Reviewerly/exHarmony huggingface dataset:
Penerapan Pendekatan Concrete Representational Abstract Untuk Meningkatkan Hasil Belajar Kognitif Siswa

This research motivated by low student learning outcomes. To resolve the issue, given learning using the CRA approach. This research aims to find out student learning outcomes before using the CRA approach in mathematics subjects in Class IV MI Nurul Huda, also to find out student learning outcomes after using the CRA approach in mathematics subjects in Class IV MI Nurul Huda District Paseh, Bandung Regency. The method used is classroom action research methods. This research was carried out in 2 cycles and four actions. Data collection techniques using observation, testing, interview and documentation. Data analysis uses statistics and observation sheets. Subjects consisted of 24 students, 14 women and 10 men. The results of data analysis concluded that (1) student learning outcomes before using the CRA approach were still low with an average value of 57. (2) The application of the CRA approach works well according to the stages. Teacher and student activities have increased in each cycle. (3) student learning outcomes after using the Talking Chips model have increased each cycle. The percentage of classical learning completeness in pre cycle 33% (less), cycle I was 58% (less), in cycle II was 92% (Very High).
Self-transformation of personality in the creative process

The phenomenon of human self-transformation in the process of generating entirely new meanings (e.g. the meanings that are not represented in the original concepts, even as an embryo) is considered. There is a methodological paradox: if some knowledge is absent in the previous level of representation, then how is it possible to produce something out of nothing? On the other hand, If if that knowledge is already present in some or other form at the previous stage, then it cannot be considered as entirely new one: it is rather the development of the something that already exists than the new entity that has never existed. It is shown that this paradox can be solved by means of the analysis of the nature of the sense and meanings in the context of the wholesome Human existence integrity. Such an analysis demonstrates that it is the researcher’s personality self-transforming, his/her shift away from the position of an outside observer in relation to the existing problem and in the transition to identification with it that plays a key role in the process of new meanings generating. The fundamental difficulties are revealed that are inherent to any attempt to represent non-dual holistic phenomena of insight thinking by such means of fundamental dual analysis tools as categorical thinking and natural language. Due to their focus on the sustainable, reproducible, universal in human practice, they are not very effective as a tool for creating or describing the unique. The investigation has been implemented in the framework of the state project «Epistemology of creativity: cognitive and socio-cultural dimensions».
A Synthesis Survey of Ontology Evaluation Tools, Applications and Methods to Propose a Novel Branch in Evaluating the Structure of Ontologies: Graph-Independent Approach

Diverse tools, application and methods can logically be organized in clear categories (i.e., Gold standard, Application, Data-driven and Human assessment) or their dimensions (i.e., Functionality (task-based), Usability based and Structural evaluation). This paper attempts to propose a novel branch in structural analysis of ontology through analyzing current methods. Structural dimensions can be involved in evaluating ontologies when the research attempts to analyze the graph representation based on Conceptual Graph (CG). Two types of nodes (i.e., concepts and conceptual relations) can be merely linked with one another via logical conjunction. When logical conjunction between concepts and conceptual relations were removed, the remaining components would be independent domains which would no longer bear the meaning of graph.  The separate concepts and conceptual relations cannot be involved in the notion of the graph-dependent approach. Thus, there is the lack of a novel branch in structural analysis which is called Graph-independent approach.
Introduction to Mukurtu CMS: Connecting and Sharing Cultural Collections and Language Materials

Participants will receive hands-on training with the Mukurtu dictionary and other language specific features to incorporate language materials into digital heritage items and collections within Mukurtu. There will be examples of Mukurtu in use in communities, emphasizing the use of cultural protocols and language resources. Participants are encouraged to bring a laptop and digital media to use during the workshop
Immersive Virtual Reality Beyond Available Physical Space

Technology provides Virtual Reality (VR) with increasing levels of realism: high-performance head-mounted displays enable delivering immersive experiences that provide users with higher levels of engagement. Moreover, VR platforms, treadmills, and motion tracking systems add a physical dimension to interaction that aims at increasing realism by enabling users to use their body to control characters’ movements in a virtual scenario. However, current systems suffer from one main limitation: the physical simulation space is confined, whereas VR supports rendering infinitely large scenarios. In this paper, we investigate the human factors involved in the design of physically-immersive VR environments, with specific regard to the perception of virtual and physical space in locomotion tasks. Finally, we discuss strategies for designing experiences that enable optimizing the use of the available physical space and support larger virtual scenarios without impacting realism.
Design and Construction of Security Monitoring System for Optical Fibre Communications

Abstract Despite the fact that security monitoring system is high in communications using optical fibre, communications are still easy to be penetrated and information could be stolen. Companies have developed tools and equipment bugging and stealing data sent over optical fibre network, especially in those areas experiencing high loss of optical signal. Thus, it has become necessary to design and construct monitoring and warning system to avoid penetration or access to optical cable network. It is more convenient to install field application and control security system for optical cable communications that are parallel with the oil transportation pipeline. The project aims to sending a signal light with low-power ability and sensitivity by using Wavelengths Division Multiplexer (WDM), Dense Wavelengths Division Multiplexer (DWDM), and Optical Time Domain Reflect Meter (OTDR) as measurement and Optical Spectrum Analyser as a detector (OSA). The system is then used in monitoring oil and gas pipeline leakage or muggers and monitoring damage in the body of dams by adding fibre optics sensors. The sensors are to be distributed on the surface and connected with each other in the form of retinal rings to reach the receiving devices. It could also monitor ranges reaching to up about a hundred kilometres.
Provision of the Continuity of Junior Pupils' Educational Activity by Means of Physical Culture

Educational continuity is one of the significant efficiency indicators in the activity of an educational organization. The most attention should be paid to the continuity of the first and the second education levels, provision of which creates the conditions for children's adaptation to the learning environment in the long run. Scientists consider both educational and upbringing continuity. The transition stage between junior and middle school is usually described only from the point of view of learning success and the problem of upbringing continuity between junior and middle school, its criteria and mechanisms are not studied enough.  The paper is devoted to this problem. The purpose of the article is to disclose the mechanisms of educational continuity provision between junior and middle school basing on the application of means of sport and physical culture. The main methods of the research are pedagocical observation, questionnaire survey, testing pupils of the fourth form, their parents and teachers, and also expert assessment of the pupils’ psychological types. The result of the research is distinguishing the mechanisms and conditions for educational continuity provision for the fourth-form pupils and their adaptation to studying in middle school basing on their project psychological types. Repetition of psychological types among pupils of the fourth form in Nizhny Novgorod region and physical culture teachers’ and the school psychologist's actions aimed at prevention of emotional burn-out of future fifth-form pupils while the transition to the new educational stage are detected.
Cardiff University at SemEval-2019 Task 4: Linguistic Features for Hyperpartisan News Detection

This paper summarizes our contribution to the Hyperpartisan News Detection task in Se-mEval 2019.We experiment with two different approaches: 1) an SVM classifier based on word vector averages and hand-crafted linguistic features, and 2) a BiLSTM-based neural text classifier trained on a filtered training set.Surprisingly, despite their different nature, both approaches achieve an accuracy of 0.74.The main focus of this paper is to further analyze the remarkable fact that a simple featurebased approach can perform on par with modern neural classifiers.We also highlight the effectiveness of our filtering strategy for training the neural network on a large but noisy training set.
An Efficient Character Segmentation Algorithm for Connected Handwritten Documents

This paper proposes an efficient method of character segmentation for handwritten text. The main challenge in character segmentation of hand-written text is the varied size of each letter in different documents, connected alphabets in a word in cursive writing and the presence of ligatures within an open character. Hence, this paper proposes an adaptive vertical pixel count algorithm to solve the problem of over-segmentation due to the presence of open characters such as ‘w’, ‘v’ and ‘m’. Proposed algorithm works effectively against both the handwritten and standard text. The proposed method is evaluated on IAM and self-created data set.
Secure and Efficient Storage of Video Data in a CCTV Environment

Closed-circuit television (CCTV) technology continuously captures and stores video streams.Users are typically required by policy to store all the captured video for a certain period.Accordingly, increasing the number of CCTV operation cycles and photographing positions expands the amount of data to be stored.However, expanding the available storage space for video data incurs increased costs.In recent years, this problem has been addressed with cloud storage solutions, which enable multiple users and devices to access and store data simultaneously.However, because of the large amount of data to be stored, a vast storage space is required.Consequently, cloud storage administrators need a way to store data more efficiently.To save storage space, deduplication technology has been proposed to prevent duplicate storage of the same data.However, because cloud storage is hosted on remote servers, data encryption technology must be applied to address data exposure issues.Although deduplication techniques for encrypted data have been studied, there have been various security vulnerabilities.We attempted to solve this problem by addressing various issues such as poison attacks, property forgery, and ownership management while removing the redundant data and handling the data more securely.
Virtual Currencies in the Eurosystem: Challenges Ahead

Speculation on Bitcoin, the evolution of money in the digital age, and the underlying blockchain technology are attracting growing interest. In the context of the Eurosystem, this briefing paper analyses the legal nature of privately issued virtual currencies (VCs), the implications of VCs for central bank’s monetary policy and monopoly of note issue, and the risks for the financial system at large. The paper also considers some of the proposals concerning central bank issued virtual currencies. This document was provided by Policy Department A at the request of the Committee on Economic and Monetary Affairs.
TQM Potential Moderating Role to the Relationship between HRM Practices, KM Strategies and Organizational Performance: The Case of Jordanian Banks

With the ever-increasing attrition rate of organizational performance in national banks, the Jordanian banks continue to face a number of economic difficulties and imbalances in the economic structure, their results witnessed a decline in many case. This study aims to investigate the effects of Total Quality Management (TQM) on the relationship between Human Resource Management (HRM) practices and Knowledge Management (KM) strategies towards organizational performance of Jordanian banks. Result of Partial Least Squares (PLS) path analysis supports all variables in the hypothesized direct relationship with organizational performance. Relationship between HRM practices (training and development, performance appraisal and compensation) and KM strategies (knowledge acquisition, knowledge conversion, knowledge protection, knowledge application and knowledge sharing) towards organizational performance proved to be significant. Results of the analysis also suggest that TQM moderates the relationship between HRM practices and KM strategies and organizational performance; while the moderation effects of TQM on compensation, knowledge acquisition and organizational performance are not been supported. Findings of this study lend empirical, support to the view that joins value creation chains between variables, can confer competitive advantage. Thus, Jordanian national banks particularly should focus on creating a synergic combination between TQM, HRM practices and KM strategies implementation to enhance their manager’s practices towards creating sustainable effectiveness of organizational performance.
Infusing functionality of social media as a transformative higher education teaching and learning process into social learning system

In Web 2.0 era, social media are increasingly receiving attention in many sectors, including higher education institutions. It provides extensive learning support in line with social learning concept. A large volume of content is generated and diffused by online users. In social learning environment, there is an urgent requirement to infuse functionality of social media into teaching and learning activity in the higher education institutions. The objective of this study is to identify the adoption of the functionality of social networks in higher education to increase learning performance. The methodology used in this study is conjoint analysis to map social media features into social media functionality based on student preferences. The result obtained in this study is the mapping of the functionality of social media for higher education to build social learning systems, so it can build intimacy and immediacy to increase learning process.
Development of Undergraduate Interdisciplinary Cybersecurity Program: A Literature Survey

health informatics, online social networks, social network analytics and e-commerce
MultiDIAS: A Hierarchical Multi-layered Document Image Annotation System

Content of the document images are often shows hierarchical multi-layered tree structure. Further, the algorithms for document image applications like line detection, paragraph detection, word recognition, layout analysis etc. require pixel level annotation. In this paper, a Multi-layered Document Image Annotation System (MultiDIAS) has been introduced. The proposed system simultaneously provide a platform for hierarchical and pixel level annotation of document. MultiDIAS label the document image in four hierarchical layers (layout type, entity type, line type, word type) assigned by the user. The output generated are four ground-truth images and an XML file representing the metadata information. The MultiDIAS is tested on a complex handwritten manuscript written by renowned film director Satyajit Ray for the movie ‘Goopi Gyne Bagha Byne’. This annotated data generated using MultiDIAS can further be used in a wide range of applications of document image understanding and analysis.
Q4 Vital Signs

While I sleep I have no fear, nor hope, nor trouble, nor glory. God bless the inventor of sleep, the cloak that covers all man’s thoughts, the food that cures all hunger, the water that quenches all thirst, the fire that warms the cold, the cold that cools the heart; the common coin, in short,
On Ecological Philosophy in Walden

The paper discusses the relationship between man and nature from the perspectives of ecological philosophy, anti-anthropocentrism and the inner spiritual ecological connotation of man.It points out that nature can endow people with the elements of inner beauty, and her unspeakable purity and kindness always endow people with health and joy; human beings, like other animals and plants, are part of the biosphere of nature; human happiness, freedom and civilization do not necessarily depend on the abundance of material life, but, to some extent, on the harmonious coexistence with nature.
Ontology-Based Approach for Human Competency Gap Analysis in Air Traffic Management

Abstract The Global Air Navigation Plan (GANP) is a flexible global engineering approach that allows all States to advance their Air Navigation capacities based on their specific operational requirements. Aviation professionals have an essential role in the transition to, and successful implementation of the GANP. The development of new air traffic control technology requires new competencies from operational and maintenance personnel under the circumstances. And this, in turn, requires new education curricula for initial, vocational and advanced training in this area. The paper is focused on the creation of methodology for the partial automation of the comparison of existing and required competences of Air Traffic Management (ATM) personal and synthesis of training courses and modules, using a formal, ontology-based approach as a tool to solve these problems. One of the problems in the implementation of the GANP is that, on the one hand, there are currently no unified requirements for all categories of ATM personnel, and on the other hand, the development of ATM technologies is far ahead of the pace of training of personnel of appropriate qualifications. This problem becomes even more noticeable in countries that have just started an active modernization of ATC systems and do not have enough experience in this field. The paper describes the general methodological approach based on the education ontology modelling for human competency gap analysis in ATM and for gap analysis between the university curricula outcomes and the ATM requirements. The ontology of key personnel competencies issues for the design and integration of large-scale future ATM programmes is proposed.
State Capture in Ben Ali’s Tunisia

This chapter assesses state capture by former Tunisian president Ben Ali’s family. It documents evidence consistent with abuse of investment regulation and privatization as well as tax evasion by politically connected firms. Market share and profit premia on being Ben Ali owned are especially large and significant among firms at the top end of the market share and profits distributions in sectors subject to authorization and foreign direct investment (FDI) restrictions, where the potential for regulatory abuse is greatest. Firms privatized into the Ben Ali family were among the largest privatized firms, and exhibited supranormal profits growth post privatization. In addition, Ben Ali-owned firms were more likely to evade tariffs and other taxes.
Blended Learning Practices for Improving the Affective Domain of K-12 Learners of Madurai District, TN

Learners of countryside background, face different types of problems and challenges when they do their higher education in urban areas. Their culture, custom, and the way they had been taught in their schools are entirely different. These differences are the major concern for some students and they usually perform low in their higher education. It results in de-motivation of individual and impacts their overall performance. Only very few students cope-up with the new environment (College) and adapt to it. This paper details the study that has been carried out to examine whether the ICT-based pedagogical practices motivate the learners and inculcate learning thirst among them for their life-long learning.
Short Text Topic Recognition and Optimization Method for University Online Community

The university online community mainly records what happens in target areas and groups of people. It has the characteristics of timeliness, regional strong and clear target groups. Compared with Weibo and post-bar, university community’s text topic recognition needs to solve the problems of large text noise, fast text update and short single text content. To this end, this paper proposes a method of building university topic model based on LDA topic model. Through the steps of original text’s noise reduction, LDA (Latent Dirichlet Allocation (LDA), is a topic model commonly used in the field of machine learning and is often used for text categorization.) model recognition and weighted calculation of recognition results, etc., the event themes that characterize the common characteristics for university online community are obtained. Experiments based on real university online community’s data show that the topic model of university popular events established by the topic recognition model of this paper can reflect some popular events in colleges and universities, so as to provide reasonable support for university management.