Reviewerly/exHarmony huggingface dataset:
The other side of the Coin: Risks of the Libra Blockchain

Libra was presented as a cryptocurrency on June 18, 2019 by Facebook. On the same day, Facebook announced plans for Calibra, a subsidiary in charge of the development of an electronic wallet and financial services. In view of the primary risk of sovereignty posed by the creation of Libra, the Central Banks quickly took very clear positions against the project and adressed a lot of questions to the responsible of the project focusing on regulation aspects and national sovereignty. The purpose of this paper is to provide a holistic analysis of the project to encompass several aspects of its implementation and the issues it raises. We address a set of questions that are part of the cryptocurrency environment and blockchain technology that supports the Libra project. We identify the main risks considering at the same time: political risk, financial risks, economical risks, technological risks and ethics focusing on the governance of the project based on two levels: one for the Association and the other for the Libra Blockchain. We emphazise the difficulty to regulate such a project as soon as it will depend on several countries whose legislations are very different. The future of this kind of project is discussed through the emergence of the Central Bank Digital Currencies.
Utilization of Electronic Journals by Researchers in Madurai Kamaraj University: A Study

This article introduces an investigation that looks to inspect the utilization of e-diaries by the specialists at Madurai Kamaraj University. This study uncovers that every one of the specialists knows about e-diaries in Madurai Kamaraj University. From this review, the specialists have possessed the capacity to discover the numerous examination researchers are counseling e-diaries from their college library and PC focuses, for inquiring about reason as well as to refresh their exploration work. Be that as it may, the investigation additionally uncovered a few issues, including moderate downloading and need if preparing. The specialist's emotions about the requirement for print diaries and additionally electronic diaries are likewise talked about.
The distribution of stationary correlations between qubits and the environment

We study the distribution of the stationary correlations in a system of two nonidentical as well as identical two-level atoms separated by an arbitrary distance and interacting with a squeezed vacuum. We investigate how the interatomic distance and the squeezing mean number of photons influence the way that one of the atoms is quantum correlated with the environment. Both for nonidentical and identical atoms, the approach of the two atoms can maximize the entanglement and quantum discord between the pair of atoms. For nonidentical atoms, the bigger the mean number of photons, the stronger the stationary correlations, i.e., entanglement of formation (EOF) and quantum discord (QD) between the qubit and the environment as the increase of distance. The increase of EOF and QD with the environment is always accompanied by a decrease of the correlations between the subsystems with regard to the interatomic distance no matter what the mean number of photons is. For identical atoms, the stationary correlations EOF and QD between each partition behave similarly with respect to the distance when the mean number of photons is very small.
متطلبات تحقیق التمیز فی بحوث الإدارة التربویة بجامعات المملکة العربیة السعودیة فی ضوء معاییر التصنیف العالمی Excellence Achievement Requirements in Educational Management Research in the Kingdom of Saudi Arabia Universities in the Light of the International Classification Standards

هدف البحث إلى تحديد متطلبات تحقيق التميز البحثي في هذه المجالات، وذلک في ضوء معايير التصنيف العالمي للجامعات، وبناء أداة لقياس مستوى التميز في بحوث الإدارة التربوية بالأقسام الأکاديمية بالجامعات السعودية، وتوصل البحث إلى مجموعة من المتطلبات الحيوية لتحقيق التميز في بحوث الإدارة التربوية، جاء على رأسها في مجال تنفيذ البحوث: توفير البنية التحتية ومصادر المعلومات الحديثة. وفي مجال البحوث المنشورة: توفير قاعدة بيانات للبحوث المنشورة في الإدارة التربوية على مستوى کل جامعة. وفي مجال الحجم البحثي: صرف مکافآت لأعضاء هيئة التدريس المنتظمين في إنتاجهم البحثي المتميز The current aimed to identify the requirements of achieving excellence in some areas in the light of the international classification standards of universities. The also aimed to design an instrument for measuring the level of excellence in the of educational administration in the academic departments in the Saudi universities. The identified a set of vital requirements for achieving excellence in the educational management research, namely, in the field of research implementation, providing infrastructure and up-to-date information sources. Furthermore, in the field of research publishing, the suggested providing database of published in the educational management in every university. On the other hand, in the field of research amount, the suggested paying rewards to the staff members who provide regularly their product.
Explaining Criminal Sanctions in Intellectual Property Law

This symposium piece first seeks to unpack the relationship between intellectual property infringement and property offenses, and then to understand how the connection between the two has informed when the former is criminalized. The piece examines the porous nature of the boundary line between intangible and tangible resources, showing the at-times uncomfortable fit of the non-rivalrous label to intellectual property. An analysis of the respective harms of the two types of violations follows. This symposium contribution shows how lawmakers have treated patents differently from other forms of intellectual property by choosing not to criminalize their infringement, due both to utilitarian reasons and public choice rationales. While historically the entities who pushed for harsher sanctions for copyright violations in particular have often not encountered resistance, a combination of large tech companies’ and grassroots organizations’ activism has thwarted attempts at strengthened enforcement in recent times. The political landscape of copyright lawmaking, however, may be on its way to the greater degree of equipoise between support and opposition to greater sanctions that one observes in the patent legislative context.
Autoencoders and Generative Adversarial Networks for Imbalanced Sequence Classification

Generative Adversarial Networks (GANs) have been used in many different applications to generate realistic synthetic data. We introduce a novel GAN with Autoencoder (GAN-AE) architecture to generate synthetic samples for variable length, multi-feature sequence datasets. In this model, we develop a GAN architecture with an additional autoencoder component, where recurrent neural networks (RNNs) are used for each component of the model in order to generate synthetic data to improve classification accuracy for a highly imbalanced medical device dataset. In addition to the medical device dataset, we also evaluate the GAN-AE performance on two additional datasets and demonstrate the application of GAN-AE to a sequence-to-sequence task where both synthetic sequence inputs and sequence outputs must be generated. To evaluate the quality of the synthetic data, we train encoder-decoder models both with and without the synthetic data and compare the classification model performance. We show that a model trained with GAN-AE generated synthetic data outperforms models trained with synthetic data generated both with standard oversampling techniques such as SMOTE and Autoencoders as well as with state of the art GAN-based models.
Laws of Monadic Error Handling

One of the numerous applications of monads in functional programming is error handling. This paper proposes several new axiomatics for equational reasoning about monadic computations with error handling and studies their relationships with each other and with axiomatics considered earlier. The primary intended application area is deterministic top-down parsing.
Turn-in-interaction including an eye gaze accessed speech generating device

The preconditions for communication with eye gaze accessed speech generating device (SGD) is different compared to typical talk-in-interactions. Firstly, gaze practices are needed in the production ...
MULEA'19

The First International Workshop on Multimodal Understanding and Learning for Embodied Applications is held in Nice, France, in conjunction with ACM Multimedia 2019. Embodied applications require the learning and knowledge discovery process involving an agent, the environment, and actions, as well as the understanding and grounding of multiple modalities of input signals. Being one of the frontiers in AI research, it covers many of the applications in AI, such as robotics, autonomous driving, multimodal chatbots, or simulated games. The Workshop brings an exciting program with invited speeches, original research papers, and lively discussions on this new and exciting research area.
LibGuides: Learning at WAB: Home

Bringing our definition of learning to life through our FLoW21 Targets and relationship with other organisations.
Electromagnetic Quantization of the Universe

We live in an electromagnetic universe. Electromagnetism it is the foundation of our universe. Galaxies, stars, planets and nature have arisen from this electromagnetism as primordial matter. This is the global electromagnetic field of the universe that I discovered in 1996 [1, 2]. Quanton is a new particle of the quantum of space-time and it is the carrier of superstrong electromagnetic interaction (SEI). Quanton includes four quarks: two electrical ± e and two magnetic ± g and it unite electricity and magnetism in the global field SEI [1, 4]. The diameter of the quanton is very small; it is 10 orders of magnitude smaller than the diameter of the proton. It is an ultra microworld. This is an ultra microcosm at the level of fundamental Leonov's length [5, 6]. Therefore, we cannot observe the SEI field at the level of real dimensions. We can observe only a violation of the electromagnetic equilibrium of the SEI field as a manifestation of the laws of electromagnetic induction and Maxwell's equations. Gravity is a deformation of the SEI field (Einstein's curvature). Quantization of the universe is the physical process of filling quantons of its volume. But we don’t know who did it [1].
융합지향 조직 구축을 위한 융합인재 측정 도구 개발

This study aims to examine validity and reliability of the convergence talent measurement. Based on the comprehensive literature review on convergence and convergence talent, we draw 4 main competencies (convergence cognitive, accomplishment, problem solving, and attitude) and 10 critical aspects (creative thinking, critical thinking, cooperation, communication, problem-solving, knowledge accessibility, resource utilization, trust, openness, caring) for building an effective convergence-oriented organization. A validity and reliability test survey were conducted for the analysis to investigate the convergence talent scale. With a data of 151 employees in diverse companies, the results show that the factors demonstrated acceptable levels of validity and reliability. The empirical evidences of our study are 10 key aspects comprising four main dimensions which suggest an available scale for measuring the convergent talent for enhancing convergence-oriented organizations. Our research contributes to the expansion of academic and practical implications on convergence, especially in convergence-oriented organizations.
Multimodal Data Collection for Social Interaction Analysis In-the-Wild

The benefits of exploiting multi-modality in the analysis of human-human social behaviour has been demonstrated widely in the community. An important aspect of this problem is the collection of data-sets that provide a rich and realistic representation of how people actually socialize with each other in real life. These subtle coordination patterns are influenced by individual beliefs, goals, and, desires related to what an individual stands to lose or gain in the activities they perform in their every day life. These conditions cannot be easily replicated in a lab setting and require a radical re-thinking of both how and what to collect. This tutorial provides a guide on how to create such multi-modal multi-sensor data sets when holistically considering the entire experimental design and data collection process.
Learning to Localize Temporal Events in Large-scale Video Data.

We address temporal localization of events in large-scale video data, in the context of the Youtube-8M Segments dataset. This emerging field within video recognition can enable applications to identify the precise time a specified event occurs in a video, which has broad implications for video search. To address this we present two separate approaches: (1) a gradient boosted decision tree model on a crafted dataset and (2) a combination of deep learning models based on frame-level data, video-level data, and a localization model. The combinations of these two approaches achieved 5th place in the 3rd Youtube-8M video recognition challenge.
Direct-to-Consumer Genetic Testing and Potential Loopholes in Protecting Consumer Privacy and Nondiscrimination

(Abstracted from JAMA 2019;321(19):1869–1870) A recent report from the National Academies of Science, Engineering, and Medicine expressed concern that more use of direct-to-consumer (DTC) genetic testing by law enforcement could impact how individuals perceive genetic testing benefits and risks. In this commentary, the authors are especially concerned that these perceived risks could add feelings of distrust or discrimination, especially for vulnerable groups and populations including immigrants, prisoners and former convicts, sexual minorities, and racial or ethnic minorities, resulting in less use of genomic medicine.
The Effect of Read, Encode, Annotate, and Ponder (REAP) Strategy towards Student’s Reading Comprehension

The research is aimed at finding out the effect of using Read, Encode, Annotate, Ponder (REAP) strategy toward reading comprehension in exposition text of the eleventh grade students of Islamic Senior High School Nurul’Amal Menes in 2019 Academic Year.The researcher collected from 54 students, by divided them into two classes, one class as the experiment class as much as 27 students and the other class as control class as much as 27 students. The population as much as 54 students of the eleventh grade of Islamic Senior High School Nurul’Amal Menes. The method of this research is experiment method. In this research, the researcher use pre-test and post-test to collect data. In which the test took form of the t-test, the data used to prove the hypothesis being proposed. In the pre-test, the standard deviation of experimental class was 6,88 and the standard deviation of control class was 7,47 while in the post-test the standard deviation of experimental class was 8,42 and the standard deviation of control class was 11,48. In the post-test of t-test, the researcher can conclude that of t count> table or 3,23> 1,671 so Ha = t count > t table therefore Ha is accepted and there is a significant effect of using Read, Encode, Annotate, Ponder (REAP) strategy toward students reading comprehension on exposition text.
The Password Literacy in North Macedonia

Following the repeated reports of high prevalence of functional illiteracy in the countries of the Western Balkans, we go on to study the password composition habits of cultural groups from this region. Ina password cracking experiment, we obtain and analyze a number of passwords composed for use in learning management systems (LMS) by recent high-school graduates from North Macedonia. We estimate the strength of these passwords and their crackability by methods adjusted to local cultural specifics. Our results indicate that high extent of general illiteracy is intertwined with low awareness about good password practices, which in turn may lead to creating various vulnerabilities to deployed systems and confidential data. We conclude that, in the studied region, there is an immediate need for educating the population of good password practices and good system and data security practices in general.
Development of Teaching-Learning Plans Applying ARCS Motivation Strategies for Food Safety Education

본 연구는 2015 개정 가정과 교육과정의 ‘식품의 선택과 안전한 조리’ 내용요소를 중심으로 ARCS 동기유발 전략을 적용한 식품 안전 교육 교수 · 학습 과정안을 개발하는 데 목적을 두고 있다. 이를 위해 분석, 설계, 개발, 평가(1), 수정(1), 평가(2), 수정(2) 및 완성의 단계로 연구를 수행하였다. 분석 단계에서는 2015 개정 가정과 교육과정의 성취기준과 교육과정 6대 핵심개념 중 하나인 ‘안전’ 관련 내용요소 중 ‘식품의 선택과 안전한 조리’에 해당하는 중학교 교과서(12종)의 내용을 분석하였다. 설계 및 개발 단계에서는 식품 안전 교육요소를 선정하여 ARCS 동기유발 전략을 적용한 교수 · 학습 과정안, 학습 활동지, 학생 평가 도구를 개발하였다. 평가(1)과 수정(1) 단계에서는 식품 안전 교육요소와 ARCS 동기유발 전략에 대하여 개방형 질문으로 평가 항목을 선정하여 4인의 전문가 집단을 통해 타당도를 검증받았으며, 교수 · 학습과정과 연계한 과정 중심 평가계획, 내재적 동기유발 강화 방안등의 개선점에 대한 의견을 반영하여 9차시의 교수 · 학습 과정안으로 수정하였다. 평가(2)와 수정(2) 단계에서는 수정(1)의 결과를 대상으로 식품 안전 교육과의 관련성, 학습목표 달성의 적합성, 동기유발전략의 적절성 등의 3개 항목에 대한 타당도와 개선점에 대하여 개방형 질문으로 7인의 전문가 집단을 통해 2차 검증받았으며, 의견들을 반영하여 자료를 수정 및 보완하여 최종 10차시의 교수 · 학습 과정안을 완성하였다. 본 연구는 중학생을 대상으로 한 식품 안전 교육을 위해 ARCS 동기유발 전략을 적용한 교수 · 학습 과정안으로서 현장교사들 및 교육과정 개발자에게 좋은 자료로 활용되기를 기대한다.The purpose of this study was to develop teaching-learning plans applying ARCS strategies for food safety education, focusing on units related to the ‘food selection and safe cooking’. To achieve this purpose, this study was conducted in the following order of analysis, design, development, assessment I, revision I, assessment II, revision II, and completion. In the analysis stage, 2015 revised curriculum and middle school technology-home economics textbooks(12 kinds) contents of ‘food selection and safe cooking’ among content elements of core concept ‘safety’ were analyzed. In the design and development stages, teaching-learning plans, teaching-learning materials, and evaluation rubric for teaching-learning outcomes using the ARCS motivation strategy were developed. In the phases of assessment I and revision I, evaluation items were selected as open-ended questions about food safety education factors and ARCS strategies, and their validities were verified by four experts. The teaching-learning plans for nine lessons were revised based on the feedbacks such as evaluation plans considering the correspondence between instruction and evaluation, strategy to reinforce intrinsic motivation, correction of improper contents composition, and so on. In the phases of assessment II and revision II, the validity of the three items, including relevance of each teaching-learning to food safety education, suitability of learning goals, and appropriateness of motivation strategy, was verified by seven experts. The final teaching-learning plans for 10 lessons were developed by revising and supplementing the data by compiling opinions of the assessment II. It is expected that this study can contribute to food safety education for middle school students, and that teaching-learning plans which apply ARCS strategies for food safety education will be used as good references for school teachers and curriculum developers.
Approaching Non-Disruptive Distributed Ledger Technologies

Distributed ledger technologies have been considered for a plethora of interesting use cases, ranging from supply chain integration to open medical journals. While able to facilitate novel forms of ...
Semi-supervised Learning via Adaptive Low-Rank Graph

Graph-based semi-supervised learning (SSL) is one of the most popular topics in the past decades. Most conventional graph-based SSL methods utilize two stage-approach to infer the class labels of the unlabeled data, i.e. it firstly constructs a graph for capturing the geometry of data manifold and then perform SSL for prediction. However, it suffers from three drawbacks: (1) the graph construction and SSL stages are separate. They do not share common information to enhance the performance of classification; (2) the graph construction and SSL should be scalable. However, most methods mainly focus on the improvement of classification accuracy but neglect the computational cost; (3) the graph should also be adaptive and robust to the parameters and datasets. However, this will usually increase computational cost making the efficiency cannot be guaranteed simultaneously. In this paper, we aim to handle the above issues. To achieve adaptiveness of SSL, we adopt a bilinear low-rank model for graph construction, where the coefficient matrix of the low-rank model is calculated through an adaptive and efficient procedure the corresponding constructed graph can capture the global structure of data manifold. Meriting from such a graph, we then propose a unified framework for scalable SSL, where we have involved the graph construction and SSL into a unified optimization problem. As a result, the discriminative information learned by SSL can be provided to improve the discriminative ability of graph construction, while the updated graph can further enhance the classification results of SSL. Simulation indicates that the proposed method can achieve better classification and clustering performance compared with other state-of-the-art graph-based SSL methods.
Intelligent Clustering as a Means to Improve K-means Based Horizontal Attacks

Machine learning approaches have a high potential for improving the success rate of side channel analysis attacks. In this paper we present horizontal side channel analysis attacks against three crypto-implementations suffering from different levels of leakage using a single power and a single electromagnetic trace. We show the effectivity of attacks using $k-means$ as analysis tool. In addition we introduce a new approach that we call intelligent clustering that enables attackers to select the start centroids in such a way that the ability of $k-means$ to extract the key bits is increased up to 38.56 % compared to $k-means$ starting the farthest neighbors centroids and up to 66.66 % compared to the mean correctness for $k-means$ starting with random centroids.
EFFECT OF WORKPLACE INFORMAL GROUP SOCIAL NETWORKS ON EMPLOYEE PERFORMANCE AT THE KAKAMEGA COUNTY GENERAL TEACHING AND REFERRAL HOSPITAL, KENYA

The purpose of this study was to establish the effect of informal work groups’ characteristics on employee performance at the Kakamega County General Teaching and Referral Hospital. Specific objective was to establish the effect of group networks on employee performance. Descriptive research design was adopted by the study. Target population comprised of 602 employees in the hospital. Yamane’s formula was used to obtain a sample of 240 respondents who were selected through stratified random technique. Questionnaires were used for data collection. Validity and reliability was attained through expert consultation and test retest respectively during a pilot study on randomly selected 24 respondents from the hospital that was not part of the final study. Descriptive statistics was used to analyze background information of the respondents, demographic variables, and level of interaction, group networks and creativity of group members. The effect of the coefficients of informal groups’ networks on employee performance was analysed using regression analysis. Findings revealed that social networks affects employee performance to great extent. It was concluded that the management of Kakamega County General Teaching and Referral Hospital had not created a suitable environment for informal team variables like social networks to thrive. The study recommended that the hospital should identify and strengthen workable informal networks through which work performance would be enhanced . Key words : Employee Performance; Informal Workplace Groups; Social Networks; Kakamega County General Hospital CITATION: Vigatsi, H. K., &amp; Amuhaya, J. (2019). Effect of workplace informal group social networks on employee performance at the Kakamega County General Teaching and Referral Hospital, Kenya. The Strategic Journal of Business &amp; Change Management, 6 (4), 678 – 687