Composition Analysis and Identification of Ancient Glass Products Based on L1 Regularization Logistic Regression

In view of the composition analysis and identification of ancient glass products, L1 regularization, K-Means cluster analysis, elbow rule and other methods were comprehensively used to build logical regression, cluster analysis, hyper-parameter test and other models, and SPSS, Python and other tools were used to obtain the classification rules of glass products under different fluxes, sub classification under different chemical compositions, hyper-parameter K value test and rationality analysis. Research can provide theoretical support for the protection and restoration of ancient glass relics.

Research on the Practice of Cross-Border E-Commerce Strategies: Taking Alibaba International Station as an Example

Currently,Alibaba International Station,as an emerging e-commerce platform in recent years,plays a crucial role in cross-border e-commerce trade.This article describes an overview of Alibaba International Station,as well as the methods of attracting traffic and some current problems encountered.Simultaneously,relevant suggestions are provided based on the problems.

Impact of IFRS adoption on accounting quality in European firms

In this paper it is examined whether firms following International Financial Reporting Standards （IFRS） exhibit higher accounting quality. While IFRS are supposed to improve international comparisons by harmonisation and definition of strong principles, Ball （2006） and Nobes （2006） were concerned about differences in the application of IFRS cross-countries and firms. Barth, Landsman ＆ Lang （2008） stated that the flexibility of principles- based International Accounting Standards （IAS） could create incentives for firms to manage earnings. This paper contributes to analyse the impact of IFRS on accounting quality for European firms. The findings show that for firms in the European Union （EU） IFRS produce a negative effect on accounting quality that continues after 2005, when IFRS becomes mandatory. By contrast, for European firms which are not EU members the IFRS adoption increases accounting quality. These results support the concerns about IFRS application and flexibility and indicate that accounting quality does not improve just because the adoption of IFRS is mandatory.

Accounting treatment and internal controls in financial shared services ofmultinational corporations

Financial shared services （FSS） play an important role in multinational corporations for the effective cost management. FSS also can reduce errors and fraud so as to achieve perfect internal controls by standardized and procedural business processes which are important parts of internal controls. This paper emphasizes on two popular procedures and methods in multinational corporations. One is balance sheet reconciliation. It can illustrate the situation of accounts on an accrual basis which are the focus of internal audit and external audit. The other is Interco-Sop （Intercompany-standard operating procedure） which are important for to ensure the accuracy and effectiveness of accounting system and internal controls.

Accounting Objectives and Reporting System Construction of Managerial Accounting in China

The purpose of this paper is to propose an innovation system of managerial accounting reports, which is actually on the basis of accounting objectives. On the one hand, as managerial accounting is one important branch of accounting(the other important branch is financial accounting), some of its characters should be closely connected with accounting. On the other hand, managers need managerial accounting information for enterprise operation(especially for internal management control) decisions, so, managerial accounting should also be in accordance with the enterprise's operation and its management control. Therefore, combined with the existed research of accounting(especially financial accounting research) and for the development requirement of Chinese enterprises, this paper will mainly discuss the relation between accounting objectives and managerial accounting's system and put forward an idea of constructing an applicable reporting system of managerial accounting based on the operation mode in Chinese modern enterprises. This study will develop the accounting reports research(including external reports and internal reports) both in the field of theory and that of practice.

The impact of carbon emissions trading policy on carbon emission efficiency in Chinese cities:Evidence from a quasi-natural experiment

Based on a panel dataset spanning from 2003 to 2019 and encompassing 284 prefecture-level cities in China,this study treats the implementation of the carbon emissions trading policy(CETP)as a quasi-natural experiment.In addition,it employs a spatial difference-in-differences(DID)framework to quantify both the direct and spatially mediated impacts of CETP on urban carbon emission efficiency(CEE).The investigation further delves into the underlying channels of influence and variations within this context.The findings demonstrate that CETP effectively enhances CEE within the cities chosen for piloting;however,it concurrently dampens CEE in nonpiloting neighboring cities.These conclusions remain robust across diverse sensitivity tests.The analysis of mechanisms reveals that CETP’s influence on urban CEE primarily operates through the avenues of technological innovation and optimization of energy structure.Moreover,the study of variances discloses that CETP’s direct effect significantly advances CEE in eastern,old industrial base,and central cities.In terms of indirect effects,a pronounced adverse spatial spillover effect is observed in eastern and old industrial base cities,while noteworthy positive spatial spillover effects emerge in central cities.Notably,the spatial extent of CETP’s influence on urban CEE declines after reaching a distance of 900 km.These insights furnish valuable guidance for China in refining its nationwide carbon market and expediting the shift toward a low-carbon economy.

Does the system of independent directors help improve the quality of accounting information： From the perspective of earnings conservatism

Based on the sample data of the listed firms on the A stock market, we analyze how the system of independent directors influence the earning conservatism from 4 dimensions designed to measure the monitoring power of these independent directors： Percentage within BDs, professional capacities, stimulation and work conditions. From the empirical results, we conclude that the more powerful of the independent directors, the better the accounting conservatism, and that their positive impact increases along with the improvement on corporate governance, meanwhile the work conditions plays the most important role, and then are the percentage within BDs and their professional capacities, the stimulation and personal reputation appear the least importance.

Major historical events affecting the accounting profession： An overview

The accounting result from science and technology innovation and the development of productivity, with management modes and financial reforms as its opportunity and the operation of international capital, as well as economic integration helping improve it. An invention, a president, the occurrence of an organization, a historical lesson may directly or indirectly change accounting regulations, and even trigger an accounting revolution. We will put a variety of significant impacts on an accounting, so as to get a fundamental understanding of the close relationship between such events and accounting events, including innovation of accounting theory, and accounting practice; we adopted the ＂table-style＂ form of papers, with many self-evident and intuitive tables, we compile a series of major historical events reasonably. Only in accordance with evolution of objective environment, can we design proper accounting practice, and thus innovate and develop accounting.

Revelation from the assurance engagements of the accounting industry in Japan

It is generally accepted that because of conflicts of interest, the public accounting firms provide auditing services combined with consulting services to their clients may be one of the main causes of financial reporting fraud. Separating the consulting services from the auditing services becomes a general trend at present. It is indispensable to determine the boundary of auditing and consulting, and simultaneously regulating the internal control within their respective fields. On the premise of transparency of financial information, the auditing service has been separated in some countries, in order to improve the credibility of accounting information. Relevant measures include measures conducted by the management officials to ensure the quality of financial report, enhancement of the responsibilities of the auditors, and the standard formulated by the government to evaluate the auditing process and auditing opinion. Statement on conceptual framework related to assurance engagement, proposed by the Japanese government （below called ＂statement proposed by the Japanese government for short）, which verifies the credibility of financial information, is an example of the above-mentioned trend. Compared with Japan, China has different regulations and laws in relation to the assurance engagement.

Research on Novel Paradigm of Contemporary Accounting Education based on Project Teaching Method and Feedback Teaching Mode

In this paper, we conduct analysis on the novel paradigm of the contemporary accounting education based on project teaching method and feedback teaching mode. Along with the deepening of the reform and opening up and further deepening of market economic system reform, especially after the world trade organization （WTO）. In our country made claim for the higher update accounting education career. How to further deepen the reform of the accounting education, further improve the quality of education is the current university education work is facing the urgent task. To deal with the challenges, we propose the novel paradigm and innovative methodology for the task based on the project teaching method and feedback teaching mode. We theoretically analyze the feasibility of the method and will verify the effectiveness in the further research.

The effect of overseas investors on local market efficiency:evidence from the Shanghai/Shenzhen–Hong Kong Stock Connect

Using a recent stock market liberalization reform policy in China—the Stock Connect—as a quasi-natural experiment,this study examines the effect of stock market liberalization on market efficiency.Employing a dataset of 17,086 Chinese listed firms covering 2009 to 2018,we find that stock market liberalization improves the market efficiency of the Chinese mainland stock market.We further explore the potential channels through which the Stock Connect can enhance the efficiency of the A-share(A-shares refer to shares issued by Chinese companies incorporated in China's Mainland,traded in the Shanghai Stock Exchange and the Shenzhen Stock Exchange.They are denominated in Chinese RMB(the local currency).A-shares were restricted to local Chinese investors before 2003,are open to foreign investors via the Qualified Foreign Institutional Investor,RMB Qualified Foreign Institutional Investor,or the Stock Connect programs.)market.The findings show that liberalizing capital markets could benefit local market efficiency by increasing stock price informational efficiency and improving corporate governance quality.The additional analysis shows that stock market liberalization has a significant and positive impact on local market efficiency,enhancing firm value and reducing stock crash risk.We conduct various robustness checks to corroborate our findings.This study provides important policy implications for emerging countries liberalizing capital markets for foreign investors.

Analysis on Green Accounting Information Disclosure of Chemical Enterprises Under Low-Carbon Economy

In the current era of low-carbon economy,environmental governance and energy conservation have become major issues,in which chemical enterprises with high pollution and consumption have naturally attracted much attention.The disclosure of green accounting information is indispensable to the continuous development of chemical enterprises and even the whole society.Therefore,based on existing research results,this paper analyzes the existing problems and causes of green accounting information disclosure of chemical enterprises in China under low-carbon economy,and puts forward suggestions for solutions.

Governance of artificial intelligence applications in a business audit via a fusion fuzzy multiple rule‑based decision‑making model

A broad range of companies around the world has welcomed artificial intelligence(AI)technology in daily practices because it provides decision-makers with comprehensive and intuitive messages about their operations and assists them in formulating appropriate strategies without any hysteresis.This research identifies the essential components of AI applications under an internal audit framework and provides an appropriate direction of strategies,which relate to setting up a priority on alternatives with multiple dimensions/criteria involvement that need to further consider the interconnected and intertwined relationships among them so as to reach a suitable judgment.To obtain this goal and inspired by a model ensemble,we introduce an innovative fuzzy multiple rule-based decision making framework that integrates soft computing,fuzzy set theory,and a multi-attribute decision making algorithm.The results display that the order of priority in improvement—(A)AI application strategy,(B)AI governance,(D)the human factor,and(C)data infrastructure and data quality—is based on the magnitude of their impact.This dynamically enhances the implementation of an AI-driven internal audit framework as well as responds to the strong rise of the big data environment.Highlights Artificial intelligence(AI)promotes the sustainability development of audit tasks.A fuzzy MRDM model extracts key factors from large amounts of data.Fuzzy decision-making trial and evaluation laboratory analysis accounts for dependence and feedback among factors.An effective framework of AI-driven business audit is proposed in which“AI cognition of senior executives”is the most important criterion.

Management Results and Financial Status of Rural Collective Economy under the Background of Rural Revitalization

Based on the analysis of financial statements,the performance and problems of rural collective economic organizations in their business activities were analyzed.It is believed that rural collective economy was developing continuously in a good way,with strong debt paying ability,but the operation ability and management efficiency need to be further improved.The operation was too conservative,and the asset utilization efficiency and profitability were weak.There were many unnecessary liabilities,and they developed mainly relying on their own accumulation.Therefore,it is proposed to crack the"talent dilemma"of rural collective economic operation and management,straighten out and clarify the relationship between rural collective economic organizations and villagers self-governing organizations,correctly handle the relationship between collective accumulation and member distribution,adhere to the financial input of blood replenishment and transfusion,and make liabilities reasonable according to the management development.

Application of Vortex Generators to Remove Heat Trapped in Closed Channels

The utilization of vortex generators to increase heat transfer from cylinders installed inside a duct is investigated.In particular,a channel containing eight cylinders with volumetric heat sources is considered for different values of the Reynolds number.The effective possibility to use vortex generators with different sizes to increase heat transfer and,consequently,reduce the surface temperature of the cylinders is examined.Also,the amount of pressure drop inside the channel due to the presence of vortex generators is considered and compared with the cases without vortex generators.The results show that although the addition of generators increases the pressure drop,it strongly contributes to increase the heat transfer coefficient inside the duct(up to 80–90%).

Optimal Portfolio Selection with Delay under the Framework of Uncertainty Theory

This study focuses on investigating the optimal investment strategy for an optimization problem with delay using the uncertainty theory. The financial market is composed of a risk-free asset and a risk asset with an uncertain price process described by an uncertain differential equation. An optimization problem is assumed that its objective is a nonlinear function of decision variable. By deriving the equation of optimality, an analytical solution is obtained for the optimal delay investment strategy, and the optimal delay value function. Finally, an economic analysis and numerical sensitivity analysis are conducted to evaluate the research results.

Construction and Optimization of a Financial Early Warning System Based on Big Data and Deep Learning Technology

New technologies such as big data,artificial intelligence,mobile internet,cloud computing,Internet of Things,and blockchain have brought about significant changes and development in the financial industry.Predicting the financial situation of enterprises,reducing the probability of uncertainty risks,and reducing the likelihood of financial crises have become important issues in enterprise financial crisis warning.In view of the issues in enterprise financial early warning systems such as lag,low accuracy,and high warning costs in data analysis,a financial early warning system based on big data and deep learning technology has been established,taking into account the different situations of listed and non-listed companies.This carries significance in improving the accuracy of enterprise financial early warning and promoting timely and effective decision-making.

Depressive semantic awareness from vlog facial and vocal streams via spatio-temporal transformer

With the rapid growth of information transmission via the Internet,efforts have been made to reduce network load to promote efficiency.One such application is semantic computing,which can extract and process semantic communication.Social media has enabled users to share their current emotions,opinions,and life events through their mobile devices.Notably,people suffering from mental health problems are more willing to share their feelings on social networks.Therefore,it is necessary to extract semantic information from social media(vlog data)to identify abnormal emotional states to facilitate early identification and intervention.Most studies do not consider spatio-temporal information when fusing multimodal information to identify abnormal emotional states such as depression.To solve this problem,this paper proposes a spatio-temporal squeeze transformer method for the extraction of semantic features of depression.First,a module with spatio-temporal data is embedded into the transformer encoder,which is utilized to obtain a representation of spatio-temporal features.Second,a classifier with a voting mechanism is designed to encourage the model to classify depression and non-depression effec-tively.Experiments are conducted on the D-Vlog dataset.The results show that the method is effective,and the accuracy rate can reach 70.70%.This work provides scaffolding for future work in the detection of affect recognition in semantic communication based on social media vlog data.

Digital Transformation and Corporate Financial Risk:Evidence from Listed Companies in

As a core issue in enterprise operation management,corporate financial risk is directly related to the survival and development of enterprises,and digital transformation has brought new challenges to the control of corporate financial risk.Based on the data of The Shanghai Stock Exchange(SSE)and Shenzhen Stock Exchange(SZSE)from 2009 to 2022,this paper analyzes the impact of digital transformation on corporate financial risk and the impact mechanism.The empirical study finds that digital transformation significantly increases the financial risk of enterprises,and shows differences among different regions,different risk factors,and enterprise natures,and substantially increases the corporate financial risk in the East and West,non-state-owned enterprises,high-risk and low-risk enterprises.The mechanism analysis found that digital transformation would affect the financial risk of enterprises by increasing their R&D investment and reducing their debt level.The conclusion improves insights and guidance for analyzing and managing financial risks in enterprises under digital transformation.