated with the export of knowledge and services. One of the most topical directions in the development of the higher education system is connected with the increase of the academic export potential. In this context, the trends and challenges related to the export of educational services that the present-day system of higher education faces require systematic understanding, interpretation and objectively increase the need to consider and study the prospects for more effective involvement of universities of cross-border regions into the global market of educational services. The object of the research is higher education export. The subject of the research is the problems and prospects of the export potential development in the Transbaikal State University. The objective of the research is to assess the degree of involvement of the Transbaikal State University, as the leading university in the cross-border region, in export of educational activities, to identify the main problems and to determine the prospects for more effective work of the university in this direction. The objective of the research is achieved through the solution of the following tasks: to reveal the meaning of the concept of «higher education export», to conduct a comprehensive analysis of the theoretical works on this issue, to study international activities and the practice of providing educational services to foreign students by the case of the Transbaikal State University. The research methodology of the study is based on the works of Russian and foreign scientists devoted to this issue. To analyze the effectiveness of the Transbaikal State University’s work in this direction, the author used a factor analysis that is connected with the impact of external and internal factors, objective and subjective reasons that affect the effectiveness of the export educational activities of the leading university in the cross-border Transbaikal region. To create the methodological integrity of the study, universal methods of analysis, synthesis, and generalization were used
Dasein-psyche Research: between Plato and Heidegger

The article answers the question: “How does the agathos of Dasein-psyche and Dasein-Intelligent-Matter come into being?” or “How does the meaningful-presence of Dasein-psyche and Dasein-Intelligent-Matter come about?” The author turns to the philosophy of Plato and Heidegger and presents Dasein-psyche as an elementary structure or a Dasein-Intelligent-Matter actor. The Dasein-psyche’s meaningful presence is significantly conditioned by the focus and limits of the arete potency, set by Dasein-Intelligent-Matter. The anthropologization of Dasein transforms the individual discourse and a way of life in accordance with the arete potency. The arete potency is the source of Dasein-psyche’s meaningful presence. The anthropologization of Dasein sets free arete, providing the transforming of the arete existentials potency into the energy of Dasein-psyche’s meaningful presence. The disclosedness of arete is an “ideal” state of the Dasein-psyche sustainable development and prosperity, the agathos of Dasein-psyche and Dasein-Intelligent-Matter.
Mathematical modelling and performance prediction for refrigeration system of a dairy plant using ANFIS

The purpose of this paper is to predict the online performance of the refrigeration system (a typical process industry) of a dairy plant based on failure rate of sub-systems as input parameters by using an adaptive neuro-fuzzy information system (ANFIS). The mathematical modelling of the system is performed to develop Chapman Kolmogorov first order differential equations. These equations are solved recursively to get the performance under steady state conditions with combinations of various failure and repair rate parameters. Then, adaptive neuro-fuzzy inference system (ANFIS) is applied to predict the performance of the system by using failure rates of subsystems as input parameters. The result shows that the prediction of online values closely matches the experimental values. The findings of the paper helped the plant personnel to monitor the online performance of the refrigeration system of a dairy plant.
The Teaching English of English Grammar based on the 2013 Curriculum

This study aims at investigating the teachers’ strategies in teaching English grammar based on the 2013 Curriculum. The subject of this research are two English teachers at SMPN 11 Maros Baru. This study is conducted by qualitative design and is focused on the phenomenon method. The findings shows that the strategies applied by the teachers in teaching grammar based on the 2013 Curriculum are problem based learning, project and blended learning. meanwhile, the problems faced by the teachers when implementing the 2013 Curriculum are related to time, the learners’ selfconfident, the internet networking, and the learning resources. As the result, the findings elucidate that most of the teachers apply the 2013 Curriculum in their teaching process. although it was not deeply in the using. The teachers use discovery based learning, project based learning and problem based learning as the main strategy in their teaching and learning process. The problems faced by the English teacher when in implementing the 2013 Curriculum were related to time, the learners unconfident, the internet networking and the pedagogy technology competence.
The impact of investment policies on human capital costs: An applied study on a sample of Iraqi banks

The search for a definition of the concept of investment policies and their impact on the costs of human capital in its three categories: (recovery costs, learning costs, replacement costs), the research dealt with an overview of investment policies and human capital costs And the relationship of influence between them through four potential channels for the impact of investment policies on the costs of human capital, And by the method of content analysis of the annual financial statements of a sample of (15) banks listed in the Iraqi Stock Exchange for the period from 2010-2020, as well as field visits and personal interviews conducted by the researchers with bank employees for the purpose of providing the necessary data to measure the study variables, This is because there is no disclosure of most elements of human capital costs individually and clearly, and correlation and regression models have been used to examine the relationship and influence between these variables, it was concluded that there is a high level of dispersion and inconsistency levels of investment policies among Iraqi banks, This indicates the vast difference between the lowest and highest value for the efficiency of investment policies, and there is a positive and significant correlation between the investment policy and the costs of human capital (in total and in its three categories), meaning the higher the level of efficiency of the investment policy, the higher the level of spending on capital. Human money and its three categories in the study sample banks.
LIBRARIES-CARS OF THE 30-40S OF THE TWENTIETH CENTURY: DOMESTIC EXPERIENCE IN THE IMPLEMENTATION OF TECHNICAL AND CULTURAL INNOVATION

The article considers the history and technology of the use of motor transport to improve library and information services for a user living remotely from the library. The purpose of the study is to identify, summarize and analyze the historical experience of using vehicles to improve the library and information activities of the country, the region in particular. The organizational, technological and managerial aspects of the work of car libraries have been studied.
All for one, or one out of many An analysis of cryptocurrency returns and technological differentiation

Analysing the 60 largest cryptocurrencies, we evaluate whether cryptocurrency movement can be differentiated by their underlying technological differences. We found that while substantial correlation in movement exists between the largest cryptocurrencies, investors are only beginning to understand and evaluate cryptocurrencies based on their technological characteristics. Studying both daily and monthly cryptocurrency returns, cryptocurrencies utilising decentralised application (DApp) reported higher returns, while currencies classified as coins reported lower returns. While not highly correlated to the US stock market performance, cryptocurrency returns are positively correlated with both technology and materials sectors within the US stock market. The results present a case for valuing cryptocurrencies as both a financial asset and a technological advancement.
INTERCULTURAL COMPETENCE AS A WAY TO OVERCOME CROSS-CULTURAL BARRIERS TO BUILDING TRUST

The intercultural competence as a way to overcome the cross-cultural barriers on the way of trust building in international relations is studied. An authorial model of intercultural competence, contributing to the formation of the generally significant ideological and conceptual field of the phenomenon of trust in international relations is proposed.
Factors affecting information seeking behaviour of trained input dealers

This present study entitled “Factor Affecting Information Seeking Behaviour of Trained Input Dealers” was conducted in the year 2022 in Gujarat state of India. A sample of 230 trained input dealers was selected from these states. The ex-post facto research design was used for the research study. The private sector plays a major role in the seeking of information about new technologies and new recommendations. The trained input dealers are one of them. Information needs may be realized from the trained input dealers or from the data expert on behalf of this information seeker. Thus, it may be stated that the information seeking behaviour differs with such characteristics. Hence, considering the importance of these characteristics and review of past research studies, an attempt has been made in this investigation to ascertain the relationship if any, between profile of trained input dealers and their information seeking behaviour. The result found that vast majority of the trained input dealers had very high information seeking behaviour and out of twenty independent variables thirteen variables viz. education, social participation, extension contact, cosmopoliteness, mass media exposure, input supply ability, innovativeness, economic motivation, scientific orientation, risk orientation, achievement motivation, planning orientation and market orientation were found to be positive and highly significantly correlated with information seeking behaviour. Regression analysis indicates that number of years of experience as dealer, social participation, mass media exposure, input supply ability, innovativeness, economic motivation and achievement motivation would affect 0.230 units, 0.171** units, 0.141* units, 0.212** units, 0.265** units, 0.152** units and 0.144** units change in information seeking behaviour of trained input dealers, respectively.
Motivation and Autonomy in Traditional Vs. Online Classes of English for Medical Purposes

The present study aims at analysing the extent to which motivation and autonomy shape the process of learning English for medical purposes (EMP). This research paper was designed to investigate the connection between students’ motivation and their autonomy level in the context of online training during the COVID-19 pandemic, compared to the traditional classes. A quantitative
An Autoethnography of an Adult Learner’s YouTube-based Learning Experience

The aim of this study is to understand the characteristics and meaning of the online platform-based adult learning experience by autobiographically describing the YouTube-based learning experience of an adult learner. The study results are briefly presented as follows. Firstly, as an adult learner, I converted the fragmented information on YouTube into systematic self-directed knowledge based on my subjective point of view and perspective. Secondly, as a researcher, I actively participated in YouTube-based online learning based on self-direction and mutuality. Thirdly, as an adult learner, I was able to overcome the limitations of the physical environment through the expansion of temporality and spatiality on YouTube. The results showed that the essence of the YouTube-based learning experience of an adult learner was that it is informal learning in which self-directed knowledge was subjectively constructed through self-awareness and reflection on the learning content, learning method, and learning environment mediated by YouTube. The results of this study will contribute to providing a theoretical and practical foundation for informal learning to promote the continuous growth and development of adult learners by identifying the characteristics and educational meaning of the YouTube-based online learning experience of an adult learner.
The Correlation Between Students’ Vocabulary Mastery and Writing Descriptive Text Ability of the Eight Grade Students in SMP Negeri 40 Palembang

The purposes were to find out the correlation between students’ vocabulary mastery and writing descriptive text and the contribution of vocabulary mastery on writing ability. The population of the study was all of the 8th grade students in SMP Negeri 40 Palembang. In choosing the sample, purposive sampling was used that involved 134 students. The data were collected by using vocabulary mastery and writing descriptive text ability tests. The data were analyzed by using Pearson Product Moment to investigate the correlation between both variables and regression analysis. The results showed that the coefficient of r-value was 0.557. The category of correlation between vocabulary mastery and writing ability showed a moderate correlation. It was found that there was significant correlation between students’ vocabulary mastery and writing descriptive text ability of the eighth grade students in SMP Negeri 40 Palembang. There was also contribution of vocabulary mastery to writing descriptive text ability of the eighth grade students as much 31%.
A Market Ripe for Disruption

Neil Tyler talks to the founders of Panthronics and looks at how their technology is set to disrupt the NFC market
Robotic Navigation Solution

ACEINNA LAUNCHES OPENIMU ROS DRIVER FOR THE DEVELOPMENT OF ROBOTIC NAVIGATION SYSTEMS.
Generating Documents with FeatureIDE and pandoc

In this tool demonstration we present a prototype at the KfW bank, which generates product information documents. It can generate reader-ready documents with well-formed sentences, a standardized structure and layout, while using only a feature model with annotated text. Our prototype uses the FeatureIDE third party library to process feature model and configuration. The generated texts in markdown format are transformed using pandoc into OfficeOpen XML format as the final product information documents. Two new features are presented, which complement our initial implementation: A script interpreter based on LuaJ, which produces feature text snippets for a given Lua script, using the feature model and its configuration object. And secondly, QR-Codes for the product documents, where the QR-Code contains the given configuration of the generated document as unique url to link back to our feature model based web configurator “YAP”.
Neuronal architecture extracts statistical temporal patterns

Neuronal systems need to process temporal signals. We here show how higher-order temporal (co-)fluctuations can be employed to represent and process information. Concretely, we demonstrate that a simple biologically inspired feedforward neuronal model is able to extract information from up to the third order cumulant to perform time series classification. This model relies on a weighted linear summation of synaptic inputs followed by a nonlinear gain function. Training both - the synaptic weights and the nonlinear gain function - exposes how the non-linearity allows for the transfer of higher order correlations to the mean, which in turn enables the synergistic use of information encoded in multiple cumulants to maximize the classification accuracy. The approach is demonstrated both on a synthetic and on real world datasets of multivariate time series. Moreover, we show that the biologically inspired architecture makes better use of the number of trainable parameters as compared to a classical machine-learning scheme. Our findings emphasize the benefit of biological neuronal architectures, paired with dedicated learning algorithms, for the processing of information embedded in higher-order statistical cumulants of temporal (co-)fluctuations.
Application of the T2 Hotelling Multivariate Control Chart for Online Learning Evaluation of Compulsory Statistics Courses in the Mathematics Undergraduate Study Program at Andalas University

The world of education is one aspect of life that has been affected by Covid-19, so on March 17, 2020 the Ministry of Education and Culture issued a Circular regarding online learning. Andalas University Mathematics Undergraduate Study Program is one of the study programs at Andalas University that also implements an online learning process. In this study, an online learning evaluation will be carried out based on the Mathematics Statistics I and Mathematics Statistics II courses in the Andalas University Mathematics Undergraduate Program in the odd semester 2019/2020 and the even semester 2019/2020. The analysis used to measure the success of online learning is the analysis of quality control using the T2 Hotelling control chart. In addition, an analysis of the process ability of the two courses will also be carried out. The results obtained by using the T2 Hotelling control chart are that the online learning process in the two courses is under control, while by analyzing the process ability it can be said that the online learning process in the two courses is still not working well, which means it is not fully within the limits. specifications that have been determined in the academic regulations of Andalas University.
Maximum Common Subgraph Matching

This chapter describes an unsupervised and computationally efficient image co-segmentation algorithm for an image pair. The method is based on subgraph matching. First, the images are represented as region adjacency graphs through image superpixels. Then the maximum common subgraph (MCS) is computed, and the corresponding subgraphs in the respective images give the co-segmented objects. Next, this algorithm is extended to co-segment more than two images containing a common object by performing co-segmentation of every unique image pair followed by co-segmentation of initial results in a hierarchical manner.
Survey of Image Co-segmentation

This chapter provides a review of the literature related to image co-segmentation and datasets used for evaluation.
Maximally Occurring Common Subgraph Matching

This chapter describes a robust framework to solve image co-segmentation where the common object is not present in all the images in the set. The co-segmentation problem for N images considers the very general setting that only an unknown M ( $$\le N$$ ) number of images contain the co-segmentable common object(s). This problem, in general, requires solving $$\mathcal {O}(N 2^{N-1})$$ MCS matching steps. A computationally efficient method is described in this chapter that requires only $$\mathcal {O}(N)$$ matching steps. This is achieved by performing maximally occurring common subgraph matching (MOCS) of the images in the set. The first step is to obtain a coarse co-segmentation of images using superpixel clustering that gives the common object partially. Then a ‘latent class graph’ (LCG) is constructed by combining the graphical representations of the partial object in all constituent images. Next the LCG is used for performing region growing on the graphs of individual images to obtain the common object completely. The co-segmentation method requires only $$\mathcal {O}(N)$$ image matching operations, instead of $$\mathcal {O}(N 2^{N-1})$$ , and yet ensures globally consistent matching across images.
An Analysis of Questions in the History Textbook of the International Baccalaureate Diploma Programme and Its Implications

This study aims to find definite and practical ways to construct the contents and structure of questions. Accordingly, the history subject curriculum of the International Baccalaureate Diploma Programme(IBDP) was selected as a reference for this study, and the questions from the IBDP history textbook(The Move to Global War; “IBDP History Textbook”) were analyzed.BR The characteristics of source-related questions(Source skills) are that they have a set format, are presented in phases, have a clear purpose, and focus entirely on the source to solve the problem. The characteristics of the questions regarding ATL skills are that they distinguish the necessary abilities for students and categorize competencies needed for learning, which is critical in teaching and learning. The TOK and class discussion questions reflect on generating knowledge and demonstrate how you can practice ‘doing history’ in the entire process of learning.BR Based on the analysis of the questions, for the development of questions in textbooks and instructions, the followings should be taken into account; First, it is necessary to develop question types that focus on the purpose and direction of learning in advance. Second, it is necessary to develop questions considering the characteristics of history learning. Third, lessons should be designed considering the overall structure and phases of questions.
SOCIAL DESIGN TECHNOLOGY: THEORY AND PRACTICE

The article is devoted to theoretical and practical aspects of social design technology. The examples show the sig­ nificance of social design as a perspective area of study in a vocational educational organization and the author’s ap­ proach to the implementation of socially­oriented projects. Author presents the results of an experimental study on approbation of the pedagogical model for the development of leadership qualities in university students using social design technology, conducted at Kazan Innovative University named after V.G. Timiryasov.
Development, Control Adjustment, and Gesture Recognition of a Quadrotor Helicopter

Quadrotor helicopters (quadcopters) have become popular in recent years; because they are simple to operate and steady, they are used in aerial photography, competitive flying, and search-and-rescue missions. In addition, wireless sensors have enabled gesture recognition, and therefore, this study investigated the use of gesture recognition to control a quadcopter. A quadcopter was built using Arduino NANO and MPU-6050 modules, which provided insights into the flight principles of a quadrotor system; furthermore, a proportional integrative derivative controller was modified for steady flight. A Leap Motion device was used to understand the logic behind hand gestures and test the success rate of each gesture, and was then combined with a Parrot AR.Drone 2.0 to achieve gesture recognition controls and uncover problems with connections between hand gestures. These problems were addressed by changing the code in the gesture control program. The results of the completed gesture control experiment demonstrated high gesture recognition performance as well as the ability to meet the requirements for controlling a quadcopter.