Reviewerly/exHarmony huggingface dataset:
모바일을 활용한 말하기 과제가 한국어 학습자의 말하기 효능감에 미치는 영향

The purpose of this study is to create a model of a speaking task activity for Korean language learners that can be practiced on a mobile device, and examine the satisfaction and speaking effectiveness derived through this activity. To achieve this purpose, a mobile device based speaking task model was created. This model was used four times for intermediate-level Korean language learners in a test group. After the four sessions, it was found that the test group had acquired more speaking effectiveness than the control group. Additionally, learners in the test group were satisfied with opportunities to practice Korean pronunciation, creating interest, and providing specific feedback while carrying out tasks using mobile devices. In conclusion, this Korean speaking task activity using a mobile device can be beneficial to Korean learners who want to improve their speaking effectiveness and speaking skills. Further, this study suggests a positive direction for the teaching of spoken Korean when most Korean language teachers are forced to conduct online classes due to the COVID-19 pandemic in 2020.
A Single Historical Painting Super-Resolution via a Reference-Based Zero-Shot Network

As an important part of human cultural heritage, many ancient paintings have suffered from various deteriorations that have led to texture blurring, color fading, etc. Single image super-resolution (SISR) which aims to recover a high-resolution (HR) version from a low-resolution (LR) input is actively engaged in the digital preservation of cultural relics.Currently, only traditional superresolution is widely studied and used in cultural heritage, and it is difficult to apply learning-based SISR to unique historical paintings because of the absence of both ground truth and datasets.Fortunately, the recently proposed ZSSR method suggests that it is feasible to generate a small dataset and extract self-supervised information from a single image.However, when applied to the preservations of historical paintings, the performance of ZSSR is highly limited due to the lack of image knowledge.To address the above issues and to unleash the great potential of learning-based methods in heritage conservation, we present Ref-ZSSR, which is the first attempt to combine zero-shot and reference-based methods to achieve SISR.In our model, both global and local multi-scale similar information is fully exploited from the painting itself.In an end-to-end manner, this information provides consistent artistic style image knowledge and helps synthesize SR images with sharp texture details.Compared with the ZSSR method, our approach shows improvement in both precision (approximately 4.68 dB for scale ×2) and visual perception.It is worth mentioning that all image knowledge required in our method can be extracted from the painting itself, i.e., external examples are not required.Therefore, this approach can be easily generalized to any damaged historical paintings, broken murals, noisy old photos, incomplete art works, etc.
ABOUT QUANTUM COMPUTER AND QUANTUM MEDICINE

The foundations of quantum physics have been laid by Max Planck, who suggested that energy couldn’t be absorbed and radiated continuously, but only in separate portions - these portions were called quanta. His ideas were confirmed in numerous physical experiments on the photo effect, the structure of the atom and atomic nucleus, brilliantly performed by Bohr and Rutherford. All this in the aggregate made it possible to eliminate the border between matter and waves, predicted by Louis de Broil. In this way the foundations of quantum mechanics were laid = Heisenberg and Schrödinger did this work. Many manifestations of quantum physics can already be observed in everyday life. These are optical quantum generators, computer CDs, and integrated circuits and lots and lots of this. In recent years, the researchers have drawn their attention to other quantum physics applications related to queries. By their design, this work will be carried out in the future by quantum computers. The article presents a short report on the quantum computer and the prospects for its use in quantum medicine.
PENGEMBANGAN MEDIA PEMBELAJARAN VISUAL NOVELBERBASIS ANDROID UNTUK MENGETAHUI HASIL BELAJAR SISWAPADA MATA PELAJARAN PENGOLAHAN HASIL HEWANI KELASXII TPHP SMK NEGERI 2 CILAKU CIANJUR

Limitations of the use of instructional media often still occur in the teaching andlearning process that can affect student learning outcomes, because of that the newlearning media are needed which can trigger the student learning. The purpose ofthis study are: 1) Looking for the feasibility of a deleveloped visual novel learningmedia; 2) Looking for learning outcomes after implementing visual novel learningmedia. The method in this study are divided into two parts: 1) The method for mediadevelopment is Watrerfall model; and 2) The method for determine student learningoutcomes after the implementation of visual novel learning media is quasiexperimental design. The data collection in this study was carried out through aquestionnaire and observation. The results are as follows: 1) The result ofvalidation media are; The media expert judgment declare “sangat layak”, themateri and test expert judgment declare “sangat layak” and verbal expert judgmentdeclare “sangat layak”; 2) The application of learning media by using quasiexperimental design method shows the results that the student in experiment classwhich uses the visual novel as media learning get the better results than classcontrol which uses power point as media learning.
한류 기반 한국어 학습자를 위한 팬픽션 활용 방안 탐색

This study aims to explore the possibility of utilizing fan fiction as an education method to teach K-culture based Korean language. Korean language education using fan fiction is a new attempt to reflect the expectations and demands of Korean Wave-based learners through active participation. In this study, we discuss the specific meaning and educational benefits of fan fiction and searched for ways to utilize it in the Korean language education field. Based on case studies conducted overseas, we observed the educational impact of fan fiction resulting in voluntary language learning and improvements in learners’ language aptitude through active feedback and various communication activities. In order to apply this fan fiction to the Korean language education field, it was important to establish “affinity spaces” along with how and where voluntary and active communication could take place in educational challenges. This study is meaningful in that it explored ways for K-culture based learners to learn Korean actively and efficiently through fan fiction. It also presents educational spaces and measures that meet the needs of the timely requirements, where the importance of online classes is emphasized. (KyungHee University)
A Two-Decade Literature Review on Challenges Faced by SMEs in Technology Adoption

The purpose of this study is to discuss the importance of technology for SMEs. The world is moving towards technology 5.0, SMEs have not able to adopt technology 2.0 effectively. COVID-19 pandemic has taught the world about the importance of technology in effective working from remote places. In the first section of this study, the authors will discuss the importance of technology adoption; later, the second section will focus on the various challenges in the adoption of technology. The research methodology is based on a systematic literature review. The authors have reviewed the literature of the last twenty years to judge the challenges pertaining to technology adoption. The literature has been reviewed in a longitudinal manner. The findings of this study suggest that the significant challenges in technology adoption are the cost of technology and infrastructure, technical skills and efficiency, adoption challenges, lack of organizational support, and governmental support.
The Application of F-Term on Feature Transfer – Exemplified with Muffler

Japan patent database uses F-term (File forming term) to retrieve patents by viewpoint and item code in a more precise way. Feature transfer is used to combine the strong feature 2 in alternative system to the base system with strong feature 1. The way to choose alternative system with strong feature is usually ad hoc and thus confuses new learners of feature transfer. It is the goal of this research to solve this dilemma. F-term is applied to feature transfer to find the proper alternative system with strong feature 2 in a systematic way. This research uses a muffler as an example to apply the excellence of F-term in the TRIZ’s feature transfer. There are two features, reduce noise and reduce back pressure, in the feature transfer of muffler. The basic system of the feature transfer is the improved muffler, which is characterized by the spiral turbulent tubes used to reduce noise. Whereas the competing system with strong feature in reducing back pressure is Japanese patent JP2010-065535, exhaust system of engine. The alternative system is found by the F-term 3G004DA01, and keyword: back pressure. Keywords: File forming term, reduce back pressure, reduce noise, alternative system, muffler.
Intelligent wheelchair positioning control system based on single chip microcomputer

The design of an intelligent wheelchair positioning control system based on single chip microcomputer mainly solves the core problem that many people need to live with the help of wheelchairs because of the aging population and a variety of disease factors. in this case, it needs to be taken care of by the staff, but the family in this case is not rich, and it will cause embarrassment for the family and the family.Through the analysis, we can know that the most worried about the occurrence of wheelchair patients is that they are worried about their loss and are unable to grasp their geographical location.Make the children or relatives worried and unable to work, this design uses single-chip microcomputer as the core controller, combined with dipper module for positioning, and uses Hall module to detect its driving state.to achieve the purpose of learning the travel status of wheelchair patients in time.So that their children can work at ease.
Research Guides: Summer Tales 2021: About

Summer Tales is a virtual community for students taking classes remotely. It promises short mental breaks from coursework through reading and social interaction, two fool-proof methods of distraction.
AN ANALYSIS ON STUDENTS’ DIFFICULTIES OF SPEAKING ENCOUNTERED BY EFL LEARNERS( A Descriptive Study on Third-Semester Students of English Education Department Faculty of Teacher Training and Education Pancasakti University Tegal in Academic Year 2020/2021)

Wiyana, Lia. 2021. 1616500024: “An Analysis Of Students’ Difficulties Of Speaking Encountered By EFL Learners”. Research project Strata 1, English Education Department of Teacher Training and Education Faculty, Pancasakti University Tegal. First Advisor Dr. Yoga Prihatin, M.Pd and second Advisor H. Sumartono, M.Pd.Speaking is a significant skill to be developed and increased as means of effective communication. The research explained about the speaking difficulties, and aims to find out the major difficulty in speaking that encountered by EFL learners at Pancasakti University Tegal. The study more over aims at exploring the factors of causes of such difficulties.This research used a descriptive research, and the research instrument using a questionnaire on difficulties that face the Eglish students. The questionnaire also using an open-ended question. The sample of this research is the Third-Semester English student at Pancasakti University Tegal. The researcher choose Class A as a sample consisted of 20 students.From the data analysis, the finding shows that the main speaking difficulties of the students is ‘lack of confidence. and causes of the speaking difficulties can be concluded that lack of confidence 13%, pronounciation 12%, vocabulary, fear of mistake, lack of motivation 11%.Keyword: Speaking, EFL, speaking difficulties, causes of speaking problems.
Distribution characteristics of elemental grade and mineralization grade of Jiama copper deposit

Abstract The change of metallogenic element grade in borehole has strong randomness and nonlinearity. Quantitative analysis of metallogenic element grade distribution is one of the important ways to reveal the degree of mineralization enrichment. Taking Jiama porphyry copper deposit as an example, the distribution structure of Cu grade series in exploration lines 32 and 36 is analyzed by lacunarity method, and this paper discusses the relationship between lacunarity index and mineralization intensity. It is found that both the lacunarity index and parameters of Cu element in different boreholes exist distinction, the higher the mineralization intensity, the smaller the lacunarity index and the smoother the curve, pointing that the high-grade Cu element is more enriched and uniform. The size of lacunarity index and the variation trend of lacunarity curve have a certain indicative effect on mineralization grade.
ПРОБЛЕМА ФОРМИРОВАНИЯ ТВОРЧЕСКОЙ ДЕЯТЕЛЬНОСТИ У УЧАЩИХСЯ ПРИ ОБУЧЕНИИ ХИМИИ

The development of creative abilities in students in teaching chemistry is mainly associated with the use of the research method, which is characterized by almost complete independence of the students in the implementation of educational tasks; student research is considered as a process that systematically unfolds in clearly defined, student-aware stages. The article describes the methods of formation and development of creative activity among students in teaching chemistry in secondary school and the possibility of using creative tasks as the main means of developing students' experience of creative activity. The effectiveness of the formation of creative activity among students in teaching chemistry through creative tasks has been proven by a pedagogical experiment.
Opinion Mining and Real-World Challenges

Along with the increase in internet use and e-commerce, there is a great spark off of the opinions and expressive comments. These reviews are very beneficial for government, merchandises in trade and users involved. They give a broad insight into multiple facets of the product and details of the user. However, things are not as effortless as they seem. There are lots of challenges faced in dealing with the decoding of a single statement or sentiment. The paper focuses on these challenges and highlights the scope for further research and development in the field of opinion mining or sentiment analysis.
Tomek link Undersampling with Stacked Ensemble classifier for Imbalanced data classification

Imbalanced data is referred as unequal distribution of data between classes as a result of classifier. Majority class have higher percentage of data than minority class .Predicting the classifier accuracy is mostly biased toward the majority class, this leads to class imbalance problem. Misprediction of minority class has great loss in financial sector and life threatening problem in medical field. To solve the issue imbalanced dataset should be balanced by means of oversampling the minority class data or  undersampling the majority class data. Oversampling can cause over fitting of data. Among many undersampling algorithm Tomek link under sampling algorithm remove the noisy and borderline samples from majority class without losing important information of data. Tomek link undersampling algorithm can be applied to  4 benchmark Imbalanced dataset from UCI repository such as breast-W, breast cancer, hepatitis, heart diseases and so on. Stacking Ensemble classifier combine the output of individual classifier and fed to next level meta classifier to predict the result. First level prediction has been done using individual classifier such as NaiveBayes, Logistic Regression etc the output of first level fed to Meta classifier which predict the final class label. Performance measures such accuracy, precision, recall and auc_roc score are measured and compared with state of art classifier such as Support vector Machine, Decision tree, Naive Bayes Classifier, K-Nearest Neighbour .Tomek link undersampling data applied to stacking classifier predict accuracy of 0.94 and roc_auc score of 0.97 which outperform the individual classifier performance measure
Extracting Explainable Assessments of Alzheimer’s disease via Machine Learning on brain MRI imaging data

A plethora of machine learning and deep learning methods are used for the assessment of Alzheimer’s Disease (AD) from brain structural changes as seen in Magnetic Resonance Imaging (MRI) with highly satisfactory results. However, these models are black-box and lack an explicit declarative knowledge representation and thus there is a difficulty in generating the underlying explanatory imaging structures. The objective of this study was to investigate the usefulness of rule extraction in the assessment of AD using decision trees (DT) and random forests (RF) algorithms and integrating the extracted rules within an argumentation-based reasoning framework in order to make the results easy to interpret and explain. The DT and RF algorithms were applied on brain MRI images acquired from normal controls (NC) and AD subjects. The KNIME analytics platform was used to compute the DT and the R project was used for the RF. The argumentation model implemented in the Gorgias framework achieved an average accuracy of 91%, exhibiting improved results compared to the models of DT and RF. The overall performance of all models in this study is in agreement with other studies. In addition, the explanations given by our approach for the various possible predictions provide a more useful and complete assessment of the state of the patient/case at hand. This study demonstrated the usefulness of rule extraction in the assessment of AD based on MRI features and the positive results of the use of the argumentation based symbolic reasoning for composing and interpreting the ML results.
DEA를 이용한 해군장교 인사자료평가에 관한 연구

The purpose of this study is to evaluate the personnel data of the candidates for promotion of naval officers based on efficiency. In addition, the inefficiency of the inefficient candidates and the goals to be improved are derived. The input and output variables to evaluate the personnel data were selected, the mathematical model was constructed, and the personnel data evaluated using the DEA. Based on the efficiency score and the number of benchmark, the ranking of personnel data was determined and compared with the current method. The goal is to improve efficiency by measuring the inefficiencies of each decision making unit through benchmark group.
REKOMENDASI PEMILIHAN RUMAH TINGGAL PADA SISTEM PEMASARAN RUMAH ONLINE BERBASIS MOBILE DENGAN MEMANFAATKAN WEB SERVICE REST

Increased population growth makes many people also need a house to live in and certainly not a very easy thing to choose the right house in accordance with the wishes because there are several factors used in housing selection, including land area, building area, house floor, number of rooms, distance from education, distance from the hospital, distance from the police station, distance from firefighters, and land prices. One solution that can be done is to use information technology in home data processing. One of the technological advancements that can overcome this is the existence of recommendations to determine homes using the Simple Additive Weighting (SAW) method and assisted by using the rest of the web services as data processing and processing, because web service rest is a system created to support data exchange capabilities in two or more systems connected to the network and other web services also support the use of XML or JSON as a data exchange format so that the interface created can be a mobile application. In this study the authors can produce a mobile-based housing recommendation application by utilizing web service rest in data processing to provide residential recommendations as a one of the solution to facilitate its search in accordance with what is desired by the user.
LibGuides: Library UX Project EH301 Spring 2021: Home

This guide is to post announcements and information about the Spring 2021 EH301 Library UX Projects.
Aplicabilidad de la Realidad Aumentada Mediante los Códigos QR en Procesos Gráficos en Organización Molecular

This research corresponds to the analysis of the functionality of augmented reality (AR) applications with the use of QR codes in the molecular organization of chemical elements and compounds, which are directed to an indigenous population of Cabecar at the Roca Quemada Rural School. that does not have access to technological networks. In the methodology, the qualitative approach and the research-action design were used, where it tries to address the effectiveness of the teacher in dealing with information through virtual applications that favor augmented reality, a methodological strategy is applied to high school students in order to observe the behavior of the students and the teacher in charge, with the use of RA App`s. The result is that the use of this methodology favors the absorption of information, in addition to not being necessary access to the web networks to complete the best results.
A model for preparing future elementary school teachers to design educational content

The article describes the future primary classes teachers preparation model for designing educational content. The model is presented as a set of four interrelated blocks: target, conceptual, content and technological. The model is based on the essence and components study of pedagogical university students readiness to design educational content.
PENINGKATAN KEMAMPUAN PRAGMATIK SISWA MELALUI PENERAPAN BERMAIN PERAN DALAM PENGAJARAN BAHASA INDONESIA DI SMA NEGERI 5 MATARAM

This classroom action research aims at improving the SMAN 5 students’ pragmatic competence of Bahasa Indonesia through the role-play and their motivation in learning Bahasa Indonesia. In general, this research was conducted in four cycles. Each cycle consists of (1) preparation; (2) the application of role-play, which consists of the initial stage, implementation of role play, and evaluation; (3) observation; and (4) discussion. Based on the analysis, it is found that the students’ pragmatic competence can be improved through the implementation of role-play. The students’ achievement can reach the three instructional domains, namely cognitive, affective, and psychomotor. Also, the students’ participation, enthusiasm, and attitude to the subject matter Bahasa Indonesia are increase as well as the teachers' professionalism because of the role-play implementation.
한국어 어휘 교육을 위한 코퍼스 기반 프로그램의 활용과 의의

The purpose of this study is to investigate corpus-based programs for Korean language education. In regards to second and foreign language learning, corpus as a data-driven learning tool has been positively regarded for many years. It is an important medium to learn about Korean vocabulary education. However, there is a lack of empirical studies on corpus and its program utilization in Korean vocabulary education. This study explores the corpus-based programs, such as Word Cloud, Concordancer and Ngram Viewer utilized in language education, then examines strategic factors that can be applied to Korean language education. This study provides new perspectives on teaching and learning strategies for Korean vocabulary education. (Busan University of Foreign Studies)