Reviewerly/exHarmony huggingface dataset:
A Study on the Characteristics of French Korean Learners - Focusing on in-depth interviews with professors in charge of liberal Korean -

이 논문의 목적은 프랑스인 학습자를 가르친 경험이 풍부한 한국어 교수자들을 대상으로 심층 면담을 실시하여 실제 프랑스인 학습자를 가르치면서 알게 된 이들의 특성을 파악한 후, 그들에게 적절한 교수 방안을 제시하는 데에 있다. 이를 위하여 A대학교에서 프랑스인이 대다수 포함된 교양한국어 강좌를 3년 이상 가르친 경험이 있는 교수자를 대상으로 ‘포커스 그룹 인터뷰(Focus Group Interview)’를 실시하였다. 본 연구의 참여자들이 교수 경험을 통해 느낀 프랑스인 학습자들의 특성은 한국어 학습에 다양한 동기를 가진 학습자, 한국어를 생소해하는 학습자, 독특한 학습 태도를 가진 학습자, 특별한 배려가 필요한 학습자로 분류할 수 있었다. 이러한 결과를 토대로 이들이 한국어를 더 잘 공부할 수 있도록 도와 주기 위해 교수자에게는 인내심을 가지고 기다려 주는 태도가 필요하고 프랑스어로 설명이 된 한국어 교재 및 프랑스인 학습자들의 특성이 반영된 교수학습 방법이 마련되어야 함을 제언하였다. 본 연구는 그동안 이루어지지 않았던 프랑스인 학습자들을 대상으로 한 교수 경험에 대한 진솔한 이야기를 바탕으로 프랑스인 학습자들의 한국어 학습 동기, 한국어 학습을 힘들어하는 이유, 학습 태도 등을 확인한 현장 연구라는 데 의의가 있다.The purpose of this study is to understand the characteristics of French learners of Korean language in the process of teaching. The study conducted in-depth interviews with Korean professors experienced in teaching French Korean learners to suggest a proper teaching plan. To this end, we conducted ‘Focus Group Interview’ with professors who have experienced in teaching Liberal Korean lecture, which included most of French learners for 3 years or more. Regarding the characteristics of French Korean learners, the participants of this study felt that learners can be classified into learners with diverse motivations for learning Korean, learners who are unfamiliar with Korean, learners with unique learning attitudes, and learners who need special consideration. To help their Korean learning better based on this result, it is suggested teachers should have patience, Korean textbooks that have descriptions in French should be used, and teaching methods should be planned considering the characteristics of French learners. This study is meaningful in identifying motivations French Korean learners, the reason why they feel learning Korean to be difficult, and their learning attitude based on the frank story regarding teaching experiences targeting French learners, which has not been conducted yet.
K-Nearest Neighbour and Support Vector Machine Hybrid Classification

In this paper, a novel K-Nearest Neighbour and Support Vector Machine hybrid classification technique has been proposed that is simple and robust. It is based on the concept of discriminative nearest neighbourhood classification. The technique consists of using K-Nearest Neighbour Classification for test samples satisfying a proximity condition. The patterns which do not pass the proximity condition are separated. This is followed by sifting the training set for a fixed number of patterns for every class which are closest to each separated test pattern respectively, based on the Euclidean distance metric. Subsequently, for every separated test sample, a Support Vector Machine is trained on the sifted training set patterns associated with it, and classification for the test sample is done. The proposed technique has been compared to the state of art in this research area. Three datasets viz. the United States Postal Service (USPS) Handwritten Digit Dataset, MNIST Dataset, and an Arabic numeral dataset, the Modified Arabic Digits Database, MADB, have been used to evaluate the performance of the algorithm. The algorithm generally outperforms the other algorithms with which it has been compared.
Evaluation of The Block System Implementation at Permata Harapan Vocational High School

This study aimed to evaluate the block system implementation in Permata Harapan Vocational High School based on (1) understanding and apply the block system conducted by teaching staff, (2) understanding of block system implementation by students, (3) availability of facilities and infrastructure at Permata Harapan Vocational High School to support good student competence. This research was a descriptive study. Data was collected by using a questionnaire method based on the CIPP evaluation model (context, input, process, product). The subjects of this study were 50 students in grade X and XI Permata Harapan School and several officials high school. The description of the data carried out by considering the frequency distribution and determining the Level of Respondent Achievement (TPR) in each component and indicator which compared with the criteria. The results showed that the scores were based on an understanding of the implementation of the block system using the CIPP evaluation method which included in moderate category and reached 68.65% percent, with details of each aspect: (1) the context aspect was 81.94%, (2) 63.89% of input aspects, (3) 67.70% of process aspects, (4) 71.52% of product aspects. Based on the discussion results of observation and documentation, the average achievement of all aspects was 82.47%. So, the implementation of the block system at SMK Permata Harapan has been in good classification but it still needs improvement in various aspects so that the goal of implementing the block system can be achieved perfectly.
A Proposal for a New Framework of Learner Modeling: From Modeling “Understanding” to “Not Understanding”

In the study of intelligent tutoring systems (ITSs), research on learner modeling has been actively conducted to provide effective support adapted to a learner's state of understanding, in which learning history, learning style, lack of knowledge, misunderstandings (bugs), etc. have been discussed. On the other hand, low-performance learners who genuinely need assistance find themselves in trouble because they do not know what to do, that is, they are in a state of “not understanding.” As far as the author knows, however, there is no research on modeling the state of “not understanding.” In this study, we propose a new methodology of modeling the state of “not understanding” of a learner directly based on the state space and search model used in the General Problem Solver (GPS) in AI. Then, we develop a theory for generating feedback that adequately supports low-performance learners, which can be justified by the theory of the proposed learner model.
The role of the knowledge economy in the development of banking services in Libya

The study focuses on the basic variables of the knowledge economy, where aims to know the role of the knowledge economy in the banking sector and solving the problems facing Libyan commercial banks in the development of banking services. In order to achieve the main purpose of the study, we used the descriptive-analytical method, by using the questionnaire. Where we surveyed a total of 320 employees at six commercial banks operating in the eastern region of Libya. Through incoming questionnaires, we have analyzed 299 questionnaires. The results of the analysis showed a positive relationship between the knowledge economy and the development of banking services and that the knowledge economy plays an active role in the development of banking services, as the sub-variables of the knowledge economy are knowledge, skills, education, IT infrastructure, speed, access to service, research and development, Innovation, institutional regime, economic incentives as well as the sub-dimensions of the developing of banking services that represented in online banking, data transfer services, the use of technology, and customer relations. all of them show a high positive relationship among them. Also, the study includes information on whether there are differences between the knowledge economy and the development of banking services in the banks included in the research. The results of the study showed that knowledge, skills, training, economic incentives, and institutional regime vary according to banks
ATIVIDADE FÍSICA RELACIONADA À PERCEPÇÃO DE QUALIDADE DE VIDA EM PARTICIPANTES DE UNIVERSIDADE ABERTA À TERCEIRA IDADE: UMA REVISÃO SISTEMÁTICA

This study investigated the literature from 2010 to 2020 to verify whether participants of the Open University for Senior Citizens (UNATI, in the Portuguese acronym) relate physical activity to quality of life. The research methodology included a systematic search in 11 databases with the DeCS/MeSH descriptors for quality of life and physical activity in addition to the keyword UNATI in Portuguese and its equivalents in English and Spanish. The search found 4719 studies, 11 of these articles were considered for the final analysis. Among the studies reviewed, two are in the form of interventions and nine cross-sectional studies. In all studies, physical activity was related to high quality of life according to the participants of Open University for Senior Citizens. It was possible to identify in the literature direct benefits of physical activity for a positive perception of quality of life by the participants of the Open University for Senior Citizens.
A Research Paper of Well Developed Safekeeping Issues Implement with Analytic Approach in Distributed File System

We have developed a plan to check arrange joined limit systems against various sorts of attacks.Our system uses strong cryptography to conceal data from unapproved customers; someone expanding absolute access to a circle can't get any significant data from the structure, in addition, fortifications should be conceivable without allowing the super client access to decoded data.While renouncing of-organization attacks can't be envisioned, our system recognizes delivered data.The structure was made using a rough plate, and might be fused into typical report systems.We notice the arrangement and security tradeoffs such a coursed archive structure makes.Our arrangement watches against both remote interlopers and hence the people who increase physical access to the plate, using just enough security to thwart the 2 sorts of attacks.This security is regularly practiced with little discipline to execution.We watch the wellbeing errands that are principal for each very action, and demonstrate that there's nevermore any clarification to not consolidate strong encryption and check in arrange report structures.Conveyed record frameworks (DFS) give a crucial reflection to area straightforward, perpetual capacity.they permit conveyed procedures to co-work on progressively sorted out information past the life-time of every individual procedure.the incredible intensity of the document framework interface exists in the unquestionable truth that applications don't should be changed so on utilize appropriated capacity.Then again, the general and simple record framework interface makes it famously hard for a circulated document framework to perform well under a determination of changed remaining burdens.This has cause the present scene with kind of famous dispersed document frameworks, each custom-made to a particular use case.Early circulated recording framework s simply executes document framework approaches a far away server, which limits versatility and strength to disappointments.Such confinements are enormously decreased by present day procedures like conveyed hash tables, content-addressable capacity, disseminated accord calculations, or eradication codes.inside the daylight of up and coming logical information volumes at the Exabyte scale, two patterns are rising.In the first place, the already solid plan of dispersed record frameworks is decayed into administrations that freely give a various leveled namespace, information get to, and conveyed coordination.Besides, the isolation of capacity and figuring assets respects stockpiling engineering during which each register hub likewise takes part in giving constant stockpiling.
History of development of pedagogical skill in Russia: an outside perspective

This peer review analyzes a monograph &amp;ldquo;Pedagogical Skill in Russia: history, theory, practice (mid XVIII &amp;ndash; XX centuries&amp;rdquo; by L. A. Milto published in Ukrainian language in Kiev (2008). The goal of peer review lies in familiarization of the Russian language experts in the area of history of education and national pedagogical thought with a new perspective upon the development of pedagogical practice in Russia for the period of two and a half centuries. Modesty of the edition (300 printed copies) and language of publication makes the book virtually unreachable for the Russian audience. The review of the presented monograph is carried out in the context of retrospective analysis of the entire Ukrainian scientific school of pedagogical art. It is underlined that this research represents a worthy development of ideas of the academician I. A. Zazyun. Novelty of the monograph consists in viewing the evolution of Russian education in the aspect of determination of pedagogical findings, approaches of pedagogical art of school teachers and university pedagogues. Of special relevance is the analysis of memoir literature on the lecturing skill of the prominent Russian professors of the XIX century and pedagogical activity of theatrical pedagogues, stage directors and actors of the early XX century. L. A. Milto&amp;rsquo;s monograph greatly contributes to the history of development of the national pedagogy.
The compost tea on hydroponics system used to increase understanding of Sustainable Development for high school student in Adiwiyata program

Abstract Compost tea is made from compost extracts that contain nutrients needed for plant growth and development. Hydroponics is a planting system that depends on the availability of organic nutrients in the planting medium so that it produces plants that are ready for consumption that are safe and nutritious. This is the basis for providing an understanding of Sustainable Development for high school students in the Adiwiyata program. Adiwiyata is a program that aims to create good conditions for schools to become a place for learning and awareness of school residents (teachers, students, and other workers), to encourage efforts to save the environment and Sustainable Development. The purpose of this study is to increase the understanding of Sustainable Development in high school students in the Adiwiyata program. This study uses one high schools in the Adiwiyata program. Before and after the activity of literacy a hydroponic system using compost tea for safe and nutritious food security and healthy environment, then students were given questions about Sustainable Development. The results showed an increase in understanding of Sustainable Development.
트럼프 행정부의 인도-태평양 전략과 한국에 대한 함의

The Trump Administration has consistently stressed that the Indo-Pacific is the pri­ority theater and the most consequential region for the U.S. The Department of Defense’s 2019 Indo-Pacific Strategy Report is important in that it is the first strategy report containing the Trump administration’s awareness of the strategic environment in the Indo-Pacific region and the specific ways in which it can be implemented. This paper attempts to analyze how the U.S. Grand Strategy and military and security strategy under the Trump administration are reflected in the Indo-Pacific strategy and policy based on the 2019 Indo-Pacific Strategy Report It also reviews the constraints that may be involved in implementing this. Based on this analysis, the implications and policy implications for South Korea are drawn.
Reinforcement Learning Based Handwritten Digit Recognition with Two-State Q-Learning

We present a simple yet efficient Hybrid Classifier based on Deep Learning and Reinforcement Learning. Q-Learning is used with two Q-states and four actions. Conventional techniques use feature maps extracted from Convolutional Neural Networks (CNNs) and include them in the Qstates along with past history. This leads to difficulties with these approaches as the number of states is very large number due to high dimensions of the feature maps. Since our method uses only two Q-states it is simple and has much lesser number of parameters to optimize and also thus has a straightforward reward function. Also, the approach uses unexplored actions for image processing vis-a-vis other contemporary techniques. Three datasets have been used for benchmarking of the approach. These are the MNIST Digit Image Dataset, the USPS Digit Image Dataset and the MATLAB Digit Image Dataset. The performance of the proposed hybrid classifier has been compared with other contemporary techniques like a well-established Reinforcement Learning Technique, AlexNet, CNN-Nearest Neighbor Classifier and CNNSupport Vector Machine Classifier. Our approach outperforms these contemporary hybrid classifiers on all the three datasets used.
Online Dynamic Network Embedding

Network embedding is a very important method for network data. However, most of the algorithms can only deal with static networks. In this paper, we propose an algorithm Recurrent Neural Network Embedding (RNNE) to deal with dynamic network, which can be typically divided into two categories: a) topologically evolving graphs whose nodes and edges will increase (decrease) over time; b) temporal graphs whose edges contain time information. In order to handle the changing size of dynamic networks, RNNE adds virtual node, which is not connected to any other nodes, to the networks and replaces it when new node arrives, so that the network size can be unified at different time. On the one hand, RNNE pays attention to the direct links between nodes and the similarity between the neighborhood structures of two nodes, trying to preserve the local and global network structure. On the other hand, RNNE reduces the influence of noise by transferring the previous embedding information. Therefore, RNNE can take into account both static and dynamic characteristics of the network.We evaluate RNNE on five networks and compare with several state-of-the-art algorithms. The results demonstrate that RNNE has advantages over other algorithms in reconstruction, classification and link predictions.
On the Acceleration of Time from the Perspective of Technological and Cognitive Innovativeness: A Structural-Semiologic Analysis of H. G. Wells’s The Time Machine

The paper provides an analysis of Herbert George Wells’s novel The Time Machine (1895), specifically, of those aspects of the novel that deal with the relationship between the phenomenon of technological and cognitive innovativeness, on the one hand, and the experience of time and its perception, on the other. The concept of the acceleration of time, which is key to this study, denotes the phenomenon manifesting itself through the prism of two types of non-synchronization of “internal” or “subjective” time and “external”, collectively shared “objective time”: in the first case, “external” time is accelerated relative to “internal” time, while in the second, conversely, “internal” time is accelerated relative to “external time”. The paper offers a contextual analysis of The Time Machine, also employing a structural-semiologic approach and method, which in this case also includes the traditional functionalist method of differentiating between manifest and latent functions. The first research question the paper seeks to answer is how the idea/invention of the fictitious novum of the time machine came about, i.e. what kind of cognitive-innovative process enabled it. The other question, related to the first, is whether it is possible to “peer into” the infrastructure of the imagination of creative people, into that part that usually remains confined to the unconscious. A structural-semiologic analysis of the nature of the creativity/innovation process, which, in this study, is related to the Victorian era as the social and economic context in which The Time Machine was written, as well as to the interconnected domains of technological and cognitive innovativeness, suggests the possibility of establishing an Anthropology of Innovativeness as a new anthropological subdiscipline.
Globally Optimal Segmentation of Mutually Interacting Surfaces using Deep Learning

Segmentation of multiple surfaces in medical images is a challenging problem, further complicated by the frequent presence of weak boundary and mutual influence between adjacent objects. The traditional graph-based optimal surface segmentation method has proven its effectiveness with its ability of capturing various surface priors in a uniform graph model. However, its efficacy heavily relies on handcrafted features that are used to define the surface cost for the "goodness" of a surface. Recently, deep learning (DL) is emerging as powerful tools for medical image segmentation thanks to its superior feature learning capability. Unfortunately, due to the scarcity of training data in medical imaging, it is nontrivial for DL networks to implicitly learn the global structure of the target surfaces, including surface interactions. In this work, we propose to parameterize the surface cost functions in the graph model and leverage DL to learn those parameters. The multiple optimal surfaces are then simultaneously detected by minimizing the total surface cost while explicitly enforcing the mutual surface interaction constraints. The optimization problem is solved by the primal-dual Internal Point Method, which can be implemented by a layer of neural networks, enabling efficient end-to-end training of the whole network. Experiments on Spectral Domain Optical Coherence Tomography (SD-OCT) retinal layer segmentation and Intravascular Ultrasound (IVUS) vessel wall segmentation demonstrated very promising results. All source code is public to facilitate further research at this direction.
Orientações sobre a apresentação das referências: ABNT NBR 6023:2018

The present document aims to bring updated guidelines for the elaboration of bibliographic references in the humanities area. Its guiding elements were the guidelines of the Associacao Brasileira de Normas Tecnicas (ABNT), through document ABNT NBR 6023:2018 and focusing on the types of documents most used in the humanities area.
DYNAMIC ENVIRONMENTS AS MEANS OF VISUALIZING MATHEMATICS TEACHING MATERIAL

The article deals with implementation of cognitive visualization in mathematics teaching using computer dynamic environments. Some directions are specified and examples of visualization of educational material on the theme "Surfaces in space" in the GeoGebra program are given.
The Teacher’s Perspective on the Impact of Politeness Strategies in the Indonesian English Textbook on Student’s Communicative Competence

The purpose of this study was to investigate teacher's perspectives of the impact of politeness strategies in the Indonesian English textbooks on student's communicative competence. The participants were two English teachers who taught in one of the senior high schools in Yogyakarta, Indonesia and five students. Discourse analysis of the interview data was conducted. The results showed that the teachers have a positive point of view about the authority of politeness strategies, reflected in Indonesian English textbooks, on their student's communicative competence. Unfortunately, the teachers could not explain in more detail the aspects of communicative competence which could be influenced by politeness strategies in the English textbooks. The interviews with the students indicated that politeness strategies reflected in their English textbooks supported the student's linguistic competence and strategic competence.