Reviewerly/exHarmony huggingface dataset:
Chapter 10. Creating Context for the Record Using Metadata

Effective data management and curation are essential to not only ensure that our research data is discoverable and safely preserved, but also so that it is reusable and repeatable by others. Rich metadata can be used to describe the data, provide context, and capture provenance to facilitate discoverability, reusability, and trust in the research data. In this chapter, we will discuss the roles of both machine-generated and user-defined metadata and the importance of capturing metadata ‘at source’. We will also examine how metadata is used in science, and issues and attitudes towards creating metadata. Software can assist users in the production of metadata and by making use of metadata within interfaces, and we will examine some ways that metadata can be automatically created and examples of smart assistance in digital tools. We will look at ways of encouraging curation through the design of interfaces, including how using invitations, different cues, and changing perspectives can help to capture different kinds of metadata. Finally, we will examine existing digital tools for metadata design and creation, and how including usability in tool design can support users with such tools.
Library Guides: National Conference on Undergraduate Research at MSU: Assignment 4: NCUR Reflection

This guide provides examples of syllabus language and assignments that MSU faculty members can use to encourage participation in and attendance at the National Conference on Undergraduate Research, held March 26-28 2020. Write up a reflection of an experience at an NCUR session.
KESIAPAN GURU DALAM MENGHADAPI TANTANGAN PENDIDIKAN BERBASIS TEKNOLOGI

Education is the gateway to a better life by fighting for the smallest things to the biggest things that every human being would normally pass. In every era there is always renewal in the education system. In the 21st century, education is required to be more advanced and easily accessible to all groups. One of them, the creation of Industrial Revolution in other words the era of digital-based. One of the challenges of industry 4.0, namely in the world of education is learning innovation carried out by Human Resources, in this case the teacher utilizes information technology facilities that developed rapidly in the era of revolution industry 4.0 so that it can play a role in improving the quality of learning. The challenge of education in this era is how to prepare teachers for the use of current technology and maximize the abilities that teachers have in using the latest technological equipment. Therefore, Indonesia must immediately prepare professional educators, namely educators who are able to use e-learning, because the ability of educators to use technology is one of the solutions to prepare competent millennial generations.
A Typicality-Based Knowledge Generation Framework

This short paper is an abridged version of [], where we introduce a framework for the dynamic generation of novel knowledge obtained by exploiting a recently introduced extension of a Description Logic of typicality able to combine prototypical descriptions of concepts. Given a goal expressed as a set of properties, in case an intelligent agent cannot find a concept in its initial knowledge base able to fulfill all these properties, our system exploits the reasoning services of the Description Logic \(\mathbf{T}^{\textsf {\tiny CL}}\) in order to find two concepts whose creative combination satisfies the goal.
Analyzing the disclosure risk of regression coefficients

A major growth area in social science research this century has been access to highly sensitive confidential microdata, often via restricted-access remote facilities. These allow researchers highly unlimited access to manipulate the data but with checks for disclosure risk before the statistical results can be published. Effective output-based statistical disclosure control (OSDC) is therefore central to effective use of confidential microdata for research.Multiple regression is a key anaytical tool for researchers, and so knowing whether multiple regression results are ‘safe’ for release is essential for research facilities. This is a relatively unexplored field; guidelines used by almost all restricted-access facilities reference an informal document from 2006, but more recent work suggests that problems may exist.This paper demonstrates that linear regression coefficients show no substantive disclosure risks in realistic environments, and so should be considered as ‘safe statistics’ in the terminology of this field. Conflicting results in the literature reflect institutional perceptions rather than statistical differences, the confusion of statistical quality with disclosure risk, or the failure to identify the source of risk. The result has important implications for those responsible for providing research access to sensitive data.The paper explores this result on simple linear regression models; more complex models are shown to be ‘safer’ subsets. Non-linear models pose slightly different problems, but this paper indicates a way such models may be tackled.
Reorganization Direction of college writing textbook - Focused on Chonbuk National University Textbooks -

본 연구는 현재 사용 중인 교재를 살펴 문제점을 찾고, 새로 개편될 교재의 방향성을 모색하는 데에 목적이 있다. 전북대학교 글쓰기 교재는 ‘의사소통 중심’, ‘학습자 중심’의 개발 원리에 따라 개발되었다. 따라서 의사소통 능력을 향상시킬수 있는 실제적 활동을 담고 있어야 하며, 학생들이 주체적 쓰기 활동을 수행할수 있는 최적의 조건을 갖추고 있어야 한다. 이를 확인하기 위해 준거를 설정하고 교재를 분석한 결과, 쓰기 과정 중심, 이론 중심으로 구성되었고, 전공이나 직업과 관련된 내용을 본격적으로 다루고 있음이 파악되었다. 글쓰기는 교양 교육의 핵심 교과로서, 학습자가 인류 문화의 계승자이면서 변화하는 사회의 주체자로 자리매김할 수 있도록 그 초석이 되어야 한다. 따라서 대학 글쓰기 교육 과정은 쓰기전략뿐 아니라 쓰기 주체의 자기 성찰, 사회를 향한 비판적 관점 강화 과정을 모두 포함하여야 한다. 이에 새로 개편될 교재에는, 비판적 사고력 신장을 위한 읽기 과정을 추가하여 읽기-쓰기를 연계한 통합 글쓰 기로 발전시키고, 연습 문제 보강을 통하여 실제적 활동을 강화하며, 자아 성찰적 글쓰기를 추가할 것을 제안한다.The purpose of this study is to find problems of the writing textbook currently in use and to search for the direction of reorganization of the textbook. The writing textbook was developed according to the principles of communication centered and learner centered . Therefore, this textbook should not only contain practical activities to improve communication skills of students, but also have the optimal conditions for students to perform active writing. I analyzed the textbook based on several criteria and have found the problems. The textbook deals with only writing process without reading process. mainly constitutes of theories. and deals too much with contents about jobs. Writing as the core of liberal arts education should be the cornerstone for the learner to become the successor of human culture and become the subject of changing society. Therefore, the university writing education curriculum should include not only the writing strategy, but also the process of strengthening self-reflection and critical thinking. I suggested that the new textbook should be reorganized as follows. First, the reading process for critical thinking should be supplemented in order to integrated reading and writing to writing. Second, the exercises should be diversified to strengthen learning activities. Third, self-reflective writing should be supplemented.
Improper Subjects: Thoughts on Discrimination Bills and Online Discrimination Against Lgbtiq People

Abstract:  In Argentina, Lgbtiq organizations have recently attempted to change anti-discriminations bills with no luck. Some of their legislative bills included requests to regulate online content. Here I argue that discrimination bills must include discrimination on the basis of sexual orientation, gender identity and its expressions. But our study showed that moderators cannot help protect users from hateful content and can do very little to prevent violence in online spaces. We found that attacks against Lgbtiq people in Lgbtiq blogs were common, and they are now being discriminated against in the name of freedom of speech and religious freedom. Moreover, the perpetrators used religious discrimination as a way to defend themselves from further attacks. Keywords : discrimination, Lgbtiq, communication, Internet, blogs.
한국어 교실 수업에 나타난 발화 수정 양상 연구- 한국어 숙달도별 비교를 중심으로 -

The purpose of this study was to analyse the repair of learners'' speeches which occurred in the Korean classroom of all levels, and to propose an effective speaking education plan on the basis of the analysis result. The conversation repair can be divided into self-initiated self-repair(SISR), other-initiated self-repair(OISR), other-initiated other-repair(OIOR), self-initiated other-repair (SIOR), self-initiated failure(SIF) and other-initiated failure(OIF). According to the analysis result, SISR accounted for the largest proportion in all repair types and the proportion of SISR increased as the improvement of the Korean level, which suggests that advanced learners know what the error was and how to use a speech strategy. SISR can be divided into overt repair and covert repair, both of which consists of several different categories. Overt repair appeared more frequently than covert repair in all levels, but the relationship of covert repair and the Korean level is significant. Further on, the results indicated that ‘function word replacing'' and ‘pronunciation replacing'' decreased from beginners to advance, while ‘insertion reversal'' increased, In addition to these, ‘interjection'' appeared most frequently during the overt repair categories, then ‘simple repetition'' and ‘long pause'' followed, and the lower level the more being used.At last, self conversation correction exercise, including lexical corrections, reformulation, grammatical corrections, pronunciation correction and editing, was being recommended. And in order to improve the efficiency of speaking education, the bellowing proposals are suggested, such as, (1) emphasizing the vocabulary education at both beginning stage and intermediate stage, (2) strengthening auxiliary word and pronunciation correction in the beginning stage, to reduce the speech error and the useless repair behaviors.
A Study on Acceptance Aspects of Modern Chinese Studies and Translation in Korea

The purpose of this study is to examine the aspect of knowledge exchange between Korea and China, focusing on the modern book circulation phenomenon. The study attempts to clarify the knowledge phenomenon of modern China centered on the translator of Shanghai Gangnam Jejochongguk Beonyeokgwan (製造總局飜譯館), and focuses on identifying the route of these books into the country. A summary of the discussions in this study is as follows.BR First, it seeks to explore the meaning of the
Discrete Similarity Preserving Hashing for Cross-modal Retrieval

Hashing methods have attracted great attention for cross-modal retrieval due to the low memory requirement and fast computation. Cross-modal hashing methods aim to transform the data from different modalities into a common Hamming space. However, most existing cross-modal hashing methods ignore the restrictions on the Hamming distance between dissimilar instances. Besides, most cross-modal hashing methods relax discrete constraints and then quantize the continuous values to obtain suboptimal solutions as hash codes, which causes quantization error and low retrieval performance. To address above problems, we propose a novel supervised cross-modal hashing method, termed Discrete Similarity Preserving Hashing (DSPH). DSPH simultaneously preserves inter-modality and intra-modality similarity. Specifically, DSPH puts restrictions on both the similar and dissimilar instances to learn more discriminative hash codes. Moreover, we present a discrete gradient descent algorithm to solve the discrete optimization problem. Extensive experiments conducted on Wiki and NUS-WIDE datasets show that DSPH improves retrieval performance compared with several state-of-the-art cross-modal hashing methods.
Medical Image Compression Based on Region of Interest

Medical images show a great interest since it is needed in various medical applications. In order to decrease the size of medical images which are needed to be transmitted in a faster way; Region of Interest (ROI) and hybrid lossless compression techniques are applied on medical images to be compressed without losing important data. In this paper, a proposed model will be presented and assessed based on size of the image, the Peak Signal to Noise Ratio (PSNR),and the time that is required to compress and reconstruct the original image.The major objective of the proposed model is to minimize the size of image and the transmission time. Moreover, improving the PSNR is a critical challenge.The results of the proposed model illustrate that applying hybrid losslesstechniques on the ROI of medical images reduces size by 39% and gives better results in terms of the compression ratio and PSNR.
Finding delta difference in large data sets

To find out what differs between two versions of a file can be done with several different techniques and programs. These techniques and programs are often focusd on finding differences in text fil ...
Traffic Reduction in Video Call and Chat using DNN-Based Image Reconstruction

In this paper, a traffic reduction scheme for videobased call and chat applications that uses deep neural network (DNN) based super resolution is proposed. Specifically, a sender transmits low-quality, low-resolution video frames containing face information in order to reduce the amount of video traffic. The receiver uses DNN-based super resolution to reconstruct highquality, high-resolution video frames from the low-quality video frames. The proposed scheme makes two contributions. First, face features are adopted for parameter optimization of DNNbased super resolution for high-quality image reconstruction, and second, the scheme includes a newly designed loss function that considers face features that allow high-quality face-containing video frames to be reconstructed at the receiver. According to our evaluation results using real video frames of video calls, the proposed scheme reduces the amount of video traffic by more than 90% as compared with conventional schemes that implement the standard video encoder. In this case, the proposed scheme achieves a reconstructed image quality up to 0.85 in terms of structural similarity (SSIM).
$t$-$k$-means: A $k$-means Variant with Robustness and Stability

Lloyd's $k$-means algorithm is one of the most classical clustering method, which is widely used in data mining or as a data pre-processing procedure. However, due to the thin-tailed property of the Gaussian distribution, $k$-means suffers from relatively poor performance on the heavy-tailed data or outliers. In addition, $k$-means have a relatively weak stability, $i.e.$ its result has a large variance, which reduces the credibility of the model. In this paper, we propose a robust and stable $k$-means variant, the $t$-$k$-means, as well as its fast version in solving the flat clustering problem. Theoretically, we detail the derivations of $t$-$k$-means and analyze its robustness and stability from the aspect of loss function, influence function and the expression of clustering center. A large number of experiments are conducted, which empirically demonstrates that our method has empirical soundness while preserving running efficiency.
Indexing in k-Nearest Neighbor Graph by Hash-Based Hill-Climbing

A main issue in approximate nearest neighbor search is to achieve an excellent tradeoff between search accuracy and computation cost. In this paper, we address this issue by leveraging k-nearest neighbor graph and hill-climbing to accelerate vector quantization in the query assignment process. A modified hill-climbing algorithm is proposed to traverse k-nearest neighbor graph to find closest centroids for a query, rather than calculating the query distances to all centroids. Instead of using random seeds in the original hill-climbing algorithm, we generate high-quality seeds based on the hashing technique. It can boost the query assignment efficiency due to a better start-up in hill-climbing. We evaluate the experiment on the benchmarks of SIFT1M and GIST1M datasets, and show the proposed hashing-based seed generation effectively improves the search performance.
The Effect Of Jigsaw Method On The Students’ Reading Comprehension Viewed From Students’ Creativity (A Quasi Experimental Design on the Eight Grade Students of SMPN 1 Manisrenggo Klaten in the Academic Year of 2018/2019)

The main objectives of this study are: (1) to find out whether or not Jigsaw method of cooperative learning is more effective than Grammar Translation Method for teaching reading comprehension to eight grade students of SMP N 1 Manisrenggo Klaten in academic year of 2018/2019. (2) to find out whether students with high creativity have better reading comprehension than students with low creativity, and (3) to find out whether there is any correlation between teaching methods and creativity for teaching reading at the eight grade students of SMP N 1 ManisrenggoKlaten in academic year 2018/2019.This study is a quasi experimental design. The population of the research is 160 students of eight grade students of SMP N 1 Manisrenggo Klaten in the academic year 2018/2019. The total sample were 64 students taken fromtwo classes, 8.D and 8.E as the sample. The instrument of this research is reading test with multiple choice forms and creativity test. In analyzing the data, the researcher used Two Way ANOVA and Tukey test.The research findings show that: (1) Jigsaw method is more effective than Grammar Translation Method to teach reading comprehension to eight grade students. (2) The students with high creativity have better reading comprehension than students with low creativity. (3) There is an correlation between teaching method and students students creativity in teaching reading at the eight grade students.Keywords: Jigsaw, Creativity, Reading
LIBRARIAN’S USE OF SOCIAL MEDIA FOR LIBRARY SERVICE DELIVERY IN UNIVERSITY LIBRARIES IN NIGERIA

Purpose: The study investigated the librarians’ use of Social Media for library service delivery in the university libraries in Nigeria.Methodology: The research adopted the descriptive design survey. The sample size of this research study comprised of (40) forty librarians from Federal University Otuoke and Niger Delta University, wiberforce iland, both in Bayelsa State. A well self-structured questionnaire was used to collect data.Findings: The Friday showed that social media tools were used among Librarians for sharing posting and disseminating of inaugural lecture, conference via You-Tube for other academic improvement. The finding revealed that Facebook was most consulted social media tool among librarian in the variously libraries. Closely followed were YouTube, Instant Message and Twitter respectively. The finding indicated that lack of awareness and the unreliable power supply were the two major challenges librarians faced while using social media to provide services in the university library. Closely followed was the low bandwidth. The study revealed that overdue notices, reference service, marketing and promotion of information products, displayed of new arrival of collection were some of the major services rendered by librarian in the university librarian in Nigeria.Originality: The result of this research will be beneficial to the librarians and the teaming users in general, especially in the area of awareness of social media tools, service delivery via social media tools and overcoming challenges facing librarian while using several media in providing services.
Comparative Analysis of Decomposition Models with Site-fitted Coefficients for Seoul

Decomposition models are essential in TMY development and solar energy system design. Up until recently, only a few decomposition model related researches are implemented in Korea due to lack of measured direct normal solar irradiance. In contrast, numerous researches have been conducted in various countries, and some quasi-universal composition models have been recommended by several papers. In this research, three decomposition models – Watanabe model, Reindl-2 model and Engerer1 model - are selected and their site-fitted coefficients are developed using measured direct normal solar irradiance in Seoul. R-squared, RMSE, MBE of the site-fitted models are compared with the case of original coefficients and then each other. The comparison result shows that the Reindl-2 model with site-fitted coefficients is best suitable for Seoul. Further researches will be conducted to find the best model using more various measured data of Korean cities and site-fitting methods.
Relationship among Social Support, Exercise Burnout and Drop-Out Intention of Elementary, Middle and High School Athletes

Purpose: The purpose of this study is to investigate the structural relationship among social support, exercise burnout, and drop-out intention of elementary, middle and high school athletes.BR Method: This study used exploratory factor analysis, confirmatory fac tor analysis, and reliability analysis to validate the measurement tools using the SPSS 21 program and the AMOS 21 program. Correlation analysis was performed to examine correlation between variables. Structural equation modeling analysis was performed to derive the final result.BR Results: The results are as follows. First, social support had a negative influence on exercise burnout of elementary, middle and high school athletes. Second, social support did not influence drop-out intention of elementary, middle and high school athletes. Third, exercise burnout had a positive influence on drop-out intention of elementary, middle and high school athletes.BR Conclusion: In order to prevent athletes from dropping out during the exercise, it is also necessary to seek ways to increase social support for athletes to minimize exercise burnout.
FAKTOR MEMPENGARUHI PENGGUNAAN VIDEO YOUTUBE DALAM KALANGAN GURU SEKOLAH RENDAH DALAM KESUSASTERAAN TAMIL

This study was conducted to identify factors influencing the usage of video in Tamil Literature, especially in national schools as teaching aids. In addition, this study was also conducted to identify the relationship between the factors listed as the determinant of video use in teaching activities. Symbolic Acceptance Theory and  is used to identify the level of video usage. This study was conducted using a quantitative approach. A total of 60 respondents were selected as samples in this study. Questionnaire has been used to collect data. Descriptive analysis and Pearson correlation were used to analyze data using SPSS software. The results showed that learning using video were at high levels. Based on the results, further research has been proposed to increase the effective use of video  in teaching Tamil Literature in a primary school among teachers. Further studies have to be carried out by identifying the use of information and communication technology such as online applications, e-portfolios, blog and so on in teaching and learning activities especially for Tamil Literature.
A Spatial-temporal 3D Human Pose Reconstruction Framework

3D human pose reconstruction from single-view camera is a difficult and challenging topic. Many approaches have been proposed, but almost focusing on frame-by-frame independently while inter-frames are highly correlated in a pose sequence. In contrast, we introduce a novel spatial-temporal 3D reconstruction framework that leverages both intra and inter frame relationships in consecutive 2D pose sequences. Orthogonal Matching Pursuit (OMP) algorithm, pre-trained Pose-angle Limits and Temporal Models have been implemented. We quantitatively compare our framework versus recent works on CMU motion capture dataset and Vietnamese traditional dance sequences. Our method outperforms others with 10 percent lower of Euclidean reconstruction error and robustness against Gaussian noise. Additionally, it is also important to mention that our reconstructed 3D pose sequences are smoother and more natural than others.