Reviewerly/exHarmony huggingface dataset:
A Study on the Regulations against the Restitution of Persons under the Refugee Act

The nation has repeatedly revised the current Refugee Act, enacted on February 10, 2012, implemented on July 1, 2013, and has sought to find social and national issues for refugees that have been discussed or discussed so far, as well as improvement in social realities and norms on some refugee laws. First of all, the Enforcement Decree of the Act was enacted on June 12, 2013 (July 1, 2013) and the Enforcement Rules of the same Act (the Act was enacted on June 28, 2013 (July 1, 2013). In general, the Immigration Act consists of the Basic Act on Korean and Foreign Affairs, the Employment of Foreign Workers Act, the Multicultural Family Support Act, the Marriage Arbitration Act, the Refugee Act, the Immigration Control Act and the Nationality Act. Among these immigration laws, it is the Refugee Act that has recently been legislated and enforced.BR The nation has so far seen a rise in the influx of immigrants of various types, including foreign workers, students studying abroad and marriage visas. Similarly, there were not so many applicants for refugees before 1994, and until 2010, there were not many applicants for refugee status, nor were there many administrative or administrative resources required for such work. The pattern has changed since 2010, when their numbers have been on the rise considerably, especially since 2015. Furthermore, the number of applicants has increased to such a degree that the number of professional administrators who examine refugee applications is far short. However, the public is concerned about the possibility that even serious risk factors in the nation
Analysis of Video Feature Learning in Two-Stream CNNs on the Example of Zebrafish Swim Bout Classification

Semmelhack et al. (2014) have achieved high classification accuracy in distinguishing swim bouts of zebrafish using a Support Vector Machine (SVM). Convolutional Neural Networks (CNNs) have reached superior performance in various image recognition tasks over SVMs, but these powerful networks remain a black box. Reaching better transparency helps to build trust in their classifications and makes learned features interpretable to experts. Using a recently developed technique called Deep Taylor Decomposition, we generated heatmaps to highlight input regions of high relevance for predictions. We find that our CNN makes predictions by analyzing the steadiness of the tail's trunk, which markedly differs from the manually extracted features used by Semmelhack et al. (2014). We further uncovered that the network paid attention to experimental artifacts. Removing these artifacts ensured the validity of predictions. After correction, our best CNN beats the SVM by 6.12%, achieving a classification accuracy of 96.32%. Our work thus demonstrates the utility of AI explainability for CNNs.
Measuring Security of Symmetric Encryption Schemes Against On-the-Fly Side-Channel Key-Recovery Attacks

In this paper, we propose a framework to analyze the security of symmetric encryption schemes against an adversary which attempts to recover the secret key by mounting side-channel attacks. In our adversarial side-channel model, the adversary is allowed to eavesdrop the public communication channel to obtain the ciphertexts and to collect on-the-fly some information about the secret keys of the scheme via measurement of certain physical phenomenon induced by the physical device, when the device is running the encryption process. Based on our framework, we derive the maximum success probability of the adversary to recover the secret keys. Our analysis does not assume any computation or storage limitation on the adversary and uses the bandwidths of the public communication channel and side-channel as the parameters. Hence, our results apply even in the case of quantum adversaries. Though in our framework the adversary does not have full control of the physical device, our framework is entirely independent of the type of physical phenomenon observed by the adversary and also of the method used by the adversary, which is interesting in its own right.
Método para gestionar la elicitación de requisitos en un proyecto de desarrollo de software ágil

The Requirements elicitation (RE) within software projects involves understanding the needs of clients and their organization in order to have a greater understanding of their main problems and solution alternatives. Taking this fact into account, it is required to collaborate, coordinate and communicate the different stakeholders between each other, but maintaining different perspectives and points of view which poses great communication challenges. This paper proposes a method to promote better communication between stakeholders, specifically the analyst and the client, during the process of elicitation. This method is built from the perspective of organizational knowledge management models and current communication techniques within software projects. Additionally, it is validated through a semi-structured interview applied to three senior people who have worked on software development projects.
Круглый стол по обсуждению проекта Федерального закона «О научной и научно-технической деятельности»

Full transcription of the round table discussion dedicated to the project of the Federal Law on science and scientific activity
Формирование компетентности в области программирования у будущих инженеров- программистов

Introduction. The purpose of the article is to highlight the results of scientific research aimed at developing and implementation at higher education institutions a system of future software engineers tr aining in professional activities.Materials and Methods. The study involved 139 students from several Ukrainian universities. We studied the influence of the proposed forms, methods and training tools on the success of the formation of future software engineers’ programming competence. The study was organized using the parallel experiment method (data collection was carried out in the control and experimental groups). To collect data on the level of students’ competence in programming, their learning outcomes in a number of professionallyoriented disciplines were analysed. To analyse the data, methods of grouping, construction of pivot tables, and graphical presentation of data were used. The reliability of the data was verified using Fisher’s test and Pearson’s chi-square test.Results. The authors were first who developed a system of training o future software engineers in professional activities and experimentally tested the effectiveness of students’ programming competence moulding in the framework of this system. Here, presented are results of the study of formation of future software engineers’ professional competency, in particular competency in the field of programming, during their college education. A brief description of the professional competence structure and the system of future software engineers training for professional activities is given. Description of the pedagogical experiment stages and its contents is given, along with quantitative data in the form of tables and bar charts and its analysis. Discussion and Conclusion. The study results are of practical value for the scientific and pedagogical staff of universities for the development of educational programs for professional training of future software engineers, in particular, in the field of programming.
Determinants of development of professional and pedagogical competence of the future specialist of physical education and sports in conditions of university education

We consider the determinants (factors, means) of the professional and pedagogical competence development of future specialists in physical education and sports in the university educational space. We give their classification depending on the specifics of the impact on the professional and pedagogical competence development of students athletes. We present: 1) determinants that have a direct impact on students in the university educational process; 2) factors affecting future specialists in physical education and sports, indirectly – through interaction with other subjects at the university in the process of educational and upbringing activities “in the zone of proximal development” (according to L.S. Vygotsky); 3) determinants that affect future professionals through relationships in interest groups; 4) determinants of incentives (competition in educational or sports activities); 5) subjective determinants – citizenship, spiritual and moral values, motivation for sports and choosing a profession, responsibility, self-evaluation, level of aspiration, personality orientation, etc. The force of influence of different determinants is taken into account, considering the individual psychological and psychological-typological characteristics of students: strongly influencing, with medium influence, having low influence. We reveal the content, speci-ficity and nature of the influence on the personality of future specialists. We present the psycho-logical mechanism of their influence and the ways and methods of monitoring the development of their professional and pedagogical orientation.
A Study on the Improvement of Extracurriculum(Program) of 4 Year D University in Korea

대학교육의 변화속도는 현대의 기술 발전 속도와 다양성을 따라가지 못하고 있다. 또한 현대사회의 기업에서 요구하는 인재와 실제 대학에서 양성하는 인재 사이에서 불일치가 일부 나타냐고 있다. 이러한 교육의 불일치를 해결하기 위해 한국의 일부 대학은 8~9년간 진행된 학부교육선진화사업을 통하여 역량기반 교육과정을 구축하기 시작하였다. 그러나 학부교육선도대학을 중심으로 비교과교육과정의 활성화를 위해 많은 재정적인 노력에도 불구하고 비교과교육의 구체적인 효과성 및 질 관리 타당성, 교육과정의 내실화는 미흡한 실정이다. 많은 대학이 역량기반 비교과교육과정 체계구축에 집중되어 있고 교육과정 내실화를 위한 세부적인 전략 및 평가ㆍ환류체계의 운영은 미흡한 실정이다. 이러한 문제점으로 인하여 비교과교육과정이 구축되어 운영되고 있음에도 불구하고, 교육효과 및 성과에 대한 타당성 문제가 지속해서 제기되고 있다.따라서 본 연구에서는 참여자의 실태 및 만족도조사, 교육과정(프로그램) 별에 맵핑된 역량 타당성, 교육과정(프로그램)별 사전ㆍ사후 효과분석을 바탕으로 한 구체적인 효과성을 파악하고자 하였다. 이러한 연구는 역량 기반 비교과교육과정의 내실화 및 타당성 높은 평가ㆍ환류를 제공함과 동시에 지속적인 질 관리 차원에서의 시사점을 제공할 수 있을 것이다.Changes in university education have not kept pace with the speed and diversity of the development of modern technology. In addition, there is a discrepancy between the talent required in modern society(enterprise) and the talent cultivated in universities. To resolve these inconsistencies, some South Korean universities have begun to build competency-based curriculums through8 9years of advancement by means of education projects. However, despite the many financial efforts to promote extracurricular programs centered on the advancement of universities, there are insufficient measures to improve the specific effectiveness, quality management validity, and feasibility of extracurricular programs. Many universities focus on competency-based frameworks to construct extracurricular programs, and, subsequently, specific strategies and evaluation and feedback systems for the improvement of extracurricular programs are insufficient. While extracurricular programs have been established and managed, the issue of the validity of the effect and performance of the education is continuously raised. Therefore, in this study, we attempted to demonstrate the specific effectiveness based on the satisfaction and conditions of the participants by mapping the competency validity to the extracurricular programs and conducting pre- and post-effect analyses according to the extracurricular programs. This study can enhance competency-based extracurricular programs using validated evaluation and feedback and make suggestions for sustained quality management.
Fuzzy inference system for evaluating supplier in shrimp agroindustry

Abstract Shrimp agroindustry deals with processing raw shrimp into various frozen shrimp products. The production of frozen shrimp products are continuously produced based on consumer demand with uncertain pattern. To sustain this production, it is fundamental to enable supply of raw material to satisfy customer demand. Therefore, working integrated with suppliers to satisfy customer demand is a fundamental goal for shrimp agroindustry. A selection of suppliers in agroindustry is determined based on to three criteria, that are quality of raw materials, number of raw material arrival, and payment scheme. These criteria are used as a measurement to evaluate supplier performances by decision makers. To minimize uncertainty and subjectivity of decision makers when choosing suppliers, a fuzzy inference system method is proposed. The outcomes of the fuzzy inference system method are a set of rule base that is used to assess suppliers in shrimp agroindustry.
Common Errors Made in Learning English Prepositions While Writing Essays by Iraqi Students

This study examines the most important commonly errors made in learning English prepositions while writing essays by Iraqi students of English as a foreign language.It suggests some solutions to help them recover and overcome their errors.All the students come from non-English speaking background and hardly communicate in English outside school.The study was carried out at preparatory schools in Diwaniya governorate in Iraq.Seventy essays were collected from two secondary schools and analyzed in relation to the theories of Contrastive Analysis and Error Analysis.A detailed classification of the most common errors, their analysis, and the comparison of the total number of inter-lingual and intra-lingual errors are given place in this study.The study aims to find out answers to the following research questions: 1.What are the types of prepositional errors committed while writing English Essays by Iraqi final year EFL senior secondary school students?2.What are the causes/sources of prepositional errors committed while writing English Essays by Iraqi final year EFL senior secondary school students?3.What is the effect of Arabic language interference on learning English language prepositions as used by Iraqi final year EFL senior secondary school students in Iraq? 4.What should be the appropriate method in teaching English prepositions to Iraqi EFL senior secondary school students?This study intends to use a qualitative content analysis of the students' written essays in accordance with the Error Analysis approach.For this, the researcher intends to explore and analyze the written productions of the final year students' essays.Thus, the results of the study identify the kinds of prepositional errors Iraqi students commit in writing as well as their sources and causes in Dewaniyah governorate in Iraq.This study has shed light on the manner in which students internalize the rules of the target language.Such an insight into language learning problems is useful to teachers as it provides information on common troubles confronted in language learning which can be used in the preparation of effective teaching materials.
Information Retrieval for Evidence-Based Policy Making Applied to Lifelong Learning

Policy making involves an extensive research phase during which existing policies which are similar to the one under development need to be retrieved and analysed. This phase is time-consuming for the following reasons: (i) there is no unified format for policy documents; (ii) there is no unified repository of policies; and (iii) there is no retrieval system designed for querying any repositories which may exist. This creates an information overload problem for policy makers who need to be aware of other policy documents in order to inform their own. The goal of this work is to introduce a novel application area for studying information retrieval models: the information seeking phase of policy design, applied to life-long learning policy-making. In this paper, we address this problem by developing a common representation for policy documents, informed by domain experts, in order to facilitate their indexing and retrieval by users. This position paper highlights the research questions that we aim to answer in our future work and the dataset that we intend to use to do so. Our main contribution is the creation of a unified dataset of policy interventions which can be used for highly specialised information retrieval tasks, and will be released in order to provide the field with the first unified repository of policy interventions in adult education.
Automatic Face and Hijab Segmentation using Convolutional Network

Taking pictures and Selfies are now very common and frequent between people.People are also interested in enhancing pictures using different image processing techniques and sharing them on social media.Accurate image segmentation plays an important role in portrait editing, face beautification, human identification, hairstyle identification, airport Surveillance system and many other computer vision problems.One specific functionality of interest is automatic face and veil segmentation as this allows processing each separately.Manual segmentation can be difficult and annoying especially on smartphones small screen.In this paper, the proposed model uses fully convolutional network (FCN) to make semantic segmentation into skin, veil and background.The proposed model achieved an outperforming result on the dataset which consists of 250 images with global accuracy 92% and mean accuracy 92.69.
Using Predicate Pushdown to Enhance Query Performance

In Chapters 2 and 3 , we looked at using PolyBase to retrieve data from Azure Blob Storage and Hadoop, respectively. In both of those cases, we allowed the PolyBase data movement service to pull all of the data from our external data source and then applied filters and performed aggregations within SQL Server. This is our only option for Azure Blob Storage, but when working with Hadoop, there is another technique: predicate pushdown. This chapter will dive into the concept of predicate pushdown and look at the mechanisms available in PolyBase to offload compute requirements onto Hadoop. We will first cover what predicate pushdown means and why it is important. Next, we will use a packet capture tool to understand exactly what is happening on the network during queries against external tables, both with and without predicate pushdown. This will help us gain an understanding of what PolyBase predicate pushdown has to offer as well as its limitations. Finally, we will look at situations when predicate pushdown makes sense to use.
Retraction:Reliability assurance in early-life-failure test through improved nearest neighbor regression

This article was retracted. Please see retracted notification.
Adding Speech and Sentiment to Your Digital Assistant

In the previous chapters of this book, you learned how to build some very smart Digital Assistants based on Oracle technology. They work just fine over many different channels and cover most of the use cases that you can think of. In this chapter, you will learn how to add some extra dimensions to your Digital Assistant. First, you will learn how to enrich a Digital Assistant with sentiment analysis, and next you will learn how to add speech to your Digital Assistant. While reading this chapter, it will become clear to you that both additions are based on a sophisticated usage of the knowledge that you already acquired in the previous chapters of this book.
A Platform to Collect, Unify, and Distribute Inertial Labeled Signals for Human Activity Recognition

Human activity recognition (HAR) is a very active research field. Recently, deep learning techniques are being exploited to recognize human activities from inertial signals. However, to compute accurate and reliable deep learning models, a huge amount of data is required. The goal of our work is the definition of a platform to support long-term data collection to be used in training of HAR algorithms. The platform aims to integrate datasets of inertial signals in order to make available to the scientific community a large dataset of homogeneous data. The architecture of the platform has been defined and some of the main components have been developed in order to verify the soundness of the approach.
GAMIFICATION MODELS AND TOOLS ACCORDING TO PROFILES: AN EXPERIENCE IN ENGINEERING DEGREES

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 7740-7747ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.1838Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
Pengembangan Sistem Informasi Registrasi Pelayanan Administrasi Terpadu Kecamatan (Paten) Di Kecamatan Tarogong Kidul Kabupaten Garut

This research aims to make learning model accounting with accounting application program so that learning becomes easier accounting, challenging and fun for students and teachers of accounting so difficult to study accounting assumption can be helped with accounting application program that the author designed. The problem often faced by students in learning accounting including; transaction that is pretty much it often wrong in the calculation of the transaction, despite being put on mechanical calculators (calculator), recording repeated in subsequent keform posting one transaction that requires a long processing time, the difficulty in preparing the financial statements (Income Statement, Balance Sheet, Capital statement, and Retained Earnings) because students have to memorize any accounts that must exist on the financial statement, it causes less mandirinya in learning more centralized accounting finally learning to teachers. With a program he designed accounting application with Delphi programming language, learning problems occurred in accounting can be helped, because the author designed programs available facilities such as teaching materials, a data input form (General Journal) where the program automatically adds the transaction is entered, with only one input data, then the data is directly accessible to the next form as the form of the accounting equation, the form of financial statements (Balance sheet, Income Statement, statement of Capital and Retained Earnings), as well as for the ledger and work sheets (annual report). So that the processing time to be effective and efficient as well as students become productive. Accounting application program design will be tested on students making an accounting class 1 semester of the 2014/2015 academic year at the Department of informatics management with accounting reasons as writers first in the majors in order to make it easier to analyze the reliability and ease of application programs accounting in analyzing the program on learning process accounting. From the results of this study are expected to be useful for accounting faculty, students, high school, vocational school, so tertananm independent learning, challenge and fun, the general public who want to study accounting easily and for science as a reference model of the development of the application of ICT in learning. Keywords: Analysis, Information Systems, Accounting Education, ICT, Program Application.