Reviewerly/exHarmony huggingface dataset:
The Change of lifelong educators’ role and perspective in the absence of face-to-face education

Objectives The purpose of this study is to explore lifelong educators’ dilemma and change of role and perspective in the era of covid-19 that has caused the absence of face-to-face education in the field of lifelong education.&#x0D; Methods To achieve this purpose, researchers adopted the case study methods. Researchers analyzed lifelong educators’ realities and dilemma in the recent rapid environmental change and explored how they responded to them.&#x0D; Results As results, researchers found that lifelong educators faced dilemma related with managing programs, using educational methods and developing educational capacities. Facing dilemma, they tried to investigate and apply alternatives on the field of lifelong education. During these processes, lifelong educators changed and reestablished their roles and perspectives related with lifelong education.&#x0D; Conclusions Based on these findings, researchers discussed the future direction of lifelong education.&#x0D; &#x0D;
A Comparative Study on the Educational Principles of Social Function-Centered Social Educational Thinkers

There is a continuing academic discussion to recognize the concept of social education as a more unique concept of 'social function'. Social function-centered social education is related to providing educational solutions to social problems and focuses on changing social situations through education. The purpose of this study is to understand the practical principles of social function-centered social education and to analyze its conceptual meaning. This study explores and compares the ideas of Pestalozzi, Grundtvig, Lindeman, Freire, representative social education thinkers who established and practiced social function-centered social education, and identified common points and differences, and explored the integrated practice principles and conceptual meanings of social function-centered social education. The practical principles of social function-centered social education were embodied in the aspects of purpose, contents, process, method, strategy, subject, and social educator. Based on this, the conceptual level and type of social education practice were discussed as the possibility of social change through education, the relationship between educational value and social value, the relationship between education equality and social equality, the relationship between educators and learners, and the relationship between consciousness and organization.&#x0D;
Editorial on the special issue of MMAS for ICNAAM 2019

Mathematical Methods in the Applied SciencesEarly View EDITORIAL Editorial on the special issue of MMAS for ICNAAM 2019 Theodore E. Simos, Corresponding Author Theodore E. Simos tsimos.conf@gmail.com Laboratory of Inter-Disciplinary Problems of Energy Production, Ulyanovsk State Technical University, Ulyanovsk, Russia Department of Medical Research, China Medical University Hospital, China Medical University, Taichung City, Taiwan Department of Civil Engineering, Section of Mathematics, Democritus University of Thrace, Xanthi, Greece Correspondence Prof. Theodore E. Simos, Laboratory of Inter-Disciplinary Problems of Energy Production, Ulyanovsk State Technical University, 32 Severny Venetz st., Ulyanovsk 432027, Russia. Email: tsimos.conf@gmail.comSearch for more papers by this author Theodore E. Simos, Corresponding Author Theodore E. Simos tsimos.conf@gmail.com Laboratory of Inter-Disciplinary Problems of Energy Production, Ulyanovsk State Technical University, Ulyanovsk, Russia Department of Medical Research, China Medical University Hospital, China Medical University, Taichung City, Taiwan Department of Civil Engineering, Section of Mathematics, Democritus University of Thrace, Xanthi, Greece Correspondence Prof. Theodore E. Simos, Laboratory of Inter-Disciplinary Problems of Energy Production, Ulyanovsk State Technical University, 32 Severny Venetz st., Ulyanovsk 432027, Russia. Email: tsimos.conf@gmail.comSearch for more papers by this author First published: 04 July 2022 https://doi.org/10.1002/mma.8553Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Early ViewOnline Version of Record before inclusion in an issue RelatedInformation
Accuracy and Convergence Analysis of Software Tools for Solar Energy Assessment

The main purpose of this article is to evaluate how accurate the solar energy forecasting software works, taking as references the measurements of energy levels recorded in different locations. The novelty of the article consists in evaluating the software delivery results according to the settings of the parameter simulation: time steps, integrations methods, losses due to deviation from standard solar spectrum, diffuse irradiation models, irradiation models on the inclined plane and others. The analytical investigations are carried out with the help of two EU certified software (PV-SOL and PV-GIS) dedicated to the solar forecast [1]. The experimental investigations, used for validation, are carried out at two different sites (West- and East-EU) on similar on-grid power conversion circuits. In detail, the behavior of both solar energy production systems is analyzed, by counting the amounts of generated energy over various sampling periods (day, month, year). Based on the mentioned comparison, conclusions regarding the parameter sensitivity and improvement of the estimated energy are drawn.
A case study of online PBL class to improve the competency of pre-service early childhood teachers

Objectives The purpose of this study was to show a case of qualitatively exploring the process and results of online PBL class to enhance competency of pre-service early childhood teachers.&#x0D; Methods The online PBL applied the early childhood education theory class was conducted for 24 third-year students in the department of early childhood education at a 4-year university in Chungcheong Province. Online lessons were conducted for 14 weeks out of 15 weeks excluding the mid-term evaluation period, and PBL was applied over 10 weeks from the 5th week to the 14th week. In order to explore experiences of pre-service early childhood teachers, class recording videos, individual journals, group interview transcripts, evaluation papers were collected, and the contents were analyzed according to the subject.&#x0D; Results In the online PBL class, pre-service early childhood teachers repeated individual and cooperative learning, continued reflection, and went through the process of designing and implementing online mock classes, in order to solve a practical problem. In results, they improved competencies for curriculum and classroom management, understanding children and supporting plays, problem solving and communication, and using digital.&#x0D; Conclusions The online PBL class was effective in enhancing competencies needed for pre-service early childhood teachers. In particular, the digital competency promoted through the full non-face-to-face class will help them prepare for the future educational environment.&#x0D; &#x0D;
PEDAGOGICALLY DIRECTED THINKING AND THE TIME FACTOR

The article examines the teacher's thinking as a pedagogical category, the need to make changes related to the level of perception of information and the change in the worldview of different generations and the factors of the formation of professional pedagogical thinking capable of managing pedagogical time. The comparison of fixation on stereotypes that inhibit the use of new technologies in the educational process, and fixation on developing and active methods of "modeling success", substantiation of the need for significant revolutionary changes in teaching (not teaching), formed through the breakthrough of creative, innovative thought – the formation of new pedagogical thinking.
Multilevel image thresholding based on Rao algorithms and Kapur’s Entropy

In the fields of computer vision and digital image processing, image segmentation denotes a process whereby an image is segmented into multiple regions. Image segmentation based on multilevel thresholding has received significant attention in recent literature. In this paper, a multilevel thresholding approach based on three different Rao algorithms and Kapur’s entropy is investigated. The performance of the considered thresholding methods is evaluated on a dataset of 10 standard benchmark images using the mean of objective function values, the standard deviation of objective function values, and the best objective function value obtained over a fixed number of independent runs. The experimental results demonstrate the effectiveness of the multilevel thresholding approach based on Rao algorithms and Kapur’s entropy.
Short-Term Load Forecasting Algorithm for Lunar New Year’s Holidays Using the Relative Coefficient Method

An algorithm to improve the accuracy of short-term load forecasting(STLF) for the Lunar New Year’s Holidays is proposed. The proposed algorithm can integrate the impact of temperature and behind-the-meter(BTM) solar PV generation on the load for the Lunar New Year’s Holidays. The hourly loads for the Lunar New Year’s Holidays are forecasted using the relative coefficient method. The sensitivity of load to temperature is calculated, and the corrected loads using the calculated sensitivity are used to load forecast. In addition, the impact of BTM solar PV generation is integrated into the load forecast for the Lunar New Year’s Holidays using the reconstituted load method. Test results of load forecasts for the Lunar New Year’s Holidays from 2016 to 2020 have shown that the accuracy of load forecasting improves when the impacts of temperature and BTM solar PV generation are systematically considered in load forecasting.
Less is More: Compression of Deep Neural Networks for adaptation in photonic FPGA circuits

Photonic circuits pave the way to ultrafast computing and real-time inference of applications with paramount importance, such as imaging flow cytometry (IFC). However, current implementations exhibit inherent restrictions that consequently diminish the neural networks (NNs) complexity that can be supported.
Graphene device monitors blood pressure

A new blood pressure–monitoring device made from graphene could help people keep better track of their cardiovascular health. The array of stick-on graphene sensors, dubbed graphene electronic tattoos, can measure blood pressure continuously over the course of hours. Data from this device would give doctors a better overall picture of blood pressure than using measurements from a blood pressure cuff taken a few times a day. “Blood pressure provides a holistic view of our cardiovascular system,” says Roozbeh Jafari, a biomedical engineer at Texas A&M University who led the development of the new device with Deji Akinwande of the University of Texas at Austin. By monitoring blood pressure over the course of hours rather than once or twice daily, health-care professionals can eliminate noise in their data—such as spikes caused by the stress of a doctor’s visit. Also, Jafari says, the graphene device is thin and weightless. It doesn’t squeeze
On the naming of innovation districts

Name plays a fundamental role in defining and differentiating a company within a category. In this paper we identify how the leaders of 7 innovation districts (22@Barcelona, Ann Arbor Spark, EECi, Porto Digital, Ruta N – Medellín, SK-Skolkovo and TusPark) understand the construction of the names of their innovation districts. We take an inductive approach utilizing two types of data: exploring the innovation district directors' understanding through direct semi-structured interviews and analyzing secondary data consisting of website and brochures. We show how innovation district leaders use more than one classification name for their organization and that these names either tend towards a more strategic or institutional posture. We contribute by extending existing naming theory to include innovation districts, a complex organization composed by actors of the Triple Helix. We also contribute by providing managerial guidance to assist in understanding the importance of the role of their organization's name in long-term positioning.
A study on the Determinants of lifelong Learning Center Operating System: Focus on Gwangmyeong City Lifelong Learning Center

This study tries to find out the determinants of the lifelong learning centers operating system. As related policies spread nationwide, the role of lifelong learning centers is growing. Its role is to perform various functions based on the Lifelong Education Act, but it is difficult to establish an appropriate operating system for the Lifelong Learning Center according to the size and situation of each city. Therefore, this study aims to develop the determinant factors so that local governments can determine the operating system of lifelong learning centers in consideration of local conditions. To this end, Delphi surveys and AHP analysis were conducted on experts in related fields, focusing on the case of Gwangmyeong-city. According to the research results, two areas and ten sub-items were derived as indicators for judging the lifelong learning center operation system. Detailed indicators consist of the areas of lifelong learning city performance, including their delivery system, citizen participation system, civic competency improvement, drive, and the area of sustainable management, including expertise, cooperative governance, publicness, autonomy, employment stability, and flexibility. In order to utilize the analyzed determinants, the importance of each item was analyzed and the weight was obtained. In general, the weight of lifelong learning city performance areas was high, indicating that it was more important to establish a lifelong education system throughout the city so that all citizens could participate in learning than the management of lifelong learning centers. As factors derived from the study, it was confirmed that it is important for the Lifelong Learning Center, which is a central institution and think tank for lifelong learning policy development and implementation, to implement collection of professional manpower, develop and operate civic-led education, and to practice local networks. Therefore, this study presents criteria for determining whether these roles can be performed well for each existing operating system of direct management, private consignment, and foundation.&#x0D;
Bird Video Summarization Using Pre-trained CNN Model and Deep Learning

In the past few years, the forms of data have changed drastically from the text formats to images and today, most of the data are available in the video format. With this, there is a huge demand in the techniques that can provide the overall summary of the video. In this paper, we present the summary of birds that are identified from the large datasets using convolutional neural network (CNN). CNN is one of the best image processing and video processing model. The CNN model that we have used for the task is pre-trained AlexNet. The paper clearly proves that the work proposed recognizes the various kinds of birds from the inputted video with accuracy level ranging between 85 and 99%. At last, we provide the overall summary in terms of start time and end time of existence of each bird in the video.
A Low-complexity Neural Network for Compressed Video Post-processing in HEVC

In this work, we propose a low-complexity convolution neural network for compressed video post-processing. The main process can be expressed as follows:
<i>Fuser</i>. Harmonix. Windows PC, Nintendo Switch, PlayStation 4, and Xbox One. 2020

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Datafication – economization and monetization of data

The chapter describes datafication and its impact on financial corporations. Datafication is an exponentially growing process of creating data streams and big data sets representing various elements of the real world. Unprecedented access to information combined with automated data analysis methods opens new areas of the financial market, leads to the development of innovative products and reduces operational costs. A data economy emerges, shaped by law, international corporations and governments. Data become an economic resource, the deciding factor in obtaining competitive advantage. Financial corporations need to transform their business models to adapt and use this resource, which leads to tensions and conflicts. The chapter outlines the opportunities and challenges facing the financial sector, government strategies and potential scenarios for the future.
A Comparison of Item Selection Methods Using Response Times in Computerized Adaptive Testing

This study aimed to investigate the performance of item selection methods using response times (RT) in terms of the correlations between ability and test speededness and test lengths for computerized adaptive testing with fixed test time. MI, which does not use RT information, seems to estimate the ability parameters more accurately under a lenient time limit and a zero correlation between ability and test speededness condition. However, for MIT, which incorporates RT information in estimation and item selection procedures, the accuracy of ability estimates can be improved compared to MI and MITS as the correlation between ability and test speededness increases and the test length decreases. When item exposure control was applied, the measurement precision would be decreased. Compared to MI, MIT yielded a higher proportion of the number of items for a given test length. With relaxed limits in testing time, the effects of item exposure control on test efficiency would be decreased. Item selection with item exposure control can enhance item pool usage. After applying item exposure control, no significant differences could be expected in the item pool usage.
Digital oil production: priority areas of development

The modern oil industry is the most technologized, its production and management activities are associated with the collection, storage, processing and transmission of large amounts of data. The purpose of the research conducted by the author is to analyze the role of digital technologies in the activities of vertically integrated oil companies. The object of research is the use of innovative digital technologies in oil production. The subject of the study is the priority directions of the development of digital technologies in oil production. The research methodology includes various general scientific and private scientific methods for assessing the role of digital technologies used in oil production in the country and identifying priority areas for their development. The results of the study. This article presents an assessment of the use of digital technologies in oil production in modern conditions. The results obtained can be used by economists to provide a predictive assessment of the use of digital technologies in the activities of the vertically integrated oil companies, as well as to conduct scientific research on the stated problems.
Analysis the Chinese Synonym ‘一定’ and ‘肯定’ on Based of Corpus

This paper based on Teaching Chinese as a foreign language, using the statistical functions and various retrieval methods provided by BCC corpus, explores specific methods to distinguish the characteristics of synonyms ‘一定’ and ‘肯定’ in word collocation and semantic rhyme,word frequency distribution, so as to help use synonyms appropriately and give better play to the function of Chinese communication. The Corpus linguistics mainly investigates the differences of word frequency distribution of synonyms in different registers. Count the significance of the co-occurrence of keywords and collocations, and distinguish synonyms. At the same time, we observe the collocation characteristics of synonyms in the search results, and reveal the discrimination characteristics of synonyms, such as class connection, word collocation and semantic rhyme. Thanks to the huge amount of anticipation provided by the corpus, the corpus can index the rich usage and context of synonym groups, so that researchers can compare the semantic and pragmatic differences between synonyms and describe synonyms objectively and comprehensively.
Key technologies in the digital transformation of finance

The digital transformation widespread in the economy has forced both the financial sector and finance departments to introduce far-reaching technological, organizational and even cultural changes. These changes primarily meet the needs of customers who want to use services and purchase financial products more conveniently than before, in a shorter time, often bypassing personal contact, but still with a high level of security. Meeting these requirements induces the need to build a new work environment that will provide solutions for processes automation and routine activities, but at the same time will support the decision-making process to a greater extent than before, guaranteeing flexibility, adaptability, speed and high security of tasks performed. This chapter presents the most important technologies and examples of solutions used in this area, indicating the most important development trends, focused on applications in the finance.
A Novel Hybrid Translator for Gujarati to Interlingual English MTS for Personage Idioms

Gujarat is one of the states in the western part of India, and the Gujarati language is the official language of Gujarat. The Gujarati language is more than 700 years old and is spoken by more than 55 million people around the world. A machine translation system (MTS) is needed for the communication between people knowing different languages. Idioms are used in almost all the languages. An idiom is a phrase or an expression whose meaning does not necessarily relate to the literal meaning of its individual words. The idiom generally means something different than what is directly conveyed by its individual words. Translation of idioms for any language, as with Gujarati idioms, into any other language is a challenging task. All existing MTS including Google Translate and Microsoft Bing fail to translate Gujarati idioms suitably. In the current paper, a particular category of Gujarati idioms, called the personage idioms, has been treated for detection from the input text and translation into the English language. We have deployed a dictionary-based algorithm and context-based search, respectively, for idioms having one and multiple meanings. This is a first of its kind work in the world. From a broad technical view point, this is an application of Gujarati to interlingual translation for the MTS sub-domain of natural language processing (NLP). The interlingual language is considered to be English for the present research work.
Jointly Training of Binary 3D CNN Features for Action Recognition

This paper presents a novel method to train the quantized feature with the action recognition task jointly. A quantization and inverse-quantization layers are introduced to the 3D CNN. The quantization and the action recognition loss functions are minimized jointly. That is, the method aims to learn the feature not only to improve action recognition accuracy but also reduce the information loss of the quantization. The framework is shown in Fig. (1).