Reviewerly/exHarmony huggingface dataset:
VR을 활용한 중국문화수업 설계 및 사례

The purpose of this study is to present new learning methods using IT technology to learners in Korean Chinese or Chinese culture education and increase the learning effectiveness of Chinese culture classes using VR. In this study, the design method of Chinese culture class was derived and the design method of VR Chinese culture class was proposed in three ways, 'full immersion type', 'part immersion type' and 'non immersion type', and each method was analyzed for advantages, disadvantages, and learning effects. Also, based on the design plan, we took a look at the actual class case. Finally, we proposed support and technical support for controlling the frequency and proportion of VR contents for design of Chinese cultural classes using VR, establishing an appropriate environment. Therefore, it is believed that in this study, more abundant and diverse classroom methods can be developed if VR technology is actively introduced. However, the amount of Chinese cultural content using VR was smaller than that of English or other languages, and the quality of content is still lacking. The chronic problem of VR, the fact that long-term use can cause eye pain or motion sickness, and that it may be difficult to adapt depending on the learner's tendency, is also something that the professor should consider and supplement. To solve this problem, it is necessary to control the frequency and weight of using VR content in class design. It is never easy to incorporate new technologies into education. It is hoped that follow-up research will be actively carried out to help develop the field of Chinese culture education and furthermore, Chinese education design using VR, which has just begun.
LibGuides: Services For Faculty: Teaching, Learning and Research Skills

The Learning Resource Collaborates with Faculty to develop life-long learning skills throughout the Michener community.
내러티브 메모리얼의 경험공간 구조에 관한 연구

This study aims to investigate the spatial structure of the memorial in terms of experiential space, targeting the ‘narrative memorial’, which has its own unique identity. The narrative memorial, which has a defined path to deliver story of the events through space, has a different order of experience different to the order of floor plan, so it is necessary to understand the space structure from the perspective of the visitor's experience. Therefore, the research was conducted by using 'visitor journey map' originated from 'customer (user) journey map' which has been widely used in the service design field to check the actual experience of users in the entire process of using specific products or services. The selected memorials for the research are US Holocaust Memorial Museum, Yad Vashem Holocaust history museum, and Jewish museum Berlin, which are representative of the modern memorial. The main spatial structure of narrative memorial found in terms of experiential space is as follows: 1. Intersecting structure of emotional experience space and practical educational space that are repeatedly experienced, 2. Emotional experience space that forms step-by-step experiences, 3. The role of a connecting space that allows the memorial to become a background itself telling the story of event, 4. a spatial experience that forms different meanings according to the experience stage even in the same space, 5. a transitional space that generates a staged background change. In summary, in the narrative memorial, all spaces participate in the story of an event commemorated, and these experience spaces are repeatedly experienced with each other, forming a staged experience structure based on the intersection of experiences as a whole. In this way, it can be confirmed that the story and emotional experience of the event conveyed in the memorial are consistently delivered to the visitor, and the memorial acts as a medium of memory to be told as the space itself.
LEAKAGE ANALYSIS OF THE RSOR ALGORITHM

The RSOR algorithm is a recursive algorithm that has been proposed as an alternative to the RLS algorithm for updating adaptive filter parameters.As with other algorithms, the forgetting factor, filter length and relaxation parameter significantly affects the performance of the RSOR algorithm.In this study, using an adaptive FIR filter in system identification mode, the effect of forgetting factor, filter length and relaxation parameter on the leakage phenomenon of the RSOR algorithm was analyzed.For this purpose, firstly, the effect of measurement noise on the adaptive filter output, namely the leakage phenomenon, was explained analytically, and then the influence of the forgetting factor and other filter parameters on this leakage phenomenon was examined.The results obtained from the simulation studies are compared with similar algorithms.
Joint blind image deblurring and super-resolution via double-branch projection feedback network

Unexpected situations, such as object movement and camera shaking, cause interference and produce blurry, degraded images. These degraded images can adversely affect visual processing tasks, such as target detection and facial recognition. In addition, the super-resolution (SR) of a single image is a basic task to improve the image quality in visual applications. However, due to the existence of artifacts, it is difficult to generate clear SR images from rough and degraded images. In this work, we propose a double-branch projection feedback network that can generate clear high-resolution (HR) images from severely blurred low-resolution (LR) images. One is a deep feature projection feedback branch that can obtain texture-rich SR feature maps and reduce the accumulative errors with depth, and a channel adjustment and multi-scale feature fusion mechanism are proposed to better obtain the mapping relation between LR and HR images. The other is an autoencoder deblurring module, which is used to get deblurred features of an input image. Moreover, a mapping associated feature block is applied to match non-local feature information in the feature fusion module. Extensive experiments show that the network is effective and performs better than the state-of-the-art methods in single image deblurring and SR.
Sistem Informasi Pemeteaan Kesehatan Ibu dan Anak Untuk Menekan Angka Kematian Pada Bayi

With the status of the new administrative area there are still not many basic infrastructure supporting the community. These basic facilities such as health facilities, educational facilities, population service facilities and others. The facilities most needed by the community are health facilities. From the data of the Kediri district health office in 2016 the health facilities in the district of Badas, such as puskesmas, polindes and posyandu. While health personnel are general practitioners, there are 1 person, 1 dentist, 5 nurses, 1 pharmacy staff, 1 nutritionist and 1 health analyst.By using the Georgrafis Information System (GIS) approach to determine the spatial distribution of maternal and child health in Badas Subdistrict, Kediri Regency, carried out an analysis to create an information system for mapping maternal and child health. GIS describes spatial distribution of maternal and child health, the characteristics of regions prone to spatial maternal and child health and information for mapping maternal and child health. This system can be used as a means to obtain the latest sources of information, namely mapping of maternal and child health and regular information on the development and advancement of technology-based maternal and child health and as input for information to be taken into consideration in making policies related to budget allocation, recruitment and placement of resources Human (HR), especially in the health sector.
Netizens’ criticism of the government’s policy of “Meme Lockdown” during the Covid-19 pandemic; in Indonesia

Indonesia was shocked by the presence of the Corona-19 virus in early 2020. Indonesian people respond to policies related to handling Covid-19 by closing access to their territory and making memes about corona. One of the interesting phenomena that occurred during the Covid-19 pandemic was the number of banners or memes posted in the alleys of human settlements in Indonesia, as a form of freedom of opinion to respond to the policies of the Indonesian Government Program in preventing the more massive spread of Covid-19. This study uses a qualitative descriptive method with the data used in this study is a language game on photo uploads in the form of memes on Instagram accounts. The selected data is adjusted to the research needs and is representative data. The purpose of this study is to describe language games with sound and semantic substitution in the Lockdown Policy Meme on the Covid-19 pandemic in Indonesia through Instagram. The results showed that in the field of phonology tended to use substitution language games, while in the field of semantics, the most widely used was homonym language games. The language game in memes during the Covid-19 Pandemic has not yet become a force affecting the policies implemented by the Indonesian government. In other words, the anxiety and uncertainty were hidden in the Corona meme only meant as a pun or humor that can make the reader smile a little and feel optimistic. This paper has implications for developing criticism of government policies via the internet as a medium of communication and for managing the balance between stability and change due to the Covid-19 pandemic in Indonesia. This paper fulfils an identified need to study how the internet as public sphere and medium to communicate about government policies in the current era.
Symbolic reasoning about unseen objects from multimodal sensory feedback for manipulation

Robotically manipulating objects can be very challenging when not all of the environment can be fully observed, e.g. in environments which are physically and visually accessible from only a single side. By using multimodal sensory feedback and symbolic reasoning, conclusions can be drawn about the presence of objects that cannot be observed directly. This paper presents the Symbolic Reasoning for Partially Observable Environments (SyRePOE) system, which uses an ontology to maintain its world model and a reasoner to infer information about unobservable objects. SyRePOE is demonstrated in simulation and on a real robot, where it is tasked with stocking a retail shelf.
Emotions and Intelligent Tutors

In the last year, schools, universities, teachers, and students had to adapt to distance learning because of the pandemic situation. The e-learning situation is very different from a face-to-face situation. One of the problems of the e-learning is that the students should be more responsible to not distracted. Another problem is that the type of computer for each student varies significantly. Finally, the traditional interaction between teacher, student and content is made more complicated by introducing technology. When new tools are applied, and there is an improvement in e-learning education, student, teacher, and educational institutions benefit from it. Emotion plays an essential role in the knowledge, acquisition, and decision process of an individual. There is also significant evidence that rational learning in humans is dependent on emotions. In this paper, we presented a solution with an Intelligent Tutor Application, that analyzed emotions in a non-intrusive and non-invasive way.
Fisher Auto-Encoders

It has been conjectured that the Fisher divergence is more robust to model uncertainty than the conventional Kullback-Leibler (KL) divergence. This motivates the design of a new class of robust generative auto-encoders (AE) referred to as Fisher auto-encoders. Our approach is to design Fisher AEs by minimizing the Fisher divergence between the intractable joint distribution of observed data and latent variables, with that of the postulated/modeled joint distribution. In contrast to KL-based variational AEs (VAEs), the Fisher AE can exactly quantify the distance between the true and the model-based posterior distributions. Qualitative and quantitative results are provided on both MNIST and celebA datasets demonstrating the competitive performance of Fisher AEs in terms of robustness compared to other AEs such as VAEs and Wasserstein AEs.
LEGENDARY TEXT MALIN KUNDANG AS MEDIA MORAL VALUE FOR STUDENT THROUGH INTERNET

This research explain how using legend text Malin Kundang through internet in learning. Research uses descriptive qualitative with sample is seven grade Junior High School who take Indonesian language lessons. Collection by observation and test methods. Instruments used were observation sheets and questions in form. Research validation was tested with external validity. Data analyzed using test of knowledge student about moral value in Malin Kundang text. Results of study are (1) Effective use of Malin Kundang legend text  as a medium for moral values. (2) Internet as a stimulus to help student for knowing moral value. 3) Students get values in Malin Kundang text. Teacher excepted to use internet include value moral in text learning content.
Комунікативно-прагматичні складники англійськомовного рекламного слогану (на матеріалі реклами косметичних засобів і парфумерії)

The article is devoted to the analysis of communicative-pragmatic peculiarities in the English commercial slogan of cosmetic products and perfumery, oriented to a wide audience of recipients belonging to different age groups. The research is carried out on the empirical material of advertising slogans selected from catalogues and advertisements on the Internet. The research outlines communicative intentions, strategies and tactics inventoried, in addition types of advertising slogans according to the sentence function are determined which becomes possible through the analysis of communicative-pragmatic peculiarities. It is stated that the above-mentioned aspects determine a range of peculiarities concerning their use in relation to the age groups of the advertisement recipients providing the presence of precise paralinguistic context. The notion of paralinguistic peculiarities of the advertisement, which create a necessary context for the slogan itself, includes in particular visual components of the commercial announcement. The visual element of the commercial slogan provides possibility to determine its addressee according to age criterion.
Adquisición de habilidades por docentes en contextos educativos impuestos por la COVID-19. Universidad Metropolitana de Ecuador

Background : The temporary closures of higher education institutions due to COVID-19 have meant a process of rapid assimilation of new content, which previously supported the face-to-face modality, but which are now the only way of teaching. Objective : to describe the acquisition of skills experience by university teachers in the educational contexts imposed by COVID-19. Methods : descriptive study, carried out from February to July 2020, with the participation of 16 teachers from the Ecuador Metropolitan University, specifically from two health sciences careers. The fundamental technique was the survey. Variables related to acquired skills were analyzed, directly and indirectly. Results : regarding the domain of virtual learning environments in general, adequate management prevailed, and in no case was it considered inappropriate. Regarding the perception of the skills acquisition process, the study time was described as “not very adequate” by the 69% of the teachers; and the 61% declared their interest in the content received as “adequate”. The 93% of the participants stated that, to some extent, the skills acquired had served as motivation for their teaching action, both present and future. Conclusion : Although the results show that knowledge about virtual learning environments is not optimal among faculty teachers, they already have cognitive and technological skills, which may increase over time.
An Analysis on the Influence of the Policy Change Process on the Establishment of the Integrated System for Lifelong Education for the Disabilities through the Application of ACF

본 연구는 일반 평생교육과 장애인 평생교육 통합체제의 구축과 관련하여 소외계층의 평생학습기회 확대나 단순한 비형식교육 기회의 확충이 아닌, 전 국민의 평생학습권 보장의 관점에서 고찰해 보고자 하였다. 이를 위해 다른 모형에서는 그 인과성을 증명하기 어려운 한계를 벗어나고자 옹호연합모형(ACF)을 활용하여 일반 평생교육과 장애인 평생교육의 통합체제 구축을 위한 정책변화과정에서의 논의와 쟁점들을 분석하였다. 대한민국 평생교육이 영역별·대상별 분절적 평생교육이 아닌 통합과 포용을 실현할 수 있도록 정책방향을 탐색하고 제도로서의 평생교육에 대한 직접적인 접근보다는 평생학습이 보편화 되는 추세에서 이를 지원하고 촉진시키는 차원에서 평생교육을 조망하고 평생교육의 주체이자 수혜자인 장애인을 국민의 평생학습권 보장이라는 측면에서 재인식하고 지원할 수 있는 시스템을 고민하고자 한다.This study sought to review the integration of the lifelong education system for the general public and the disabled in view of guaranteeing the right to lifelong learning across the country, not just at the level of expanding educational opportunities and providing informal educational opportunities for the underprivileged. To this end, the process for integration in discussions and policy processes was analyzed using the ACF. Lifelong education should move toward achieving unity and involvement. Lifelong education for the disabled is intended to be understood from the perspective of the people s right to lifelong learning.
Self-Supervised Monocular Depth Learning in Low-Texture Areas

For the task of monocular depth estimation, self-supervised learning supervises training by calculating the pixel difference between the target image and the warped reference image, obtaining results comparable to those with full supervision. However, the problematic pixels in low-texture regions are ignored, since most researchers think that no pixels violate the assumption of camera motion, taking stereo pairs as the input in self-supervised learning, which leads to the optimization problem in these regions. To tackle this problem, we perform photometric loss using the lowest-level feature maps instead and implement first- and second-order smoothing to the depth, ensuring consistent gradients ring optimization. Given the shortcomings of ResNet as the backbone, we propose a new depth estimation network architecture to improve edge location accuracy and obtain clear outline information even in smoothed low-texture boundaries. To acquire more stable and reliable quantitative evaluation results, we introce a virtual data set in the self-supervised task because these have dense depth maps corresponding to pixel by pixel. We achieve performance that exceeds that of the prior methods on both the Eigen Splits of the KITTI and VKITTI2 data sets taking stereo pairs as the input.
Phase-change optical nonlinearity as a cellular automaton

We introduce a cellular automata methodology for studying the photonics of light-induced phase transitions. A model governed by a sparse set of evolutionary rules successfully describes the complex, non-stationary, spatially inhomogeneous dynamics and nonlinear optical properties of a medium undergoing a light-induced structural transition.
Vérification empirique du lien finance-croissance économique : approche non linéaire appliquée aux pays de la cedeao

In this article, a non-linear approach is used to examine the effects of developing financial structures on the economic growth of West African states. To do this, we use the MMG-system to estimate quadratic models such as those proposed by Gambarta et al. (2014) for dynamic panels. Over the period [1998-2017], we show on the one hand that the marginal effect of the banking industry on economic growth increases initially, reaches a maximum and then gradually decreases. This demonstrates a non-linear relationship between increased banking activities and economic growth within the community, and confirms the findings of Hou and Cheng (2017) with low-income countries. On the other hand, a widening of capital markets positively affects the economic growth of West African countries. Overall, our study shows that the main contribution to weakening growth comes from increased banking activities and not from greater investor access to markets. To ensure stable growth, the West African authorities should focus on supporting expanding markets, strengthening liquidity and moderately controlling banking activities. Also, governments should encourage the writing of scientific articles.
Neural Network Continuous-Variable Quantum Computing

We explore how a continuous-variable (CV) quantum computer could solve a classic differential equation, making use of its innate capability to represent real numbers in qumodes. Specifically, we construct variational CV quantum circuits [Killoran et al., Phys.~Rev.~Research 1, 033063 (2019)] to approximate the solution of one-dimensional ordinary differential equations (ODEs), with input encoding based on displacement gates and output via measurement averages. Our simulations and parameter optimization using the PennyLane / Strawberry Fields framework demonstrate good convergence for both linear and non-linear ODEs.
HeterSkinNet: A Heterogeneous Network for Skin Weights Prediction

Character rigging is universally needed in computer graphics but notoriously laborious. We present a new method, HeterSkinNet, aiming to fully automate such processes and significantly boost productivity. Given a character mesh and skeleton as input, our method builds a heterogeneous graph that treats the mesh vertices and the skeletal bones as nodes of different types and uses graph convolutions to learn their relationships. To tackle the graph heterogeneity, we propose a new graph network convolution operator that transfers information between heterogeneous nodes. The convolution is based on a new distance HollowDist that quantifies the relations between mesh vertices and bones. We show that HeterSkinNet is robust for production characters by providing the ability to incorporate meshes and skeletons with arbitrary topologies and morphologies (e.g., out-of-body bones, disconnected mesh components, etc.). Through exhaustive comparisons, we show that HeterSkinNet outperforms state-of-the-art methods by large margins in terms of rigging accuracy and naturalness. HeterSkinNet provides a solution for effective and robust character rigging.
Variability and Trend Analysis of Temperature in Egypt

Climatic change is one of the most important issues of present times, therefore, world-wide interest in global warming and climate change has led to numerous trend detection studies. This study focuses on the variability and trends of the monthly, seasonal and annual temperatures in Egypt over the period 1901-2016 (116 years). Variability of temperature has been computed using mean (μ), standard deviation (σ) and coefficient of variation (CV). The Mann-Kendall (MK) test was used to detect the trends of temperature with Sen's slope estimator. One of the main results of this study is the confirmation of the increasing trend of temperatures in Egypt. There was a definite positive trend for the annual temperature over this period with an increase of 0.87℃. Seasonally, the highest warming trends were observed in the summer season with an increase of 1.27 ℃ and the lowest warming trend in the winter season with an increase of 0.46 ℃. There is a clear increasing trend of the temperatures in Egypt for the studied period. This, in turn, will aid in decision-making regarding future funding and establishing research related to climate change in Egypt.