Reviewerly/exHarmony huggingface dataset:
Stablecoins - a gateway between conventional and crypto financial universes?

Stablecoin is a digital token designed to serve as a digital currency with a stable fiat value, as a rule thanks to pegging to or backing with, one or several conventional assets. Most stablecoins are blockchain-based, which makes it easy for investors to trade them on crypto exchanges. In this article, we discuss the nature of stablecoin links to traditional finance, various motives for stablecoin demand as well as the place of central bank digital currencies (CBDC) in the crypto asset ecosystem in the presence of private stablecoins.
Generalized Measures of Fuzzy Entropy with Order and Degree for Intuitionistic Fuzzy Set

The present communication introduces and defines a parametric exponential fuzzy information measure in an axiomatic method of entropy. We generalise Anshu Ohlan's definition of entropy on fuzzy sets to intuitionistic fuzzy sets. To verify that our suggested measure is valid entropy, we have analyzed some properties of this measure.
New Challenges and Opportunities in Library Collections, Services, Spaces and Operations during COVID-19: An Overview

The Corona Virus Disease 2019 (COVID-19) has changed the strategy for learning and teaching. The diverse lockdown were accounted for recalling the fleeting finish of all informational associations for by far most of the countries by the Government. As a result of these cross-country terminations have influenced 90% of the world's graduated class understudy people. To be sure, even the school understudies are furthermore significantly affected to go to the standard classes. Preparing pros from various countries have taken various undertakings to continue with the learning cycle. COVID proposes the difference in guidance and learning into another pathway of virtual learning.
THE INFLUENCE OF STUDENT’S CHOICE STRATEGY TOWARDS STUDENTS’ READING ABILITY AT TENTH GRADE OF SMK NEGERI 1 SIMPANG PEMATANG IN CADEMIC YEAR 2020/2021

This aim of this research was to know the influence of Student’s Choice strategy towards students’ reading ability at SMK Negeri 1 Simpang Pematang.. In this research the writer used experimental method or known as descriptive quantitative research. The population was 252 students in 8 classes. The sample was taken by using Cluster Random Sampling Technique. The writer took 2 classes as the sample of research namely experimental and control class. They were X TKJ 1 and X TJK 2. It consisted of 60 students. The main technique in measuring students’ reading ability was multiple choices which consisted of 40 item test. Each item has five options a, b, c, d, and e. The score of each item was 2.5. in calculating the data analysis, the writer used t-test formula. Based on the data analysis by using t-test formula, the writer got the result that Hα was accepted. It was obtained that ttest = 3.14, ttablefor α= 0.05 was 1.68 and for α=0.01 was 2.42 (3.14> 1.68 57.9). Based on the result of the research, it is clear that Student’s Choice strategy had good effect to students’ reading ability.
Text Complexity Assessment Tools: A Modern Paradigm

The present article focuses on linguistic parameters of reading texts measured by online tools which also determine the target reading audience. The authors demonstrate that text complexity and text leveling are performed based on a number of descriptive (quantitative) and qualitative parameters of a text. We also present three online tools proved to be successfully used in designing and developing academic texts used in textbooks and tests for readers of different reading literacy levels. The functional range of the tools is tested on the text used in PISA reading literacy part.
Speculation and lottery-like demand in cryptocurrency markets

©2021 The Authors. Published by Elsevier B.V.This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
An inventive analysis on Critical thinking in basic education

This documentary review work is aimed at examining the approach to critical thinking in basic education students, in order to determine how studies have been approached to improve that thinking, published in currently indexed scientific journals in the most prestigious databases, indicating the work characteristics to be included or excluded, the type of methodological design, the type of study, the year of publication and the results obtained, it is necessary to indicate that this competence has been left to abandonment as there are no mechanisms of curriculum progression that guarantee their progress within educational programmes; in this sense, from the initial stage students should be promoted the ability to acquire autonomous learning, collaborative teamwork, to promote the skills of analysis and problem solving, but based on pre-established criteria that involve the need for critical and constructive judgment
Context-Specific Representation Abstraction for Deep Option Learning

Hierarchical reinforcement learning has focused on discovering temporally extended actions, such as options, that can provide benefits in problems requiring extensive exploration. One promising approach that learns these options end-to-end is the option-critic (OC) framework. We examine and show in this paper that OC does not decompose a problem into simpler sub-problems, but instead increases the size of the search over policy space with each option considering the entire state space during learning. This issue can result in practical limitations of this method, including sample inefficient learning. To address this problem, we introduce Context-Specific Representation Abstraction for Deep Option Learning (CRADOL), a new framework that considers both temporal abstraction and context-specific representation abstraction to effectively reduce the size of the search over policy space. Specifically, our method learns a factored belief state representation that enables each option to learn a policy over only a subsection of the state space. We test our method against hierarchical, non-hierarchical, and modular recurrent neural network baselines, demonstrating significant sample efficiency improvements in challenging partially observable environments.
An ASR-Based Tutor for Learning to Read: How to Optimize Feedback to First Graders

The interest in employing automatic speech recognition (ASR) in applications for reading practice has been growing in recent years. In a previous study, we presented an ASR-based Dutch reading tutor application that was developed to provide instantaneous feedback to first-graders learning to read. We saw that ASR has potential at this stage of the reading process, as the results suggested that pupils made progress in reading accuracy and fluency by using the software. In the current study, we used children’s speech from an existing corpus (JASMIN) to develop two new ASR systems, and compared the results to those of the previous study. We analyze correct/incorrect classification of the ASR systems using human transcripts at word level, by means of evaluation measures such as Cohen’s Kappa, Matthews Correlation Coefficient (MCC), precision, recall and F-measures. We observe improvements for the newly developed ASR systems regarding the agreement with human-based judgment and correct rejection (CR). The accuracy of the ASR systems varies for different reading tasks and word types. Our results suggest that, in the current configuration, it is difficult to classify isolated words. We discuss these results, possible ways to improve our systems and avenues for future research.
USE OF MODERN INFORMATION TECHNOLOGIES IN THE DISTANCE LEARNING

Currently, the number of applicants who prefer distance education is growing every year. This form of learning reflects all the inherent components of the learning process such as goals, content, methods, organizational forms and means of learning. The widespread demands for this form of education and the modern realities caused by the COVID-19 pandemic have created the need the development and implementation of distance learning technologies.&#x0D; Ensuring educational dialogue in distance learning is done with the help of telecommunication technologies. The main technologies most widely used in this form of education include a variety of video lectures, electronic multimedia textbooks, computer training and testing systems, and other.&#x0D; In this article the new information technologies used in the process of distance learning discussed in detail. Although we discussed advantages and disadvantages of the new information technologies. In addition, distance learning using Internet technologies is gaining more and more popularity. The Internet has a number of specific features (openness, accessibility, variability, interactivity) that must be considered when designing, creating and conducting distance learning courses.&#x0D; The main strengths of this form of learning, in our opinion, are flexibility, modularity, accessibility, cost-effectiveness, mobility and manufacturability.&#x0D; Weaknesses include the lack of direct face-to-face communication, the mandatory availability of a personal computer and access to Internet resources, the problem of user authentication when testing knowledge, the high complexity of developing distance learning courses and others.&#x0D; Also considered are the main models the organization of distance learning, which are used in the leading universities in the world. These include: consortium, franchising, validation, distance audiences, projects, and open learning.&#x0D; Thus, despite the weaknesses, modern computer telecommunications is able to provide knowledge transfer and access to various educational information equally, and sometimes much more effectively than traditional teaching aids. A variety of educational technologies can not only ensure the active involvement of students in the learning process, but also allow you to manage this process, unlike most traditional learning environments.
Data Analytics for Effectiveness Evaluation of Islamic Higher Educationusing K-Means Algorithm

The aim of this research is to utilize data analytics technology in evaluating the development of Indonesian national curriculum based on Indonesian National Qualification Framework, especially in universities. This research uses Exploratory Data Analysis (EDA) and several clusterization method, among others K-Means, K-Means++, MiniBatch K-Means, and MiniBatch K-Means++. The result of this research is not to measure the accuracy of clasterization result, but to discover the insight and interpretasion information from data collections that related with national curriculum in Indonesia. Based on the EDA and claterization methods with 30 variables of quetions and 67 students as respondent, MiniBatch K-Means with 2 cluster has the best pattern that reliable with highest Silhouette Coefficient value. However, on average K-Means++ has better interpretation than the others, with the average of Silhouette Coefficient value is highest. From that result, thisresearch found that generally around 77,67% students can understand and feel the application of the Indonesian national curriculum well, but specifically only about 19.4% of students really understand and feel the impact of the curriculum very well. This is important to be evaluated by curriculum users in this case students and tertiary educational institution to improve the quality of academic services in the application of the Indonesian national qualification network.
EXPERIENCE OF THE POLICE ACADEMY IN SZCZYTNO IN TRAINING LAW ENFORCEMENT SERVICES INVOLVED IN PREVENTING AND COMBATTING HUMAN TRAFFICKING

Organised crime, including human traffi cking, is one of the most serious crimes against persons and violations of human rights. Human trafficking is a complex illegal business and, in most cases, involves activities undertaken by international organised crime gangs. Human traffi cking combines aspects of human life in terms of limitating freedom to enjoy it. This publication intends to standardise the existing theories and defi nitions and to collect and systematise the knowledge of the experience of the Police Academy in Szczytno in training law enforcement services involved in preventing and combatting human traffi cking. The study presents a number of activities undertaken since 2006 by the Academy, whose aim has been to provide training for the relevant services responsible for combatting transnational organised crime, and for preventing and combatting human traffi cking.
Hybrid Experimental Measurement of Sectional Stiffness Properties of the MERIT Rotor Blade with Digital Image Correlation

A method to experimentally determine the sectional stiffness properties of modern fiber composite rotor blades is presented. This study hereby follows the novel approach introduced by Sinotte and Bauchau. The hybrid method relies on the measurement of the strain field and combines it with a numerically determined warping field. The strain field is measured using Digital Image Correlation (DIC)- a contact-free, optical 3D deformation measurement method in order to analyze and calculate deformations. The warping displacement field is recovered from a 2D cross-sectional structural analysis using the preprocessor SONATA and ANBA4.The design and manufacturing of the herein presented test article, the first rotor blade specifically developed for the Munich Experimental Rotor Investigation Testbed (MERIT), is described in detail and sectional stiffness properties are calculated based on the experimentally measured strains and loads.
Study Guides: Music & Sound Design: Software & Sound Design Guides

This guide will help Music & Sounds Design students find and evaluate key resources needed to successfully complete their assessments.
일본 성경에 나타나는 동사에 대한 일고찰 - 잠언을 중심으로 -

This study tries to present a list of basid verbs in the Japanese Bible by analyzing the quantitative views of the verbs appearing in the Japanese Bible and the frequency of their use.
On the size of disjunctive formulas in the μ-calculus

A key result in the theory of the modal µ-calculus is the disjunctive normal form theorem by Janin & Walukiewicz, stating that every µ-calculus formula is semantically equivalent to a so-called disjunctive formula.These disjunctive formulas have good computational properties and play a pivotal role in the theory of the modal µ-calculus.It is therefore an interesting question what the best normalisation procedure is for rewriting a formula into an equivalent disjunctive formula of minimal size.The best constructions that are known from the literature are automata-theoretic in nature and consist of a guarded transformation, i.e., the constructing of an equivalent guarded alternating automaton from a µ-calculus formula, followed by a Simulation Theorem stating that any such alternating automaton can be transformed into an equivalent non-deterministic one.Both of these transformations are exponential constructions, making the best normalisation procedure doubly exponential.Our key contribution presented here shows that the two parts of the normalisation procedure can be integrated, leading to a procedure that is single-exponential in the closure size of the formula.
Knowledge of Cyber Crime by Electronic Media

Crime is a social and economic phenomenon and is as old as the human society. As, life is about a mix of good and evil, so is the internet. For all the good it does to us, cyberspace has its dark sides too. The internet is undeniably open to exploitation. Known as cyber-crimes, these activities use of computers, the internet, cyberspace and the World Wide Web. Everybody is using computer. From while collar criminals to terrorist organizations and from teenagers to adults. All crimes performed or resorted to by abuse of electronic media or otherwise, with the purpose of influencing the functioning of computer or computer system. Cyber-crime is the latest and perhaps the most complicated problem in the cyber world. Cyber-crime is an evil having its origin in the growing dependence on computers in modern life. In a day and age when everything from microwave ovens and refrigerators to nuclear power plants is being run on computes, cyber-crime has assumed rather sinister implications.While the world-wide scenario on cyber-crime looks bleak, the situation in Nepal is not any better. Cyber-crimes in Nepal are slowly evolving from a simple e-mail crime to more serious crimes like hacking and source code theft. Cases of spam, hacking, cyber stalking and email fraud are rampant despite the enactment of the Electronic Transactions Act, 2063 B.S. (2008 A.D.) ETA and Banking Offence and Punishment Act, 2064 B.S. (2008 A.D.) the Nepal's Cyber Law and setting up of cyber-crimes cells in major cities. The Problem is that most cases remain unreported due to a lack of awareness.
Library Guides: Research Data Management (RDM): RDM Essentials

Data management essentials for Melbourne Polytechnic researchers Basic information and definitions required for getting started with Research Data Management (RDM)
Sentiment Analysis of Healthcare Reviews Using Context-Based Feature Weight Embedding Technique

Healthcare reviews play a major role in providing feedback to consumers as well as medical care information to users. Historically, the sentiment analysis of clinical documents will help patients in analyzing the medicines and identifying the relevant medicines. Existing methods of word embeddings use only the context of words; hence, they ignore the sentiment of texts. Medical review analysis is important due to several reasons. Patients will know the results of using medicines since such information is not easily obtained from any other source. Historical results of predictive analysis say that among people aged 55-80, the death rate from 2005 to 2015 in the US was at the top for the deadliest disease, which increased exponentially. Traditional machine learning techniques use a lexical approach for feature extraction. In this paper, baseline algorithms are checked with the proposed work of the recurrent network, and results show that the method outperforms baseline methods by a significant improvement in terms of precision, recall, f-score, and accuracy.
Requirements Analysis for AI solutions : a study on how requirements analysis is executed when developing AI solutions

Requirements analysis is an essential part of the System Development Life Cycle (SDLC) in order to achieve success in a software development project. There are several methods, techniques and frame ...
EVALUATION OF LEARNING QUALITY AND STUDENT SATISFACTION DURING THE COVID-19 PANDEMIC

The paper represents the results of the study based on the students' questionnaire in the „Evaluation of the quality of remote education” survey. The current survey was conducted in order to identify the impact of the training format (remote in contrast with conventional learning) on both qualities of the studies and student satisfaction levels in the conditions imposed by the Covid-19 pandemic. The questioning of the students took place in 2 rounds, which has allowed us to observe the change in the quality of the studies from the moment in which the remote learning was introduced. When the restrictions were applied, there was a need for a quick transition of the teaching process from the conventional to the online format. In the past year, there was a large amount of knowledge that was gained in terms of online teaching, and thus there is need for further improvement and adaptation of our teaching capacities. To sum up, there are several actions that were formulated for the implementation of online training as a means of support for traditional learning formats.
Quantum dialogue based on quantum encryption with single photons in both polarization and spatial-modedegrees of freedom

In this paper, a novel information leakage resistant quantum dialogue (QD) protocol with single photons in both polarization and spatial-mode degrees of freedom is proposed, which utilizes quantum encryption technology to overcome the information leakage problem. In the proposed QD protocol, during the transmission process, the single photons in both polarization and spatial-mode degrees of freedom used for encoding two communicants' private classical bits are protected by both quantum encryption technology and decoy photon technology. For avoiding the information leakage problem, the initial states of the single photons in both polarization and spatial-mode degrees of freedom used for encoding two communicants' private classical bits are shared between two communicants through quantum key encryption and decryption. The information-theoretical efficiency of the proposed QD protocol is as high as 40%.
PERSONNEL MANAGEMENT IN THE QUALITY MANAGEMENT SYSTEM IN PRESCHOOL EDUCATIONAL ORGANIZATION

The relevance of the chosen topic is due to the change in the legal basis of the modern education system: the development and implementation of the Federal State Educational Standard for Preschool Education, the professional standard of the teacher, the professional standard of the educator, in connection with which there is a need to optimize the quality management system, as well as the personnel management system of the preschool educational organization. The quality management system (QMS) acts as one of the management mechanisms of a preschool educational organization, which actually ensures the quality of education through reasonable and competent management of various processes separately and the entire educational system as a whole. The quality management system in a preschool educational organization considers the entire technological chain of activities by processes. The process approach inherent in the international QMS standard clearly regulates research and analytical work, planning and quality control of educational services, internal audits, educational work, market analysis and assessment of customer satisfaction. The QMS in a preschool educational organization regulates such areas of activity of a preschool educational organization as personnel management and management of a professional educational environment. Personnel management in a quality management system is a complex and multifaceted process, the effectiveness of which depends on the involvement and satisfaction of personnel with the activities of the organization and their own activities; aimed at developing human resources and increasing the professional competence of teachers. Based on the analysis of the stages of creating a quality management system in an educational organization and correlating them with the main positions of the personnel management process, it is determined that personnel management in a preschool educational organization is based on the training and motivation of personnel.