Reviewerly/exHarmony huggingface dataset:
Role of Meteorological Satellites and Radar in Weather Forecasting

Because of global warming, pollution, and many other factors, the environment is changing at an alarming rate. Accurate forecasting can assist people in making appropriate plans for activities such as harvesting, traveling, aviation, etc. Satellites and radar have been increasingly popular in weather forecasting over the previous few decades. The information collected by the satellite and radar can be used to monitor climate movement, track hurricanes, and give barometrical estimations that can be turned into mathematical climate expectation (NWP) models for exact forecasting. Currently, more than 160 meteorological satellites are located in orbit, which generates approximately 80 million observations every day. This chapter discusses several meteorological satellites which are used to extract weather pattern. For the time being, the results of Observation System Simulation Studies (OSSE) utilising satellite information are presented in order to demonstrate the relationship between perceptions from satellite sensors and ground-based sensors.
A Study on the Career Counseling for Voice Major College Students in the Viewpoint of Myeong-li Science: A Method of Analyzing Ten Stars of Saju

This study is to present qualitative research on characteristics of voice major college students in the viewpoint of Myeong-li(Saju) science with the ‘Ten Stars’ theory. 10 Saju Samples(using their birthday and time of birth) for students who already graduated, and another 10 Saju samples who are now attending classes were gathered to be analyzed. Recent tendancy of Myeong-li Science is not mainly for fortune-telling but to reveal each human being’s potency and possibility of his career development process thoughout his life. Analysis results for 10 students who already graduated showed that all of them are now working as professional singers or voice coaches and they mostly have at least 1 element among Shik-shin(expression), Sang-kwan(creativeness) and Pyeon-in(skill intentionality) elements of Ten Star theory of Saju. Analysis results for another 10 students who are attending classes showed that they also have at least 1 element among those 3 key elemnets, which is also relevant in comparison with the Career Interest Test from the Worknet website. Their Worknet test result is that they all have strong artistic characteristics and high self-esteem. Voice major college students are moslty don’t prefer to work under strict and rigid culture of the companies and willing to build their careers as freelancers. For this reason they need to realize their tendencies, charaters, strength and weakness in addition to their musical abilities. Career counseling using traditional Myeong-li(Saju) science would help them to understand themselves and their future tendencies and possibilties.&#x0D;
GUINEA – BISSAU: Parliament Dissolved

Africa Research Bulletin: Political, Social and Cultural SeriesVolume 59, Issue 5 p. 23584C-23585C Internal Developments GUINEA – BISSAU: Parliament Dissolved First published: 13 June 2022 https://doi.org/10.1111/j.1467-825X.2022.10528.xRead 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. Volume59, Issue5June 2022Pages 23584C-23585C RelatedInformation
Open Access and the End of a Big Deal

After the California State University system canceled a large journal package in 2015, California State University Northridge analyzed usage and overlap data and proceeded with a subscription to a small number of single titles. This collection development decision was coupled with an attempt to improve discovery and linking for open access content. In the years since the cancelation, overall usage of the publishers journal content has remained comparable to pre-cancelation usage, while downloads of open access content have increased.
A Study on the Analysis of Cultural Heritage Guide Materials as Public Language: Focusing on the Analysis of Cultural Heritage Guide in Andong

The purpose of this study is to analyze the cultural heritage guide data, which can be said to be a representative type of public language from the perspective of immigrants living in Korea, to clarify problems, and to suggest improvement directions so that they can efficiently understand the information of cultural assets through public language. The cultural heritage guide material is a guide material for immigrants to understand the culture and values of Korea, and has useful value as an actual educational material. In particular, cultural heritage information materials have the characteristics of a public language that conveys Korean history and cultural facts at tourist attractions. To this end, data on Hahoe Village, Confucian academy(Seowon: Byeongsanseowon, Dosanseowon), and Manhyujeong were collected and analyzed among the representative cultural heritages of the Andong region to communicate the official language of foreign migrants. Information materials were used as research subjects for information, guidebooks, and video-produced content materials that can be used as real education materials. Problem analysis derived problems at the level of language regulation, vocabulary level, information level, and culture level based on accuracy and communication from the perspective of immigrants. As a result of the analysis, in terms of accuracy, there are many misrepresentations of the language regulations, and vocabulary grades are also difficult to understand due to the high-level vocabulary. It was confirmed that there was also a problem with the degree of communication in the level of information and culture. In the future, the direction of public language should be renewed by expanding immigrants to members of society, and in order to communicate and coexist with them, cultural heritage guidance materials should be carefully reviewed in terms of accuracy and communication and continuously improved.&#x0D;
Intelligent Automatic Platform for Compilation of Engineering Practice Textbooks in College based on Deep Big Data Intelligent Retrieval Algorithm

Intelligent automatic platform for compilation of engineering practice textbooks in college based on deep big data intelligent retrieval algorithm is designed in this study. The main reason why there is such a big contrast between the agenda setting effect of traditional media agenda network, social media agenda network and public agenda network at the semantic network level and the agenda setting effect at the potential semantic network level is that the network agenda setting effect is measured according to the explicit semantic network. With this basic model, this paper uses the word vector to achieve the intelligent retrieval algorithm. This method is suitable for cross-language tasks with large language gaps. The distribution of the words of different languages in the vector space is quite different, and multiple matrices are required for fine-grained mapping. Then, the novel platform is implemented with thew integration of the robustness testing.
주판의 현대적 수학교구로서의 재해석

The research goal of this study is to explore the direction of the abacus by reinterpreting the role and utility of the abacus in a modern way to highlight what advantages it can be and to apply it to future learners and educational fields. Abacus education using an abacus needs to be approached from the perspectives of ‘Practical Education Theory’ and ‘Experience-oriented Education Theory’, which have a theoretical basis for experiential learning. With the development of math and arithmetic skills through the abacus learning using the teaching aid, future learners can raise their mathematical competence by positively forming a mathematical attitude such as awareness, interest, and self-concept of the subject. In order for this, the recognition of the abacus teaching aid needs to be diversified. This study suggested that the usefulness of the abacus, as a concrete manipulative, can be the tool to raise students' ‘affective competency’ for the development of mathematical skills such as attitude and interest, not just a numerical and arithmetic teaching aid. The harmonious development of both cognitive and affective achievement is important to enable students to engage in learning while maintaining interest in mathematics subjects. For this purpose, it is important for students to gain confidence in math classes, and abacus learning can be actively used in the educational field in terms of improving confidence in math classes.&#x0D;
The Mediating Effects of Learning Flow on the Relationship between Self-Directed Learning and Online Class Adaptation of Middle-school Students

The purpose of the study was to examine the mediating effects of learning flow between self-directed learning and online class adaptation of middle-school students. 244 middle-school students in Busan were surveyed using the Self-Directed Learning Scale, Learning Flow Scale and Online Class Adaptation Scale. Correlation analysis was conducted to examine the relationships among these variables. Hierarchical multiple regression analysis was conducted to test the mediating effects of learning flow. In conclusion from the results and discussions, there are positive correlations among self-directed learning, learning flow and online class adaptation. Learning flow operated as a mediating factor between the self-directed learning and online class adaptation. These results suggest the importance of psychological intervention to improve learning flow and self-directed learning that affect online class adaptation of middle-school students.
Security Testing as part of Software Quality Assurance: Principles and Challenges

Software quality assurance (SQA) is a means and practice of monitoring the software engineering processes and methods used in a project to ensure proper quality of the software. It encompasses the entire software development life-cycle, including requirements engineering, software design, coding, source code reviews, software configuration management, testing , release management, software deployment and software integration. It is organized into goals, commitments, abilities, activities, measurements, verification and validation. In this talk, we will mainly focus on the testing activity part of the software development life-cycle. Its main objective is checking that software is satisfying a set of quality properties that are identified by the "ISO/IEC 25010:2011 System and Software Quality Model" standard [1] .
Gesture Recognition using Open CV

With advanced technologies in this digital era, there is always scope for development in the field of computing. Hands free computing is in demand as of today it addresses the needs of quadriplegics. This paper presents a Human computer interaction (HCI) system that is of great importance to amputees and those who have issues with using their hands. The system built is an hand gesture-based interface that acts as a computer mouse to translate finger movements towards the mouse cursor actions with this we have implemented eye recognition/ detection. The system in discussion makes use of a simple webcam and its software requirements arespyder(anaconda 3), OpenCV, NumPy and a few other packages which are necessary for gesture recognition. The gesture detector can be built using the HOG (Histogram of oriented Gradients) feature along with a linear classifier, and the sliding window technique. It is hands free, and no external hardware or sensors are required..
Conditional functional clustering for longitudinal data with heterogeneous nonlinear patterns

In studies of cognitive aging, it is crucial to distinguish subtypes of longitudinal cognition change while accounting for the effects of given covariates. The longitudinal cognition trajectories and the covariate effects can both be nonlinear with heterogeneous shapes that do not follow a simple parametric form, where flexible functional methods are preferred. However, most functional clustering methods for longitudinal data do not allow controlling for the possible functional effects of covariates. Although traditional mixture-of-experts methods can include covariates and be extended to the functional setting, using nonlinear basis functions, satisfactory parsimonious functional methods required for robust functional coefficient estimation and clustering are still lacking. In this paper we propose a novel latent class functional mixed-effects model in which we assume the covariates have fixed functional effects, and the random curves follow a mixture of Gaussian processes that facilitates a model-based conditional clustering. A transformed penalized B-spline approach is employed for parsimonious modeling and robust model estimation. We propose a new iterative-REML method to choose the penalty parameters in heterogeneous data. The new method is applied to the latest data from the Religious Orders Study and Rush Memory and Aging Project, and four novel subtypes of cognitive changes are identified.
Study of Data Behaviour and Methods for Data Prediction and Analysis

The age-old tricks of predicting based on gut intuition have been overruled by mathematics since day one. The study of dispersed data and being able to predict how the data is spread around the median only to show us how other similar data could be spread could also be used to predict the behaviour of data. And such is this research paper’s goal to discuss the methods and help as the analysis is carried out to build the models. Many prediction models that exist have common drawbacks like irregular dataset, overfitting and underfitting of data into the model, which is what this research work is trying to avoid by creating a proper standard prediction model. Anyone will be able to build a regression model by the end of this research paper after seeing the process of making an example model. At the end of the paper, one should be able to understand how data can be studied and used to build a predictor of their own, to guess according to the given specific situation. Building data models is essential in data analysis and prediction as its the core building block as to how the information is interlinked. The proposed model will use the IPL Match data’s to inspect the data flow and predict the future.
A Study on the Role and Competency of Local Council Members: A study focusing on the Seoul Metropolitan Council

The purpose of this study is to bring together the roles and competency-related content of local assembly members and to explore the necessary competencies according to the roles of local assembly members using Delphi method. To that end, a survey was conducted on 1,074 Seoul citizens and 33 Seoul City Council members, and a study of FGI and experts was conducted on Seoul City Council members. The results of the study are as follows. First, it is necessary to systematize and refine the capacity of local council members that reflect the needs of stakeholders. Secondly, competency-oriented education programs based on competency assessment among local council members should be applied. Third, it is necessary to develop a competency-enhancing program for local assembly members based on advanced competencies. The results of this study are expected to be used as basic data for professional improvement and performance management through competency-based education of local council members.
A Study on the Prevention of Hard Fraud in Automobiles: Centered on an Intentional Collision

The main culprit of car hard fraud is using social media to recruit people through a legal method of recruiting part-time jobs and engaging them in crimes. Through this, criminals intentionally cause traffic accidents targeting vehicles that violate the law and acquire insurance and settlement money from the victim driver or insurance company. As a result, the purpose of the study is to present measures to prevent insurance leakage and increase insurance premiums for auto insurance subscribers.&#x0D; The method of research is to identify the status and trend of insurance fraud by the Financial Supervisory Service, identify cases of auto-hard fraud based on Internet and domestic and foreign research data, and identify what measures insurers are taking to prevent damage to insurance fraud.&#x0D; As a result of the study, car-hard fraud is causing an accident by intentionally colliding a vehicle that violates traffic laws. Through this, the high proportion of the victim drivers' negligence and the fact that the perpetrator claims to be a negligence accident are exploited by the insurance company. Insurance companies are responding by establishing a system that can detect habitual criminals, but it is less efficient in crime prediction and detection, and it seems that there is a limit for insurance companies to respond to and detect first-time criminals. Therefore, it was derived that it is possible to prevent insurance fraud only by preparing countermeasures through a more scientific and detailed approach.&#x0D; In conclusion, car-hard fraud are becoming increasingly intelligent, and as a result, it is difficult to arrest criminals, so crimes are on a continuous increase. In order to eradicate such crimes, a control tower should be created under the Financial Supervisory Service to predict and arrest insurance fraud crimes. The first offender of a fraudulent crime using a car has a limit that cannot be arrested. Therefore, a detective system should be established to approach from the recruitment stage through social media, participate in crime execution, secure evidence, and request an investigation to an investigative agency. Car fraud criminals target vehicles that violate traffic laws, so if an accident occurs in violation of traffic laws, the driver is obligated to receive compliance education from the Korea Transportation Safety Authority, and The punishment regulations should be revised so that criminals can be reasonably punished.
Refined Node Data Mining Platform in the Construction Phase of Building Installation Engineering based on BIM Technology

The article analyzes the installation cost management based on BIM technology, and then discusses the model construction in the installation project cost management based on BIM technology. Building installation construction is the longest time, the most complicated technology, and the most risky in the whole process management of engineering projects. At this stage, a large amount of project management information is carried. Using the concept of refined management, a BIM solution for the whole process of construction and installation engineering was proposed. Combined with the analysis of engineering examples, the construction unit should also actively apply advanced technology methods such as BIM to provide a dynamic and reliable reference basis for fine management, so as to promote the data mining of the fine management node of building installation and construction.
Summary of SWFC-ART: A Cost-effective Approach for Fixed-Size-Candidate-Set Adaptive Random Testing through Small World Graphs

This extended abstract presents an approach to enhance the Fixed-Sized-Candidate-Set Adaptive Random Testing (FSCS-ART) sampling strategy. SWFC-ART, the proposed approach, stores the previously-executed, non-failure-causing test cases into a Hierarchical Navigable Small World Graph (HNSWG) data structure and uses an efficient and consistent Nearest Neighbor Search (NNS) mechanism, especially for high-dimensional input domains. Our experiments show that SWFC-ART reduces the computational overhead of FSCS-ART from quadratic to log-linear order while retaining the failure-detection effectiveness of FSCS-ART.
Workshops on Computational and Analytical Research Methods (NIDA)

Federal Grants & ContractsVolume 46, Issue 14 p. 7-7 Grants alerts Workshops on Computational and Analytical Research Methods (NIDA) First published: 13 June 2022 https://doi.org/10.1002/fgc.32446Read 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. Volume46, Issue1416 June 2022Pages 7-7 RelatedInformation
Exploring the Direction of Traditional Music Education Using Edutech

In order to explore the direction of Korean traditional music education using edutech, this study first reviewed the music textbooks for elementary, middle, and high schools according to the 2015 revised curriculum, and then looked at various examples of traditional music education using edutech in institutions. As a result of examining music textbooks, Korean traditional music education activities using edutech were suggested in the middle school group, and most of the activities were limited to classes using applications. On the other hand, education in institutions was conducted according to the introduction of various technologies such as realistic content, VR, coding, and non-face-to-face education platforms. The use of various edutech tools and teaching and learning methods are required in Korean traditional music education. Based on the above considerations, the following suggestions were made on the direction of traditional music education using edutech. First, in terms of operation, a practical class model for traditional music education using edutech was presented. Second, in terms of methods, interactive edutech was selected and teaching and learning methods were sought accordingly. Third, in terms of application, positive changes in the perception and necessity of edutech among instructors and learners were discussed. Through this study, it is expected that the active introduction of edutech and the revitalization of Korean traditional music education through effective educational innovation in elementary, middle, and high school traditional music education.&#x0D;