Reviewerly/exHarmony huggingface dataset:
한국, 프랑스, 독일의 자국어 보급 기관의 교재 비교 - 초급, 중급을 중심으로 -

In this study, native language dissemination institutes in European countries such as France and Germany and the textbooks they are using were analyzed in comparison to King Sejong Institute of Korea and its textbooks. Based on the analysis results, this study suggested improvement directions for Korean language textbooks for Korean language learners from overseas.Based on the results of analyzing the textbooks, improvement directions for Korean language textbooks are summarized as follows.First, textbooks should be constructed so that they present modules containing contents that are essential and key to learning the language and modules containing contents that can be expanded through activities. Through this approach, textbooks can be used with the curriculum of ''King Sejong Institute'', which is operated flexibly reflecting the characteristics of each country and region.Second, with the development of society and science, the times are changing, and so are the educational environment and the needs of learners. Printed textbooks are limited in making corrections immediately according to changing information and should utilize online platform to complement this fault. If materials in E-book form and module format or materials using QR codes are provided online as in the case of ‘Nuri-Sejonghakdang’ currently in operation, it will be extremely helpful for the learners to conveniently adapt to the educational environment of changing textbooks and learn Korean language.Third, textbooks should be constructed so that they do not contain social prejudices or discriminatory factors but contains gender sensitivity based on intercultural stance. They should be constructed so that sensitive subjects and discriminatory factors are not included when presenting background, people, or situations in text as well as in photographic and illustrated materials.This study is meaningful in that it made practical suggestions on ways to improve Korean language textbooks by analyzing textbooks used at ''Alliance Francaise'' and ''Goethe-Institut.'' However, this study is limited in that advanced level textbooks and textbooks for special purpose learners were not reviewed although elementary and intermediate level textbooks were examined. Therefore, it is necessary to extensively examine textbooks for elementary, intermediate, and advanced levels, analyze other textbooks in the curriculum of native language dissemination institutes, and further analyze the textbooks used by national native language dissemination institutes in a wider variety of countries.
A Meta-Analysis of Knee Orthosis Uptake in Reducing Pain in Patients with Knee Osteoarthritis

ABSTRACT Background: Osteoarthritis (OA) of knee joint is a degenerative disease that results in decreased function and pain. Orthotic devices can reduce knee adduction moment, pain, and improve function in knee OA. The purpose of this study was to examine knee orthosis uptake in reducing pain in patients with knee osteoarthritis. Subjects and Method: A meta-analysis and systematic review was conducted by search published articles from PubMed, Science Direct, Google Sscholar, Mendeley, and Clinical key databases. Keywords used “knee orthosis” OR “KO” AND “valgus knee brace” AND “brace” AND “knee support” AND “valgus knee support” AND “osteoarthritis” AND “patellofemoral osteoarthritis” AND “knee pain” AND “effect knee orthosis for osteoarthritis” AND “randomized controlled trial”. The inclusion criteria were full text and using randomized controlled trial study design. The articles were selected by PRISMA flow chart and the quantitative data were analyzed by Revman 5.3. Results: 6 studies reported that knee orthosis uptake reduces pain in patients with knee osteoarthritis (Mean Difference= -0.53; 95% CI= -1.39 to 0.33; p= 0.230) with heterogeneity I2= 95%. Conclusion: Knee orthosis uptake reduces pain in patients with knee osteoarthritis. Keywords: osteoarthritis, pain, knee orthosis, knee valgus brace Correspondence: Atika Febri Anggriani. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: atikaanggriani07@gmail.com. Mobile: 085728794960. DOI: https://doi.org/10.26911/the7thicph.05.44
Εφαρμογή ομαδοποιημένων ταξινομητών στην αναγνώριση συναισθημάτων από δεδομένα εικόνων

In this dissertation we aim to develop and proceed mechanisms for facial emotional recognition. In this case, the ensemble classifiers are used as emotional classification models. Due to the development of technology, human computer interaction has been improved. Furthermore, analyzing facial expression and recognizing their emotional state is a challenging task with various applications in everyday life and in a wide range of science. Also, an evaluation study was conducted by Cohn-Kanade database and Combined Facial database. The last consists of JAFFE and Cohn-Kanade databases. What is more, the above databases contain emotional facial images. Initially, given an image, human faces are detected using the Viola-Jones algorithm and facial expressions are analyzed by an analytical, local-based method. Hence, facial deformations of specific regions such as eyes, eyebrows and mouth are located. Then, geometrical characteristics are extracted from each region. These extracted features represent the facial expression. The classification of these features into the proper emotion is conducted by the ensemble classifiers, AdaBoost and Stacking. In addition, machine learning methods are also used via using base classifiers, such as support vector machines, naive Bayes, multi-layer perceptron neural networks, k-nearest neighbor and the decision tree J48 (C4.5). Specifically, the Stacking method uses a meta-classifier based on machine learning algorithms, such as support vector machines, multi-layer perceptron neural networks, J48 and PART. The experimental study was performed in WEKA. Consequently, the experimental evaluation indicates that the ensemble schemes and mainly the Stacking algorithm showed us very encouraging results. Especially in an experimental study of Stacking algorithm we used as meta-classifiers J48 and PART algorithms. We used as base classifiers the following algorithms, k-nearest neighbor, support vector machine and multi-layer percpetron neural network. Finally, it showed a performance increase of 6% in regards of a previous experimental study and the performance was over the 90%, that was the goal of our main target of our experimental study.
Faster R-CNN as an Application for Object Detection of Scattered LEGO Pieces

The benchmarks for the accuracy of the best performing object detectors to date are usually based on homogeneous datasets, including objects such as vehicles, people, animals and foods. This excludes a whole set of scenarios containing small, cluttered and rotated objects. This paper selects a state-of-the-art object detection model, Faster R-CNN, and investigates its performance on several custom datasets of scattered LEGO pieces. We discover that the model reaches a high F1 score on data with images containing up to 13 bricks and that data manipulation, such as cropping, can further improve this performance. Furthermore, we evaluate how this model can be optimized to perform better on a more complex dataset, showing that tweaking the Faster R-CNN RPN layer results in a higher F1 score for images containing up to 50 bricks. In conclusion, tweaking the RPN layer allows the Faster R-CNN model to reach high performance on datasets containing cluttered images of small LEGO bricks. All data is on the TU Delft server and all code is available at https://gitlab.com/legoproject-group/faster rcnn lego.git.
The Printmakers; sextet, a cincologue of sylph and soul; Come on, get it!

Research Article| October 01 2020 The Printmakers; sextet, a cincologue of sylph and soul; Come on, get it! Fred Moten Fred Moten FRED MOTEN works in the Department of Performance Studies at New York University. His latest book, coauthored with Stefano Harney, is All Incomplete. Search for other works by this author on: This Site Google Jazz and Culture (2020) 3 (2): 181–183. https://doi.org/10.5406/jazzculture.3.2.0181 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Fred Moten; The Printmakers; sextet, a cincologue of sylph and soul; Come on, get it!. Jazz and Culture 1 October 2020; 3 (2): 181–183. doi: https://doi.org/10.5406/jazzculture.3.2.0181 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 All Scholarly Publishing CollectiveUniversity of Illinois PressJazz and Culture Search Advanced Search The text of this article is only available as a PDF. Copyright 2021 by the Board of Trustees of the University of Illinois2021 Article PDF first page preview Close Modal You do not currently have access to this content.
Making Signs Sound

This activity designed for students in Grade 8 aims to help learners translate visual impressions to sound. Learners are provided a graphical score as visual input first, then they go hunting for associative sounds from their immediate environment, which they record and edit afterwards. Finally, they integrate their samples into an experimental live performance of the graphic score using a dedicated hardware/software sampler. Engaging in this process results in learners improving their DAW fluency. The interdisciplinary nature of this project also reinforces the interconnectedness of various art forms and can help students to use other forms of art as inspiration in their future creative endeavors.
LibGuides: Remote Course Support from University Libraries: McCoy College of Business Administration

A Guide for University faculty to the library resources from Texas State University Libraries to support remote teaching.
Employee motivation as an indicator of the desire to continue working: Evidence from SMEs in Bangladesh

The purpose of this study is to explore how employee motivation factors impact on the employee's desire to keep working in SME firms. This study primarily is based on raw data which are collected from 278 employees of SME firms in Bangladesh. Apart from adopting the quantitative method, the Smart PLS 3.0 and SPSS V23 were utilised for analysing the gathered primary data. Furthermore, we predicted ten hypotheses in this study. Our findings assure that a positive and significant relationship among working conditions, salary and incentive, and job stability with employee motivation is sustained which indicates a direct relationship on the desire of employees to continue working in this sector. This study did not find any conventional relationship between the behaviour of presidents and subordinates with employee motivation. This study further demonstrates that employee motivation does not mediate the relationship between behaviour of presidents and subordinates with the desire to continue working.
Educación en redes sociales: Instagram

espanolQue las redes sociales son un fenomeno que alcanza a todas las realidades es un hecho mas que asumido. En enero de 2020, segun un estudio publicado por la plataforma Hootsuite, solo Twitter, Facebook e Instagram acumulaban mas de 3.800 millones de usuarios activos y almacenaban un gran repositorio de informacion de todos los ambitos culturales y sociales.El ambito educativo no escapa a este entorno digital en el que se crean, promocionan y, sobre todo, se comparten ideas, iniciativas y recursos entre una comunidad cada vez mas acostumbrada a servirse de las redes sociales para la comunicacion y el desempeno de la actividad docente. En este articulo hemos querido seleccionar algunas de las cuentas educativas de Instagram en las que encontrar recursos de ayuda para nuestras aulas. EnglishIt is an assumed fact that social networks are a phenomenon that reaches all kinds of realities. In January 2020, according to a study published by Hootsuite platform, only Twitter, Facebook and Instagram accumulated over 3,800 million active users, storing a big information repository of all cultural and social fields.The educational field does not fall outside this digital environment in which ideas, initiatives and resources are created, promoted and, above all, shared among a community more and more accustomed to making use of social networks for communication and development of teaching.In this article, we have wanted to select some of the Instagram educational accounts in which we can find helpful resources for our classrooms.
Convolutional Neural Networks are not invariant to translation, but they can learn to be

When seeing a new object, humans can immediately recognize it across different retinal locations: we say that the internal object representation is invariant to translation. It is commonly believed that Convolutional Neural Networks (CNNs) are architecturally invariant to translation thanks to the convolution and/or pooling operations they are endowed with. In fact, several works have found that these networks systematically fail to recognise new objects on untrained locations. In this work we show how, even though CNNs are not 'architecturally invariant' to translation, they can indeed 'learn' to be invariant to translation. We verified that this can be achieved by pretraining on ImageNet, and we found that it is also possible with much simpler datasets in which the items are fully translated across the input canvas. Significantly, simply training everywhere on the canvas was not enough. We investigated how this pretraining affected the internal network representations, finding that the invariance was almost always acquired, even though it was some times disrupted by further training due to catastrophic forgetting/interference. These experiments show how pretraining a network on an environment with the right 'latent' characteristics (a more naturalistic environment) can result in the network learning deep perceptual rules which would dramatically improve subsequent generalization.
A Simple Metric for Inclusive Growth with Illustrations from India (1983-2012)

“Inclusive growth” has emerged as a catch-all term for describing the distributional consequences of economic growth. However, there are no widely accepted metrics to quantify inclusive growth. We develop a simple metric based on Atkinson’s classic inequality measure. Our metric, like the original Atkinson measure, is fully decomposable and allows for both ‘horizontal’ and ‘vertical’ characterizations of inclusive growth. We illustrate our framework using consumption expenditure data from several waves of nationally representative data from India (1983-2012). Overall, growth has been sporadically inclusive with the rural sector marginally more inclusive. However, the urban sector shows relatively greater social group inclusion. Vertical decomposition indicates that middle deciles in the urban sector have experienced longer periods of inclusive growth.
A hybrid approach for mammary gland segmentation on CT images by embedding visual explanations from a deep learning classifier into a Bayesian inference

We propose an approach for the automatic segmentation of mammary gland regions on 3D CT images, aiming to accomplish breast cancer risk assessment through CT scans acquired in clinical medicine for various diagnostic purposes. The proposed approach uses a hybrid method that embeds a deep-learning-based attention mechanism as a module into a conventional framework, which originally uses a probabilistic atlas to accomplish Bayesian inference to estimate the pixelwise probability of mammary gland regions on CT images. In this work, we replace both the construction and application of a probabilistic atlas, which is time-consuming and complicated to realize, by a visual explanation from the attention mechanism of a classifier learned through weak supervision. In the experiments, we applied the proposed approach to the segmentation of mammary gland regions based on 174 torso CT scans and evaluated its performance by comparing the segmentation results to human sketches on 14 CT cases. The experimental results showed that the attention maps of the classifier successfully focused on the mammary gland regions on the CT images and could replace the atlas for supporting mammary gland segmentation. The preliminary results on 14 test CT scans showed that the mammary gland regions were segmented successfully with a mean value of 50.6% on the Dice similarity coefficient against the human sketches. We confirmed that the proposed approach, combining deep learning and conventional methods, shows a higher computing efficiency, much better robustness, and easier implementation than our previous approach based on a probabilistic atlas.
Learning Composable Behavior Embeddings for Long-horizon Visual Navigation

Learning high-level navigation behaviors has important implications: it enables robots to build compact visual memory for repeating demonstrations and to build sparse topological maps for planning in novel environments. Existing approaches only learn discrete, short-horizon behaviors. These standalone behaviors usually assume a discrete action space with simple robot dynamics, thus they cannot capture the intricacy and complexity of real-world trajectories. To this end, we propose Composable Behavior Embedding (CBE), a continuous behavior representation for long-horizon visual navigation. CBE is learned in an end-to-end fashion; it effectively captures path geometry and is robust to unseen obstacles. We show that CBE can be used to performing memory-efficient path following and topological mapping, saving more than an order of magnitude of memory than behavior-less approaches.
A Novel Quality Assessment Method for Eye Movement Authentication

Eye movement authentication has been paid attention to realize both high usability and security especially counterfeit biometric modality. Although previous researches took care for obtaining the eye movement information correctly to eliminate the noisy data, they did not focus on the quality on the captured data. In this paper, we propose the quality assessment method on eye movement authentication. Our experiment using competition data shows the peak velocity of eyeballs has the relationship with the obtained genuine similarity scores.
GALILEO@UGA Subject Guides: Using Electronic Library Resources Remotely: Common Errors by Screenshot

Tips for using electronic library resources from remote locations and common solutions for access errors.
Demand for higher education by 11th grade graduates in 2020

In this paper we discuss Russian high school graduates’ educational trajectories and demand for higher education. The most popular areas of study and regions for getting higher education among students are also considered. The research is based on survey data on high school graduates conducted by HSE University in 2020. The demand for higher education among Russian young people remains very high: 85% of students want to go to university. The value of higher education is high regardless of the family’s income, the region of residence, gender, and parental education level. The most popular areas of study are natural sciences (16%), economics and management (16%), engineering, technology, and technical sciences (15%). Students from different regions of the country mostly prefer various majors. The structure of demand confirms the presence of female and male jobs. The majority of school graduates (67%) plan to get government-supported university places. More than half (55%) of respondents from wealthy families are also ready to pay for higher education, and only 10% of students from poorer families are going to consider this option. More than half (56%) of school graduates is going to get higher education in their region. This distribution also remains in the sample excluding residents of Moscow and St. Petersburg.
RANCANG BANGUN GAME RPG DENGAN UNREAL ENGINE BERBASIS DESKTOP

Game engines are so useful for academy research because game engine can make an environments for simulator and provide implement for AI (Artifact Intelligence). Unreal Engine is the best choice for simulation and unreal engine have so many useful tools. Game are a high of entertainment that is in great demand by the public and children. Even for industry there are already make an E-Sport tournament.
LibGuides: New Technology on the Horizon: Wall Street Journal

A look at the technology and electronic resource advances coming to the Xavier University of Louisiana Library. Free access to the Wall Street Journal for the XULA community
El valor de estar juntos

espanolLa autora recoge en su articulo la incertidumbre con que la sociedad ha afrontado la pandemia generada por el coronavirus en nuestro pais. En el ambito educativo, en particular, apuesta por que la escuela cierre esa incertidumbre para que pueda avanzar. El texto reclama que la escuela que viene sea diferente, donde en el centro de la diana este la infancia y no el curriculo. Una escuela donde primen las emociones y las relaciones, y que ofrezca a su alumnado un escenario de crecimiento «en y para un mundo un mejor». EnglishThe author includes in her article the uncertainty with which society has faced the pandemic caused by the coronavirus in our country. In the educational field, in particular, it is committed to the school closing that uncertainty so that it can move forward. The text demands that the school that comes next be different, where childhood is at the center of the target and not the curriculum. A school where emotions and relationships prevail, and that offers its students a growth scenario «in and for a better world».
توظيف المنقب العربي في تنمية المفردات العربية المعاصرة للدراسين المتقدمين

Employing Arabic Concordance Application in developing Modern Standard Arabic (MSA) vocabulary for advanced learners.
Re-examining Routing Networks for Multi-task Learning

We re-examine Routing Networks, an approach to multi-task learning that uses reinforcement learning to decide parameter sharing with the goal of maximizing knowledge transfer between related tasks while avoiding task interference. These benefits come with the cost of solving a more difficult optimization problem. We argue that the success of this model depends on a few key assumptions and, when they are not satisfied, the difficulty of learning a good route can outweigh the benefits of the approach. In these cases, a simple unlearned routing strategy, which we propose, achieves the best results.
A Study on the Consciousness Survey about COVID19

In relation to COVID-19 disease, the health beliefs of college students attending the Department of Health are investigated and the relationship with preventive health activities is confirmed.383 students attending the Department of Health at the university located in the C area were surveyed for their belief in health and the degree of preventive health behavior against new infectious diseases. Correlation with technical statistics was investigated using SPSS 20.0.According to the survey on the awareness of new infectious diseases, the highest question was whether the severity of the disease would be very high if a new epidemic occurred in the future, and  whether the possibility of a new epidemic in Korea is high. The lowest was the question of whether the government thinks the drug injection is sufficient to cope with various new influenza outbreaks and whether it can clearly explain the new epidemic diseases.Since knowledge and beliefs about new infectious diseases have a positive relationship with health behaviors, it is important to prepare education and guidelines to ensure thorough compliance with preventive health behaviors.