Reviewerly/exHarmony huggingface dataset:
A deep fast learning framework towards exploring Imbalanced data and Multi-class Drift in Evolving Data Streams

Data stream classification poses great challenges in the text based data mining community towards handling evolving data stream. Identification of feature evolution and imbalanced data on the class generated is an important research area for data stream classification on employing of traditional machine learning classifiers. Class evolution and drift is the phenomenon of class emergence and disappearance. Due to class evolutions, performance of the learning model degrades drastically over time. Class evolution problem has been handled on analysis of feature drift and multi class drift. Multi-class drift occur according to probability and time, is categorized as sudden, gradual and recurring drift. Multi class drift has been captured by proposing a new framework in this paper which is named as “Deep Fast Learning Framework”. Initially feature has been extracted using ensemble of technique such as Incremental Kernel Principle Component Analysis, Incremental linear Discriminant analysis and Incremental Linear Principle Component Analysis. These techniques for feature extraction have treated as online feature extraction process. Extracted feature has been processed in the deep fast learning classifier framework which is composed of hybrid ensemble classifiers which follows chuck based ensemble and online ensemble classifiers in parallel on basis of gradual class evolution on block of data on the data streams in form of features. Base learner or classifier has been established using deep neural network to generate the fast learning model on deep analysis of the features obtained and its relationship with existing classes on continuously updating the learner by replacing the older model with newly trained model. Further Base learner will remove the emerging classes which is least utilized and detect the recurring classes on basis of the feature obtained easily. This model is effective in determining the novel classes and recurring class to features which has the possibility of multi class drift. Finally class imbalance problem has been handled on employing under sampling method for base learning model. Experimental results has proved the superiority of the proposed framework on benchmark dataset against state of art approaches on the performance measures such as precision , recall and f measure.
한국어(KSL) 읽기 교재개발 방안 연구 - 이주 배경 예비중학생 중급 -

This study is meaningful in that it sought a development plan for reading textbook for pre-middle school students in the background of migration and suggested the reality. In addition, there is a discrimination between separatist reading materials used in intensive reading classes for pre-middle school students in the background of migration. It adopted teaching subjects that mixed subject matter and functions through field situations and Korean teacher and student needs analysis. Development textbook is based on material actually used and collected in the field. Eight sections and 16 themes were selected and operated selectively in class. This study selects cultural items to accumulate background knowledge considering the living environment of the learner and various reading activities. The learner variables are very complex, with a heavy class preparation. The fact that there are not many materials used in intensive reading education is that it contains various types of sentences and themes. To arrange an organized and long sentence between the text and sections, considering the difficulty between sections. We focused on composing reading strategies to learn in the process of various arrangements and activities of reading activities.(Inha University)
Scale decomposition in Burgers' equation

The wavelet representation of a time-dependent signal can be used to study the propagation of energy between the different scales in the signal. Burgers’ evolution operator (in 1 and 2 dimensions) can itself be described from this scaling point of view. Using wavelet-based algorithms we can depict the transfer of energy between scales. We can write the instantaneous evolution operator in the wavelet basis; then large off-diagonal terms will correspond to energy transfers between different scales. We can project the solution onto each fixed-scale wavelet subspace and compute the energy; then the rate of change of this energy by scale can detect and quantify any cascades that may be present. These methods improve the classical Fourier-transform-based scale decomposition which uses the notion that wavenumber equals scale. The wavelet basis functions underlying our scale decompositions have finite, well-defined position uncertainty (i.e., scale) whereas Fourier basis functions have formally unbounded position uncertainty.
메이크업 교육을 위한 VR 콘텐츠 개발의 필요성에 관한 연구

This study aims to identify the educational characteristics and advantages of VR content as a way to improve the ability of makeup tasks and to reveal the need for the development of classroom tools that enable learning and training without limitation of time, space, and environment by utilizing VR in makeup education. Results VR contents actively engage learners within interesting space of virtual reality and design process for problem solving initiative and promote high-level thinking such as creativity and critical thinking ability. VR also gives a realistic sense of reality and can manipulate the size or shape of the model as desired, enabling the design of a variety of content. Thus, the development of VR content will make makeup education more efficient, requiring a variety of models and contextual conditions. It will be more effective in the field of beauty that requires repeated training. It is also expected that if VR contents are activated by network establishment and various devices for classes using VR, the reduction of time, space, cost, etc., and the satisfaction of learners' classes will be increased and their proficiency will be improved.
Diseño e implementación de un modelo ad hoc para la evaluación de la producción oral de textos en inglés

This paper reports on an experience in the design and implementation of an ad hoc model of evaluation of the production of oral texts in English as a foreign language. The experience was part of an integral project of quality and pedagogical management evaluation requested by a private school in the province of Buenos Aires. This article, although mainly descriptive, aims at formalizing the experience in academic terms and offering some reflections on the usefulness and feasibility of the model and the instruments used. The methodology involves the definition of constructs, domains and sub-domains, performance criterion-reference indicators, definition of the sample, design of instruments which consisted in problem-solving tasks, register with digital means, and cross reference analysis. Although some findings about the students’ performance are presented here, the true results consist in the positive assessment achieved by the professionals responsible for the model, and shared here with the academic community. New implementations of the model, duly documented with that purpose, should contribute to higher degrees of internal validity.
The Effectiveness of Instagram in Improving Eighth Graders’Writing Skill at MTsN 3 Banjarmasin

ABSTRACTElisa Putri. 2018. The Effectiveness of Instagram in Improving Eighth Graders’Writing Skill at MTsN 3 Banjarmasin. Thesis. English EducationDepartment, Tarbiyah and Teachers Training Faculty. Advisors:(I) Rusnadi, S.Pd.I, M.Pd.I, MA, (II) Nur Alfa Rahmah,M.Pd.Keywords: Social media, Instagram, Writing, Recount text, Descriptive text.The use of social media becomes more popular for people nowadays. Socialmedia are web-based applications that allow users to communicate, collaborate, andshare resources with other people. Social media make it easy for users to access anduse social media to be a very effective tool for communicating and exchanging ideas.The many people use social media include students. The popularity of social mediabetween students can be used as a language teaching tool. One of popular socialmedia is Instagram. This is a social network that can be used to take pictures andvideos, and share publicly or privately on the application. This study aims to researchthe effectiveness of Instagram in improving eighth graders’ writing skill at MTsN 3Banjarmasin. The subjects of the research were 30 students of VIII-H. Instagram wascreated as a place for students to write descriptive text and recount text. Finally,researcher took idea of writing activities on Instagram from photo inspiration.Writing tests including pre-test and post-test were used as instrument of collectingdata.The result of post-test showed that when they wrote descriptive text andrecount text using Instagram; the students became more attentive, they liked to ask,become more active and happier. The researcher found that the students writing skillusing Instagram had increased. The result of recount text, showed that T count is -10.204. sig (2 tailed) is 0,000 and sig ≤ 0.05. Thus, T table 5% = -10.204 ≥ 2.042. Theresult of descriptive text, T count is -10.448. sig (2 tailed) is 0,000 and sig ≤ 0.05. Thus,T table 5% = -10.448 ≥ 2.042. If T count is higher than T table., H0 (Null Hypothesis) isrejected and Ha (Alternative Hypothesis) is accepted. The result of the study revealedthat Instagram as learning tool is effective for language learning activity.
The Correlation between Pre-Service EFL Teachers’ Grammatical Competence and Writing Performance

This correlational research was conducted to investigate whether or not there is a correlation between grammatical competence and writing ability. To attain the objective,the data were the available document taken from the Faculty of Education and Teachers Training at Universitas Kristen Indonesia. The data were the 30 regular students’ scoresof Writing I and II and Grammar I, II and III. The participants were in the fifth semester of 2012 batch of English teaching study program of the Christian University of Indonesia. The data were analyzed by using SPSS version 23. The result showed that there was a positive moderate and significant correlation between grammatical competence andwriting ability. This can be seen from the calculation of the hypothesis test. Based on the result, it can be concluded that the higher student grammatical competence, the higher his writing ability is.
THE EFFECT OF COMMUNITY LANGUAGE LEARNING AND EMOTIONAL INTELLIGENCE ON STUDENTS’ SPEAKING SKILL

Abstract: The research objective is to find out the effect of the Community Language Learning method and the Emotional Intelligence on students’ speaking skill at the eighth grade of SMP Darussalam Ciputat. This research used a quasi-experimental with factorial design which involved 60 students as the sample, (as the experimental and the control group), who were chosen by using purposive sampling technique. The research data were collected through test of speaking skill, and the questionnaire to test emotional intelligence. The data were analyzed by factorial ANOVA test. This study’s findings revealed that: (1) Community Language Learning (CLL) method is more effective in enhancing students’ English speaking skill than the conventional method. (2) The students who have a high level of emotional intelligence are better in speaking skill than those who have a low level of emotional intelligence. (3) There is no interactional effect between teaching method and emotional intelligence (EI) on the students’ speaking skill. Abstrak: Tujuan penelitian ini untuk mengetahui pengaruh metode Pembelajaran Bahasa Komunitas dan Kecerdasan Emosional terhadap Keterampilan Berbicara Siswa Kelas VIII SMP Darussalam Ciputat. Penelitian ini menggunakan eksperimen semu dengan desain faktorial yang melibatkan 60 siswa sebagai sampel (kelompok eksperimen kontrol), dengan teknik purposive sampling. Instrumen terdiri dari tes keterampilan berbicara percakapan, dan angket kecerdasan emosional. Analisis data dilakukan dengan uji ANOVA faktorial. Hasil penelitian menunjukkan bahwa: (1) Metode Community Language Learning (CLL) lebih efektif dalam meningkatkan keterampilan berbicara bahasa Inggris siswa daripada metode konvensional. (2) Siswa yang memiliki kecerdasan emosional tingkat tinggi memiliki keterampilan berbicara yang lebih baik daripada siswa yang memiliki kecerdasan emosional tingkat rendah. (3) Tidak ada pengaruh interaksional antara metode pengajaran dan kecerdasan emosional (EI) terhadap keterampilan berbicara siswa. Artinya, siswa tingkat IE tinggi pada metode CLL maupun konvensional lebih baik daripada tingkat IE rendah.
Thoreau’s Theological Critique of Philanthropy

Chapters 3 and 4 will argue that Thoreau’s sociality and politics, as described in Chapters 1 and 2, are part of something broader, a tradition of thinking and doing and living – a religion you might say – that Thoreau received through diverse sources and that, through Thoreau, had diverse impacts after him.
LibGuides: Using Academic Sources: Deeper Reading

This is a companion guide to Finding Academic Sources. Its goal is to make student researchers more comfortable with using scholarly material in their own research.
이유 표현 유사 문법 ‘-아/어서’, ‘-(으)니까’, ‘-기 때문에’의 사용역 연구

The purpose of this study is to examine the registers of similar grammatical expressions of reason, such as “-aseo/ eoseo,” “-eunikka,” and “-gi ttaemune.” To this end, the study constructed spoken and written , formal and informal corpus and analyzed the frequency of their usage. Then, it tested their statistical significance using the G-test (G-Squared). The major findings of the study are as follows. First, “-aseo/ eoseo,” “-eunikka,” and “-gi ttaemune” were all used more often for spoken registers. Second, “-aseo/eoseo” and “-eunikka” were used more often for informal registers, while “-gi ttaemune” was used more often for the formal register. Based on these findings, the study discussed a measure to incorporate information about the registers into Korean grammar education in detail.
Portable Doc Case / Noor Farah Diyanah Ismail

In this current situation, people like the thing that can ese their life. In order to fulfil the demand, I came out with the idea of Portable Doc Case. I focus on worker and student population which are still using a bag to their office or campus. Therefore, we have designed the product suitable to customers need. Plus, the Portable Doc Case have many advantages compared to others common briefcase because we develop some new function such as many compartments, have searching code, attachable and not easily torn. Our product has great quality and technology that can satisfying people. We applied the hardy and light element because it will ease our customer to bring it anywhere, they go. Furthermore, we provide the affordable price with high quality material and provide long lasting product. We develop some new function to overcome the problem from previous issues that happen when use the common briefcase. People do not have to worry about the future problem because we provide great function from our briefcase. Other than that, we implement with interesting design that will attract people to use and easy to carry wherever they bring.
Accelerated HOG+SVM for Object Recognition

A novel acceleration strategy is presented for computer vision and machine learning field from both algorithmic and hardware implementation perspective. With our approach, complex mathematical functions such as multiplication can be greatly simplified. As a result, an accelerated machine learning method requires no more than ADD operations, which tremendously reduces processing time, hardware complexity and power consumption. The applicability is illustrated by going through a machine learning example of HOG+SVM, where the accelerated version achieves comparable accuracy based on real datasets of human figure and digits.
SISTEM INFORMASI PENJADWALAN DAN PENCATATAN KUNJUNGAN SERTA PERKIRAAN IBU HAMIL MELAHIRKAN PADA BIDAN PRAKTIK MANDIRI (BPM)

Midwife practice is an independent community service agency that provides care within the scope of midwifery practice. Midwifery practice is the application of midwifery in providing midwifery services or care to clients with a management approach.In the Independent Practice Midwife (BPM) midwives usually calculate the estimated maternal birth and scheduling family planning (KB) and pregnancy examinations using the manual method (counting / using a pregnancy calendar) and in processing, storing data and payment of patients still with limited manual bookkeeping. Midwives are limited to making it into a ledger because there is no data processing program yet. Difficulties faced by midwives include seeking information on the patient's visit history and need time to provide information (estimated delivery, gestational age and re-control schedule) to the patient. To overcome these obstacles, we need an information system that is expected to facilitate midwives in conducting data processing and calendar calculation processes quickly and easily. With this information system, midwives can do their jobs easily so they can provide better services. This application was created using Visual Basic 2010 and Microsoft Access programming languages.The final result of this research is the creation of an information system that can be used to facilitate the processing and search of data in the midwife practice of independent practice. With this information system, the existing obstacles can be overcome.
Guides: Keep Learning: Remote Access to Library Research, Services, & Instruction: Success Center Resources

This guide will help you discover library research and instructional support resources that are available when you aren't able to visit the Baylor Libraries.
Education challenges in the knowledge society

Aiming at equal opportunities in education; transforming learning process within educational institutions; adapting taught skills to the new and dynamic work requirements; fostering citizen education; contributing towards competitiveness and global world economy inclusion, are some of the challenges faced by the educational system in the knowledge society. In such scenario, this study assesses the educational system panorama in Latin America and the Caribbean together with the flow of in force reforms. Besides, the authors discuss what they believe to be the main challenges for the current education agenda
A série de normas ISO 30300 como instrumento de governança informacional em organizações privadas: um estudo exploratório

This paper aims to present standards of ISO 30300 series as a theoretical-methodological-practical framework for the governance of records management services in macro archival science perspective in private organizations. This study has an exploratory character and presents a proposal of reflection for archivists and managers of archives and records management. We assume that there are few approaches that address archival specificities of private organizations. It demonstrates the work of International Standard Organization – ISO in the development of the most important standards concerning Archival Science. It presents and analyzes the methodology for implementing standards of ISO 30300 series. It concludes that the 30300 series standards framework can contribute for archivists to develop the capacity to act as archival information managers proposing governance solutions in private organizations. It also considers the cross-sectional perspective of the 30300 series standards and that goes beyond the borders of the Archival Science field to comply with governance procedures in private organizations. It suggests the publication of works such as experience reports and case studies to verify the efficiency of projects implementing ISO standards used in Brazil.
Effect of Environmental Cost Disclosure on Profitability of Listed Oil and Gas Firms in Nigeria

The objective of this study was to ascertain the effect of environmental cost disclosure on profitability of oil and gas firms listed on Nigeria Stock Exchange between 2010 and 2019. Eleven (11) listed oil and gas firms were purposively sampled. The proxies for environmental cost disclosure include waste management cost disclosure, employee health and safety cost disclosure and environmental remediation cost, while net profit margin was employed as profitability measure. Content analysis was employed while Pearson Correlation Coefficient and Panel Least Square (PLS) Regression analysis via STATA 13 statistical software were used to test the hypotheses of the study. The result of this study showed that waste management cost disclosure, employee health and safety cost disclosure and environmental remediation cost disclosure have a significant positive effect on net profit margin at 5% level of significance respectively. This study therefore recommends inter alia that since environmental cost is value relevant in making strategic business decision. Thus, oil and gas firms should constantly reposition their accounting system in order to provide information on environmental cost so that the true costs in an organization can be ascertained and properly allocated.
Implementation of knowledge management system in cattle farming

Cattle are the livestock of the Bovinae family and subfamily Bovidae. They have been raised for beef and dairy products. Nowadays, beef production does not meet national needs. This is influenced by several factors. One of them is the farming pattern. However, knowledge about cattle farming is still scattered and unstructured. Knowledge Management System (KMS) offers a knowledge system that can be used to create, collect, store, maintain and disseminate knowledge. In this study, KMS for cattle farming has been implemented using the Knowledge Management System Life Cycle (KMSLC) method. The research results are web-based applications regarding cattle farming management that have been tested by experts and users, with the average test results declared good. The features possessed by this KMS application are knowledge capture, knowledge sharing, and knowledge application systems so that they can share knowledge between one user and another. In addition, this application is equipped with a discussion forum that can serve as a place to interact with fellow users or with experts.
Quality-driven Design of Deep Neural Network Accelerators for CPS and IoT Applications

Ahstract-This paper presents the results of our analysis of the main problems that have to be solved in the design of highly parallel high-performance accelerators for deep neural networks (DNN) used in Cyber-Physical System (CPS) and Internet of Things (IoT) devices, in application areas such as smart automotive, health and smart services in social networks (Facebook, Instagram, Twitter), etc. Our analysis demonstrates that to arrive at a high-quality DNN accelerator architecture, complex mutual trade-offs have to be resolved among the accelerator micro- and macro-architecture, and the corresponding memory and communication architectures, as well as, among the performance, power consumption and area. Therefore, we developed a multi-processor accelerator design methodology involving an automatic design-space exploration (DSE) framework that enables a very efficient construction and analysis of DNN accelerator architectures, as well as, an adequate trade-off exploitation. Keeping in view the large on-chip memory demands for DNN, we extend our quality-driven model-based multi-processor accelerator design methodology with some novel data reuse techniques. Currently, we are beginning to apply this methodology with the proposed data reuse techniques to the design of DNN accelerators for IoT applications.
2015 개정 고교 영어 교과서 분석과 교사의 교과서 사용 실태 및 인식에 관한 연구

This study analyzes 2015’s revised high school English textbooks and examines school teachers’ usage and perception of these books, along with the...