Reviewerly/exHarmony huggingface dataset:
PROJECTS FOR PROACTICE EDUCATIONAL TECHNOLOGY FOR DEVELOPMENT OF EMOTIONAL INTELLIGENCE IN PRESCHOOL AND HIGHER EDUCATION

The inclusion of emotional education at every stage of a person's learning process is becoming increasingly popular and recognizable in the field of education sciences nowadays. The paper presents two proactive educational technologies for the development of emotional intelligence. The first technology has already been tested and aims at developing the emotional intelligence of 6-7 year old children through the perception of music. The hierarchical structure of emotional intelligence provides clear consistency in the elaborate of musical tasks in proactive pedagogical technology. The methodology is aimed at identifying children's knowledge and skills to recognize, name and express emotions as the first base level and the main source of empathy formation and manifestation. “Interacting smoothly with others” appears as an ability in a process of development and at the same time as the ultimate highest result of the previous two levels - recognition and expression of emotions and empathy. At the same time, specific relations and interdependence are traced in the course of musical training to be used in favor of stimulating the development of emotional intelligence in its entirety. The second one is an on-going project whose goal is to elaborate a methodology for developing the emotional intelligence of students in the conditions of Bulgarian higher pedagogical education. This methodology is based on the principles of the constructivist approach in the context of the subject "Music projects in the kindergarten" and presents stages, tasks, expectations and effects of its potential usage. Based on that approach and starting from "four branches model" by Meyer and Salovey, the tasks that can be put into future development of learning strategies for the development of emotional intelligence of students should form skills for: 1. “Perception, Appraisal, and Expression of Emotion; 2. Emotional Facilitation of Thinking; 3. Understanding and Analyzing Emotions; Employing Emotional Knowledge; 4. Reflective Regulation of Emotions to Promote Emotional and Intellectual Growth;”
Corrigendum to "Cluster, classify, regress: A general method for learning discontinuous functions [<xref ref-type="bibr" rid="b1">1</xref>]"

We as authors of paper [1] wish to correct the order of all authors to alphabetical order according the authors' last names.
Exploring the Unknown – Query Synthesis in One-Class Active Learning

The quality of a classifier hinges on the availability of training data.In scenarios where data collection is restricted or expensive, e.g., compute-intensive simulations, training data may be small and/or biased.In principle, data synthesis then allows to extend the data set.Yet it is difficult for a user to extend the data without any guidance when the data space is unbound or of high dimensionality.In this article we target at the domain expansion problem, i.e., expanding the classifier knowledge beyond an initial sample that completely falls into one class.We first propose a general framework for query synthesis in the one-class setting.Then we present a new query synthesis strategy to quickly explore the data space beyond the initial sample.For the evaluation we derive three options to simulate an oracle in the one-class setting that can answer arbitrary queries.Experiments on both synthetic and real world data demonstrate that our new query strategy indeed expands the knowledge of a oneclass classifier beyond a small and biased initial sample.Our strategy outperforms realistic baselines on most domain expansion problems.
LibGuides: COVID-19 Support for Libraries and Librarians: Database and Vendor Offers

Tools to help West Virginia libraries and librarians in response to COVID-19. Several vendors have made resources free for several weeks or months in spring and summer 2020. We'll update here as we learn more.
LibGuides: Student Support for Remote Learning: Getting Started with Blackboard

Your guide and resource for everything you need to prepare for and conquer remote learning. How to get started in Blackboard — From Logging on to Submission
EDUCATION AS A SOFT POWER TOOL: IRAN’S APPROACH AS PUBLIC STRATEGY

Researchers have discussed the significance of education as a Soft power tool for decades. These discussions typically focus on higher education and student exchange programs. All countries, even large and medium-sized ones, use education as a soft force to achieve their political goals. Consequently, it is important to use soft power strategically and effectively to maximize its benefits. This study explores Iran‘s dissemination cultural institutes and schools in the context of education and analyzes Iran‘s multi-channel education strategy. More particularly, this research shows the ways in which Iran combines sending Iran students to other countries for education, opening institutes in other countries and give scholarships to international students. Descriptive and analytical approaches were used in this research.The aim of this research is to understand Iran soft power in education, the purpose of this research is to understand the importance of education in the world of politics. On this analysis based five main benefits of Iran‘s approach, this benefits have been identified:1) An opportunity to try to change the stereotype of Iran and then liberate from trade restrictions;2) The construction of a favorable image of Iran in the eyes of the governments and public resulting from the provision of jobs and study opportunities;3) Opportunities to promote Iran culture and language and foster cultural exchanges;4) Enhancing Iran's religious position;5) Convinces the world that it is a democratic country despite its private ideological inclinations.
Cross-layer CNN Approximations for Hardware Implementation

Convolution Neural Networks (CNNs) are widely used for image classification and object detection applications. The deployment of these architectures in embedded applications is a great challenge. This challenge arises from CNNs’ high computation complexity that is required to be implemented on platforms with limited hardware resources like FPGA. Since these applications are inherently error-resilient, approximate computing (AC) offers an interesting trade-off between resource utilization and accuracy. In this paper, we study the impact on CNN performances when several approximation techniques are applied simultaneously. We focus on two of the widely used approximation techniques, namely quantization and pruning. Our experimental results showed that for CNN networks of different parameter sizes and 3% loss in accuracy, we can obtain up to 27.9%–47.2% reduction in computation complexity in terms of FLOPs for CIFAR-10 and MNIST datasets.
Using Solar Energy for Irrigation in Kirkuk City and Outskirt

In this study, the possibility of using the produced energy from solar energy system for irrigation in Kirkuk city and outskirt is studied. The power from the photovoltaic PV panel is (300 W). Three values for the well depth (h) which are (60,70, and 80 m) are used respectively. Depending on the data from Iraqi Meteorological Organization and Seismology, the relations between the angle of solar radiation along the year, the solar radiation, and the actual and theoretical solar brightness in each month showed in graphical diagrams. The volume flow rate was represented graphically for each value of well depth. It was found that the volume flow rate increase with increasing PV panel power and the solar system is more efficient in mid-day and at mid-year (summer season). However, flow rate was inversely proportional and affected by the well depth. The solar power from the PV panel can be used in irrigation since the volume flow rate from the system fulfil water requirements for most crops that cultivated in Kirkuk city.
LibGuides: Spring 2020 Library Guide : Trial Resources

This guide provides information on the Lewis Library's response to the coronavirus (COVID-19) outbreak, including updates to our hours of operation, online access to library resources and services, and other helpful links.  Here is a listing of temporary databases and resources available
LibGuides: Student Support for Remote Learning: Remote Learning Strategies

Your guide and resource for everything you need to prepare for and conquer remote learning. Strategies to help students re-frame and adjust their study habits for remote learning environments and situations.
Unsupervised domain adaptation with exploring more statistics and discriminative information.

Unsupervised domain adaptation aims at transferring knowledge from the labeled source domain to the unlabeled target domain. Previous methods mainly learn a domain-invariant feature transformation, where the cross-domain discrepancy can be reduced. Maximum Mean Discrepancy(MMD) is the most popular statistic to measure domain discrepancy. However, these methods may suffer from two challenges. 1) MMD-based methods only measure the first-order statistic information across domains, while other useful information such as second-order statistic information has been ignored. 2) The classifier trained on the source domain may confuse to distinguish the correct class from a similar class, and the phenomenon is called class confusion. In this paper, we propose a method called \emph{Unsupervised domain adaptation with exploring more statistics and discriminative information}(MSDI), which tackle these two problems in the principle of structural risk minimization. We adopt the recently proposed statistic called MMCD to measure domain discrepancy which can capture both first-order and second-order statistics simultaneously in RKHS. Besides, we proposed to learn more discriminative features to avoid class confusion, where the inner of the classifier predictions with their transposes are used to reflect the confusion relationship between different classes. Moreover, we minimizing source empirical risk and adopt manifold regularization to explore geometry information in the target domain. MSDI learns a domain-invariant classifier in a unified learning framework incorporating the above objectives. We conduct comprehensive experiments on five real-world datasets and the results verify the effectiveness of the proposed method.
The Relationships of Some Logic Programs

To discuss the relationships of several logic programs, we introduce some classes of logic programs - canonical logic programs (CPams), normal logic programs (LPams) and two-valued logic programs (TPams). We construct the translations between CPams and TPams, the translations between CPams and LPams, LPams and TPams. The results will pave the way to discuss some other relationships of them, such as expressive ability.
IMPROVING STUDENTS’ WRITING SKILL IN RECOUNT TEXT BY USING FACEBOOK CLOSED GROUP

This study is a collaborative action research. The general objective of this study is to improve students’ writing skill in recount text using facebook closed group. While, the specific objectives of this study is to find out whether or not facebook closed group can be a media for students and teacher in learning to write recount text outside of class and it describe whether facebook closed group could improve students’ writing skill especially in writing recount text. This collaborative action research was conducted at SMA 1 Sultan Agung Semarang. The sample of this study is students in tenth grade of Mipa 2. The procedure of this study consisted of planning, action, observing, and reflection. The observation during English teaching process was helped by collaborator. This study is quantitative therefore; the data was collected through interview, students’ writing result, and observation sheet. The students were given homework to write their recount text on facebook closed group and for each cycle they was given a test to make a recount text. The result showed that their score was improved in each cycle. In the first cycle there were only 6 studets who pass the passing grade score, while in the cycle 1 there were 29 students who pass the passing grade score. In the last cycle all of the students’ score in Mipa 2 class was pass the passing grade. The result of this study proved that facebook closed group improved students’ writing skill especially in writing recount text. Keywords: Facebook Closed Group, Recount Texts, Students’ Ability, and Quantitative Action Research.
Preface: International Conference of Science Educators and Teachers (ISET) 2018

First Page
해방 전후 국사교과서에 나타난 역사교육 인식 -『중등조선역사(中等朝鮮歷史)』, 『증정(增訂) 중등조선역사(中等朝鮮歷史)』, 『중등국사(中等國史)』의 비교-

This study compared the contents of Hwang, Ui Don(黃義敦)’s Secondary School Korean History(『中等朝鮮歷史』) published in 1926, Additional and Revised Secondary School Korean History(『增訂 中等朝鮮歷 史』) published in 1928 and Secondary School National History(『中等國史』) compiled in September 1945, right after Korea’s liberation from Japanese colony, analyzing the view of the nature of history textbook for pupils’ history learning. The results this study are as follows.First, history textbook authors was interested in making students understand history easier. Thus, they changed the Chinese letter style or old-fashioned sentences into Korean modern letters, and deleted some detailed historical facts for understanding of the outline and trends of history. Such revision of contents depended on history textbooks author’s perspective of history education and educational judgment.Second, the revised contents of history textbook were based on historians’ researching results and common arguments. Accordingly, some descriptions of historical facts were modified and excessive expressions of national sentiment were reduced. However, some contents have been revised to strengthen national consciousness, depending on the research results. These revisions basically reflected the of history education for teaching students.Korean history textbooks in 8·15 Liberation Times, for example Secondary School National History, which hurriedly reprinted Korean history books published under Japanese colonial rule, could not escape the historical interpretation of Japanese colonial historiography. It could not contain any areas other than political history and cultural history. However, the revision helped students understand the history and properly adjusted the width and depth of historical facts that they needed to know.
Evaluation of Markov Models for Architecture Conformance Checking

Conformance between architecture and implementation is a key aspect of architecture-centric development. However, the architecture “as documented” and the architecture “as implemented” tend to diverge from each other over time. Thus, conformance checks should be run periodically on the system in order to detect and correct differences. Despite having a structural conformance analysis, assessing whether the main scenarios describing the architectural behavior are faithfully implemented in the code is still challenging. Checking conformance to architectural scenarios is usually a time-consuming and error-prone activity. In this article, we describe ArchLearner, a tool to assist architects to bridge the gap between architecture and its implementation. The architecture is specified with Use-Case Maps (UCMs), a notation for modeling both high-level structure and behavior. ArchLearner uses Markov Models to detect code deviations with respect to predetermined UCMs, based on the analysis of system execution traces for those UCMs. The results from two case-studies have shown that ArchLearner is practical and reduces conformance checking efforts.
An Analysis of Research Trends on Creativity Education in Early Childhood from 2007-2019

본 연구는 2007-2019년까지 유아의 창의성 교육 연구들을 내용별, 방법별로 연구 동향을 파악하여 그 분석 결과를 분석하였다. 이를 위해 국내 학술지 5개에서 수집된 191편의 유아 창의성 교육 관련 연구를 분석 대상으로 하였다. 분석한 결과, 먼저, 연구 내용은 유아 대상의‘활동(프로그램) 개발 및 효과’ 연구가 가장 높은 비율로 나타났으며 그 다음으로 ‘창의성과 관련된 요인’ 순으로 높게 나타났다. 둘째, 연구 방법으로 연구 대상은 ’만 5세 유아‘가 가장 많이 연구되었으며 연구 유형은 ’양적 연구‘가 많이 진행되었으며, 연구 도구로는 Torrance(1974)의 ’TTCT 도형 검사‘와 전경원(2000)의 ’K-CCTYC‘ 검사’가 많이 나타났다. 이러한 결과를 바탕으로 본 연구는 추후 유아 창의성 교육 연구 방향 및 현장 교육의 지향점을 제시하고자 하였다.This study analyzed the research results by analyzing the research trends of early children s creativity education by year, educational contents, and research methods from 2007 to 2019. For this purpose, 191 early children s creativity education related research collected from 5 research journals were analyzed. As a result of the analysis, first, the research showed that activity (program) development and effect research was the highest rate, and followed by factors related to creativity for childs. Second, as for the research method, 5 years old child were studied the most, and the research type was quantitative research , and the research tool used the Torrance (1974) ’TTCT‘ shape test, the Jeon, Kyung won (2000) ’K-CCTYC’ test, and the research data collection the most. Based on these results, this study intends to suggest the direction of future creativity education research and the direction of field education.
Research on Man-Machine Conversation System Based on GRU seq2seq Model

Intelligent robot Q & A is a new focus in the field of natural language understanding and processing. In recent years, with the gradual maturity of deep learning technology, more and more research has begun to model deep neural networks for text semantics. Deep neural networks are computational models abstracted from human brain cognitive processes, closer to humans. In this paper, we use GRU deep neural network to study the generative dialogue, and implement a seq2seq model manmachine conversation system. Experiments show that the confidence of the system can reach the range of human acceptance.
Application of Sustainable Road Drainage System: Simulation by Using SWMM Program

High levels of rainfall are generally followed by increased volume of surface runoff and the potential for standing water.Stagnant water on the roads has a negative impact on road users and road damage.The concept of sustainable road drainage has the potential to be developed in dealing with the quantity of runoff water.This study aims to evaluate the existing road drainage system and implement a sustainable road drainage system.The location chosen as the object of research is Diponegoro University Campus area, Tembalang District, Semarang City.Use of the SWMM program which contains a set of flexible hydraulic modeling capabilities used to direct runoff and external inflows through a network of pipe drainage systems, channels, storage units and diversion structures.From the results of the hydrograph analysis, the largest discharge was found in the Outfall of the Center for Environmental Research with a discharge of 5.7 m 3 / sec and the lowest discharge at the outfall of the Faculty of Business Economics with a discharge of 0.07 m 3 / sec.Whereas the longest flood time that occurred was at the Outfall of the Faculty of Business Economics with a time of 4 hours 45 minutes and the shortest flooding time was at the Jurang Belimbing Outfall with 1 hour and 15 minutes.The sustainable road drainage system model applied is a road drainage channel with the addition of fine and coarse aggregate filters to the channel and integrated with infiltration wells.Thus, the drainage channel is able to reduce surface water flow to other areas and improve water quality.
The Change from Within Programme – Creating a Culture of Peace in Schools through Social Affirmation

In Earl Lovelace’s celebrated novel, “The Dragon Can’t Dance”, the issue of male violence is explored. The novel reveals how a society’s failure to acknowledge others, to exclude some – in this case the disadvantaged folk (the working class), can lead to their feeling invisible and insignificant. As a result, the human need to be recognized and to be seen can drive the
A IMAGEM FOTOGRÁFICA COMO FONTE DE INFORMAÇÃO A PARTIR DE UM ESTUDO NO JORNAL O IMPARCIAL.

Photography as a source of information, generating knowledge and as an input to thecommunication process. It evidences the importance of photographic records throughouthistory, as they are present today, in the various areas of everyday social knowledge. It aimsto present the importance of photographs as sources of historical information, based on astudy in the newspaper O Imparcial. It works with the concepts of photography, based ontheories of Information Science and Librarianship, where information can be conceivedthrough photographs. It shows how photos can serve as information and help in the recoveryof the memory of the past. The methodology used was documentary research based onpublished material, consisting mainly of books, periodicals and materials made available onthe internet and in the field with a visit to the photographic collection of the newspaper. Weselected 09 (nine) photographs of the collection of the newspaper O Imparcial de Sao Luis,Maranhao and opted as an analysis material the photographic images of the years 1960 to1980 that form published in the column Portrait of History. We conclude that photographyis an important source of information that brings the memory of different peoples and places.
Training Across Realities

Industries of all types are racing to adopt augmented and virtual reality technologies to enhance workplace outcomes. Conestoga College has recognized the disruptive potential of this technology and has embraced it through the creation of its Virtual and Augmented Reality Lab (VARLab). During the ‘Training Across Realities’ presentation, the VARLab team explored case studies in applied research and curricula, and learned how the capabilities being developed from student talent are being fed back into classroom learning. We offered several VR stations where attendees investigated
Inventari consonantici dell’italiano e del polacco a confronto

The goal of the present paper is to offer a comparative study of the consonantal phonological inventories of Italian and Polish. The first discrepancy between the two languages discussed in the paper is related to the fact that some Polish and Italian phonemes do not have any correspondents in the other language. The second issue addressed in this work is the fact that some Italian segments seem very similar to selected Polish sounds, and yet, as the paper shows, in some cases substantial differences need to be noted. The last issue presented in the paper concerns selected properties of Italian and Polish geminates.
CODE SWITCHING IN BILINGUAL CLASSROOM

Nowadays, universal language which is used in the world is English. The ability of speaking English is being a prerequisite to be someone’s success in the future. The aim of this study is to find the phenomenon of code switching in bilingual classroom which focused on types of grammatical code switching and reasons of using grammatical code switching. This research applied descriptive qualitative research which obtained the data from the discourse of lecturers and students in bilingual classroom at Universitas Negeri Medan. The researchers applied observation, interview and documentation. The data showed that lecturers and students used grammatical code switching in the classroom such as 2 tag code switching, 12 inter-sentential code switching, 22 intra-sentential code switching, 3 proper nouns, 1 negative words, 8 similarity of words in languages and 3 discourse marker. There are some reasons why the participants used code switching in their discourse. First, code switching made students more understand what the lecturers explained because not all bilingual students are able to speak English. Second, they used code switching because lack of vocabulary in English and so that they switched languages to make the material were easier to be understood.Keywords— Code Switching, Types of Grammatical Code Switching, Reasons of Code Switching, Bilingual Education