Reviewerly/exHarmony huggingface dataset:
Data Collaboration Model for Nuclear Power Business

To unify different departments, business systems and terminal protocols in nuclear power business, data collaboration technology and distributed data storage are introduced to realize intelligent collaboration between cloud servers and edge nodes with the help of edge-cloud collaboration, which can break through the bottleneck of multi-source heterogeneous data access.We propose a secure and efficient federated learning scheme for sharing private energy data in smart grids through edge-cloud collaboration to cope with unpredictable communication delays and potential security and efficiency issues.This model sinks the cloud computing technology to the edge side, realizes the cloud-side data collaboration model, promotes the transformation of nuclear power business to a unified and intelligent advanced model.This can effectively improve the working efficiency of nuclear power business, and ensure the security of data in the collaborative mode.
Data Analysis of Middle Distance Running Strategy Based on Binary Discrete Choice Model

Through video analysis, this paper establishes the database of the pace strategy of distance runners in the 2008-2019 World Championships and the final of the Olympic Games.Combined with the econometric binary discrete selection model, this paper analyzes the differences between the self pace strategy, team strategy, the pace strategy of award-winning athletes and non award-winning athletes, and the pace strategy of male and female athletes.The results show that: 1) In the middle distance running, high-level athletes prefer to adopt the leading running strategy, whether there is team cooperation or not.2) In 1500 m, athletes with 4-2 tactics (the speed ratio of the last 400 m is the highest and the speed ratio of the second 400 m is the lowest) are more likely to win medals; but athletes who adopt 1-2 tactics (the speed ratio of the first 400 m is the highest and the speed ratio of the second 400 m is the lowest) are more likely to win the medals in 800 m; 3) In the 1500 m events, the overall pace of male athletes is more even than female athletes.
[Chinese expert consensus on the application of intensive care big data (2022)].

With the development and progress of science and technology, the diagnosis and treatment of intensive care medicine has incorporated monitoring tools and treatment methods. These multi-source monitoring data have the characteristics of large-scale, multi-heterogeneous, variably dynamic, high-speed and real-time acquisition, which are relatively underutilized in current clinical treatment. As the state of illness of critically ill patients changes rapidly, the timely processing and integration of multiple data becomes crucial. Therefore, intensive care big data has emerged in recent years. In order to promote the standardized development of intensive care big data in China, based on the relevant literature and guidelines at home and abroad, the Intensive Care Medicine Branch of China Health Information and Health Care Big Data Society organized experts to discuss the concept, significance and necessity of intensive care big data; clinical scientific issues of clinical research on intensive care big data; the establishment, standards and principles of intensive care big database; ways and methods to solve big data problems in intensive care medicine; clinical application of intensive care big data. This consensus was developed for clinicians and researchers working on big data in intensive care.随着科技的发展与进步，重症医学的诊疗融入了越来越多的监测手段与治疗方法。这些多元化的监测数据具有实时性、连续性、动态性、多源性等特点，当前临床诊疗对其利用程度相对较低。重症患者病情瞬息万变，对多元数据的及时处理与整合变得至关重要。因此，近年来重症大数据应运而生。为了更好推动重症大数据在中国的规范化发展，在借鉴国内外相关文献和指南的基础上，中国卫生信息与健康医疗大数据学会重症医学分会组织专家就本共识包括重症大数据的概念、意义与必要性；重症大数据临床研究关注的临床科学问题；重症大数据库的建立、标准与原则；重症医学大数据问题解决途径与方法；重症大数据的临床应用五个方面制定了本共识，为临床医生及致力于重症大数据的科研工作者提供参考。.
Sentiment Analysis Of Lecturer's Learning Based On Student's Criticism Data Using Naive Bayes Method

The quality of lecturers' teaching is the main key to the success of education at the University. By having lecturers who can provide good teaching, the seeds of nation-changing students can be created. To get lecturers who meet academic standards, of course, evaluation needs to be done. Therefore, Budi Luhur University always conducts questionnaires containing suggestion criticism forms that can be filled in by students. Completion of the suggestion criticism form is carried out for each group of courses at the end of the semester. Currently, the feedback data has not been used to analyze and evaluate the learning process. Therefore, in this research, sentiment analysis is carried out on the results of criticism suggestions that have been sent by students, to find out whether the criticism suggestions are positive, negative, or neutral. One of the sentiment analysis methods that can be used to solve opinion mining problems is the Naive Bayes Method. Data collected as many as 10,067 in the span of 1 semester, namely the odd semester of the 2021/2022 academic year. This suggestion criticism data is then preprocessed, and classified using the Naive Bayes method, testing is carried out using the Naive Bayes Classifier program which is made in the PHP programming language, then accuracy is obtained with the Naïve Bayes method in testing 60% - 40% getting an accuracy result of 83.92%, then in split data 70% - 30% getting an accuracy result of 83.26%, then for split data results 80% - 20% getting an accuracy result of 81.96%, obtained positive sentiment results as much as 2484, then negative sentiment as much as 152, and neutral sentiment as much as 267. This research aims to get sentiment results which are then expected to be used as a reference to improve the quality of teaching lecturers at the university and further evaluation.
Development of Problem-Based Learning (PBL) Based Interactive Media in Basic Computer and Network Subjects

This research is motivated by the limited learning media that students can use wherever they are, as well as limited learner time in class causing low student learning outcomes. The purpose of this study is to develop an interactive media based on problem-based learning at SMK Negeri 1 Bungo that is valid, practical and effective. This media is designed to assist students in learning by utilizing information and communication technology, so that learning can be done in class directly or outside the classroom independently without having to be tied to time and place. Design This research uses four-D whose steps consist of define, design, develop, and disseminate . This type of data is primary data where the data is obtained directly from the source, namely schools, teachers, experts and students. The data analysis technique used is a descriptive analysis technique, namely by describing the validity, practicality and effectiveness of the learning media developed. Based on the findings of 0.83 media validity values with valid categories, and 0.85 material validity. The media developed is practical with a practicality value from direct observation of 89.86 from the aspect of convenience, 86.28 from the aspect of time, and 87.46 from the aspect of use, from the teacher's response of 89.55% and the student response of 87.17%, and is effective in improving student understanding obtained from the calculation of the gain score which was obtained by 0.69 with a moderate category. So that it can be implied that android-based interactive learning media is valid, practical, and effective to be used as a medium for basic computer and network learning.
Development of Web-Based Flood Detection System and Flood Control Using Nodemcu

Internet of Things is a concept and method for remote control, monitoring, data transmission, and various other tasks. For some areas in Indonesia, flooding may be unavoidable, but this can be done to minimize the number of disaster losses by providing early warnings if there are indications that a flood will occur. This study will create an internet of things system to monitor the river’s water level and the sluice gate control system. The manufacture of this system will be made in the form of a prototype, to detect the water level will use ultrasonic sensors, and to drive the floodgates in this system will use a stepper motor. In this system, to determine the speed of movement of the openings of the sluice gate is determined based on the water level obtained as input data and calculated using fuzzy logic algorithms. The fuzzy logic algorithm here is one of the methods used in the field of control system studies. Testing on the fuzzy algorithm the author uses the fuzzy logic toolbox in the MATLAB application as a comparison to the fuzzy algorithm made on the prototype, from the results of testing the flood monitoring system runs perfectly by providing the appropriate output results and the average error of controlling the floodgates is 0.58%.
Which is More Effective in Teaching Energy Transformations: Technology-Based or Inquiry-Based Science Teaching?

This research aimed to compare the short and long-term effects of technology-supported and inquiry-based teaching prepared within the scope of energy transformation on students’ academic achievement. It was designed as an exploratory action research case study. The research group consisted of forty-three students studying at the seventh grade (between thirteen-fourteen ages) of a public middle school in Turkey during the fall semester of the 2017 year. One of the classes with a similar academic background in the school where the researcher also worked as a science teacher was assigned as the experimental group and the other as the control group. The activities in the experimental group were carried out in a technology-supported manner using PhET simulations supported by also worksheets, while the control group was taught based on inquiry-based hands-on laboratory activities by worksheets. The data were collected through an achievement test consisting of open-ended questions and scoring with a rubric. The test was implemented twice, after the interventions, and in the following sixth month for both groups. Normally distributed data were compared with interdependent and paired-samples t-tests. The results showed that although the achievement scores for the technology-supported teaching group were significantly higher in the post test, no difference between the scores at the end of the sixth months, and significant information losses were experienced in both groups, with the most technology-supported science teaching.
Cryptocurrencies’ Past, Present and Future

The growth of Cryptocurrency has been considered as a future legitimate tender of currency with great possibilities, and it has contributed to lots of different fronts like investments and forms of trading, on the contrary, has caused several troubles.As virtual currencies are developing rapidly, people should comprehend basic concepts and their global influences of them.Our research paper has included the histories and functions with rules and regulations comprehensively.Our goal is to make sure that the audience understands cryptocurrency by the details and examples given and explore further diversification of critical thinking on the topic.We have retrieved lots of resources from articles, websites, and statistical data and discussed insightful analysis to make sure the accuracy is guaranteed.Our study would be beneficial to people with zero understanding of the concept of cryptocurrency.
How Blockchain Can Empower the Growth in Green Finance

In 2021, the climate action roadmap took the first step towards ensuring further tokenization of the security of green finance assets.This means the sensitive data will be replaced by non-sensitive equivalents and data security can be ensured.Through the application of tokenization, there is the automation of trading activities and further deployment of climate awareness actions that are funded by green finance.Green finance refers to credit facilities that are meant to assure the sustainability and protection of the environment.In the blockchain system, the technology promotes the tracking of the financial resources which plays a role in ensuring that once the funds have been allocated, they are utilized most efficiently.This article will explore the possibility of applying blockchain technology to promote sustainable development and how it will empower green finance.It can be concluded that blockchain technology fosters the authenticity and verification of green bonds.
Construction and Research of Short-Term Training Smart Classroom

Most of the current construction models of domestic mainstream smart classrooms are for full-time ordinary colleges and universities, which do not match our short-term technical skills training needs.To solve this problem, this paper summarizes three mainstream models of current domestic smart classrooms, compares and analyzes the differences between our college and other general colleges and universities in training and teaching, designs and builds smart classrooms that meet our own training and teaching needs according to our actual needs.
A Bibliometric Analysis of Digital Competency Studies in Rural Areas

Digital competency studies in rural areas have developed rapidly over the past few years, especially since the COVID-19 Pandemic.However, systematic literature reviews in exploring the development of knowledge bases about digital competence in rural areas are still limited.This research aims to overview digital competency studies in rural areas by applying Scopus data-based bibliometric analysis and visual analysis with VOSviewer.The results showed that this Study first appeared in 2011 and reached its peak in 2021.The domain of knowledge is the subject area of social science and the research topics are "elearning"; "covid-19"; "online learning"; "higher education"; "rural education"; and "rural residents".This research found the development of the knowledge base of digital competency studies in rural areas both conceptually and empirically.This research contributes to developing future conceptual studies (the development concepts and models of digital competence) and empirical focus studies (digital innovation, technology adoption; digital learning; and others), and locus studies in Developing Countries; High Income, Lower Middle Income, and Low-Income Countries in various regions
The Machine Translation Model

Machine Translation was invented in the late-20 th century, when the first IBM model could automatically translate Russian sentences into English.Proceeding to the 21 st century, linguists have invented new types of Machine Translation models and improved on them by altering and adding parts.Of all the various types of Machine Translation models, this paper will mainly focus on Statistical Machine Translation models, which put into play the statistical data with their calculation of the probabilities of the words and phrases, and Neural Machine Translation models, which are built by the stacking and connecting of neural layers through encoders and decoders, by comparing the benefits and flaws of the types within the specific Machine Translation models.A specific translation will be mentioned using the Neural Machine Translation models, revealing the flaws within its translation.From the flaws of Neural Machine Translation models, this paper will also examine attempts to improve them by solving existing problems.This paper will build a basic understanding of machine translation models and possibly inspire future experiments and extensions to improve the translation models both mentioned and not mentioned in this paper.
Critical Thinking Abilities and Korean Reading Skills: To what extent do they correlate?

According to the PISA published in 2018, Indonesia ranks third lowest in terms of reading skills, indicating that reading skills among Indonesian learners are still quite inadequate.This is perhaps due to the fact that critical thinking abilities are still lacking in Indonesia as well.Previous literature has highlighted the interplay between reading skills and critical thinking abilities.Hence, this study aims to determine the extent to which critical thinking abilities have a relationship with learners' reading skills of Korean texts.A quantitative approach with a correlation design was used in this study.Sixty-two undergraduate students majoring in Korean language education were involved.Ennis' Theory (as cited in Samsudin & Hardini, 2019) was used to measure critical thinking skills, while Tampubolon's Theory was used to measure reading skills.The instruments used in this study included a critical thinking questionnaire and a reading test.The results showed that the critical thinking abilities of the students were categorized as high.Meanwhile, the students exhibited fairly good reading skills.Furthermore, the correlation between the two variables was found to be not strong enough, with a correlation coefficient of 0.371.The effect of critical thinking abilities on reading skills is 13.7%, with a coefficient of determination (R square) of 0.137.Based on the results, while critical thinking abilities were high, reading skills were not strong enough.It can be concluded that there is a weak correlation between the student's critical thinking abilities and their skills in reading Korean texts.
Analysis of Bitcoin and Alternative Assets Based on VAR Model

This paper is based on April 2020 to July 2020 bitcoin price and s & p real assets index data, using the VAR model for dynamic identification, empirical analysis results show that the currency price is s & p real assets index, but s & p real assets index is not the currency price granger.At the same time, as can be seen from the pulse response chart, when the price of bitcoin is impacted by one unit, the S & P physical assets index will fluctuate greatly, close to 0 in stage 5, indicating that the price of bitcoin has an impact on the S & P physical assets index.
Self-Learning of Intonation for Declarative Sentences and Interrogative Sentences in Japanese

This study aims to identify the independent learning processes used by Japanese language learners to enhance sentence intonation.However, different intonations are required to express different intentions, such as declarative and interrogative sentences.The experiment of pronouncing sentences in conversational form has been done before, but too much data has been challenging to analyze using the OJAD (Online Japanese Accent Dictionary) website.The following three outcomes have been discovered through experiments using three approaches.First, without the help of audio examples and visualization of intonation, students can only pronounce sentences with flat intonation in both sentences from the pronunciation experiment per sentence for declarative sentences and invitation sentences.Second, there was an improvement in intonation in the two sentences due to the shadowing technique experiment, but it did not last long.Third, the experiment of adding information to visualize the intonation curve after the audio has played has shown that it is easier for students to pronounce sentences with the correct intonation.Furthermore, the correct intonation can be mastered by students relatively stable.The results of this study indicate that Japanese textbooks or learning media could also include audio and a visualization of the intonation curve so that students can pronounce Japanese sentences correctly, depending on their meaning.
Instructional Design of Innovation and Entrepreneurship Education for Foreign Language Learners

In the era of artificial intelligence and the construction of "new liberal arts", the traditional foreign language classroom teaching is insufficient in many aspects.This instructional design attempts to combine innovation and entrepreneurship education with the language service industry, aimed at improving the construction of innovative curriculum system and enrich the development of curriculum materials and content as well.With the help of diversified teaching materials, this initial trial will dig out the international advanced and excellent innovative thinking and innovative entrepreneurial practice cases related to language service, build a case base of foreign language service innovation and entrepreneurial practice, thereby developing a first-class curriculum system.
The Effect of YouTube Video Learning Media on the Students’ Basic Japanese Listening Ability

The background of this study is the lack of learning media and inappropriate learning methods (still using the lecture method) in learning basic Japanese in one of the public high schools in the East Bandung area.The purpose of this study is to determine the effect of using YouTube videos on students' listening skills in capturing basic Japanese learning materials.The research method used was pre-experimental with One-Group Pre-test and Post-test.The subjects of this study were determined by random sampling technique as many as 28 people who attended the cross-interest class of Japanese language class.Data were gathered from the pre-test and post-test and an online questionnaire via a google form.The results showed that the use of YouTube videos as a learning medium had an effect on improving students' listening skills in Japanese.The results were based on the increase in the average pre-test score of 74.82 and post-test of 80.71.Then, the hypothesis testing presented that the t-observed value is greater than the t-table at the 5% significant level (4.25>2.05)and the 1% significant level (4.25>2.77).
A Corpus Linguistic Analysis of the Words of Aku and Saya in Indonesian Children Essays

In writing essays, children often have difficulty putting together words to express their thoughts, even for simple themes such as self-introduction and school.A hundred children aged 6 -10 years from various cities in Indonesia have filled out a questionnaire and composed four short essays with the theme of self-introduction.They are directed to the theme and free to write without rules and restrictions.The research aims at figuring out the word patterns in the Indonesian children's essays through linguistic corpus analysis and identifying the thoughts and desires of Indonesian children conceived in the essays.The four hundred Indonesian children's essays have been processed into the Indonesian Children's Story Corpus consisting of 7,815 tokens and 1,650-word types.Based on the frequency analysis, it has been found that the domination of the used word is aku as 5,6% compared to saya merely used as 3,6% of all over the tokens.Based on the collocation analysis, aku in the children's essays tended to use three expressions, namely (1) 11% preference, (2) 7% ownership, and (3) 6% desire of the 440 hits.Meanwhile, saya used to express (1) 25% desire, (2) 19% name, and (3) 18% negative sentences followed by the word of tidak of the 77 hits.The concordance and cluster analyses of the corpus identified three sub-essay topics: selves, families, and hobbies.The essays revealed that most Indonesian children experienced bullying and learning difficulties in their schools.They also necessarily yearned for family relationships and enjoyed quality time with parents.