Reviewerly/exHarmony huggingface dataset:
What is the Core Elements of Social Innovation?

경제ㆍ산업분야 및 사회구조의 빠른 변화에 따른 다양한 사회문제의 새로운 문제해결 방식으로 사회혁신이 대두되기 시작하였다. 최근 다양한 영역에서 사회혁신의 필요성과 중요성이 언급돼 있지만 명확한 개념에 대한 경험적 탐색 연구는 부재한 상황이다. 이에 본 연구는 현장전문가이면서 학위과정에 있는 참여자들의 포커스 그룹인터뷰를 통해 사회혁신 구성요소로 10개의 상위범주와 33개의 세부요소를 도출하였다. 본 연구가 주는 시사점으로 명확한 사회미션의 기본토양에서 문제진단력과 다양성·포용성이 중요함을 인식하고, 사회혁신의 실천과 연구의 방향성을 제고해야 함을 제시하였다. 사회혁신이 시대적 유행으로 그치지 않기 위해 견고한 지식체계 및 지속적인 자기혁신이 요구되므로 체계적인 전문교육기관을 통한 사회혁신가 양성프로그램이 개발되어야 한다는 점을 제안하였다. 동시에, 사회혁신이 사회 곳곳에 확산되기 위한 제도적/환경적 지지기반이 마련되어야 할 것이다.While the adoption of Social Innovation in the various sections has fueled a rapidly expanding the interest related to practical and scholar issues, social innovation have not yet been completely defined. This paper traces the core elements of social innovation across disciplines by conducting focus group interview, which consists of 14 participants who onsite specialists with the academic degrees. Final core elements of social innovation was constituted 10 categories and 33 sub-indicators. The results suggest that the direction of practice and scholarship should be improved taking into account the importance of obvious social missions, diagnostic powers of social issues, diversity and inclusion. Also, Social Innovator’s training courses need to be developed grounding on scientific higher education for the solid knowledge system and continuous self-innovation. Finally, the institutional and environmental supports are required to expanding social innovation across communities everywhere.
UNIVERSITY MUSICAL TRAINING OF STUDENTS OF EARLY CHILDHOOD EDUCATION DEGREE

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 9049-9056ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.2249Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
‘At the Very Beginning, There’s This Dream.’ The Role of Utopia in the Workings of Local and Cryptocurrencies

Since the 2008 financial crisis, the number of alternative currencies aiming at transforming global financial institutions, such as local and complementary currencies (LCC) and cryptocurrencies, has exploded. Yet the motivations and workings of such monies are relatively unknown. This chapter aims to fill this gap by providing a framework that uncovers the ideals pursued by alternative currencies, and the effects of those ideals on the production of money. To do so, I present a comparative analysis of the valuation infrastructure – the processes through which value(s) is produced – of one LCC, Sol Violette, and three cryptocurrencies, Bitcoin, Ğ1 “June” and impak Coin. Throughout, I elaborate on the social meaning of money and the role played by alternative currencies in contemporary capitalism. I show that 1) despite targeting the same financial institutions, the utopia pursued by alternative currencies varies significantly and 2) this utopia is at least as important as the technology (e.g. blockchain) in shaping the workings of these monies. Based on these findings, I outline some implications for the social studies of financial technologies, their effects on our societies and their regulation.
DIGITAL TOOL WORKSHOPS: MODIFYING THE ELABORATION OF LEARNING MATERIALS METHODOLOGY THROUGH LIFELONG LEARNING EXPERIENCES WITH HIGH EDUCATION TEACHERS AT TEC DIGITAL

DIGITAL TOOL WORKSHOPS: MODIFYING THE ELABORATION OF LEARNING MATERIALS METHODOLOGY THROUGH LIFELONG LEARNING EXPERIENCES WITH HIGH EDUCATION TEACHERS AT TEC DIGITAL
INTERNATIONAL STUDENT ADAPTATION IN RUSSIAN UNIVERSITIES (LOMONOSOV MOSCOW STATE UNIVERSITY AND RUDN UNIVERSITY)

INTERNATIONAL STUDENT ADAPTATION IN RUSSIAN UNIVERSITIES (LOMONOSOV MOSCOW STATE UNIVERSITY AND RUDN UNIVERSITY)
Factors and Conditions of Student Environmental Culture Forming in the System of Ecological Education

The relevance of the study has arisen because the environmental crisis that arose in the second half of the twentieth century is acquiring more and more global nature and the risk of irreversibility of its consequences increases. Overcoming this crisis, preventing or overcoming its negative consequences is possible only through the efforts of the entire human civilization, the development of which should receive a humanistic and environmentally friendly orientation. The formation of a new worldview and ecological culture of both each individual and the human community as a whole, which can be carried out most effectively in the process of environmental education, becomes relevant. The study purpose: this article aims at analyzing various approaches to the formation of ecological culture, factors and conditions of its formation effectiveness. The study results: It establishes that ecological culture is a humanistic culture of human interaction with the biosphere and the socio-sphere, aimed at preserving and restoring the environment and creating the noosphere. The features of modern environmental education are in its development based on the noosphere concept and the concept of sustainable development. The main factors of increasing the effectiveness of ecological culture formation at the cognitive, reflexive-value and activity-based levels of environmental education are identified. The main conditions for the effectiveness of environmental culture formation are the increasing of environmental education importance and the dynamic interaction of its subjects. Practical significance: The materials of the article are of theoretical and practical value for the development of educational and methodical complexes on ecology and ecological pedagogy, teacher training and retraining programs, as well as programs aimed at the formation of new environmentally friendly ideological and value attitudes and behavioral skills of students.
Motivasi Diri Dan Persepsi Mengenai Profesi Guru Akuntansi Terhadap Minat Menjadi Guru Akuntansi Pada Mahasiswa Jurusan Pendidikan Akuntansi Fakultas Keguruan Dan Ilmu Pendidikan Universitas Muhammadiyah Surakarta Angkatan 2016

AbstractNia Febriyani / A210140024.Self-Motivation And Perception Of The Accounting Teacher Profession To Interest In Accounting Teachers In Students Accounting Education Department Faculty Of Education And Science Education University Of Muhammadiyah Surakarta 2016 Class.Essay. Teaching And Education Faculty, Muhammadiyah University Of Surakarta. December, 2018.The Purpose Of This Study Was To Find Out: 1) The Effect Of Self Motivation On The Interest In Becoming An Accounting Teacher; 2) The Influence Of Perceptions Of The Accounting Teacher Profession On The Interest In Becoming An Accounting Teacher; 3) The Influence Of Self Motivation And Perceptions Of The Accounting Teacher Profession On The Interest In Becoming An Accounting Teacher. This Type Of Research Is Descriptive Quantitative Research. The Population In This Study Were 333 Accounting Students In 2016. Samples Were Taken As Many As 167 Students With Simple Random Sampling Technique By Drawing. Data Collection Techniques Using Documentation And Questionnaires. The Instrument Trial Was Conducted On 20 Students. The Data Analysis Used Is Multiple Linear Regression Analysis, F Test, T Test, R2 Test, Relative Contribution And Effective Contribution. The Results Of Multiple Linear Regression Analysis Obtained The Regression Line Equation Y = 31,898 + 0.631x1 + 1,183x2. Based On The Results Of Multiple Linear Regression Analysis It Can Be Concluded That: (1) Motivation Has An Effect On The Interest Of Students To Become Accounting Teachers Proven To Be True. This Is Based On Multiple Linear Regression (T Test), It Is Known That The Results Of T Count = 7.488>Ttable = 1.974. (2) The Perception Of The Teaching Profession Influences The Interest In Becoming An Accounting Teacher Proven To Be True. This Is Based On Multiple Linear Regression (T Test), It Is Known That The Results Of T Count= 16,532>T Table=1,974.(3) Self-Motivation And Perceptions Of The Influential Teaching Profession Simultaneously On Students' Interest In Becoming Teachers Proved To Be True. This Is Based On Multiple Linear Regression(F Test), It Is Known That Fcount> Ftable, Which Is 147,700>3.05.(4) Self-Motivational Variables Provide A Relative Contribution Of 15.8% And Effective Contribution Of 10.2%, While Perceptions Of Accounting Teachers Make A Relative Contribution Of 84.2% And Effective Contribution Of 54.2%. (5) The Results Of The Calculation Of The Coefficient Of Determination R2 Are 0.643 Or 64.3%. This Means That Becoming An Accounting Teacher Is Influecedby Self Motivation And Perceptions Of The Accounting Teacher Profession And Career Guidance By 64.3%, While The Remaining 37.7% Is Influenced By Other Variables Outside Theresearch.Keywords: Self Motivation, Perception Of The Teaching Profession, And Interest In Becoming A Teacher.
Mobile Application as a Teaching Strategy to Learn English as a Second Language for Preschool Children

This article shows the process of design to create a mobile solution to reinforce learning in order to teach English as a second language to children under 5 years of age who attend preschool. Initially, planning is done identifying the generalities of the problem. The information about the requirements that clarify the scope of the software is collected. The pertinent analysis of a previously realized design is carried out, a design that includes previsualization of the application. The implementation is completed and the process is concluded with a phase of different tests that allow to identify flaws, for later correction of errors. The development was realized at the Universidad Distrital Francisco Jose de Caldas and the tests in the Localidad Ciudad Bolivar.
Effective and Stable Neuron Model Optimization Based on Aggregated CMA-ES

Computer simulations have facilitated our understanding of the dynamic behavior of the brain and the effect of the medical treatment such as deep brain stimulation. For improving the simulation model, it is essential to develop a method for optimizing parameters of a neuron model from available experimental data. In this paper, we apply Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES) to the parameter optimization problem, and compare it with widely used conventional approaches including genetic algorithm (GA) and the Nelder-Mead method. A problem we have observed with CMA-ES is that the performance highly depends on the initial condition. To overcome the problem, we extend CMA-ES by making an aggregation of evolution. We analyze a public dataset recorded from a rat neocortical neuron, which shows that the proposed approach achieves higher performance than the conventional methods.
SYSTEM APPROACH TO RESEARCH OF MODERN MARKETS OF INFOCOMMUNICATION SERVICES

The problem of the application of effective scientific approaches to the study of the transformation of the markets of infocommunication services, which are caused by the impact of powerful technological innovations, has been studied.The concepts are clarified: systems approach, markets of infocommunication services, infocommunication services.The following tasks have been set and solved.The possibility and expediency of using a systems approach for the study of modern infocommunication services markets is substantiated.Designed a system model of these markets.The model is a global network that is integrated into the global cyberspace of the Internet.The system organization of the modern markets of infocommunication services is investigated.The following subsystems are considered: infocommunication services consumers; global communications; manufacturers, intermediaries and distributors of information products, Internet companies, media and other Internet agents.
Regularized Programming with the Bosque Language

The rise of Structured Programming and Abstract Data Types in the 1970’s represented a major shift in programming languages. These methodologies represented a move away from a programming model that reflected incidental features of the underlying hardware architecture and toward a model that emphasized programmer intent more directly. This shift simultaneously made it easier and less error prone for a developer to convert their mental model of a system into code and led to a golden age of compiler and IDE tooling development. This paper takes another step on this path by further lifting the model for iterative processing away from low-level loop actions, enriching the language with algebraic data transformation operators, and further simplifying the problem of reasoning about program behavior by removing incidental ties to a particular computational substrate and indeterminate behaviors. We believe that, just as structured programming did years ago, this regularized programming model will lead to massively improved developer productivity, increased software quality, and enable a second golden age of developments in compilers and developer tooling.
An Exploratory Research into the Conflict Management for Improving Sustainability of Ulsan Whale Festival

Ulsan whale festival is well-known for an unique regional festival as using the history of whaling in Jangsaengpo where was the center of whaling industry in S. Korea. However the festival has not shown good results expected recently. We may point out many reasons for that, but this study pays attention to the conflict among stakeholders of the festival. Ulsan whale festival has such programs watching a dolphin show, trying whale meat temporarily. Those things are reasons of the conflict, between pros and cons of the protecting whales over the festival. Unfortunately, the conflict has not controlled effectively and drives down the performance of the festival. Therefore, the festival need to have conflict solutions to achieve results. This study goes deep into the reasons of the conflict, and suggests the conflict management method for being a eco-friendly festival. This study adopts qualitative method, and can be an reference for empirical and further study.
Amplification Theorems for Differentially Private Machine Learning

Presented on April 1, 2019 at 11:00 a.m. in the Klaus Advanced Computing Building, Room 1116E.
Phishing Detection Using Visual Cryptography

Phishing is an attempt by an individual or a group to thieve personal confidential information such as passwords, credit card information etc from unsuspecting sufferer for burglary, financial gain and other criminal activities. The first defense should be strengthening the authentication mechanism in a web application. A simple username and password based authentication is not sufficient for web sites providing critical financial transactions. Here we have advised a new way for phishing websites classification to solve the problem of phishing. Phishing websites involves a collection of key within its content-parts as well as the browser-based security indicators provided along with the website. The use of images is try to keep the privacy of image captcha by dissolve the original image captcha into two shares that are stored in separate database servers such that the original image captcha can be acknowledged only when both are available together the individual sheet images do not confess the status of the original image captcha. Once the original image captcha is announced to the user it can be used as the password. Several solutions have been suggested to handle phishing.
Image Classification using CNN and Machine Learning

Here by in this paper we are interested for classification of Images and Recognition. We expose the performance of training models by using a classifier algorithm and an API that contains set of images where we need to compare the uploaded image with the set of images available in the data set that we have taken. After identifying its respective category the image need to be placed in it. In order to classify images we are using a machine learning algorithm that comparing and placing the images.
A novel approach to jointly address localization and classification of breast cancer using bio-inspired approach

Localization of the cancerous region as well as classification of the type of the cancer is highly inter-linked with each other. However, investigation towards existing approaches depicts that these problems are always iindividually solved where there is still a big research gap for a generalized solution towards addressing both the problems. Therefore, the proposed manuscript presents a simple, novel, and less-iterative computational model that jointly address the localization-classification problems taking the case study of early diagnosis of breast cancer. The proposed study harnesses the potential of simple bio-inspired optimization technique in order to obtained better local and global best outcome to confirm the accuracy of the outcome. The study outcome of the proposed system exhibits that proposed system offers higher accuracy and lower response time in contrast with other existing classifiers that are freqently witnessed in existing approaches of classification in medical image process.
One-Pixel Adversarial Example that Is Safe for Friendly Deep Neural Networks

Deep neural networks (DNNs) offer superior performance in machine learning tasks such as image recognition, speech recognition, pattern analysis, and intrusion detection. In this paper, we propose a one-pixel adversarial example that is safe for friendly deep neural networks. By modifying only one pixel, our proposed method generates a one-pixel-safe adversarial example that can be misclassified by an enemy classifier and correctly classified by a friendly classifier. To verify the performance of the proposed method, we used the CIFAR-10 dataset, ResNet model classifiers, and the Tensorflow library in our experiments. Results show that the proposed method modified only one pixel to achieve success rates of 13.5% and 26.0% in targeted and untargeted attacks, respectively. The success rate is slightly lower than that of the conventional one-pixel method, which has success rates of 15% and 33.5% in targeted and untargeted attacks, respectively; however, this method protects 100% of the friendly classifiers. In addition, if the proposed method modifies five pixels, this method can achieve success rates of 20.5% and 52.0% in targeted and untargeted attacks, respectively.
NEW EXPERIENCES FOR THE INTERNATIONAL CO-OPERATION AND THE IMPACT ON STUDENTS’ PROFESSIONAL DEVELOPMENT AND ACTIVE POSITION

NEW EXPERIENCES FOR THE INTERNATIONAL CO-OPERATION AND THE IMPACT ON STUDENTS’ PROFESSIONAL DEVELOPMENT AND ACTIVE POSITION
Advertising Rhetoric And Positive Versus Negative Emotions In Health Promotions

The current study integrates and applies advertising rhetoric and appraisal theory of emotion in preventive health promotions. The experiment was designed to test the effects of advertising rhetoric in conjunction with emotional appeals in a public service announcement (PSA) promoting the USDA food pyramid website. The study demonstrates that the combination of advertising rhetoric (a rhyme scheme and a metaphor trope) and emotional appeals (pride and shame) can influence ad-processing outcomes in print advertising. In particular, results show that the emotion pride is more effective in combination with a trope than the emotion shame in combination with a trope on readership of copy, attitude towards the ad, and behavioral intention. When paired with a scheme, pride did not differ from shame in its effect on advertising outcomes.
PhisioStream: on the use of general-purpose log management and streams processing software stacks for first-responders monitoring

Several off-the-shelf frameworks are available to support the Internet of Things (IoT) use cases, including sensors data acquisition, processing, and visualization. These software stacks are engineered around the abstraction of streams (of data), enabling a high level of neutrality to the application domain. In this work, we explore the use of existing IoT and log management tools to enable first response teams monitoring, in the context of the VR2Market project’s requirements. The objective is to deploy general-purpose, proven monitoring frameworks to enhance the analytical capabilities of teams monitoring, not only for tracking the position of individuals, but also to monitor their physiology and detect alarming conditions. The proposed system, PhisioStream, leverages on streams processing tools, especially the Apache Kafka suite, and Grafana for advanced visualization. The mission command is able to gather both current and historical physiology of each member in a rich dashboard. Advanced users can reconfigure the dashboard, for different views of the missions’ data, without the need for coding new features.
Consumer Innovation Shout Out: Walmart & The Rise of Retail Robots - Viewpoints on Innovation

Are robots the future of retail? Walmart is betting so, recently announcing plans to build an autonomous workforce.
LibGuides: Named Collections Map and Overviews: Collection Map

A composite of Trible library's named collections, their respective locations, and associated contents. A rotating gallery of the 1st and 2nd floors of the library and the collections they comprise.
GAMIFICATION IN CIVIL ENGINEERING: KAHOOT! AS PART OF THE TEACHING-LEARNING METHOD IN THE SUBJECT OF ‘BUILDING’

GAMIFICATION IN CIVIL ENGINEERING: KAHOOT! AS PART OF THE TEACHING-LEARNING METHOD IN THE SUBJECT OF ‘BUILDING’
Dynamic Movement of American English Monophthongs in the hVd Syllable: Evidence from Pattern Recognition Modeling with Cepstral/Spectal Parameters

Traditionally the steady-state central section of the vowel length has been assumed to characterize the vowel quality. However, since Peterson and Barney (1952), this position has been challenged especially for American English monophthongal vowels. In this paper, introduced are low-ordered 12 mel-scale frequency cepstral coefficients (MFCC), which can characterize the shape of the oral cavity filter for monophthongal vowel production in the mel-scale domain. Four pattern recognition classification models are fitted to the measurements of spectral and cepstral parameters at multiple sections of the vowel duration along with F0, Gender and Duration for the AE vowel signals in the hVd syllable in Hillenbrand et al. (1995). It turns out that pattern recognition classifiers with the cepstral properties outperform those with spectral properties, reaching the perception level of American English listeners’.
STUDENT LEARNING AND ENGAGEMENT IN TECHNOLOGY-RICH AUTHENTIC LEARNING ENVIRONMENT (TALE) THROUGH MOBILE APP

STUDENT LEARNING AND ENGAGEMENT IN TECHNOLOGY-RICH AUTHENTIC LEARNING ENVIRONMENT (TALE) THROUGH MOBILE APP
Connected business insurance and technology

Technology has drastically changed the landscape and the way we do business and how we look at  business insurance . Many organizations heavily rely on mobile devices, computers and network systems to conduct their day-to-day operations faster and across distances and time zones. With technology, there are also increased vulnerabilities to various types of cyber risks (theft of data, malware, virus, etc) and costs associated to a privacy beach.<