Reviewerly/exHarmony huggingface dataset:
ENHANCE VOCABULARY SKILL THROUGH READING REPETITION (REPEATED READING)

This research is an example of applied research. The aim of applied research is to increase scientific knowledge with a practical aim. In other words, the results of applied research will be immediately used for other practical purposes. The samples of this research are private class students who are taught English directly by the researcher. The number of samples of this research is 4 students who sit in grades 9 to 12 in high school. The research method used is observation, evaluation, and direct-interviews with the samples, then the data obtained are analyzed comprehensively. The result of this research; it is correct that by using the reading repetition strategy can improve the English vocabulary skills of the samples that have been appointed
The Language Documentation Quartet

As we noted in an earlier paper (Musgrave &amp; Thieberger 2012), the written description of a language is an essentially hypertextual exercise, linking various kinds of material in a dense network. An aim based on that insight is to provide a model that can be implemented in tools for language documentation, allowing instantiation of the links always followed in writing a grammar or a dictionary, tracking backwards and forwards to the texts and media as the source of authority for claims made in an analysis. Our earlier paper described our initial efforts to encode Heath’s (1984) grammar, texts (1980), and dictionary (1982) of Nunggubuyu, an Australian language from eastern Arnhemland. We chose this body of work because it was written with many internal links between the three volumes. The links are all encoded with textual indexes which looked to be ready to be instantiated as automated hyperlinks once the technology was available. In this paper, we discuss our progress in identifying how the four component parts of a description (grammar, text, dictionary, media, henceforth the quartet) can be interlinked, what are the logical points at which to join them, and whether there are practical limits to how far this linking should be carried. We suggest that the problems which are exposed in this process can inform the development of an abstract or theoretical data structure for each of the components and these in turn can provide models for language documentation work which can feed into hypertext presentations of the type we are developing.
Graduates’ Perceptions of a Software Engineering Undergraduate Program: a view from postgraduation and industry

Software Engineering undergraduate programs began to emerge in Brazil in 1985. Nowadays there are about 75 courses in the country. Since then, software engineers have started attending postgraduate programs and working in the industry. The graduates’ perception is an important tool for the identification of positive and negative points related to different aspects of their education, as well as putting into practice improvements in the formation of the future graduates. In this context, the objective of this article is to analyse the perceptions of graduates of the Software Engineering undergraduate program at Unipampa about their graduation, considering the program’s contribution to the postgraduate programs and the industry. A questionnaire with closed and open questions was sent to all graduates and the answers were analysed quantitatively and qualitatively. Based on the results, analyses were made and several contributions are presented, that may be useful to the academic community of software engineering education in the country, such as the adoption of active methodology Problem-Based Learning, the constant updating of the methodologies and technologies adopted by the undergraduate program, as well as continuous qualification of the professors.
A global private currency

The official launch of the Libra project in 2019, and the subsequent troubles experienced by the project, stimulated a vigorous debate, from different perspectives, on the pros and cons of a private currency with global ambitions. This paper describes the main characteristics of Libra and locates it in a partial but clear taxonomy of the increasingly crowded field of so-called «digital currencies». In the light of the regulatory problems that will arise, this paper also aims to assess the impact of this project on a crucial feature of the economic system that helped shape the institutional structure of modernity: the power to create money.
Semi-supervised face aging and rejuvenating

Face aging and rejuvenating work effectively in public security criminal investigation, cross-age recognition, and entertainment. However, three main problems still exist: the lack of accurate and sufficient dataset, low aging effect, and poor preservation of personal information. We propose a semi-supervised face aging and rejuvenating method for face aging and rejuvenating. In particular, a conditional encoder is utilized to map an input face into a latent vector, which is used by the generator network with age conditions to produce a new face. The latent vector preserves identity information, whereas the age label controls face aging or rejuvenating. To make generated features closer to prior features, the discriminator network is designed to assist the generator network. In addition, a cycle optimized method is utilized to preserve the personal information of the generated face. Experimental results demonstrate that our network can generate more realistic faces, both in personal identity and age consistency.
A Cross-chain Gateway for Efficient Supply Chain Data Management

With the development of economic globalization, a product usually involves different organizations from the origin to retail. These organizations form a supply chain to collaborate to provide products to end-users. The arrival of the digital age offers excellent convenience for the supply chain management. However, it is difficult for existing supply chain management systems to share credit, which leads to end-users’ concerns about the quality of products. The blockchain technology, characterized by tamper-proof, traceability, and distributed sharing, is expected to solve the it. Also, supply chain management also increasingly depends on the use of the Internet of things. However, the throughput limitation of current blockchain systems significantly constrains their applications to IoT data storage and management. In this paper, we propose a cross-chain solution based on IOTA and Fabric for supply chain data management. We design and implement a supply chain data management system based on a cross-chain gateway of blockchain. The system has three layers, including blockchain layer, business layer, and application layer, which provide essential logistics functions in supply chain management. Finally, we conduct experiments to validate the effectiveness of the implemented system.
Empirical Study Investation Intention Students

One individual who has the potential to invest in the capital market is a student. Along with the various subjects studied in lectures, students are also provided with knowledge that is related to investment. So that the 3 knowledge about or related to investment can be understood properly, students
Stratified Sampling for Extreme Multi-Label Data

Extreme multi-label classification (XML) is becoming increasingly relevant in the era of big data. Yet, there is no method for effectively generating stratified partitions of XML datasets. Instead, researchers typically rely on provided test-train splits that, 1) aren't always representative of the entire dataset, and 2) are missing many of the labels. This can lead to poor generalization ability and unreliable performance estimates, as has been established in the binary and multi-class settings. As such, this paper presents a new and simple algorithm that can efficiently generate stratified partitions of XML datasets with millions of unique labels. We also examine the label distributions of prevailing benchmark splits, and investigate the issues that arise from using unrepresentative subsets of data for model development. The results highlight the difficulty of stratifying XML data, and demonstrate the importance of using stratified partitions for training and evaluation.
THE STUDY OF THE RELATIONSHIP BETWEEN THE LEVELS OF REFLEXIVITY AND INDICATORS OF SELF-ACTUALIZATION AMONG FUTURE PRIMARY SCHOOL TEACHERS IN HIGHER EDUCATION INSTITUTIONS

The article outlines the results of an empirical study investigating the correlation between the indicators of reflexivity and indicators of the self-actualization process among the students majoring in "Primary Education" (from 2 to 5 courses). The goal of the article is to provide a qualitative description of the established relationship between the studied properties. With the help of diagnostic methods, the relationship between the levels of students’ reflexivity was established with such indicators of their self-actualization as: components of the reflexivity process, types of reflexivity, life-purpose orientations, levels of student aspirations. By studying the correlation of the reflexivity levels and individual self-actualization indicators of future teachers at a qualitative level, a link was established between them. In particular, the profile of a person with high and medium levels of reflexivity is characterized by the perspectiveness of reflection, i.e. marked tendency of future teachers towards thinking about future activities, planning, presenting the goal and results of their own professional activities; the expression of personal and professional components of reflection, which demonstrates their desire for self-awareness, attention to human nature, reflection on the potential of professional self-actualization; realistic level of aspirations, which distinguishes their confidence, persistence in achieving the goal and significant productivity. The profile of a person with a low level of reflexivity is characterized by retrospectiveness of reflection, i.e. the tendency to analyze their own mistakes, thinking about the causes, preconditions, motives of activity; the expressiveness of the emotional component of reflection, which demonstrates the focus on primitive vision of human nature and prevalence of emotional evaluation of events, experience and events; unrealistic low level of aspirations, which causes difficulties in defining student goals and ways to achieve them, difficulties with the implementation of their own life plans, as well as increasing demands on others. One of the problems of such students may be planning their own actions in the near future and their correlation with the professional perspective.
Penerapan Jaringan Syaraf Tiruan Dengan Metode Backpropagation Untuk Memprediksi Penjualan Sepeda Motor Yamaha Di Asli Motor Siantar

The research was conducted at CV. ORIGINAL SIANTAR MOTORS that have a problem, namely the lack of sales is a very bad thing for the CV because it results in the economy and the turnover of motorbike sales capital is not good. This problem can be overcome by using the Backpropagation method which is usually used by multilayer networks to minimize errors in the output by testing data using Matlab 6.1. The purpose of this research is expected that using this method can increase the number of sales of motorbikes in each type, and increase the economic income for employees who work at the CV in the form of bonuses. The results of this study are to estimate the highest type of motorcycle sales in 2020 using sales data for 2017, 2018 and 2019.
Nonnegativity for hafnians of certain matrices

We show that a complex symmetric matrix of the form A(Y,B)=[YBB⊤Y¯], where B is Hermitian positive semidefinite, has a nonnegative hafnian. Some positive scalar multiples of matrices A(Y,B) are encodable in a Gaussian boson sampler. Further, the hafnian of this matrix is non-decreasing in B in the sense that hafA(Y,L)≥hafA(Y,B) if L⪰B.
Real-World Single Image Super-Resolution: A Brief Review

Single image super-resolution (SISR), which aims to reconstruct a high-resolution (HR) image from a low-resolution (LR) observation, has been an active research topic in the area of image processing in recent decades. Particularly, deep learning-based super-resolution (SR) approaches have drawn much attention and have greatly improved the reconstruction performance on synthetic data. Recent studies show that simulation results on synthetic data usually overestimate the capacity to super-resolve real-world images. In this context, more and more researchers devote themselves to develop SR approaches for realistic images. This article aims to make a comprehensive review on real-world single image super-resolution (RSISR). More specifically, this review covers the critical publically available datasets and assessment metrics for RSISR, and four major categories of RSISR methods, namely the degradation modeling-based RSISR, image pairs-based RSISR, domain translation-based RSISR, and self-learning-based RSISR. Comparisons are also made among representative RSISR methods on benchmark datasets, in terms of both reconstruction quality and computational efficiency. Besides, we discuss challenges and promising research topics on RSISR.
FLASH FLOOD MANAGEMENT IN ARID REGION: A CASE STUDY URBAN BANI WASIL VILLAGE, SOHAG GOVERNORATE

Flash floods are serious phenomenon that attacks and troubles people in many areas’ under-mountain region, so the society should deal with these extreme natural events. This article is showing an example of flash flood modeling to protect the urban bani wasil village from the flash flood risk, so obstacle dam with channel have been used to flash flood mitigation purpose. A design flood wave that used, is for recommence period of 100 years, which estimate by HEC-HMS to be 456,000 m
University as an Intellectual Polis: Development Management in Policy Terms

The author considers the university existing in two modes: as an organization (a system of functional units) and as an intellectual polis (a self-governing community of active and autonomous subjects). Being an intellectual polis, the university is able to act on the frontier of science and technology, to create innovations, and to act as an institution for the development of society and human. A hypothesis is proposed: the development policy, understood as building a polis (configuring the interests and goals of various actors, forming the university community, regulating its life), is immanent for the university. It is this policy that corresponds to the complexity of the university as a system with many centers of activity and potential points of growth. The method of conceptual analysis as applied to studying the university policy reveals the following significant problems and, correspondingly, the following lines of analysis: 1) defining the subjects of university community and the conditions of their appearance; 2) structuring the political reality – explicating interests, distinguishing and solving contradictions, searching for balances, adopting political decisions, creating a «social contract»; 3) building the policy, which includes special analytics, creating a space for communication, shaping the university community, working with ideologemes, discourses, traditions, and norms; 4) implementing local policies. Of particular importance for the university is the participatory policy, which makes it possible to mobilize the activity and initiative of employees and students, and the policy of partaking, which involves partners, stakeholders, alumni in development processes. The development policy is generally aimed at changing the entire way of life and activity, the type of relations and communications within the university, i. e. at creating a favorable environment for the growth points uprise and for scientific, educational, cultural, entrepreneurial etc. initiatives and projects implementation. The paper is originally associated with applying the concept of university policy in the context of the university development problems. This work can be used in management consulting and as an element of educational programs for rectors and university management teams.
Statistically Significant Stopping of Neural Network Training

The general approach taken when training deep learning classifiers is to save the parameters after every few iterations, train until either a human observer or a simple metric-based heuristic decides the network isn't learning anymore, and then backtrack and pick the saved parameters with the best validation accuracy. Simple methods are used to determine if a neural network isn't learning anymore because, as long as it's well after the optimal values are found, the condition doesn't impact the final accuracy of the model. However from a runtime perspective, this is of great significance to the many cases where numerous neural networks are trained simultaneously (e.g. hyper-parameter tuning). Motivated by this, we introduce a statistical significance test to determine if a neural network has stopped learning. This stopping criterion appears to represent a happy medium compared to other popular stopping criterions, achieving comparable accuracy to the criterions that achieve the highest final accuracies in 77% or fewer epochs, while the criterions which stop sooner do so with an appreciable loss to final accuracy. Additionally, we use this as the basis of a new learning rate scheduler, removing the need to manually choose learning rate schedules and acting as a quasi-line search, achieving superior or comparable empirical performance to existing methods.
FORMATION OF MOTIVATION FOR PROFESSIONAL ACTIVITY IN FUTURE PRIMARY SCHOOL TEACHERS BY BYOD TECHNOLOGY

The article analyzes the features of the formation of motivation for professional activity in future primary school teachers by means of BYOD’s technology. The authors revealed the essence of the concepts «motivation», «motivation to professional activity», «BYOD’s technology». Motivation to professional activity was characterized as a set of motivating factors that determine the activity of an individual, system of motives, needs, interests, aspirations, incentives, guidelines, value orientations, aimed at conscious choice of profession and long-term responsibilities which are associated with this profession. The authors substantiate the necessity of introduction of BYOD’s technology in the educational process of higher education institutions, which will promote the formation of motivation for professional activity in future primary-school teachers. The methodological basis of the study is a systematic approach to the studing of the provisions of pedagogical science regarding the application of BYOD. BYOD’s technology is seen as an innovative technology that allows using personal mobile devices (smartphones, tablets, netbooks, e-book, iPhone, iPad, etc.) as learning tools. The functional possibilities and peculiarities of the introduction of BYOD’s technology in the educational process of higher learning institutions are clarified as an effective means of forming motivation for professional activity in future primary-school teachers. It is determined that the introduction of BYOD’s technology in the educational process of higher education allows to intensify the training of future primary-school teachers; differentiate and individualize the learning process; streamline forms of information; use teaching time effectively; integrate students' knowledge of fundamental, psychological, pedagogical and methodological disciplines; get quick feedback. It is proved that the use of BYOD’s technology creates favorable conditions for the formation of students' motivation for professional activity, successful mastery of the profession of a primary-school teacher.
Market Research and Design of Integrated Cultural and Creative Processing System

Abstract In recent years, with the improvement of the material living standards of our people, the spiritual life has gradually improved. The integrated development of cultural and creative industries and manufacturing is an objective and necessary trend. With the gradual deepening of the integrated development of China’s cultural and creative industries and manufacturing, the Chinese government has also given strong policy support to the integrated development of cultural and creative industries and related industries. In this context, the design of cultural and creative-related processing systems is particularly important.
The approach to building a graph knowledge base using social media data

The aim of the work was to develop a model of a knowledge base of an information system that collects information from various social networks. The model should improve search efficiency and facilitate the unification of data from heterogeneous sources. The work presents an ontological model for the unification of data profiles of different social networks. This model avoids data redundancy by including contextual information in annotations to ontology relations. In addition, an approach to information retrieval using syntagmatic patterns in the formation of a database tree of posts of social network users is proposed. The article also presents the results of experiments with data from the social network Facebook confirming the effectiveness of the proposed models and algorithms.
Weakly Supervised Learning Algorithm to Eliminate Irrelevant Association Rules in Large Knowledge Bases

The construction and population of large knowledge bases have been widely explored in the past few years. Many techniques were developed in order to accomplish this purpose. Association rule mining algorithms can also be used to help populate these knowledge bases. Nevertheless, analyzing the amount of association rules generated can be a challenge and time-consuming task. The technique described in this article aims to eliminate irrelevant association rules in order to facilitate the rules evaluation process. To achieve that, this article presents a weakly supervised learning technique to prune irrelevant association rules. The proposed method uses irrelevant rules already discovered in past iterations and prunes off those with the same pattern. Experiments showed that the new technique can reduce and eliminate the amount of rules by about 60%, decreasing the effort required to evaluate them.
Mapping Heavy Metals Pollution in Urban Area by Using Gis Techniques in Duhok Governorate, Kurdistan Region of Iraq

In the current century, urbanization is the main reason of the prompt growth in metropolitan areas. These rapid changes in urban form have serious negative consequences on environment quality. Moreover, the air pollution is considered amongst the most significant environmental problems in the world. Recently, GIS tool contribute efficiently in monitoring the spatiotemporal multi-scales. For the present study the inverse distance weight method of interpolation is followed. Therefore, the aim of this study is to find the rate of some detrimental heavy metals (Pb, Cd, and Cu) then, relying on GIS application the interpolation in different city categories were determined. The results showed control areas characterized by the lowest value of metals, followed by peri-urban areas, and then the highest value comes in highway and city center. Furthermore, the supreme values of heavy metal contamination were found in sites characterized by heavy traffic jam for the most part, by the roadsides. In conclusion, the utmost values of heavy metal contamination were found in sites characterized by heavy traffic jam for the most part, by the roadsides