Reviewerly/exHarmony huggingface dataset:
Market Analysis of Alibaba’s Marketing Strategies in Different Perspectives

This research investigates the marketing strategies used by Alibaba Group from different perspectives in the domestic market, with the introduction of the recent situation of the company now, it includes a complete business ecosystem that integrates e-commerce platforms, supporting local life services, health care, etc., and includes pan entertainment businesses such as games, videos, music, and intelligent terminal businesses.These will show the reason for the success of Alibaba Group.Online research with thesis and research was done with 6 reliable resources that the text is based on objective, existing facts.The outcome demonstrates the marketing tactics employed by Alibaba Group in various market scenarios, and their success was attributed to both internal and external marketing tactics.
The System Development and Design of Chinese Digital Teaching Resources in Higher Vocational Colleges

With the continuous development of Internet technology in China, the teaching level of higher vocational colleges in China is also constantly improving, and gradually becoming one of the very important topics in higher vocational colleges.China has gradually entered the information age, and more and more higher vocational colleges have begun to establish their own LAN teaching system.In the process of the rapid development of teaching, it is necessary to further strengthen the connection between the digital teaching system and the teaching work in higher vocational colleges, promote its integration with the Internet, provide more convenient ways for students, and play its complete role.This paper discusses the design and development of Chinese teaching system in the Internet era, aiming to increase the development and design of Chinese digital teaching resource system in higher vocational colleges, so as to accelerate the process of Chinese teaching in higher vocational colleges in China.
Realization of Preschool Education Resource Retrieval System Based on Computer Technology

With the popularity of computer technology, anyone can now upload data resources on the Internet today, which means that the authenticity of data information collected in ordinary browsers is not well guaranteed.Nowadays, the accuracy of only using the browser to query the data is not high.In order to improve this situation, this paper builds a preschool education resource retrieval system.In the preschool education resource retrieval system, users can query their own needed information according to the keywords.This system uses JSP technology, the relationship between the front and background is more clear, the system maintenance is more convenient, and can obtain scale support and structural support.This system is not only for students majoring in preschool education, but also for parents and children who need relevant knowledge, which plays an important role in children's physical and psychological development.
How Machine Learning Methods Unravel the Mystery of Bitcoin Price Predictions

Machine learning has a wide range of applications to meet the complexity of data and various expectations for prediction types.In this study, a comprehensive review of various machine learning approaches for Bitcoin price prediction will be proposed.After examining previous research on cryptocurrency prediction using Long-Short Term Memory (LSTM), Multi-layer Perceptions (MLP), and Support Vector Machine (SVM), with the focus on LSTM, it can be found that LSTM is a widely employed method in Bitcoin price prediction because of its advantages in incorporating both long-term and short-term dependencies.This paper reviews a series of research papers by comparing the differences between the methods they implemented, to a limited extent, based on their predictive power, replicability, and model limitations.Furthermore, some potential improvements and explored innovations for future studies also be discussed.
Research on the Application of Dynamic Signs in the Exhibition Space in the Era of Digital Communication

Signs have a long history, from early visual symbols to trademarks for commodities, to a well-established system of teaching sign design globally.Approximately in 2000, dynamic signs started to be employed and have occupied our vision and increased the dimensions of sign design in only a decade.In this article, we assess the historical growth of dynamic and static logos, analyze the distinctions between static and dynamic logos, and list the design approaches of dynamic logos, considering the design of logos in exhibition spaces as the object of research.At the same time, designers and designers are confronted with the dilemma of whether dynamic is inherently more relevant to the future than static.It should be mentioned that dynamic signs also have their limits, not all exhibition venues are suited for dynamic signs, and it remains to be seen if dynamic signs will continue to be modern and stylish, or whether they will once again be retro-flat and handcrafted.
Research on Scientific Teaching Supervision Based on Big Data Technology

In today's era of big data, there are more new changes in teaching supervision, and more new technologies are needed to improve its scientific level.Based on this, this paper explores the platform design of teaching supervision system based on big data technology, and specifically explores three aspects: system architecture, main system technologies and system module design, in order to promote the scientific and high-level development of teaching supervision, and provide reference for related work in the future.
Research on the Application of EAA and EAC

When there are multiple investment projects, those who have the opportunity will usually choose the investment through calculating the net present value(NPV), and if an investment has the biggest net present value, then it will be the optimal investment.When the life of investments is the same, we can utilize net present value to determine the best machine life.However, when the machine has different ages, it is impossible to make investment choices by calculating net present value.The study found that when there are projects with different investment years, it can be calculated by the equivalent annuity method and the investment value annuity method.Therefore, the main purpose of this article is to introduce the concepts of equivalent annual annuity(EAA)and equivalent annual cost(EAC), and to study the use of these in real life, all walks of life and various industries.There is still a lot of white space, and the actual use is very frequent.Therefore, the use of equivalent annual cost in real life will be more extensive.When there is a new project, the cost between the new and old projects should be evaluated by calculating the equivalent annual cost, so as to make frequent choices.Both EAA and EAC are used to evaluate various projects with different investment years or service lives.EAA is calculated from the perspective of profitability, while EAC is considered from the perspective of cost.Research on these two will not only be of great help in the field of investment, but also will be a great progress in project evaluation and research and development in all walks of life.
Empirical Analysis of Value at Risk (VaR) of Stock Portfolio Based on Python

This paper mainly introduces the financial sector is widely acclaimed VaR risk quantitative analysis method, VaR method (Value at Risk), known as value-at-risk model, is often used in the risk management of financial institutions.We select and download the data of four stocks (APPL, BAC, AXP, KO) which the company Berkshire Hathaway had heavy position in.Then according to the shareholding ratio released in its quarterly statement, we build the corresponding weights of portfolio.In this paper, we estimate Value at Risk (VaR) by the method of the simple variance -covariance VaR method.On the assumption that the sample data obey the normal distribution, the simple VAR method is used to get the reliable value of risk, and the prediction made by the value of risk can better estimate the risk which has an important practical guiding significance for the risk management of securities investment.
Material Collection and Computer Software Oil Painting Creation Analysis Based on Big Data

In this era of rapid technological development, the explosion of data has caught people off guard.With the expansion of computer application fields, big data technology is applied to all aspects of life, including image processing technology.The amount of information contained in images is also rapidly increasing.Therefore, how to effectively use the image processing technology supported by big data technology has become the focus of this paper's thinking on processing technology.Based on the background of big data, this paper analyzes the relationship between material collection and computer software oil painting creation, and designs a massive data storage model based on cloud computing.The study showed that half of the 24 people surveyed believed art was impossible.47% believe that art can also be a work, a work can also be art, and can be exchanged.3% believe that art has become a tool for making money.The establishment of a large database allows oil painting creators to have more creative ideas, but at the same time their art museums also show obvious contradictory characteristics.But almost everyone agrees that art is sacred, pure, an expression of the author's heart.
Research on the Construction of College English Online and Offline Blended Teaching Platform Based on Web

In order to effectively promote the reform and development of college English teaching mode, combined with the application advantages of current network information technology, this paper designs and develops a college English online+offline hybrid education platform.Web-based system technology adopts B/S mode and is built in ASP.NET.The front-end page is based on HTML+CSS+Javascript language, and the back-end server function development is based on C# language technology and related technologies of SQLsever database, which realizes the unified management of college English learning resources, takes into account the process evaluation of education and teaching, and enriches the interactive channels between students and teachers.The practice shows that by making full use of the blended teaching platform, the shortcomings existing in the current teaching process of college English can be effectively improved, the autonomous learning ability of college students can be enhanced, and the communication efficiency between students and teachers can be improved.In addition, it can also reduce the workload of teachers and improve work efficiency.While constantly improving the college English teaching system in colleges and universities, we will further promote the process of information-based reform of college education.
Discussion on the Improvement Path of College Students' Computer Application Ability and Information Literacy

The 21st century is an information world, college students are an important pillar of the future development of a nation, how to strengthen and improve students' computer application and information quality, will greatly promote the construction of China.As a new medium, new media has become the main way for college students to acquire knowledge.This paper studies the influencing factors and improvement strategies of college students 'information quality, which is of positive significance for the training of university application ability and information talents, and the thinking innovation and path expansion of college students' computer application ability and information literacy development under the new media environment.
Application of Data Mining in Business Analysis

In the big data era, data are the future.Efficiently dig and analyze the potential business value behind a large amount of data is an urgent problem for marketing industry.Mining effective information requires the use of business analysis.This paper discussed the necessity of business analysis for the marketing, as well as some methods that can be used in making business decisions and data mining, finally discuss the future research and development fields about business analysis and data mining technology.When selecting analytical methods, it should be combined with the actual business situations and decision analysis purposes.When a certain method has defects, analyst can consider combining some different analysis methods to make a complement with each other.When data mining technology is applied to different social industries, it is necessary to notice the privacy and confidentiality of data information.Last, in addition to helping marketing managers find competitive advantages, business analysis can also combine different fields or industries through a strong data relationship network to optimize resource allocation and utilization, help decision makers to make efficient and valuable decisions.
Innovative Research on Water Regulation and Management Information System

In the context of the most stringent water resource management system, in order to better solve the problem of unreasonable allocation and under-utilization of water resources, the rational allocation and efficient use of water resources.This paper uses computer application technology, internet of things technology, digital communication technology and other technologies to realise information technology for water resources regulation and control, and designs and develops a water resources regulation and control management information system to realise information management and full process control of water resources regulation and control.The system uses information technology to realise information, problem diagnosis, plan recording and control of water resources, and facilitates scientific control of water resources in the area under management by managers.
Study on Teaching Design and Application Practice of Learning Emotion Experience Based on Analysis of Students' Facial Expressions

Learning is an activity process in which cognitive and emotional factors interact.In recent years, with the rapid development of Internet technology, big data, cloud computing, AI (Artificial Intelligence) and other new technologies, seeking intelligent education that plays the role of learning emotional factors has become a new trend of classroom teaching development.Based on the three major emotional elements (positive emotion, negative emotion and neutral emotion) and their dynamic transformation mechanism in the classroom learning process, combined with facial expression analysis technology, this paper constructs the teaching activity process design for learners' learning emotional experience, which can be divided into six stages: problem definition, task analysis, information processing, problem solving, evaluation feedback and summary and consolidation, Each stage will make learners have different learning emotional experience.The teaching application practice shows that the teaching activity process design can produce positive learning emotion and effectively promote the occurrence of deep learning.
Application of Commercial Data Mining Model in Cloud Technology

In the new period of rapid network development, high and new technology is gradually applied to all walks of society, and cloud computing network technology gradually stands out.With the rapid development of science and technology, the development speed of cloud technology has become more and more rapid, and it is developing towards the direction of the cloud network of various computer software.In order to improve the clustering effect and quality of data, cloud technology is being actively used in both scientific research and commercial fields, and cloud technology is being integrated into the construction of data mining platform to improve its operation quality.This paper discusses the application of commercial data mining model based on SaaS and cloud technology.For the help of current cloud technology development for data mining technology, the purpose is to improve the work efficiency of commercial data mining model under cloud technology and provide complete data for the information age.
Research on the Development Path of Online Education Based on Big Data

The deep integration of Internet and education has produced online education.This paper presents data and quantitative analysis on the development status of online education in China in four dimensions: platform development, teaching resources, teaching quality and teaching management.The results show that the quality of online teaching in China is poor and the teaching management is lack of personalization and precision.Use big data technology to conduct data mining, prediction and learning analysis for online education, and propose development strategies for online education, so as to promote personalization and precision of online education and improve teaching quality.
Dance Movement Recognition Based on Gesture

Aiming at the low accuracy of traditional dance movement recognition methods, a movement recognition algorithm based on human posture estimation is proposed.Firstly, PAFs algorithm is adopted to recognize the spatial skeleton nodes of the human body model and the connection of human body joints, thus the human movement skeleton is obtained.According to the movement skeleton, the human body posture can be estimated.After the posture information is preprocessed and features are extracted, LSTM time series algorithm is used to classify and recognize the dance movements.The results show that the algorithm can clearly identify the dance movement skeleton nodes.For different movement categories, the recognition accuracy and recall rate of different movement categories are above 85%, and the recognition accuracy of curtsey movement is up to 95.2%.It can be seen that the recognition accuracy of this algorithm is significantly improved and different dance movement categories can be accurately recognized.
Analysis of College Students’ Second Classroom Ability Evaluation Based on Principal Component and Clustering Methods

For better cultivating the comprehensive quality of students, this paper takes the perspective of the second classroom and combines various data of students' indicators, to explore and analyze, so as to better promote the development of higher education in our country.In this paper, a data set of second classroom from college students is studied using principal component analysis and hierarchical clustering.Based on the definition of second classroom, this paper constructs evaluation indexes which include competition, research and innovation, foreign language, cadre, public interest, and physical test for college students.Firstly, this paper uses principal components to analyze the second classroom situation of individual students, and selects the top four principal components as the main evaluation indexes of the second classes based on the cumulative contribution rate.Secondly, this paper uses hierarchical clustering method to cluster the samples.The model is evaluated and analyzed Silhouette Coefficiency, Calinski-Harabasz Index, and Davies-Bouldin Index.The results show that the clustering model is optimal when the category is 3 and the cluster distance is 'single'.The model is reliable, scientific and reasonable.By identifying the categories of students and providing appropriate recommendations, we can better promote the development of higher education in our country.
The Establishment and Application of College English Online Teaching Mode under Web Technology

In the context of the rapid development of the Internet, the classroom mode of university teaching should also be changed in accordance with the background of the times, and it should not be limited to the teaching mode of offline classrooms.The traditional teaching model is no longer suitable for the requirements of the current era, and it should complement the online education model.Currently at a critical juncture of epidemic prevention and control, in order to improve the teaching mode and respond to the education department's requirement of "suspending classes without teaching", various colleges and universities have adopted online teaching methods to teach, and online education is novel.The teaching mode and method of the college are more and more valued by colleges and universities, as a supplement and expansion of traditional offline education.Therefore, combined with the actual situation and the current situation of college English teaching and the existing problems, the establishment and application of the online teaching mode of college English based on web technology is proposed.The design and development of the college English online education platform is based on web technology and adopts B/S mode in the front page with Vue.js as the framework and HTML+CSS+Javascript language as the framework and Thinkphp as the framework.Basic background ribbon development.The development of this platform has effectively guaranteed the promotion and development of the online teaching mode, and also made a new attempt for the online education mode of colleges and universities.
English Mixed Teaching Database Based on Big Data Technology

The focus of English majors is to communicate fluently with people from English-speaking countries, so translation teaching in English majors is very important.Now that we have entered the era of big data, the way of education has been updated with the development of science and technology.Big data technology can bring a new way to English professional translation teaching.The establishment of the English translation database can provide reference opinions for English teaching, provide more abundant and standardized teaching cases for English translation teaching, and improve the efficiency and quality of teaching.Today's databases can be built with the SQL Server database management system.The English database under the SQL Server database management system has a large capacity and stable operation, which is of great help to the establishment of an English database.
Data Analysis on the Factors Affecting the Entrepreneurial Intentions of English Majors in Local Universities

In this paper, a questionnaire is compiled to collect data about factors affecting the entrepreneurial intentions of English majors in Hei Longjiang province using a sample of 756.Through the analysis by SPSS, the results show that students' background information has less significance on entrepreneurial intentions, however, self-efficacy, the influence of parents and friends, government support and university support have significant impacts on entrepreneurial intentions.
The Performances of Different Strategies Based on Time Series Analysis

The markets and investors had faced severe challenges during the COVID-19 Pandemic.It is important for inventors to learn the way to spread their risk from their portfolio.This paper indicates the performance of different Hedge fund strategies during the Pandemic.Hedge funds use different risk management methods to improve the performance of portfolio.We examined three different hedge fund strategies (Merger Arbitrage, Momentum Strategy and PEG ratio) in a time series to analyze the way that hedge funds help investors to improve their performance in the COVID-19 pandemic.The characteristics of different strategies are demonstrated by giving strategy models and gave results on our time series analysis.Specifically, the Microsoft and ATVI are chosen for our Merger Arbitrage; Occidental Petroleum Corporation and Netflix, INC. are selected for momentum strategy; and Macy and FedEx are selected for PEG ratio.According to the analysis, most strategies enable investors to survive under the market depression.Moreover, limitations and future prospect were also discussed.These results shed light on guiding investors to use different hedge fund strategies to lower their risks in different global circumstances.