With the rapid development of information technology, the industrial boundary is gradually blurred, and industrial cross-border integration brings new impetus for innovation development and value co-creation. High-tech industrial parks are characteri...
The servitization of manufacturing enterprises has two main directions: production servitization and product servitization. The value co-creation model describes the transformation process of servitization of manufacturing enterprises; it is far more...
This study explored the impact of network structure on conflict and project value creation. Network density and network centrality are two network structure dimensions. A survey was undertaken among professionals working in Chinese construction proje...
Urbanization in China has led to scarce urban land resources, rendering urban land redevelopment (ULR) crucial for achieving efficient and sustainable land allocation. ULR involves complex value exchanges among multiple stakeholders. Previous researc...
As the platformization of Crowd Intelligence Design (CID) advances and online collaboration deepens, crowd intelligence design platforms have evolved into digital ecosystems constituted by interactions between requesters and designers. Consequently,...
Based on the relevant data of joint investment from 2013 to 2017, this paper constructs a multivariate regression model, introduces the social network analysis method and the Bonacich Power Index to quantify the network attribute indicators of invest...
The dynamic development of spatial structures entails looking for new methods of spatial analysis. The aim of this article is to develop a new theory of space modeling of network structures according to six value aggregation paths: minimum and maximu...
In this era of vigorous satellite network development, the growing variety of satellite services is increasingly exacerbating the load imbalance problem in these networks. In this context, methods for accurately evaluating the responsibility value of...
The COVID-19 pandemic caused a boom in demand for personal protective equipment, or so-called “COVID-19 goods”, around the world. We investigate three key sectoral global value chain networks, namely, “chemicals”, “rubbe...
The value network of the high-tech park constitutes a value co-creation system where multiple entities facilitate knowledge transformation through interaction, thereby achieving collaborative innovation. The reasonable distribution of collaborative i...
Pollinating insects are the most important pollinators in nature; they pollinate vegetables, fruits, oil crops, and wild plants, so that crop yields can be increased, wild plants can live and reproduce, and human food security and ecosystem stability...
Compared with conventional trade networks, the global coal and oil value network provides deeper insights into the competitive capabilities of various countries in the industry. Hence, measuring the resilience of value networks can effectively reflec...
With the acceleration of the digital revolution and free trade, the producer services industry has become a new driving force for countries to enhance their global value chain (GVC). The further integration of GVCs has promoted the formation of a glo...
The structure of the network among firms participating in global value chains is an important factor in understanding the changes in China’s carbon emissions. This paper focuses on the interdependence between firms and the interconnected networ...
Investigating the spatial correlation characteristics and configurational pathways of ecological space service value (ESSV) is of importance for alleviating urban ecological pressure. This study, focusing on the northern slope of the Tianshan Mountai...
Control–value theory (CVT) proposes that discrete emotions arise from combinations of control–value appraisals of learning activities and outcomes. Studies have supported this proposition using factor analytic and latent profile, analyses...
We investigated competitive conditions in global value chains (GVCs) for a period of fifteen years (2000–2014), focusing on sector structure, countries’ dominance and diversification. For this purpose, we used data from the World Input&nd...
The rise of value networks in the new economic era and the emergence of a common competitive advantage pose enormous challenges to the value-added approach of enterprises based on traditional value chains. Based on the customer-centered concept, the...
In this study, we focus on resilience as the ability of specific infrastructure systems at the regional scale to absorb the shocks of extreme events, such as earthquakes. The occurrence of a disaster such as an earthquake leads to a rapid decrease in...
Agricultural Global Value Chains (GVCs) link input suppliers, primary production, processing, and consumption across borders but are increasingly exposed to upstream disruptions. This study develops a network-based Leontief framework to analyze inter...
The study of attack–defense game decision making in critical infrastructure systems confronting intelligent adversaries, grounded in complex network theory, has emerged as a prominent topic in the field of network security. Most existing resear...
As an important research direction of human–computer interaction technology, gesture recognition is the key to realizing sign language translation. To improve the accuracy of gesture recognition, a new gesture recognition method based on four c...
Wireless Sensor Networks (WSN) are of great current interest in the proliferation of technologies. Since the location of the sensors is one of the most interesting issues in WSN, the process of node localization is crucial for any WSN-based applicati...
Firms’ attention to physical climate risks arising from extreme weather events and long-term climate change has become a crucial strategic orientation that shapes how firms perceive, interpret, and respond to climate-related uncertainties. Howe...
Previous work has demonstrated that end-to-end neural sequence models work well for document-level event role filler extraction. However, the end-to-end neural network model suffers from the problem of not being able to utilize global information, re...
Arguably, the most fundamental problem in Network Science is finding structure within a complex network. Often, this is achieved by partitioning the network’s nodes into communities in a way that maximizes an objective function. However, findin...
13 October 2025
In the operational management of e-commerce platforms, online reviews and user feedback render the issue of anticipated product failure more transparent. The anticipated product failures are often negatively correlated with product quality, while rel...
In the field of single-image super-resolution reconstruction, GAN can obtain the image texture more in line with the human eye. However, during the reconstruction process, it is easy to generate artifacts, false textures, and large deviations in deta...
In recent times, investing in volatile security increases the risk of losses and reduces gains. Many traders who depend on these risks indulge in multiple volatility procedures to inform their trading strategies. We explore two models to measure the...
Neurons in the brain are interconnected through synapses. Local active memristors can both simulate the synaptic behavior of neurons and the action potentials of neurons. Currently, the hyperbolic tangent function-type memristors used for coupling ne...
The higher heating value (HHV) is the main property showing the energy amount of biomass samples. Several linear correlations based on either the proximate or the ultimate analysis have already been proposed for predicting biomass HHV. Since the HHV...
This study aims to construct a reduced thermodynamic cycle model with high accuracy and high model execution speed based on artificial neural network training for real-time numerical analysis. This paper proposes a method of constructing a fast avera...
Public authorities and consumers increasingly support food value chains that are more environmentally friendly. However, these value chains are faced with technical, economic and institutional limitations, calling into question their long-term viabil...
Recent literature has highlighted the critical issue of urban land value and cost; properly assessing land use costs, particularly for residential and commercial purposes, is crucial in influencing urban development and investments. Therefore, the ob...
In this paper, we propose a new approach to analyze financial contagion using a causality-based complex network and value-at-risk (VaR). We innovatively combine the use of VaR and an expected shortfall (ES)-based causality network with impulse respon...
As a new form of economic activity driven by data resources and digital technologies, the digital economy underscores the strategic significance of data as a core production factor. This growing importance necessitates accurate and robust valuation m...
Traditional numerical methods often provide local solutions for initial value problems of differential equations, even though these problems may have solutions over larger intervals. Current neural network algorithms and deep learning methods also st...
This article takes 57 listed financial institutions in China from 2014 to 2024 as the research sample. Combining extreme value theory and the TENET method, it constructs a tail risk spillover network and analyzes the network structure and relationshi...
With the rapid advance of digital technologies, the service industry has become a key driver of sustainable economic growth and the restructuring of international trade. Drawing on value-added trade flows for five pivotal service industries—con...
Many researchers have investigated the time-varying (TV) matrix pseudoinverse problem in recent years, for its importance in addressing TV problems in science and engineering. In this paper, the problem of calculating the inverse or pseudoinverse of...
The cause mechanism of collapse disasters is complex and there are many influencing factors. Convolutional Neural Network (CNN) has a strong feature extraction ability, which can better simulate the formation of collapse disasters and accurately pred...
Parameter estimation strategies have long been a focal point in research due to their significant implications for understanding data behavior, including the dynamics of big data. This study offers an advancement in these strategies by proposing an a...
The State of Charge (SOC) is a crucial parameter in battery management systems, making accurate estimation of SOC essential for adjusting control strategies in automotive energy management and ensuring the performance of electric vehicles. In order t...
Shared resources are common among supply chain partners and also occur in multiple linked stages of an internal network. The sharing of these resources impacts the organization’s profits. This study is focused on the potential benefits of resou...
The calorific value of coal is a key parameter for pricing, trade, and combustion management. Conventional bomb calorimetry provides accurate results but is time-consuming, labor-intensive, and destructive. Near-infrared (NIR) spectroscopy offers a r...
Addressing the challenges of high-dimensional redundancy, noise interference, and parameter missing in the net present value prediction of shale gas wells, an intelligent prediction model PCA-DFNN integrating Principal Component Analysis and Deep Fee...
The higher heating value (HHV) was an important factor for measuring the energy recovery price of sewage sludge, which was commonly determined by oxygen bomb calorimeter; however, there were problems of time consuming and high measurement cost. In th...
Global agricultural value chains (GVCs) face growing structural risks that threaten long-term sustainability, yet traditional methods often miss these systemic risks. Using complex network analysis and OECD data, this study examines the structural ri...
Due to the sweeping influence of capitalism, most food processing is now done through standardized production workflows in order to quickly replicate and churn out a large quantity of products. This has led to an increasing number of homogenized and...
The semiconductor industry is a pivotal hub in the global information sector, in which superpowers compete for technological dominance. As a strategic, leading, and foundational sector, it is vital for advancing China’s manufacturing ambitions...
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