Application of Fuyang Paper Cutting Art in Cultural and Creative Design from the Perspective of Rural Revitalization

The application significance of Fuyang paper cutting art in cultural and creative design from the perspective of rural revitalization was discussed,and the implementation principles and specific practices of applying the elements and techniques of Fuyang traditional paper cutting art in cultural and creative products with local features were analyzed to provide reference for rural revitalization and development of cultural industry.

Data Scale, Data Scope and Platform Enterprise Performance: Insights from Digital Platform M&As

Data is a key asset for digital platforms,and mergers and acquisitions(M&As)are an important way for platform enterprises to acquire it.The types of data obtained from intra-industry and cross-sector M&As differ,as does the extent to which they interact within or between platforms.The impact of such data on corporate market performance is an important question to consider when selecting strategies for digital platform M&As.Based on our research on advertising-driven platforms,we developed a two-stage Hotelling game model for comparing the market performance effects of intra-industry M&As and cross-sector M&As for digital platforms.We carried out an empirical test using relevant data from advertising-driven digital platforms between 2009 and 2021,as well as a case study on Baidu’s M&A activities.Our research discovered that intra-industry M&As driven by“data economies of scale”and cross-sector M&As driven by“data economies of scope”are both beneficial to the market performance of platform enterprises.Intra-industry M&As have a more significant positive effect on the market performance of platform enterprises because the same types of data are easier to integrate and develop the“network effect of data scale”.From a data factor perspective,this paper reveals the inherent economic logic by which different types of M&As influence the market performance of digital platforms,as well as policymaking recommendations for all digital platforms to select M&A strategies based on data scale,data scope,and the network effect of data.

Research on the Association of Mobile Social Network Users Privacy Information Based on Big Data Analysis

The issue of privacy protection for mobile social networks is a frontier topic in the field of social network applications.The existing researches on user privacy protection in mobile social network mainly focus on privacy preserving data publishing and access control.There is little research on the association of user privacy information,so it is not easy to design personalized privacy protection strategy,but also increase the complexity of user privacy settings.Therefore,this paper concentrates on the association of user privacy information taking big data analysis tools,so as to provide data support for personalized privacy protection strategy design.

Impact of Electricity Shortages on Productivity: Evidence from Manufacturing Industries

Electricity shortages present a significant constraint on manufacturers,who rely on electricity as an important input into production.In China,electricity supply has been growing rapidly.However,the rapid industrialization sometimes makes the power supply still unable to meet the demand.Using a survey of 1673 Chinese manufacturing firms,this paper explores how firms response to electricity shortages and its impact on productivity.We find that self-generation of electricity and investment in Research and Development(R&D)have significant positive relationships with electricity shortages.Further investigations reveal that self-generation is the most common way to deal with electricity shortages.However,it aggravates productivity loss.Though investment in Research and Development can promote productivity,it cannot offset the negative impact of electricity shortages on productivity.Analyses on subsamples show heterogeneity in the impacts of electricity shortages across firms.In particular,large firms are more inclined to invest in R&D than small and medium-sized firms are.They are also the one who suffer significant productivity loss due to self-generation of electricity.Though it is possible for medium-sized firms to reduce productivity loss through R&D,they are not likely to invest in R&D as a response to electricity shortages.This study illustrates that firms can hardly have effective solutions to electricity shortages,and policy makers should take great efforts to increase electricity supply.

Research on the Problems and Governance of Live E-commerce Based on Blockchain Technology

With the advent of the digital age,new e-commerce formats emerge one after another.As a new mode of e-commerce,live e-commerce plays an important role in helping economic development and increasing social welfare.Based on the current research situation of live broadcast e-commerce,this paper analyzes the problems of irregular behavior and ineffective supervision in the operation of live broadcast e-commerce,and puts forward that the government should strengthen the legislation of live broadcast e-commerce and rationally use blockchain to provide technical support to the government and regulatory agencies,aiming at standardizing the behavior of live broadcast e-commerce and promoting the sound development of live broadcast e-commerce.

Comparative analysis of habitation behavioral patterns in spatial configuration of traditional houses in Anhui;Jiangsu;and Zhejiang provinces of China

This study investigated the categories of spatial characteristics of traditional houses in Anhui,Jiangsu,and Zhejiang provinces of China by applying syntactic theories and conducting a comparative analysis of their different layout configurations.Six houses in the three provinces were selected as measurement samples,and statistical analysis of their spatial variables was conducted through SPSS 22.Results showed that the correlation of depth and integration in the Zhejiang and Jiangsu samples are negative,whereas the samples in Anhui show no correlation.These results further indicated that spaces with high rates of utilization in Zhejiang and Jiangsu dwellings are located at low depths in the spatial configurations,whereas the samples from Anhui show opposite findings.Different housing spatial structures reflect various habitation behavioral patterns in this area.Zhejiang and Jiangsu residents interact more closely with outside spaces in their daily lives,whereas Anhui residents have very limited interaction with outside spaces,thereby reflecting two different modes of living behavior,namely,extroversion and introversion.

Influence of built environment and user experience on the waterfront vitality of historical urban areas: A case study of the Qinhuai River in Nanjing, China

Urban waterfronts are important gateways that reflect a city’s image and characteristics.Evaluating waterfront vitality and its influencing factors is critical for guiding urban waterfront planning and redevelopment.Hourly human movement data,provided by the Baidu Heatmap,were used to explore the weekday and weekend urban vitality spatial distribution characteristics of the waterfronts of the Qinhuai River in Nanjing.Global(ordinary least squares)and local(multiscale geographically weighted regression)models revealed the influence of physicaleenvironmental characteristics(objective)and spatial experience evaluation factors(subjective)on urban vitality.(1)The Qinhuai River waterfront urban vitality agglomeration characteristics were similar between weekdays and weekends,and the core vitality areas were distributed in the dense tourism,commercial,and residential areas along the river.(2)The evaluation of catering experience had the strongest positive correlation with vitality,whereas the waterfront distance had the strongest negative correlation.(3)The influence of each factor on waterfront vitality in the study area exhibited considerable spatial differences,with attenuation trends observed from the east-to-west river sections.This study shows the urban vitality distribution characteristics of the Qinhuai River waterfront spaces.Exploring the influence of physicaleenvironmental and spatial evaluation factors on the vitality distribution can provide a scientific basis and reference for urban waterfront planning and redevelopment focusing on cultivating vitality.

Principal Model Analysis Based on Bagging PLS and PCA and Its Application in Financial Statement Fraud

Motivated by the Bagging Partial Least Squares(Bagging PLS)and Principal Component Analysis(PCA)algorithms,a novel approach known as Principal Model Analysis(PMA)method is introduced in this paper.In the proposed PMA algorithm,the PCA and the Bagging PLS are combined.In this method,multiple PLS models are trained on sub-training sets,derived from the training set using the random sampling with replacement approach.The regression coefficients of all the sub-PLS models are fused in a joint regression coefficient matrix.The final projection direction is then estimated by performing the PCA on the joint regression coefficient matrix.Subsequently,the proposed PMA method is compared with other traditional dimension reduction methods,such as PLS,Bagging PLS,Linear discriminant analysis(LDA)and PLS-LDA.Experimental results on six public datasets demonstrate that our proposed method consistently outperforms other approaches in terms of classification performance and exhibits greater stability.Additionally,it is employed in the application of financial statement fraud identification.PMA and other five algorithms are utilized to financial statement fraud which concerned by the academic community,and the results indicate that the classification of PMA surpassed that of the other methods.

Efficiency Analysis of Industrial Water Treatment in China Based on Two-stage Undesirable Fixed-sum Output DEA Model

China is a country with the most water consumption, so it is lack of water resources.Industry has brought serious water pollution while driving economic development, which leads to the destruction of ecological environment. With the improvement of environmental awareness, many scholars have shifted their research direction to how to improve the ecological environment. Most studies consider the whole system as a "black box", regardless of its internal structure. Therefore, a method to identify inefficiency is necessary and some suggestions for optimization are given. In this paper,a two-stage undesirable fixed-sum output data envelopment analysis(DEA) model is proposed. The industrial chemical oxygen demand(COD) emission during 2011–2015 are adjusted, and the efficiency values are calculated by heuristic search algorithm. The efficiency of 30 provinces and cities is divided into eastern, central and western regions. The model can identify the inefficient stage in industrial system, and find the source of low efficiency in the system. The analysis shows that the efficiency of eastern region is the highest, while the overall efficiency is inclined to the pollutant treatment stage.Finally, the paper puts forward some suggestions for the low efficiency areas, which can save water while ensuring economic benefits, and provide new direction for water pollution reduction and improve the ecological environment.

Prediction of Shanghai Stock Index Based on Investor Sentiment and CNN-LSTM Model

In view of the breakthrough progress of the depth learning method in image and other fields,this paper attempts to introduce the depth learning method into stock price forecasting to provide investors with reasonable investment suggestions.This paper proposes a stock prediction hybrid model named ISI-CNN-LSTM considering investor sentiment based on the combination of long short-term memory(LSTM) and convolutional neural network(CNN).The model adopts an end-to-end network structure,using LSTM to extract the temporal features in the data and CNN to mine the deep features in the data can effectively improve the prediction ability of the model by increasing investor sentiment in the network structure.The empirical part makes a comparative experimental analysis based on Shanghai stock index in China.By comparing the experimental prediction results and evaluation indicators,it verifies the prediction effectiveness and feasibility of ISI-CNN-LSTM network model.

Iterative methods for nonlinear equations and their semilocal convergence

We are concerned with the numerical methods for nonlinear equation and their semilocal convergence in this paper.The construction techniques of iterative methods are induced by using linear approximation,integral interpolation,Adomian series decomposition,Taylor expansion,multi-step iteration,etc.The convergent conditions and proof methods,including majorizing sequences and recurrence relations,in semilocal convergence of iterative methods for nonlinear equations are discussed in the theoretical analysis.The majorizing functions,which are used in majorizing sequences,are also discussed in this paper.

Bifurcation method for solving multiple positive solutions to Henon equation

Three algorithms based on the bifurcation method are applied to solving the D4 symmetric positive solutions to the boundary value problem of Henon equation. Taking r in Henon equation as a bi- furcation parameter, the D4-Σd(D4-Σ1, D4-Σ2) symmetry-breaking bifurcation points on the branch of the D4 symmetric positive solutions are found via the extended systems. Finally, Σd(Σ1, Σ2) sym- metric positive solutions are computed by the branch switching method based on the Liapunov-Schmidt reduction.

Hollow spheres self-assembled by MoO_(2) nanocones as highly sensitive substrate for Surface-Enhanced Raman Spectroscopy

Surface-Enhanced Raman Spectroscopy attracts great interests for its ability to detect a variety of molecules at trace level.However,the commonly used noble metal substrates suffer from high cost,poor biocompatibility and inferior stability.Some oxides have the potential to substitute for noble metal and much effort has been made to improve their performance.In this paper,MoO_(2) nanocones were prepared and self-assembled into hollow spheres.The structure exhibits an enhancement factor(EF)of 3×10_(7) and a limit of detection(LOD)of 10^(-9) M for Rhodamine 6G(R6G).This performance is among the best of all the oxides and is comparable to that of Au and Ag.The morphology control of hollow MoO2 sphere was also discussed.