Reviewerly/exHarmony huggingface dataset:
A Study on the Systematization of Advocacy Logic Based on the Basic Income’s Normative Justification - Application of a Policy Argument Framework for Youth Dividend in Sungnam City-

본 연구의 목적은 Fischer의 정책논쟁 분석틀에 의거하여 기본소득 옹호논리의 일관성과 설득력을 높이는데 있다. 이를 위하여 본 연구는 Fischer의 정책논쟁 분석틀에서 제시한 논쟁수준에 따라 프로그램 검증, 사회적 확증, 상황적 타당성, 사회적 선택단계로 위계적인 배영을 하여 각 주장들을 조직화하였고, 이어서 이들의 논쟁수준을 평가하였다. 실제 분석자료는 청년배당지급조례에 대한 성남시문화복지위원회에서 정치인들이 실제 사용한 언어이다. 분석결과, 찬성론은 청년배당이 인간의 독자성, 자유, 존엄을 더욱 더 보장할 수 있는 미래사회의 대안이라는 사회비전을 분명히 드러내지 못했다. 따라서 완전한 기본소득을 위해서 찬성론은 기본소득이 미래사회에 적합한대안적 사회질서, 혹은 정책프로젝트라는 것을 강하게 주장해야 할 것이다. 아울러 반대론을 극복하기 위해서는 선별적복지의 재분배의 역설 즉, 가난한 사람에게 분배를 집중할수록 가난한 사람에게 재분배되는 몫이 줄어든다는 현상을 설명해야 하고, 기본소득의 목표를 단순한 노동시장에서의 행동변화가 아니라 교육기회, 건강활동 기회, 여가와 문화향유의 기회 등 다차원적 지표를 제시할 필요도 있다. 이를 위하여 임노동모델의 지속가능성이비현실적이라는 지적도 필수적이다. 본 연구는 정치적 언어 및 정책논쟁을 정책과학적 관점에서 분석한 옹호연구라는 의의를 지닌다.The aim of this study is to increase coherence and cogency in the logic of advocating the basic income according to Fischer s analysis framework of policy argumentation. To this end, the study evaluated the discourse levels hierarchically, ranging from social choice to societal vindication, situational validation, and program verification levels, in consideration of the suitability of the policy circumstances of youth dividend disputes in Korea. The actual analysis data are the language used by politicians of Seongnam City Culture and Welfare Committee on the youth dividend payments. As a result of the analysis, the proponents has failed to clearly show the social vision the youth dividend is an alternative to a future society that can further guarantee the young people s autonomy, freedom and dignity. Therefore, the argument for a full basic income should be strongly argued that the basic income is an alternative social order, or policy project, suitable for the future society. In order to overcome the opponents, the proponnts have to explain the paradox of redistribution, that the more we focus on the poor, the less we reassize them. It is also necessary to present multI-dimensional indicators of basic income, such as educational opportunities, health activity opportunities, and opportunities for leisure and cultural enjoyment, rather than simply behavioral changes in the labor market. It is also necessary to point out that the sustainability of the wage-labour model is unrealistic. This study is meant to be a study of advocacy, which analyzes the political language and policy debates from a policy-science view.
An Efficient Lattice-Based IBE Scheme Using Combined Public Key

Lattice-based Identity-based encryption (IBE) can both simplify certificate management and resist quantum attack in the real world. Combined Public Key (CPK) technology can be used to enhance the efficiency of IBE schemes. In this paper, we use CPK to construct a more efficient lattice-based IBE scheme based on a variant of learning with errors (LWE) problem, by avoiding complex trapdoor generation algorithm and preimage sampling algorithm required by the existing lattice-based IBE schemes from LWE. Its storage cost is also lower. We show that our IBE scheme is semantically secure against an adaptive chosen plaintext attack (CPA) from all probabilistic polynomial time adversaries in the random oracle model.
MODEL PEMBELAJARAN MRSA DAN PENGARUHNYA TERHADAP KINERJA PENALARAN MERs DAN KETERAMPILAN PEMODELAN SISTEM KOMPLEKS MAHASISWA

Structure adaptation is caused by the interaction of plants with the environment, so it requires system thinking in understanding it. This study was conducted to examine the instructional impact of the Multiple Representations Supported Argumentation (MRSA) learning model which involves students doing reasoning using multi representations to facilitate complex system modeling skills. The study was conducted with an iterative design that involves collecting data with MERs reasoning instruments and modeling complex systems. The research involved 1 model lecturer and 3 partner lecturers and 135 students who took part in the structure of plant development. The results of data analysis show the number of students who think complexly with MERs reasoning has increased by 48%, while the number of students who are able to model complex systems with good criteria has increased by 23%. Correlation test results between MERs reasoning performance with complex system modeling in general showed a positive relationship between 0.07 to 0.61. These evidences indicate that instructional learning has an effect on the progress of MERs reasoning performance as well as having an impact on the progress in achieving the ability of modeling complex systems, thus indicating instructional reasoning with MERs is effective for training systems thinking through modeling complex systems.
A Study on the Child Protection System Improvement in Education and Child Care facility

본 연구의 목적은 교육 및 돌봄시설에서의 아동학대의 현상을 분석하고아동학대 예방을 위한 제도개선과 대안을 제시하는데 있다. 이를 위해 선행연구의 검토에서는 아동학대의 원인과 문제의 심각성을 살펴보고, 우리나라아동보호체계가 어떻게 구성되어야 할 것인지에 대해 살펴보았다. 현행 우리나라 아동보호체계의 현황은 아동학대 신고 및 피해아동 보호현황, 피해아동과 학대행위자의 관계, 신고의무자과 아동학대 발생장소 그리고 교육및 돌봄시설에서의 아동학대 현황과 문제점들을 중심으로 분석하였다. 이를토대로, 본 연구에서는 교육 및 돌봄시설에서의 아동학대 예방과 아동보호체계 개선을 위한 논의와 제언을 제시할 수 있었다. 첫째, 교육 및 돌봄시설에서 아동학대가 발생할 때 피해아동을 위한 즉각적인 보호조치를 실행하고회복중심의 아동보호서비스를 제공할 수 있도록 아동보호체계를 개편해야할 것이다. 둘째, 아동학대의 실질적 예방효과를 이끌어내기 위해서는 아동보호체계의 공적 책임성을 강화해야 할 것이다. 결론에서는 포괄적인 아동보호를 위한 제도개선 방안을 제시하였다.The purpose of this study is to suggest the alternatives and improving the child protection system by analyzing the phenomenon fo child abuse in education and child care facilities. In literature review, this study examined what caused child abuse and what is the problem and how the Korean child protection system should be structured. The Korean child protection system was analyzed by the number of children being protected and child abuse report rate, the relationship between abused children and child abuser, a person obligated to report child abuse and place where child abuse occurred in addition to what is going on in education and care facilities regarding to child abuse. Based on this result, this study could present a several discussion for preventing child abuse among education and child care facilities through improving the child protection system. Firstly, when child abuse occurs in those facilities, the child protection system should provide immediate protection measures for the abused child with recovery-centered services. Secondly, the public accountability of the child protection system have to be strengthened and that it can lead to the actual effects of prevention. In conclusion. several measures were proposed to improve the social system for comprehensive child protection.
PENERAPAN METODE PENELITIAN DAN PENGEMBANGAN DALAM MERANCANG SISTEM REPOSITORI INSTITUSI DI PERPUSTAKAAN

Various research methods can be used in library development efforts, especially in designing and building institutional repository systems. In this paper, the literature review is focused on research and development methods to build and develop institutional repositories, and provide information about what kind of open source softwares can be used. Keywords: Institutional Repository, Research and Development, Open Source
Transformasi Makna Ruang dan Tempat pada Hagia Sofia, Istanbul, Turki

This article seeks to explain the history, changes in function, and values of the world cultural heritage of the Hagia Sofia museum which can be seen as  “ space and place ” . The reasons for taking the theme of Hagia Sofia  is  a symbol of harmony, peace and tolerance in Turkey and because it is a meeting point of world religions. The Hagia Sofia wall is a blend of Christian symbols and Islamic art. The function is changeable as churches, mosques and today are museums. The method used in this paper is the study of literature, in addition to field studies. The conclusion of this paper is that the existence of the Hagia Sofia is an effort of Turkey to bring up and remind again of the symbol of pride and the long history of the Turkish nation. Hagia Sofia is reproduced and re-articulated in accordance with the context of the era. The articulation of the Hagia Sofia’s symbol does not stop at the expression of its essence as a cultural symbol or historical symbol of the Turkish nation, but also as a process of remembrance and re-interpretation, which is not only aimed in Turkey, but more broadly in the Islamic world.
EDUCATOR AND EDUCATION PLANNING IN MAN 2 MODEL MEDAN

The Education Planner has been regulated in a law that explains that the Quality of National Education will be measured through the achievement of all National Education Standards, including Content Standards, Processes, Graduation Competencies, Education and Education Personnel, Facilities and Infrastructure, Management, Financing and Assessment (PP RI) No. 19 of 2005 has been perfected with Government Regulation No. 32 of 2013). Serious and serious attention by the parties to the efforts to fulfill and realize all these standards will determine the quality / quality of education.
Encrypted Data Sharing Using Proxy ReEncryption in Smart Grid

In a rapidly changing territory, energy networks must be increasingly responsive and flexible. New models of multi-fluid management and energy production are being created and developed on national and international level. This involves the use, monitoring and supervision of many sensors that reports lot of data. This paper deals with the secure management of large amounts of data within the context of smart grid. We propose a solution based on proxy re-encryption designed primarily to allow decryption delegation, which allow a neat management of large amount of data while respecting the GDPR (General Data Protection Regulation) and security standards.
ReLU to Enhance MDLSTM for Offline Arabic Handwriting Recognition

Multi-dimensional Long Short-Term Memory networks (MDLSTMs) are now a state-of-the-art technology that provide a very good performance on different machine learning tasks due to their ability to model any n dimensional pattern using n recurrent connections with n forget gates. For this reason, we are going to focus on the handwritten Arabic word recognition, in which we will need to use only two dimensional MDLSTM for 2D input images then try to improve the accuracy of this baseline recognition system. Such several deep neural networks, the vanishing gradient problem can affect the performance of this MDLSTM-based recognition system. To solve this problem, Rectified Linear Units (ReLUs) are added with different modes, to draw out the best MDLSTM topology for the offline Arabic handwriting recognition system. Proposed systems are evaluated on a large database IFN/ENIT. According to the experimental results and compared to the baseline system, the best tested architecture gives a 5.57% reduction in the label error rate.
MATERIAL OF LOCAL CULTURE IN LEARNING INDONESIAN FOR FOREIGN STUDENT (BIPA)

Because the purpose of learning a foreign language is the learning of Indonesian language for foreign speakers (BIPA) is diverse, then the learning materials and methods used by teachers to achieve certain goals also vary. This study aims to describe the form of local cultural material in Indonesian Language Learning for Foreign Speakers. This study used descriptive qualitative method. The results of this study are: 1. local cultural material that can be used in learning Indonesian for foreign speakers based on the level or level of learning such as pantun, minangkabau folklore, and minangkabau phrase. To be able to express feelings simply, describe the environment, and communicate daily needs and routine, 2. And methods that can be used in enriching learning materials BIPA, and 3. Media used in the presentation of local cultural materials such as video, film, pictures and surroundings. So the success of BIPA teachers is teaching material, teaching materials that must have certain characteristics, in the sense that Indonesian language teaching materials given to foreign learners must have and incorporate elements and values of Indonesian culture in them, and the methods and media used must be interesting.
A novel stylistic classification method and its experimental study

By simulating humanlike stylistic classification behaviors, a novel design methodology called S2CM for stylistic data classification is developed in this study. The core of S2CM is to build a social network consisting of subnetworks corresponding to each data class in the training dataset, and then compute both the influence of each node and the authority of each subnetwork such that style information existing in the training dataset can be well expressed according to the philosophy of social networks. With the built social network, the prediction of S2CM for an unseen sample can be cheaply implemented. Experimental results on artificial and benchmarking datasets show that S2CM outperforms the comparison methods on stylistic data.
Usage and awareness of OPAC by faculty of university library, University of Agricultural Sciences, Dharwad

OPAC is an interactive search module of an automated library management system. Any type of reading materials is searched directly from the managed database of the library. Catalogue is the face of the libraries and the Online Public Access Catalogue (OPAC) changed the conventional card catalogue structure. This paper presents and analysis online public access catalogue services provided by University library, university of agricultural sciences, Dharwad. It also discusses the purpose, frequency, awareness on use of OPAC. The result of the study shows that the faculties of UASD are aware about use of OPAC and regularly using to trace the library holdings by Title, Author, Subject, etc.
Retrieving Relevant Knowledge from Forums

There are many instances of online content management systems where users collectively produce knowledge. Some of them are used for educational purposes such as forums in Massive Open Online Courses MOOCs. However, the lack of structuring of the useful content reduces the possibility of further reusing them. We believe that reorganizing the knowledge available in a forum can make it more easily reusable as a pedagogical resource. In this article, we present the first part of our analysis, namely developing a method for sorting the information and thus for assessing the quality of the information. We examine the effectiveness of our method on the Stackoverflow forum thread examples. The results are relevant and show that it is possible to assign weights to the information contained in the discussion forums in order to sort them out.
A Survey on Different Study of MRI brain Image based on Segmentation

Brain image segmentation is one of the important parts of medical diagnostic tools. In brain images noise, inhomogeneity and occasionally deviance are usually present. The exact segmentation of MRI pictures is therefore extremely difficult. However, for the correct diagnosis using clinical tools, the precise segmentation process of these images is extremely important and vital. We present in this paper a study of the methods used in the segmentation of brain MRI images. The analysis involves a classification of multiple segmentation algorithms, which range as deformable methods, classification methods and graph based approaches from basic threats through to high level Segmentation approaches. The analysis concluded with the easiest and quickest implementation of thresholding methods. The growing method in the region is also fast and works quite well in finding high contrast limits. Methods for clustering are suitable for spatially restricted implementation.
A Study of Action Learning Model for Industry-academia Cooperation to Strengthen Export Competitiveness of SMEs

중소기업의 수출경쟁력 강화를 위해 모든 대학에서 실용적인 역량강화 중심의 무역교육을 실시할 방법을 계속 찾아야 한다. 무역교육자들은 기업 교육현장에서 시작되었던 액션러닝에 주목할 필요가 있다. 본 연구의 목적은 중소기업의 글로벌 역량향상과 수출경쟁력 강화를 위해 대학의 무역교육에 적용할 수 있는 산학협력 방식의 액션러닝 모델을 개발하는 것이다. 액션러닝 모델을 설계한 후에 전문가 의견과 학습자 효과성 검증을 통해 타당성을 증명하였다. 액션러닝을 실행하는 수업설계를 ADDIE(분석-설계-개발-실행-평가) 5단계로 실시하였다. 학습자들이 액션러닝에서 달성할 과제의 목표는 수출기업을 대상으로 무역마케팅의 핵심도구인 무역거래알선사이트 및 전자무역을 활용한 수출마케팅과 관련된 문제점을 분석하고 분석된 내용을 바탕으로 문제해결 방안을 제시하는 것이다. 산학협력 액션러닝의 효과성 검증은 학생들의 성찰저널을 분석하였다. 산학협력에 의한 실제적 무역실습을 통해 액션러닝 후 즉시 무역현장에 투입이 가능하도록 교육할 필요가 있다.To strengthen the export competitiveness of SMEs, it is necessary to continue to find ways to conduct trade training centered on practical capacity building at all universities. Trade educators need to pay attention to action learning that started at the corporate education scene. The purpose of this study is to develop an action-learning model of industrial-educational cooperation methods that can be applied to trade education of universities to enhance the global capability of SMEs and strengthen export competitiveness. After designing the action learning model, it proved its validity through expert opinion and validity of the learner. Class design to execute action learning was conducted in 5 steps of ADDIE (analysis-design-development-implementation-evaluation). The goal of the learners task in action learning is to analyze the problems related to export marketing using e-trade, a trade transaction website and electronic trade, which are key tools of trade marketing for export companies, and solve problems based on the analyzed contents. It is to present. To verify the effectiveness of industry-academic cooperation action learning, students reflection journals were analyzed. It is necessary to educate students to be able to put them into the trade field immediately after action learning through practical trade practice through industry-academia cooperation.
Modeling Complex Spatial Patterns with Temporal Features via Heterogenous Graph Embedding Networks.

Multivariate time series (MTS) forecasting is an important problem in many fields. Accurate forecasting results can effectively help decision-making. Variables in MTS have rich relations among each other and the value of each variable in MTS depends both on its historical values and on other variables. These rich relations can be static and predictable or dynamic and latent. Existing methods do not incorporate these rich relational information into modeling or only model certain relation among MTS variables. To jointly model rich relations among variables and temporal dependencies within the time series, a novel end-to-end deep learning model, termed Multivariate Time Series Forecasting via Heterogenous Graph Neural Networks (MTHetGNN) is proposed in this paper. To characterize rich relations among variables, a relation embedding module is introduced in our model, where each variable is regarded as a graph node and each type of edge represents a specific relationship among variables or one specific dynamic update strategy to model the latent dependency among variables. In addition, convolutional neural network (CNN) filters with different perception scales are used for time series feature extraction, which is used to generate the feature of each node. Finally, heterogenous graph neural networks are adopted to handle the complex structural information generated by temporal embedding module and relation embedding module. Three benchmark datasets from the real world are used to evaluate the proposed MTHetGNN and the comprehensive experiments show that MTHetGNN achieves state-of-the-art results in MTS forecasting task.
A Consensus Clustering Algorithm for Multitask Multiview Learning

Multitask multiview clustering involves multitask algorithms and multiview algorithms in clustering. As there exists certain relationship among multiple tasks and abundant features in various views, multitask multiview clustering utilizing latent structures to promote the performance for single task, has received much attention recently. We propose a consensus clustering method in this paper for multitask multiview situation $(C^{2} {MTMV})$. It firstly integrates the features from various views to produce a consistent representation for each task. Then it further explores the knowledge existing in within-task and between-tasks and transfers them into other related tasks to assist in clustering. Experimental results comparing with 6 existing algorithms on 5 datasets show the superiority of our method.
Impact of Knowledge Capability and Mindset on Fraud Risk Assessment within Nigerian Deposit Money Banks

Introduction of digital technology into the banking sector created opportunities for banks to prevent and detect various forms of frauds. To ensure this, deposit money banks (DMBs) employed various forms of electronic products and services to facilitate ethical banking. This study presents an assessment of knowledge capability (KC) and mindset of bank examiners in fraud risk assessment (FRA) within DMBs. The study examines regulators’ capacity for fraud prevention and detection within the Nigerian DMBs. This study deployed both primary and secondary sources for data collection. A total of 150 questionnaires were distributed out of which 120 were returned by targeted respondents (bank examiners) all employees of the Central bank of Nigeria (CBN), Nigerian Deposit Insurance Corporation (NDIC) and 10 DMBs. Out of the 120 questionnaires returned, 85 were retained for analysis after removal of outliers. Subsequently, the study employed IBM SPSS version 25 and PLS-SEM (Smart-PLS) software version 3 for data analysis. The results revealed significant positive relationship between bank examiners’ knowledge capability, mindset and (task performance) fraud risk assessment and by implication general reduction in the incidence of fraud and forgeries within DMBs. Consequently, the study contributes to enhancement of institutional and legal frameworks for banking examination, compliance and reporting. The empirical study would result in overall reduction in the escalating occurrence of fraud and forgeries within Nigerian DMBs. Researchers may explore interviews as primary source of data collection in addition to questionnaire administration and mix-methods, that is, qualitative and quantitative research methodology.
Managing endpoints, the weakest link in the security chain

Endpoint security is a term open to interpretation. Traditionally, an endpoint would be any device or node connected to the LAN or WAN, such as a workstation or end-user PC, or a modem, a hub or a switch. But now endpoints incorporate a multitude of additional digital devices from laptops, tablets and mobile phones, which sit on the edge of the network, through to network printers, consumer and industrial IoT devices and point-of-sale systems. Endpoints include a multitude of additional digital devices from laptops, tablets and mobile phones through to network printers, IoT devices and point-of-sale systems. Securing this ever-expanding portfolio of endpoint technology has become an urgent necessity, not least because these devices represent a significant risk to the cloud ecosystem. By securing the input of sensitive data and by wrapping security around the applications that handle sensitive data, organisations can add another layer, boosting the protection of endpoint devices, explains Dave Waterson of SentryBay.