Reviewerly/exHarmony huggingface dataset:
온라인 한국어 쓰기 수업에서의 동료 피드백에 대한 만족도 연구 - Zoom을 활용한 과정 중심 쓰기 수업을 중심으로 -

The purpose of this study was to examine the type, frequency, and characteristic aspects of feedback after conducting peer feedback activities in online Korean writing classes using Zoom for foreign university students and to find out the educational utility and learners’ satisfaction of peer feedback. Peer feedback activities were conducted for sixty students in academic Korean writing classes for one semester in four domestic universities (or graduate schools). Using Zoom, students’ writings were shared during the class and feedback was provided by peers. The results of quantitative analysis of the contents and the style of peer feedback were as follows. First, the contents of feedback were provided in the order of content, vocabulary and expression, grammar, and spelling. Second, the way of feedback was used frequently in the order of pointing out errors, suggesting alternatives, paying compliments and asking questions. In addition, a follow-up in-depth interview was conducted to analyze learners’ perception of peer feedback on aspects of educational utility and satisfaction of feedback. 78% of the students surveyed responded positively to motivating learners to study Korean, giving confidence and having interest, which means that peer feedback activities in writing class had an significant effect on the satisfaction of writing classes with educational utility.(NamSeoul University·Ewha Womans University)
ComVisMD—Compact 2D Visualization of Multidimensional Data: Experimenting with Two Different Datasets

Interpreting data with many attributes is a difficult issue. A simple 2D display, projecting two attributes onto two dimensions, is relatively easy to interpret but provides limited help to see multidimensional correlations. We propose a tool, ComVisMD, which displays, from a dataset, five dimensions in compact 2D maps. A map contains cells; each one represents an object from the dataset. In addition to the usual horizontal and vertical projections and the use of colors, we offer holes and shapes. In order to compact the display, we partition objects according to two dimensions, grouping values of each dimension into up to seven categories. In this paper, we present two case studies covering two different domains, a cricket player dataset and a heart disease dataset. The cricket dataset has 15 attributes and 2170 objects. We show how, using ComVisMD, correlations between variables can be found in an intuitive way. The heart disease dataset has 14 attributes and 297 objects. Blokh and Stambler, in the June 2015 issue of “Aging and Disease,” state that individual attributes show little correlation with heart disease. Yet in combination the correlation improves dramatically. We show how ComVisMD helps visualize those multidimensional correlations between four attributes and heart disease diagnosis.
Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning

Model-agnostic meta-learning (MAML) is a popular method for few-shot learning but assumes that we have access to the meta-training set. In practice, training on the meta-training set may not always be an option due to data privacy concerns, intellectual property issues, or merely lack of computing resources. In this paper, we consider the novel problem of repurposing pretrained MAML checkpoints to solve new few-shot classification tasks. Because of the potential distribution mismatch, the original MAML steps may no longer be optimal. Therefore we propose an alternative meta-testing procedure and combine MAML gradient steps with adversarial training and uncertainty-based stepsize adaptation. Our method outperforms "vanilla" MAML on same-domain and cross-domains benchmarks using both SGD and Adam optimizers and shows improved robustness to the choice of base stepsize.
Aplikasi QR Code Generator Dan QR Code Reader Menggunakan Metode Stroke Histogram

Quick Response Code (QR Code) is a two-dimensional image that has the ability to store data. QR Code is commonly used to store data in the form of text, be it numeric, alphanumeric, or binary code. QR Code is widely used for commercial purposes, especially in Japan, usually contains a url link to a specific address or simply text containing advertisements, promotions, and others. One of the things that is not commonly used in QR codes is inserting images into the information it stores. This can increase readers' appeal, especially for advertising, posters, and other commercial matters.This research conducted a study on the possibility of making a QR Code from text input data. Therefore an analysis is carried out on how to make the image the content of the information contained in the QR Code. The solution offered is to convert the text into another representation that can be understood by the QR Code generator and QR Code reader. Previously, the text file was converted into binary.This research also generates QR Code Generator and QR Code Reader, where the input data is in the form of text, then tested to be applied in the real world. The software implementation is done using PHP with MySQL database.
THE USE OF HANGMAN GUESSING GAMES FOR 8TH GRADE STUDENTS OF MTS RAUDHATUSYSYUBBAN

This thesis discusses the use of the Hangman application in junior high school. The formulations of the problems from this research are: 1. How English teachers at MTs Raudhatusysyubban use the Hangman application in English Language Teaching2. How do students perceive the use of the Hangman application in English Learning?The Population of this study were English teachers and 8th grade students at MTs Raudhatusysyubban. Data were collected through online interviews. Data were analyzed using qualitative methods. Then the data is collected by using the instrument. The instrument used is online interviews with teacher and studentsThe results of this study indicate that students are very happy and very active when learning English using Hangman and students also respond positively, the teacher thinks Hangman can help students acquire a lot of vocabulary. When using Hangman, the teacher uses the communicative approach method to make it easier for students to use Hangman by directing students to recall the vocabulary in Hangman. There is a problem faced by the teacher, namely when teaching using Hangman, which is difficult to adjust to the material being studied.
Improvement of Modern Mechanisms of Management of Professional Previous Education

The work of the institution of professional higher education in the conditions of competition between educational institutions is analyzed. In modern conditions in institutions of professional higher education in order to survive and function effectively, it is necessary to coordinate their goals with the goals of the labor market and education; heads of educational institutions to review the forms and methods of work with all participants in the educational process, to develop in them the skills of charity, civic activity, to expand their participation in the development, adoption and implementation of legal decisions in the field of education; be able to cooperate with patrons, deputies, organizations and public and public institutions. With the development of democracy and the expansion of the practice of co-management, institutions of professional higher education will increasingly rely on public organizations and communities. This will help complete the transition from a policy of patronage and domination of the state over the public to their constructive partnership and interaction. The task of democratization of management as a result of constructive dialogue of the institution of professional higher education, the public and the state is to unite all subjects for joint actions on the basis of their real interest in the development of education.&#x0D; The refore, the management system must be constantly developed and improved, respectively, the heads and managers of educational institutions, as managers of education, must constantly improve their skills.
CMMI and Ideal in Software Process Improvement

Different models and standards have been developed with the purpose of improving software development processes and obtaining quality products and achieving customer satisfaction. Despite the efforts that organizations make, they do not always achieve these results. In this article we present the results of the implementation of best practices established by the CMMI model using the IDEAL and SCAMPI B methodology. The results show that applying best practices helps organizations to improve their processes, minimize the number of defects and increase customer satisfaction. Likewise, the critical factors that were considered and aspects to be considered in the deployment of processes are presented.
Agent organisations: from independent agents to virtual organisations and societies of agents

Real world applications using agent-based solutions can include many agents that needs communicate and interact each other in order to meet their objectives. In open multi-agent systems, the problems may include the organisation of a large number of agents that may be heterogeneous, of unpredictable provenance and where competitive behaviours or conflicting objectives may occur. An overview of the alternatives for dealing with these problems is presented, highlighting the way they try to solve or mitigate these problems.
APLIKASI TELEGRAM (TELE-EDUKASI) DALAM PEMBELAJARAN IPA DI MADRASAH IBTIDAIYAH

Formal education becomes an important role as a forum to develop a lot of learning, be it learning about attitudes or about subjects. One of which the writer will discuss is on Natural Sciences (IPA). Science subjects at the elementary school level are the child's initial process of getting to know the environment in the scope of formal education. Science subjects are important to be introduced to children so that children are able to know what is in their environment. Especially about the life of living things around him. So it takes innovation in the learning process.Telegram is a cloud-based, multi-platform instant messaging service application that is free and non-profit. Telegram Client is available for mobile phone devices (Android, iOS, Windows Phone, Ubuntu Touch) and computer peripheral systems (Windows, OS X, Linux). Users can send messages and exchange photos, videos, stickers, audio, and all types of files or files.The implementation of learning using the telegram application (tele-education) to practice working on science problems shows a gradual increase, namely experiencing an increase in positive things and a decrease in negative things according to the student questionnaire contained in the appendix. Means it can be concluded that the implementation went better and smoothly in each cycle.
The National Level of Emergency and Privacy Rights in South Korea

To fight COVID-19, which became a global pandemic in 2020, many countries enforced different measures. South Korea conducted mass collection and usage of personal information through modern technologies instead of drastic restriction measures. While the containment of COVID-19 by South Korea was successful as of 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> August 2020, some concerns regarding privacy and personal data protection also exist. This paper first looks at personal data protection legislation in South Korea in normality before COVID-19, then, also looks at the measures taken by the South Korean government to counteract COVID-19 with its legal basis, and to analyse the change of privacy mindsets in the South Korean government and population. At last, this paper clarifies three concerns that arose from the measures taken by the South Korean government to counteract COVID-19.
Semantic Estimation of 3D Body Shape and Pose using Minimal Cameras

We aim to simultaneously estimate the 3D articulated pose and high fidelity volumetricoccupancy of human performance, from multiple viewpoint video (MVV) with asfew as two views. We use a multi-channel symmetric 3D convolutional encoder-decoderwith a dual loss to enforce the learning of a latent embedding that enables inference ofskeletal joint positions and a volumetric reconstruction of the performance. The inferenceis regularised via a prior learned over a dataset of view-ablated multi-view video footageof a wide range of subjects and actions, and show this to generalise well across unseensubjects and actions. We demonstrate improved reconstruction accuracy and lower poseestimation error relative to prior work on two MVV performance capture datasets: Human3.6M and TotalCapture.
Explore Semantic Pixel Sets Based Local Pattern with Entropy Information for Face Recognition

In this paper, a combination of the Local Binary Pattern method with a semantic pixel set of entropy information is used on back propagation networks for face recognition. This method divides the sample data into NxM zones and calculates the feature value of each zone. In this paper the sample data is divided into 6x9 zones, ie 54 zones with the size of each zone is 10x10 pixels. The LBP method is a uniform pattern of each zone and makes comparisons to zones that have the most number of active pixels. Then from the LBP method the semantic method is used to extract the entropy information from each image. From the feature extraction, there are 107 feature values, 54 of LBP and 53 methods of semantic method. The value of the feature is used as input for classification using back propagation networks. 100 sample data were used for training and 60 different sample data were used for recognition level test. From the test conducted got the recognition rate using a combination of two methods of this extraction feature is 98%.
Unifying Regularisation Methods for Continual Learning

Continual Learning addresses the challenge of learning a number of different tasks sequentially. The goal of maintaining knowledge of earlier tasks without re-accessing them starkly conflicts with standard SGD training for artificial neural networks. An influential method to tackle this problem without storing old data are so-called regularisation approaches. They measure the importance of each parameter for solving a given task and subsequently protect important parameters from large changes. In the literature, three ways to measure parameter importance have been put forward and they have inspired a large body of follow-up work. Here, we present strong theoretical and empirical evidence that these three methods, Elastic Weight Consolidation (EWC), Synaptic Intelligence (SI) and Memory Aware Synapses (MAS), are surprisingly similar and are all linked to the same theoretical quantity. Concretely, we show that, despite stemming from very different motivations, both SI and MAS approximate the square root of the Fisher Information, with the Fisher being the theoretically justified basis of EWC. Moreover, we show that for SI the relation to the Fisher -- and in fact its performance -- is due to a previously unknown bias. On top of uncovering unknown similarities and unifying regularisation approaches, we also demonstrate that our insights enable practical performance improvements for large batch training.
A Perspective-independent Method for Behavior Recognition in Depth Video via Temporal-spatial Correlating

Considering the low recognition accuracy of behavior recognition from different perspectives at present, this paper presents a perspective-independent method for depth videos. Firstly, the fully connected layer of depth Convolution Neural Network (CNN) is creatively used to map human posture in different perspectives to high-dimensional space that is independent with perspective to achieve the Human Posture Modeling (HPM) of deep-performance video in spatial domain. Secondly, considering temporal-spatial correlation between video sequence frames, the Rank Pooling (RP) function is applied to the series of each neuron activated time to encode the video time sub-sequence, and then the Fourier Time Pyramid (FTP) is used to each pooled time series to produce the final spatio-temporal feature representation. Finally, different methods of behavior recognition classification are tested on several datasets. Experimental results show that the proposed method improves the accuracy of depth video recognition in different perspectives. In the UWA3DII datasets, the proposed method is 18% higher than the most recent method. The proposed method (HPM+RP+FTP) has a good generalization performance, achieving a 82.5% accuracy on dataset of MSR Daily Activity3D.
A Quantum Interpretation of Bunched Logic for Quantum Separation Logic

We propose a model of the substructural logic of Bunched Implications (BI) that is suitable for reasoning about quantum states. In our model, the separating conjunction of BI describes separable quantum states. We develop a program logic where pre- and post-conditions are BI formulas describing quantum states -- the program logic can be seen as a counterpart of separation logic for imperative quantum programs. We exercise the logic for proving the security of quantum one-time pad and secret sharing, and we show how the program logic can be used to discover a flaw in Google Cirq's tutorial on the Variational Quantum Algorithm (VQA).
PRINCIPLES AND PATTERNS OF LEGAL REGULATION OF GENOME-WIDE SEQUENCING IN THE PEOPLE’S REPUBLIC OF CHINA (PRC)

The global genome sequencing market is developing at a very fast pace, and this is happening most rapidly in China. Amid the economic boom, demand for advanced medical services is extremely high. In view of this, the principles and laws of normative regulation of this activity carried out using both legislative and administrative legal instruments deserve attention. For the domestic legislator, the Chinese experience in regulating the use of genetic resources in conducting international joint research, collecting, storing, using and providing external human genetic resources in China, and ethical principles in conducting biogenetic studies will be extremely useful.
NTGAN: Learning Blind Image Denoising without Clean Reference

Recent studies on learning-based image denoising have achieved promising performance on various noise reduction tasks. Most of these deep denoisers are trained either under the supervision of clean references, or unsupervised on synthetic noise. The assumption with the synthetic noise leads to poor generalization when facing real photographs. To address this issue, we propose a novel deep unsupervised image-denoising method by regarding the noise reduction task as a special case of the noise transference task. Learning noise transference enables the network to acquire the denoising ability by only observing the corrupted samples. The results on real-world denoising benchmarks demonstrate that our proposed method achieves state-of-the-art performance on removing realistic noises, making it a potential solution to practical noise reduction problems.
Conversational Query Rewriting with Self-supervised Learning

Context modeling plays a critical role in building multi-turn dialogue systems. Conversational Query Rewriting (CQR) aims to simplify the multi-turn dialogue modeling into a single-turn problem by explicitly rewriting the conversational query into a self-contained utterance. However, existing approaches rely on massive supervised training data, which is labor-intensive to annotate. And the detection of the omitted important information from context can be further improved. Besides, intent consistency constraint between contextual query and rewritten query is also ignored. To tackle these issues, we first propose to construct a large-scale CQR dataset automatically via self-supervised learning, which does not need human annotation. Then we introduce a novel CQR model Teresa based on Transformer, which is enhanced by self-attentive keywords detection and intent consistency constraint. Finally, we conduct extensive experiments on two public datasets. Experimental results demonstrate that our proposed model outperforms existing CQR baselines significantly, and also prove the effectiveness of self-supervised learning on improving the CQR performance.
회고록을 활용한 다원적 관점의 여성 독립운동 학습

In this study, we analyzed the activities of women independence activists and the meaning of their lives in the memoirs of women who participated in the independence movement.In the memoir, the life of a women independence activist can be divided into three types. First, they personally participated in the independent struggle. They participated in the patriotic struggle and raised funds or gathered soldiers for the independence war. Through propaganda Activities, they promoted anti-Japanese sentiment and encouraged participation in the independence movement as well. Second, the social base of the independence movement was established. They strived to take care of families of those who participated in the independence movement and to maintain the Korean community in economic and educational aspects. It was the role of women''s independence activists to cultivate national consciousness and to maintain the sustainability of the independence movement by organizing education and social events of Korean community. Also it was their responsibility to support the key figures in the Provisional Government of the Republic of Korea and to take care of the independence activists and their families. Third, they show the social role and gender recognition of male and female. It was the role of women to keep the household economy or to support the family. This shows that male-dominated patriarchal attitudes persisted in families and societies in which they lived during the independence movement.After identifying various aspects of the women''s independence movement in the memoir, this study developed the teaching program for students to understand the women''s independence movement.The results of applying history class plan are as follows. First, students were able to find various aspects of the women''s independence movement through memoirs. Second, through the activities of imagining the reason for selecting the behaviors and thoughts of historical figures in the memoirs, pluralistic views could be developed. Third, in the process of constituting the meaning of independence movement, its value could be internalized.
Makna BookTube bagi Para Pembaca Buku di Era Digital

The rapid development of information communication technology has led to the full utilization of digital.Online media are replacing conventional print media, digital books are starting to be looked at by publishers, and book reviews usually in regular media were transformed into the form of audiovisual called BookTube.This study aims to find out, understand, and explain how book readers and viewers of BookTube shows interpret the meaning of BookTube.The method used is a qualitative research method with a phenomenological approach.The results of this study are the construction of meaning built for the BookTube.First, BookTube is a complement to written reviews because they still feel the BookTube cannot present the essence of a book reviewer.
Artificial Intelligence-Based Optimal Control Method for Energy Saving in Food Supply Chain Logistics Transportation

Food supply chain logistics will produce a lot of energy consumption in the process of transportation, which has a great impact on the environment and production economy. Therefore, in order to reduce energy consumption as much as possible and complete the original transportation task, an optimization control method based on artificial intelligence for food supply chain logistics transportation is proposed. The artificial intelligence technology is used to realize the information sharing of transportation logistics, decompose the influence parameters of energy consumption of logistics transportation, plan the optimal road of target transportation, and reduce the energy consumption in transportation. The experimental results show that after the optimization of this method, the logistics transportation cost of food supply chain can be effectively reduced, and the energy consumption of transportation can be reduced.