Reviewerly/exHarmony huggingface dataset:
Penyusunan Dan Pengembangan Bahan Ajar Perpajakan Untuk SMA Islam Nabilah

The COVID-19 outbreak that hit Indonesia has caused the Indonesian government to issue new policies to carry out online learning and teaching activities. This new policy poses many difficulties, especially for students with the main constraints of learning media that are less interesting and difficult to understand. The preparation and development of teaching materials is aimed at SMA Islam Nabilah with the main goal of simplifying the teaching and learning process. The learning media developed consists of modules, slideshows, and animation videos for grade XI. The material presented refers to the basic competencies from the annual learning syllabus provided by SMA Islam Nabilah. The subject presented includes basic concepts of taxation such as understanding, functions, benefits, to tax rates and their calculations. With modules, slideshows, and video animation learning that has been developed will provide benefits as a reference in the learning process and can be used continuously by the teachers.
Impact and Role of Knowledge Management and Web 3.0 in Education Sector: An Empirical Study of University of Kashmir

The process by which knowledge is created, shared, and used is termed as knowledge management (KM) and it is all about changing the way everybody works. The KM is promoted as a significant factor for the organizational sustenance as well as for the upkeep of the worthwhile strength. Intensive discussions have been carried out regarding the importance of KM within our society since past so many years. As we are aware that different technologies have evolved over a period of time, thus reducing the time required for disseminating the knowledge and they are even allowing student autonomy, greater collaboration as well as improved academic efficiency. These applications have mushroomed and at the same time social media has even attracted considerable attention from students of different fields. The popularity of such technologies is influencing the means by which different libraries and other cultural heritage organization’s function. The continuous evolution of the innovative internet has unlocked unimaginable opportunities in web-based education. The present study aims to investigate the usage of Web 2.0 tools and the level of awareness among the Post Graduate (PG) students about Web 3.0 technologies at the University of Kashmir, situated in District Srinagar of Kashmir division. The present study has implemented a descriptive survey method. A self-designed questionnaire was used to gather the required information from 200 respondents. The results obtained showed that the PG students of the Kashmir University are accustomed with most of the tools of Web 2.0 like Instant Messaging, SNS, wikis, and blogs while, they are not acquainted with Podcasts, social bookmarks, or RSS feeds. The study also revealed that the most commonly used tools include WhatsApp, Facebook, YouTube as well as Wikis. The respondents specified interacting with friends and family, sharing ideas for their individual life and connections with new people as the topmost reasons for linking with social networking sites. It was found that the PG students are not fully aware about the latest Web 3.0 technologies and need more guidance in that very field. It is suggested that academic institutions should integrate units related to Web 2.0 as well as Web 3.0 tools into the courses in order to train the professionals of future by improving their proficiencies in order to be competent for the future challenges of using these tools.
The effect of Self-Regulation and Sociality on Computational Thinking in Early childhood

The purpose of this study is to select self-regulation and sociality as variables predicting computational thinking skills in order to examine the relationship and influence between them. The subjects of the study were 76 5-year-old infants from kindergartens and daycare centers in Gyeonggi-do Province. The candidates for participation in the study were selected through open recruitment with the cooperation of the institution. The computing power of infants was collected through one-by-one interviews, and the self-regulation and sociality of infants were collected through questionnaires for parents and teachers. In addition, the analysis of the collected data was performed using SPSS WIN 21.0 for descriptive statistics, correlation analysis, and multiple regression analysis. First, self-regulation, sociality, and computational thinking were all above medium value. Second, there was no statistically significant correlation between infant self-regulation and computational thinking, but only mathematical thinking, which was a sub-factor of computational thinking, and it showed no statistically significant influence on computational thinking. Third, there was a statistically significant static correlation between the sociality of infants and computational thinking, and the sociality of infants predicted computational thinking by 21%. In particular, the sociality of infants had been shown to have an impact on logical thinking and mathematical thinking, which were sub-factors of computational thinking. This study serves as a steppingstone for discussion to enhance the computational thinking capabilities of infants by identifying predictors that could explain the computational thinking capabilities of infants.
Region under Discussion for visual dialog.

Visual Dialog is assumed to require the dialog history to generate correct responses during a dialog. However, it is not clear from previous work how dialog history is needed for visual dialog. In this paper we define what it means for a visual question to require dialog history and we release a subset of the Guesswhat?! questions for which their dialog history completely changes their responses. We propose a novel interpretable representation that visually grounds dialog history: the Region under Discussion. It constrains the image’s spatial features according to a semantic representation of the history inspired by the information structure notion of Question under Discussion.We evaluate the architecture on task-specific multimodal models and the visual transformer model LXMERT.
Correction to: Anomalies in Punjabi Language WordNet: An IndoWordNet Evaluation

The original version of the book was inadvertently published with incorrect Gurmukhi (Panjabi) words in chapter “Anomalies in Punjabi Language WordNet: An IndoWordNet Evaluation". The correction chapter and the book have been updated with the change.
An Enhanced Hybrid Method based on Local and Frequency Feature Extraction for Image Copy Move Forgery Detection

Today, due to the advent of the powerful photo editing software packages, it has become relatively easy to create forgery images. Recognizing the correctness of digital images becomes important when those images are used as evidence in legal, forensic, industrial, and military applications. One of the most common ways to forge images is copy move forgery, in which one part of the image is copied and pasted in another part of the same image. So far, various methods have been proposed for detecting copy move forgery, but these methods are not able to detect copy move forgery with different challenges of noise, rotation, scale, and detection of symmetrical images with high accuracy. In this paper, an enhanced hybrid method based on local and frequency feature extraction is presented for image copy move forgery detection, which has a very high resistance to above challenges, both individually and simultaneously and has provided good identification accuracy. In this method, the combination of Discrete Wavelet Transform, Scale Invariant Feature Transform and Local Binary Pattern are used simultaneously. The forged area is chosen in such a way that at least both methods used in this proposed method have consensus about the forgery of that area. Various experiments and analyses on the MICC database show that the proposed methods, despite the above challenges, have reached the accuracy of 98.81% both separately and simultaneously, which shows significant improvement compared to other methods used in this field.
Knowledge Management Vis-à-Vis Adoption of Mobile Health Record Application for COVID Pandemic

The use of electronic records has been widely accepted as an effective means of enhancing healthcare delivery. Despite advances in medical technology, healthcare continues to present worldwide difficulties of affordability, complexity, and access [1, 2]. Healthcare companies have issues regarding processes and information incorporation. Information is fragmented and often contradictory. Knowledge management can allow healthcare providers to access and exchange information about patients in present COVID situation. Healthcare systems are increasingly adapting to growing clinical demands that can be enhanced with the improvement of knowledge of the patients and using knowledge-based technology. Knowledge-based technologies can successfully help pandemic agencies by encouraging universal information sharing and rapid real-time monitoring. Acceptance of consumers is one of the core elements in the growth of information management systems (IMS). Research suggests a model of the variables that affect the contribution of KMS repositories. The research utilizes the unified principle of adoption and usage of technology (UTAUT) to define variables that may have an effect on the decision to use mobile health records (mHRA) to make a contribution to information.
Smart Class in Big Data Era: Empirical Study on the Teaching of Public English in Higher Vocational College

Under the background of big data, education has developed into an essential part of modern education, so it is a new task entrusted by the times to explore the teaching ways of public English in higher vocational colleges. This paper combined the concept of smart class, based on the participation theory of Greg Kearsley, selected the freshman of non-English majors to participate in the experiment, through questionnaire survey, observation and other ways to analyze, found that using big data, reconstructing teaching procedures, building class to a certain extent can improve students' interest in English learning, and create an efficient , fast, and dynamic learning environment, thus further improve students' English learning ability and English application ability.
History, Present 2021 and Future of Cyber Attacks

Cyber-attacks are the attacks that target organizations and individuals either as a tool for other activities like identity theft, stalking, etc. or with a computer as a crime object like phishing, hacking, and spamming. Cyber-attacks are rapidly increasing and making cyber security a major concern currently. When launched successfully, cyber-attacks can cause massive damage to individuals and businesses. Hence, immediate response is mandatory to contain the situation in case cyber-attacks occur. In this paper, we will discuss the history, present and future of cyber-attacks and measures for organizations to prevent those attacks in future. The ever-elusive strategies and suspicious nature of criminals should also be identified. We have outlined some of the practices to prevent those attacks while recommending incidence response measures and updates in enterprises.
Who Is Responsible for Cybersecurity?

The question “Who is responsible for cybersecurity?” addresses how cyber risk prevention and resilience is not a one-person show: it takes a village to reduce organizational cyber risk. A case study opens the chapter by examining the immense hack of Equifax and the company’s poor cyber leadership during and after the data breach. It details the importance of strong leadership and educates readers on achieving accountable leadership for cyber risk. Afterward, it teaches readers about an organization’s enterprise information security policy and outlines the components of a cybersecurity culture. Topics include transparency, accountability, appropriate system knowledge, compliance with policy and procedure, and formal communication channels. The chapter guides executives in budgeting and allocating resources to cyber risk management and explains third-party agreements for cyber risk. It also details the importance of cyber talent management. The chapter concludes with Rosenbach’s Embedded Endurance strategy experience with cyber risk leadership at the U.S. Department of Défense.
Text Detoxification using Large Pre-trained Neural Models

We present two novel unsupervised methods for eliminating toxicity in text. Our first method combines two recent ideas: (1) guidance of the generation process with small style-conditional language models and (2) use of paraphrasing models to perform style transfer. We use a well-performing paraphraser guided by style-trained language models to keep the text content and remove toxicity. Our second method uses BERT to replace toxic words with their non-offensive synonyms. We make the method more flexible by enabling BERT to replace mask tokens with a variable number of words. Finally, we present the first large-scale comparative study of style transfer models on the task of toxicity removal. We compare our models with a number of methods for style transfer. The models are evaluated in a reference-free way using a combination of unsupervised style transfer metrics. Both methods we suggest yield new SOTA results.
Horizon Published Desktops

In the previous chapter, we discussed how Horizon can deliver applications by taking advantage of RDSH technology to deliver published applications to end users with the Horizon Apps solution. Now we are going to look at how to deliver published desktop sessions.
Herramientas de investigación formativa en educación modalidad virtual de estudiantes de la Universidad Técnica de Babahoyo extensión Quevedo

This research refers to the use of virtual tools for formative research work in university students, the relationship between the so-called digital natives (students born with digital tendencies) and digital migrants (teachers) who have been developing digital skills in their actions As a teacher, the present work sought to identify processes for digital advice and interaction on formative research in the process of graduating students from tourism and social communication careers at the Technical University of Babahoyo Extension Quevedo. Under a population of 85 students and with an exploratory and qualitative research approach, it consisted of three stages: a review of the literature oriented on the use of Web 2.0 as a tool to support research processes and the use of the institutional platform SAI, the second was an online survey applied to graduate university students to find out their opinions on the incorporation and use of digital platforms in the academic day, and finally the pilot proposal in the creation of the SAI Platform to guide a group of students to carry out their final degree work projects.
Gluing Papers to Computers: How QR-and Bar-codes Enable Hybrid Information Systems

Patient health information management in resource poor environments is largely paper-centric, relying on the use of paper registers. A notorious problem with paper registers is the difficulty of finding clients’ records when they show up at a health facility for a subsequent visit. Another inefficiency associated with paper register is that if a health worker opts to create a new record, after not finding an existing one, that client’s history is lost. Where attempts have been made to completely shift to digital platforms, it has been observed that such systems may need to be augmented with paper, especially where network connectivity and electricity are intermittent. This research sought to find out how the use of QR codes implemented on an Android app can make the transition between paper and IT more seamless for community health workers (CHW) in a resource poor environment. Tests demonstrate gains in efficiency by reducing the time searching records from paper registers and reducing time typing clients’ names in computer systems. Also, the QR-code reader avoided creating duplicate client records or registering data for the wrong person.
Recognition of noisy biological signals using feature extraction and neural network methods

In this paper, we study the possibilities of using neural networks and machine learning algorithms for solving problems of recognition and classification of signals with noise using the example of signals of extracellular electric potential. Experimental data were selected containing signals from 3 closely spaced neurons and a comparison of different variants of their recognition was carried out. Also, a method for identifying characteristic features using multiresolution analysis based on the discrete wavelet transform was demonstrated for EEG signals of people, young and age group without chronic diseases, when performing tasks of hand clenching.
The European continental crust through detrital minerals

To analyse the evolution of the continental crust one requires a representative sample set of crustal materials, such as river sediments.We collected sediments from the mouths of 15 large river systems in Europe for a diverse multi-proxy study.In a first step we present U-Pb, Hf, and O isotope characteristics in their zircons to assess their age and the crustal evolution they reflect.Detrital zircons from European rivers yield ages ranging from Cenozoic to Archean, with several age clusters that can be linked to different orogenic cycles and the formation of supercontinents.Unexpected young zircons of 0.2-10 Ma were found in rivers draining the French Massif Central.They are juvenile and with little upper crustal contamination.Other Cenozoic detrital zircons are in the 25-40 Ma range and were found in the Seine, Rhine, Po and Danube rivers.Samples from all rivers have a main age group at 270-370 Ma, associated with the Variscan orogen, which appears to have been the largest episode of crustal reworking in Europe.Permian post-Variscan detrital zircons were found only in the Po and Glomma river basins.Those from the Po basin show significant crustal contamination, whereas the Scandinavian Permian zircons are more radiogenic and mantlelike.Other important age clusters are 400-490 Ma (especially in the Po, Danube, Rhine, Rhone, and Seine), and 540-650 Ma (particularly important in the Iberian Peninsula and France).Detrital zircons of 930-1170 Ma and 1400-1700 Ma are an important component in the Scandinavian Glomma river.They can also be found in mainland rivers draining into the Baltic and North Sea, likely due to the transport of sediments during the last glaciation.The oldest detrital zircons scatter between ca.1800 and 3000 Ma and are mainly found in the southern Iberian Peninsula and in the Oder, Seine, and Rhone rivers.We will also present our preliminary results on combining U-Pb dating with trace-element fingerprinting of other robust common detrital minerals, such as rutile, apatite, and titanite.As these minerals can be formed/reset at different P-T conditions than zircon, they can be used to evaluate potential biases in the detrital zircon record.
The Specifics of Holding an International Scientific Conference on the Basis of the National Research University Moscow Power Engineering Institute under Pandemic Conditions in the Online Format

The specifics of holding an international scientific conference under pandemic conditions in the online format, and the importance of the conference topic are described. The following opportunities are pointed out as advantages of the online format: the possibility to hold a mass event during the pandemic, participation of both Russian and foreign speakers; recording the conference meetings with subsequently distributing the records to conference participants and interested persons, and the most comfortable interaction of participant scientists. The most significant drawback of holding a conference in this format is insufficient awareness about operation of the Cisco Webex computer program.
Toward dense QCD in quantum computers

Lattice QCD at nonzero baryon density is a big challenge in hadron physics.In this presentation, I discuss the quantum computation of lattice gauge theory at nonzero density.I show some benchmark results of the Schwinger model obtained by the quantum adiabatic algorithm and the quantum variational algorithm.
Provocations and possibilities in professional practice, education, and learning

This Special Issue of Studies in Continuing Education presents a selection of papers originally presented at the fourth Professional Practice, Education and Learning (ProPEL) conference, hosted by ...
A Comparison Between the History Textbooks for Secondary Vocational Schools and General High Schools in China: Descriptions of Korean History

The Ministry of Education of the People’s Republic of China in February 2020 published the "standards for ideological and political education, language, and history in secondary vocational schools," and announced that history will be the first one among these three subjects to become a compulsory part of secondary vocational education, starting from the fall of 2020. The Ministry asserted that the ultimate goal of such attempt is to promote the stability and lasting reign of the Communist Party of China and the Chinese state, emphasizing that history textbooks hold a great deal of strategic significance for the great revival of the Chinese nation. This paper examines the "standards for history education in secondary vocational schools (2020)," and reviews issues associated with the descriptions of Korean history in the current history textbooks of secondary vocational schools, History of China and World History. This study also analyzes how these textbooks describe Korean history, in comparison to The Outline of Chinese and Foreign History (中外歷史綱要), the standard history textbook for general high schools which was published after the country adopted government-issued textbooks when President Xi Jinping began his second term in office. It can be said that Korea accounts for larger shares in History of China and World History for secondary vocational schools, compared to the history textbook used by general high schools, of which descriptions of Korea have been significantly reduced since 2001 when China standardized its textbooks. Further, unlike The Outline of Chinese and Foreign History, these two textbooks have sections dedicated to "ancient Joseon (Korea)," put "Joseon (Korea)" before Japan, and include positive narratives about cultural exchanges between Korea and China. It is worth noting that the textbooks suggest that ancient Korea made a significant contribution to cultural development and that Korean culture was conveyed to China. These run counter to the general trend observed in the Chinese academia, in which research on cultural history―focused on China-centered cultural diffusion― is increasing rapidly and the research outcomes are being incorporated into the textbooks. The Outline of Chinese and Foreign History displays an inherent inconsistency in some parts, and different perceptions of history that do not match those of the country’s previous textbooks. Such a gap is expected to serve as an example that can clearly show how China''s historical perception has changed after President Xi Jinping took power and the country shifted to government-approved textbooks.