Dynamic analysis and optimal control of competitive information dissemination model.

Information dissemination is vital to human production and life. Identifying and analyzing the modes and mechanisms of information dissemination under different conditions is conducive to playing the role of positive information and reducing the impact of negative information. Considering that multiple pieces of information coexist and conflict with each other, in this paper, a competitive information dissemination model is established and the proposed system is analyzed.

System dynamics modeling of collaborative governance in smart cities: a case study of Dongguan, China.

The smart city, characterized by its complexity and expansiveness, entails intricate collaborative governance processes involving a multitude of elements. We have established a smart city collaborative governance system and formulated a system dynamics model based on the interaction dynamics among the internal elements of the collaborative governance subsystems: the subject, object, and environment. Policy adjustment variables were carefully selected to simulate six policy combination scenarios, illustrating the developmental trajectory of Dongguan City's smart city collaborative governance system from 2015 to 2030, within the context of various policy paradigms.

Exploring pathways to digital transformation: fsQCA analysis based on the AMO framework.

In recent years, China has significantly increased its global competitiveness in digital technologies, emphasizing the importance of the digital economy during the high-quality development stage. The question of how firms in traditional industries can achieve digital transformation, which is critical for participating in the digital economy, is still understudied. Using the ability-motivation-opportunity (AMO) framework, this research developed a model and identified six factors' ability, motivation, and opportunity dimensions.

Psychological empowerment and challenge-oriented organizational citizenship behavior: a dual process model.

Introduction: Encouraging proactive behavior among employees is a crucial pathway for companies to adapt swiftly and gain a competitive edge. In contrast to other forms of organizational citizenship behavior that tend to preserve existing work practices within the organization, Challenge-Oriented Organizational Citizenship Behavior (COCB) aims to improve upon these by offering constructive suggestions and altering employees' work methods, policies, and procedures for the benefit of the organization. However, not all employees are willing to engage in COCB, even when the organization actively encourages participation.

Analysis of the dynamic evolution of green technology innovation decision-making in the supply chain.

Green technology innovation (GTI) breaks the vicious cycle of "economic development-environmental pollution," mitigating the supply chain carbon emissions. Previous research focused on exploring supply chain GTI decision-making in the discrete strategy space and ignored the effect of stochastic factors. This paper, grounded in the classical evolutionary game theory, explores the interaction mechanism of supply chain GTI decision-making between suppliers and manufacturers under stochastic interferences and in the continuous strategy space.

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.

Enabling emergency production shifting: The value of blockchain in supply chain resilience confronting COVID-19.

Nowadays, factories located in COVID-19 infected countries/regions are facing random outbreaks. If blockchain is adopted, then the outbreaks can be known immediately and emergency production shifting can be enabled, although high crash cost will be incurred. Otherwise, production delay will become inevitable.

The relationship between long COVID, labor productivity, and socioeconomic losses in Japan: A cohort study.

Objectives: We examined shifts in labor productivity and their economic ramifications among adult patients with long COVID in Japan.

Methods: A total of 396 patients were categorized into three groups based on symptom progression: non-long COVID, long COVID recovered, and long COVID persistent. Patient-reported outcomes were assessed at three time intervals: 3, 6, and 12 months after COVID-19 diagnosis.

From tradition to smart: A comprehensive review of the evolution and prospects of land use planning tools.

Land use planning tools are essential for effective land management. However, existing research has not thoroughly explored the evolution and future potential of these tools. This study addresses this gap through comprehensive literature review and data collection, mapping the progression of land use planning tools from their inception to their future trajectories.

Organizational on-boarding practices and shifts in alcohol misuse among at-risk college recruits.

With a significant proportion of college students in many countries engaging in risky drinking behavior, this study examines the tendency of such young adults to 'mature out' of such behavior in their first year of employment after graduating, and the degree to which three mainstream organizational on-boarding experiences may expedite such 'maturing out'. Focusing on newcomers' experiences with alcohol-oriented job orientation, job empowerment, and organizational efforts to facilitate the development of supportive peer relationships, we test hypotheses regarding the direct effects of time on the change in alcohol misuse among those reporting misuse in college, as well as the degree to which individual on-boarding experiences account for the variance in young adults' maturing out trajectories over the course of their first year of employment. Findings generated from data collected from over 400 young adults over multiple waves offer important theoretical and practical implications regarding how and why particular onboarding tactics may be more or less effective in influencing newcomers' health-related behaviors.

Impact of accelerated review policy on portfolio planning of vaccine companies.

Background: With the introduction of the accelerated drug review policy in China, the clinical research and development time and the review and approval time of drugs have been shortened accordingly. Especially under the influence of the COVID-19 pandemic, the vaccine formulations released through the accelerated review policy are springing up, and the question of how the accelerated review policy affects the investment portfolio of vaccine enterprises has also attracted more and more attention.

Aims And Methods: The article uses mixed-integer linear programming to develop a new model on portfolio planning for vaccine companies based on the accelerated review policy context.

Borrowing regulatory capacity in middle-income countries during public health crises: Brazil, regulatory reliance, and the politics of COVD-19 vaccine regulation.

The COVID-19 pandemic underscored the critical role of states' regulatory capacities. Countries had to authorize novel vaccine technologies in the context of scientific uncertainty and political pressure, issues particularly acute in middle-income countries (MICs) less familiar with the procedures needed to streamline regulatory processes during a crisis. How did regulatory agencies in countries still building their regulatory capacities expedite the authorization of new COVID-19 vaccines to combat the pandemic? How did they navigate political pressures to expedite vaccine approval while maintaining safety and efficacy standards? We explore these questions through the case of Brazil, which has one of Latin America's most highly-regarded regulatory authorities, but was subject to acute political conflicts.

An analysis of factors influencing technical efficiency of health expenditures in China.

China's primary healthcare (PHC) system, together with rural healthcare services, remains the Achilles' heel in the national healthcare system. Healthcare workers, specifically village doctors, are an integral part of the healthcare system. Using the two-stage data envelopment analysis (DEA) and Tobit regression analysis, this study aims to investigate the efficiency of healthcare expenditures on medical resources and services in China, as well as determine how different types of healthcare work influence efficiency.

Laminar chaotic saddle within a turbulent attractor.

Intermittent switchings between weakly chaotic (laminar) and strongly chaotic (bursty) states are often observed in systems with high-dimensional chaotic attractors, such as fluid turbulence. They differ from the intermittency of a low-dimensional system accompanied by the stability change of a fixed point or a periodic orbit in that the intermittency of a high-dimensional system tends to appear in a wide range of parameters. This paper considers a case where the skeleton of a laminar state L exists as a proper chaotic subset S of a chaotic attractor X, that is, S⊊X.

Navigating challenges in Vietnamese enterprises: An examination of the interplay between environmental regulations, organizational innovation, resilience, learning support, and performance.

This study examines the interplay between environmental regulations, organizational innovation, resilience, learning support, and performance in the Vietnamese business context. The paper explores the mutual interaction and influence among these variables. Additionally, it focuses on the indirect effects of organizational innovation and resilience, showing that organizational innovation mediates the relationship between environmental regulations and performance and resilience mediates the relationship between organizational learning support and performance.

A Structural Equation Model for Sustainable Supply Chain Management in the Food Industry.

This paper presents a model designed to measure and investigate the relationships between critical factors, practices, and performance of sustainable supply chain management (SSCM) in the food industry. A survey of 423 firms in the Greek food industry was conducted to meet these objectives. The data were analyzed using exploratory factor analysis, followed by confirmatory factor analysis and structural equation modeling, to explore the relationships between the model's constructs.

Predicting chronic post-traumatic head and neck pain: the role of bedside parameters.

Traumatic brain injury (TBI) annually impacts 69 million individuals worldwide. Mild TBI constitutes approximately 90% of all TBIs. Chronic pain post-mTBI occurs in 29% to 58% of patients.

Spatial layout optimization model integrating layered attention mechanism in the development of smart tourism management.

Tourism demand projection is paramount for both corporate operations and destination management, facilitating tourists in crafting bespoke, multifaceted itineraries and enriching their vacation experiences. This study proposes a multi-layer self attention mechanism recommendation algorithm based on dynamic spatial perception, with the aim of refining the analysis of tourists' emotional inclinations and providing precise estimates of tourism demand. Initially, the model is constructed upon a foundation of multi-layer attention modules, enabling the semantic discovery of proximate entities to the focal scenic locale and employing attention layers to consolidate akin positions, epitomizing them through contiguous vectors.

The Impact of Medical Risk Perception on Patient Satisfaction: The Moderating Role of Shared Decision-Making.

Purpose: The perception of medical risks is ubiquitous, influencing patients' healthcare experiences, yet the "black box" of this influencing process is seldom explored. This study explores the relationship between medical risk perception, trust, and patient satisfaction while taking shared decision-making as a moderator.

Methods: A stratified random sample of 450 inpatients from a tertiary public hospital in Guangzhou was selected for investigation, from June 2023 to September 2023.

Hybrid contrastive multi-scenario learning for multi-task sequential-dependence recommendation.

Multi-scenario and multi-task learning are crucial in industrial recommendation systems to deliver high-quality recommendations across diverse scenarios with minimal computational overhead. However, conventional models often fail to effectively leverage cross-scenario information, limiting their representational capabilities. Additionally, multi-step conversion tasks in real-world applications face challenges from sequential dependencies and increased data sparsity, particularly in later stages.

Increased impacts of aircraft activities on PM concentration and human health in China.

The rapid development of China's aviation industry has caused a rapid increase in airport PM emissions. This study uses the Global Exposure Mortality Model (GEMM) to evaluate the monthly deaths caused by aircraft activities at 164 airports in China from 2015 to 2023, based on the PM concentration of airport aircraft activities and the detection data of the China National Environmental Monitoring Center, including twenty age groups, six diseases, and gender. This paper presents three main conclusions.

The green gift: Environmental credit rating policy and loan contract terms.

We explore the effect of China's unique environmental credit rating pilot policy on loan contract terms between firms and banks. First, we find that the environmental credit rating policy increases the amount of bank loans received by firms and lowers their borrowing costs. These results remain robust across a range of sensitivity tests.

Comprehensive evaluation of rural entrepreneurial environment based on Pressure-State-Response model -evidence from China.

Background And Aims: The study of rural entrepreneurial environment is one of the key issues in rural entrepreneurship research.The rural entrepreneurship environment plays a key role in increasing the success rate of farmers' entrepreneurship and promoting their employment. Scientific evaluation of the rural entrepreneurial environment is important for governments to formulate relevant policies and optimize the rural entrepreneurial environment.