Reviewerly/exHarmony huggingface dataset:
ASSETS 2019 accessible posters and demos report

The ASSETS conference is a leading HCI venue committed to making computing accessible for people with disabilities. Increasingly, the venue itself has become more accessible as the ASSETS community strives for improvement. For example, the conference provides ASL interpreters and live captioning, and the ASSETS community strongly emphasizes the importance of accessible papers and presentations. However, posters and demos have rarely been accessible to attendees who are blind or low vision. As Posters and Demos co-chairs for ASSETS 2019, Accessibility co-chair Dhruv Jain reached out to us with an idea to make the poster and demo sessions more accessible to blind and low vision conference attendees. Following Dhruv's lead, we added audio summaries and alt-text descriptions to the posters and demos web pages for the conference. Attendees could go to the ASSETS 2019 website, find each poster or demo title, and access a short 1-2 minute audio clip describing the poster and alt-text for imagery that appeared on the poster. In this article, we summarize our approach to making poster and demo sessions more accessible, provide some informal feedback from conference attendees about their experiences, and offer suggestions for future Poster chairs to make their poster sessions more accessible.
PENGARUH KEAKTIFAN BERORGANISASI DAN PERILAKU BELAJAR TERHADAP PRESTASI AKADEMIK MAHASISWA PENDIDIKAN MATEMATIKA UIN ALAUDDIN MAKASSAR

This research is an Ex-Post Facto research that aims to determine the effect of organizational activeness and learning behavior on academic achievement of students of mathematics education at UIN Alauddin Makasssar. Data analysis techniques used descriptive statistical analysis of percentages and multiple linear regresy analysis. Descriptive analysis result showed that the percentage of student activiness in the category of good with a percentage of 56%, learning behavior included in the good category with a percentage of 68%, and academic achivment included in the category of very satisfying with the interval values of 3.01 – 3.50. The result of multiple linear regression analysis showed that the activeness of organization and learning behavior together significantly influenced the academic achievement of students of mathematics education at Alauddin UIN Makassar, with a regression equation Ŷ = 3.551 - 0.014X1 + 0.012X2 with a coefficient of determination r2 = 0.332. from the results of above study, it can be concluded that there is an effect of organizational activeness and learning behavior on academic achievement of mathematics education students at UIN Alauddin Makassar. AbstrakPenelitian ini merupakan penelitian Ex-Post Facto yang bertujuan untuk mengetahui pengaruh keaktifan berorganisasi dan perilaku belajar terhadap prestasi akademik mahasiswa pendidikan matematika UIN Alauddin Makassar. Teknik analisis data menggunakan analisis statistik deskriptif presentase dan analisis regresi linier berganda. Hasil analisis deskriptif persentase menunjukan bahwa keaktifan berorganisasi mahasiswa masuk dalam kategori baik dengan persentase 56%, perilaku belajar termasuk dalam kategori baik dengan persentase 68%, dan prestasi akademik termasuk dalam kategori sangat memuaskan dengan interval nilai 3,01 – 3,50. Hasil analisis regresi linier berganda menunjukkan bahwa keaktifan berorganisasi dan perilaku belajar secara bersama-sama berpengaruh secara signifikan terhadap prestasi akademik mahasiswa pendidikan matematika UIN Alauddin Makassar, dengan persamaan regresi Ŷ=3.551 - 0,014X1 + 0,012X2 dengan koefisien determinasi r2 = 0,332. Dari hasil penelitian di atas, maka dapat disimpulkan bahwa terdapat pengaruh keaktifan berorganisasi dan perilaku belajar terhadap prestasi akademik mahasiswa pendidikan matematika UIN Alauddin Makassar.
Human Action Recognition Based on Dual Correlation Network

Learning to capture long-range relations is essential for video recognition. Modern deep learning systems capture spatio-temporal correlation via 3D CNNs. However, it is highly inefficient. In this work, we propose a Dual Correlation Network (DCN) to elaborate the relationship between channels of 3D CNN along with time series. DCN is designed with a self-attention network in the way of a dual path. The channel correlation path selectively emphasizes interdependent channel maps by integrating associated features among all channel maps. The temporal connection path selectively picks temporal relation by integrating associated features among temporal maps. To address action recognition task, we insert the DCN block to MFNet [3]. Experimental results on the Kinetics, UCF-101 and HMDB-51 demonstrate that our network achieves superior performance to the existing state-of-the-art methods on these three datasets.
A better forecast

Early Years EducatorVol. 21, No. 12 EditorialA better forecastKaren FauxKaren FauxEditorSearch for more papers by this authorKaren FauxPublished Online:2 Mar 2020https://doi.org/10.12968/eyed.2020.21.12.5AboutSectionsView articleView Full TextPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareShare onFacebookTwitterLinked InEmail View article FiguresReferencesRelatedDetails 2 April 2020Volume 21Issue 12ISSN (print): 1465-931XISSN (online): 2052-4617 Metrics History Published online 2 March 2020 Published in print 2 April 2020 Information© MA Education LimitedPDF download
INSIDER: An Android Application for Automatic Categorization of News Items by Using LDA

The objective of this work is to propose a real time newsfeed system for an Android smart phone. This work proposes a system for automatic categorization of news items into a standard set of categories. Newsfeed system i.e. ‘INSIDER’ changes the things around a little. This android application is useful to provide relevant and up to date information as per user’s requirement. It provides a platform to personalize and organize their news feed based on their interest. The main purpose of implementing this system is to increase the accessibility of important notices. It classifies the messages category wise. Latent Dirichlet Allocation (LDA) topic modeling technique is used to achieve the goal of this work. LDA algorithm is “generative probabilistic model” basically works on discrete data. This work is validated using a data set taken from “newsapi.org”.
Planning Optimal Library Spaces: Principles, Processes, and Practices

"Planning Optimal Library Spaces: Principles, Processes, and Practices." Journal of Access Services, 17(2), pp. 107–108
Editorial for Special Issue “Novel Methods and Applications for Mineral Exploration”

The mineral exploration industry is [...]
Design of an Autonomous Mobile Robot as a Base Platform for Research of Cyber Physical Systems

The present article proposes the design and construction of a mobile robot for interiors with a Cyber Physical System (CPS) approach. It has the capacity to navigate in indoor environment and it also recognizes its surroundings by the Simultaneous Localization and Mapping (SLAM). In the generated map, the platform is able to navigate and to plan different trajectories towards the goal, recognizing obstacles, avoiding them and optimizing the routes. Besides, a docking station was built to charge and monitor the machine. It has a projection to work together with other robots and humans throughout IoT protocols.
Being FAIR; Having Trust: How clear uncertainty information can increase the accurate reuse of our data.

Earth and Space Science Open Archive PosterOpen AccessYou are viewing the latest version by default [v1]Being FAIR; Having Trust: How clear uncertainty information can increase the accurate reuse of our data.Authors Shelley Stall iD Robert Downs iDSee all authors Shelley StalliDCorresponding AuthorAmerican Geophysical UnioniDhttps://orcid.org/0000-0003-2926-8353view email addressThe email was not providedcopy email addressRobert DownsiDColumbia UniversityiDhttps://orcid.org/0000-0002-8595-5134view email addressThe email was not providedcopy email address
A Study on Possibility of Replacement of the Japanese Similar Expression on the Basis of Network Model

This study focused on Japanese expressions that can be used interchangeably and provides cognitive reasoning for the possibilities and impossibilities of substituting one of these expressions for another. In particular, the study focused on the Japanese expressions [dakaratoitte] and [katoitte], reflecting on substitution likelihood using a network model based on surveys by Japanese native speakers. It was found, for example, that Japanese native speakers use the expression [dakaratoitte], when the speaker strongly denies the relationship between the events that precede and follow [dakaratoitte ]; rather, they recognize the event as only being part of the sentence which is placed after [dakaratoitte]. In addition, although speakers use the expression [katoitte] to deny the relationship between the events from the sentences in front of [katoitte], [katoitte] is also used when the speaker recognizes that the event from the sentences after [katoitte] is one of the many events.
Alternative methods of selection of actions in cognitive architects using anigrafs in CST

This project consists of studying and implementing several different choices of action policies, as suggested in the book “Anigrafs - Experiments in Cooperative Cognitive Architectures”, incorporating them in CST, a toolkit for the construction of cognitive architectures, developed in the research group of Prof. Ricardo Gudwin at FEEC-UNICAMP. As a basis for this study, we mainly used the method presented in the book, tol be added to CST, contributing to the different methods currently available in it. To test these different policies, we developed small experiments in a virtual environment.
E-learning and its applications in the educational environment An analytical view of the reality and ambition of educational technology

E-learning is one of the most important methods of modern education, it helps in solving the problem of the knowledge explosion, the increasing demand for education, expanding opportunities for admission to education, and being able to train and educate workers under the names of teachers and teachers and qualify them to master e-learning and their practice of it, and to teach students and their interaction with this type From education, which contributes to raising the percentage of learners, to producing effective and successful educational outcomes for students . E-learning carries the broad ability to reach both resources and individuals, as it has become available for individuals, including teaching cadres, students, departments, and creating a large number of educational technology opportunities . This era is characterized by rapid changes resulting from scientific and technological progress and information technology, so it has become necessary to keep pace with the educational process of these changes to meet the problems that may arise from them such as the large number of information, the increase in the number of students, the shortage of teachers and the distances .With the advent of the technological revolution in information technology, which made the world a small village, the need to exchange experiences with others and their interaction and desire for technological communication increased, and the student's need for rich multi-source environments for research and self-development. The concept of e-learning, which is a method of education in communicating Information for the learner, depends on the modern technologies of the computer and the global network and its multimedia (CDs, educational software, e-mail, discussion and discussion arenas, virtual classes ) . We will address what is related to e-learning through:First: The goals of e-learning and the scope of achieving its applications in the educational environment . Second: The difficulties of employment and applications of e-learning from the viewpoint of professors and students, capabilities and technical support for school and university departments . Third: Offering some of the modern teaching strategies, methods and methods that fall under the e-learning umbrella, according to the applications of educational technology .Fourth: The skills and applications of preparing educational software for electronic slides and the extent of their mastery by the instructor and providing them within the educational classroom environment .Fifth: The real, ambitious, online teacherSixth: How to transform traditional education into e-learning and the extent to which formal curricula interact with educational technology .
Data Sharing Toolkit: Lessons learned, resources and recommendations for sharing data

Data plays a major role in the European economy, and building a European data economy is one of the strategic goals of the European Commission. Through the increase of data science techniques, not least Machine Learning (ML) and Artificial Intelligence (AI), the value and role of data as an asset becomes ever more crucial. This has made it more important for data to be accessible. However, much of the data that many solutions require are held within private organisations - and are only available if they are shared. Data sharing in this sense means allowing third parties specifically permissioned access to datasets to generate value. This toolkit has been developed to help organisations that want to generate value by sharing data or facilitating data sharing. We explain the concept, challenges, and processes to enable successful data sharing, and provide resources and recommendations. It is derived from experience collected in the Data Pitch programme and related national and international initiatives, such as the Smart Cities Innovation Framework Implementation (SciFi), the European Data Incubator (EDI), as well as several recent pilots for data trusts in the UK.
‘Simple photograph’ or work of art? Well-known image of Judges Falcone and Borsellino deemed insufficiently creative for protection under Article 2 of the Italian Copyright Act

Abstract Rome Court of First Instance, 17th Civil Section specialized in enterprise matters, decision on 12 September 2019, No. 14758 The Rome Court of First Instance ruled that a well-known photograph depicting the Italian judges Falcone and Borsellino, relaxed and smiling during a conference in Palermo on 27 March 1992, does not fall within the scope of protection of Article 2 of the Italian Copyright Act because it is not characterized by sufficient creativity and because its author did not have an artistic objective in mind a priori.
Technical Integration of Data Repositories: status and challenges

Presentation delivered in EOSC SYNERGY Second All Hands Meeting, Valencia, January 28-30, 2020.
All-optical deep feed forward network based on nonlinear microresonators for telecom applications (Conference Presentation)

Recently, there have been a renewed interest on brain-inspired (neuromorphic) computing schemes that are directly implemented on a physical platform. In fact, such optical or electrical platforms allow performing important computational tasks at a speed much higher than the software-based counterparts. Here we propose to use neuromorphic silicon photonics to recover data integrity directly in the optical domain outperforming the electronic performances. We demonstrate a silicon photonic Feed Forward Network that can be trained to solve several tasks directly in the optical domain: linear and non-linear distortion recovering, demodulation of complex modulated data and error correction.
Corporate governance and investment cash-flow sensitivity: evidence from Tunisia

The aim of this paper is to investigate the effect of corporate governance quality on investment cash-flow sensitivity. We use panel data for a sample of 40 Tunisian non-financial firms listed on the stock exchange over the 2007 to 2016 period. Our results indicate that investment is sensitive to cash-flow but this investment cash-flow sensitivity is reduced when firms exhibit better governance quality. These findings suggest that improvement of corporate governance can solve agency problems and reduce financial constraints. We conclude that better governance leads to more efficient investment allocation in Tunisia.
LibGuides: Teaching Online: Library Resources in WebCampus

This guide provides information, tools, and resources to support online instruction for those teaching online.
Apply Yourself! An Active Learning Lesson Plan for Introducing Secondary Dominants

Applied chords provide an entrance point into the study of chromatic harmony and modulation. It is essential that students fully understand the tonicizing function of these chords and that they are able to sing and hear these harmonies in a musical context. This lesson plan provides an introduction to applied chords using examples that students can analyze and perform in class to help them gain the necessary fluency with these important chromatic chords.
A super-resolution reconstruction method for remote sensing images based on Adam optimized depth convolution network

Super-resolution reconstructed convolution neural network (SRCNN) is widely used in image quality improvement of single image. Traditional SRCNN training uses the loss function of minimum mean square error (MSE) and the method based on stochastic gradient descent (SGD) to optimize. Its learning rate adjustment strategy is limited by pre-specified adjustment rules, and it is difficult to select the initial value. Considering the complex texture and low resolution of remote sensing images, a deconvolution layer is proposed to replace the bi-cubic interpolation enlarged image in the traditional SRCNN network to overcome the mosaic effect. At the same time, Adam optimizer is used to control the network training. After considering the first and second moment estimation of gradient comprehensively, the update step is calculated. Thus, the adaptive update of learning rate is realized and the speed of network training is greatly accelerated. The simulation results show that this method has advantages in edge reconstruction and texture details compared with the conventional super-resolution reconstruction algorithm.
AKUNTABILITAS DAN TRANSPARANSI PENGELOLAAN ANGGARAN PENDAPATAN DAN BELANJA SEKOLAH TERHADAP KINERJA GURU DI SMP NEGERI 1 TANJUNGBALAI

This study aims to determine the effect of accountability and transparency in the management of budge and expenditure income (APBS) on the performance of teachers in the state junior high school 1 Tanjungbalai. This type of research is associative/quantitative, with the population and sampel used are all teachers in public junior high school 1 Tanjungbalai. The type of data is primary data in the form of questionnaire results. Data analysis techniques using multiple regression analysis. The result of the questionnaire indicate that accountability of the management of APBS has a positive and significant effect on teacher performance, where tcount 3,475 > ttable 2,048 dan significant 0,002 ttable 2,048 and significant 0,010 Ftable 3,33 and significant 0,001 < 0,05.
Parallelism Between the Main Paradigms for Forming a Scientific and Cognitive Strategy and a Scientific-World-Viewed Culture

To trace the parallelism between the main paradigms of the formation of the scientific-cognitive strategy and scientific–world–viewed culture. The traditional model of cognition does not meet modern requirements, and therefore, within the framework of the Post-nonclassical Science Strategy, there is a need for a radical restructuring of the cognitive strategy and its transition to a completely different level of methodology. The triad system A, B, C is a more spectacular scientific-cognitive system, the feature of which is the effective replenishment of knowledge of different levels and values (triad A, B, C), as a necessary condition for increasing scientific–world–viewed culture level. Each of them (triad A, B, C) does not cease to be an element of the initial integrity of the cognitive process. The regularity of the relationship of the triad A, B, C are important prerequisites for the progressive, consistent formation and development of scientific–world–viewed culture. As a result of the introduction of the concept, the technology of cognitive activity is changing at the social and individual levels. Thanks to the Idea, the provisions of the state, public and individual policies regarding the triad A, B, C and, in general, the problem of the formation of scientific–world–viewed culture are changing to one degree or another.
Hybrid Nature-Inspired Optimization Techniques in Face Recognition

Nature has been a very effective source to develop various Nature Inspired Optimisation algorithms and this has developed into an active area of research. The focus of this paper is to develop a Hybrid Nature-inspired Optimisation Technique and study its application in Face Recognition Problem. Two different hybrid algorithms are proposed in this paper. First proposed algorithm is a hybrid of Gravitational Search Algorithm (GSA) and Big Bang-Big Crunch (BBBC). The other algorithm is an improvement of the first algorithm, which incorporates Stochastic Diffusion Search (SDS) algorithm along with Gravitational Search Algorithm (GSA) and Big Bang-Big Crunch (BB-BC). The hybrid is an enhancement of a single algorithm which when incorporated with similar other algorithms performs better in situations where single algorithms fail to perform well. The algorithm is used to optimize the Eigen vectors generated from Principal Component Analysis. The optimized Eigen faces supplied to SVM classifier provides better face recognition capabilities compared to the traditional PCA vectors. Testing on the face recognition problem, the algorithm showed 95% accuracy in the ORL dataset and better optimization capability on functions like Griewank-rosenbrock, Schaffer F7 in comparison to standard algorithms like Rosenbrock, GA and DASA during the Benchmark Testing.
Streaming Graph Ingestion with Resource-Aware Buffering and Graph Compression

Ingesting high-speed streaming data from social media into a graph database must overcome three problems – 1) the data can be really bursty, 2) the data must be transformed into a graph and 3) the graph database may not be able to ingest high-burst, high-velocity data. We have developed an adaptive buffering mechanism and a graph compression technique that effectively mitigate the problem.
The impact of text messaging and modern technological applications on linguistic proficiency

This study intends to illustrate the effect of text messaging and modern technological applications on the linguistic proficiency of individuals. It focused on introducing clear examples of the mistakes made by individuals while writing text messages. Here, some studies encouraged the use of text messages as it has many positive effects and other studies ensured that text messages have many negative effects. The study results indicated that using and understanding the shortened forms of SMS language has unique meanings depending on the group that it belongs to as it indicates the belonging of persons to a certain group and avoids the strangers. Therefore, SMS language is thought to be the secret code of youth. There is a fact that abbreviations are used because of space restrictions and young adults try to use them.
Video System Adaptation Methods for Challenging Environment Conditions

This article discusses existing methods and systems adaptation to challenging meteorological conditions, qualitatively assesses their effectiveness, outlines the problems of their use in certain conditions, and based on this information, suggestions were made for their solution.