Reviewerly/exHarmony huggingface dataset:
INSIGHTS ON E-LEARNING WITH MOODLE: A STUDY BASED ON STUDENT GENDER, AGE, AND NATIONALITY

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 8653-8660ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.2142Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
Case Study on Nest’s “Internet of Energy (IoE)” Business Model : Based on Strategic Choices for Connected Product

The purpose of this study is to investigate Nest Labs (Nest)’s business strategy. The activities based on strategic choices for monetizing connected product are investigated. Nest’s capacity and functionality is to offer a seamless integration of devices, platforms, and services and the “Works with Nest” offers an ecosystem fulfilling the needs of different partners. For monetizing customer data, Nest provides a seamless customer experience supported by product incentives. Nest introduces open APIs to connect its connected products to the wider Internet of things (IoT) and open to “If This, Then That.” The Nest app controls them from one single place. Nest partners with 32 energy providers as of 2017 and they provide energy from renewable and non-renewable energy sources. Nest also creates a sales channels in direct and indirect route and expands is business model to other industries such as home-rental service, ‘AirBnB’ to help consumers become more energy-efficient at home.
A Study on the Reasonable Necessity Test of SPS Measures under the SPS Agreement

본 논문에서 살펴본 SPS협정상 필요성 요건은 제2.2조의 필요성으로 조치의 필요성과 적용의 필요성을 요구하고 있다는 점을 살펴보았다. 또한 WTO에 공통적으로 적용되어온 WAB을 검토함으로서 필요성 테스트의 첫 번째 단계, 쟁점조치에 대한 개별적인 평가에만 관련이 있었다. 이러한 점을 고려하면 향후 SPS협정하에서 분쟁이 발생하는 경우 쟁점조치에 대한 정당성을 주장하는 피제소국은 그들의 조치와 적용에서 있어서 필요성을 확인해야 하고 이를 고려해야 한다는 것이다. 아직까지 SPS협정의 분쟁사례에서 필요성을 명확하게 다룬 판결은 없지만 최근에 한국과 일본의 분쟁에서 보았듯이 SPS협정 하의 분쟁이 증가하고 있다는 점에서 SPS조치의 필요성에 대한 요건을 논리적으로 정리함으로서 정책입안자에 도움이 될 것으로 판단된다.It is important to note that the necessary requirements of the SPS Agreement as referred to in this paper require the necessary measure and necessary application for the necessity of Article 2.2. We have also looked at the WAB, which has been commonly applied to the WTO, and was only concerned with the first step in the need assessment and the individual assessment of the issue. In the event that a dispute arises under the SPS Agreement in the future, the respondent States that justify the issue action must identify and take into account the need for their action and application. Although there is no ruling yet to clarify the necessity of the SPS Agreement in the case of disputes in the SPS Agreement, as the recent disputes between Korea and Japan indicate that the dispute under the SPS Agreement is increasing. It would be helpful for policy makers to logically summarize the requirements for the need for SPS action by logically summarizing the requirements for the need for SPS measures.
Direct observation of the cell-wall remodeling in adhering Staphylococcus aureus 27217: an AFM study supported by SEM and TEM

We took benefit from Atomic Force Microscopy (AFM) in the force spectroscopy mode to describe the time evolution-over 24h-of the surface nanotopography and mechanical properties of the strain Staphylococcus aureus 27217 from bacterial adhesion to the first stage of biofilm genesis. In addition, Transmission Electron Microscopy (TEM) and Scanning Electron Microscopy (SEM) experiments allowed identifying two types of self-adhering subpopulations (the so-called 'bald' and 'hairy' cells) and revealed changes in their relative populations with the bacterial culture age and the protocol of preparation. We indeed observed a dramatic evanescing of the 'hairy' subpopulation for samples that underwent centrifugation and resuspension processes. When examined by AFM, the 'hairy' cell surface resembled to a herringbone structure characterized by upper structural units with lateral dimensions of ~70 nm and a high Young's modulus value (~ 2.3 MPa), a mean depth of the trough between them of ~15nm and a resulting roughness of ~5nm. By contrast, the 'bald' cells appeared much softer (~ 0.35 MPa) with a roughness one order of magnitude lower. We observed too the gradual detachment of the herringbone patterns from the 'hairy' bacterial envelope of cell harvested from a 16h old culture and their progressive accumulation between the bacteria in the form of globular clusters. The secretion of a soft extracellular polymeric substance was also identified that, in addition to the globular clusters, may contribute to the initiation of the biofilm spatial organization.
Discriminant Patch Representation for RGB-D Face Recognition using Convolutional Neural Networks

This paper focuses on designing data-driven models to learn a discriminant representation space for face recognition using RGB-D data. Unlike hand-crafted representations, learned models can extract and organize the discriminant information from the data, and can automatically adapt to build new compute vision applications faster. We proposed an effective way to train Convolutional Neural Networks to learn face patch discriminant features. The proposed solution was tested and validated on state-of-the-art RGB-D datasets and showed competitive and promising results relatively to standard hand-crafted feature extractors.
‘Iconographetic Communication’ in Digital Media

Emoji have become an integral part of modern digital communication. This chapter takes a closer look at this type of ‘iconographetic communication’, from a linguistic perspective. Today’s digital communication in which emoji are added to written language is compared to older forms of communication where pictograms accompanied texts. In addition to this historical perspective, a survey on the semiotic and semantic aspects of emoji are presented. The focus of the present chapter is on the functions of emoji in digital communication in which the so-called referential function (namely, that emoji are a part of the respective proposition) is of particular importance. Moreover, other various functions of emoji are explained, using examples from WhatsApp, Twitter, Instagram, and Facebook.
A Modeling Study of the Effects of Surprisal and Entropy in Perceptual Decision Making of an Adaptive Agent

Processing difficulty in online language comprehension has been explained in terms of surprisal and entropy reduction. Although both hypotheses have been supported by experimental data, we do not fully understand their relative contributions on processing difficulty. To develop a better understanding, we propose a mechanistic model of perceptual decision making that interacts with a simulated task environment with temporal dynamics. The proposed model collects noisy bottom-up evidence over multiple timesteps, integrates it with its top-down expectation, and makes perceptual decisions, producing processing time data directly without relying on any linking hypothesis. Temporal dynamics in the task environment was determined by a simple finite-state grammar, which was designed to create the situations where the surprisal and entropy reduction hypotheses predict different patterns. After the model was trained to maximize rewards, the model developed an adaptive policy and both surprisal and entropy effects were observed especially in a measure reflecting earlier processing.
Dimensionality reduction of EEG signal using Fuzzy Discernibility Matrix.

High dimensionality of feature space is a problem in supervised machine learning. Redundant or superfluous features either slow down the training process or dilute the quality of classification. Many methods are available in literature for dimensionality reduction. Earlier studies explored a discernibility matrix (DM) based reduct calculation for dimensionality reduction. Discernibility matrix works only on discrete values. But most real-world datasets are continuous in nature. Use of traditional discernibility matrix approach inevitably incurs information loss due to discretization. In this paper, we propose a fuzzified adaptation of discernibility matrix with four variants of dissimilarity measure to deal with continuous data. The proposed algorithm has been applied on EEG dataset-III from BCI competition-II. The reduced dataset is then classified using Support Vector Machine (SVM). The performance of the proposed Fuzzy Discernibility Matrix (FDM) variants are compared with original discernibility matrix based method and Principal Component Analysis (PCA). In our empirical study, the proposed method outperforms the other two methods, thus suggesting that it is competitive with them.
IN PURSUIT OF EXCEPTIONAL QUALITY OF STUDIES: THE ASPECT OF PERFECTION OF MASTER’S STUDY PROGRAMMES

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 10249-10254ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.2572Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
Artistic Virtual Reality as a Boundary Space Between Labor and Leisure - Based on My Works

This study analyzes my work on alternative virtual reality in the forthcoming Fourth Industrial Revolution. The movement towards the Fourth Industrial Revolution has led to a decline instable employment opportunities and the replacement of human labor by artificial intelligence (AI). During this transition period, individuals have witnessed are duction in their incomes and in the spaces they occupy. A techno-utopian view would envision such changes as the liberation from labor through AI, a new level of subjectivity that allows individuals to combine labor and leisure and enjoy artistic freedom, even in a small one-room dwelling. Yet the tempo-spatial distinction between labor and leisure remains clearly demarcated, and anxiety about the future and economic shortcomings persist as well. This paper proposes a middle ground between reality and gaming as an alternative virtual reality and suggests its use as an artistic means of resolving such anxiety. First, this paper addresses the artistic possibilities and limits of3D games, revealing the significance of having an artistic virtual reality as an alternative. Analyses of how historic places and my personal experience are synthesized in the work “Studio Adventure: Sewoon” then follows. “Studio Adventure: Sewoon” is based on careful observations of the situation around Young-Il Electronics in the Sewoon building, which remains as an artifact of the Electronics Age of the 1980s. Lastly, this paper presents factors for technological development that could promote audience participation in this work.
Simple and Secure Video Sharing

Hard disk drives, USB ﬂash drives and local storage servers are all storage solutions of the past. Cloud services are completely taking over and the major companies are adjusting to the new standard. Axis Communications provides complete surveillance systems and are currently transitioning towards incorporating cloud services in their software products. This master’s thesis aimed to research the potential for using cloud services to share video recordings, as well as developing a prototype for this purpose. Veriﬁcation tests were performed on the prototype to assess its usability. Cloud-based video sharing has during this thesis proven to be a highly viable contender to current solutions and may very well be the new standard in the future. (Less)
Augmenting a BiLSTM tagger with a Morphological Lexicon and a Lexical Category Identification Step

Previous work on using BiLSTM models for PoS tagging has primarily focused on small tagsets. We evaluate BiLSTM models for tagging Icelandic, a morphologically rich language, using a relatively large tagset. Our baseline BiLSTM model achieves higher accuracy than any previously published tagger not taking advantage of a morphological lexicon. When we extend the model by incorporating such data, we outperform previous state-of-the-art results by a significant margin. We also report on work in progress that attempts to address the problem of data sparsity inherent in morphologically detailed, fine-grained tagsets. We experiment with training a separate model on only the lexical category and using the coarse-grained output tag as an input for the main model. This method further increases the accuracy and reduces the tagging errors by 21.3% compared to previous state-of-the-art results. Finally, we train and test our tagger on a new gold standard for Icelandic.
Implementación, Innovación y Didáctica de las TIC en el aula, un Reto para las Instituciones Más Allá de lo Tecnológico.

The information society creates new challenges inside the educational institutions. An ICT plan in Colombia created from the government, private and public institutions or the same teacher, should be focused on the sum of experiences. We need to stop wondering about what technology represents but act accordingly with specific actions. Performing class practices that include ICT tools is a trend in formal and informal education. To Initiate processes for teacher training and the implementation of digital tools in the classroom, to create rubrics that implement digital practices, to create databases with repositories of ICT experiences, the use of virtual classrooms, computerized tools, the access to educational networks, to share Online content to generate technological, pedagogical and educational innovation, are some aspects that were considered in this study. The use of ICT requires teachers with new functions, new pedagogies and new approaches in teacher training. The best way is to plan the future by creating their own digital products, you can start with free web 2.0 tools. An implementation in ICT, requires innovation in teaching, changes in institutions that come from changes in the attitude of teachers and a 3.0 attitude, which integrates the digital aspect to daily life and to class practices with high creative sense.
Modeling performance differences on cognitive tests using

Maury Courtland, Aida Davani, Melissa Reyes, Leigh Yeh, Jun Leung, Brendan Kennedy, Morteza Dehghani, Jason Zevin. Proceedings of the Third Workshop on Natural Language Processing and Computational Social Science. 2019.
Is the proof (of speech freedom) in the cake? Forme e limiti della libertà di espressione nella recente giurisprudenza statunitense e britannica

The presentessay aims to analyze two recent judgements of the United States and United Kingdom Supreme Courts  eferring to “symbolic speech”. In particular, both deal with the (possible) clash of rights of protection of homosexuals against discrimination and those of freedom of expression (and religion) of people who interact with them and disapprove homosexuality and related conducts. After a brief description of these cases and the judicial solutions adopted, some critical reflections will be drawn about the extension of the constitutional principle of freedom of expression and the slippery slope of an excessive (and perhaps discriminating)enlargment of it.
LAPTOP SEBAGAI MEDIA PEMBELAJARAN INTERAKTIF BERBASIS TEKNOLOGI INFORMASI DI SEKOLAH DASAR

Along with the progress of the times, the application of modern technology and the present is increasingly being promoted in various sectors of life, including in the world of education. The use of media in the learning process is one of the efforts to create more meaningful and quality learning. One of the most advanced and widely used technologies today is laptops. The use of laptops in learning is widely used, but in its application there are not many teachers who understand and utilize these technologies. Laptops as information technology and interactive learning media are able to make students more active, creative, fun learning, not boring and increase students' interest in learning.
Data access control algorithm based on fine-grained cloud storage

In order to ensure the cloud storage security and achieve fine-grained data access control, a new fine-grained data access control algorithm is established based on CP-ABE algorithm. The basic theory of CP-ABE algorithm is studied in depth, and then the fine-grained cloud storage controlling scheme based on digital envelope is put forward. The new scheme construction process is given, and then the corresponding algorithm is designed. Simulation analysis is carried out, results show that the proposed data access control algorithm can effectively improve the searching efficiency of cipher text, and achieve fine-grained access under cloud storage environment.
What’s the Form and What Does This Mean? Approaching a Large Primo/Alma Consortial Implementation

The State University of New York (SUNY) is comprised of 60 institutions going live in July 2019, with diverse campus types and levels of complexity for library technology. One of SUNY’s main implementation goals was for campus staff to focus less on learning the implementation structure and process used by Ex Libris and instead make as much of the campus experience about learning Alma and transitioning from current to new practices in a contemporary system in a shared environment. A secondary goal of the implementation was to provide as much contextualized training that would help our libraries not only learn workflows in Alma, but to learn why workflows had changed or were configured this way in Alma. These goals led the SUNY Project Managers to approach the myriad of forms Ex Libris uses for migration as an effort we needed to approach as a larger project problem, not a campus problem, which led to the project managers creating and submitting migration forms for 52 of our 60 campuses on their behalf. This approach certainly led to efficiencies, but also led to issues we needed to address via training. As we’ve developed understanding of how our campuses are engaging with learning Alma and Primo, we identified a need to go from webinars to short courses so that training is always contextualized, and packaged in a way that the learning is scaffolded, enabling campuses to engage with Alma in a way that is unified, but is also appropriately chunked into meaningful learning modules.
Penggerombolan Data Panel Perusahaan Sektor Barang Konsumsi

The identification of the cluster of consumer goods sector companies is enough important study to examine the characteristics of the company based on its marketing management factors. This study seeks to cluster 23 consumer goods sector companies based on 4 marketing management factors, which are production costs, promotion costs, distribution costs, and sales value in 2012-2016. There are two parts of clustering that are carried out, the clustering of consumer goods sector companies based on the time series pattern for each marketing management factor with the ward method, and clustering of consumer goods sector companies using multivariate panel data using the k-means method. The results of the clustering for each marketing management factor using the ward method produced 2 groups in each factor, with cluster 2 having an average of each factor greater than group 1. The companies found in cluster 2 were PT Indofood CBP Sukses Makmur, PT Indofood Sukses Makmur, PT Mayora Indah, PT Unilever Indonesia Tbk, PT Handjaya Mandala Sampoerna Tbk, International Investama Tbk, PT Kalbe Farma Tbk, and PT Tempo Scan Pacific Tbk. On the other hand, clustering of multivariate panel data produced 6 groups where group 5 is the cluster with the highest average on each factor. Group 5 consists of PT Indofood Sukses Makmur and PT Handjaya Mandala Sampoerna Tbk. The company with the highest value in multivariate panel data is also found in the results of the cluster with the highest value for each marketing management factor.
Research on Digital Serialization Method of Program Code

There are a large number of knowledge patterns in the massive code, which can be automatically obtained through data mining technology. Program code is a special data format, which can not be directly used as input to data mining algorithm. Aiming at this problem, this paper proposes a digital serialization method of program code. By this method, the program code data is converted into a data format that can be mined and the serialized data retains the structure information of the program code. The code serialization data with structural information guarantees the accuracy of the mining results to a certain extent. The classic data mining algorithms such as PrefixSpan, Spade and Spam are used to test the validity of the data format converted by the digital serialization method.
AN EVALUATION OF THREE SOLAR ARCHITECTURE HOUSING PROJECTS USING THE ANALYTIC HIERARCHY PROCESS (AHP)

ABSTRACT Negative effects stemming from global warming all over the world, depletion of fossil fuels, technological developments and transformation of building living spaces have not only increased the need for energy but enhanced the need for new energy resources. Within this environment, sustainable, clean and renewable energy resources, and the utilization of these resources, need to be expanded. It is necessary to take advantage of solar energy both worldwide and in Turkey throughout the four seasons to produce profitable architectural methods at the maximum rate. Accordingly, a study was made in which a group of students modified their housing projects from a previous semester to use solar architecture which ensures maximum benefit from solar energy with the aim of gaining experience of solar architectural methods. The transformation of three different housing projects into solar architecture to benefit from the solar architecture has been performed using the methods in architecture. Identifying which is the most efficient project providing the maximum benefit from the three different solar architecture projects will demonstrate the success of the solar energy methods used. Within this context, the Analytic Hierarchy Process (AHP) has been used to decide which is the most successful solar architecture project and solar energy system.
Real-time Claim Detection from News Articles and Retrieval of Semantically-Similar Factchecks.

Factchecking has always been a part of the journalistic process. However with newsroom budgets shrinking it is coming under increasing pressure just as the amount of false information circulating is on the rise. We therefore propose a method to increase the efficiency of the factchecking process, using the latest developments in Natural Language Processing (NLP). This method allows us to compare incoming claims to an existing corpus and return similar, factchecked, claims in a live system-allowing factcheckers to work simultaneously without duplicating their work.
Senior High School Teachers’ Responses Towards the Use of PowerPoint in Developing Teaching Materials in Indonesian Context

This study aims to investigate senior high school teachers' responses towards the use of PowerPoint in preparing teaching materials in their classroom context.This study involved 40 participants coming from several senior high schools in Malang Regency.The data were collected by using questionnaire and observation sheet.The questionnaires were distributed after the implementation of the workshop about the use of multimedia for teaching and learning activities.The results show that the teachers have positive responses towards the use of PowerPoint in their classroom because it helps them prepare the materials well as well as provide interesting media for their students to avoid boredom.The PowerPoint features which are frequently used are animation, pictures, video and audio recording.The next researchers are suggested to investigate further about the use of PowerPoint or other types of multimedia in different grades and levels of education.