Reviewerly/exHarmony huggingface dataset:
The Relaxed Maximum Entropy Distribution and its Application to Pattern Discovery

The maximum entropy principle uniquely identifies the distribution that models our knowledge about the data, but is otherwise maximally unbiased. As soon as we include non-trivial observations in our model, however, exact inference quickly becomes intractable. We propose a relaxation that permits efficient inference by dynamically factorizing the joint distribution into factors. In particular, we show that these factors are learnable from data and that it is consistent with standard maximum entropy distribution. Through an extensive set of experiments we show that the relaxation is scalable, approximates the vanilla distribution closely, allows for a classification that is as accurate, as well as results in a concise set of patterns.
Evaluating “West Kalimantan Culinary Book” as A Supplementary Book for Undergraduate Students

&lt;em&gt;The present research believes that teaching materials which promote Indonesian traditional heritages should be available for students both inside and outside the classroom. For this reason, the research aims to preserve the presence of local cultures in the mid of English culture’s popularity by developing a book which contains aformentioned topics. The outcome of this empirical research is a textbook used as media for extensive reading in the student’s pleasure time. Using the ADDIE approach, this research collected data from several undergraduate students currently studying at a state university in Indonesia. The students were requested to read the West Kalimantan Culinary Book and share their ideas on what they have just read. In addition, the book was evaluated by experts from linguistic and cultural fields. The student’s feedbacks were very useful as they would reflect a potential user’s view in the future. Meanwhile, evaluations from experts helped us verify if the book was developed properly. Results indicated that readers responded to this culinary book positively. The book was considered helpful and unique as it was written in the English language. Since the book was aimed for extensive reading materials, we also checked and confirmed that this book followed the principles of extensive reading expressed by Day and Bamford (2002)&lt;/em&gt;.&lt;em&gt; To conclude, the research indicates its limitation particularly in terms of generalisability and provides suggestions for further research in order to improve the instruments of the data collection.&lt;/em&gt;
Formation of Methodical Competence of Students at Seminars on the Methodology of Teaching a Foreign Language

Introduction. The article updates the methodical training of future foreign language teachers as part of their professional training. The content of methodical training of students is revealed through the concept of methodical competence. The purpose of the article is to clarify the definition of the methodical competence of a foreign language teacher, to present its structure, to reveal the features of its formation at seminars on the methodology of teaching a foreign language. Methodology and research methods. The methodological foundations of the research are the ideas of communicative and socio-cultural approaches to teaching foreign languages, competence-based, contextual, and personal-activity approaches. Results. The following components of methodical competence are highlighted: the personal component; the cognitive and informational component; the operational and technological component; the activity component. This article reveals the possibilities of seminars for the formation of methodical competence of students. The author gives detailed recommendations based on her textbook on the methodology of teaching foreign languages to teachers on the successful formation the components of this competence. Conclusion. The effectiveness of the formation of methodical competence of future teachers of a foreign language largely depends on the correct organization of seminars on the methodology of teaching a foreign language.
North Miami Campus Library: Tailoring Virtual Library Instruction and LibGuides to Engage Music Majors: Home

With the emergence of online and blended music courses and degrees, library instruction and LibGuides are evolving to provide distance learners with access to music databases, scores, software, and library resources. This poster and LibGuide will provide
Effects of Combined Exercise Program on Body Composition, Lipid and Cortisol Levels in Blood among Middle School Students with Intellectual Disability

The purpose of this study was to identify physiological responses through combined exercddise for intellectually disabled people who view obesity as one of their physical characteristics. To achieve the purpose of this study, an eight-week compound exercise was conducted on 28 intellectually disabled middle school students residing in K city and the average and standard deviation for groups (normal BMI groups, obese BMI groups) were calculated. In addition, data processing was performed using two way repeated measured ANOVA using SPSS 18.0, and post-verification was performed if there were significant differences. The results are as follows: First, there was no change in weight for middle school students with intellectual disabilities through eight weeks of combined exercise. However, the lean body mass increased in the standard population, body fat mass and BMI decreased in the standard population, and the bone density factor increased in both the standard population and the obese population. Second, neutral fat decreased in the standard group, and the low-density cholesterol factor decreased in the obesity group. Third, cortisol factors have been shown to decrease in standard groups. In conclusion, the eight-week compound exercise has been shown to have an effect of improvement in the physical composition and blood lipid variables of middle school students with intellectual disabilities.
Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee

Sparse deep learning aims to address the challenge of huge storage consumption by deep neural networks, and to recover the sparse structure of target functions. Although tremendous empirical successes have been achieved, most sparse deep learning algorithms are lacking of theoretical support. On the other hand, another line of works have proposed theoretical frameworks that are computationally infeasible. In this paper, we train sparse deep neural networks with a fully Bayesian treatment under spike-and-slab priors, and develop a set of computationally efficient variational inferences via continuous relaxation of Bernoulli distribution. The variational posterior contraction rate is provided, which justifies the consistency of the proposed variational Bayes method. Notably, our empirical results demonstrate that this variational procedure provides uncertainty quantification in terms of Bayesian predictive distribution and is also capable to accomplish consistent variable selection by training a sparse multi-layer neural network.
Yes, ICAN(b)E - Active Aging in Place supported by a Caregiver-centered Modular Low-Cost Platform

Aging in place happens when people age in the residence of their choice, usually their homes because it is their preference for living as long as possible. This paper introduces the implementation of a computational platform to support active aging in place with a particular focus on the caregivers and their requirements to accomplish their tasks with engagement and comfort. The platform is supported by IoT, using low-cost technology to increment the platform modularly. It is a modular platform capable of responding to specific needs of seniors aging in place and their caregivers, obtaining data regarding the person under supervision, as well as providing conditions for constant and more effective monitoring, through modules and tools that support decision making and tasks for active living. The paper describes the platform principles and its modular architecture. Preliminary results are presented in the form of an experimental installation scenario.
Penerapan Mobile Government Pada Monitoring Aktigitas Aparatur Sipil Negara Di Dinas Komunikasi dan Informatika Kabupaten Bandung Barat

The development of mobile and mobile technology has given the Government the opportunity to utilize Mobile Information and Communication Technology (M-ICT) to help facilitate daily administration and to provide better services to citizens, businesses and government institutions through the use of mobile technology. The number of cellular telephone users in Indonesia continues to grow and now it has reached 50.6 million customers. Therefore, the application of m-Government in Indonesia is an interesting material to be studied. There are many forms of services that can be provided by m-Government, one of which is service in government offices for stakeholders of the state civil apparatus. This research takes place in the Office of Communication and Information (Diskominfo), which is one part of the Regional Work Unit (SKPD) in West Bandung Regency, and focuses on the existence of monitoring activities of the State Civil Apparatus (ASN) in the SKPD. ASN always plays an important role in the daily activities of the government bureaucracy, therefore it is necessary to manage employee data in order to achieve quality assurance on employee performance. Diskominfo West Bandung Regency has a number of employees of approximately 150 employees spread in 3 fields. The use of M-Government technology is believed to be able to provide a necessity to resolve the challenges that must be overcome, one of which is the external office / city monitoring of the ASN Diskominfo. This research will build a m-Government application in Diskominfo, West Bandung Regency to monitor the activities of the state civil apparatus (ASN), which uses smart cellphones based on Android as its media.
Recursive Maximum Correntropy Criterion Based Randomized Recurrent Broad Learning System

Recurrent broad learning system (RBLS) is an effective way for complex dynamic system modeling. However, the typical RBLS is optimized under the minimum mean square error criterion, which is sensitive to large outliers and impulsive noise. Furthermore, the auto-encoder RBLS uses needs pre-training, making it’s impossible for RBLS to be used in online learning tasks. In this paper, we propose an efficient robust randomized RBLS for online learning. In this method, we adopt randomly weighted networks as input feature extracting part, while random recurrent network with sparsely connected nodes as dynamic characteristics capturing part. Recursive maximum correntropy criterion is used to enhance the robustness of randomized RBLS for online learning. With the randomized structure and online robust learning method, the system can be updated efficiently and shows better performance against the outliers and impulsive noise.
Constitutional study on the public participation audit system

헌법이 부여한 권력에는 항상 책임이 따른다. 여기서 책임은 주인에게 위임받은 행위의 정당성을 주인에게 설명하고 정당화할 의무를 의미한다. 감사제도는 국가 권력에 책임성을 확보하는 핵심 제도이다. 국민참여감사는 주인이 직접 나서서 국가 권력의 책임성 검증을 요구하는 제도이며, 이를 통해 주인이 국가 운영의 방향과 결정권의 행사 내용을 정할 충분한 정보를 획득하는 절차이자, 타락한 공복을 골라내기 위한 심판의 칼날이다. 본 연구는 지금까지 국내에서 충분히 활성화되지 못한 국민참여감사제도에 대해 그 원인과 개선방안을 헌법적 시각에서 찾고자 시도하는 연구이다. 이를 위해서 먼저 한국 헌법상 국민참여감사제도의 헌법적 의의와 근거를 검토하였다. 그 결과 국민참여감사제도는 민주적 통제절차, 합법성 감시절차, 시민의 정보접근절차, 정치적 의사표현절차 등의 헌법적 의의를 가지고 있다는 점을 확인했으며, 헌법적 근거로는 국민주권원리, 표현의 자유와 알권리, 청원권 및 헌법 제37조 제1항 등이 있음을 논증하였다. 이후 현행 국민참여감사제도의 구체적 내용과 운영 현황을 검토하였으며, 그 결과 일정한 문제점과 미비점이 존재함을 알 수 있었다. 이를 개선하기 위한 방안으로 감사청구권의 기준 연령 하향 조정, 국민감사와 공익감사의 통합과 법적 근거의 정비, 청구 요건의 개선 등을 제시하였다. 감시받지 않는 권력은 부패한다. 권력에 대한 감시가 소홀해지는 순간 언제든지 국민을 위해 사용되어야 할 힘과 재원은 부패한 자들의 배를 불리게 된다. 감사청구권은 국민 스스로 자신의 기본권을 지키기 위한 하나의 도구적 권리로 인식하고 적극적으로 이를 활용하고 주장할 수 있는 법적 근거를 마련해나가야 할 것이다.Power vested in the Constitution always comes with accountability. Accountability means an obligation to explain and justify the legitimacy of an act entrusted to the owner. The audit system is a key system that secures accountability to state power. The public participation audit is a system in which the owner himself demands verification of the accountability of the state power, and through this, the owner obtains sufficient information to determine the direction of the state s operation and the exercise of the right to decide, and the blade of judgment to select corrupt officials. This study attempts to find the cause and improvement of the public participation audit system, which has not been sufficiently activated in Korea so far, from a constitutional perspective. For this purpose, the constitutional significance and grounds of the public participation audit system were reviewed under the Korean Constitution. As a result, it was confirmed that the public participation audit system had constitutional significance, such as democratic control procedures, legitimacy monitoring procedures, citizens information access procedures, and political expression procedures. And the constitutional basis of this system is the principle of national sovereignty, freedom of expression and the right to know, the right to petition and Article 37 paragraph 1 of the Constitution. In addition, the details and operation status of the current public participation audit system were reviewed, and as a result, certain problems and deficiencies were found. As a way to improve this, the standard age of audit claims was lowered, the integration of national audits and public interest audits, the readjustment of legal grounds, and the improvement of claim requirements were proposed. Unmonitored power corrupts. As soon as the monitoring of power is neglected, the power and resources that should be used for the people at any time will be multiplied by the corrupt. The right to audit claims should be recognized by the people themselves as a tool to protect their basic rights and should provide legal grounds for actively utilizing and asserting them.
Rancangan Animasi Media Pembelajaran Bahasa Inggris Ke Indonesia Untuk Anak Usia Dini Berbasis Adobe Flash

Information technology is used to control data, process, obtain, organize, store, and manipulate data to produce quality information. Humans cannot be separated from education, which is education is an informal activity. Education is important at the early age of children is English. English is one of the international languages used to communicate throughout the world. Also, interactive and interesting learning media can help to attract children's interest in learning. Therefore, this research was conducted to produce an interactive design English learning media to Indonesian at an early age young learners using Adobe Flash.
Gendered Ambiguous Pronouns (GAP) Shared Task at the Gender Bias in NLP Workshop 2019

The 1st ACL workshop on Gender Bias in Natural Language Processing included a shared task on gendered ambiguous pronoun (GAP) resolution. This task was based on the coreference challenge defined in ...
Developing Android-Based Semester Examination Applications for Vocational High School

This research is conducted for developing android-based semester examination applications named “Flyexam” and “FlyExambrow” which can be accessed through Android mobile phone. The purpose of this research is to create integrated applications which shall support computer-based semester examination for the students of Vocational High Schools, they are one server application and one Android-Based Client Application, both shall be developed in such a way so as to be valid and practical. The research applies Research and Development (R&D) method by adopting 4D model, namely Define, Design, Develop, and Disseminate. Two experts in media application and two experts in web-based application shall examine the validity of the applications. The prospective users of the applications, namely the students and the teachers of Vocational High Schools shall be involved in the trial of the applications and in filling-in relevant questioners so as to know the practical value of the applications. Results of the research showed that the applications are considered valid with 89% validity score and 83% practicality score. Therefore, it can be concluded that this Android-Based Semester Examination Applications are valid and practical for use.
A STUDY ON THE CODE SWITCHING IN CONVERSATIONS BETWEEN THE SECOND YEARS STUDENTS OF JUNIOR HIGH SCHOOL

This research aimed at finding out: (1) whether the students use code switching in conversations; (2) the types of code switching used in conversations between the second year students of Junior High School; (3) the reasons why the students switch their language during the conversations. This research used descriptive method. Subject of the research was the second year students of SMPS Yos Soedarso Jerebuu. The result of this research was: (1) the students used the code switching in conversations (2) two types of code switching occurred during the conversation, there were: Intra-sentential Switching (IntraS) which is which occurred 7 times and Inter-sentential Switching (IntrS) which is the most frequently used (8 times) by the students during the English conversation, and (3) the reasons of students switched his or her language were: talking about particular topic which occurred 2 times, being emphatic about something which occurred 5 times, intention of clarifying the speech content for interlocutor which occurred 5 times, to soften or strengthen request or command which occurred once and because of lexical needs which occurred 4 times.
GALILEO@UGA Subject Guides: Library at a Distance: The Basics: Home

These tutorials complement the information presented in the recent Library at a Distance: The Basics webinar.
A Study on Multi-class Classification of Breast Cancer Images using Ensemble Network and Transfer Learning

Background: Breast cancer causes millions of deaths all over the world every year. It has become the most common type of cancer in women. Early detection will help in better prognosis and increase the chance of survival. Automating the classification using Computer-Aided Diagnosis (CAD) systems can make the diagnosis less prone to errors. Multi-class classification and Binary classification of breast cancer is a challenging problem. Convolutional neural network architectures extract specific feature descriptors from images, which cannot represent different types of breast cancer. This leads to false positives in classification, which is undesirable in disease diagnosis. Methods: The current paper presents an ensemble Convolutional neural network for multi-class classification and Binary classification of breast cancer. The feature descriptors from each network are combined to produce the final classification. In this paper, histopathological images are taken from the publicly available BreakHis dataset and classified into 8 classes. Results: The proposed ensemble model can perform better when compared to the methods proposed in the literature. The results showed that the proposed model could be a viable approach for breast cancer classification. Conclusion: In this paper, an approach for multi-class classification on the breast images for cancer detection is proposed. The proposed architecture can be a viable option for the classification of histopathology images.
Character Based Private Coordinating over Re-appropriated Scrambled Datasets

With wide use of cloud computing and storage administrations, touchy information is progressively unified in to the cloud to reduce back the administration expenses, which raises worries about data protection. Encryption is a promising alternative to hold the secrecy of outsourced touchy data, regardless it makes viable data use to be a truly task that is testing. In this paper, we focus on the problem of private coordinating over outsourced scrambled datasets in character based cryptosystem that will disentangle the administration that is authentication.
Exploratory Approach on Revamping the Performance Appraisal System and Enhancement of Quality Education in B-Schools

The research paper makes an effort to assess the existing outlay of Indian B-schools(Business Schools imparting education on management discipline) in relation to performance appraisal system and quality Enhancement.Aim-The objectives of the study are to find dimensions of the performance appraisal system that is followed by the B-Schools in India and examine the various focus areas of how to enhance the quality of education.Methodology-The research methodology for the study is fixed to be exploratory design that determines the role of performance appraisal system in the enhancement of quality education and latter part confirms the outlay from the exploratory design.The study has involved 298 teaching faculty members of different grades to get their opinions towards the issues.The primary data were collected with the help of structured interview schedule based on which respondents were interviewed from the B-schools of five states involving Bihar, Jharkhand, West Bengal, Orissa and Madhya Pradesh in India.The data analysis is carried out with exploratory factor analysis using SPSS and confirmatory factor analysis in AMOS.Results-The study found that Dimension -I-Performance Centric and Supportive Management, Dimension -II-Performance Pay and Evolving Appraisal System and Dimension -III-Environment for Improving Performance.The focus areas of quality education are found to be Clarity of Outcome based Learning and Modern Techniques, Exposure to Real Environment and Consistent Evaluation and Assessing Individualistic Performance and Feedback which were evident from the stakeholders involved in the study.
Issue Based OCR Error Prediction in Video Streams

This paper increases the reliability of Optical Character Recognition (OCR) systems in natural scene by proposing a novel Image Quality Assessment (IQA) system. We propose to increase reliability based on the principle that OCR accuracy is a function of the quality of the input image. Detected text boxes are analyzed regarding their OCR score and different quality issues, such as blur, light and reflection effects. The novelty of our approach is to model IQA as a classification task, where one class represents high quality elements and each of the other classes represent a specific quality issue. We demonstrate how this methodology allows the training of IQA systems for complex quality metrics, even when no data labeled with the desired metric is available. Furthermore, a single IQA system outputs the quality score as well as the quality issues for a given image. We built on publicly available databases to generate 60k text boxes for each class and obtain 97,1% classification accuracy on a test set of 24k images. We conclude that the learnt quality metric is a valid indicator of common OCR errors by evaluating on the ICDAR 2003 Robust Word Recognition dataset.
Research Guides: Writing 100 Library Guide: Writing & Citing

This guide supports the Writing 100 course with information on use of library search tools and resources, as well as providing guidance for MLA and APA formatting.
Optimasi Metode Naïve Bayes Dalam Memprediksi Tingkat Kelulusan Mahasiswa Stekom Semarang

Data about graduating students can provide useful information for universities if used optimally. One way to utilize data about students who are passed is by processing it using data mining. With this data mining process, structures or rules can be found that can be used for information such as predictions of student graduation. From the results of the research conducted from the initial to the final stages by using the naive bayes method for the prediction process, it was concluded that the methods of applying naive bayes algorithms used 14 (fourteen) parameters, namely date of entry, class, npm, name, stekom, branch, graduation date, no. diploma, credits, GPA, starting guidance, guidance guidance, study period and student status accuracy rate of 95.14%. Then for graduation prediction using the date of entry the result that students graduate on time is the change date between November 1 and 29