Reviewerly/exHarmony huggingface dataset:
The Role of Distance Learning in Shaping the Creative Activities of Future Teachers

It is well known that there are many benefits to distance learning in this article. All higher education institutions are working on the implementation of distance learning techniques and technologies. The development of information technology requires a new approach to the organization of distance learning. Modern models of distance learning are based on communication and network technologies. While these technologies provide users with a wide range of information, they also pose a challenge to their protection
The Need for Developing Early Reading Learning Devices in Primary School Class I Students

Indonesian language learning includes listening, speaking, reading and writing skills. One of the skills that the class I students need to have is reading. Learning to read in the early grades must start from the basic stage, which is reading the beginning. The ability to read the beginning determines the success of further reading. Several studies have revealed that students' reading ability in Indonesia is low. The ability to read the beginning of students is directly influenced by the quality of learning. One of the efforts made by educators to improve the quality of beginning reading learning is the skill to choose and determine what learning devices will be used in the process of learning to begin with. The learning tool for reading the selected beginning should be fun, challenging, meaningful and motivating students to improve their reading skills The learning tool for beginning reading with the right method, will determine the quality of the learning process. A good quality learning process can improve students' reading skills. Steinberg's method is a method that is considered to be able to improve the quality of early reading learning.
중국인 한국어 학습자 구어 발화의 어휘 오류 연구

This study investigates lexical errors in spoken Korean made by Chinese students learning Korean and illustrates the causes of these errors in order to prevent those errors from taking place in the future. In this study, 738 recorded files produced by 136 subjects have been analyzed. 1053 lexical errors identified have been categorised into 18 types of errors, which include literal translation, code-shifting, noun error, semantic similarity, formal similarity, pronunciation, overgeneralisation, omission and addition, word coinage, wrong choice, etc. According to the source, types of errors have been classified into four main categories: 1. Interlingual transfer errors (3 types); 2. Intralingual transfer errors (12 types); 3. Combination of both (1 type); 4. Unique errors (2 types). The four main categories of results of error ratios were as follows: 66.7% intralingual, 20.3% interlingual, 9.2% unique, and 3.8% combination. However, among the types of errors, the most frequent type was errors of literal translation in all levels. Thus, it is important to illustrate the causes of lexical errors, especially those caused by native tongue-interference. The results of this study would provide Korean instructors with data and interpretations of lexical errors made by Chinese learners. Moreover, the findings of this study would be useful for designing lexical education programs.
근대계몽기 국어 교과서에 드러나는 종성에 대한 인식과 표기 양상

The purpose of this article is examining the recognition and aspects of writing about a final consonant which is one of the linguistic features appeared in Korean textbook in Enlightenment period. In Enlightenment period, 7 consonants, which are ‘ㄱ, ㄴ, ㄹ, ㅁ, ㅂ, ㅅ, ㅇ’, were used in the space of a final consonant. However, Korean textbook proposes 8~9 phonemes as a final consonant. Each textbooks showed different kind and number of consonants. The phonemes ‘ㄷ’ and ‘ㅣ’ showed a difference to others. In the case of ‘ㄷ’, it is the result of following the explanation of traditional orthography. Although ‘ㅣ’ is a vowel, it is sorted as a final consonant in several textbooks. The compiler of the textbook may recognize a final consonant as the sound that united thirdly.In this period, the standard orthography was not established. Therefore, the orthography of a continual spelling, a separate spelling, a double spelling, and a double phonemic writing was mixed. In a declension, a separate spelling mainly used and there was no continual spelling in the declension in some textbooks. In an inflection, there was not a big difference in the frequency of words that used a continual spelling, a separate spelling, and a double spelling. Most of verb stem final ‘ㄹ’ was written in a continual spelling in the inflection. Consonants which showed excessive syllabication in a morpheme are ‘ㄱ, ㄴ, ㅁ, ㅂ’. They were mostly syllabicated in both declension and inflection. In the case of double final consonants, only ‘ㄺ’ and ‘ㄼ’ used maintained form. Other than that, a continual spelling or a simplification of a consonant cluster occurred.
Pengembangan Rencana Pelaksanaan Pembelajaran (RPP) Menggunakan Model Snowball Throwing Pada Pembelajaran Tematik di Kelas V Sekolah Dasar (SD) Negeri Kota Bengkulu

This study aims to describe the results and process of developing lesson plans using the Snowball Throwing model in grade V Elementary School (SD). By designing a product in the form of RPP in thematic learning using the Snowball Throwing model, RPP development is carried out in several stages, namely: defining (defining), designing, developing (development) after successfully developing RPP then RRP validation by experts in two stages. In stage 1, the input of suggestions and comments from experts is used to revise the RPP, obtained an assessment of 83.65 with a good category, and in stage 2 an assessment of 88.45 is obtained with the very good category. Meanwhile, the teacher's assessment results obtained an average of 91.25 which is in the very good category. The conclusion of this study is to produce a thematic lesson plan development product using the Snowball Throwing model in grade V elementary schools.
Between territorial and virtual proximities. The digitization process of the French ecosystem of complementary local currencies

In less than 10 years, \complementary local have multiplied in France and have created a dynamic ecosystem. While almost all of them have developed with the introduction of paper money (notes), there is now a rapid shift towards digital tools, which for many analysts appears to be an essential factor in moving to a new stage in the development of these currencies. \r\nIn part one, the paper will discuss the challenges of this transition and the competitive/complementary relationships between local currencies and cryptocurrencies in the French context. The second part will study the strategies of actors to position themselves in the ongoing reconfiguration of the ecosystem. It will study the competition between digital solutions being adopted by complementary local currencies and consider the possibility of a new generation of local currencies in France through the emergence of FinTech players.
3D-CVQE: An Effective 3D-CNN Quality Enhancement for Compressed Video Using Limited Coding Information

How to obtain higher quality reconstructed video within limited coding resources is a research focus for video coding. First, the fluctuating quality, missing pixel and position fluctuation characteristics of the compressed video are found in this paper based on the block-based coding frameworks. Then, in order to reduce the degradation of compressed video quality caused by the above three characteristics, an non-aligned 3D-CNNs for compressed video quality enhancement called "3D-CVQE" is proposed, which can preserve and utilize limited input information in both temporal and spatial domains effectively. Finally, the experiments results validate the effectiveness and generalization ability of the proposed 3D-CVQE approach in the quality enhancement of compressed video.
Ways to use authentic reading and complete task types

Authentic materials are generally considered to be learning aids, especially reading skills.Reading exercises not only bring independence to learners but also build self-confidence.Among the authentic materials, the media has great potential in the study of language and culture.With the help of such materials, comparisons can be made, and discussions can be organized in the learning environment between the culture of the target language and students from different cultures.Although the position of newspapers among authentic materials has recently weakened due to the influence of the Internet, these materials are considered a rich resource for language learning.These materials are available to everyone, everywhere.This article provides detailed information on authentic reading rules.The purpose of writing this article is to explore the possibilities of language learning on the basis of authentic materials and to analyze the tasks on the use of these rules.The purpose of this article is to examine how to set up a preparation phase, what tools to use, and what tasks to choose.This article examines the methodological foundations for the use of authentic materials in the senior courses of a language university.It talks about the need to make radical changes to the existing system of teaching oral speech in a foreign language.The process of the English language as a whole and the learning process should be based on the communicative-functional principle.The teaching of oral speech should be purposeful, systematic, step-by-step, which will help to increase the effectiveness of this process.In the context of globalization, the main goal of teaching and learning foreign languages is to develop students' ability to use the language for communication purposes.Inductive, deductive, functional analysis and comparative methods were used in writing the article.
Integrating Rad-Model Into The Web Site Design Method (Wsdm)

Within the rapidly growth of internet, web-based applications are getting additional interest to investigate new and efficient methods to design and develop such applications. The Web Site Design Method (WSDM) is a followed process to develop web applications but it has the drawback of not including a testing phase within its lifecycle process. In this paper we are proposing an integrated model for WSDM with Rapid Application Development (RAD) model.
NCSI 모델을 활용한 군 마트의 만족도 평가 모델 개선

In order to provide a quality service to the military personnel in the military market, measuring and analyzing customer satisfaction using proper method is crucial. In this study, we examined the customer satisfaction of navy military market, exploiting the NCSI model with SERVQUAL. We practiced PLS analysis using survey data and the result shows the customer satisfaction score of navy military mart is relatively lower than private supermarket. The result suggests that the reliability represented by product assortments, and merchandise control is further required to enhance customer satisfaction.
Indian Fake Currency Note Detector

Counterfeit money is imitation currency produced without the legal sanction of the state or government. Producing or using this fake money is a form of fraud or forgery. Counterfeiting is as old as money itself, and is sufficiently prevalent throughout history that it has been called 'the world's second oldest profession'. This has led to the increase of corruption in our country hindering country's growth. There are machines present at banks and other commercial areas to check the authenticity of the currencies. But a common man does not have access to such systems and hence a need for a software to detect fake currency arises, which can be used by common people. Fake money recognition is very crucial and important aspect for today's life. In India, people are trying to have cashless transactions using various systems like Credit Card, Debit Card, Net Banking,Mobile Banking, UPI Applications, etc.But still, there are many places where people are not able to use these facilities.They have to use cash in such cases; and where cash comes into the picture, fake money also comes handin-hand.That's why, detecting such fake counterfeit money is very important.I.
Implementasi Fitur Keamanan Dengan Json Web Token Dan Fitur Geo-Tagging Pada Aplikasi Web Service Training From Home

In the COVID-19 pandemic phase, some business processes were halted, adapted, and modified to deal with the policy of social restrictions. This impact is experienced by all levels of society, including athletes who are forced to do training from home (Training From Home). Performance evaluation of athletes who do exercises from home must be able to be evaluated remotely, including in terms of presence during the exercise training program. Presence is one of the benchmarks of a person's level of performance or activity in terms of accuracy and discipline in a program of activities. Attendance activities in the form of check-in must be ensured safe and accurate, especially if there is data connectivity with the webserver. This study aims to implement security features with JSON Web Token (JWT) based on the 256 Hash algorithm. The research also implements geo-tagging features to obtain accurate coordinates based on location points. Athlete attendance data obtained by the presence of these features are then synchronized via web service using the REST architecture. All stages of implementation are then tested by the Black Box method, and the results show that JSON Web Token (JWT) is able to secure the authentication and data security process, while the Geo-tagging feature is capable of sending accurate position data. Testing the functionality of the web service shows that all features work well within 44.8 ms, while the positioning accuracy of the geo-tagging feature reaches an accuracy of 90.9%.
An Image Sharpness Enhancement Algorithm Based on Green Function

The traditional image sharpness enhancement algorithm faces several defects, namely, the lack of details, and the poor subjective effect. To solve these defects, this paper proposes an image sharpness enhancement algorithm based on the Green function. Specifically, the Retinex model was employed to ensure that the enhanced image has outstanding details, and the Poisson’s equation was solved to maintain the consistency between the enhanced image and the original image in the gradient domain. Then, adaptive brightness mapping was carried out to determine the boundary conditions suitable for display, and the boundary of the region was sampled to reduce the complexity of our algorithm. Experimental results show that our algorithm improved the contrast and sharpness of images from the levels of contrastive image enhancement algorithms.
Weekend in view with mostly dry, warmer forecast coming our way

Overnight showers will diminish with lows cooler than normal again, landing in the low to mid 40s.
Weakly Semi Supervised learning based Mixture Model With Two-Level Constraints

We propose a new weakly supervised approach for classification and clustering based on mixture models. Ourapproach integrates multi-level pairwise group and classconstraints between samples to learn the underlyinggroup structure of the data and propagate (scarce) initial labels to unlabelled data. Our algorithm assumes thenumber of classes is known but does not assume anyprior knowledge about the number of mixture components in each class. Therefore, our model : (1) allocatesmultiple mixture components to individual classes, (2)estimates automatically the number of components ofeach class, 3) propagates class labels to unlabelled datain a consistent way to predefined constraints. Experiments on several real-world and synthetic data datasetsshow the robustness and performance of our model overstate-of-the-art methods.
COVID-19 영향으로 인한 한국 이공계 대학생의 영어 온라인수업에 대한 인식 연구

This study investigated how Korean college students majoring in science and engineering perceived their general English course held online for one semester during the COVID-19 pandemic. A survey in which 166 students participated was conducted at the end of the first semester of 2020. The results were as follows. First, most of the participants preferred pre-recorded online lectures delivered by their professors. The most common reason given was the flexibility of being able to watch them repeatedly without any concerns about time and place. Second, the preferred evaluation method was to submit only assignments without testing, since students believed this could prevent cheating. Third, the drawbacks of online classes were identified as difficulties in acquiring learning strategies from professors, problems with fair evaluation, overloading assignments, and difficulties in self-motivation due to the absence of peers. Fourth, while the majority of the students had negative opinions about online classes, there were a few positive answers. Thus, this study indicates that the participants had different preferences for and abilities to adapt to online classes. Therefore, students should reflect on their needs for online classes in the future. Discussing customized online classes tailored to each individual who takes part may be one requirement.
Selecting Stakeholders for Requirements Elicitation in Agile Approach

Requirement's elicitations are the main stage in software development because the next stages or phases depends on it.Agile approach reduces cost and time into software development.The main problem in agile approach is the communications between stakeholders and developers.In this paper we will answer question: How to select right stakeholders to enhance communications between stakeholders and developers through proposed model to select stakeholders in agile approach to achieve strong communication led to enhance software development in agile approach.
LibGuides: Broadcasting: Database Help

This Library Guide will help students find the resources they need for their broadcasting research.
Prediksi Barang Keluar TB. Wijaya Bangunan Menggunakan Algoritma KNN Regression dengan RStudio

TB. Wijaya Bangunan is a business entity that has weaknesses in managing inventories. This study aims to help TB. Wijaya Bangunan in managing inventory based on existing data reduce the difference between the number of incoming goods and the number of outgoing goods. The methods used are data collection, data preparation, data selection, preprocessing, data transformation, distance calculation, calculation of predictions, evaluation, and display of prediction results using a Shiny framework. This study uses the Time Series KNN Regression algorithm to predict the number of outgoing goods based on time series data with existing data. The most predicted results came out in the 9th week period as much as 22.40%. Based on the process that has been done, it can be concluded that the evaluation value of Root Mean Square Error (RMSE) is at least 3.55, which means it has the best predictive accuracy results.
REINO UNIDO: El tratamiento de datos a raíz de la pandemia originada por el COVID-19

espanolEste articulo analiza los criterios publicados por el ICO con ocasion de los tratamientos de datos personales realizados durante la pandemia del COVID-19. Tales criterios se centran en establecer ciertas recomendaciones dirigidas a responsables, profesionales sanitarios y empleadores; la posicion de la Autoridad inglesa como ente regulador ante la emergencia sanitaria; y sus Opiniones de 17 y 24 de abril sobre la iniciativa conjunta de Apple y Google para desarrollar tecnologia de rastreo de contactos (una interfaz) y con ocasion de la generacion del subsiguiente software. EnglishThis paper analyses the criteria issued by the British Authority on data privacy, the ICO, in relation to the personal data processing in the context of the ongoing COVID-19 pandemic. Our goal is threefold: first, we will focus on these guidelines which are specifically addressed to controllers, health professionals and employers; second, it will be highlighted the official approach of the ICO on the health emergency; and finally, it will be examined the Opinions of 17th and 24th April 2020 on the joint initiative on COVID-19 contact tracing technology and the deployment of the subsequent software.
Consultation on Artificial Intelligence and Intellectual Property

This response to the UKIPO’s Call for Viewswas prepared by academics from the School of Law at the University of Essex. The document addresses different aspects of intellectual property which reflect the contributors’ areas of specialisation.
MOLECULAR DIAGNOSIS: A BOON FOR LEUKAEMIA

In hematologic malignancies, leukaemia is categorized as the unusual proliferation of the hematopoietic cells. The confirmatory diagnosis is usually made on the aspirate of the bone marrow with or without trephine biopsy by visualizing the cell morphology and the architecture of the bone marrow. Furthermore, there are additional methods that are used to further categorize the variant of leukaemia that includes flow cytometry immune phenotyping, and genetic analysis. In India also use of molecular diagnosis is increasing rapidly for the detection of leukaemia. Techniques such as FISH and PCR are very sensitive and with accurate results have gained importance for cancer diagnosis. Further with the development of next-generation sequencing, it is likely to become an even more prominent practice in cancer diagnosis. This article focuses and elaborated on the molecular diagnosis of leukaemia
Efficient Encryption mechanism for financial transactions: Avoiding data loss and tackling collisions

Security in financial transactions is a necessity. This security is provided using various encryption mechanisms such as RSA, DES, AES, and hybrid encryption mechanisms. The problem, however, arises when financial transactions take place in the banking sector. This paper proposes a unique DNA-based block chaining to avoid any collision and to provide a high-end security during financial transactions. The block chaining mechanism provides a two-way security during financial transactions along with avoading data theft, as well as data loss, is avoided. The implementation results of the proposed system are presented in terms of throughput, encryption time, and decryption time. The results obtained for the encryption and throughput, are optimized using this approach, however, encryption time still requires certain modifications. The overall results are better than Changsong et al., 2020.
PENINGKATAN HASIL BELAJAR PENGURANGAN PECAHAN BERPENYEBUT TIDAK SAMA DENGAN MODEL COOPERATIVE LEARNING TIPE NUMBERED HEAD TOGETHER DI KELAS IV SD 35 PADANG SARAI

This research is motivated by the fact that student learning outcomes are low, therefore the purpose of this study is to describe learning planning, implementation of learning, to be able to improve student learning outcomes in reducing the denominated fraction is not the same as the NHT type cooperative learning model in class IV SD 35 Padang. Sarai. This research is a classroom action research using qualitative and quantitative approaches. This research was conducted in 2 cycles. The research flow consisted of 4 stages, namely planning, implementing, observing, and reflecting. The research subjects were teachers and fourth grade students. The research instrument was in the form of information about the observation sheet on planning, implementation, and student test sheets at the end of each cycle. The results showed that the lesson plan planning in cycle I was 69.64% with sufficient criteria to be 92.85% with very good criteria in cycle II. The results of the implementation of teacher learning cycle I was 68.75%, the criteria was enough to be 90.62% with very good criteria in the second cycle. The results of the implementation of student learning cycle I was 71.89% with good criteria being 87.50% with very good criteria in cycle II. The learning outcomes of the first cycle students were 61.12 with sufficient criteria to be 81.02 with very good criteria in the second cycle. It can be concluded that the NHT type cooperative learning model of reducing the denominated fraction is not the same can improve the learning outcomes of fourth grade students of SD 35 Padang Sarai