bluuebunny/crossref_metadata_2025 huggingface dataset:
Contrasting Features and Volcanostratigraphy of the Mafic-Hosted Mandoos and Shinas Volcanogenic Massive Sulfide Deposits, Samail Ophiolite, Oman
Authors: Cravinho André , Jesus Ana P. , Moreira Bruno , Mateus António , Pracejus Bernhard , Figueiras Jorge , Benoit Mathieu , Bauer Wilfried , Rocha Fernando
Published: April 2023

Despite the substantial amount of research on the Cretaceous Samail ophiolite in Oman, the factors controlling the size and metal endowment of the mafic-hosted, Cu-Au(-Zn-Ag) volcanogenic massive sulfide (VMS) deposits remain elusive. This work shows that the volcanostratigraphic position, hydrothermal venting style, and oxidation processes are critical factors controlling the distinct features of the Shinas and Mandoos deposits.

Mandoos is a large (8 Mt, 1.8 wt % Cu, 0.18 g/ton Au) orebody preserving abundant primary vent-related features formed via mound growth and collapse within a wide hydrothermal field, overlying a poorly developed stockwork. The smaller Shinas deposit (0.8 Mt, 2.6 wt % Cu, 0.63 g/t Au) represents a higher-temperature system evolving from low fS2/fO2 conditions, locally sealed by jaspers, to a mound growth stage with widespread subseafloor brecciation/replacement with associated zone refining. Mandoos formed at the onset of the postaxial stage (Geotimes-Tholeiitic Alley transition), and Shinas is hosted within the Alley units. Volcanism in Samail was seemingly continuous, and the low ɛNd and Nb/Ta of the Shinas hanging-wall lavas record the onset of significant modifications of the mantle source during the postaxial stage.

Mandoos is enriched in Te + As + Se ± Zn ± Ga ± Sb relative to Shinas, where higher Cu + Au + Tl ± Mo grades possibly reflect leaching of protoarc-like lavas. Rare earth element patterns in the ores mimicking the deposit footwall can be employed to constrain volcanostratigraphic positioning and indicate that the footwall lavas may also represent a source of metals. Formation of metal-rich ochres at the sea floor likely led to Cu + Au upgrading in the ores during seawater-induced oxidation, which was enhanced during subaerial gossan formation.
PENGARUH PENERAPAN MODEL PEMBELAJARAN INDEX CARD MATCH TERHADAP HASIL BELAJAR MATA PELAJARAN FIQIH
Authors: Nur Khasanah Whiwin , Subando Joko , Sugiyat S , Ulfah Yetty Faridatul
Published: April 2023

This research, alms to determine the influences of conventional model and Index Card Match model towards learning outcomes on fiqih lesson in grade IV-B Amanah Ummah Islamic Elementary School Surakarta. This research is quantitative research with pre-experimental research. The sample of this research were all grade IV-B student, which in total 26 students. Data collecting instrument used written test. The test included: pre-test and post-test as many as 20 multiple choices questions. Data analysis technique in this research used paired sample t-test. The result of this research proved that: 1) The fiqih learning outcomes of the students who thought with conventional learning model in grade IV-B Amanah Ummah Islamic Elementary School Surakarta got average score 71,9. 2) The fiqih learning outcomes that taught with Index Card Match model in grade IV-B Amanah Ummah Islamic Elementary School obtained by average score 86,1. This is also evidenced by hypothesis test where the value of t-count is 5,712 > t-table 1,7081 and Sig. value (2-tailed) 0,00 < 0,05 then Ho was rejected, and Ha was accepted. Thus it could be concluded that the Index Card Match learning model has an effect and influenced on improving fiqih learning outcomes for student in grade IV-B Amanah Ummah Islamic Elementary School.
ANALISIS PENERAPAN SHARIA COMPLIANCE DALAM PRODUK PEMBIAYAAN AKAD MURABAHAH
Authors: Octasari Astrie , Julia J , Abubakar Kirana
Published: April 2023

This study aims to describe the role of the Sharia Supervisory Board (DPS) towards sharia compliance and to analyze the application of sharia compliance in murabaha contract financing products. The research method used is normative legal research with a qualitative approach. In this study, researchers examined concrete legal regulations and substantial regulations accompanied by supporting literature in the form of literary sources that were relevant to the research object being discussed. The results of the study show that the existence of the Sharia Supervisory Board (DPS) is to guarantee and supervise Islamic banks so that they remain in the corridors of Islamic law. The role of the Sharia Supervisory Board (DPS) is very crucial in the implementation of sharia compliance in Islamic banks in Indonesia. The role of the Sharia Supervisory Board (DPS) at the technical level of banking operations is very important considering the duties, responsibilities and authorities they have. The Sharia Supervisory Board (DPS) in carrying out their duties can be active or responsive. The Sharia Supervisory Board (DPS) must actively supervise, collect data, analyze and correct various findings of sharia non-compliance in an Islamic bank. Financing with a murabaha contract that has been practiced by Islamic banking has deviated from several provisions in the DSN MUI Fatwa and there is a conflict with the legal terms of a sale and purchase agreement with a murabaha contract, namely the bank fully represents the customer to buy and receive goods from suppliers and gives the right to carry out deed of sale and purchase for and on behalf of the customer himself directly with the supplier. Islamic banks should first buy the object before the object is sold to the customer and also in this practice only one sale and purchase transaction, namely between the supplier and the customer. Based on DSN MUI Fatwa No. 04/DSN-MUI/IV/2000 concerning Murabahah, murabahah financing must occur in two sale and purchase agreements.
Research on Unfriendly Comments Against Women on China's Microblog -- Taking Tangshan Hitting Event as An Example
Authors: Wang Ziqi , Xu Jiancheng
Published: April 2023

Women's rights have been a hot topic for most people in recent years. It has aroused the attention of people from all walks of life in the society. This thesis focuses on the in-depth discussion of women's rights. This paper takes Tangshan beating incident as an example to discuss and analyze its fundamental problems and reasons in depth. This study employs mixed methods combines both qualitative methods and quantitative methods.  The participants in this study were participating discussants on related superwordname on Weibo. The study will retrieve the keywords in their sentence on Weibo so as to obtain the views of different groups on the Tangshan beating incident, such as influencers in Weibo, disadvantaged groups, college students. The study focus on their views on social security and gender issues, and it enables participants to have a clear cognition of the public opinion on the Tangshan beating incident. These methodologies will make the paper get the opinions of different groups on the Tangshan beating incident, so as to help the researchers analyze the differences and reasons of social public opinion environment. The problem of females’ weak position remains unsolved because women are still trapped in the stereotype made by men, over which also being widely spread through the information exchange mechanism of network: classic features like gentle, thoughtful and obedient are what thought to define “a good woman”. Participants use an incidence happened in Tang Mountain to start a study. The purpose of the study is to trace the presented fact back to its origin of biases, hopefully contributing to the development of strategies that help build a more equal and inclusive network environment. All these studies and research help people realize the reality of females’ situation on the Internet and how they are affected by the guide of media.
A Comparative Study of Zebra English and You Mei English Courses
Authors: Li Shaohua
Published: April 2023

Under the background of Internet + education, online education is booming. In order to abandon the traditional English education mode and let children accept more pure English, many parents begin to try to choose online English courses. However, there are many kinds of children's English courses on the market, so how to choose a high-quality course brand among the dazzling brands has become the top priority. After tracking and observing a variety of online English brands in the past two years, this paper finally selected two relatively representative online English courses, Zebra English and You Mei English, for comparison and analysis, and suggested that You Mei English should introduce AI technology to design interactive scene animation of real people. It is not necessary to set the reading link in the first-level courses of Zebra English. Children's games and operation components should be added to Zebra English, and daily unlocking task points should be added to Zebra English. Zebra English is more suitable for zero-basis enlightenment, and You Mei English can be added as a supplement in the later stage.
Parents’ Perception of Using Tangible Reward Systems at Compulsory Schools in China
Authors: Zong Silu
Published: April 2023

With the establishment of the two-child and three-child policies in China, parents pay more attention to kids' education. Many countries support using tangible reward systems in educational institutions, and this situation is prevalent in Chinese schools, especially for young-age students. In this experiment, the author collected perceptions about using tangible reward systems in compulsory schools from Chinese parents who have at least one child currently studying in a compulsory school in China. The author summarized parents' thoughts about the expected advantages and disadvantages of using tangible rewards from other studies. A majority of parents supported using tangible reward systems at school. They somewhat or strongly agree with those advantages, such as improving children's self-esteem, collective sense of honor, and independent learning ability. Most of them did not think this kind of system could bring a significantly negative impact on children, such as undermining students' intrinsic motivation. However, a large number of parents agreed that tangible rewards could make students more working for external rewards. In conclusion, most participants still believe in the benefits of tangible reward systems and will also feel happy when their children obtain those rewards from school.
Home care market - Moving Company
Authors: Chen Xiangning , Du Hao , Wang Haoyu
Published: April 2023

Our moving company is located in Shanghai, China. We provide one-to-one high-end services for people with high income population. The company cooperates with high-end customers' residential communities, and their sales will recommend our company to the owners. When the owners need one-to-one moving services, they choose us. Meanwhile, we will also let the public know about our high-end services through website or social network. Our customer's demand is high efficiency with tidiness work team, also the work time we provided will be shorter than other competitors. It will bring customer a very comfortable environment and the contact is very convenient.
The analysis of enterprise economic benefit evaluation model based on network marketing
Authors: Tan Jinyuan , Zheng Yingyun , Zhu Jiake , Zhang Xinrui , Zhang Hesen
Published: April 2023

The comprehensive evaluation of enterprise economic benefits is the core content of enterprise diagnosis and has been the focus of domestic and foreign enterprise management circles. In thorough statistical evaluation, establishing a set of scientific and economic benefit index systems and evaluation methods is of great significance. This paper briefly introduces the design principles of the economic benefit evaluation index, analyzes the shortcomings and improvement measures of the current enterprise economic benefit evaluation system in China, and puts forward the indexes that should be added on the basis of the current index system. At the same time, the main methods for comprehensive evaluation of enterprise economic benefits are also proposed.
Coverage breadth of digital finance and SMEs’ financing constraints
Authors: Luo Jingfang , Wu Jiarou
Published: April 2023

Digital finance, as a new generation of financial services combining Internet and information technology with traditional financial services, has had a significant impact on enterprise financing. This paper takes China's A-share listed companies from 2011 to 2018 as samples to explore the impact of digital finance on SMEs’ financing constraints. Research shows that the development of digital finance can effectively alleviate the financing constraints of SMEs. In the fourth part of this paper, the robustness test is carried out by using the fixed-effect model, and the empirical results are unchanged. The research in this paper shows that the development of digital finance is an important supplement to traditional finance.
Research On the Synergistic Evaluation of Regional Green Finance and Regional Economy Under CRITIC Model
Authors: Xiong Yeqin , Liu Xinyi
Published: April 2023

A healthy ecological environment is a crucial building block for sustainable socioeconomic development, and the green financial system can optimize industrial structure using capital and other market variables to support high-quality and environmentally friendly economic growth. This study examines the synergistic effects of local green finance and the local economy in the impoverished region, Gansu Province, China. Additionally, it introduces the Criteria Importance Through Intercrieria Correlation (CRITIC) model to unbiasedly assign weights to the assessment indicators, establishing a composite system of regional green finance subsystem and regional economy subsystem for synergistic evaluation. By examining the degree of synergy effects in Gansu Province, the findings suggest a low level of overall synergy between the economy of Gansu Province and regional green finance, with an alternating trend of decreasing-rising-decreasing. This study is helpful in lowering the subjective tendency of the assessment of green finance on economic construction and accurately carrying out targeted reforms according to the results.
Research on the evaluation of marketing performance influencing factors of high-tech enterprises based on AHP and factor analysis
Authors: Liu Huiqi , Zhang Jiabin
Published: April 2023

This article explores the elements impacting the marketing performance of listed high-tech firms with regard to their marketing data from 2000 to 2020 in order to serve as an effective reference for the management and development choices of high-tech enterprises. The final weights of the influence of each level element on marketing performance are derived through the hierarchical analysis method (AHP) by reviewing pertinent literature and expert research, and the significant indicators of various factors are derived from the analysis of the actual operational data of high-tech enterprises using the validated factor analysis method. The findings demonstrate that, among the elements affecting the marketing performance of high-tech businesses, marketing innovation capacity has the highest impact.
Preface: 5th International Conference on Business, Economics, Management Science (BEMS 2023)
Authors: Wang Pin , Walton Chapman
Published: April 2023

This proceeding includes original and peer-reviewed research papers from the 5th International Conference on Business, Economics, Management Science (BEMS 2023), and BEMS 2023 was held on March 11-12, 2023 in Singapore.

The aim of BEMS 2023 is to provide a platform for accountants, financial industry practitioners, scholars, managers and graduate students from different cultural backgrounds to present and discuss research, developments and innovations in all fields of business, economics, management. It provides opportunities for the delegates to exchange new ideas and application experiences, to establish business or research relations and to find global partners for future collaboration.

BEMS 2023 received 91 manuscripts. And more than 30 submissions had been accepted by our reviewers. By submitting a paper to this BEMS, the authors agreed to the review process and understood that papers undergo a peer-review process. Manuscripts were reviewed by appropriately qualified experts in the field selected by the Conference Committee, who gave detailed comments and-if the submission was accepted the authors would submit a revised version that considered this feedback. All papers were reviewed using a double-blind review process: authors declared their names and affiliations in the manuscript for the reviewers to see, but reviewers did not know each other’s identities, nor did the authors receive information about who had reviewed their manuscript. The Committees of BEMS 2023 invested great efforts in reviewing the papers submitted to the conference and organizing the sessions to enable the participants to gain maximum benefit.

With our warmest regards,

Pin Wang, Chapman Walton

Conference Committees
Government Decentralization and Cash Holding Level of State-owned Enterprises
Authors: Gan Lai
Published: April 2023

As an important part of the reform process of state-owned enterprises in recent years, government decentralization has a profound impact on the business activities of state-owned enterprises. The cash holding level of state-owned enterprises is not only related to the liquidity of state-owned enterprises, but also affects the effective value of state-owned enterprises in the product market competition. Taking the A-share state-owned listed companies in Shanghai and Shenzhen stock exchanges from 2001 to 2019 as samples, the OLS model is used to empirically test the impact of the government's willingness to delegate power on the cash holding level of state-owned enterprises. The research finds that the government decentralization has a significant negative relationship with the cash holding level of state-owned enterprises. Secondly, with the help of the intermediary effect model, the study finds that the government decentralization is to relieve the financing constraints of enterprises, reduce the policy burden of state-owned enterprises, and then reduce the cash holdings of enterprises. The research conclusion not only expands the relevant literature research on the impact of government decentralization on the cash holding level of state-owned enterprises, but also provides some reference for state-owned enterprises on how to improve their governance structure and capital management system.
Study and Application of Game Theory
Authors: Li Yuanyuan
Published: April 2023

Game Theory is branch of applied mathematics that provides tools for analyzing situations, which has better solved the operability analysis of competition and other problems, and has become a research field in economics. Many kinds of behaviors and phenomena around us can be summarized by game theory. This paper mainly introduces the concept of game theory, the application classification of game theory, the classical model of game theory and the application of game theory in life.
Study on the Power Effect of Nanchang Dialect on the City Brand Image
Authors: Zhu Mengrui
Published: April 2023

Nanchang dialect refers to the dialect within the administrative area of Nanchang, is a branch of Jiangxi language dialect, belongs to the prosperous section of Jiangxi language, is a representative branch of Jiangxi language. Article of Nanchang city brand construction in the process of difficulties, study the Nanchang dialect in the power of the construction of urban cultural image, interpret its application value, to expand the Nanchang dialect application in the urban cultural image, for the protection and inheritance of Nanchang dialect to do some exploration, let dialect really live.
Do Consumers Have Differential Preferences in Choosing Escape Rooms?
Authors: Wang Xinran
Published: April 2023

In recent years, the escape room industry has grown up rapidly in many cities in China. It has become one of the most popular entertainments for the younger generation in their spare time. From the firms’ view, however, it remains unknown whether consumers in different places on different preferences for escape room choice. To address this question, we restrict our attention to Beijing and Shanghai, the two most well-known cities in China. We investigate the store on Dianping.com, a famous service online website in China. We find features about different stores in different cities. We also use the Natural Language Process (NLP) process to summarize topics with associated top words from customer reviews. We find that people in different cities have different preferences for escape stores. In addition, what most people care about in escape rooms are the service and their own experiences. We recommend that store managers should pay attention to improving their service attitude.
The Determinants of Corporate Innovation: Evidence from Chinese Listed Companies
Authors: Qin Yuxin
Published: April 2023

This paper focuses on corporate innovation determinants among listed firms in China, where economic growth and development are largely driven by corporate activities. Despite this, it remains unclear how firms can most effectively develop through innovation. Thus, we investigate the determinants of corporate innovation by examining firm-level characteristics and propose potential solutions to improving innovation. Our unique dataset from multiple sources provides valuable insights for policy-making and investors, highlighting the need for government guidelines to further promote innovative firms in China. This study substantially advances our understanding of corporate innovation in China and provides practical recommendations for policymakers and investors alike.
Big Data Analysis for Supply Chain Management: Evidence from JD E-commerce, NongFu Spring, Tesla
Authors: Lin Hongan
Published: April 2023

Contemporarily, companies in this data era confront great opportunities and difficulties, and data is used as a measurement tool for value. Driven by the data era, this study briefly introduces big data analytics and supply chain management, and integrate several managements used for big data. This paper analyzes the implementation of three examples (i.e., JD e-commerce, NongFu Spring, Tesla), examine the principles involved, and explore the challenges and prospects of analytics. This paper focuses on the factors that influence big data work for supply chain and summarizes various aspects of big data analytics in supply chain management. According to the analysis, businesses that successfully apply big data and convert its value into productivity will have a significant competitive advantage and take the lead in their sector. The ability to use big data is a key driver for companies to use analytics to make supply chain decisions. In addition, companies can make business judgments through forecasting to achieve reform in the supply chain to obtain speed and thus get a profitable advantaged. These results shed light on guiding further exploration of the applicability of big data technology on the supply side.
The Regulation of International Treaties on MNEs' Labor Rights Obligations
Authors: Wang Xinyi
Published: April 2023

With the deep development of globalization, MNEs as its carrier play an important role and their own power grows rapidly in this process. In the extreme pursuit of profit, MNEs violate international labor rights in a very serious manner, which breaks up the basic principles of labor rights protection established by the International Labor Organization (ILO)z and causes significant damage to human rights. The root cause of this phenomenon is the lack of direct and effective international laws to restrain labor rights violations by MNEs. This paper proposes that labor rights obligations should be imposed on MNEs through international treaties, especially it should draw on the excellent practices of some FTAs. At the same time, it is hoped that through this approach, a feasible path for the establishment of an international mechanism for the protection of labor rights will be explored.
Electric Vehicle Investment Analysis Based on Indicators: Evidence from NIO, BYD and, TSLA
Authors: Zhu Liangqian
Published: April 2023

The electric vehicle industry has been operated for plenty of decades, but it has gained very little popularity worldwide. However, research has shown that several countries are gaining interest in this industry. Therefore, electric vehicles will likely gain popularity within the next decade. Investors are interested in this industry since it is unique and has yet to be explored fully. It is necessary for potential investors to conduct electric vehicle investment analysis, hence they get to make informed decisions. Indicators are the best metrics to carry out investment analysis, which give insight into the behavior of finances, thus determining whether the investment is favorable. This paper is a case study of three automotive companies (i.e., NIO, BYD and TESLA) that have ventured into electric vehicle production. Conducting investment analysis concerning electric vehicles is necessary before venturing into the business. This study encourages evaluating a firm and, thus, predicting its future performance. Investment analysis enables one to reduce losses and increase returns by making informed decisions. A general financial strategy can be obtained from conducting an investment analysis. Data obtained from the record will be utilized to calculate various indicators. The corresponding results are critically analyzed and discussed to explain all the factors that should be considered before investing. These results also capture areas on which research still needs to be carried out, which shed light on guiding further exploration in this field.
Human rights responsibilities of Nestle Swiss multinational food and beverage company
Authors: Huang Zhiqi
Published: April 2023

As more and more multinational companies emerge, they bring unlimited convenience and innovation to people's lives, benefiting generations of human beings, people's livelihoods are secured and multinational companies achieve financial freedom. However, at the same time, the conduct behind multinational corporations is a hot issue of concern to the whole society. In recent years, many multinational corporations have been exposed to have the problem of human rights violations, including illegal employment of child labourers and endless beating or even killing of them, which seriously violates the basic right of survival of children. The research in this paper is focused on explaining and analysing the behaviour behind the individual cases of illegal child labour at Nestlé, and suggesting relative legal penalties and guidelines for child protection, and finally suggesting solutions and recommendations for the current situation of human rights violations by transnational companies. It is recommended that Nestlé multinationals should focus more on direct regulation and be more concerned with the transformation of legal remedies, which is an important way to address the current problems. In general, Nescafe should be aware of the current problems and comply with the law, stop violating human rights and give children around the world a happy and pure childhood.
Comparison of Different Financing Methods of Real Estate Enterprises
Authors: Yang Wenshu
Published: April 2023

Since China reform and opening, the real estate industry has gradually developed into a pillar industry of China's economy. In recent years, the Chinese government introduced a tightening policy to limit the expansion of the real estate bubble, but also put pressure on the real estate sector, financing problems are imminent. This article investigates the theme of China's real estate enterprises different financing methods. This study selects two Chinese listed real estate companies as the case, analyzes the relevant data in the financial reports published by the two companies contemporarily. It compares the advantages and disadvantages of different financing methods. According to the analysis, companies that pay attention to internal financing, develop diversified financing channels, have strong corporate strength, and have financing methods that respond to government policies are more capable of financing. These results shed light on helping the choice of financing methods of real estate companies in China and further exploration of financing modes.
Analysis of Atour Lifestyle Holdings Limited and Its IPO
Authors: Zhao Xintong
Published: April 2023

As the leader of the newly rising industry in China, Atour’s has brought the Chinese hotel market with a possibility. The mid-upper-class hotel and combined signed brand hotel. In November 2022, they announced IPO in NASDAQ and raised capital with 52 million dollars. In this paper, Atour’s main business, specialties, the analysis of its IPO event will be discussed. The aim is to provide investors with an idea whether Atour stock is a good stock to invest, why they success and the further improvement and challenges for them. Within the paper, SWOT is used to analysis the IPO event of Atour. Atour has a lot of specialties which makes them occupied the most market share in 2021. However, at the current environment, pandemic strikes back and forth, the ambitious plan of their competitors and even serious inside secret worries. Atour are facing challenges.  Whether they could maintain the performance, maintain the best customers’ experience, lower the operating cost, expand with faster speed will be the further consideration for Atours’ management team.
Cultural Communication Strategies of Luxury Brands in The Era of New Media
Authors: Cai Wenyun
Published: April 2023

With the development of media technology, network and new media increasingly affect people's way of life and cultural dissemination. At the same time, in the enterprise competition in the 21st century, besides product quality and service value, the contest of brand culture also occupies the core position. Based on LV and Gucci's e-commerce and online marketing cases, second-hand materials and literature review in recent years, this paper analyzes the effect and impact of luxury brand culture communication strategies and puts forward suggestions. The research found that the creation and development of a luxury brand can not be separated from a strong cultural core. The brand usually has a long history, artistic halo, sense of dignity, and cultural precipitation, which makes each luxury unique. How to rely on new media technology to formulate a cultural communication strategy in the new media era is an urgent problem for the luxury brand. If the communication strategy is used properly, it can bring good benefits to the luxury brand and give a more profound cultural connotation.
The Impact of Vanke Equity Incentive on Business Management
Authors: Chen Zhong
Published: April 2023

The problem of internal governance in modern enterprises is prominent. In order to stimulate the vitality of company organizations and managers, improve company performance, establish a hub between managers and shareholders, implementing equity incentive systems can help to achieve long-term value improvement and reduce agency costs. This article takes the current situation of Vanke Group from the first implementation of the equity incentive plan in 1993 to the present situation of Vanke Group, and the changes that have occurred in Vanke as the object of this article's case study. Combined with the perspective of corporate management, this article summarizes the role and impact of the equity incentive system on Vanke corporate governance, obtains inspiration from it, and puts forward suggestions for improvement, providing reference for the design and improvement of the equity incentive system for listed companies in China.
The Relationship between Stock Prices and Silver Future Prices Based on VAR Model
Authors: Ma Yixuan
Published: April 2023

Despite recent dramatic increases in the prices of coal, oil, natural gas, and other fossil energy futures, some of which have hit successive record highs, related stocks have seen substantial decreases. The price trend of commodities is typically driven by commodity futures, which serve as price discoverers. There is a relationship between futures and stocks in the market, meaning that when the price of the futures contract for a particular commodity rises, so will the price of the stock of the company that produces the commodity because investors anticipate rising earnings. But does the price of futures vary when the stock price does? Based on the findings of the VAR model and Granger causality test, this study concludes that the stock price, whether it be the current price or the historical earnings, does not significantly affect the futures price. Futures prices have a significant impact on future stock prices. This would facilitate investment decision-making.
Violin Etude Composing based on LSTM Model
Authors: Zhang Xuanhe
Published: April 2023

After the development of deep learning and computer music, there is more and more electronic music composed by computers and algorithms. However, there are very few projects for violin etudes created based on artificial intelligence. In 2020, The Shanghai Symphony Orchestra Concert Hall hosted a special concert of Mozart's 80-year-old works, the last three symphonic pieces were generated by the AI based on learning a large amount of Mozart's past music, which inspire me. In this paper, classical violin etude (i.e., Rudolphe Kreutzer 42 Studies) is used for the data. Based on several studies, the LSTM model is the framework of this study. In the multiple times of changing seeds and temperature, the creation demo has creativity and similarity, but with less education. The educational meaning is also the future research to focus on. This study makes a step in making violin etudes from the classical violin etudes, which can create new etudes for future violin players. Moreover, the new etudes shed light on Inheriting and innovating the predecessors' composing style and thinking.
Analysis of Exoskeleton based on a Light Underactuated Hand
Authors: Liang Denan , Jiang Xin , Zhang Wenhan
Published: April 2023

The number of stroke patients is increasing year by year, and the demand for rehabilitation medical equipment is also increasing. The number of stroke patients is increasing year by year, and the demand for rehabilitation medical machinery is also increasing. The hand exoskeleton machinery plays an indispensable role in the rehabilitation process. In the treatment, the hand exoskeleton machinery equipment needs to be convenient, easy to air, lightweight, and meet the needs of human hands. Robhand meets these requirements in design, but the rotation range of MCP joint and PIP joint of index finger can’t meet the needs of treatment. In this paper, the vector equations of the two loops are obtained through the kinematic modeling of Robhand and the kinematic analysis, and then the numerical solution is obtained by the numerical solution of MATLAB, that is, the Rotation angle of the mechanism φ Rotation angle with MCP joint αand PIP joint β.
Composing Real Time Adapting Weather Music based on Nyquist
Authors: Huang Yibo , Jia Zhaorun , Lin Cheongut , Shi Yunbo
Published: April 2023

Contemporarily, as computer music is becoming more popular, plenty of people start to make their own music through the computer. In general, there are so many different types of software or language for people to use to create music. In this paper, we will introduce several basic lines that one can use for making music in terms of Nyquist, and the sound one can produce in Nyquist. The main idea of this paper is to create different pieces of main melodies and add sound effects according to the data obtained from a website related to weather conditions of Earth. By completing the work, we will demonstrate the way to create new scores by writing codes, abstract real time data from a separate media and letting it control the codes on Nyquist. The application of this product can help people emotionally and offer a tool and a direct feel of the variation of the planet by using acoustic techniques. However, there are still limitations that restricts the project from having a higher value, and worth more study and development in the future. These results shed light on further developments in creating music that will change and adapt according to a real time data.
Analysis and Prediction of Subway Ridership
Authors: Liu Jingyi
Published: April 2023

Many people go by subway in China. Huge passenger flow brings much trouble to the police and passengers, such as crowded carriages, long waiting times and low-efficiency transport. So it is important to know the traffic jam before it brings many problems. With the data from Tianchi Competition, this paper analyzes and predicts the subway ridership of a station in Hangzhou based on time series and linear regression. Taking line 3, station 5 as an example, there were two peaks which have many passengers in the station. Combined with the results, it proposed that traffic police need to pay more attention to the rush hours. People who do not need to commute can avoid these times. The government may also use this prediction results in the subway service management, as well as in the planning for the future development and subway lines projection.
Effectiveness of Deep Learning Model for Plant Disease Detection
Authors: Li Fenghai
Published: April 2023

In recent years, agriculture has become more and more important since global warming became a serious problem human beings must face. In this case, plant health needs to be noticed. It is very important to avoid food shortages as much as possible, given the fact that food is still scarce in today’s society. If plants have any disease, the earlier people find it, the easier for the farmers to carry out the action to stop the disease and protect plants. Compared to the traditional machine learning Convolutional Neural Network (CNN) , deep learning has become very efficient dealing with the data. In this paper, two deep learning, specifically two convolutional neural network models, are compared to two machine learning models, on a plant disease diagnosis dataset. The author finds out the deep-learning-based model performs superior than traditional machine learning models. Moreover, designing domain specific techniques for the plant disease detection would help the accuracy of a model.
Preliminary Design and Research of Wearable Devices for Parkinson 's Disease
Authors: Gao Yuan
Published: April 2023

A typical neurodegenerative condition is Parkinson's disease. Since no medication therapy will halt the progression of the disease, patients will eventually lose the ability to function and live a normal life. Generally, the diagnosis of Parkinson's disease mainly depends on the patient's Electroencephalogram(EEG) combined with Magnetic resonance imaging (MRI) and Computed Tomography(CT) images. The disadvantage is that the cost of monitoring and maintenance of testing equipment is relatively high. And large, expensive equipment such as MRI and CT cannot be transported over long distances. Now with the development of wearable technology, portable wearable helmets can be used to diagnose and monitor Parkinson's disease. In this paper, by combining the existing research results of microwave scanning and wireless sensor networks, the preliminary design and research on this wearable device that may appear in the future have been carried out. This device can meet the needs of Parkinson 's disease diagnosis in areas where medical equipment is underdeveloped, and can also meet the needs of daily monitoring of Parkinson 's patients.
Social Media Platform Website for Autism People
Authors: Zhang Haoming
Published: April 2023

Mental diseases are serious problems nowadays, autism is one of the most common mental diseases. As we are living in a fast paced society, people are busy with working and provide support to their families and friends, mental diseases are easy to be neglected. The objective of this article is to explain how to develop a good social media platform for the people with autism. This article includes the methods of observation, interview, and questionnaire. The first step is to observe and interview a real person who is diagnosed to moderate autism. Next, this work will find out 50 potential autistic people by questionnaire 1, then there are 5 questions in questionnaire 2, and will be given to potential people with autism to answer. After that, the article will discuss the results, and giving possible solutions. This article will provide help for people who are interested in developing an online social platform for people with autism.
Making Decisions Like Human, the Application of Deep Learning Algorithms in Game Testing
Authors: Wang Xiaokai
Published: April 2023

Artificial intelligence (A.I.) is currently used widely in testing of video games. A.I. had surprisingly performance in board games such as chess and go. How does it perform in modern digital games? Currently, A.I. is at trials of checking the operation of the game and figured out bugs by simulations. However, the algorithms that were applied to the first generation of A.I cannot perform well in current digital games due to completely different constraints. Hence, Deep Learning algorithms are implemented on artificial intelligences or agents that are created for the digital game testing. Deep learning algorithms not only let A.I. can simulate how a human player is thinking when they are playing a digital game, but they also let A.I. can gain experience from billions of simulations based on the extreme speed of calculating. This study would give analysis on performance of A.I. or agents with deep learning algorithms, and show the limitations and barriers of automation of video game testing. Eventually, we explained why automated video game testing is still far away from us.
Composition Analysis and Identification of Ancient Glass Products
Authors: Zhang Kaijie , Wang Ziwen , Yan Shaochen
Published: April 2023

During the weathering process of ancient glass, due to the large amount of exchange between the internal elements and the environmental elements, the composition ratio of the glass changes, which affects the correct judgment of its category. In this paper, statistical analysis and classification of known data are carried out, and K-means algorithm of random forest and unsupervised learning is adopted to analyze and identify the components of glass products, and reasonable prediction is made for unknown types of glass products.
Price Prediction of Cryptocurrency based on LSTM Model: Evidence from Ethereum
Authors: Xu Diming
Published: April 2023

Contemporarily, under the impacts of COVID-19 and regional conflicts with radicalness fiscal policy, the prices of cryptocurrency have been fluctuated dramatically. Among various types of cryptocurrency, Ethereum is one of the most volatility assets. In order to avoid risks as well as gain extra return in the crypto market, it is necessary to construct accurate prediction approach. In this paper, the Long Short-Term Memory algorithm will be used to predict the future price of Ethereum by learning Ethereum's past price direction data. price trend by learning Ethereum's past price trend data. Based on the analysis, the predicted values of the trained model fit well with the actual data, with the regression evaluation index R2 of 97.08% and MAPE of 6.89%. According to the results, it is feasible to predict the future price trend through the past price trend data. Nevertheless, it should be noted that the stochastic process in data training might lead to the instability of model performances. Hence, it is necessary to train the data several time to select the best models. Overall, these results shed light on guiding further exploration of cryptocurrency price forecasting in terms of the state-of-art neural networks.
Classification of Spam E-mail based on Naïve Bayes Classification Model
Authors: Cheng Shaopeng
Published: April 2023

With the rising number of spam email, the need of more sufficient antispam filter is surging. Phishing attack can lead to extremely large losses of companies and individual, even more than 1 billion dollars in one year. This paper investigates and combines Naïve Bayes Classification and clustering algorithm in the application of identifying spam emails. With sample emails to create a dynamic dictionary containing most frequent words in spam and normal emails, this distribution of spam filter will provide a stricter method to prevent spam emails than those methods used in mail companies, e.g., Google, Yahoo, and Outlook.com. Besides, this paper also compares several algorithms used today in classifying spams and the future techniques of deep learning and machine learning’s application in classifying spam emails. According to the analysis, Google’s algorithm has the most comprehensive function, but such algorithm has less strict rule than Yahoo’s. Outlook.com, as a combination of Microsoft application, it has a unique algorithm for encrypting and filtering spams. Overall, these results shed light on guiding further exploration of both comprehensive and strict rule for classifying spams.
Optimizing the Cost of Garbage Collection in F2FS Using Working Set Strategy
Authors: Wang Xu , Yang Boxin
Published: April 2023

As an important part of the operating system, the file system has always received wide attention, and different types of file system architectures have been constantly proposed and practiced, this time, we mainly focus on the log structured file system (LFS) type flash friendly file system (F2FS) file system. The existing garbage collection algorithm has offered a interface for future improvement. Hence, we tried to improve existing garbage collection algorithms by implementing the working set strategy in victim select algorithm and analyze the existing deficiencies of the F2FS file system. Under the original strategy, when F2FS selects a segment, it will select the section with the fewest valid blocks. After we change it, we have completed the balance consideration of the change time, the number of valid blocks, and the proportion of changes. It is expected that the Flash device will have the longer life. By using the proposed technique, the cost of garbage collection has reduced by 10%. At the same time, based on the cold and hot data separation characteristics of the F2FS file system, we propose optimization suggestions for the cold and hot data separation strategy.
The Prediction of the Air Quality based on the Prophet Algorithm
Authors: Cai Fangjie
Published: April 2023

Due to the fact that the environmental problems are increasingly focused and among them, air quality is closely related to human’s health. It is necessary to have a better understanding on the surrounding air quality. In this paper, a dataset collected from the internet is used to exemplify the usage of the Prophet algorithm on the prediction of air quality. Compared with the conventional monitor and analytical methods, it can not only record the up-to-date air quality indexes, but it can also do some predictions on the air quality based on the dataset and plot the trend. Since Prophet algorithm can take seasonalities and holiday effects into considerations, it is suitable to employ it to predict the changeable air quality. The prediction results were output by the codes in the form of line charts. According to the experimental results in this study, the accuracy of the model is acceptable and reliable.