Reviewerly/exHarmony huggingface dataset:
Challenges of Learning and Teaching Linguistics Online

This empirical research intends to shed light on the challenges of teaching and learning online courses in linguistics. The endeavor is based on the belief that research finds out the most appropriate pedagogy for successful online course in linguistics. Once the pedagogy of teaching the online course is designed, the educational technology provides suitable tools to facilitate interaction between online course participants. On this basis, this empirical is conducted to survey the teachers and students having participated in online course in linguistics to map out the impact of the strategies employed in the course and the technological tools exploited on their learning and experience in general. The data show that a hybrid method is the best option for a successful online linguistics course. Teachers and students need both gain learned knowledge in order to build a digital educational environment that allows for successful content exchange and communicative interaction.
PENGARUH DESAIN PRODUK DAN KUALITAS PRODUK TERHADAP KEPUASAN KONSUMEN PADA HONDA SCOOPY PADA ASTRA MOTOR

Satisfying consumer needs is the dream of every company. Apart from being an important factor for the company's survival, meeting consumer needs can increase its superiority in competition. Consumers who are satisfied with product design and product quality tend to buy back the product and reuse the product when the same need arises at a later date. This study aims to determine the effect of product design and product quality on consumer satisfaction at Honda Scoopy on Astra Motor. This study uses a quantitative approach with a survey method, while this type of research includes associative research. The population in this study are consumers who have used Honda Scoopy, the number of samples taken in this study were 100 respondents. The sample used in this study was purposive sampling. The research instrument used a questionnaire with a Likert scale. Data analysis used multiple linear regression, correlation test, determination test, partial test analysis with t test and f test (simultaneous). To test the effect between variables using SPSS (Statistical Service Product Solutions) version 23.00. The results based on the t test (partial) show that product design affects customer satisfaction, product quality affects product satisfaction, while product design and product quality simultaneously affect product satisfaction.
Blockchain based Public Distribution System

A country's Public Distribution System PDS plays a critical role in eradicating malnutrition and maintaining food quality. However non-uniform transaction records and lack of integration among stakeholders are hindering the effectiveness in this kind of method. The project proposes a computational model to investigate the feasibility of using blockchain to remove inefficiencies and trust in the method. We try to develop a blockchain-based approach that leverages smart contracts and a public blockchain network that will add transparency to the PDS system.
Practical Implementation of Image Processing based Vehicle Speed Monitoring System

As road accidents grab more attention these days proposed implementation gives a solution to the problem by determining the speed of an automobile. Unlike conventional hardware-based methods such as radar guns, the proposed work comprises the automobile pace discernment based on image processing which is a real-time application. Each vehicle in the recorded video is identified, and a bounding box is created on the same. Centroid coordinates of the identified vehicle are marked to track its movement. On the other hand, the proposed implementation takes into account the techniques such as the Gaussian mixture model for foreground detection, clustering based on the density of pixel for clustering the foreground detection points, and Kalman filter for tracking the targeted automobile. The outturn of the project is a displayed video of the pace of the respective automobile between the bounded distances of ten meters in a low traffic area.
MEC Fire Extinguisher / Muhammad Hafizul Fitri Abd Halim

MEC Fire Extinguisher, a self-inspect fire extinguisher, is the product Safety Fire Protection Sdn Bhd wants to develop. The purpose of providing MEC Fire Extinguisher to the society is as an effort to provide the customers with a product that is convenient. The MEC Fire Extinguisher equips with a transparent mirror made of acrylic glass and designs to give an easy application by using a push button switch and a safety trigger with a convenient handle and a glow in the dark feature. Safety Fire Protection Sdn Bhd target market are adults at the age of 20 years old and above with an income group of B40 and above. The company decided to make the big companies as their target customers, since some big companies prompt to involve in an accident that involving fire. The company also base of operation will be located at Kuala Lumpur. The MEC Fire Extinguisher is different from the ordinary fire extinguisher, since Safety Fire Protection Sdn Bhd has decided to place a transparent mirror made of acrylic glass that can withstand pressure and allow the customer to inspect their fire extinguisher themselves. The company also produces an easy-to-use fire extinguisher by adding a push button switch and also switches the safety pin with a safety trigger that gives the customer enjoyable experience using the fire extinguisher.
LibGuides: Data Management Plan (DMP): Create your Data Management Plan using DMPOnline

This guide serves as an introduction to Data Management Plans (DMPs), and will assist CSIR researchers in creating their own DMP. This section provides guidance regaridng the creation of a DMP when using the UK Digitlal Curation Centre's DMPOnline tool.
Progress in Smart Industrial Control based on Deep SCADA

The SCADA system, acronym of ‘’Supervising Control and Data Acquisition’’ tends to improve its accuracy in detecting faults. In that, it uses fault diagnosis models based mostly on probabilistic methods with close uncertainties. These models are based on a subjective evaluation by comparing the obtained signal to its reference. Therefore, SCADA precision fault detection varies depending on the operation environment, system design and analysis approach among other factors. The contribution of this research work is to propose a smart strategy that will enrich and enhance failure recognition in SCADA systems by integrating two additional models into the classic technique. The first model is a SOM map- reduce simple classifier and the second model is an evolutionary recurrent self-organizing neural filter for final decision-making. This integrated paradigm improves results accuracy and robustness against signal interference. The proposed idea involves best details around any remotely listed defect. This study has been conducted on Simulink-Matlab, through the analysis of multi signals emitted by sensors and received by corresponding antennas.
Media and Information Literacy as a Panacea for National Integration in an Era of Hate Speech in Nigeria

This paper examined hate speech as a threat to Nigeria’s national unity and national integration. It is designed to x-ray people’s understanding of what constitute hate and the role of Media and Information Literacy (MIL) in promoting national unity and integration in Nigeria. Qualitative research method was adopted in conducting the research. Data was collected using interview and descriptive method was used in the analysis. A total of 72 participants were purposively selected for the interview from the six geo-political zones in Nigeria. The findings show that majority of the respondents were not familiar with the concept of MIL; the study also showed that effective implementation of MIL competencies will not only curb the spread of hate speech in Nigeria but also ensure national unity and national integration. The paper concludes by recommending that there is need for sensitisation among Nigerians on the dangers of hate speech and the remedy provided by MIL in order to produce citizens who will harmoniously work together to build the country.
The Macro-Economics of Crypto-Currencies: Private Monies and Monetary Policy

Cryptocurrencies provide an important dimension of innovation to the evolution of the exchange medium we call money. There are now over 2,000 such currencies, and their potential and volume is growing. However, they will, collectively and in volume, create real problems for the monetary system of a country. Central banks, which are institutions tasked with providing monetary stability, are more essential than ever. Yet they will see their problems rise while the power of their traditional tools to control money supply and interest rates — such as reserve requirements and the discount rates — is declining. But the new digital technologies — such as distributed ledgers — and new approaches provide regulatory bodies also with new and potentially powerful tools. The task for central banks and policy makers is not to resist private digital currencies as troublesome irritants, but to create approaches to use, regulate, and incent them in shaping the macro-economic path of their economy. In the process, central banks will also issue their own digital currencies, and a small number of those will become global super-currencies.
Analysis of gamified software tools and platforms

The article provides an analysis of gamified software tools, taking into account the need to clarify the concept of “gamification” in the educational process and the features and principles of this concept. All types of software tools with the ability to gamify learning are divided into groups: game platforms, educational quests, training management services, and game development sites. Within each group the most common platforms in the foreign and domestic educational environment are considered. In the modern educational environment there is an increased interest in the use of digital games to improve the quality of learning, which determines the relevance of the proposed research on the analysis of software tools with the possibility of gamifying the educational process within the requirements of the state, society and education. The use of digital tools during the coronovirus pandemic has become a daily necessity in the lives of students. Gamified software tools facilitate the achievement of educational goals, thanks to the clarity of gamification reflect the capabilities, type of thinking, logical abilities of an individual student. The article analyzes several game platforms and educational quests, on the basis of which the method of gamification of the learning process will be further improved. The research methodology requires the study of information sources of psychological, pedagogical, methodological and technical orientation, the analysis of digital educational games of foreign and domestic authors recognized by the scientific community.
A Conceptual Analysis of Factors That Lead to Blockchain Technology Adoption in A Developing Country Context; Morocco.

The Blockchain is a relatively new concept that finds its source in the first cryptographic currency known as Bitcoin.The BC is essentially known as a decentralized ledger that records every transaction made in a network called a "block", which contains the encrypted data of the entire transaction history.It had a wider range of applications than the simple digital cryptographic platform.The Blockchain technology adoption depends on different factors.Several research papers and reports have focused on this technology over the past decade.In Morocco, many companies do not consider the importance of their information system strategic alignment, which makes the blockchain technology difficult to manage and implement.This paper provides a systematic literature review of the factors that lead to blockchain applications in multiple domains and captures the complex relationships between trust, risk, security and Blockchain technology adoption in the Moroccan context.Thus, this paper will also highlight the link between BC implementation and IS strategic alignment.
MENTAL HEALTH WEARING OF THE BASIC EDUCATION TEACHER INSIDE MATO GROSSO DO SUL

This paper discuss how the changes in school routine since the pandemic of COVID 19 have affected teachers mental health. Discuss the importance of preventive actions and promotion of the teacher's mental health, focusing on risk factors and their influences caused by the daily teaching, and the work overload that led to the psychological strain of the education teacher. basic. The method used to discuss the topic was qualitative, with questions regarding the employee's daily life. It is evident that teachers experience different forms of suffering when faced with unfavorable situations in their activities and develop coping strategies that alleviate suffering.
PREDIKSI JUMLAH PENONTON VIDEO YOUTUBE MENGGUNAKAN MODEL DEEP NEURAL NETWORK (DNN)

Youtube viewer becomes a major factor in a content creator's success. The problem is how can predict the number of viewers of a youtube content to determine the success of a content or make it a trending video topic. A machine or computer can predict the number of viewers using the ANN method. DNN is one of ANN models that can predict a dataset. This study compared the success rate in predicting the number of viewers of youtube content from Youtube API dataset. DNN model prediction results have a higher level of excellence compared to the use of traditional methods Linear Regression and Naive Bayes.
THE ROLE OF TEACHER IN USING TEXTBOOK

Abstract : This research is to give relevant information in teaching by using textbook in the classroom. Teacher uses the textbook as standardization in delivering the material. Textbook becomes the resource in teaching. there are some benefits why teacher uses textbook, there are the teacher needs standardization from the quality and quantity of the education, the teacher has to adapt the material which is available in the textbook, The teacher needs source to deliver the material to the students.This research method conducted by acquired literature study. In using the textbook the teacher should have some roles they are the roles of teacher are as a controller, organizer, assessor, prompter, resource, tutor, and observer. All the teacher roles above are to make adaption the material. The teacher should select the appropriate material, teacher should have strategy how the activity is done, teacher takes the material which is deeply needed by the students, teacher gives assessment to know how far the students understand in learning the material.
A Comparative Lens on Prominence Regulation and Its Implications for Media Pluralism. a Working Paper

Whilst the media freedom and pluralism implications of content moderation, takedowns, privatised censorship and down-ranking have been widely discussed in recent years, content curation practices like prioritisation, prominence, and discoverability started to raise concerns among policy makers only in the past few years. These are however, two sides of the same coin. The question of whether regulators or governments should create regimes of prominence online, or rather step back from the ongoing process of ad-hoc private construction of these regimes, raises complex questions at the intersection of freedom of expression, media freedom and media pluralism that demand our attention. Such questions are currently being addressed through different regulatory instruments in different countries, as we witnessed an acceleration of the institutionalisation of new prominence and discoverability regimes during the Covid-19 pandemic. Such developments are therefore leading towards an extremely fragmented regulatory landscape that is trying to solve shared challenges of platform governance systems. In this context, the objective of this paper is two-fold. Firstly, the research investigates the legislative measures and regulatory proposals used in different countries to regulate prominence and discoverability online; secondly, it questions the potential implications of such measures for media pluralism, understood as a plurality of content and information from sources independent of private and/or state-interference. To do so empirically, the paper applies a qualitative methodological framework with a document analysis of relevant literature and current legislative proposals and measures from a selected sample of countries. Based on this, this work discusses four approaches to prominence regulation, informed by the policy debates and legislative proposals of four countries, namely, Germany, the United Kingdom, Canada and China. These countries were purposively selected because they present the most mature proposals in this policy area, and they are used as illustrative national cases that are compared on two dimensions: 1) the criteria used to determine which content and services should be granted preferential treatment and 2) the types of services and devices that should comply with new prominence and/or discoverability obligations.
FAIR long term preservation of climate and Earth System Science data with a focus on reusability at the World Data Center for Climate (WDCC)

The full-featured and CoreTrustSeal certified long term archiving service LTA WDCC (World Data Centre for Climate) at DKRZ (German Climate Computing Center, Hamburg) offers long term preservation for datasets relevant for climate and Earth System research. The WDCC collects, stores, and disseminates Earth System data with a focus on climate simulation data and climate related data products. It has established itself as a staple infrastructure for the global climate modelling research community. Data preservation in LTA WDCC is preceded by a thorough technical quality control and provides intense data curation for storage periods longer than 10 years. During the preservation period, long term findability, searchability and reusability of the data are ensured. Long term findability of the curated data is enabled through the possibility of assigning DataCite DOI’s to archived datasets. The data undergo additional quality checks before being eligible for DOI assignment. This process is performed in close collaboration with the data providers. The focus of these quality checks is to ensure the unambigous (inter-)disciplinary reusability of the preserved datasets and includes checking for proper documentation, adherence to domain specific (meta)data standards, uncertainty analysis and cross-referencing. Only then can a high level of reusability of the data be achieved, justifying the involved effort. The perceived need for research data repositories to comply with the 2016-published FAIR Guiding Principles has motivated us to perform an even-handed and systematic self assessment of LTA WDCC FAIRness. Due to lack of a standardised evaluation framework, this assessment reflects our specific, albeit objective, interpretation of the principles. Our assessment, published on the DKRZ webpages, shows that the native philosophy behind DKRZ’s LTA WDCC service – especially the focus on reusability – reflects the FAIR Guiding Principles by design and even goes beyond them by ensuring very long-term (>10 years) preservation and therefore reusability of archived data.
AI Surveillance during Pandemics: Ethical Implementation Imperatives

Artificial intelligence surveillance can be used to diagnose individual cases, track the spread of COVID-19, and help provide care. The use of AI for surveillance purposes (such as detecting new COVID-19 cases and gathering data from healthy and ill individuals) in a pandemic raises multiple concerns ranging from privacy to discrimination to access to care. Luckily, there exist several frameworks that can help guide stakeholders, especially physicians but also AI developers and public health officials, as they navigate these treacherous shoals. While these frameworks were not explicitly designed for AI surveillance during a pandemic, they can be adapted to help address concerns regarding privacy, human rights, and due process and equality. In a time where the rapid implementation of all tools available is critical to ending a pandemic, physicians, public health officials, and technology companies should understand the criteria for the ethical implementation of AI surveillance.
Bookkeping approaches for crypto currencies

Purpose-In the New World order, we are experiencing a period in which we meet cryptocurrencies that are physically non-existent and can be transferred without public control, without the need for intermediaries.Everything that has financial value in essence is the subject of accounting.Since crypto currencies also have a financial value, they must be recorded, accounted and taxed.This study examines how crypto assets can be defined and reflected in accounting records in accordance with the definitions.Methodology-Since the concept of crypto money has started to enter commercial life in recent years, the literature resources are very limited, and there are many issues that have not yet become certain in terms of legislation, the approaches developed for the accounting of crypto currencies in this study are a suggestion.Findings-In the analysis made on the basis of current literature reviews, crypto currencies can be defined as money, other liquid assets, marketable securities, inventory or other intangible assets.The accounting transactions in accordance with these definitions are explained with the help of a hypothetical example. Conclusion-The opinion is that it would be appropriate to define crypto currencies as marketable securities in line with today's intensive usage area and acquisition purpose.
Witnesses of coherence and dimension from multiphoton indistinguishability tests

We experimentally demonstrate the validity of witness tests on suitable inter- ferometers designed for the purpose. Our findings confirm the effectiveness of this novel family of witness tests for capturing the quantum properties of high-dimensional systems.