Reviewerly/exHarmony huggingface dataset:
MODERN VOCATIONAL AND ARTS EDUCATION: CONTENT, PARADIGMS, TRADITIONS, INNOVATIONS, PROBLEMS

The article specifies the content of vocational and arts education as an educational and educative, as well as a developing system of theoretical and practical training of would-be specialists of art specialties. It results in their mastering of pictorial literacy, formative competence, and art skills. The article proves the paradigm methodology of this system functioning that includes complex graphic, pictorial, forming, and compositional students’ educating while art training and using integrative academism and digitalization. Here it is necessary to account just the proportion of art and pedagogical traditions, and innovative studying methods. Proceeding from the above mentioned facts the following different unsolved problematic issues are described: organization and institution oriented problems lie in poor techniques, alternative art and educational services, unacceptability of distant education; program and content issues show imperfection of architecture and creative orientation of educational and professional programs, one-sided handicraft descriptive training that exclude current developmental tendencies of visual art; educational and methodological – methodological limitation of authorial art schools, preference of conservative art and pedagogical methods, lack of specific literature on digital descriptive art; information and technological problems demonstrate information addiction to Internet sources, poor computer and program equipment and some difficulties in mastering the appropriate technologies; personal and self-organizing prove narrowing of interpersonal coordination, art and aesthetic world-view and determined self-regulation, as well as inadequate self-appraisal of educational and formative students’ progress.&#x0D; Keywords: vocational and arts education, paradigm, tradition, innovation, descriptive training, academism, digitalization, information technologies, would-be specialists of art specialties.
Heart Disease Diagnosis Expert System Using Nearest Neighbour Algorithm

Heart disease is a disease that is very dangerous for human survival, the World Health Organization (WHO) states in 2016 an estimated 17.9 million people died from cardiovascular disease, of these deaths 85% were caused by heart attacks and strokes. More than three-quarters of deaths from cardiovascular disease occur in low-income countries (WHO, 2017). Therefore, heart disease must be treated early when symptoms appear. Advances in Artificial Intelligence technology, one of which is an expert system, can overcome this problem by designing a web-based computer system that uses databases and programming languages such as PHP-MySQL so that it can help heart patients to diagnose the disease. Therefore, the author has the aim of this study is to build a web-based expert system for diagnosing heart disease. This expert system application uses the Nearest Neighbor Retrieval method in order to represent the knowledge of cardiologists and can be useful for the community. This system can diagnose 27 symptoms or conditions related to heart disease, so that the diagnosis of these symptoms will produce output in the form of the probability of possible disease according to the correlation of the symptoms entered. This system is effective enough to be used as an alternative solution for the community in diagnosing heart disease, because this system has been tested by experts and produces an accuracy rate of 90.00%.
A Trusted and Privacy-Preserving Carpooling Matching Scheme in Vehicular Networks

With the rapid development of intelligent transportation, carpooling with the help of Vehicular Networks plays an important role in improving transportation efficiency and solving environmental problems.However, attackers usually launch attacks and cause privacy leakage of carpooling users.In addition, the trust issue between unfamiliar vehicles and passengers reduces the efficiency of carpooling.To address these issues, this paper introduced a trusted and privacy-preserving carpooling matching scheme in Vehicular Networks (TPCM).TPCM scheme introduced travel preferences during carpooling matching, according to the passengers' individual travel preferences needs, which adopted the privacy set intersection technology based on the Bloom filter to match the passengers with the vehicles to achieve the purpose of protecting privacy and meeting the individual needs of passengers simultaneously.TPCM scheme adopted a multi-faceted trust management model, which calculated the trust value of different travel preferences of vehicle based on passengers' carpooling feedback to evaluate the vehicle's trustworthiness from multi-faceted when carpooling matching.Moreover, a series of experiments were conducted to verify the effectiveness and robustness of the proposed scheme.The results show that the proposed scheme has high accuracy, lower computational and communication costs when compared with the existing carpooling schemes.
MAPPING POTENTIAL AREAS TO GENERATE PHOTOVOLTAIC ENERGY IN SANTA CATARINA’S STATE

The need for diversification of the world's electricity matrix has led to an increase in the demand for energy production with a focus on reducing environmental impacts. With the intensification of investments and incentives in the development of innovative projects for energy generation, from renewable sources, it was verified the occurrence of benefits from both the electric, socioeconomic and environmental point of view. This research has as main focus the application of Geographic Information Systems (GIS) in conjunction with the multicriterial Evaluation Analytic Hierarchy Process (AHP), aiming to define the most favorable areas for installation of systems of electric power generation through solar energy photovoltaic, with the state of Santa Catarina being the object of study. A set of criterias were defined regarding the implementation of solar power plants, such as: the availability of the existing solar radiation in the area, the distance of electric power transmission lines, distance from streets, distances from urbanized areas, the declivity of the area, the existence of conservation units, the hydrography and, land use and occupation. Afther that, it was possible to perform analysis and considerations on the highlighted areas, with greater aptitude to build solar energy plants, verifying if the adopted criterias provided a coherent result due to the geographic, occupational and solar irradiance characteristics of Santa Catarina State. It was also possible to quantify the areas identified as more proper, by presenting them on a solar photovoltaic potential map and also, to estimate its total solar energy potential.
REVIEW on FRAUD DETECTION in CREDIT CARD TRANSACTIONS USING MACHINE LEARNING TECHNIQUES

Due to the rapid improvement in the e-commerce technology, the utilization of the credit cards has augmented to the maximum. Usage of credit card has become the trendiest style of payment for an individual online as well as habitual acquisition, luggage of credit card fraud also growing linearly. Economic fraud is increasing highly with the development of modern technology, consequential in the loss of billions of dollars worldwide each year. The fraud transactions have been happening very much lately, such that the simple pattern corresponding techniques is not sufficient to find. Implementation of efficient fraud detection systems based on machine learning techniques has thus become effective for all credit card issuing banks to minimize their loss. Many techniques based on Artificial Intelligence, Data mining, Machine learning, Genetic Programming etc., has evolved in detecting various credit card fraudulent transactions. The details of the credit card transactions undergo a scrutiny process to allow a modeled credit card fraud detection system to be tested. This method gives an accurate and fraud score and tries to classify a transaction between a genuine one and a fraud one, the probability of fraud transactions can also be determined.
Improving the usability of faceted exploratory search tools

For some years now, the faceted exploratory search has faced tremendous challenges to devise a simple, instantly understandable, and usable user interface to explore the vast amount of data and information available on the Internet. In our previous research, we have indicated certain burdens with some of the existing approaches. Therefore, in this research, we are trying to uncover the attributes that influence users to use the faceted feature of the exploratory search technique. In this paper, we presented several key elements of existing search engine systems, the best of their major features were explored, and guidelines that will help to improve the usability of faceted exploratory search have been suggested and offers a further understanding of the fundamental characteristics of the faceted search, which shows the motivations to use the search, also presented the main parts of a pluggable search system.
Qubit Clock in Quantum Cosmology

We investigate the emergent time scenario in quantum cosmology based on the Page–Wotters approach. Using a quantum cosmological model with a qubit clock, it is demonstrated how the entanglement between the qubit clock and the geometry derives emergence of a time parameter, which defines evolution of the timeless quantum state of the universe. We show that the universe wave function conditioned by a qubit clock obeys the standard Schrödinger equation and the Fisher information for the clock state, which quantifies entanglement between the universe and the clock, and contributes as a negative energy density.
Petrographic and geochemical study of Doua granitoids (adamawa-yade domain, center Cameroon): Petrogenesis and geodynamic implication

The region Doua is located in the central area or Adamawa-Yade domain of the Pan-African fold belt in Cameroon. This work focuses on the petrography and geochemistry of granitoids in this region. The study area is made up of plutonic rocks (amphibole and biotite granite, biotite and muscovite granite, syeno-diorite, syenite. The geochemical study of the granitoids in the area shows that the rocks are magnesian and slightly iron-bearing, potassic to hyper-potassic calc - alkaline, metaluminous and belongs to type I granitoids. The profiles of the rare earths (REE) show a negative anomaly in Eu. The multi-element spectra show positive anomalies, or negative anomalies for some samples in Ba and Negative anomalies in Nb-Ta, Sr and Ti. The process which led to the formation of these rocks is fractional crystallization. These rocks are setup in a syn-collisional subduction environment (volcanic arc granitoids).Â Â Â
Pengaruh Sistem Informasi Akuntansi Penjualan Kredit Terhadap Pengendalian Internal Penjualan Kredit

The utilization of information technology in expediting the information process is beneficial for companies in the efficiency of their production processes. For this reason, companies need to improve efficiency concerning financial information so that the use of information technology can carry out effectively. This study departs from the problems that occur in the object of research, which indicate a gap in credit sales internal control. This study aims to determine the effect of credit sales information systems on credit sales internal control. The research method used is verification with a simple regression analysis technique. The results showed a significant effect of credit sales information systems on credit sales internal control. The study results recommend that interested parties, in this case, the company pay more attention to the internal control of credit sales to reduce the possibility of errors that occur in the field.
Perancangan Aplikasi Pengenalan Kebudayaan dan Pariwisata Kabupaten Cianjur Berbasis Android

Mobile technology is now developing very rapidly so it is very suitable to be used as a medium to introduce culture and tourism in Cianjur Regency, especially Android-based mobile technology. Android is an operating system for Linux-based mobile software that includes an operating system, middleware and applications. Android provides an open platform for developers to create an application. Culture and tourism are closely related to society. The development of culture and tourism will also affect people's lives later. Currently, efforts to introduce or promote culture in Indonesia are still very limited, especially in the Cianjur Regency area. With the approach of using an Android-based mobile application, it is hoped that the community, especially the younger generation, can more easily access this application and can find out in detail the culture and tourism of Cianjur Regency itself. The system development methodology used is the waterfall model. With the presentation of information and the appearance of the application of the introduction of culture and tourism in Cianjur Regency, the community, especially the younger generation, will be more familiar with their culture and tourism, which is very important so that cultural values ​​are not lost in time.
Generating Face Images Based on Golden Ratios for Facial Beauty

Golden ratio is considered as an index of beauty in both natural and artificial objects.&nbsp;In this paper, we propose a method for generating face images based on the golden ratios discovered so far for facial beauty.&nbsp;For example, we focus on some existing golden ratios for facial beauty, where we solve underdetermined systems by introducing additional and reasonable equations.&nbsp;Experimental results showed that the proposed method generates natural face images based on user inputs.&nbsp;We also evaluated the beauty of the generated face images objectively and subjectively, and observed that the proposed method improved the evaluation scores on average for both objective and subjective evaluations. &nbsp
Awareness and usage pattern of e-shodhsindhu resources: A case study of sri venkateswara university library users

Library Consortia is a network for the purchasing and accessing e-information to provide immediate access to greater resources for users of individual libraries. The e-ShodhSindhu is the Consortium for Higher Education E-Resources merging three consortia, i.e. UGC-INFONET Digital Library Consortium, INDEST-AICTE Consortium and N-LIST in December 2015. The e-ShodhSindhu is meant to supply current and depository access to E-Resources i.e. e-books, e-journals, e-journal archives, on-line databases to its member establishments at a negotiated rate of subscription. The purpose of this paper is to find out user awareness and usage of e-ShodhSindhu Digital Library Consortium by Faculty Members and Research Scholars of Sri Venkateswara University. A structured questionnaire was designed and randomly distributed to 350 respondents for data collection, among the faculty members and research scholars. Out of which, 274filled-in questionnaires were returned. The study reveals that most of the respondents are aware and use digital library consortium but there is a need to conduct more awareness/training programs for enhancing the use of e-ShodhSindhu Digital Library Consortium.
Building Knowledge Base for the Domain of Economic Mobility of Older Workers

This paper presents the work of building a knowledge base for the domain of economic mobility for older workers. To extract high-quality entities and relations that are important to the specific domain, domain specificity scores for entities and relations are designed and applied. To assist human-in-the-loop ontology construction, a novel topic modeling method, named “description guided topic modeling”, is developed. It clusters domain entities based on their embedding and organizes those clusters according to descriptions of potential topics important to the domain. To demonstrate feasibility, these methods are applied to a collection of knowledge sources related to economic mobility for older workers. These methods are further tested through a case study on one specific barrier for economic mobility, i.e., limited broadband access for older workers, to show the potential of these methods.
DEVELOPMENT OF PROFESSIONAL THINKING OF THE FUTURE TEACHER IN THE CONDITIONS OF THE UNIVERSITY

the article examines the phenomenon of professional thinking as the main determinant of the development of professional mobility of the individual, transforming the influence of all other social factors, as well as the possibility of formation and development of professional thinking in the format of the movement "Young professionals (WorldSkills)".
Neyman’s truncation test for two-sample means under high dimensional setting

Multivariate two-sample testing problems often arise from the statistical analysis for scientific data, especially for bioinformatics data. To detect components with different values between two mean vectors, well-known procedures are to apply Sum-of-Squares type tests, such as Hotelling’s T2-test. However, such a test is not suitable to high dimensional settings because of singular covariance matrix and accumulated errors. Nowadays, a lot of test methods for high dimensional data are developed, mainly including two types, Sum-of-Squares type and Max type. The Sum-of-Squares type test statistics have poor performance against sparse alternatives. And the Max type test statistic is not powerful enough to deal with non-sparse datasets. In this paper, we propose a Max-Partial-Sum type statistic named Neyman’s Truncation test, which is conducted by maximum partial sums of marginal test statistics. Besides non-sparse datasets, Neyman’s Truncation test also has great power against dense and sparse alternatives. The asymptotic distribution of the test statistic under null hypothesis is obtained and the power of the test is analyzed. To avoid the slow convergence rate of the asymptotic distribution, we realize our method by Bootstrap procedures. Simulation studies and the analysis of leukemia dataset are carried out to verify the numerical performance.
Relationship Between Nursing Students Innovativeness Characteristics and Online Learning Systems Acceptance

Purpose: This study was aimed to determine the relationship between undergraduate nursing student's individual innovativeness characteristics and technology acceptance during emergency distance learning due to COVID-19 pandemic.Methods: The cross-sectional study was conducted with 350 nursing students.Personal information form, individual innovativeness scale (IIS), and online learning systems acceptance scale (OLSAS) were used for data collection.The independent samples t-test, Oneway ANOVA, Duncan test, Pearson's correlation analysis was used for data analysis.Results: Most of the nursing students were at a traditionalist and late majority innovativeness characteristic level.Perceived ease of use, perceived usefulness sub-dimensions, and total OLSAS mean scores were 9.67 ± 3.21, 16.26 ± 6.92, and 25.92 ± 9.26, respectively.A statistically significant, weak positive correlation was found between the total IIS, opinion leadership, and risk-taking scores and the total OLSAS, OLSAS-PEU, and OLSAS-PU scores.Students with high OLSAS, perceived ease of use, and perceived usefulness scores expressed positive opinions toward the lesson in all dimensions, such as interest, adaptation, success, perceived benefit from the lesson, and motivation.Conclusion: It can be said that technology acceptance is important in nursing education and as the perceived ease of use and perceived usefulness increases, a positive effect is seen on outcomes, such as interest, adaptation, motivation and success.When designing online learning systems to be used in nursing education, recommended to take into account innovativeness, the perceived usefulness, ease of use.
Equation and inequation characteristics in Mathematics of grade 10 and grade 11 of the Lao People's Democratic Republic

In the high school math curriculum of the Lao People's Democratic Republic (Lao PDR), the equation, inequation, set of equations, set of inequations occupy a fairly large density. The teaching and learning of this topic, in addition to continuing to develop knowledge at the lower secondary level, is necessary to equip students with competencies and ethical qualities. This paper focuses on studying and analyzing the characteristics of the equation, inequation, set of equations, set of inequation in grade 10 and 11 textbooks according to the components in teaching and learning (application component, academic component, and Interdisciplinary component) and in different forms and solutions to be the foundation for effective teaching of this topic in the Lao PDR. Through research and analysis, we clarify the ingredients that have been focused on and those that have not been given proper attention in the equations and inequations of grade 10 and grade 11 textbooks in the Lao PDR.
Pairwise Margin Maximization for Deep Neural Networks

The weight decay regularization term is widely used during training to constrain expressivity, avoid overfitting, and improve generalization. Historically, this concept was borrowed from the SVM maximum margin principle and extended to multiclass deep networks. Carefully inspecting this principle reveals that it is not optimal for multi-class classification in general, and in particular when using deep neural networks. In this paper, we explain why this commonly used principle is not optimal and propose a new regularization scheme, called Pairwise Margin Maximization (PMM), which measures the minimal amount of displacement an instance should take until its predicted classification is switched. In deep neural networks, PMM can be implemented in the vector space before the network’s output layer, i.e., in the deep feature space, where we add an additional normalization term to avoid convergence to a trivial solution. We demonstrate empirically a substantial improvement when training a deep neural network with PMM compared to the standard regularization terms.
Research on the Coordination Mechanism of the Integration and Optimization of High-Quality Online Teaching Resources in Universities in the Post-Epidemic Period

The emergence of the COVID-19 at the end of 2019 has greatly disrupted the normal teaching order in universities, so the universities have begun to explore new teaching models, such as build online teaching resources, and carry out online teaching. However, the repeated construction of online teaching resources by various universities has also caused a great waste of resources, and there is an urgent need to integrate and optimize the allocation of existing high-quality online teaching resources in universities. Using the relevant theories and methods of Synergetics, this paper analyzes the coordination reason and coordination mechanism of the integration and optimization of high-quality online teaching resources in universities, and conducts a modeling study on the collaborative process of the integration and optimization of high-quality online teaching resources in universities.
Community development and national idea

The main objective of this topic is to enlighten the importance of the national idea in the development of society and its role in the development of the spirituality of the population especially the youth. After all, civil society can be restored with the help of citizens with a high level of ideological consciousness and spirituality. Even today, youth activity plays an important role in various countries experiencing socio-political changes and, more precisely, civil society is recovering.