Reviewerly/exHarmony huggingface dataset:
The influence of Total Quality Management on Non-academic Performance: Public Sector Institutions of Jordan

Previous studies verified that total quality management (TQM) improve performance. The aim of this study is to empirically verify the TQM approaches with non-academic performance. This is a quantitative study; a questionnaire has distributed by convenience sampling in the higher education institutions in the Jordan. After data cleaning, total of 276 responses were retained for final analysis. Factor analysis and multiple regressions have assessed through SPSS. The finding of this study reveals that two approaches of TQM customer focus and continuous improvement have positive and significant effects on non-academic performance while strategic planning positively affects the non-academic performance but not significantly. Meanwhile, leadership commitment has a negative effect on performance. This study will guide the managers in enhancing performance. Secondly, this study provides background to researches to know the value of TQM. Future study can be conducted on the reasons the negative relationship between leadership commitment and non-academic performance.
Employing augmented reality for reviving heritage sites: an AR vision for Qasr al-Abd in Jordan

Professionals in the heritage sector are currently focusing on using new, innovative methods to attract and engage visitors in heritage sites. One of their main strategies in achieving this goal is employing the latest technological applications that allow the visitor’s interaction with the cultural heritage site and content. Augmented reality is one of these latest technological trends utilized in heritage sites to enhance the visitors’ experience. This paper shed light on the role of augmented reality in bringing ruined cultural heritage sites and its history back to life. It specifically, proposes applying augmented reality on Qasr al-Abd or the Palace of the Slave in Jordan to revive its significance. It emphasizes the reasons and advantages of applying AR on Qasr al-Abd and provides a vision for how some AR systems can be utilized for demonstrating its original look and revealing its cultural and archeological uniqueness and beauty.
The Complexity of Partial Function Extension for Coverage Functions

Coverage functions are an important subclass of submodular functions, finding applications in machine learning, game theory, social networks, and facility location. We study the complexity of partial function extension to coverage functions. That is, given a partial function consisting of a family of subsets of [m] and a value at each point, does there exist a coverage function defined on all subsets of [m] that extends this partial function? Partial function extension is previously studied for other function classes, including boolean functions and convex functions, and is useful in many fields, such as obtaining bounds on learning these function classes.We show that determining extendibility of a partial function to a coverage function is NP-complete, establishing in the process that there is a polynomial-sized certificate of extendibility. The hardness also gives us a lower bound for learning coverage functions. We then study two natural notions of approximate extension, to account for errors in the data set. The two notions correspond roughly to multiplicative point-wise approximation and additive L_1 approximation. We show upper and lower bounds for both notions of approximation. In the second case we obtain nearly tight bounds.
Modeling Concept Drift in the Context of Discrete Bayesian Networks

Concept drift is a significant challenge that greatly influences the accuracy and reliability of machine learning models. There is, therefore, a need to detect concept drift in order to ensure the validity of learned models. In this research, we study the issue of concept drift in the context of discrete Bayesian networks. We propose a probabilistic graphical model framework to explicitly detect the presence of concept drift using latent variables. We employ latent variables to model real concept drift and uncertainty drift over time. For modeling real concept drift, we propose to monitor the mean of the distribution of the latent variable over time. For modeling uncertainty drift, we suggest to monitor the change in beliefs of the latent variable over time, i.e., we monitor the maximum value that the probability density function of the distribution takes over time. We implement our proposed framework and present our empirical results using two of the most commonly used Bayesian networks in Bayesian experiments, namely the Burglary-Earthquake Network and the Chest Clinic network.
Looks like we got our first #hacktoberfest ...

Looks like we got our first #hacktoberfest contribution for the @withknown open collective as @jbove adds an h-feed to multiple views: https://github.com/idno/known/issues/2340#issuecomment-537230730. Want to contribute
Review-Based Cross-Domain Collaborative Filtering: A Neural Framework.

Cross-domain collaborative filtering recommenders exploit data from other domains (e.g., movie ratings) to predict users’ interests in a different target domain (e.g., suggest music). Most current cross-domain recommenders focus on modeling user ratings but pay limited attention to user reviews. Additionally, due to the complexity of these recommender systems, they cannot provide any information to users to support user decisions. To address these challenges, we propose Deep Hybrid Cross Domain (DHCD) model, a cross-domain neural framework, that can simultaneously predict user ratings, and provide useful information to strengthen the suggestions and support user decision across multiple domains. Specifically, DHCD enhances the predicted ratings by jointly modeling two crucial facets of users’ product assessment: ratings and reviews. To support decisions, it models and provides natural review-like sentences across domains according to user interests and item features. This model is robust in integrating user rating and review information from more than two domains. Our extensive experiments show that DHCD can significantly outperform advanced baselines in rating predictions and review generation tasks. For rating prediction tasks, it outperforms cross-domain and single-domain collaborative filtering as well as hybrid recommender systems. Furthermore, our review generation experiments suggest an improved perplexity score and transfer of review information in DHCD.
EOS Cryptocurrency Initial Coin Offering: A case study : How the EOS cryptocurrency raised more than $4.4 billion in its 2017 ICO

Over the past year, alongside the sharp increase in the price of Bitcoin, a new investment trend has emerged, known as Initial Coin Offering (ICO). ICOs enable newly-formed blockchain companies to ...
2015 개정 초등영어 교과서 문화 분석-3‧4학년 교과서를 중심으로-

Cultural awareness is one of the basic elements for consideration for the teaching of foreign languages in elementary schools. The National English Revision to the 2015 Elementary English Textbook acknowledges the importance of including English cultural instruction in English language classrooms to facilitate learning between the learners’ cultures and those of the target language. This paper investigates the conformity of cultural elements implicated in the Elementary English Textbook based on 2015 revised National Curriculum. This study shows those elements that are unsuitable for the cognitive and affective levels of development associated with elementary school students. Culture teaching elements unconnected to the target lesson objectives were also found and discussed in this study. Finally, this study suggests some guidelines for choosing and developing useful cultural elements and strategies for elementary school English language teaching. (Gongju National University of Education)
KRİPTO PARALARIN DÜNYA EKONOMİSİNDEKİ MAKROEKONOMİK BOYUTU: YATIRIM-TASARRUF ARACI OLARAK GENEL BİR BAKIŞ

Interest in Bitcoin and other cryptocurrencies, along with blokchain technology is steadily increasing. With increasing interest and demand, the economic size of cryptocurrencies have begun to attract attention as a different dimension than the blockchain innovation. In this study; The economical size of Bitcoin and other cryptocurrencies in the market, trade volumes and the change in Bitcoin’s dominance relative to other cryptocurrencies are discussed. In addition, cryptocurrencies have been evaluated in terms of the black money economy, which is one of the frequently expressed concerns. The investment-saving dimension of cryptocurrencies, which is often overlooked in academic studies, has been evaluated in terms of reliability and profitability. The study was compiled using statistics published by various international organizations. As a result, it is seen that high risky cryptocurrencies has a significant economic size and trade volume. Despite all these risks and harsh fluctuations, it has been seen that cryptocurrencies have gained astronomical value especially in recent years, and therefore it is very profitable for the investor.
Info Guides: Musical Instruments Resource Guide: Percussion

Learn to play a variety of musical instruments using the Sun Life Musical Instrument Lending Library collection.
독자 고려 유형에 따른 논설문 표현 전략 비교 - 상위담화 분석을 중심으로 -

This study aimed to examine the types of reader consideration in student-written argumentative essays and to analyze how metadiscourse is used depending on the type of reader consideration. To this end, methods of processing linguistic information were used to analyze students’ writings, in addition to a survey study. Based on the overall context of this abstract, I assumed that clustering (readers’ stances divided into four groups and reader’s consideration divided into three groups) was conducted from the survey results. Next, metadiscourses were extracted from the students’ writings and classified according to the type of reader consideration. This study is significant because, through an inductive and automated method, it reveals how student writers form assumptions about their readers and make considerations for them when no readers are specified, showing that the writers’ characteristics as categorized in this study are associated with considerable differences in how metadiscourse is used during the actual writing process.
Pengembangan Media Ajar Puzzle Peta sebagai Dasar Pengetahuan Bencana pada Materi Jenis dan Karakteristik Bencana Alam Kelas XI di SMA Negeri 1 Kalasan Kabupaten Sleman

Wiwin Daryanti, 2019. DEVELOPING PUZZLE MAP INSTRUCTIONAL MEDIA AS DISASTER BASED KNOWLEDGE IN THE TYPES AND CHARACTERISTICS OF NATURAL DISASTERS SUBJECT IN THE GRADE IX IN SMA KALASAN SLEMAN. Essay. Teacher Training and Education Faculty, Muhammadiyah University Surakarta July, 2019.This research background was based on the need to improve the knowledge of natural disasters considering that in Sleman Regency is a ragion that is prone to various natural disasters such as floods, volcanic eruptions, earthquakes and landslides. This study aims to know (1) The developing of media puzzle map instructional as knowlegde based disaster material and natural disasters characteristics. (2) Effectiveness of using puzzle map learning media on material types and characteristics of natural disasters in class XI students of SMA Negeri 1 Kalasan. This type of research is Research and Develpoment (R & D) this research use 4D model that is modified by researchers become 3D (define, design, and development). Development design uses a pre-test post-test control group design with respondents 26 students in control and 26 experimental students selected using purposive sampling. The data analysis technique to test the feasibility of media is quantitative descriptive, while the effectiveness of the media uses the T-test. The results of the study show (1) based on the assessment of the feasibility of the media by material experts and media experts showing a mean value of 4.4. This shows that the media is worthy of being used and included in the GOOD category. (2) Based on the pre-test and post-test assessment, the mean value of the control class pre-test is 68.84 and the post-test score has an average value of 84.80. While the average value in the experimental class on the pre-test is 67.88 and the post-test average is 86.73. Based on the results of testing the T-test data pre-test and post-test showed a significant value of 0,000, which means <0.05. This shows that the map puzzle teaching media is effectively used in learning because it can improve students' understanding of the types and characteristics of natural disasters.
Ontology and Logic of Processes

Among the two (substantial and procedural) rival views on the outside world, preference was historically given to the substantial point of view. The success of Aristotle’s logic was due to the simple substantial ontology built by him. In that logic, the subject is characterized by an instant set of properties. The change of objects leads to the change of properties. The reduction of processes to substances causes a number of problems. The construction of procedural logic should be started with the construction of the most abstract procedural ontology. The main difference of processes from substances is their extension. Each item, as a process, can be considered as a bundle of parallel processes. The relation the individual S has the property P is the main relation in the substantial ontology. In the procedural ontology, one of the main ones is the relation process R is a sub-process of the process Q . This relation is sufficient for the interpretation of the main syllogistic constants. As a result, we get Łukasiewicz syllogistic for reasoning about parallel processes. The extension of the processes allows us to talk about their parts. The second main relation of procedural ontology is the relation process P consists of two successive processes Q and R . If the processes Q and R are successive, it is natural to make use of the relation earlier-later . In procedural ontology, time does not emerge through external postulation but exists within it. In the ontology of processes, one can naturally define the concept of causality, which becomes a logical concept. However, the success of the procedural view of the outside world is only possible if the new ways of reasoning prove to be a more effective tool for intellectual cognitive activity than the existing ones.
Multi-Document Information Consolidation (Dagstuhl Seminar 19182)

This report documents the program and the outcomes of Dagstuhl Seminar 19182 “Multi-Document Information Consolidation”. At this 5-day Dagstuhl seminar, an interdisciplinary collection of leading researchers discussed and develop research ideas to address multi-documents in machine learning and NLP systems. In particular, the seminar addressed four major topics: 1) how to represent information in multi-document repositories; 2) how to support inference over multi-document repositories; 3) how to summarize and visualize multi-document repositories for decision support; and 4) how to do information validation on multi-document repositories.General talks as well as topic-specific talks were given to stimulate the discussion between the participants, which lead to various new research ideas.
Sviluppo di una certificazione per Giovani Apprendenti di lingua: Il nuovo esame Plida Bambini

This essay describes how to create a language examination for very young learners. In the text, language examinations for children are analysed, as well as the washback effect they could have. The main principles of language testing are defined. In the last section the development of the new language examiantion of Italian for children, Plida Bambini, is explained, and its main features are described.Keywords: certificazione, testing, esami, giovani apprendenti, italiano
Creation of web pages with semantic markups for a research group

It is the age of 3.0 now. The Semantic Web is being built by converting content into machine-readable data, so it is also called web of The main approach for this goal is to describe the pages with semantic markups. The markups apply terms from certain vocabularies in a specialized format for corresponding content. They are written in the page documents. And when the search engines read these documents, the markups are detected to help to match better results to users’ searches. In this project, new responsive page templates are designed for a research group of UPM. The responsive feature means that the pages can be displayed properly in different devices with diverse screen sizes. And then these templates are marked up to produce machine-readable data. The markup method used is RDFa and the vocabulary applied is Schema.org vocabulary. The code of each template has to pass the test using a structured data testing tool developed by Google to ensure that the markups work without errors. The templates made in the project will be used for future development of more pages when the website of the research group is really implemented.
Security of Hedged Fiat-Shamir Signatures under Fault Attacks.

Deterministic generation of per-signature randomness has been a widely accepted solution to mitigate the catastrophic risk of randomness failure in Fiat–Shamir type signature schemes. However, recent studies have practically demonstrated that such de-randomized schemes, including EdDSA, are vulnerable to differential fault attacks, which enable adversaries to recover the entire secret signing key, by artificially provoking randomness reuse or corrupting computation in other ways. In order to balance concerns of both randomness failures and the threat of fault injection, some signature designs are advocating a “hedged” derivation of the per-signature randomness, by hashing the secret key, message, and a nonce. Despite the growing popularity of the hedged paradigm in practical signature schemes, to the best of our knowledge, there has been no attempt to formally analyze the fault resilience of hedged signatures.
Aplikasi Android Pencatatan Kehadiran Kuliah Secara Real Time Menggunakan QR Code dan Mobile Vision di Universitas Muhammadiyah Surakarta

The process of recording lecture attendance in general is still done manually. This is a weakness that students can use to provide a false presence. Therefore, it is necessary to develop a system for recording attendance. This led to the idea of developing an Android cellular based lecture attendance recording system. This system implements mobile vision technology using QR codes as a visual communication medium. So that attendance recording can be done by students by scanning the QR code from the teaching lecturer through the student's mobile device. For media storage and data access, this system uses the Firestore realtime database. The database is a leading realtime database developed by Google. The advantages of Firestore databases are having more complete query features and a better scale than other realtime databases. The development of this system uses a prototyping method that allows prospective users and developers to interact with each other during system development. This study resulted in an application system for recording attendance lectures addressed to UMS. Based on the results of blackbox testing shows that, the system in general can work well and in accordance with the objectives of system development. While the results of testing the system at the level of acceptance of prospective users shows the average presentation of the questionnaire results as much as 54.5% of respondents answered strongly agree with the system made, 29.7% agreed, 10.6% neutral and 5% did not agree so in general it can be concluded that the system developed was useful and can be submitted to be implemented in UMS.
TRIZ, a Systematic Approach to Create Quantum Activation Function for Deep Learning’s Hidden Layers, in Order to Make AI Explainable with Quantum Computer

Artificial Intelligence (AI)’s market is growing very fast all over the world, along with Deep Learning (DL) technologies requiring more and more data and speed to process them, in healthcare, agriculture, automotive, security, and in among several other industries. However, despite this AI rapid and increasing market expansion, there are numerous related challenges need to be tackled. In this paper, the purpose is to show through another structured approach derived from ARIZ algorithm and some principles coined by TrizStartup movement [1], some of the problems deep learning industries are trying to handle. This paper shows how TRIZ can be applied to fix one of those AI problems. In fact, due to DL neural networks (NN) hidden layers, their outputs are not reliable. If an error occurs, how could human reproduce the issue? Human are not able to identify activated neurons to analyse root causes of this malfunction. Therefore, reliability issue from hidden layers versus rapid AI market skyrocket, data and speed processing, generates innovation problems. In order to resolve this, principle 35-parameter changes with Althshuler Matrix, little people, Su-Field analysis, seventy-six standards solutions, have been used to generate quantum functions. The result described in this paper is a new function called QuantumReLU (QReLU), created with Quantum computer in order to extend classical activation function ReLU. It is then possible to fire neuron with activation function QReLU, and to use quantum states to identify activated neurons within hidden layers. Thus, Triz systematic approach led switching neural networks algorithms from classical to quantum computer, and therefore to build deep learning NN on quantum computer, based on the new QReLU activation function.
Teaching Pronunciation – Practical Activities for the Vietnamese EFL Classroom

English learning has become increasingly widespread in Vietnam with the prevalence of private language centres and government mandates on teaching English across various levels of the education system (Hoang 2018). As Vietnam develops, the demand for communicators of English in intercultural contexts increases. However, there are concerns that even after years of studying the language, Vietnamese learners of English still have difficulties understanding other English speakers and reaching intelligibility due to lack of pronunciation skills. English teachers do not spend enough time on pronunciation skills (Gilakjani 2016). Many teachers, both native and non-native, feel more comfortable teaching other skills and perceive themselves as lacking in knowledge in teaching pronunciation. In turn, students do not receive ample pronunciation practice and thus do not feel confident in speaking (Ngan 2018). Attendees will experience useful and adaptable activities which seek to raise awareness and demystify English pronunciation for both learners and teachers. The session will begin with phoneme level activities and finish with some aspects of connected speech that are particularly useful for Vietnamese learners. Attendees will be exposed to various ways of integrating pronunciation into their lessons, developing their teaching capabilities and improving their students’ intelligibility. This session is relevant to native and non-native teachers of all levels of English.