Reviewerly/exHarmony huggingface dataset:
States of Emergency: Analysing Global Use of Emergency Powers in Response to COVID-19

The measures taken in response to the coronavirus pandemic have been among the most restrictive in contemporary history, and have raised concerns from the perspective of democracy, human rights, and the rule of law. Building on a study of the legal measures taken in response to pandemic in 74 countries, this article considers the central question of the use of power during an emergency: is it better or worse for democracy and the rule of law to declare an emergency or, instead, to rely on ordinary powers and legislative frameworks? The article then considers whether the use of powers (ordinary or emergency) in response to the pandemic emergency has ultimately been a cause, or catalyst of, further democratic deconsolidation. It concludes on a note of optimism: an emerging best practice of governmental response reliant on public trust bolstered by rationalized and transparent decision-making and the capacity to adapt, change and reform measures and policies.
PENINGKATAN KEMAMPUAN MEMBACA PERMULAAN MELALUI METODE DRILL DENGAN STRATEGI ”KACAMATA” DI KELAS I SD NEGERI 3 DAMAR

The purpose of writing best practice is to describe the application of drill methods and Kacamata strategies (beautiful cards of various letters, syllables, and words) in improving the ability to read the1 grade students of elementary school 3 Damar, identify constraints of Drill. Problem-solving strategies used are the drill method and the kacamata strategy. The implementation of the drill method is carried out three times a week by taking advantage of 20 minutes before effective learning hours begin, the technical implementation is done by means of peer tutoring and games, while the strategy of glasses (beautiful cards of various letters, syllables, and words) here are in the form of substance or material in learning to read the beginning. Results achieved after filling for 3 stages until the eleventh week, there was significant progress, out of eleven students who were educated all students were able to recognize letters and spell letters into the syllabus, while students who have not been able to spell syllabus into words are only 1 student (0,39%). Based on the data above, it turns out that the Drill method which was carried out in 3 stages for 3 months and combined with The Glasses strategy can improve the ability to read the beginning of students in grade 1 of Elementary School 3 Damar.
Joint media statement calling for the protection of media freedom in “E-Evidence draft regulation”

On April 2018 the European Commission presented a proposal to enhance cross-border gathering of electronic evidence: a Regulation on European Production ...
LibGuides: Research Introduction: Find@UVA button

With the challenges presented by the Fall 2020 semester and the increased dependence on the UVA Library's online resources, this guide is intended to walk you through the basics of access to our online databases as well as tips and tricks for honing your
ANALISIS PERBANDINGAN EFEKTIVITAS METODE PENGAJARAN TRADISIONAL DAN PENGAJARAN MULTIMEDIA PADA MATA KULIAH INTERMEDIATE CHINESE COMPREHENSIVE (传统教学与多媒体教学手段对中级汉语综合课教学效果的)

In following research, subject of the research is Chinese Comprehensive whereas semester 4 undergraduate students will be the object of the research. In comparing traditional and multimedia way of teaching, analysis of teaching methods, questionnaire and interview will be thoroughly examined. In overall, result of research concludes that multimedia teaching is more effective in comparison to traditional way of teaching. However, considering final grade of students, 4PBC1 class in particular achieved better grade in traditional teaching method class in comparison to multimedia teaching method, while it was the other way around for 4PBC2 class. Effectiveness of these two teaching methods are closely related to students personality, lecture presentation skill and student language capability. In addition, analysis on recent Chinese Comprehensive multimedia teaching was also included in questionnaire. In conclusion, it shows student’s high satisfaction towards time management during lecture, lecture material preparation and also available multimedia equipment. In summary, it was proven that traditional and multimedia teaching methods had their own advantages and disadvantages. In practice, we believed that combination of traditional and multimedia teaching methods in Chinese Comprehensive would be more effective and efficient rather than employing one of them.
Detection of Bank Logos on Video using Faster R-CNN Method

In recent years, deep learning methods have achieved high success as solution to problems in the computer vision. Especially, CNN algorithms that extract information from the image is widely applied in logo detection. In this case, the recognition of trademark in trademark applications or infringement has been one of the major problems in the literature in terms of companies. In this paper, the dataset containing the logos of banks acquired from public domain images was collected in order to perform logo recognition, by using Faster R-CNN, an approach for the recognition of the bank logo in the video have been developed and as a result average accuracy of %98 was obtained.
Learning and Strongly Truthful Multi-Task Peer Prediction: A Variational Approach.

Peer prediction mechanisms incentivize agents to truthfully report their signals even in the absence of verification by comparing agents' reports with those of their peers. In the detail-free multi-task setting, agents respond to multiple independent and identically distributed tasks, and the mechanism does not know the distribution of agents' signals. The goal is to provide an $\epsilon$-strongly truthful mechanism where truth-telling rewards agents strictly more than any other strategy profile (with $\epsilon$ additive error), and to do so while requiring as few tasks as possible. We design a family of mechanisms with a scoring function that maps a pair of reports to a score. The mechanism is strongly truthful if the scoring function is prior ideal, and $\epsilon$-strongly truthful as long as the scoring function is sufficiently close to the ideal one. This reduces the above mechanism design problem to a learning problem -- specifically learning an ideal scoring function. We leverage this reduction to obtain the following three results. 1) We show how to derive good bounds on the number of tasks required for different types of priors. Our reduction applies to myriad continuous signal space settings. This is the first peer-prediction mechanism on continuous signals designed for the multi-task setting. 2) We show how to turn a soft-predictor of an agent's signals (given the other agents' signals) into a mechanism. This allows the practical use of machine learning algorithms that give good results even when many agents provide noisy information. 3) For finite signal spaces, we obtain $\epsilon$-strongly truthful mechanisms on any stochastically relevant prior, which is the maximal possible prior. In contrast, work only achieves a weaker notion of truthfulness (informed truthfulness) or requires stronger assumptions on the prior.
Using Generative Adversarial Nets on Atari Games for Feature Extraction in Deep Reinforcement Learning

Deep Reinforcement Learning (DRL) has been successfully applied in several research domains such as robot navigation and automated video game playing. However, these methods require excessive computation and interaction with the environment, so enhancements on sample efficiency are required. The main reason for this requirement is that sparse and delayed rewards do not provide an effective supervision for representation learning of deep neural networks. In this study, Proximal Policy Optimization (PPO) algorithm is augmented with Generative Adversarial Networks (GANs) to increase the sample efficiency by enforcing the network to learn efficient representations without depending on sparse and delayed rewards as supervision. The results show that an increased performance can be obtained by jointly training a DRL agent with a GAN discriminator.
Preparation of e-learning complex from the department of elementary particle physics-the factor of increasing educational efficiency

In this article, the development of computer technology-based content of the section “physics of elementary particles”, the development of a description of difficult topics to be mastered on the basis of Information Technology, on the basis of which the effectiveness of its teaching is increased. In this sense, the fact that these questions are given from different points of view serves to the full assimilation of subjects. Due to this need, in a short time, educational programs, textbooks and manuals for various stages of the educational system on the subject of physics have been developed and are being created.
Mobile Application for G-Suite Based on Multimedia Learning Cognitive Theory

This research is to develop a mobile application for G-Suite (Google Suite) based on Multimedia Learning Cognitive Theory and to identify teachers’ perception toward the mobile application. The effect of using the mobile application to satisfaction, ability and performance of the users are also studied. Thirty-six teachers consist of ICT coordinator from a zone in Johor Bahru were involved as sample. Quantitative approach using questionnaire was implemented with 0.78 Cronbach’s Alpha value from the pilot study. The instrument used is a questionnaire to measure teachers’ perception toward the usage of the mobile application. The instrument was analysed using descriptive statistic on satisfaction, ability and performance. This research had successfully identified teachers’ perception toward apps in G-Suite such as Google Drive, Google Docs, Google Sheet, Google Slide and Google Form. All the applications were assigned as construct and significant improvement in knowledge and understanding were reported in the construct. The samples are reported as highly satisfy with the level of satisfaction, ability and performance regarding the evaluation of the mobile application. In conclusion, mobile application of G-Suite developed based on Multimedia Learning Cognitive Theory was found as effective in ensuring an effective mobile learning (m-learning).
Integrating Educational Technology in East Africa: One Size Does Not Fit All

Globalization and the post-industrial economy, combined with a growing number of the youth, has increased the demand for higher education in Africa. Online learning breaks down temporal and geographic barriers creating a digital learning community that offers an opportunity to expand access and meet skills and training demands. Deployment of technology is a principal consideration in implementing an online learning programme, given its centrality in the teaching and learning process. The integration of technology requires a decision-making matrix that provides a phased review of the suitability of solution as well as locally placed contemplation of relevance and user accessibility. Higher education institutions in low connectivity areas need to be deliberative and innovative in selecting which technology best fits their environment and accommodates their students’ limitations. This paper discusses the decision-making process of integrating technology for an online learning pilot project analysed through Rogers’ Diffusion of Innovation (DOI) theory applied to educational technological adoption. The approach of the project considered local infrastructure, university ICT capacity, and user Internet accessibility in the selection of online learning solutions. The process provides insights and understanding of the decision matrix, not only on online learning solutions but also in the broader issue of integrating technology into brick and mortar institutions. Acknowledgements. The paper is based on online learning program implementation in East Africa as part of the university partnership between the U.S. and East African universities funded by the U.S. government.
THE EFFECT OF PARTNER READING STRATEGY IN TEACHING READING AT THE SECOND GRADE OF STKIP BINA BANGSA GETSEMPENA BANDA ACEH

ABSTRACTDelpiana, 2020. The Effect of Partner Reading Strategy in Teaching Reading at the Second Grade Students' of STKIP Bina Bangsa Getsempena Banda Aceh. Skripsi. Teacher Training and Educational College of STKIP Bina Bangsa Getsempena Banda Aceh. Advisor: (1) Sri Wahyuni, M.Pd., (2) Mulyani, M.Pd., M.TESOLThis study was about the effect of Partner Reading strategy in teaching reading. The data conducted by using qualitative research with descriptive analysis. The writer limited the discussion by stated the followed problem: (1) How the lecturer implement partner reading strategy in teaching reading? (2) What are the students' responses toward using partner reading strategies in teaching reading? The aim of this study were: (1) To find out the learning process provided by lecturer in using partner reading strategy in teaching reading. (2) To identify the students' responses towards using partner reading strategy in teaching reading. The population of this study was the second grade students' of English Departement STKIP Bina Bangsa Getsempena Banda Aceh in academic year 2020. It consisted of 59 students in which 31 students from Class A and 28 students from Class B. In this study Class A to be chosen as the sample of research based on the early observation conducted by the researcher. The data needed are gotten by observing lecturer during teaching learning process, and distributing questionnaires to the students. The result of the observation shows that many observation sheet factors applied by the lecturer such as letting students choose their pairs, practice how to be a good partner. Then the teacher also pay attention during the learning process in class. It means the teaching process has a satisfactory category because it is in line with Meisinger et al in Melanie about procedure of using partner reading strategy. Besides, the students was also got the satisfying result from the lecturer by using partner reading strategy in teaching learning that was implemented in class, In which there were 23 students who got a range of 100-85 or A category. It means teaching reading by using partner reading strategy provides significant results on the student's learning process. However, for the questionnaire data, many students strongly agreed in the partner reading strategy section, which is about the benefits by using partner reading strategy that was able to encourage students' willingness to learn. Based on the result of the study, the teacher should applied partner reading strategy in teaching reading because it can improve students interested in learning reading. Keywords : Partner Reading Strategy, Teaching Reading.
Instruments of subject-to-subject interaction in blended learning: visual didactic regulators

Research background implies changing the mechanisms of subject-to-subject interaction, control, and feedback when transiting to distance and mixed learning; one of the areas of difficulties that arise during such transition is the search for a way to partially compensate for difficulties using new visual didactic tools. Research goal includes searching for new visual didactic tools based on cognitive visualization of knowledge that support and guide educational cognitive activity, interaction, and feedback in the context of distance and classroom learning. The authors use a method for analyzing the development of visual tools based on the criterion of implementing cognitive principles of knowledge representation; a method for logical and semantic modeling of knowledge using universal educational actions; a method for constructing visual tools based on graphical visualization of logical and semantic modeling of knowledge presented in natural language (the language of study). New visual didactic tools developed by the authors, and implementing illustrative and regulatory functions, are proposed to be called “visual didactic regulators of logical and semantic type” and used for subject-to-subject interaction in distance learning. The basis of such tools is also the logical and semantic models proposed by the authors, whose usefulness has been confirmed by long-term testing in the classroom training; currently, regulators are used in distance learning as an experiment.
ISOLATED WORD RECOGNITION TECHNIQUE USING MATLAB

Discourse acknowledgment innovation is implanted in voice-actuated steering frameworks at client call focuses, voice dialing on cell phones, and numerous other ordinary applications. A powerful discourse acknowledgment framework consolidates exactness of ID with the capacity to sift through commotion and adjust to other acoustic conditions, for example, the speaker's discourse rate and highlight. Planning a strong discourse acknowledgment calculation is an unpredictable undertaking requiring itemized information on signal preparing and measurable demonstrating. This article exhibits a work process that utilization worked in usefulness in MATLAB® and related items to build up the calculation for a secluded digit acknowledgment framework. The framework is speaker-subordinate—that is, it perceives discourse just from one specific speaker's voice.
Efectos del COVID-19 en la educación superior y la subsecuente aplicación de ambientes de aprendizaje virtual

The shift from education to a digital culture to face the pandemic scenario with which humanity has had to deal is a matter of discussion in the academic communities and generates confusion in the new roles and functions among the different actors in the sector. Decision making, regulations and actions represent challenges at every step and have motivated criticism. The present investigation tries to determine if the educational system of Ecuador and in turn of the city of Guayaquil, offers adequate virtual learning spaces both in its infrastructure and in its organization and execution. To reach this goal, a bibliographic deductive analysis was carried out in the collection of data related to the health crisis and its incidence in education, semi-structured interviews with two experts in higher education and in the collection of quantitative data with an empirical-analytical approach, surveys were conducted teachers and students of higher education in the city. The results allowed the authors to conclude that both preparation and prevention have been insufficient in the face of possible and probable crisis scenarios in the academy, which has limited their response capacity and resilience, so permanent observation of the situation is recommended. evolution of the events caused by the crisis to achieve the design of strategies that aim to improve the tangible and intangible institutional structure of the universities.Keywords: Virtual learning; digital culture; social values; higher education; online teaching.
LibGuides: The Culper Spy Ring: Home

A guide to resources about The Culper Spy Ring. This guide offers information, pictures, videos and sources.
The Implementation of Tranparency Through Website Disclosure Among Universities in Makassar

The research aims to see the disclosure of higher education elements transparently through the website, asses of the disclosure and compare it with the ranking of websites through webometrics. This research is a qualitative descriptive study through website observation and collection of relevant dat
O USO DE DISPOSITIVOS MÓVEIS EM SALA DE AULA E A MULTITAREFA: EFEITO NA PERFORMANCE ACADÊMICA DE ESTUDANTES UNIVERSITÁRIOS / THE USE OF MOBILE DEVICES IN THE CLASSROOM AND MULTITASKING: EFFECT ON THE ACADEMIC PERFORMANCE OF UNIVERSITY STUDENTS

The widespread use of mobile devices is transforming classes in higher education.This study examined whether the multitasking by using of mobile devices in the classroom affects the academic performance of college students.Students were divided into three groups (spontaneous use, stimulated use and non-use of mobile devices) and their learning was compared.The academic performance of the group that was asked not to use mobile devices was superior to that of the other groups.Students also answered a questionnaire assessing their motivation to learn, as well as the self-reference of the
A Survey of Digitized Handwritten Signature Verification System

In this digital world, the problem of recognizing a person is resolved by various biometric applications. Along with various unique physical biometric patterns like face, iris, fingerprints, etc., some of the behavioural biometric patterns like signatures, voice, gait, etc. are also used for recognizing an individual. Among all these, handwritten signatures play a major role in our daily life. In this paper, we have discussed the recent work done on online and offline modes which are the two ways of digitizing the handwritten signatures. We have done a comparison of these works based on various features and techniques used. The raw features such as the image of signature and position coordinates, time, pressure, etc. are considered in offline and online signature verification, respectively. For matching the signature pattern, many Artificial-Intelligence-based techniques and machine learning algorithms like support vector machine, hidden Markov model, neural network, fuzzy logic, deep learning, etc. have been used in developing different handwritten signature verification systems. We have also highlighted some signature verification systems which considered handwritten signatures of different languages like Arabic, Chinese, Japanese, Bangla, Hindi, English, etc. The performances of such signature verification systems lead us to do more work using other Indic-scripts-based signatures.
Dante Boon, <i>Six Melodies</i> (2020), 3×3 Concerts 5 June, 3 July and 7 August 2020.

The Covid-19 pandemic is an extremely difficult time for musicians, and some, out of necessity and perhaps curiosity and experimentation, have been exploring digital realisations of music, such as live streamed or pre-recorded concerts. Examples that I have experienced or have been a part of include the experimental music ensemble Bastard Assignment's Lockdown Jams involving Zoom experiments, the experimental Free Range Concert Series streamed on YouTube, the Montrose Composers’ Club Zoom collaborations, and The Ensemble Whose Name is Uhhhhmm … (formerly Lil’ Jürg Frey) who perform music in Animal Crossing using in-game sounds.
Energy consumption prediction of cement production based on chaotic neural network-Markov chain

Abstract In order to improve the accuracy of energy consumption modeling and prediction in the cement production process, a cement production energy consumption prediction model based on chaotic neural network is proposed: 1. In the energy consumption modeling stage, chaotic neural network is used to reconstruct the phase of chaotic time series. Space, the chaotic neural network can still make high-precision predictions of the system even when the network input is incomplete or mutated, and the determination coefficient value is 0.019 higher than that of the RBF neural network. 2. In the energy consumption prediction stage, the introduction of Marko The residual error correction method is to correct the current forecast value based on the residual error between the historical predicted energy consumption value and the actual energy consumption value. The result shows that the relative residual error of the predicted value corrected by the Markov correction method decreases from -0.6% to -0.25 %, the predicted value of energy consumption is closer to the actual value. Based on the above description of the two stages of energy consumption modeling, the proposed cement production energy consumption prediction model has better prediction effects and higher prediction accuracy than traditional mechanism modeling in cement production energy consumption prediction.