Reviewerly/exHarmony huggingface dataset:
NON-VERBAL MEANS OF COMMUNICATION IN MODERN MEDIA

This paper shows the importance of non-verbal means of communication during a pandemic and highlights the threats and opportunities for the processes of transformation of communication channels against the background of quarantine measures. The growth of the role of network communication tools and a new impetus for the development of machine education and cloud technologies are noted. The modern classification of non-verbal means of communication in the theory of communications and special pedagogy is presented.
Artificial Intelligence (AI) as a Decision-Making Tool to Control Crisis Situations

Recent events have emphasised the critical nature of making key decisions with the support of innovative technologies to manage crises. This chapter will review pertinent literature on crisis management and existing categorizations or typologies before delving into crisis decision-making. Two distinct modes of decision-making are discussed: rational and intuitive decision-making. The following subsection conducts a review of articles in the literature on artificial intelligence and data-driven approaches, categorising them as rational and intuitive decision-making.
Assisted Interpretation of Geological Faults using Machine Learning and Cloud Computing: A Case Study in Pre-Salt environment

Assisted interpretation via calibration of models that use machine learning (ML) concepts, through the application of the convolutional neural network (CNN) technique, can significantly reduce the time spent by interpreters with faults/fractures interpretation in seismic data.The fact that model training in the method used requires relatively few labeled data is a major advantage and allows for a clear reduction of time in the interpretation step, mitigating interpreter bias.Furthermore, training of such models in a cloud environment ensures the necessary resources that might, otherwise, lack locally for testing, leading to excessive time spent in this training step.Still, training the model requires care in the labeling of the seismic data, keeping the consistency in the interpretation process.Eventually, the calibration process may require several trained models even for the same seismic data, which can be trained with labeled data interpreted at certain depths or characterized by different structural styles within the same exploratory area.Using this approach, we consider that the time reduction allowed us to finish the fault interpretation phase in 2 weeks, which, otherwise, would take approximately 1-2 months.
The role of online courses in the formation of a practice-oriented component of educational training programs for IT specialists

Problem and goal. The paper studies how increasing the number of IT degree graduates that are taught in a way that meets the requirements of employers could facilitate digital transformation of Russian economy. This study set out to develop web design teaching methods used in undergraduate training of IT bachelors in the context of blended learning that combines online courses with offline classes in order to make educational approach more practice-oriented. Methodology. The analysis of the research on various aspects of online courses and their usage in university education allows the researchers to construct the optimal model of blended learning in the regional university environment. The comparison of various learning platforms revealed that HTML Academy interactive courses are the best solution to teach web development as they meet the requirements of the professional community for student competencies. The study suggests web design learning methods of IT degree bachelors that are based on the blended learning approach with the help of HTML Academy online courses. It also describes how this methodology was applied in Nizhnevartovsk State University (the Faculty of Information Technology and Mathematics). The observational study was conducted to assess the effectiveness of the approach and whether it is able to increase the quality of universal and professional competencies of IT degree bachelors. Results. The author developed and applied web design teaching methods for IT degree students that meet the employers requirements. The methodology was applied to teach computer science and computer engineering degree and information systems and technologies degree students and was approved by independent experts from the professional community. Conclusion. Blended learning that includes online courses developed by leading experts from the professional community makes IT undergraduate training more practice-oriented, increases education quality, and meets the requirements of professional standards and employers.
Teaching STEM with the topic “Research on the process and manufacture of mini fire extinguisher equipment” to develop students' ability to apply knowledge and skills

The organization of STEM teaching has been attracting the attention of high schools, teachers and educational scientists in recent years. Through solving problems in STEM topics, students have the opportunity to develop core competencies and professional competencies. This article presents the process of designing and organizing STEM, Chemistry 11 themed teaching activities to develop students' ability to apply knowledge and skills. Designed and organized teaching STEM topic “Research on the process and manufacture of mini fire extinguisher equipment” and pedagogical experiment at Dong Quan High School. After collecting the results, processing and analyzing statistics, it was found that there is an improvement in the ability to apply knowledge and skills through the STEM topic of experimental teaching.
A Study on Policy Support for Korean Curriculum Application-Focus on Teacher‘s Expertise in korean Education-

이 연구의 목적은 공교육 내 한국어 교육의 현황을 살펴보고, 한국어 교육 전문성을 신장하기 위한 지원 방안을 모색하는 데 있다. 한국어 교육과정은 주로 다문화 정책학교와 연구학교에서 적용되고 있으나 교육기본법 또는 교육과정에서는 일반 학교에서도 학생·교사·학부모의 요청이 있을 경우에는 적용이 가능하다. 그러나 교육 현장에서는 한국어 교육과정을 적용하기 위한 교사 확보가 쉽지 않다. 공교육 내 한국어 교육 전문성 신장이 의무가 아니라 학교의 교육적 상황 또는 교사의 개인적 동기에 의존하고 있다는 점에서 정책적 지원이 시급하다. 공교육 내에서 한국어 교육 전문성을 신장하기 위해서는 다음의 정책적 지원 과정이 필요하다. 첫째, 교사 교육을 통해서 역량을 강화해야 한다. 이를 위해서는 한국어 교육 교육 프로그램을 상시 운영할 필요가 있다. 둘째, 학교급별 특성에 알맞게 지원해야 한다. 담임교사가 수업을 하는 초등학교와 교과 담당 교사가 수업을 하는 중·고등학교의 특성을 고려한 지원이 필요하다. 셋째, 한국어 교육 기관의 연계성을 강화해야 한다. 한국어 교육 유관기관의 역할을 강화하거나 전문적으로 역할을 부여할 필요가 있다. 한국어가 주류 언어인 한국에서 다문화 학생들이 어려움을 겪지 않고 살아가기 위해서는 무엇보다 언어적 문제를 해결하는 것이 필요한데, 이를 위해 교사 요인에 주목하여 정책적으로 지원해야 한다.The purpose of this study is to examine the current status of Korean language education in public education, to find out the policy support way for increasing teachers’ expertise in Korean education. Even though Koean curriculum is applied in multiple cultures pllicy school or research school mostly, according to the Fundamentals of Education Act and Korean curriculum, usual school is also possible to apply Korean curriculum when students, tachers, parents demand this. However, there are not enough teachers in public education to apply Korean language curriculum. Training in Korean language education is not mandatory but personal choice of each teachers. This means Korean Curriculum application urgently needs policy support. The following policy support is needed to develop Korean language education expertise. First, it is necessary to develop expertise as a program for teachers. Korean education program is operated ordinary to develop teachers’ expertise. Second, policy support should be different depending on the school level such as elementary school, middle and high school. Third, Connection of Korean language education institutions should be increased. It is necessary to increase roles of Korean education related organization or to provide professional roles. In order to live without inconvenience in Korea for multicultural students, language problems must be solved at first. For this, policy support for Korean curriculum application is needed focusing on teachers’ expertise.
Three Principles, 2 Sub-principles and One Magic Wand for Harm Minimization and Prevention of Technological Addiction in Human Children

Departing from the definition of techno-addiction in terms of technology-assisted behaviour with probable detrimental consequences, we propose following guidelines could direct the design of harm-reducing technologies: gradual use-constraining, circadianity, offline preferentiality, environmental referentiality and monotasking. These guidelines can serve as criteria according to which digital technologies can be evaluated. Also, these principles can direct design of post-smartphone digital technologies which will, hopefully, reduce the cognitive and physiological harm caused by unreflected deployment of current technologies. As a concrete example of such harm-reducing technologies, we provide first insights into the structure and function of a “magic wand”, a make-your-own-device digital artefact satisfying the above-mentioned guidelines.
Evaluation Method of Vocal Music Teaching Effect based on Computer-Aided Technology and BP Neural Network

The current teaching methods and the progress of education mode, to a large extent by computers and network technology push While the development of network multimedia technology, promote the development of the education theory and education system Along with the country to the attention of the digital campus construction, everyday teaching activities and teaching methods and teaching means increasingly update, in the field of education plays an extremely important role.In the course of daily music teaching, how to use multimedia technology to realize the visualization of music teaching; How to improve teaching quality and teaching efficiency; How to optimize and integrate the existing teaching resources, strengthen the management of daily business and teaching resources; How to establish effective teaching mode is the problem to be solved in the process of music teaching.
Responding to the Call: Information Systems Graduate Preparation and Job Needs

This study examined the perspectives on academic preparation and job skill needs of Information Systems program graduates from an Eastern state in the US. A historical review of the literature surrounding information systems skill requirements was conducted for this study, to provide an understanding of the changes in information systems over the past several decades. This historical look at the literature placed into perspective the fact that the field changes rapidly, causing the need for the information systems professional to also continuously change. The study employed a non- experimental, research design to allow a descriptive interpretation of the views of recent IS graduates. The results of the study revealed that a consensus exists regarding the perceptions of the skills needed for the information systems worker. However, graduates are concerned about how these skills are being delivered to develop competent information systems professionals for the work force.
Learning class predication distributions with noisy labels

In this paper, we propose a simple but very effective approach in the presence of noisy labels. The <i>memorization effects</i> of Deep Neural Networks (DNNs) manifests that they first memorize training data with clean labels and memorize data with noisy labels gradually. Based on this phenomenon, we build Class Prediction Distributions(CPD) for each sample in the initial stage of network training. On the basis of CPD, we use our clean data selection strategy to divide training data into confidently clean data and noisy data. In this selection strategy, we rank the maximum value of CPD. Top-ranked samples are more likely to be clean samples. Finally, noisy labels classification is successfully achieved by using semi-supervised learning. Experiments on benchmark datasets including MNIST, Cifar-10, Cifar-100 and Clothing1M demonstrate that our approach can achieve a competitive performance.
Proposed Methodology

The present chapter presents the proposed methodology for the design of General Type-2 Fuzzy Inference Systems for diagnosis problems.
The Application of Computer-Aided System in the Digital Teaching of Music Skills

The current teaching methods and the progress of education mode, to a large extent by computers and network technology push While the development of network multimedia technology, promote the development of the education theory and education system Along with the country to the attention of the digital campus construction, everyday teaching activities and teaching methods and teaching means increasingly update, in the field of education plays an extremely important role.In the course of daily music teaching, how to use multimedia technology to realize the visualization of music teaching; How to improve teaching quality and teaching efficiency; How to optimize and integrate the existing teaching resources, strengthen the management of daily business and teaching resources; How to establish effective teaching mode is the problem to be solved in the process of music teaching.
Cross-Cultural Specific of Self-differentiation at Russian and Vietnamese Young People

Adults' participation in physical activity is affected by a diverse range of personal, social, and environmental factors (Trost et al., 2002).Research has shown that perceived self-efficacy is mentioned as its strongest and most consistent determinant.Other areas have identified genetic factors that contribute to the propensity to be physically active (Bauman et al., 2012).Moreover, some researchers have found that functional perfectionism (Gotwals et al., 2012; Luszczyńska et al., 2015) and body esteem (Smith, 2005) correlate with physical activity.The purpose of this study was to verify if there is a direct association between women's physical activity and perfectionism or body esteem, and if the both are its predictors.
From the Editor

Editorial| June 01 2021 From the Editor Karen (Ren) vanMeenen Karen (Ren) vanMeenen Editor afterimageeditor@ucpress.edu Search for other works by this author on: This Site PubMed Google Scholar Afterimage (2021) 48 (2): 1–4. https://doi.org/10.1525/aft.2021.48.2.1 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Share Icon Share Facebook Twitter LinkedIn Email Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Karen (Ren) vanMeenen; From the Editor. Afterimage 1 June 2021; 48 (2): 1–4. doi: https://doi.org/10.1525/aft.2021.48.2.1 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search nav search search input Search input auto suggest search filter All ContentAfterimage Search Although there is hope on the horizon for a return to pre-pandemic normalcy in terms of people gathering together, many arts organizations continue to transform their previously in-person events into virtual experiences. This issue of Afterimage, Volume 48, no. 2 (June 2021), begins with coverage of just such an event, the Printed Matter Virtual Art Book Fair (PMVABF). Andrea Kohashi takes us on a tour through “a synergistic environment” of presentations, panels, performances, a marketplace, and other reenvisioned and newly conceived programming incorporating the work and talents of more than four hundred artists and publishers from forty-three countries. In addition to the sheer number of participants and the broad accessibility of a free online event, Kohashi writes that a focus on greater equity at the PMVABF was demonstrated “both through the diversity of content and subject matter in... © 2021 by The Regents of the University of California2021 You do not currently have access to this content.
Computational Processing of Varieties of Chinese: Comparable Corpus-Driven Approaches to Light Verb Variation

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Machine Translation between Similar Languages

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Lindström’s theorem, both syntax and semantics free

Abstract Lindström’s theorem characterizes first-order logic in terms of its essential model theoretic properties. One cannot gain expressive power extending first-order logic without losing at least one of compactness or downward Löwenheim–Skolem property. We cast this result in an abstract framework of institution theory, which does not assume any internal structure either for sentences or for models, so it is more general than the notion of abstract logic usually used in proofs of Lindström’s theorem; indeed, it can be said that institutional model theory is both syntax and semantics free. Our approach takes advantage of the methods of institutional model theory to provide a structured proof of Lindström’s theorem at a level of abstraction applicable to any logical system that is strong enough to describe its own concept of isomorphism and its own concept of elementary equivalence. We apply our results to some logical systems formalized as institutions and widely used in computer science practice.
Application of the smoothing methods to the PV power output data for the evaluation of the performance photovoltaic system

The analysis of the output data generated by large-scale photovoltaic power plant is of great importance not only from the scientific but also from the investment perspective, due to the possibility of system efficiency evaluation depending on many parameters related to the weather conditions, devices (PV modules, inverters) degradation or module soiling. Moreover, long-term system performance monitoring helps to detect system failures, and thus to evaluate the quality of the installation by system and array losses computations. The PV system performance evaluation requires the analysis of large sets of output data which is a complex and challenging task due to their dynamic behavior caused by a number of factors (irradiance, operating temperature, wind, partial shading by moving clouds). The purpose of this paper is the effectiveness analysis of the smoothing algorithms applied to the daily PV power output data collected during partly cloudy days. Such data is characterized by the highest power fluctuations. Three methods have been studied: locally weighted non-parametric regression (LOESS), moving average and Savitzky-Golay filtering. On the basis of the modified data of power production, the daily energy yields were computed and compared with the experimental results to find the smoothing technique of the highest accuracy. Relative mean error (%RE) was calculated. The results show an excellent agreement of the smoothed data with experimental measurements in terms of LOESS and Savitzky-Golay filtering.
Retraction: Vehicular ADHOC Network Based Safety Improvement (J. Phys.: Conf. Ser. 1916 012205)

This article (and all articles in the proceedings volume relating to the same conference) has been retracted by IOP Publishing following an extensive investigation in line with the COPE guidelines. This investigation has uncovered evidence of systematic manipulation of the publication process and considerable citation manipulation. IOP Publishing respectfully requests that readers consider all work within this volume potentially unreliable, as the volume has not been through a credible peer review process. IOP Publishing regrets that our usual quality checks did not identify these issues before publication, and have since put additional measures in place to try to prevent these issues from reoccurring. IOP Publishing wishes to credit anonymous whistleblowers and the Problematic Paper Screener [1] for bringing some of the above issues to our attention, prompting us to investigate further. [1] Cabanac G, Labbé C and Magazinov A 2021 arXiv: 2107.06751v1 Retraction published: 23 February 2022
Issues in reading comprehension: A case of an Indonesian bilingual dyslexic student

The complexity of a reading process often becomes an obstacle for students with dyslexia, particularly those studying in bilingual schools. To date, few studies discuss the Indonesian-English bilingual dyslexic student’s reading processes when they encounter reading texts in both languages they are acquiring. This study aimed to investigate the tendency of a dyslexic student’s reading comprehension in reading texts in the Indonesian and English language. This was done by comparing the reading comprehension of a second-grade Indonesian dyslexic participant (age=9) and four control participants. Two sets of reading instruments, written in the Indonesian language. The keywords used in each language were taken from participants’ textbooks. There were two types of sentences in the reading instrument; highly contextual sentences and sentences which is in accordance with participants’ background knowledge. After reading each sentence, they were asked to answer comprehension questions about each keyword. The scoring was based on their answer accuracy. The results were analyzed based on the reading comprehension theories proposed by Kintsch and Rawson (2005). The results showed that the two groups used different strategies to comprehend the text but the dyslexic participant's reading performance was lower than the control participants' performance in both languages. The results suggested that the dyslexic participant’s reliance on his background knowledge and lack of ability in retrieving appropriate keywords were the sources of his poor reading performance. Practices to improve skills in retrieving background knowledge and utilizing working memory span are suggested.
SabPay

In a world where every development, every step humanity takes towards the future is making mankind more dependent on technology. Everything in this world has adopted technology as their medium of functionality. This compatibility between nature and technology is only possible at such a large scale as technology is made by keeping nature as a reference. A computer is made by understanding the functionality of a brain just like the plane is made by looking at a bird. Same way, with the help of blockchain, SabPay is trying to define human body as a medium of payment. We are trying to trace back from blockchain technology and evolve it in a way that nature becomes a part of the technology. All of us are born with a unique identification, that is, our fingerprint. Not only this, but later with the help of science, we realized our retina is also a kind of unique ID. Keeping this in mind, getting back to technology, we live in an era where every country is trying to digitalize money. And SabPay is trying to help this change become device independent and give a new meaning to digitalization. SabPay is a blockchain-based digital wallet that has a single-point access to give ultimate secured control. In this work, we are proposing to build a device-independent payment system which will function using biometric authentication in association with blockchain. This is the need of the hour as different digital payment systems and their ways are outgrowing themselves. Moreover, this will be swifter, easy to use and consumer oriented.