Investigation of Separating Temperature-Induced Structural Strain Using Improved Blind Source Separation (BSS) Technique.

The strain data acquired from structural health monitoring (SHM) systems of large-span bridges are often contaminated by a mixture of temperature-induced and vehicle-induced strain components, thereby complicating the assessment of bridge health. Existing approaches for isolating temperature-induced strains predominantly rely on statistical temperature-strain models, which can be significantly influenced by arbitrarily chosen parameters, thereby undermining the accuracy of the results. Additionally, signal processing techniques, including empirical mode decomposition (EMD) and others, frequently yield unstable outcomes when confronted with nonlinear strain signals.

Enhancing Efficiency in Trustless Cryptography: An Optimized SM9-Based Distributed Key Generation Scheme.

Intelligent systems are those in which behavior is determined by environmental inputs, and actions are taken to maximize the probability of achieving specific goals. Intelligent systems are widely applied across various fields, particularly in distributed intelligent systems. At the same time, due to the extensive interaction with user data, intelligent systems face significant challenges regarding security.

User Real Comments Incentive Mechanism Based on Blockchain in E-Commerce Transactions-A Tripartite Evolutionary Game Analysis.

In response to the widespread issue of fake comments on e-commerce platforms, this study aims to analyze and propose a blockchain-based solution to incentivize authentic user feedback and reduce the prevalence of fraudulent reviews. Specifically, this paper constructs a tripartite evolutionary game model between sellers, buyers, and e-commerce platforms to study the real comment mechanism of blockchain. The strategy evolution under different incentive factors is simulated using replication dynamic equation analysis and Matlab software simulation.

Intellectual capital, environment-related absorptive capacity and environmental performance: Firm-level evidence from China's E&E sector.

Much of the existing literature on environmental performance has focused on human capital and intangible assets such as environmental policies and strategies, the role of intellectual capital has largely been overlooked. This study aims to investigate the impact of intellectual capital on environmental performance at the firm level, specifically in the electrical and electronics (E&E) sector in China. By considering human, relational, and structural capital as integral elements of intellectual capital, we assess their direct influence on environmental performance and explore how these components interact with other factors in driving environmental outcomes.

TiSquantum dots composite carbon nanotubes aerogel with electromagnetic interference shielding effect.

Titanium disulfide quantum dots (TiSQDs) has garnered significant research interest due to its distinctive electronic and optical properties. However, the effectiveness of TiSQDs in electromagnetic interference (EMI) shielding is influenced by various factors, including their size, morphology, monodispersity, tunable bandgap, Stokes shift and interfacial effects. In this study, we propose a systematic approach for the synthesis of TiSQDs with small size (3.

Domain adaptation spatial feature perception neural network for cross-subject EEG emotion recognition.

Emotion recognition is a critical research topic within affective computing, with potential applications across various domains. Currently, EEG-based emotion recognition, utilizing deep learning frameworks, has been effectively applied and achieved commendable performance. However, existing deep learning-based models face challenges in capturing both the spatial activity features and spatial topology features of EEG signals simultaneously.

Can climate literacy decrease the gap between pro-environmental intention and behaviour?

Given the increasing intensity of climate change, members of the public perceive its occurrence and participate in pro-environmental behaviours (PEBs) that are expected to alleviate severe climate situations. Related scholarship has paid much attention to how determining factors affect public actions and proven the gaps between pro-environmental behavioural intentions (PEBIs) and PEBs, but little research has focused on strategies to bridge the intention-behaviour gap. Hence, this study explores the influence of climate change perception (CCP) on PEBs and the role of climate literacy (CL) in addressing the gap.

Study protocol: A national cross-sectional study on psychology and behavior investigation of Chinese residents in 2023.

Introduction: This study protocol specifies the primary research line and theoretical framework of the 2023 Survey of the Psychology and Behavior of the Chinese Population. It aims to establish a consistent database of Chinese residents' psychological and behavioral surveys through multi-center and large-sample cross-sectional surveys to provide robust data support for developing research in related fields. It will track the public's physical and psychological health more comprehensively and systematically.

Forecast of total health expenditure on China's ageing population: a system dynamics model.

Background: China is currently at a turning point as its total population has started to decline, and therefore faces issues related to caring for an ageing population, which will require an increase in Total Health Expenditure (THE). Therefore, the ability to forecast China's future THE is essential.

Methods: We developed two THE System Dynamics (SD) models using Stella Architect 3.

Environmental regulation and corporate exports: Quasi-experimental evidence from China's environmental protection tax law.

How can we create a dual benefit scenario that improves both the ecological environment and export performance? This study aims to investigate whether the introduction of the Environmental Protection Tax Law (EPTL) has promoted the growth of corporate export. By treating the formal implementation of China's EPTL on January 1, 2018, as an exogenous economic event, this paper takes A-share listed companies in China from 2013 to 2022 as a sample and uses the Difference-in-Differences (DID) model to analyze the specific effects of the EPTL on corporate exports. The results indicate that the EPTL improves corporate exports significantly.

Development and Validation of the Resident Healthcare-Seeking Culture Scale (RHCS) Among Chinese Demographics in the Community Setting.

Objective: This study aimed to develop a measurement scale with good reliability and validity to assess the reasonableness of resident healthcare-seeking culture.

Methods: This investigation utilized a cross-sectional research design, employing a multi-stage random sampling technique to select adult inhabitants aged eighteen and above who possess fundamental literacy abilities. An online survey was conducted from March to April 2021 across 27 provinces in China, encompassing 911 questionnaires for scale development.

Exploring linguistic features and user engagement in Chinese online mental health counseling.

With the popularity of online mental health platforms, more individuals are seeking help and receiving social support by openly discussing their problems. Therefore, it's crucial to gain a deeper understanding of which problem disclosures and social support on these platforms can attract more user attention and engagement. Previous research has primarily focused on social media forums.

The relationship between physical activity and psychological sub-health among high altitude region Tibetan college students.

Background: The reduction in moderate to vigorous physical activity (MVPA) and the increased prominence of psychological sub-health (PSH) have had a serious negative impact on the health of Tibetan college students. Few studies have been conducted on college student populations at high altitude region in China. Therefore, the study investigated MVPA and PSH in 8721 Tibetan college students to analyze the relationship that exists between them.

The impact and mechanism of E-commerce of agricultural products on nongrain production of cultivated land in rural China.

Improving China's grain production level is conducive to achieving the sustainable development goal of zero hunger worldwide by 2030. As an important innovation in sales channels, e-commerce of agricultural products (EAP) directly affects grain production. However, no study has directly discussed the impact and mechanism of EAP on nongrain production of cultivated land (NGPL).

Unpacking greenwashing: The impact of environmental attitude, proactive strategies, and network embeddedness on corporate environmental performance.

Though there are considerable attention given to the consequences of greenwashing, however companies efforts to reduce greenwashing is still underexplored. Beside mounting pressures of stakeholders asking firms to revise their environmental orientation in order to reduce perceived greenwashing. Hence, the purpose of current study is to examine the impact of firms' environmental attitude, proactive environmental strategy, and network embeddedness on corporate environmental performance through perceived greenwashing.

Factors driving the acceptance of COVID-19 pandemic mobile contact tracing apps: The influence of security and privacy concerns.

The acceptance of COVID-19 mobile contact tracing apps (MCTA) is crucial to curb the spread of the virus and decrease the number of infections. However, the security and privacy concerns (SPC) of COVID-19 MCTA have been called into question. Thus this paper examines the drivers of the acceptance of the COVID-19 pandemic MCTA under the auspices of the influence of SPC from the Chinese perspective based on the modified Unified Theory of Acceptance and Usage of Technology (UTAUT) model.

How does company misconduct affect company survival risk?-evidence from China.

Based on the data of China's listed companies from 2000 to 2022, this study investigates how company misconduct affect company survival risk through survival analysis. The research results show that company misconduct significantly increases company survival risk. After considering endogeneity issues and conducting robustness tests, this conclusion still holds.

Towards a unified test for the intercept of autoregressive models.

It has long been an open problem to provide a unified test for the intercept of autoregressive (AR) models. In this paper, we use the empirical likelihood method to solve this issue. It turns out that the resulting test statistic always converges in distribution to a standard chi-squared distribution under the null hypothesis, whether the AR process is stationary or nonstationary, and with or without an intercept.

Efficient Removal of Cationic Dye by Biomimetic Amorphous Calcium Carbonate: Behavior and Mechanisms.

The search for efficient, environmentally friendly adsorbents is critical for purifying dye wastewater. In this study, we produced a first-of-its-kind effective biomimetic amorphous calcium carbonate (BACC) using bacterial processes and evaluated its capacity to adsorb a hazardous organic cationic dye-methylene blue (MB). BACC can adsorb a maximum of 494.

Impact of Hofstede's cultural dimensions on sustainable competitive advantage: The mediating role of entrepreneurial innovativeness among Malaysian ethnic entrepreneurs.

This study investigated the impact of Hofstede cultural dimensions on sustainable competitive advantage with the mediating role of entrepreneurial innovativeness among Malays, Malaysian Chinese, and Malaysian Indian entrepreneurs in the retail industry. This study involved a quantitative approach with standardized questionnaires distributed among target respondents through non-probability sampling techniques, including snowball sampling, quota sampling, and convenience sampling. The data were collected in a cross-sectional setting from Malaysian retail ethnic entrepreneurs.