Reviewerly/exHarmony huggingface dataset:
Research on Blended Teaching Model Applied in College English Grammar Teaching from the Perspective of TDT Approach

Grammar learning is known for one of the critical elements in vocational college English, especially in College English Test level B (CETB).Yet traditional college English grammar teaching is also known for its low efficiency and unsatisfactory learning experience as well as passive learning atmosphere.Due to the outbreak of Covid-19, the shift to distant learning during the pandemic brought about a challenge but also an opportunity for educators.In light of the spirit of College English Reformation, how to maintain and optimize the learning experience with support of information communication technology (ICT) becomes an increasingly urgent question.Guided by blended approach, based on grounded theory, this study is to explore the impact of blended approach on students.Based on the results of class observation, questionnaires to 10 English teachers and 962 students in Guangzhou Donghua Vocational College (GDVC), the study identifies prominent problems emerged in the college English grammar teaching and offers constructive solutions with Discover, Learn, Practice, Collaborate and Assess (DLPCA) blended model, which promotes the learning outcome, enriches the learning experience and lightens the learning atmosphere.This research updates the application of ICT in college English grammar teaching and provides a different perspective to blended language teaching under the outbreak of Covid-19 pandemic context.
The Jargons Used by Tenganan Village People in Gringsing Weaving

Language is a system that mediates and types of vocalizations used by a community to communicate to understand each other. Language also has many varieties. This diversity is influenced by many factors, such as being influenced by a known place by age, gender, social status, and type of work. One variety of language is jargon. This study aims to analyze the jargon of meaning used by the people of Tenganan Village in weaving grinning. The design of this research is a qualitative descriptive design. The method used is observation and interviews. The observation method was carried out to observe the state of Tenganan village. The interview method was conducted to interview two weavers in Tenganan village to provide information regarding the jargon they use. The results showed that Tenganan Village people used fifty-six jargon to bring weaving. Based on fifty-six jargon, they are categorized into four types. The first type is jargon based on yarn processing, consisting of twenty jargon. The second type is jargon based on the weaving process, which finds three jargon. The third type is jargon based on naming tools and materials that find fifteen jargon. The fourth type is jargon based on the naming of eighteen motifs. Each jargon has a meaning that is used to facilitate communication between weavers in producing grinding weaving.
Evaluating State-of-the-Art Visual Question Answering Models Ability to Answer Complex Counting Questions

Visual Question Answering (VQA) is a relatively newer area of computer science involving computer vision, natural language processing, and deep learning. It has the ability to answer questions (currently in English) related to particular images that it is shown. Since the original VQA dataset was made publicly available in 2014, we’ve seen datasets such as the OK-VQA, Visual7W, and CLEVR that have all explored new concepts, various algorithms exceeding previous benchmarks, and methods to evaluate these models. However, to the best of my research, I have not seen any math or word problems being integrated into any of the VQA datasets. In this paper, I incorporate the four basic mathematical operations into the ‘counting’ questions of the CLEVR dataset and compare how different models fair against this modified dataset of 100,00 images and 2.4 million questions. The models we used achieved circa 50% validation accuracy within 4 epochs showing room for improvement. If VQA models can assimilate mathematics into its question understanding ability, then this can open new pathways for the future.
Sistem Pendukung Keputusan Menggunakan Metode Simple Additive Weighting (SAW) Untuk Program Bantuan Langsung Tunai Pasca Covid-19 Pada Desa Lais

The village Fund Diret Cah Assistance (BLT-DD) is a from of financial assistance to poor families in the village sourced from the village found so that it is expected to reduce the impact COVID-19 pandemic. The village found BLT in Lais village itself does not escape several obstacles, such as the lack of community evaluation to so that delivery of the village found BLT is not on target which usually does not refer to the criteria for poor families. So the problem faced is how to determine the recipients of the village fund BLT so that is more targeted and accepted by the people who need it more. The criteria used as a reference in making decisions. This SAW calculation will later be implemented into a web using MySQL.
Based on SM - 9 Cloud Edge System Information Security Transmission

&lt;p&gt;In the past few years, cloud edge system from conception to gradually improve, develop to today has become a mature side of cloud model. Compared with simple cloud computing, cloud edge system has lower network latency and is suitable for application scenarios with higher real-time requirements. Although it can make up for some shortcomings of cloud computing, it also faces many problems in practical application, how to realize the safe transmission of information in the open network environment is one of the difficulties. Since the data transmission process between the edge and the cloud exists in the form of plaintext transmission, this allows attackers to easily disrupt normal data interactions. It is an important research point to ensure the stable operation of the cloud edge system while maximizing the security of communication. To this end, the following work has been done in the direction of secure data transmission in this paper：1. Analyzed the potential risks of the cloud edge system communication network from the per-spective of data source security and data transmission security. 2. Summarizes the requirements and limitations of secure communication, introduces a light-weight SM9 encryption algorithm with low implementation cost and low resource consumption. And compared with other encryption algorithms. 3. Provide algorithmic foundation for establish a framework for secure transmission of light-weight data and achieve data confidentiality protection. Provides a viable reference for secure data transmission in the cloud edge system.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
PENERAPAN FUZZY MULTIPLE ATTRIBUTE DECISION MAKING DALAM PEMILIHAN TEMPAT INDEKOS

Boarding house is an alternative choice for students to fulfill their need for a place to live. The variety of boarding houses, along with their respective advantages and disadvantages, becomes a challenge for students in determining the boarding house that suits their desires and needs. An in-depth evaluation is needed by comparing boarding houses based on certain criteria. In this study will be known the best boarding house based on four assessment criteria, price, facility, location, and room area. This research was conducted in Mathematics Department, Udayana University, using the combination of Fuzzy Analytic Hierarchy Process (FAHP) and Simple Additive Weighting (SAW) method. Sample in this study amounted to 118 respondents, with purposive sampling was the sampling technique. FAHP method is used to obtain the weight of each criterion, with the use of triangular fuzzy numbers for pairwise comparison scale of FAHP, and the use of the extent analysis method for the synthetic extent value of the pairwise comparison. SAW method is used for the ranking process of 75 boarding houses alternative. The result showed that the weight of each criterion being 32% (price), 23% (facility), 40% (location), and 5% (room area), obtained A46 as the best boarding houses with a percentage gain value of 71%.
THE SITUATION OF DIGITALIZATION OF INCLUSIVE EDUCATION AND THE PROBLEMS IN ARMENIA

There is no doubt to state that the 21st century is the century of digital information and endless technological possibilities. A century when thousands of new high-tech mechanisms are being created at an incredible speed, the main goal of which is the most comfortable and convenient life for people. Digital technologies have filled almost all spheres of human life and activity. Today, a large number of countries in the world have a successful experience in the introduction and use of digital technologies in education. Undoubtedly, they play a special and important role in the education of people with disabilities, the disabled and people with special needs.&#x0D; The exercise by persons with disabilities of the right to education, a fundamental human right, is fraught with several challenges. The lack of necessary conditions for full participation in the educational process that meet the individual needs and abilities of students, as well as the use of insufficiently effective teaching methods, leads to the fact that the youngest people with disabilities cannot get a good education and profession. The inaccessibility of education is one of the main reasons preventing the full inclusion of disabled people in the life of modern society.&#x0D; Results of the study indicate that the correct use of the capabilities of modern digital technologies by the teacher will contribute to effective work to overcome violations of psychophysical development.
Analisa Implementasi Metode Fuzzy Time Series Jasim pada Prediksi Perkembangan COVID-19 di Indonesia

The pandemic of COVID-19 that has been going on since March 2020 until now has weakened many sectors in many countries an Indonesia as well. In Indonesia, more than 9,000 people have died because of this pandemic. In the first week, 56 cases of COVID-19 were recorded and the cases continued to increase to more than 2,000 cases per week so that the increasing number of cases could result in a lack of service provision and facilities for medical. This study aims to determine the forecasting scheme and how the development of COVID-19 cases that occur in Indonesia. Fuzzy Time Series Jasim method that is applied to find out how to do forecasts by managing previous data. This method uses the determination of the width of the interval, the formation of a set from historical data and using of the average based length method. In this method also used grouping and data relations that have been fuzzified. From the method that has been used, it can be seen that the results obtained from the Fuzzy Time Series Jasim method are obtained from the accuracy rate of the accuracy error using MAD of 286. And the error magnitude of the forecasting results with the actual data using MAPE is 2.43%. Where it can be concluded that the use of Fuzzy Time Series Jasim method in this study provides good forecasting results
DBTechVoc: A POS-tagged Vocabulary of Tokens and Lemmata of the Database Technical Domain

Vocabulary of a language has a great role to play in the Natural Language Processing (NLP) applications.Such applications make use of lists like stop-word list, general service list, academic word list and technical domain word list.The technical domain word list differs with each domain and though it is available for fields like medicine, biology, computer science, physics and law, the domain of databases in specific has still not been explored.For the first time, we propose technical vocabulary comprising of POS-tagged unigram tokens and POStagged unigram lemmata for the technical domain of databases.This vocabulary has been called DBTechVoc with a coined term.Notably, the multi-word phrases have also been considered, without their further tokenization, to maintain their semantics.The empirical results, with more than 1000 high quality research papers collected over a period of 45 years from 1976 to 2021, prove that the technical general word list of the domain of computer science is different from the technical and specific word list of the domain of databases.The overlap was found to be less than 2%.The research titles use 6% Rainbow stop words while 13% of the words used for the research paper titles are inflectional forms of lemmata.
Mapping Study on Traceability Between BPMN Models and Source Code

Considering the importance of traceability in software development and that new development approaches have emerged to adapt to the dynamic and innovative market environment, we identified the need to examine traceability in business process-driven software development.Specifically, we are interested in traceability when using the BPMN language for modelling the business processes, which are then executed by integrating different software artifacts deployed from a source code.The purpose of this research is to review traceability from BPMN models to source code literature to describe the progress of this area by identifying four research questions regarding approaches, technologies, techniques, traced artifacts, and tools.In the search stage, two hundred eighty-six primary studies were obtained through a systematic mapping study.After two screenings and applying inclusion/exclusion criteria, we obtained 24 relevant papers.Strictly within the framework of these works, we answered our four research questions: we found MDE as the main approach, SOA as the main technology, graphs use as an emerging technique for managing versioning and change impact analysis, and extension of existing tools for providing traceability management.As for traced artifacts, variety is commonplace.Therefore, we consider it prudent to classify traced artifacts as high-level, low-level, and BPMN-level models.Additionally, by classifying the papers with the SwEBoK, we found that issues, such as cost estimation and traceability in testing, are topics with little research and almost no development.
Strategy Behind the Business Success of Amazon: A Case Study

The success of any business is dependent on the strategy/strategies that are deployed in the operation of such a business. Strategy is a critical determinant of business success. Amazon.com is one of the most successful brands in the world; the company has been in business for over two decades and has recorded an unprecedented business success in human history. In this research work, the key strategy behind the success of Amazon will be extensively investigated. Given the unusual success rate of this organization over the past two decades and their high prospect for greater success, it becomes imperative to investigate the strategy behind this tremendous business success in-order to unveil and/or re-emphasize an established business principle that may not be obvious to many businesses. The purpose of this research is mainly to identify these strategies and extend further emphasis on the viability of such business strategies in order to strengthen existing research on the subject matter. Using the waterfall methodology, the history of the company will be reviewed, the financial reports, company memos, press releases, etc., will be analysed. The evolvement of the business from its inception as an online book retailer to its diversification into numerous other lines of businesses will be reviewed and analysed.
Money-Prospects of Cryptocurrencies- A Bibliometric Review

The status of money-prospects of cryptocurrencies in conventional and shari’ah literature remains hotly debated and largely indecisive. We apply the bibliometric approach to review the literature on the money-prospects of cryptocurrencies. We select 264 articles published during 2011-2021 through systematic screening from WoS to explore the influential and intellectual aspects of literature. Bibliometric citation analysis is conducted to present influential research categories, leading authors, top articles, prominent countries, and major journals within sample selection. We also highlight a trend of annual scientific production to show sustained growth in the topic. Further, keyword analysis and bibliometric coupling analysis are applied to generate networks to highlight intellectual aspects of money-prospects of cryptocurrencies. We use networks of emerging themes and main clusters to conduct content analysis further. We include and review studies which discuss money-prospects of cryptocurrencies in light of shari’ah precepts in relevant cluster. We also identify cluster-wise potential future research areas. The study extend help to researchers in understanding evolution, dimensions, and emerging themes regarding money-prospects of cryptocurrencies.
All in the Family. A Transformational-Genealogical Theory of Musical Contour Relations

Although the relatively recent proliferation of research into musical contour theory has indeed yielded a plethora of vital analytical and methodological insights, a crucial phenomenological problem therein remains to be fully addressed: its implicit reliance upon what Michael Friedmann (A Methodology for the Discussion of Contour, 1985) has described as a “nonsynchronous” analytical perspective, whereby a contour’s constituent elements, though ordered in time, are in fact interpreted as fully and simultaneously present entities. The musical processes that these contours describe (melodies, rhythms, etc.), however, obviously do not present themselves in this manner – their constituent elements occur in direct succession, not simultaneously. Such contours, therefore, cannot be regarded as truly autonomous musical objects; rather, they represent but a single link – albeit, the crucial, culminating link – in a cumulative transformational chain of contours. The contour ⟨1023⟩, for instance, begins as the singleton ⟨0⟩ and evolves successively into ⟨10⟩ (its first two elements) and ⟨102⟩ (its first three elements) before coming to exist as such. This article develops a system of contour relations that is fully contingent upon this implicit transformational process. First, a sexually “reproductive” model for contour generation is employed to construct a universal contour “family tree”, which provides the foundation for relating contours based on their common “ancestry”. After briefly outlining the fundamental mechanics involved in these kinds of relations, this transformational-genealogical methodology is implemented in order to shed some light on a crucial motivic passage in the first of Alban Berg’s Altenberg Lieder op. 4, thereby illustrating both the efficacy and utility of the approach.
THE ROLE OF CONTROL PROCESSES IN REGULATING SELF- EFFICACY IN TASKS WITH HIGH PREDICTABILITY

The study's objective is to describe how cognitive control mechanisms influence performance in different tasks. We believe that popular resource models have disadvantages when explaining one's effectiveness in a particular task. We argue that the limitations on one's performance happen not because of limited cognitive resources but rather due to logically based restrictions. One of the restrictions is rooted in one's need for consistency in their representations of the world and themselves. We infer that having a specific expectation about self-efficacy in a particular task dramatically influences the outcome: cognitive control mechanisms finetune one's performance to agree with one's expectations on the efficiency of said performance. In the study, we tested how regularities in stimuli influence one's performance. In the experiment (23 subjects), we used the Musical Stroop test. For part of the trials, we used melodies as regularities, while in other trials, we presented fillers - random sets of notes. The results show that melodies reduce interference and have a faster response time than in the filler condition. We argue that it is due to the role of cognitive control mechanisms that maintain self-efficacy. We discuss the implication of the proposed approach.
Confirmation of Indonesian EFL Students' Achievement and Views in Translation through Mobile-Assisted Language Learning

MALL in translation is increasingly prevalent among Indonesian EFL students due to ICT development and practical usage in teaching and learning. In addressing this issue, this research assessed the students' success and understanding by using MALL to translate a coronavirus text. There are four issues to consider: 1) Is MALL helpful in improving students' translation abilities? 2) How do students see MALL translate a text from English to Indonesian? 3) How does MALL help them cope with language competency when translating a text from English to Indonesian? 4) What challenges do students have while translating a text from English to Indonesian using MALL? This research was performed using qualitative and quantitative methods (Mix Methods). The research possessed 85 undergraduate students from East Jakarta and South Sulawesi as the respondents. Data was amassed through an online survey, a semi-structured interview, and document analysis. After attending the MALL online learning session, a paired-sample t-test indicated a significantly different score across the students. According to the survey, interview, and document analysis findings, they had a positive attitude about MALL for translation. They had acquired powerful support in terms of word order, word choice, and sentence structure. Nonetheless, most of them agreed that the technical issue and the lack of assistance were the most significant obstacles to successfully operating the MALL for translation.
Knowledge Level of Students About Traffic at Public Junior High School (SMP Negeri) 3 Candi Sidoarjo

Traffic education is very important for students since elementary school and junior high school (SMP) because traffic accidents involving students are getting higher every year.One of the causes of traffic accidents is the lack of knowledge that drivers have about traffic.The purpose of this study was to describe the level of knowledge of students about traffic at SMP Negeri 3 Candi Sidoarjo.This research is quantitative.The research population is all students at SMP Negeri 3 Candi Sidoarjo for the 2020/2021 academic year, totaling 786 students.The sample used was 90 students in grades VII, VIII, and IX.The sampling technique used a disproportionate stratified sampling technique.Data collection techniques using a questionnaire.The results showed that the level of knowledge of students about traffic at SMP Negeri 3 Candi Sidoarjo was in the high category as many as 47 students, 43 students in the medium category, and no students in the low category.So, the level of knowledge of students about traffic at SMP Negeri 3 Candi Sidoarjo is concluded in the high category.This proves that the implementation of traffic education has been carried out well in terms of the level of knowledge achieved by students.