Reviewerly/exHarmony huggingface dataset:
Correcting Pseudo Labels with Label Distribution for Unsupervised Domain Adaptive Vulnerable Plaque Detection

Pseudo-label-based unsupervised domain adaptation (UDA) has increasingly gained interest in medical image analysis, aiming to solve the problem of performance degradation of deep neural networks when dealing with unseen data. Although it has achieved great success, it still faced two significant challenges: improving pseudo labels’ precision and mitigating the effects caused by noisy pseudo labels. To solve these problems, we propose a novel UDA framework based on label distribution learning, where the problem is formulated as noise label correcting and can be solved by converting a fixed categorical value (pseudo labels on target data) to a distribution and iteratively update both network parameters and label distribution to correct noisy pseudo labels, and then these labels are used to re-train the model. We have extensively evaluated our framework with vulnerable plaques detection between two IVOCT datasets. Experimental results show that our UDA framework is effective in improving the detection performance of unlabeled target images.
ARTISTIC AND AESTHETIC OLDER PRESCHOOLERS’ DEVELOPMENT IN SUPPLEMENTARY EDUCATION

The one of the main tasks in modern education system is the development of child's personality. In the context of preschool education, the development of a child's personality is carried out during the organization of children's visual activities. It helps to develop preschoolers’ artistic education and becomes one of the most essential conditions for the implementation of state standards. Supplementary education in preschool institutions plays an important role in the artistic and aesthetic development. It gives an opportunity to identify and develop the children’s creative abilities.
A Study on Grammar Description for the Combined Form of ‘-eoya hada/doeda' and ‘-eoss-' in Korean Language Education

This study explains the meaning and usage of ‘-eoya hada/doeda’ based on previous corpus analysis studies and various usage examples and presents grammar descriptions related to the tense expression of ‘-eoya hada/ doeda’ in Korean language education. ‘-eoya hada’ is an expression of the speaker’s objective recognition of the necessity of a certain action or state, and ‘-eoya doeda'' is an expression of the speaker’s subjective recognition of the necessity of a certain action or state. Expressions related to the tense of ''-eoya hada/doeda'' are divided into 4 types according to the combination of ''-eoss-''. ''-eoya hada/doeda'' is a present tense form that indicates that an action or state is necessary in the present or near future. ‘-eoya haessda/dwaessda’, -eosseoya haessda/dwaessda’ and ‘-eosseoya hada/doeda’ are forms that indicate that an action or state was necessary in the past. The usage of the form depends on the intention of the speaker, and whether the proposition is realized is revealed through the context or by the semantic function of the ending combined after it. Korean language textbooks do not present the past forms of verbs adequately, and example sentences are few. As a result, learners tend to not use the past tense. This study systematically presented the form and usage of expressions related to the past tense of ‘-eoya hada/doeda’ for each learner level. (Kyung Hee University)
A Case Study for Arts Based Convergence Education Using Artificial Intelligence Technology

This research started with the question “Why do we need artificial intelligence education?” By looking at specific cases of arts-based convergence education using artificial intelligence, it explores the status and possibility of such education and comments upon our perspective and attitude toward arts-based convergence education as future education.
Nonprofit Learning Lab workshop on creating a case statement

Nonprofit Business AdvisorVolume 2021, Issue 387 p. 4-4 Conferences & Events Nonprofit Learning Lab workshop on creating a case statement First published: 10 November 2021 https://doi.org/10.1002/nba.31120Read 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. Volume2021, Issue387December 2021Pages 4-4 RelatedInformation
Errors in Hypothesis Tests: Learn Your á from Your â

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Foundations of Graphs

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Speech Error In “Get Real Giving Thanks With Sam Kim Ep #22 By Dive Studios” Video Podcast

The aim of the study is to describe the speech errors and to find out the causes of the speech errors that occurred in the video podcast Get Real Givingthanks with Sam Kim Ep 22. The researchers collected data using the documentation method and applied qualitative analysis. The data for this research were the utterances from video podcast Get Real Givingthanks with Sam Kim Ep 22. The source of the data was a video between the hosts, Ashley and BM, and the guest, Sam Kim, which was downloaded from the official DIVE Studios YouTube Channel with durations of 46 minutes. The data were described based on the theory of Common Speech Errors by Clark Clark (1977). According to the results, it was shown that Ashley made 9 types of errors totaling 47 errors, but BM made 8 types so he did not made errors in types of stutters totaling 80 errors, and Sam made 9 types totaling 106 errors. For the causes of the speech errors are due to internal and external factors such as nervousness, hesitation, haste, and lacking concentration. The total number of speech errors made by the speakers 233 mistakes. As a result of speech errors, 52 repetitions occurred because it happened the most and Sam did it the most. Filled pause occurred 46 mistakes, both Sam and BM produced the most errors. For Silent pause, 41 mistakes, and all speakers made the error. Interjections occurred 37 mistakes but Ashley made the fewest mistakes. False Starts (unretraceed) occurred 14 mistakes, not only BM did 4 mistakes but Ashley also did 4 mistakes. Corrections occurred 13 mistakes but BM only made 2 mistakes. For Stutters happened 13 mistakes, both Asley and Sam made the most mistakes but BM didn't exist. Slip of the tongue happened 11 mistakes and Ashley only made one mistake. False starts (retraced) occurred 6 mistakes and this is the least common type.
Advanced Topics in Graph Neural Networks

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INTEGRATIVE CHEMISTRY TEACHING

The modern education system is aimed at the formation of a highly educated, intellectually developed personality with a holistic view of the picture of the world, with an understanding of the depth of connections between phenomena and processes. Integration in modern society explains the need for integration in education. Integration provides an opportunity for self-realization, self-expression, creativity of the teacher, promotes the disclosure of abilities.&#x0D; The use of an integrative approach in teaching is determined by the complex of needs of modern education.&#x0D; Integration is a multivalued concept, and a leading trend in modern education, and a real need of the time. Integration is central to the integrative approach. The purpose of this article is to reveal the essence and possibilities of using an integrative approach in creating courses in chemistry.&#x0D; Today, the use of computer technologies in education seems to be necessary, therefore, an important task of a modern teacher is to show students the capabilities of ICT. The availability of such courses will increase the productivity of the learning process. And so, integration is a prerequisite for the modern educational process.&#x0D; It is necessary to highlight the functional components that characterize the dynamics of educational technology, integrated into the structural components. The main functional components that correspond to the structural components: goals, tools, effective products - as goals, organizational, managerial and performance evaluation capabilities. The teacher should be aware of the patterns of integration processes used in chemical and educational educational technologies.
Search of Stable Operation through Statistical Analysis of PMU Generated Big Data of Substation

In order to monitor, analyze, and control RESs operated in connection with the power system in real-time, the installation and distribution of PMUs are expanding. Accordingly, there is a need for a method that can effectively use the large-capacity big data generated by the PMU. In Gangwon-do, more than 3GW of RES is expected to be connected by 2025. In this paper, in order to cope with the volatility of RESs and to improve reliability of power system in Gangwon-do, the effect on the power system is effectively investigated through the PMU-generated big data of S/S connected with RESs. First, big data is collected using the PMU and F/R installed in the S/S. The instantaneous voltage change rate is calculated, and statistical techniques such as boxplot, kernel density, correlation index, and harmonic average are implemented using R programming, which is specialized for large data statistics and analysis. Finally, the power quality is analyzed through the implemented technique. So, it is thought to be helpful in research on the stable operation of RESs linked systems.
Determining the Concept “Theory of Education Management Process” at the Level of Intramural Quality Management

The paper presents original methodology for the concept of "theory of education management process." The concept's yardstick is innovation. The scope of the concept "theory of education management process" of an innovative character is covered in this article. As part of the research, the authors define the terms "innovation," "innovative process," "innovative management," and "modernization." Under modernization conditions, the concept "theory of education management process" is represented by a set of interconnected components-processes characterised by the modern education development strategy. The theory of education management method is described as an analogue model of certain strategies/tactics of modern education development. Theory of education management process can be considered methodological premises for conceptual model of intramural quality management in higher educational establishments. The study provides a logic matrix of a conceptual model of management in higher education, reflecting a strategic approach to quality in education. The authors provide an outline of the system of principles for adjusting the functioning of the quality management model in modern Russian higher educational institutions.
Selecting Services on Service Computing Based on Context Semantic Information

Service selection is a process that aims at identifying a set of services able to satisfy a given set of functional and non-functional requirements. Selecting services is essential for providing services with higher success rate and lower cost. Current Web service selection methods assume that service parameters have the consistent expressions, but neglect the ubiquitous problems of semantic conflicts, causing the decrease of correct rate and the increase of omitting rate. This paper proposes a novel service selection approach based on context semantics. First, we introduce the semantic matching model and the semantic transformation model to solve the semantic conflicts under different contexts. Second, we build a series of pre-defined routines to eliminate the context differences. Finally, we employ service filtering and parameter dimensionless process, so that users can find the service that best matches their requirement. The experimental results show the correct rate and efficiency of service selection increases, and thus the proposed approach is adoptable.
Student virtual collaboration as messy entanglements of Bildung

In this chapter, I discuss student collaboration in a virtual learning environment through ideas of posthumanist Bildung and the cyborg metaphor. They offer analytic tools to understand the entanglements of students’ being/knowing/doing for a better world. Here I discuss spatial entanglements within student collaboration in a course on Team leadership on the platform itslearning. In virtual courses, human embodied experiences are entangled with digital technology. Digital platforms support certain actions and hinder others. For these reasons, the agency of the space is essential to investigate in education. Posthumanist Bildung helps explain possibilities and issues when cyborgs collaborate in a virtual space like itslearning.
Chapter-6. Eigen Values and Eigenfunctions

This textbook entitled "An introduction to Calculus of variations and Integral equations" is intended to study the extremals of different types of variational problems and methods of finding the explicit solutions of integral equations, where ever possible. The absence of methods of finding an exact solution is intended to study the properties of solutions of the given integral equations. This book contains a total of 07 chapters and two sections. section-I includes the calculus of variation, while section-II discusses the part of the Integral Equation. Section-I has been divided into four chapters, while section-II has been divided into 03 chapters.This book is based on the syllabi of the theory of Calculus of variations and Integral equations prescribed for postgraduate students of mathematics and applied mathematics in different institutions like N.I.T’s, I.I.T’s, and universities of India abroad. This book will be useful for competitive examinations as well.
Produkte: Vakuum in Forschung und Praxis 6/2021

Vakuum in Forschung und PraxisVolume 33, Issue 6 p. 17-17 Magazin Produkte: Vakuum in Forschung und Praxis 6/2021 First published: 08 December 2021 https://doi.org/10.1002/vipr.202170603AboutPDF 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. Volume33, Issue6December 2021Pages 17-17 RelatedInformation
Protocol Identification Method Based on Message Similarity and Deep Learning

Traditional protocol identification methods rely too much on feature design, which is time-consuming, laborious and low accuracy; At present, most of the protocol identification technologies based on deep learning convert the protocol traffic into a picture format suitable for the input of convolutional neural network. This approach does not conform to the essential feature that network traffic is one-dimensional time series data. To solve the above problems, this paper proposes a protocol identification method based on message similarity. Firstly, according to the similarity between messages in the same protocol state, a message clustering algorithm based on K-means is designed to cluster the sample messages of different protocols in turn and mark the class center point. The similarity feature of the message is extracted by calculating the distance from the message to each center. Then, the gated recurrent unit (GRU) neural network is used to further learn the timing conversion relationship of message similarity feature in a session, and generate a fusion feature with high discrimination, which can comprehensively reflect the feature information at the two levels of message and session. The experimental results show that the classification accuracy of the proposed model can reach 97.2&#x0025; for six application layer protocols.
Transactions

In analyzing the existing and future transportation system in general, and the testing and deployment of automated and self-driving vehicles in particular, this chapter demonstrates that the application of our framework provides a good understanding of the interdependencies between the technological and institutional dimensions at stake. An analysis of both the vertical coordination between the layers along these two dimensions, respectively, and the horizontal alignment between them offers in-depth insights about the complexity of the transportation network and the conditions to be met if the expected services are to be delivered. The changes in the technological architecture, with the introduction of technological designs and operation of automated vehicles, and their interdependence with macro-institutional values, in particular safety but also security, privacy, and efficiency, offer a rich opportunity to analyze the structural complexities at stake. In this chapter, we focus on the layer of transactions: transactions between car manufacturers and their suppliers, between car manufacturers and the providers of the transportation services, and between these providers and their customers. The importance of the alignment between technical operations and micro-institutions is illustrated by the fatal accident involving an automated test car on March 19, 2018 in a street in Tempe, Arizona.
Development of a prototype for the alignment between learning and teaching and assessment on sentence-to-short essay writing for middle school

The present study was aimed to develop a prototype for aligning learning and teaching with assessment on sentence-to-essay writing for middle school. In order to serve the purpose of the research, a test specification, firstly, was built based on the 2015 revised national curriculum of English, which was followed by the development of a lesson and assessment plan as well as learning and teaching materials. Then test items and exemplary answers were created for word-, sentence-, paragraph-, and short essay-level writing assessment. In addition, a scoring rubric and a prospective of providing feedback were designed and developed by benchmarking domestic and international English writing assessments. It should be well worth suggesting the followings in order to activate classroom learning and teaching and assessment for sentence-to-essay writing. Firstly, it is high time to build and provide an online English writing assessment support system to schools in order to elevate the efficiency of administration of assessment and maximize effectiveness of self-learning. Secondly, it is also recommended to open a teacher website where teachers can share and learn from know-how and experiences of learning and teaching and assessment on English writing.
Author Index Volume 35

Modern Physics Letters BVol. 35, No. 36, 2199001 (2021) Free AccessAuthor Index Volume 35https://doi.org/10.1142/S0217984921990013Cited by:0 Previous AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Remember to check out the Most Cited Articles! Boost your collection with these New Books in Condensed Matter Physics today! FiguresReferencesRelatedDetails Recommended Vol. 35, No. 36 Metrics History PDF download
Shilling detection algorithm based on non-negative user embedding matrix factorization

With the wide application of collaborative filtering recommendation systems, more and more attackers disrupt the recommendation ranking to benefit from the manipulated recommendation results. Therefore, how to effectively detect torrent attacks becomes more and more critical. To solve the problems of low extraction of user information and low utilization of user implicit features in the existing shilling attack detection algorithms, a shilling attack detection algorithm based on non-negative user embedding matrix factorization is proposed. Firstly, the user-user co-occurrence matrix is constructed by using the pointwise mutual information. Secondly, it is found that there is a linear correlation between the quality of the user-user co-occurrence matrix before dimensionality reduction and the quality of the user implicit features. The centralized similarity is used to construct the user deep similarity matrix before dimensionality reduction, to improve the quality of the user implicit features. Furthermore, non-negative matrix factorization is used to extract the features of users in the deep similarity matrix. Through the verification in movielens100k data set and Amazon data set, it is found that the improved algorithm can detect torrent attacks more effectively.
The prediction of the English preliminary CSAT by high school English performance test and regular English exam

The present study was designed to examine the prediction of preliminary College Scholastic Ability Tests (CSATs) English by high school regular English reading exam and English performance test. The high school English performance test consists of an English listening test, speaking test, and writing test. Two hundred eighty-two Korean male high school students participated in this study. For this analysis, correlation was conducted among preliminary CSAT English, English regular reading exam and English performance test. In addition, regression was conducted and Preliminary CSAT was the dependent variable. The English performance test and English regular exam were independent variables. The results of this study showed that preliminary CSAT English had a high correlation with regular English reading exam and listening performance test. In addition, preliminary CSAT English was usually predicted by the English reading and writing test. This seems to be because preliminary CSAT English was usually testing the learners’ English reading and listening ability. It would be desirable for CSAT English to measure basic English speaking and writing ability.
Graph Neural Networks for Complex Graphs

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A study of online adult English learners’ perception of their English learning motivation and L2 selves

This study aims to investigate the perception that Korean graduate students are motivated to study English. Unlike the controversial early studies on L2 (second language) motivation (Gardner, 1985; Gardner & Lambert, 1959, 1972), Korean adult English learners were measured to have a distinctive self-system (D&#246;rnyei, 2005, 2009) in their L2 selves. 78 graduate school students from online English reading and practical English classes participated in the study. The semi-structured survey data analysis shows that the ideal self in possible selves significantly correlated with all three sub-types in L2 learning motivation. Their learning-oriented learning motivation, in particular, verified that both ideal self and ought-to self should be significantly meaningful predictors in practical English and English reading classes. The study’s implication considers how English teachers may reflect and utilize the features that Korean adult EFLs’ (English as a foreign language) learning motivation is more based on their inherent factors of possible self rather than external factors in learning L2. Based on the findings of the study, some pedagogical suggestions have been presented for further study.