Reviewerly/exHarmony huggingface dataset:
Analysis of Influencing Factors of Geological Disaster Risk Based on Big Data

Geological disaster risk is affected by many internal and external factors.It is very necessary to understand the influence relationship of these internal and external factors for the prevention and control of geological disasters.This paper combines Apriori correlation analysis method with data statistical analysis method to analyze the internal and external incentives of geological disaster risk, so as to solve the problems of limited analysis data, less disaster samples and narrow adaptability of analysis conclusions in the existing research.This subject collects the data related to geological disasters in China in recent ten years as analysis samples for big data analysis experiments.The analysis data not only includes the elevation, slope, slope direction, terrain type, stratum lithology, geological structure, surface coverage type, vegetation coverage and other internal factors of geological disaster areas, but also covers the rainfall, rainfall and vegetation in geological disaster areas External factors such as surface temperature and soil humidity.The results show that geological disaster risk is related to internal and external factors, but their correlation and influence are different, which has certain application significance for geological disaster prevention and control.
Research on Data-Driven Text Adaptation of ESP Course Based on “ENG-EDitor” Tool

The promotion of big data promotes the development of applied linguistics, and the cultivation of reading ability in foreign language teaching has always been the focus of research.In the process of learning ESP Courses, learners need to be provided with texts of appropriate difficulty for extended reading, which often requires the selection and adaptation of the original content of the text, that is, the regulation of text difficulty.Based on the situation of foreign language teaching and research in China, the study illustrates that text adaptation research is shifting towards the "data driven" stage by using the tool of "Eng-Editor".Using "Wisdom Learning" as the theme, the research conducts a questionnaire survey of students form four aspects, which are vocabulary, grammar, difficulty, exercises, personal attitudes.Questionnaire survey and statistics are conducted with SPSS at the later stage to investigate the significance of the study and provide operational suggestions for future research.
A Profound Analysis on the Image of “New Adam” in American Literature with Big Data Text Mining and Processing Technology Based on OCR

In the era of big data, with the development and in-depth application of data mining and retrieval, image retrieval, cloud storage and computing, digital text research technology has begun to be applied in literature research.By analyzing and discussing the basic characteristics of big data, this paper reveals the evolution of literary studies in the era of big data, and makes a case study of the image of "New Adam" in American literature.With the development and application of OCR technology, the data mining ability of text information becomes stronger, so we can process and analyze more texts online.This makes our literature research online and digital.In methodology, with the help of image poetic theory and big data technology, literature retrieval, close reading, comparative analysis and cultural research methods are used in the paper.Based on big data mining and comparative analysis, to deeply and comprehensively analyze the American ethnic consciousness and national spirit by analyzing the archetype of the "New Adam" in American literature, its development track, the information and expression in the image as well as the contemporary consciousness as the global epidemic prevention struggle against COVID-19 has aroused deep thinking among scholars on the collective consciousness and national spirit of all ethnic groups.According to the data mining of literary texts by OCR, we can investigate the historical evolution and structural evolution of the prototype of "New Adam" by using SPSS for attribution analysis.The prototype of "New Adam", which originated from a pattern of the relationship between man and God and between man and man in American social life, emerged in American literature in the 19 th century, changed in the first half of the 20 th century, and gradually fragmented in the second half of the 20 th century, involving in process of evolution as the result of the interaction between internal and external factors.The image of "New Adam" is always charming because of its universal beneficial prototype, intensive and novel information, perfect and full expression and the penetration in the times consciousness.
Research on an Intelligent and Intrinsic Security Data Circulation System Based on the Infrastructural Enablers for Web 3.0

With the development of digital technologies, data security is under various risks, which impedes the data circulation to release the data value.Fortunately, the development of Web 3.0 provides a novel paradigm to solve this problem.With recent advances, Web 3.0 is considered a ubiquitous and decentralized value-sharing network to drastically revolutionize our life and society.By analyzing the characteristics of data circulation and based on the key categories of infrastructural enablers for Web 3.0, our paper proposes an intelligent and intrinsic security data circulation system for the next-generation internet.The proposed system enhances the trust in data interaction and stimulates the deep data circulation from six aspects, including hierarchical management, intelligent circulation, application support, identity management, security protection, and evaluation and supervision, which also provides a new way to cope with the new challenges in the Web 3.0 data ecosystem.
The Path and Problem of Big Data Intervening Non-legacy Protection

With the development of information technology, all industries have been inseparable from the support of big data.Big data plays an important role in information transmission, screening, storage and so on.At the same time, the protection of intangible cultural heritage has been attached great importance to by China.The development of big data brings a new proposition of the times for nonlegacy protection, which is worth thinking deeply.This paper clearly expounds big data and non-legacy protection, and analyzes the aspects that big data can play a role in non-legacy protection.At the same time, this paper points out the existing problems and gives operational solutions.
Design and Application of Digital Network Education Platform for Economic Management Major in Colleges and Universities Based on PHP Language

First of all, this paper expounds the importance of teaching reform of economic management major in colleges and universities from the perspective of "four new" construction, then analyzes the current teaching situation of economic management major in colleges and universities, and then puts forward corresponding solutions according to the current situation.We developed a digital network education platform for economic major based on B/S architecture and MVC design pattern, and applied PHP language and Laravel framework to build the overall architecture of the system.Combined with the course content and specialty particularity of economic management major, we built specific functional modules, and the functions of storing, adding, deleting and checking system data were handled and operated by MySQL data.By using online teaching system as a supplementary teaching way outside the classroom of economic management major, it can improve the teaching quality of economic management major and students' mastery of economic management courses, thus achieving the effect of optimizing the teaching mode of economic management major.
Application of Big Data and VR Technology in the Treatment of Acrophobia

Under the background of the Internet, the application fields of big data processing technology, artificial intelligence technology and Internet of things technology are becoming more and more extensive.Creating a new form of VRET has become an inevitable trend in the treatment of acrophobia in the future.Through big data and VR online technology, therapists can adjust the exposure level and time in time according to the situation of patients, so as to effectively reduce the anxiety of patients.This paper discusses the application status of big data and virtual reality technology in the treatment of acrophobia, including scene layout, visual immersion, listening and tactile and other multi sensory common perception, and further expands in detail.Finally, it points out the limitations of virtual reality technology in the treatment and the prospect of future treatment.The relevant literature in recent years was searched through the literature method, the exposure experiment was carried out in combination with big data and VR technology, and the results were counted by mathematical statistics.The application of big data and virtual reality technology has great advantages over traditional technology in the treatment of acrophobia, which can greatly reduce patients' pain and anxiety.At the same time, there are also deficiencies at this stage, such as how to break the technical restrictions and integrate different individual differences.
Construction of a Multi-dimensional Evaluation Platform for College English Writing Based on Big Data

With the development of modern data information technology, it has been widely used in various industries and many fields of the whole society.Education informationization, as the focus of China's current education reform, has been gradually carried out throughout the country.And multidimensional evaluation platform for college English writing based on big data is the data information technology combined with the practical teaching, a new way to platform can improve the quality of evaluation of English writing, improve students' English writing ability and interest in learning, can also promote the combination of college English teaching and knowledge application practice, to achieve "by writing to learn, to learn to write in combination with" purpose.Relying on the multidimensional evaluation platform of English writing can cultivate students' ability of independent learning and consciousness of lifelong learning.
Design of Multimodal English Vocabulary Acquisition Mode Based on Cloud Computing Technology

In view of the current mono and inflexible English vocabulary teaching mode, this paper proposes a multi-modal vocabulary acquisition mode based on cloud computing platform.This mode adopts B/S-based multi-layer distributed system design, and computing resources and storage space of cloud computing platform is devised as teaching environment while multi-modality as teaching means.This brand-new vocabulary acquisition mode is able to achieve mobile learning based on cloud computing, cloud sharing of learning resources and other functions, thus making vocabulary acquisition more convenient, efficient and faster.The use of multi-modal teaching methods is capable of activating vocabulary storage of students and improving their vocabulary learning experience, hence their English comprehensive ability is promoted effectively.The test results in this mode show that vocabulary acquisition effect in multi-modal mode based on cloud computing platform is better than that in traditional vocabulary acquisition mode.
Design and Development of Vehicle Inspection Routine Virtual Reality Application

This paper proposes a Vehicle Inspection Routine Virtual Reality simulation application that teaches students how to perform vehicle inspections, commonly known as "Rutin Pemeriksaan Kenderaan", which is a required module before obtaining a Malaysian driver's license.The module's goal is to ensure that the vehicle is safe on the road, and students currently learn the module in person and then review it through videos or books.The goal of producing the VR learning application is to give students a new approach to learning the vehicle inspection routine module in a more informative and entertaining manner, both during and after the pandemic, thanks to the evolution of virtual reality technologies.The VR learning application adopted the content from the Department of Road Transport's exact syllabus to create digital learning assets and immersive environment that are similar to driving schools.The VR learning application could potentially enhance or supplement the existing vehicle inspection routine module by giving students the opportunity to practice social distancing at home while learning it.Wearing a head mounted device like the Oculus Rift, students are immersed in a virtual driving school, where they are greeted and guided by an instructor.Students can learn and revise all of the vehicle inspection stages from the instructor, both in theory and hands-on, in a relaxed and engaging environment through the VR learning application.
A Study on Student-Centered Evaluation of Ideological and Political Education in Professional Curriculums

Ideological and Political Education in Professional Curriculums" is the current development direction of university education.The construction of standardized curriculum evaluation system is the key link and important guarantee to efficiently promoting the construction of professional courses.From the long-term development, the ideological and political education in professional curriculums still needs to strengthen the function of the student subjects, constantly optimize the teaching content construction of political education in professional curriculums.Meanwhile, it needs to make appropriate design and modification according to the teaching orientation, teaching design, teaching content and teaching objectives.It is especially important to build the evaluation system with students as the main body of evaluation.
Research on the Construction of Translation Discipline Based on Cloud Computing and Big Data Analysis Technology

With the increasing growth of translation discipline, the application scope of cloud computing and big data analysis technology in English translation discipline is gradually expanded.Due to its large vocabulary and wide coverage, the translation discipline needs to use cloud computing technology to carry out professional calculation and integration of professional information, so as to summarize the translation knowledge into an overall framework, and build an overall translation learning system by using data analysis technology to guide students' learning dynamics, learning direction and learning needs.Give full play to the practical role of cloud computing and data analysis technology, Cloud computing and big data analysis technology integrate and promote each other.Cloud computing technology can make the data analysis structure more convenient and efficient, promote the quality of data analysis and promote the application depth of data analysis in translation discipline.
Study on Comprehensive Evaluation of University Students in Computer Basic Course Based on AHP

In this paper we take Computer Basic Course as example, study the students' final evaluation.Different from the final exam, by selecting appropriate index and connecting with the AHP method, we construct a hierarchical structure to evaluate students' learning effects.A more comprehensive method and system is constructed, a quantitative result is given to each student.Usual course quiz, EXCEL experiment work, WORD report and PPT report are selected as evaluating index according to teachers' experience, after that, more related index is set in the text according to teachers' experience.The evaluation system is shown in Sect. 2. What we studied in this paper not only provides reference for better evaluating students, but also help teachers with teaching contents, computer subject developing and so on.
Exploration on the Construction of the Open Online Course of IT English

Under the guidance of OBE (Outcome-Based Education) theory, educators, colleges, and universities are paying more attention to the demands for talents of society, and the course teaching in colleges and universities is more emphasizing the actual learning results of students.This paper elaborates on the construction of the open online course of IT English, including its design, structure, main content, learning tasks, assessment, etc. Various types of learning resources and materials are offered in the open online course.Effective and interactive learning activities are also arranged.The research and practice indicate that the students have achieved good learning results and positive experiences from the open online course of IT English.
Research and Application Path Analysis of Deep Learning Differential Privacy Protection Method Based on Multiple Data Sources

The deep learning model will contain user-sensitive information during training.When the model is applied, the attacker can recover the sensitive information in the training data set through model inversion attacks, and directly or indirectly disclose the user-sensitive information.The existing methods can not solve the problem that the privacy budget accumulates with the increase of training times.This paper proposes a method of research on deep learning differential privacy protection method based on multiple data sources, aim at making privacy consumption independent of the number of training epochs to guarantee the potential to work with large datasets.First, we calculate the privacy budget upper bound to optimal experiment selection for parameter estimation.Second, we use the upper bound to determine the number of group, also to balance the number of group and the data size of the subdataset, avoiding data relying on a single model causes leakage of user sensitive information.Finally, we ensemble several models with majority voting, and perturb single model the traditional convolutional deep belief network (CDBN) objective functions, to descend the dependence of privacy budgets on the training deep learning model and improve machine learning results.We applied our model to a health social network dataset and MNIST dataset, and the results show that our method has high privacy protection ability than the existing method for sensitive information on the training dataset.Moreover, standardization can be a feasible path for the generalized application of the technique, which is beneficial for the stability of the application of differential privacy protection techniques and the subsequent feedback updates.
Research on the Present Situation of Artificial Intelligence Education Application

Objective/Significance] Based on the literature analysis of artificial intelligence application research, this paper discusses the integration of artificial intelligence and education, so as to promote the development of artificial intelligence application in education.[Method/Process] Based on the bibliometrics method, taking the Web of Science core set database as the research object, Select the subject "Artificial Intelligence and Education" or "AI and Education" ("AIE" for short) to search, The temporal evolution and spatial distribution of literatures from 1999 to 2019 were systematically analyzed using CiteSpace.[Result/Conclusion] Artificial intelligence and education are independent and integrated with each other.The application of artificial intelligence technology from theory to practice also needs artificial intelligence thinking, technological innovation, participation of teachers and support of relevant policies.
Peer Response for EAP Writing Revision Based on Online Shared Platform

Many online tools and platforms have been used in EAP writing classes for several years, especially in the feedback process.Studies have been conducted in this field and the results have provided solid evidence for teaching designs.This paper introduces the practice of using Tencent shared document in feedback process, aiming to investigate students' attitude towards it and evaluate its efficiency.Qualitative research method was mainly used based on 89 writing drafts, classroom observations and questionnaire results, mathematics software Matlab was applied to analyse the data and evaluate specific efficiency in different areas.The findings illustrate that compared with traditional face-to-face peer review, students are more inclined to use Tencent shared document.They also show better learner engagement and fully affirm the high efficiency of this tool, especially in grammar and vocabulary level.This study brings illumination for teachers who considering whether to apply online shared documents to their writing classes.
Visualization Analysis of Chinese Unearthed Tomb Murals Data Based on Big Data Technology

The unearthed tomb murals in China depict the splendid culture of each historical period of our country with the cultural symbols with the characteristics of The Times.They are the precious cultural heritage for the inheritance and study of the development history of the Chinese national civilization.However, because the tomb murals are buried deep underground, they can only be found through archaeological excavation, and it is difficult to preserve the murals after they are excavated, which makes it impossible for the majority of scholars to directly observe and study the murals, leading to the difficulty in recognizing and understanding the precious cultural information in the tomb murals.Currently using big data technology, data visualization tomb murals can be converted to works of art, from the perspective of informatization, digital parsing the connotation of the information of the tomb murals and cultural heritage, to help the visitor information from multiple dimensions to fully understand and cognitive tomb murals in the gorgeous Chinese traditional culture and strong artistic appeal.
On the Innovation of Computer Aided Design Teaching Mode Under Multimedia Information Technology

Computer-aided design is a foundational engineering subject for electronic and information-related majors, as well as an information technology course that emphasizes both theory and practice to develop students' computer-aided drawing theory and practical skill.The teaching team has consistently improved and modified this course, as well as established a rich multimedia information platform, to address pain points such as the disconnect between sketching and practice.The curriculum resources have been enlarged, the knowledge system has been rebuilt, and the instructional content has been organized by project.It has been realized the integrated practical teaching technique of "computer assisted drawing-board making-debugging".There are three steps to the educational process: multimedia massive open online course learning, smart classroom discussion, and integrated practice.It also comes with a comprehensive online and offline evaluation system.The teaching impact has been greatly improved as a result of this novel multimedia information reform, and it has some promotional value.