Reviewerly/exHarmony huggingface dataset:
ORGANIZATIONAL TEMPORALITIES AND RADICAL DIGITAL TRANSFORMATION: A STUDY OF OPEN GOVERNMENT IN SAUDI ARABIA’S IT-BASED ECONOMY

The Information systems (IS) literature has discussed time in some detail, including how Infor-mation Technology (IT) enables the bridging of problems associated with temporal distance in IT-mediated teams, facilitating teams’ decision-making process, speeding up business processes as well as stretching time through enabling actors to multitask by utilizing IT artefacts. However, there has been a tendency to focus only on time as a linear objective construct, thus neglecting its subjective and socially constructed nature. In this paper, we argue that this subjective and socially constructed characteristic is deserving of more attention in IS literature. To examine the interplay of objective and subjective views of time whilst undergoing digital transformation and its effects and outcomes, a qualitative, comparative case study approach is embraced here to understand how Saudi governmental organizations are implementing a new open government initiative and digitally transforming with time. In this context, we explore how key actors act up-on objective and subjective temporalities during the Saudi country-wide transformation of the digital economy- the Saudi Arabia Vision 2030 open government initiative. Keywords: Temporalities, Digital Transformation, Subjective time, change.
Hand Detection in Egocentric Video and Investigation Towards Fine-Grained Cooking Activities Recognition

The analysis of egocentric videos is currently a hot topic in computer vision. In this paper, we focus on cooking activities recognition in egocentric videos. To recognize cooking activities automatically and precisely, we must solve the problems of detecting hand region in egocentric videos, representing hand motion, and classifying the cooking activities. In this research, to solve these problems, we propose a new cooking activities recognition method in egocentric videos. The characteristic points are 1) hand regions are accurately detected in a cluttered background by using color, texture, and location information, 2) temporal hand features are extracted from sequential frame images with a thinning algorithm, 3) a fully-connected multi-layer neural network is utilized to recognize the activities from the extracted features. Toward our goal of fine-grained cooking activities recognition, we in-vestigated the performance of our method with our benchmark, including 12 fine-grained cooking activities in five coarse categories. The experimental results show that our method allows us to recognize cooking activities with an accuracy of 45.2%.
Guides: Introduction to Open Access: Piracy and Controversy

This guide is meant to introduce library patrons to Open Access (OA) tools, resources, the movement and its history and controversies. The history, the notable figures, the controversies, and the ongoing considerations.
Corpus-based Text Linguistics

Starting from the lesson Petőfi delivered in 2004 upon being awarded Laurea honoris causa from Turin University and from the Round Table that followed, our paper aims to trace the intertwined history of the relationship between corpus linguistics and text linguistics. Currently, that relationship is good and still improving, but that was not always the case: the role played by generative linguistics in opposing corpus linguistics is discussed in detail. The position of Petőfi, who was basically sceptical of the use of corpus linguistics, is traced back to this conflict. Finally we suggest that Petőfi’s textology - as he described it - might be seen as an extension of text linguistics encompassing multimodal aspects.
PEMBELAJARAN MENGONVERSI TEKS PANTUN MENJADI TEKS DIALOG DENGAN METODE GROUP INVESTIGATION (GI)

This research is motivated by the difficulty of students learning to convert pantun texts into dialog texts. The purpose of this study are: (1) to know the activities of teachers and students when learning. (2) knowing student responses when learning. (3) knowing the difference in learning outcomes converting pantun text into dialogue text between the experimental class and the control class. The compiler wants to know the effectiveness of the Group Investigation (GI) method in learning to convert pantun text into dialog text. The study was conducted at Mahardhika Vocational School West Bandung 2016/2017 academic year. The research method used in this study is the experimental method. The experimental design used in this study was Quasi Experimental Design (Quasi Experimental Design). This study used the control class and the experimental class. The sample used in this study were students of class XI TKR1 and TKR class XI 2 students, each class amounted to 26 people. Based on the results of the analysis it can be concluded (1) teacher activities can be carried out as much as 90% and 91.7% students, (2) The response of students in learning to convert pantun texts into dialog texts with the 92.2% Group Investigation (GI) method, 3) Results the posttest value of the experimental class with the control class is different. The number of values obtained by the experimental class is 2,081 with an average value of 80.04, while the number of values obtained in the control class is 1,349 with an average value of 51.88.
Enhancing education through mobile augmented reality

In this article, the author has mentioned about the Mobile Augmented Reality and enhancing education through it. The aim of the current study was to administer some general data concerning mobile augmented reality that helps to boost education. Purpose of the present study reveals the mobile networks that are used in the establishment field as well as university. Also, this study discusses the way to develop education and exchange data through mobile network. This text refer, however one will improve the educational through mobile functions. Mobile augmented Reality makes it attainable to form new reasonably services and applications. By creating augmented reality add mobile environments, individuals face new challenges in positioning, registration, system performance and energy consumption. The evolution of cellular networks and connected technologies has recently been very fast. The transfer rates and low latencies for packet information needed by several augmented Reality applications are feasible using the coming generation cellular networks. The transmitting of data through mobile network takes a significant role in education. The categories that broadcast were listened through the mobile network by learner. So mobile augmented reality is captivating its role to boost Education.Mobile augmented reality, education, learning in augmented reality
PROSES PEMBELAJARAN QUANTUM TEACHING DALAM BAHASA INGGRIS PADA KELAS CO-EDUCATION BERBASIS ADIL GENDER

Quantum as an interaction that converts energy into light. Quantum Teaching meaningful interactions that convert light into energy because all energy is life and diversity in the Teaching process and interdeterminisme contain. The purpose of the Quantum Teaching is to create an effective Teaching environment, creating a fun Teaching process, the brain's ability to adjust to what is needed by the brain, to help improve the life and career success and to help accelerate the Teaching. Errors in understanding the meaning of gender is one factor that led to opposition or difficult to accept gender analysis in solving problems of social injustice. In order to align with the substance of the discussion of the context of Teaching English, Quantum Teaching emphasizes the need of planningn of Teaching conditions (matched) with topic.
From Theory to Practice: Building Leadership Opportunities through Virtual Reality Science Expeditions.

The authors of this paper discuss the use of Virtual Reality (VR) as a tool for building meaningful connections in science education across different grade levels.  The authors elaborate on their experiences with using VR in teacher training programs, in practicum and student teaching experiences, and in providing a professional development workshop on how to use VR in science classrooms.  With adequate preparation and training, teacher candidates can become leaders in their schools with regard for building more interactive STEAM-based programs that utilize cutting-edge technologies like VR and AR (Augmented Reality).  Furthermore, the benefits of using VR in the classroom are discussed.  These include whole-child benefits such as opportunities for meaningful social interaction, student-led inquiry, intrinsically motivated exploration and investigation, meaningful integration with other subjects, and substantial student engagement.  VR expeditions provide a high level of cognitive, social, and physical activity that can supplement any form of instruction, and help students make lasting connections to the material.
Validation of English Learning Motivation Inventory: Focused on Failure Tolerance

The purpose of this paper is to validate an English-specific learning motivation scale that reflects domain specificity. Bae and Kim (2019) confirmed the importance of personality factors in the English learning motivation for Korean adult learners in terms of conscientiousness and sensitiveness through CAPS model. Considering another important personality aspect of anxiety, avoidance, and perfectionism in light of academic failure tolerance, this paper validated the Academic Failure Tolerance Scale for English Learning Motivation as an adapted version of the Standardized Student Motivation Scale by Kim (2002). One item about abandoning action in the Behavior area was transferred to the Affect area. This change is presumed to be related with the domain-specific presence of anxiety and avoidance in the settings of Korean EFL learning.
ЗАСТОСУВАННЯ МЕТОДІВ DATA MINING В ТЕЛЕКОМУНІКАЦІЙНИХ СИСТЕМАХ

Application of Data Mining Methods in Telecommunication Systems Currently, there is an intensive development of telecommunication systems, accompanied by tough competition for the client. Data analysis aimed at identifying hidden patterns is implemented using the methods of modern information technology Data Mining.
Overcoming data shortages in robotic applications

The abundance of data has played a major role in the recent machine learning boom. The availability of large datasets however, while useful, hasn't directly translated to successful applications in robotics. This thesis attempts to present ways to overcome the lack of data in robotics applications through domain adaptation methods. We propose and study the performance in data-poor scenarios of algorithms designed for two Robotics applications: visual tracking and learning from demonstrations. We first present a robust multi-robot convoying approach that relies on visual detection of the leading agent. Our method is based on the idea of tracking-by-detection, which interleaves efficient object detection with temporal filtering of image-based bounding box estimation. Using a bounding box annotated dataset of images extracted from footage of an underwater robot in ocean settings, we compare multiple tracker variants, including several convolutional neural networks with and without recurrent connections and frequency-based model-free trackers. We investigate the domain adaptation ability of our most applicable architecture through training on synthetic data, generated from a realistic game engine. To demonstrate the practicality of this tracking- by-detection strategy in real-world scenarios, we successfully control a 5-DOF legged underwater robot to follow another robot's independent motion. We then focus on the impact of data shortages when learning from demonstration. Extending the options framework with the notion of reward options, we develop a method for learning joint reward-policy options in the context of generative adversarial inverse RL and show that methods in this context suffer in demonstration data-poor scenarios. We then study the one shot domain adaptation abilities of our approach. That is, given expert demonstrations from a mixture of environments with different dynamics, can the agent learn to properly complete a task in a previously unseen environment with different dynamics. Our results show that our method is able to successfully learn a task in these domain adaptation scenarios, and significantly outperforms inverse RL without options.%%%%L'abondance de donnees a joue un role majeur dans le recent boom de l'apprentissage automatique. Mais, la disponibilite de ces larges ensembles de donnees, bien qu'utile, ne s'est pas directement traduite a des applications reussies en robotique. Cette these presente des moyens de pallier le manque de donnees dans les applications robotiques grace a des methodes d'adaptation de domaine. Nous proposons et etudions la performance d'algorithmes concus pour deux applications en robotiques dans des situations de manque de donnees: le suivi visuel et l'apprentissage a partir de demonstrations. Nous presentons d'abord une approche robuste de convoi a robots multiples qui repose sur la detection visuelle de l'agent principal. Notre methode est basee sur l'idee de suivi par detection, qui couple la detection d'objet avec le filtrage temporel de…
U.S. scientific collaboration on research and policy: the necessity of global engagement

Most contemporary science and technology (S & T) policy issues involve complex science that spans diverse disciplines and expertise, as well as physical and political boundaries that span multiple countries. These characteristics of S & T policy issues underscore the importance of cross-country collaboration to solve these increasingly complex policy problems. International collaborations allow scholars in different nations to share resources, such as datasets and expensive research equipment. This type of collaboration can allow scientific research to move forward much more quickly than it otherwise would. Simultaneously, this potential rapid movement of scientific research within the context of a technology needs to be matched by attention to the ethical and policy limitations when the risks of the technology might be high or uncertain. Therefore, for the case of emerging technologies, it is imperative that scientific scholars collaborate on the science while policy makers work across countries to collaborate on policy development.
Mixed Education as a Factor of Formation of Self-employment for Future Teachers of Informatics

The concept of mixed learning and some aspects of its implementation in institutions of higher education are considered in the article, in particular in the training of students for the specialty 014 Secondary education (Informatics). A distant form of education provides an opportunity for anyone to get education. The choice of time, pace, place of study, the availability of materials at any time, an individual approach, counseling at a convenient time, the opportunity to work and study at the same time — all these are benefits of distance education. However, there is a certain list of specialties, for which it is inappropriate to introduce distance learning in full. Such specialties involve working with people and responsibility for every specialist's work. This is also applied for teachers. On the other hand, distance learning develops self-education skills. A computer science teacher who is forced to acquire new knowledge about program versions, programming languages and devices at a certain time must be able to quickly, responsibly and effectively improve his or her professional level. Therefore, we consider it important to help acquire self-education skills for undergraduate students. According to age-specific features, criticality, abstraction, and algorithmic thinking are already formed. They are ready for independent work, responsibility for its results, and the formation of their own motivation. Formation of self-education skills should not be separated from professional activity. Accordingly, examples of tasks for laboratory work on discipline "Laboratory Workshop on a specialty" are offered. The work is carried out 4 hours, two of which graduates carry out tasks remotely. In this case, there is a possibility of consulting with the lecturer on-line or with the help of messengers. And one lesson is held in auditorium, where the defence of work in front of the group and discussion of the results take place. In this way, the disadvantages of remote execution of work are minimized and the possibility of an objective assessment of the work of the master student is provided.
Making decisions over contextual ontologies

Various probabilistic description logics (DLs) have been proposed for dealing with the uncertainty endemic to many domain knowledge representation scenarios. A particular class of such formalisms focuses on representing knowledge that is certain, but holds only in some uncertain contexts. In this paper, we consider an extension of those formalisms that allows an agent to influence the choice of the context and minimise its subjective cost. This is achieved through a combination of the light-weight DL EL and influence diagrams, a graphical model for representing decision situations, and their potential costs, under uncertainty.
Library Acquisitions Patterns: Review

Key points The Library Acquisitions Patterns (LAP) project examines acquisitions patterns across 124 US higher education institutions in FY2017 and a subset of 51 institutions over fiscal years 2014–2017. The report began as a study of Amazon's impact as an academic library vendor, but expanded into a broader study of the purchasing of individual print and e‐book titles within a specific price range across all vendors. The project uses data provided by academic libraries that use Ex Libris ' ALMA integrated library system and OCLC's Worldshare Management Services (WMS); these systems do not allow users to create customized fields of data and so, theoretically, would provide more compatible data. The report's strength is in defining high‐level acquisition patterns across academic libraries, vendors, and broad disciplinary fields; the analysis and findings are not granular. The authors believe their report provides one of the broadest overviews of acquisitions patterns of US academic libraries than has ever been conducted to date; there is no reason to doubt them. LAP demonstrates a methodology for study acquisitions and points to numerous other avenues of potential research.
Out-Side-Text Knowledge: A Critical Discussion of Its Importance in the Analysis and Comprehension of Political Discourse

The relation between knowledge and discourse is a problematic one. While speaking, we may activate one part of our knowledge and leave anther one silent to serve the coherence of what we seek to convey. Having this in mind, this paper seeks to discuss the importance of out-side-text knowledge in the analysis and comprehension of political discourse. To study this issue, concern is devoted to two axes of discussion. First, focus is given to the analysis and discussion of some key concepts to form a workable frame for the study. It also seeks to high-light the boundaries between interpretation and over-interpretation. Second, focus shifts to the analysis of some examples to put into practice the tools of the established approach. Also, the extent to which the knowledge we activated served to produce worthwhile interpretations is questioned. The selected examples are taken from presidential speeches delivered by Bush, Obama, and Trump. The method we used consists of two phases: one simple and the other complex. In phase one, the meaning the speaker sought to convey is decoded based on the types of knowledge he activated. In phase two, we activated the knowledge we have about the context of each speech to communicate the un-said. While doing this, we used the logic of critique to avoid over-interpreting the examples. The results showed that our activation of the required knowledge served to demystify what the speakers hide and to work out deception by highlighting the gap between discursive reality and social reality. It is also proved that the issue of boundaries between interpretation and over-interpretation remains a matter of critique. Though bringing valuable contributions to the critical study of language in use, the paper left the doors open for further research on how to use out-side-text knowledge to communicate the un-said.
PENGEMBANGAN MEDIA BIG BOOK BERBASIS DONGENG SUMATERA SELATAN PADA ANAK KELOMPOK B DI PAUD PEMBINA NIBUNG

This development research aims to create a big book based media fairy tale South Sumatra in children group B in PAUD Pembina Nibung. This development uses a combination of Rowntree's development model and Tessmer's evaluation. The Rowntree development model consists of three stages, namely the planning stage, the development stage and the evaluation phase. During the evaluation phase, formative evaluation was proposed by Tessmer consisting of 5 stages, namely selt evaluation, expert review, one-to-one evaluation, small group evaluation and field test. Data collection techniques using walkthrough and observation. The result of data analysis shows that in the evaluation of expert review stage, the average percentage of the assessment results from experts on big book 1, big book 2 and big book 3 is 3, 96 (very valid category). Phase one to one evaluation obtained the average results of observations of children from big book 1, big book 2 and big book 3 for 94.7 (Good One category). The small group evaluation stage shows the average observation on big book 1, big book 2 and big book 3 of 97.3 (very good category). In the field test stage got the observation value with big book 1, big book 2 and big book 3 of 96 (excellent category). From all stages that have been done then it can be concluded that the big book based media fairy tales of South Sumatra declared valid, practical, and effective develop potential effects for children.
가상현실(VR)의 의료분야 적용 동향

In recent years, medical and health care fields have attracted attention for virtual reality (VR) applications. VR technology is emerging as a healthcare specialist and psychotherapy alternative to cope with the increase in the demand for the treatment of conditions such as psychological diseases ca...
Exploiting Data-Driven Hybrid Approaches to Translation in the EXPERT Project

Technologies have transformed the way we work, and this is also applicable to the translation industry. In the past thirty to thirty-five years, professional translators have experienced an increased technification of their work. Barely thirty years ago, a professional translator would not have received a translation assignment attached to an e-mail or via an FTP and yet, for the younger generation of professional translators, receiving an assignment by electronic means is the only reality they know. In addition, as pointed out in several works such as Folaron (2010) and Kenny (2011), professional translators now have a myriad of tools available to use in the translation process.
Augmented Reality Technology (AR) as Alternative Media for Promotional Product

The high demand of apartment for people living in the cities makes the property agencies to compete each other in selling their units with various amenities.However, media promotion is needed by the agencies to spread the detailed information regarding the apartments.3D Technology is one of the options that can be used.The establishment of promotion application with 3D can be considered to be effective and efficient, because it can support much more detailed information toward people with its presentation.So potential buyers are interested in the products offered.With the current technological development, the merging of the visualization of 2D image objects can produce a 3D virtual object form one of them by using Augmented Reality technology.With the help of the open-source mobile devices that is Android.That way can facilitate the user to know the form of the apartment and the facilities that have been provided.