Reviewerly/exHarmony huggingface dataset:
Data Pipelines for Personalized Exploration of Rated Datasets

Rated datasets are characterized by a combination of user demographics such as age and occupation, and user actions such as rating a movie or reviewing a book. Their exploration can greatly benefit end-users in their daily life. As data consumers are being empowered, there is a need for a tool to express end-to-end data pipelines for the personalized exploration of rated datasets. Such a tool must be easy to use as several strategies need to be tested by end-users to find relevant information. In this work, we develop a framework based on mining labeled segments of interest to the data consumer. The difficulty is to find segments whose demographics and rating behaviour are both relevant to the data consumer. The variety of ways to express that task fully justifies the need for a productive and effective programming environment to express various data pipelines at a logical level. We examine how to do that and validate our findings with experiments on real rated datasets.
after-bathing beauty

Research Article| May 01 2020 after-bathing beauty RC deWinter RC deWinter RC deWinter’s poetry is anthologized, notably in Uno: A Poetry Anthology (2002), New York City Haiku (2017), Cowboys & Cocktails (2019), Nature In The Now (2019), in print in 2River, Adelaide, Genre Urban Arts, Gravitas, In Parentheses, Night Picnic Journal, Prairie Schooner, Reality Break Press, Southword, Variant Literature among others and appears in numerous online literary journals. Search for other works by this author on: This Site Google the minnesota review (2020) 2020 (94): 23. https://doi.org/10.1215/00265667-8128125 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation RC deWinter; after-bathing beauty. the minnesota review 1 May 2020; 2020 (94): 23. doi: https://doi.org/10.1215/00265667-8128125 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search Books & JournalsAll Journalsthe minnesota review Search Advanced Search The text of this article is only available as a PDF. Copyright © 2020 RC deWinter2020 Article PDF first page preview Close Modal You do not currently have access to this content.
Optimizing Combinations of Teaching Image Data for Detecting Objects in Images

Recently, large amounts of images serving as teaching image data can be prepared when a system detects objects in images using deep learning. However, the accuracy of detecting these objects is often low, because the system has not previously learned the background images of the objects. This paper proposed a method that optimizes a combination of images as teaching image data using dynamic programming (DP). First, the system created mask data, which serves as a reference for comparing with the teaching image data. The system calculated an image feature distance and a similarity of colors between the mask data and each image. Then, the system calculated the sum of the optimum feature’s distance at each specified similarity rate using DP. Then, the system determined whether each image was selected using a suitable combination of the teaching image data in the process of DP via back-calculating. It was expected that the proposed method would be effective for detecting objects in an image with a more complicated background.
Elements of Smart Computer Graphics – A Potential Basis for New Experimental Method of Teaching and Learning

This paper outlines the possibilities of implementing the elements of smart computer graphics (applets and animations) into the curriculum of science-oriented school subjects. Applet is a purposeful (especially educational) program, which was developed on the platform of modern elements of smart computer graphics. These elements allow us to visualize technical and natural objects, phenomena or processes in such a degree of clarity which cannot be achieved by traditional ways of visualisation or by using traditional technological techniques. To be more specific, thanks to computer animations and simulations it is possible to slow down, speed up or shred the processes over time as well as phenomena taking place in natural systems. Moreover, we are able to visualize objects that cannot be seen with the naked eye because of their size (too small or too large), inaccessibility to humans or, in fact, their non-existence. Application components called Interactive Computer Graphics (hypertext, drag and drop, etc.) as well as Flash animations included into the teaching-learning process are together with a comprehensive methodology of their application, a part of newly designed teaching method. The efficiency of this method is verified by pedagogical experiment.
LibGuides: Updates to Libraries' Services: Access to Collections/Resources

Relevant information related to ODU Libraries operations, resources and services during the ongoing COVID-19 crisis.
HIJAB BAGI WANITA MUSLIMAH DI ERA MODERN

In modern times, clothing is not only used as self-protection, but also has its own trends. In Islam clothing that is used has its own rules between men and women, namely for men from the navel to the knees, while for women that is all limbs except the face and palms, but many scholars have different opinions on these limits. Clothing used by these women, in Islam, known as the hijab. Hijab is one type of clothing that is synonymous with women. By using the hijab, such women can not be free to move, therefore hijab women become discriminated in certain areas. But hijab women are now the object of archery for the insurance industry because of the rise of hijabers that increasingly exist both in the real world and in the virtual world with the help of social media that is booming. Then came the sharing of businesses in the field of wisdom. That must be remembered in this hijab fashion in accordance with Islamic religious rules. The method used by the author in making scientific works is to use field research methods, by looking at overall what is happening in the community. Key Words: Veil, Clothing ,  Woman, Modern
Growth Trajectory of Learning-centered English Class and its Relation with Teacher Professional Development Activities

이 연구는 경기교육종단연구 1-3차년도(2012-2014년) 중학생 938명의 데이터를 활용하여 혁신학교의 수업혁신인 배움중심 영어수업의 성장추이를 알아보고 그 성장추이에 영향을 미치는 교사 활동 변인들을 분석하였다. 분석 방법으로는 고차잠재성장모형(Curve-of-Factors)을 적용하였다. 분석 결과, 혁신중학교의 배움중심 영어수업 평균의 초깃값과 변화율은 모두 정적인 방향을 나타냈으며 통계적으로도 유의한 것으로 파악되었다. 이는 혁신중학교 1학년 때 배움중심 영어수업이 잘 시행되고 있고, 중학교 3년 과정에 걸쳐 배움중심 영어수업 시행 정도도 증가하고 있다고 학생들이 인식한다는 것을 의미한다. 배움중심 영어수업의 성장에 영향을 미치는 영어교사 전문성 개발 활동 변수들을 살펴보면, 단위학교 차원의 교과협의회와 교사의 자생적 연구단체 활동이 배움중심 영어수업의 초깃값에 정적 영향을 미치는 것으로 나타났다. 그러나 교육청 차원의 수업컨설팅과 교과교육연구회 활동은 부적인 영향을 미쳤다. 3년 동안 변화율과 관련해서는, 교육청 차원의 수업컨설팅 활동은배움중심 영어수업 변화율을 증가시키지만, 자생적 연구단체 활동은 감소시킨다고 나타났다. 연수와관련해서는 교육과정 관련 연수는 배움중심 영어수업 초깃값에 정적인 효과를 나타냈지만, 수업전문성 관련 연수는 오히려 부적인 효과를 나타냈다. 마지막으로 교사협력 변수는 교수·학습방법과 학생들의 가정환경 및 생활지도에 관한 교사협력이 배움중심 영어수업 초깃값에 정적인 영향을 미치지만, 학생들의 수업태도 및 행동에 관한 교사협력은 부적인 영향을 미쳤다. 이러한 연구 결과를 토대로 혁신학교 중학교 배움중심 영어수업 발달에 필요한 교사 요인과 관련된 정책을 제언하였다.This study was designed to analyze change trends in learning-centered English class (LCEC), which is implemented in an innovation middle school and to investigate the effect of teachers’ professional development activities on the growth of LCEC. This study used the data with 938 students from the 1st to 3rd year (2012∼2014) of the Gyeonggi Education Panel Study (GEPS). A Curve-of-Factors model was employed. The findings indicated that both the initial value (level) and the rate of change of the LCEC were positive and statistically significant. Among the predictors, subject teachers conference and voluntary teacher study group activities influenced positively on the initial value of the LCEC. However, both the instructional consulting and subject study group run by local education office showed negative effects. Regarding the rate of change, instructional consulting showed increasing effects on the growth rate of the LCEC, but voluntary teacher study group activities showed a decreasing effect. In-service teacher training for curriculum showed positive, but training for teaching expertise showed a negative effect. Both teacher collaboration for teaching improvement and student guidance showed a positive effect, but collaboration for students’ class attitude and behavior showed a negative effect. Based on the results, we discussed the prevention policy for the development of LCEC and teachers’ professional development activity factors in the foreign language learning context.
Understanding changes in environmental time series with time-frequency causality analysis

&amp;lt;p&amp;gt;Understanding causal effect relationships between the different variables in dynamical systems is an important and challenging problem in different areas of research such as attribution of climate change, brain neural connectivity analysis, psychology, among many others. These relationships are guided by the process generating them. Hence, detecting changes or new patterns in the causal effect relationships can be used not only for the detection but also for the diagnosis and attribution of changes in the underlying process.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Time series of environmental time series most often contain multiple periodical components, e.g. daily and seasonal cycles, induced by the meteorological forcing variables. This can significantly mask the underlying endogenous causality structure when using time-domain analysis and therefore results in several spurious links. Filtering these periodic components as preprocessing step might degrade causal inference. This motivates the use of time-frequency processing techniques such as Wavelet or short-time Fourier transform where the causality structure can be examined at each frequency component and on multiple time scales.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In this study, we use a parametric time-frequency representation of vector autoregressive Granger causality for causal inference. We first show that causal inference using time-frequency domain analysis outperforms time-domain analysis when dealing with time series that contain periodic components, trends, or noise. The proposed approach allows for the estimation of the causal effect interaction between each pair of variables in the system on multiple time scales and hence for excluding links that result from periodic components.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Second, we investigate whether anomalous events can be identified based on the observed changes in causal relationships. We consider two representative examples in environmental systems: land-atmosphere ecosystem and marine climate. Through these two examples, we show that an anomalous event can indeed be identified as the event where the causal intensities differ according to a distance measure from the average causal intensities. Two different methods are used for testing the statistical significance of the causal-effect intensity at each frequency component.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Once the anomalous event is detected, the driver of the event can be identified based on the analysis of changes in the obtained causal effect relationships during the time duration of the event and consequently provide an explanation of the detected anomalous event. Current research efforts are directed towards the extension of this work by using nonlinear state-space models, both statistical and deep learning-based ones.&amp;lt;/p&amp;gt;
EKSISTENSI MEDIA PEMBELAJARAN UNTUK MENINGKATKAN MINAT BELAJAR SISWA

The learning process is said to be successful if students get maximum results. Maximum results depend on the extent to which students' interests and motivations are encouraged to take part in learning. Interest and motivation can be grown by several factors, one of which is learning media. Learning media are said to be able to attract students 'learning interest because learning media can attract students' attention, activate students in learning activities, and can concrete abstracts. Therefore it is necessary for the development of instructional media carried out by teachers as educators, so that the learning process can achieve the desired goals. Keywords: Learning Media, Learning Interest, Learning Process
Веб-поиск и адресное распространение информации на основе моделирования вербальных ассоциаций

A mathematical model is proposed for the processes of websites scanning and addressing (selective) distribution of the text information found after the request of users in the form of their information profiles, i. e. accumulated archives of relevant Internet publications. The functional components of such an information system are three subsystems: the subsystem of texts indexing, user archives and short messages; web page scanning subsystem; the subsystem of address distribution of texts and short messages to users. Indexing the texts, archives of users and short messages is reduced to the construction of their verbal-associative networks. The indexing subsystem includes a set of linguistic dictionaries for calculating the informational content of words and verbal-associative links between them. Dictionaries are formed based on the use of publications from user’s archives. Scanning the web pages is carried out on the basis of software solutions in the form of specialized agents, whose main task is to obtain systematically and accumulate new data from updated pages. Scanning is implemented as the sequence determined by a special ordering relationship, which is fixed on the set of web pages of each web site scanned. Distribution of found publications occurs by comparing the verbal-associative networks of these publications and users’ information profiles in the form of search images.
Systematic literature review and case study of the 4th industrial revolution-related trade research

4차 산업혁명 시대의 디지털 혁신은 기술발전 수준, 기술특성, 나라별 기술격차 등 여러 가지 요인에 따라 국제무역에 영향을 미칠 것이다. 본 연구는 4차 산업혁명 관련 무역연구 결과물들의 객관적이고 체계적인 문헌고찰을 통해 포괄적이고 거시적인 4차 산업혁명 관련 무역연구 방향을 이끌어 내고자 하였다. 연구대상의 선정은 학술정보 서비스에서 4차 산업혁명을 주제어로 무역, 통상, 운송, 물류, 관세, 통관, 무역보험, 계약, 무역인력 등의 검색어를 결합하여 도출하였다. 그리고 무역을 주제어로 빅데이터, 블록체인, 스마트, 사물인터넷, 4.0 등의 검색어도 결합하였다. 4차 산업혁명과 관련하여 무역 분야에서 가장 연구가 활발하게 일어나고 있는 분야는 국제물류 분야와 블록체인 기술을 활용한 스마트 무역계약이다. 관세행정, 빅데이터, 전문인력 양성 등에 대한 연구도 일부 실시되었다. 사례연구는 인공지능 무역과 디지털 무역에 관하여 실시하였는데 관련 연구가 촉구되는 분야이다.Digital innovation in the era of the 4th Industrial Revolution will affect trade according to various factors such as technological characteristics, level of technological development, and technological gap between countries. This paper aims to lead a comprehensive and macroscopic direction of trade research related to the 4th Industrial Revolution by objectively and quantitatively reviewing the results of researches that have been studied on the subject of trade related to the 4th Industrial Revolution. The selection of research subjects combines the fourth industrial revolution in the academic information service with search terms such as trade, trade, transportation, logistics, customs, customs clearance, trade insurance, contracts, and trade manpower. In addition, it combines search terms such as trade, big data, blockchain, smart, IoT, and 4.0. In the field of the 4th Industrial Revolution, the most actively researched field in the trade field is the international logistics field and the smart trade contract using block-chain technology. Some research on customs administration, big data, and professional manpower training were also conducted. The case study was conducted on AI trade and digital trade.
Multi-Frame Detection on Board Platform

This work presents a method for utilizing navigational data in multi-frame accumulation by radar on mobile platform observing a small target. We demonstrate that using navigational data allows to raise the signal-to-noise ratio by 8…10 dB
LibGuides: Updates to Libraries' Services: Faculty Instructional Assistance

Relevant information related to ODU Libraries operations, resources and services during the ongoing COVID-19 crisis.
Correlation filter for object tracking with temporal-spatial constraint

Abstract In this work, inspired by the Passive-Aggressive learning (PA), we proposed a Temporal-Spatial Constraint Correlation Filter (TSCF) model to simultaneously constrain the spatial mask and the update direction of the filter. Firstly, the spatial regular term ensures that the background redundancy information does not interfere with the filter update during the tracking process. Secondly, the temporal regular term ensures that the spatial mask and the filter do not change dramatically. Thirdly, our proposed TSCF model can be effectively solved based on the alternate direction method of multiplier (ADMM), where each sub-problem has a closed solution. Finally, our experiments on the OTB100 benchmark shows that our tracker has efficient performance compare with many advanced algorithms, which get an AUC score of 0.599 and an accuracy of 0.794.
An Enhanced Lucene based System for Efficient Document/Information Retrieval

In this paper we implement a document retrieval system using the Lucene tool and we conduct some experiments in order to compare the efficiency of two different weighting schema: the well-known TF-IDF and the BM25.Then, we expand queries using a comparable corpus (wikipedia) and word embeddings.Obtained results show that the latter method (word embeddings) is a good way to achieve higher precision rates and retrieve more accurate documents.
Performance assessment in clay pigeon shooting using machine vision for gaze detection

This study was a part of a wider project with the aim of describing the athletic gesture in the Olympic trap discipline. The study aimed to identify the most relevant ocular features and their contribution to athletic performance, developing solutions to monitor athlete's pupils. The results obtained are promising considering the particular athlete configuration and the uncontrolled conditions characterizing this shooting discipline, but improvements are needed to enhance the required accuracy.
Biblioteca Universitária como mediadora informacional

Atraves de um relato de experiencia apresenta um projeto realizado pela equipe da Biblioteca Universitaria de uma Instituicao Privada de Ensino Superior localizada no norte do estado do Parana. Na busca pela mudanca de conceito, criou-se um nucleo de projetos visando mudar as caracteristicas da biblioteca, que continha praticas que induziam a comunidade onde esta inserida a ter a concepcao de um paradigma enraizado na genese das bibliotecas universitarias. Busca-se assim ressaltar atraves de novas praticas enfatizar sua atuacao em diferentes atividades de ensino, pesquisa e extensao, tornando-se um complemento na formacao dos estudantes e da comunidade. Ressalta que um dos possiveis indicadores de importância a considerar, foi o avanco tecnologico, que propiciou a mudanca de comportamento na busca, uso e disseminacao da informacao, onde resultou no surgimento do desenvolvimento de novas competencias. Assim descreve o projeto denominado, Semana da Mediacao da Informacao, enfatizando em sua primeira edicao o tema, comportamento digital e as fake News, que buscou atender uma necessidade informacional identificada. Conclui-se considerando que o projeto foi importante para a mudanca de conceito, resultando no alcance do objetivo do projeto, a quebra do paradigma existente.   Palavras-Chaves: Biblioteca universitaria. Mediacao da Informacao. Competencia em Informacao. Through an experience report presents a project carried out by the University Library team of a Private Higher Education Institution located in the north of the state of Parana. In the search for a change of concept, a nucleus of projects was created aiming at changing the characteristics of the library, which contained practices that induced the community where it is inserted to have the conception of a paradigm rooted in the genesis of university libraries. Thus, it is sought to emphasize through new practices to emphasize its performance in different teaching, research and extension activities, becoming a complement in the formation of students and the community. It points out that one of the possible indicators of importance to consider was the technological advance, which led to a change in behavior in the search, use and dissemination of information, which resulted in the development of new skills. Thus describes the project called, Information Mediation Week, emphasizing in its first edition the theme, digital behavior and fake News, which sought to meet an identified informational need. We conclude that the project was important for the change of concept, resulting in the achievement of the project objective, the breaking of the existing paradigm. Keywords:  University library. Information Mediation. Information Literacy
Practical Example: Face Recognition

Face recognition is a computer vision problem to detect and identify human faces in an image or video. The first step of facial recognition is to detect and locate the position of the face in the input image. This is a typical object detection task like we learned about in the previous chapters. After the face is detected, a feature set, also called a facial footprint or face embedding, is created from various key points on the face. A human face has 80 nodal points or distinguishing landmarks that are used to create the feature set (USPTO Patent Number US7634662B2, ). The face embedding is then compared against a database to establish the identity of the face.
PERANCANGAN MEDIA PEMBELAJARAN GAME PUZZLE BERBASIS ANDROID UNTUK MENINGKATKAN MINAT SISWA DALAM BAHASA INGGRIS

Technological developments Puzzle games are used in this modern era. It is good if the children's learning media is changed with learning that uses the game especially computer devices for education that can advance the mindset to be more advanced and competitive useful in the world of education more effectively and make someone more positive thinking in everyday life. The purpose of this research to produce game-based learning applications to develop aplikas software-based media learning to make it easier in thinking. This learning media is very well used for elementary school students to help utuk children more widely developed. The stone tool used with MIT Inventor application of this puzzle game is expected to solve the problem. So when children play this game indirectly to learn, with the hope of the spirit of children to learn will be more encouraged and improve the quality of learning children.
Strategi Penggunaan Buku Cerita Bergambar untuk Meningkatkan Kemampuan Membaca Anak Usia 5-6 Tahun Di TK Aisyiyah 7 Mataram Tahun 2019/2020

This study aimed to determine the strategy of using picture story books to improve reading skills of children aged 5-6 years at Kindergarten Aisyiyah 7 Mataram in 2019/2020. This type of was a development research. The subjects of this study were 12 children aged 5-6 years. The indicators studied include: Listening to the story read, mentioning the letters of the letters that are known, recognizing words, reading images and understanding the meaning of images. The data collection method used in this study is the observation method. Data analysis used descriptive qualitative analysis. Children's reading ability can be developed through learning activities using picture story books with steps such as (1) preparing and organizing learning media such as picture story books, (2) introducing learning media such as picture story books, (3) knowing the activities to be carried out with learning media, (4) children sit in groups of 2 people, (5) each group of children chooses 1 picture book to read, (6) children read and display facial expressions according to the story's content in turn. The results of this study indicate that there is an increase in children's reading skills by using a strategy of using picture books. The increase can be seen from the percentage of development I which is 54%, development II which is 72% and in development III which is 89%. In conclusion, that children's reading skills can be developed through a strategy of using picture books.