bluuebunny/crossref_metadata_2025_split huggingface dataset:
Measuring Information Capacity of Volatility Risk Premium Using Quantile Regression
Authors: Ji Yifan 
Published: April 2021

Abstract
Volatility is a very important variable in financial research, and so is the volatility risk premium. This article constructs upward, downward and overall volatility risk premiums based on the daily data of Shanghai 50 ETF options and the 5-minute high-frequency data of the Shanghai 50 Index from February 9, 2015 to February 28, 2020. The quantile regression method is used to predict the return of the Shanghai 50 Index in the next 14 days, 30 days, 60 days, 90 days, 180 days, 270 days, and 360 days. Our study finds that the 0.05 quantile has the best prediction effect, and the overall volatility risk premium is better than the upward and downward volatility risk premiums in most of the time, which shows overall risk premium has more information than others.
Cultivation of International Accounting Talents under the Background of Informatization
Authors: Wang Xiuqing 
Published: April 2021

Abstract
With the rapid development of new technologies such as the internet of things, big data, artificial intelligence, mobile internet, cloud computing and block chain, accounting professional education is facing profound changes and challenges. In the future, finance will transform from financial accounting to management accounting. Under the background of informatization, it is urgent for colleges and universities to keep up with the pace of social development and take industrial development and enterprise transformation and upgrading as the guidance and the support of personnel training and knowledge innovation. It is also necessary to strengthen the training of international accounting personnel from comprehensive, applied, cooperative and innovative aspects.
Current Situation and Promotion Methods of Talent Exchanges and Cooperation between Two Sides of the Taiwan Straits under the Background of Artificial Intelligence
Authors: Lin Yuhan 
Published: April 2021

Abstract
Since 2004, with the support of the central policy, the Fujian Provincial government began to put forward the development strategies of developing the economic zone on the west coast of the Taiwan Straits, and the exchanges and cooperation of talents across the Taiwan Straits has become increasingly frequent. After about 15 years later, the mode of talent exchanges and cooperation in Fujian province has become mature, among which the talent exchange activities in higher education are outstanding. Under the background of artificial intelligence, this article mainly outlines the current situation of the talent exchanges between two sides of the Taiwan straits: universities, teachers and students; and makes analysis and evaluations of the prospect of talent cooperation, and puts forward the corresponding policy recommendations, which can promote the development of college talent exchanges between Fujian and Taiwan, to establish a long-term effective mechanism of talent exchanges and cooperation with the characteristics of cross-strait.
Event Prediction Technology Based on Graph Neural Network
Authors: Fu Qiang , Wei Yongchao 
Published: April 2021

Abstract
With the rapid development of the mobile Internet and the continuous expansion of network scale, the network security situation is becoming increasingly severe, and the endless network security threats have put forward higher requirements for network security performance. Based on the above background, the purpose of this paper is to explore the event prediction technology based on graph neural network. Due to the slow convergence of the network event prediction and evaluation model, the untimely risk assessment and inaccurate safety prediction caused by the incomplete parameter setting of the prediction model have become prominent problems in this field. This paper proposes an event prediction technology based on graph neural network. This method first uses genetic algorithms to optimize the weights in the training process of the graph neural network, which overcomes the blindness of initial weight selection and improves the training efficiency of the graph neural network; the KDDCup99 data set is used to conduct experiments on the above two methods respectively. Verification and analysis. The simulation and comparison experiments respectively verify that the neural network-based network security situation assessment and prediction method proposed in this paper can realize the assessment and prediction of the network situation more efficiently and accurately.
Talking about the Application of VR Technology in Art Derivative Cultural Creation
Authors: Liu Han 
Published: April 2021

Abstract
In the context of the epoch-making development of science and the continuous improvement of the social system, VR technology has quietly emerged. With the rapid development of the Internet industry, various industries are also adapting to receive the collisions brought by new fields. VR is one example. In recent years, art-derived cultural creation has continued to expand. In order to improve the integrity and creativity of cultural and creative product design, some industries use VR technology to realize product design from a full perspective, so as to have a more comprehensive and in-depth understanding of the cultural and historical sense of the product. Through the analysis and discussion of the application status of VR technology, the integration of VR technology and the design of art-derived cultural and creative products will finally show the cultural and creative products in the form of three-dimensional models, which has certain guidance for the inheritance and development of culture significance.
Color Application in Ancient Shu Cultural Landscape Based on Data Quantitative Analysis
Authors: Ye Dingying , Zhao Xian , Li Xue , Feng Yuanyi 
Published: April 2021

Abstract
As an important factor in the landscape experience, color has attracted more and more attention. This paper investigates and collects the color application of the ancient Shu cultural landscape in five sites where the development of ancient Shu culture is relatively mature. Based on the quantitative analysis of the data, it is concluded that there are some problems between landscape’s subject and carrier colors in hue, value and chroma. Meanwhile, the corresponding suggestions are also made.
Design and Analysis of Self-propelled Vegetable Seeder
Authors: Xie Fuxiang , Yu Qingxia , Li Xinyu 
Published: April 2021

Abstract
The design of this paper is to draw lessons from and optimize the advanced design at home and abroad, and design a vegetable seeder that can better adapt to the actual complex sowing situation in China. This design uses air-suction metering device, which can accurately sow seeds and improve the production efficiency. This design improves the overall structure of the seeder to adapt to different sizes and rugged and complex land conditions, whether complex hilly or flat terrain, no matter how well the soil can adapt. The sowing amount, plant spacing and row spacing can be adjusted in a wide range to meet the different needs of sowing. With a small change in the structure, the actual production needs can be met.
Reform and Innovation of Government Public Service Algorithm Model in the Era of Big Data
Authors: Li Mengyuan 
Published: April 2021

Abstract
With the continuous development of information technology, data is being generated and accumulated at an unprecedented speed. Big data policies have gradually extended from the overall plan to major industries and various sub-fields. The development of the industry has risen to the national strategic level. In order to provide big data Development provides a good environment. The government has issued relevant policies and regulations at the national level to conduct top-level design and system deployment of the national big data development strategy. The purpose of this article is to organically integrate public management with the advanced information technology of big data algorithms through interdisciplinary, and provide theoretical basis and technical support for the innovation of government public services in my country. To solve the difficulties and challenges encountered by government public service algorithms in the big data environment and the limitation of the problem scale of government public service algorithms under traditional platforms, the MapReduce model is used to transplant government public service algorithms to the Hadoop platform for research. The government public service model algorithm is MapReduce, and the algorithm of the government public service model under the Hadoop platform is analyzed experimentally from the solution quality and problem scale of the algorithm. The experiment shows that after transplanting the government public service model algorithm to the cloud computing platform, the price of the optimal solution for the public service is calculated to be 1,756,633,690 yuan/1,000 square meters.
Analysis of Automobile Body Structure and Monocoque Body Welding Technology
Authors: Liu Xiang 
Published: April 2021

Abstract
Is the main purpose of the car body by passenger, cargo, safely and reliably protect passengers and cargo from wind, sand, rain, snow, etc., constitute a good air mechanics environment, body should guarantee reasonable structure, beautiful shape, color coordination, and can effectively reduce the car’s fuel consumption, air resistance and ensure the car driving stability and cooling condition of the engine, ensure the car ventilation, etc. The body parts mainly include body shell, surface meal gold, freight car and cab, door, window, frame and so on. The automobile body structure can be divided into three types: non-bearing, semi-bearing and bearing. There are many kinds of welding methods commonly used in body maintenance, and it is of great significance to research and formulate the welding repair process for body.
On the Application of Big Data in National Supervision Work
Authors: Huang Yiwen 
Published: April 2021

Abstract
Big data has inserted scientific and technological wings into national procuratorial supervision, but due to the lag of legislation, system and talents, it has also brought some problems and challenges. Efficient integration and application of big data technology into national procuratorial supervision requires not only strengthening legislation and sharing data resources at the national level, but also attaching great importance to the training of information talents.
Research on the Impacts of Multisensory Marketing on Customer Loyalty Based on Data Analysis
Authors: Chen Jiyang , Zhang Yong , Zhang Lei , Zou Qianqian 
Published: April 2021

Abstract
The last several decades have witnessed the wide application of multisensory marketing techniques in hospitality industry. It is widely acknowledged that sensory experience adds value to brand equity. However, the impacts of multisensory marketing on customer loyalty in luxury hotels still remain unknown. This study examines the relationship between multisensory marketing and customer loyalty in luxury hotels. A structural equation model which reveals the relationship between 10 variables of five-sense marketing and 4 variables of customer loyalty was built by AMOS 22.0. Based on the framework, a questionnaire survey targeting on 300 consumers of luxury hotels was conducted. The result showed that visual, olfactory, auditory, tactile and gustative are able to improve customer loyalty in luxury hotels effectively. Meanwhile, it also revealed that tactile (touch) marketing has the most remarkable impacts on the customer loyalty of luxury hotels, followed by visual, gustative, olfactory and sound marketing.
Application of Data Mining in English Online Learning Platform
Authors: Qu Weiwei 
Published: April 2021

Abstract
English is becoming more and more important in our life and English learning is also conducted anytime and anywhere. With high-tech products more and more popular, learning English through mobile phones and other products is very convenient. There are numerous platforms for English online learning, but they provide a very single learning content. All learners, no matter what their learning purposes are, have the same learning content, thus problems will follow. Based on the analysis of current situation, this paper puts forward solutions, case analysis and conclusion process. The application of data mining technology to English online learning platform provides 80% ideas for the construction of online learning platform. Statistics show that nearly 70 million people study online every year.
Using Various Data in the Internet Age to Study How Private Investment Can Promote High-Quality Economic Growth in Shaanxi
Authors: Luo Cui 
Published: April 2021

Abstract
Since the reform and opening up, with the gradual advancement of China’s economic system reform, China’s investment and financing system has been adjusted and reformed. With the advancement of investment commercialization, the growing investment sector that is increasingly visible to major players in the private capital market is expanding. Private capital is playing an increasingly important role in China’s economic development. Due to various reasons such as history and geography, the growth rate of private capital investment in Shaanxi Province, which is located on the bridge in the northwest, is significantly behind the eastern coastal provinces. Therefore, it compared the factors affecting private investment in Shaanxi Province and coastal provinces, sought out the gap in the development of private investment in the two provinces, and formulated measures to stimulate private investment enthusiasm in Shaanxi Province. It is not only the urgent need of Shaanxi’s economic development, but also the urgent need of our country. East and West need to develop in a balanced way. On this basis, this article selects Shaanxi and Zhejiang provinces for comparative analysis. Western private investment developed earlier and contained more theories, so this article first combed the theories related to Western private investment, and then briefly reviewed the development of private investment theory since the founding of the People’s Republic of China. Secondly, benchmark and analyze the private investment in the two provinces from three aspects: one is to benchmark and analyze the status quo of private investment in the two provinces. Compare the factors that affect investment. Finally, by consolidating the foundation of private investment development, encouraging private investment to participate in the urbanization of Shaanxi, establishing a diversified modern financial system, creating software and hardware suitable for private investment development, and relaxing investment fields to implement a fair market access system. Made policy recommendations. Through the research of this article, it is estimated that the economic growth rate of Shaanxi will reach 13%.
Toxicity of essential oils from orange (Citrus sinesis L. Obbeck) and lemongrass (Cymbopogon nardus L. Rendle) on Aedes aegypti a vector of Dengue Hemorrhagic Fever (DHF)
Authors: Kurniasih N , Nuryadin W , Harahap M N , Supriadin A , Kinasih I 
Published: April 2021

Abstract

Aedes aegypti mosquito is one of common vectors for the pathogens of different diseases like dengue hemmorrhagic fever. The most common approach to vector-borne disease is by chemical control, mostly through the use of insecticides. As compared to synthetic pesticides, essential oils (EOs) are ecologically safe, have no mammalian toxicity or the chances of development of resistance are reasonable and highly popular with the organic growers. This research has studied the larvacidal activity of essential oil from orange (Citrus sinesis L. Obbeck) and lemongrass (Cymbopogon nardus L. Rendle). Orange and lemongrass cleaned and cut into small pieces, dried and then blended to obtain crude drug samples. Samples distilled with the Stahl distillation method for 4 hours. Furthermore, terpenoids phytochemical test and test against larvae of Aedes aegypti larvicides to obtain the LC50 value. The yield of essential oil of orange (Citrus sinensis L Obbeck) obtained is 6.84%, while the essential oils of lemongrass (Cymbopogon nardus L. Rendle) was 0.96%. In the phytochemical test essential oils either of orange peel and lemongrass showed terpenoids. From the GCMS data, an essential oil from orange and lemongrass contain citronellal and limonene. Citronellal compound acts as an insecticide ingredient that works as an antifeedant and repellent. An essential oil from orange and lemongrass are toxic, with LC50 values obtained from lemongrass 35.133 ppm is smaller than the orange is 790.935 ppm. The essential oil of lemongrass more toxic than the essential oil of orange. Both of essential oils can be used as a green pesticide candidates.
Utilization of rabbit manure and biochar chicken manure and its effect on the growth and yield of pakchoy plants
Authors: Mesa I M , Situmeang Y P , Wirajaya A A N M , Udayana I G B , Yuliartini M S 
Published: April 2021

Abstract
This study aims to determine the effect of rabbit manure, biochar from chicken manure, and its interactions on the growth and yield of pakchoy plants. This study uses a randomized block design (RBD) with factorial patterns (2 factors). The first factor is the dose of rabbit manure which consists of 4 levels (0, 10, 20, and 30 tons ha−1). The second factor is the biochar dose of chicken manure consisting of 4 levels (0, 5, 10, and 15 tons ha−1). The results showed that the treatment of biochar dose of chicken manure and the treatment of interactions between the dose of rabbit manure and the biochar dose of chicken manure had no significant effect on all observed variables. The treatment of rabbit droppings did not significantly affect all observed variables, except that the fresh weight of the roots showed a real effect. Fresh weight of economic results in the application of rabbit manure 30 tons ha−1, gives a higher yield or an increase of 17.08% when compared to without rabbit manure. While the fresh weight of economic results on the application of biochar from chicken manure 30 tons ha−1 gave higher yields or increased by 23.86% compared to without biochar.
Antibacterial activity of Vitex trifolia methanol extract against pathogenic bacteria
Authors: Zulkifli L , Basri M H , Syukur A 
Published: April 2021

Abstract

Vitex trifolia (Legundi plants) is a plant that is widely used as an ingredient of traditional medicine in Lombok Island for a variety of microbial infections. In this study, a qualitative test of V. trifolia methanol extract was shown to contain secondary metabolites, such as steroids, saponins, alkaloids, flavonoids, terpenoids, and tannins. The inhibitory test of methanol extract of roots, stems and leaves of V. trifolia against pathogenic bacteria (Staphylococcus aureus, Staphylococcus epidermidis, Escherichia coli, and Klebsiella pneumoniae) has been carried out. The experimental design used was a Completely Randomized Design. The treatment factor was the concentration of methanol extract with 4 levels (C1 = 7.5%, C2 = 15%, C3 = 30%, C4 = 60%). The extraction method used was methanol maceration, and the well diffusion method was used in antibacterial activity assay. Data were analyzed by using Anova followed by DMRT test. Anova analysis results showed that differences in the concentration of methanol extract of leaf have a significant effect in inhibiting the growth of all tested bacteria. The DMRT showed that the best treatment was with 60% methanol extract. In this study, S. aureus was the most sensitive bacterium to V. trifolia methanol extract, compared to other test bacteria. It can be concluded that the methanol extract of V. trifolia is an effective antibacterial source, especially against S. aureus.
Photogrammetric stereo image rectification
Authors: Tjahjadi M E , Handoko F 
Published: April 2021

Abstract
Today, off-the-shelf digital cameras are hand on tools for conducting visual inspections in surveying and mapping related activities or in structural inspection of industrial objects. Dense point clouds of the inspected object surface are of typical data required and their accuracies are also become more demanding. Deriving these data are off particular interest of this paper instead we work on overlapping images for generating those ones. An imaging geometry of stereo images is exploited further to reveal some drawbacks of the normalized stereo imaging configurations. We utilize a photogrammetric collinearity condition to model physical reality of the imaging process. A sequence of coordinate axes rotations on both images is rearranged as well as preserving normalized images resolutions to be equal to the source ones. Also based upon the prescribed resolutions, an efficient indirect resample is performed to interpolate grey values of the warped images. To ascertain reliability of the mathematically developed method, C++ programming codes were written and implemented in the solution. It reveals that a nuisance such as y-parallax is completely eliminated. Therefore, by using our method, the normalized images can be used in the dense point clouds production in a high quality and efficiency.
Digitization of Takepan Sasak manuscipt based on the OPF flipbook
Authors: Samsu L M , Saiful M , Fathurrahman I , Bahtiar H 
Published: April 2021

Abstract
This study aims to preserve the Takepan Sasak manuscript, studied and known by the public. This study uses evaluative methods and Kvisoft Flipbook Maker software. The process stages consist of data collection, analysis, digitization, testing and experimentation, and evaluation. The results of this study are in the form of a Sasak Takepan Manuscript flipbook which is expected to be accessed by the public digitally in a 3-dimensional model.
Rapid identification of urban green space using Planetscope satellite image and artificial intelligence
Authors: Adhiwibawa M A S , Limantara L , Brotosudarmo T H P 
Published: April 2021

Abstract
Urban green open space is areas in a city or town filled with vegetation to support socio-ecological functions. These areas have increasingly threatened as a result of being converted to urban infrastructures. As an essential feature of city infrastructure, urban green space should be monitored according to the spatial plan of the city area. However, the space that has been assigned to the urban green space is not a match for its current use. One of the problems that caused urban green space usage mismatch is difficulties in identifying urban green space changes. Planetscope satellite imagery is a high-resolution satellite image that can be used to identify open green spaces in urban areas. In this research, we used an artificial intelligence method to develop a pixel classification process for accurate and efficient identification of the green open space. The results showed that Planetscope satellite imagery and artificial intelligence methods had 99% accuracy in monitoring green open spaces. The use of this technology can assist in the early detection of green open space changes effectively and efficiently.
The design of a letter archiving application using the Model View Controller (MVC) concept
Authors: Arianti B D D , Kuswanto H , Januari H A , Jamaluddin J 
Published: April 2021

Abstract
Letters are an essential means of communication in an institution or organization, and they are closely related to the times’ progress that cannot be abandoned, including today’s digital era. Based on observations, letter archiving at Hamzanwadi University is still conventional and not digitally recorded. So this research aims to design a letter archiving application by applying the Model View Controller (MVC) concept with a development model using ADDIE (Analysis, Design, Development, Implementation, and Evaluation). This Design consists of system architecture, flowchart, data flow diagram, and ERD.