Reviewerly/exHarmony huggingface dataset:
보육교사가 느끼는 놀이중심 교육과정의 의미에 관한 탐색적 연구

Recently, domestic and foreign curriculums are moving toward meeting the future society with the focus on competence.,Therefore, the 2015 revised elementary and secondary school curriculum emphasizes the learner's experience and pursues 'happiness education to enjoy learning'. According to the needs of this era, the Ministry of Education of South Korea reorganized and implemented the curriculum centered on children and play as an innovation plan for early childhood education in March 2020 as a curriculum commonly applied to children aged 3 to 5. The purpose of this study is to find out the support and improvement plan based on the understanding of the field by exploring what difficulties daycare teachers have in accepting and practicing play-centered curriculum after the implementation of the curriculum. For this purpose, the informal individual interviews were conducted twice for eight teachers working at a daycare center in G city. As a result, the daycare teachers gave meaning to play-centered curriculum as 'child discovery playing independently', 'discovery of value for play', and 'change in role of teacher'. The difficulties in practice were 'limits of play support', 'ambiguousness of intervention', 'internal obstacles', 'lack of understanding of parents', and 'overwork'. Through this study, it is possible to understand the awareness and difficulties of daycare teachers about play-centered curriculum. The date can be used for stable settlement of play-centered curriculum in the field., Furthermore, it is expected that the implications for practical on-site support of play-centered curriculum can be presented.
DRAT - A Dynamic Resource Allocation Tool for Estimating Compute Power in a Cybersecurity Engineering Learning Facility

Cybersecurity laboratory infrastructure has direct impact on the quality of student learning experiences. Because of this, the computing education field has developed a variety of approaches to designing and implementing these learning facilities. Yet, little work has gone into how to properly size cybersecurity laboratory infrastructure relative to student population and curricular compute power demands. The result has been laboratory infrastructures that do not scale with degree programs. Consequently, laboratories are either underpowered, thus limiting learning experiences, or overpowered which wastes financial resources. Accordingly, this work presents DRAT, an open-source software tool, for estimating necessary compute power in a cybersecurity engineering learning facility. More specifically, DRAT is designed to estimate the required discrete compute power on a per exercise basis in a cybersecurity engineering learning facility operating in a private cloud model. Such discrete estimations are intended to communicate physical host hardware requirements such as physical CPU core count, virtual RAM, and total Hard Disk space. The first step in designing DRAT was to forge a model estimator function. Then, we identified a series of scalar abstractions representing learning facility hardware infrastructure and behaving as conversion factors between the model function and output. Because the goal of this work was to provide estimates for cloud compute power requirements, DRAT outputs the number of physical cores, total RAM, total Disk, and total (virtual or physical) Network interfaces required to run the indicated scenario. The implication is that such estimates can inform purchasing and configuration decisions which directly impact student learning outcomes.
The Amazing Race Repeated Update Q-Learning VS. Q-Learning

In this paper, we will conduct an experiment that aims to compare the performance of two reinforcement learning algorithms, the Repeated Update Q-learning algorithm (RUQL) [1] and the Q-learning algorithm(QL) [5]. A simulated version of a robot crawler developed by [6] will be used in this experiment, it is shown in figure (1). An investigation study about the difference in performance between RUQL and Q-learning algorithm (QL) [5] is discussed in this paper. Several trials and tests were conducted to estimate the difference in the crawler’s movement using both algorithms. Additionally, a detailed description of the Markovian decision processes (MDPs) elements [2] is introduced, MDP model includes states, actions and rewards for the task in hand. The parameters that were used and tuned in this experiment will be mentioned and the reasons for choosing their values will be explained.  Finally, the source code for the crawler robot was modified in order to implement RUQL and Q-Learning (QL) algorithms, Eclipse [3] and Java SE Development Kit 8 (JDK) [4] are used for this purpose. After running the crawler robot simulation, the results drawn from the experiment showed that RUQL significantly outperforms the traditional QL.
ROC curves for clinical prediction models: from waste of ink towards useful insight?

OBJECTIVE: Receiver operating characteristic (ROC) curves show how well a risk prediction model discriminates between patients with and without a condition. We aim to investigate how ROC curves are presented in the literature and discuss and illustrate their potential limitations. STUDY DESIGN AND SETTING: We conducted a pragmatic literature review of contemporary publications that externally validated clinical prediction models. We illustrated limitations of ROC curves using a testicular cancer case study and simulated data. RESULTS: Of 86 identified prediction modelling papers, 52 (60%) presented ROC curves without thresholds and 1 (1%) presented a ROC curve with only a few thresholds. We illustrate that ROC curves in their standard form withhold threshold information, have an unstable shape even for the same area under the curve (AUC), and are problematic for comparing model performance conditional on threshold. We compare ROC curves with classification plots, which show sensitivity and specificity conditional on risk threshold. CONCLUSION: ROC curves do not offer more information than the AUC to indicate discriminative ability. To assess the model's performance for decision-making, results should be provided conditional on risk threshold. Therefore, if discriminatory ability must be visualized, classification plots are attractive.
СТРАТИФИКАЦИЯ КЕРАМИЧЕСКИХ КОМПЛЕКСОВ НЕОЛИТА РЕКИ КОНДЫ

Purpose . Over the past 40 years, dozens of pit-houses, semi-dugouts, above-ground huts, hearth-like structures, and burial grounds have been investigated on the territory of the Konda River basin. Classification of cultural artifacts is based on stylistic attributes and distinctions of ceramics, while chronology rests on conventional 14C dating. At the present stage, one of the most important tasks is to develop the chronology and periodization of the Neolithic sites located in the Konda River basin. The starting point in the solution of this problem should be the multilayer stratified habitation sites. This paper presents the results of the investigation of Mulymya-3 settlement, which is one of such sites. Results . In 2019, early Neolithic stratified complexes were studied in Mulymya-3 settlement. The excavations of the early buildings revealed that among the predominant artifacts of flat-bottomed dishes, there also were layers of Shoushma and Sumpanya type pottery. The stroke-ornamented ware, i. e. flat-bottomed ceramic dishes with collars and rims, were classified as “Mulymya type pottery”. 14C dating of the soot from a flat-bottomed vessel suggested that the site was more or less continuously occupied between 6 690-6 500 cal. BC. Conclusion: The artifacts from Mulymya-3 settlement made it possible to shift the lower boundary of the Neolithic age in the Konda River basin to earlier dates. A typical feature of the earliest period (6 600 / 6 500 - 3 600 / 3 400 cal. BC) is Mulymya, Shoushma, and Umytinsky type pottery characterized by original traditions of ceramic production. The appearance of pottery in the second third of the 7th millennium BC did not affect the traditional economy of taiga societies. The stone-working technique was based on fracturing technologies (percussion flaking, pressure flaking, chipping, splintering), abrasive processing, and battering. In the 6th millennium BC, the people belonging to Shoushma and Umytinsky cultures started contacting with each other, which can be proved by dishes of both types found in the excavated pit-dwelling in similar stratigraphic conditions. Another proof is the appearance of mixed-looking pottery, in particular dishes of the Sumpanya type. From the end of the 6th millennium, the Shoushma pottery traditions were gradually degrading. From that time and until the turn of the 5th-4th millennia BC the Konda River basin was inhabited by the Umytinsky population. It is probable that those were the people who continued the tradition of making flat-bottomed dishes (Satyginsky / Boborykinsky type pottery).
THE TRANSACTIONAL ANALYSIS OF THE FACTORS THAT INFLUENCE THE CONTENT OF PEDAGOGICAL SUPPORT IN INCLUSIVE EDUCATION

The difficulties of children and students in the educational process are a consequence of various factors – internal and / or external. Accurate and timely identification of these factors by general education teachers is a step towards the success of inclusive education. This report presents the transactional analysis of the factors that create difficulties for children and students in the educational process and influence the content of pedagogical support in inclusive education. For children and students at the level of general support, the transactional understanding of external and internal barriers to learning, teaching, parenting and development provides a useful starting point. Eni general support, transactional analysis can provide useful information and help improve the prevention of learning difficulties. The presented transactional analysis of the factors determining the pedagogical support ас inclusive education allows to personalize the training ас order to be adequate to the individual educational needs of the children and the students.
교정시설 수용자 교육의 한계 및 형집행법령 개정 방향

The prison education is very important in terms of improving the prisoners' basic academic skills and expanding social adaptation and employment opportunities after release. This study compares the provisions related to the prison education in the international human rights law and the current the, prison laws and suggests a direction to improve the current prison laws so that the education of prisoners prescribed in the international human rights law can be achieved. First, the current law is not clear about the provisions of the right to education guaranteed under international human rights law and constitution. In addition, prison school education is being conducted centered on sentenced inmates. Second, among the inmates, opportunities for basic education should be given to those who are illiterate, youth, and those who have not completed compulsory education. Third, the inmate curriculum should be integrated with the general curriculum of state institutions. Fourth, school education in correctional facilities should be provided with certain educational facilities and should be conducted by professional teachers. Fifth, all correctional facilities should have a library and can be used as a complex space for education, culture, entertainment, and art. Seventh, the education of prisoners should be linked to school education, libraries, and professional human resources in the community. Eighth, the grounds for the inmate's undergraduate course should be based on the higher prison laws. Ninth, a follow-up survey at the national level is needed to see how education affects the resocialization of inmates.
Algoritma Honey Encryption dalam Sistem Pendataan Sertifikat Tanah dan Bangunan di Universitas Malikussaleh

The management of Land and Building Certificates at Universitas Malikussaleh is still using a manual library in Biro Perlengkapan which contains some problem whereas it can be burned accidentally refers to fire case in 2017 in Rektorat Building at Universitas Malikussaleh. Given the problem faced by the staff in Biro Perlengkapan, the authors idea is to create a database-based data processing system, the authors designed an integrated information system which be able to anticipated such problem in the future and saving time to collecting important certificates such Land and Building Certificates at Universitas Malikussaleh and protecting them with Honey Encryption algorithm. The information system based on desktop and works as a client-server system. The result of this research provide that the honey encryption algorithm can protect the data and it can solve the problem in management system of land and building certificates.
3D-skrivarteknik, mode och framställning av exemplar för privat bruk inom upphovsrätten : En modernisering av upphovsrättslagstiftningen i takt med teknikens framfart

AbstractCopyright is seen everywhere in the society. It is structured to accommodate several perspectives, namely, a balance between protecting the individual copyright owners’ rights and encouragi ...
A Case Study on the Application of ARCS Model in Short term Business Chinese Class

This case study intends to introduce the cases of applying ARCS model in short term Business Chinese class. ‘A’ Korean University opened a special program for senior students who are willing to learn skills and knowledge for job. This program provide chinese class which is delivering by Chinese. We could call it Content-Based Instruction method. We assumed that Most of special purpose Chinese class puts more burden on lecturer, although it could be more harder when it goes with Content-Base Instruction. However, the student have high expectations for class. We hoped that this case study of short-term special-purpose Chinese education with ARCS Model could be an example for others.
Knowledge Graph and Deep Neural Network for Extractive Text Summarization by Utilizing Triples

In our research work, we represent the content of the sentence in graphical form after extracting triples from the sentences. In this paper, we will discuss novel methods to generate an extractive summary by scoring the triples. Our work has also touched upon sequence-to-sequence encoding of the content of the sentence, to classify it as a summary or a non-summary sentence. Our findings help to decide the nature of the sentences forming the summary and the length of the system generated summary as compared to the length of the reference summary.
창발문법에 의한 일본어 동사 이음편의 분석

This paper aims to explain a euphonic change, so-called I-onbin, on Japanese verb conjugation within the framework of Emergent Grammar.There have been arguments over underlying representations on Japanese verb conjugation in the previous studies. Archangeli & Pulleyblank (2017) proposed a model of Emergent Phonology, which was built in surface-oriented morph model without underlying representation. I adopt this model in this paper, and explain the euphonic change, I-onbin without any underlying forms. Therefore, in this study, we can be free from arguments about underlying representations on Japanese verb conjugation.It was a difficult problem to explain the opacity of I-onbin on Japanese verb conjugation in Classic Optimality Theory (Prince & Smolensky 1993/2002). Because Optimality Theory is based on parallelism without derivation. The Emergent Phonology model is also based on parallelism, but opacity is not an issue in this model. Because opacity is a problem that occurs on the premise of a single underlying representation for each morpheme, but the Emergent Phonology model does not assume underlying representation. This paper shows that the opacity of I-onbin on Japanese verb conjugation, which was difficult to handle in Classic Optimality Theory, is not an issue in Emergent Grammar.
LibGuides: Identifying Sources in Works Cited Lists and Bibliographies: Try this Quiz!

Works cited lists are very effective ways to find relevant sources for your research. In order to be able to make use of the information in works cited lists, you must be able to identify the kind of source it is: is it a book, a chapter in a book, a jour
Dynamic Combination of Genetic Clustering Using Efficient Optimization Algorithm

Data clustering is one of most commonly used techniques in the literature of Machine Learning and Pattern recognition. K-means algorithm is a well-known clustering algorithm in data mining because of its high operational speed and ease of implementation. However, problems such as sensitivity to initial solutions and the risk in getting trapped at local optima hinder its performance. Inspired by a dynamic population assignment method which is based on the rate of improvement and mean of performance, a new approach named DCGCA is proposed by employing the Dynamic Combination of Genetic Clustering Algorithm. It is shown that the performance of DCGCA is improved by employing the genetic clustering through the weighted particle swarm optimization algorithm in solving the problem getting trapped in local optima. The simulation results of the proposed method and comparison analysis with alternative methods confirms its higher efficiency and better performance.
INNOVATIVE PRACTICES IN CONDITIONS OF EMERGENCY IN BULGARIA USED IN THE NATIONAL MUSIC SCHOOL „LYUBOMIR PIPKOV“

In the conditions of institutional and state crisis, the people responsible for the education and upbringing of adolescents react with an adequate unified approach to the requirements and, in turn, they achieve solid results. The purpose of this report is to present innovative approaches and practices brought on by the atypical conditions of social isolation imposed by the COVI D-19 pandemic and to reveal the organization of parents, teachers and second grade students at the National Music School „Lyubomir Pipkov“. The focus of the research is the search for appropriate ways to promote new knowledge, as well as conducting an exercise to consolidate what is learned in class. The topic of the study is the teaching through online lessons and the involvement of parents in the learning process. The subjects are the students from the second „B“ class of the National Music School „Lyubomir Pipkov“. Online learning has contributed by providing the opportunity for many arts to be present in the classes: music, literature, theater, dance, children’s art.
Drift anticipation with forgetting to improve evolving fuzzy system.

Working with a non-stationary stream of data requires for the analysis system to evolve its model (the parameters as well as the structure) over time. In particular, concept drifts can occur, which makes it necessary to forget knowledge that has become obsolete. However, the forgetting is subjected to the stability-plasticity dilemma, that is, increasing forgetting improve reactivity of adapting to the new data while reducing the robustness of the system. Based on a set of inference rules, Evolving Fuzzy Systems-EFS-have proven to be effective in solving the data stream learning problem. However tackling the stability-plasticity dilemma is still an open question. This paper proposes a coherent method to integrate forgetting in Evolving Fuzzy System, based on the recently introduced notion of concept drift anticipation. The forgetting is applied with two methods: an exponential forgetting of the premise part and a deferred directional forgetting of the conclusion part of EFS to preserve the coherence between both parts. The originality of the approach consists in applying the forgetting only in the anticipation module and in keeping the EFS (called principal system) learned without any forgetting. Then, when a drift is detected in the stream, a selection mechanism is proposed to replace the obsolete parameters of the principal system with more suitable parameters of the anticipation module. An evaluation of the proposed methods is carried out on benchmark online datasets, with a comparison with state-of-the-art online classifiers (Learn++.NSE, PENsemble, pclass) as well as with the original system using different forgetting strategies.
Blockchain Privacy Through Merge Avoidance and Mixing Services: a Hardness and an Impossibility Result

Cryptocurrencies typically aim at preserving the privacy of their users. Different cryptocurrencies preserve privacy at various levels, some of them requiring users to rely on strategies to raise the privacy level to their needs. Among those strategies, we focus on two of them: merge avoidance and mixing services. Such strategies may be adopted on top of virtually any blockchain-based cryptocurrency. In this paper, we show that whereas optimal merge avoidance leads to an NP-hard optimization problem, incentive-compatible mixing services are subject to a certain class of impossibility results. Together, our results contribute to the body of work on fundamental limits of privacy mechanisms in blockchain-based cryptocurrencies.
PENGARUH PERHATIAN DAN MOTIVASI ORANG TUATERHADAP PRESTASI BELAJAR XI IPS SMA

Abstract : This research is motivated by the importance of family factors in particular the attention and motivation of parents to improve student achievement in school. From the results of questionnaires and documentation with in XI IPS class of SMAN Integrated Model Bojonegoro students, it was found that students' learning achievements varied, there were those who got the highest, medium and low scores. Student achievement is influenced by many factors, including the factors of parent's attention and motivation. This study aims to determine the effect of parents' attention and motivation on learning presentations in in XI IPS class of SMAN Integrated Model Bojonegoro.This research uses a quantitative research design. Data obtained using a questionnaire (questionnaire) and documentation. While the data analysis technique uses product moment correlation analysis. The results showed that attention did not affect student achievement as indicated by rcount<rtable. That is 0.102 <0.266 at a significance of 5% and 0.102 <0.345 at a significance level of 1%. Thus Ho is accepted and Ha is rejected. While the motivation of parents does not affect student achievement as indicated by rcount<rtable.That is 0.193<0.266 at a significance of 5% and 0.193<0.345 at a significance level of 1%. Thus Ho is accepted and Ha is rejected. Similary, the attention and motivation of parents does not affect learning achievement in XI IPS class of SMAN Integrated Model BojonegoroKeyword : attention, parental motivation, learning achievement
A Study on the Change of Education System with the Development of Digital Content Industry

Due to the development of science and technology and the emergence of new industries, the environmental change of the digital contents industry is rapidly progressing. The scope of technological development in the digital contents industry is affecting not only the entertainment industry but also various industries. Recently, with the development of digital convergence using realistic content, games, video, and VR have provided new opportunities for the growth of the content industry. The researcher determined that a new education system would need to be changed as the digital contents industry developed. For this purpose, an AHP questionnaire was conducted for experts with a high basic understanding of the education platform based on previous studies. We proposed a platform model for human resource development as an education system that meets the demand of digital contents industry. The education system for nurturing talents needed by future society should include elements that can interest the learning of users. The platform should not be approached from a system point of view, but should be developed from the content and user's point of view, considering the platform's original purpose.