In recent years, the regional GDP prediction has become an efficient tool to coordinate economic development. This paper aims to study the regional GDP prediction and build a novel machine learning model with taking the entropy method into consideration to predict the future GDP values. This research...

BIM technology is an active application and innovation of the new generation of information technology in the civil engineering industry, playing a positive role in project planning, design, construction, and operation maintenance.Numerical simulation technology can replace experiments, such as analyzing...

In order to stimulate the innovation vitality of young scientific and technological innovation talents in China, Application of PEST Analysis for Systematic Analysis of Youth Science and Technology Innovation Talent Cultivation in Shanghai: Construction of Cultivation Index Model. Empirical Study Using...

Local government fiscal revenue is the foundation and guarantee for the realization of government functions. Therefore, whether regional collaborative development policies can improve the level of local government fiscal revenue is an important basis for regions to respond to regional development policies....

This paper explored the colligation of “V + Reform” and the semantic prosody of “reform” in the corpus of Chinese Government Work Reports (GWRs) from 2013 to 2022 built with 146087 tokens, and then contrasted the results with those in American State of the Union Addresses (SOTUs) with the purpose of...

The comprehensive land reclamation of the whole area is a systemic project to improve the production, living conditions and ecological environment of rural areas, promote large-scale agricultural operations, concentrated population living and industrial development, and promote the process of urban-rural...

Uncertainty is a typical characteristic faced by enterprises. Institutional theory holds that uncertainty can help enterprises improve the value of fulfilling their social responsibilities. This paper discusses the conditions of the application of real option logic to corporate social responsibility...

The rapid development of the intelligent connected vehicle industry has led to a significant demand for talent. However, traditional teaching methods are unable to meet the requirements of actual job positions, posing challenges for vocational education institutions in cultivating intelligent connected...

Objective To construct a contradiction matrix for rule of law in drug safety governance, provide scientific tools for solving drug safety governance problems, and improve the level of rule of law in drug safety governance. Methods Firstly, the problems in the rule of law of drug safety governance were...

“Talent acquisition is the only route to innovation.” Enterprises’ ability to sustain innovation, preserve economic stability, and advance sustained social progress depends on their access to excellent talents. However, as the investment of enterprises shifts from the real economy to the virtual economy,...

As one of the main service objects of the government, market entities’ evaluation of government quality work is an important criterion for measuring the level of government quality work. Based on the perspective of market entities, this paper constructs an evaluation index system for government quality...

Using data of Chinese listed companies, this study investigates the determinants of corporate volunteering. We find that, based on "signal" and "reputation" motivation, corporate size has a significantly positive effect on corporate volunteering. Large companies are engaged in more...

Potassium is one of the three major nutrients (nitrogen, phosphorus, potassium) necessary for crop growth. Most of the potassium needed for crop growth is mainly provided by potassium fertilizer, which plays an irreplaceable role in promoting the development of food and agricultural production. This...

The high-time urgency of emergency decision-making for maritime hazardous chemicals accidents requires the content and form of this knowledge to be organized in a way that facilitates decision-makers to resolve crises in a timely and creative manner. This paper proposes a CIA-ISM-based method for extracting...

This paper aims to explore the application of greedy algorithm in enterprise management. By analyzing the characteristics and advantages of greedy algorithm, we propose an enterprise resource optimization management model based on greedy algorithm. The model takes the problem of enterprise resource allocation...

The increasing complexity of financial markets and the introduction of sophisticated products have amplified investment volatility and uncertainty. The present work introduces a general framework for addressing uncertainty in financial multi-stage planning problems. To solve this uncertainty quantification...

By analyzing and classifying a large amount of electricity marketing data, we aim to better understand user groups and market segmentation, and provide decision-making support for power companies or suppliers. Therefore, a parallel clustering method for Big data of power marketing based on DBIK means...

In recent years, knowledge graph has gradually developed from the traditional knowledge analysis application to the application of social entities and relationships. In this paper, the application of knowledge graph to sales data relationships is studied, and the data source is obtained by taking the...

The global economy is steadily rising, and the power industry is rapidly developing, leading to a significant increase in global electricity consumption. However, the difference between peak and off-peak electricity demand is becoming more pronounced, causing an imbalance in the supply-demand relationship....