Agent-based simulation of trust networks and opportunistic behaviours of hydraulic infrastructure project participants.

Opportunistic behaviour has become a research hotspot in hydraulic infrastructure project management owing to its serious damage to the cooperation efficiency of all participants in a project. The trust networks formed by each participant can restrain opportunistic behaviour, but due to the dynamic evolution of the networks, its research should adopt a dynamic paradigm. The structure and evolution of trust networks can be simulated using computer simulations and modelling.

3D-printed silicon nitride ceramic implants for clinical applications: the state of the art and prospects.

SiN ceramic has received great attention because of its sound biological performances, which make it an attractive ceramic implant material in healthcare, particularly in orthopedic surgery. With the advancement of 3D printing technology, SiN ceramics can now be fabricated into customized implants with precise anatomical shapes, sizes, and microstructures, catering to the individual needs of patients. We, therefore, conducted a comprehensive review of how 3D printing enables complex-shaped SiN ceramic implants for clinical applications.

Association of physical activity, sedentary behavior and stroke in older adults.

Objective: The aim of this study was to investigate the relationship between physical activity, sedentary behavior and stroke in people aged 60 years and older.

Methods: The study included 3,010 participants aged 60 and older from the National Health and Nutrition Examination Survey (NHANES). Data on sedentary behavior, physical activity and stroke were obtained through questionnaires.

Early detection of subjective cognitive decline from self-reported symptoms: An interpretable attention-cost fusion approach.

Background And Objective: Subjective cognitive decline (SCD) refers to self-reported difficulties in concentration, memory, and decision-making. Since SCD is based on subjective experiences, no specific medical test can definitively confirm its presence, making early detection challenging. Thus, it is advantageous to develop an AI model to capitalize on self-reported health complications, personality traits, and sociodemographic factors for early detection of SCD.

Increasing patient viewership of complex imaging reports: The paradox of the Cures Act.

Background: As a result of the 21st Century Cures Act, radiology reports are immediately released to patients. We determine if readers of radiology reports, via electronic health records (EHRs), and radiology report complexity have changed post the implementation of the 21st Century Cures Act.

Methods: A retrospective observational study was used to analyze 10,000 radiology reports (equal split of CT, mammogram, MRI, X-ray, and ultrasound modalities) per year between 2013 and 2023.

Controlling mission hazards through integrated abort and spare support optimization.

This study explores the risk management challenges associated with safety-critical systems required to execute specific missions. The working component experiences degradation governed by a continuous-time discrete-state Markov chain, whose failure leads to an immediate system breakdown and safety losses. To enhance system survivability, a limited number of identical spares are available for online replacement throughout the mission.

Spatiotemporal multi-feature fusion vehicle trajectory anomaly detection for intelligent transportation: An improved method combining autoencoders and dynamic Bayesian networks.

With the continuous development of intelligent transportation systems, traffic safety has become a major societal concern, and vehicle trajectory anomaly detection technology has emerged as a crucial method to ensure safety. However, current technologies face significant challenges in handling spatiotemporal data and multi-feature fusion, including difficulties in big data processing, and have room for improvement in these areas. To address these issues, this paper proposes a novel method that combines autoencoders, Mahalanobis distance, and dynamic Bayesian networks for anomaly detection.

Frailty as a mediator between sleep quality and cognitive impairment among the rural older adults: a cross-sectional study.

Background: Cognitive impairment is a common health problem among older adults. Previous studies have proven the association between sleep quality and cognitive impairment, but the specific underlying mechanisms need to be further explored. This study aimed to examine the relationship between sleep quality and cognitive impairment and the mediating effect of frailty in this relationship among the rural older adults.

Prevalence of food and housing insecurity among direct support professionals in New York.

Background: Low earnings are associated with household insecurity. Direct Support Professionals (DSPs) provide support for people with intellectual and developmental disabilities, typically for wages close to state minimums, and may experience insecurity.

Objective: The purpose of the study was to evaluate the prevalence of food and housing insecurity among DSPs.

Subsidy implementation patterns and electric vehicle adoption.

Many local governments provide subsidies to promote electric vehicles (EVs). These subsidies are characterised by different implementation patterns: they are provided by different levels of government, sometimes jointly financed, or retroactively implemented. However, the potential impacts of different subsidy implementation patterns on EV adoption remain unclear.

Cognitive training with adaptive algorithm improves cognitive ability in older people with MCI.

Recent discoveries indicating that the brain retains its ability to adapt and change throughout life have sparked interest in cognitive training (CT) as a possible means to postpone the development of dementia. Despite this, most research has focused on confirming the efficacy of training outcomes, with few studies examining the correlation between performance and results across various stages of training. In particular, the relationship between initial performance and the extent of improvement, the rate of learning, and the asymptotic performance level throughout the learning curve remains ambiguous.

A city perspective on the arduous task of emission-growth balance: decoupling and decomposition analysis in Chinese cities.

Decoupling economic growth and carbon emissions is essential to a sustainable high-quality development. As a small unit of the engine of development, more research has begun to focus on city-level issues. In order to fill the gaps in the decoupling research at the city level covering the whole nationwide, this paper applied the bottom-up method to calculate 282 cities' carbon emissions according to China's city-level panel data of terminal energy consumption, and combined Tapio decoupling with LMDI decomposition model to analyze cities' decoupling status and its driving factors.

Policy analysis of self-care program: a qualitative study protocol.

Background: Over the recent years, the self-care program has been a significant policy in the field of health. The WHO recommended self-care for every country and economic setting for reaching universal health coverage, promoting health, keeping the world safe and serving the vulnerable. Conducting a policy analysis study can be useful in closely examining the self-care program's content, process, context and actors.

Evaluating hospital performance with additive DEA and MPI: the Isfahan University of Medical Science case study.

Background: Hospitals are a vital pillar of the health system, and measuring their performance by an appropriate quantitative model is crucial. This study evaluated the performance of hospitals affiliated with Isfahan University of Medical Sciences. It deals with the nature of dynamics (the performance of evaluation indicators over time), examining controllable, uncontrollable, and undesirable input and output indicators.

Data-driven automated job shop scheduling optimization considering AGV obstacle avoidance.

The production stage of an automated job shop is closely linked to the automated guided vehicle (AGV), which needs to be planned in an integrated manner to achieve overall optimization. In order to improve the collaboration between the production stages and the AGV operation system, a two-layer scheduling optimization model is proposed for simultaneous decision making of batching problems, job sequences and AGV obstacle avoidance. Under the AGV automatic path seeking mode, this paper adopts a data-driven Bayesian network method to portray the transportation time of AGVs based on the historical operation data to control the uncertainty of the transportation time of AGVs.

The impact of village heads' educational levels on adolescent academic performance: Evidence from rural China.

This study investigates the relationship between the educational level of village heads and the academic performance of adolescents, using data from the China Family Panel Studies (CFPS). The analysis reveals that village chiefs with well-educated significantly enhance the academic outcomes of adolescents within their communities. This positive effect remains robust even after controlling for endogeneity through instrumental variables and conducting various robustness checks.

New path to green transformation: Exploring the impact of corporate governance on environmental information disclosure quality of new energy companies.

An essential aspect of improving market openness, fostering investor trust, and allowing the establishment and implementation of sustainable development policies lies in enhancing the disclosure quality of new energy firms. This study examines the influence of corporate governance on the disclosure quality of new energy companies listed on the Chinese A-share market. The analysis is conducted using a two-way fixed-effects model and particularly focuses on the role of green transformation in this relationship.

The returns-connectedness between environment, social, and governance funds and biofuels.

This study investigates the returns-connectedness (RC) between Environmental, Social, and Governance (ESG) funds and biofuel markets. RC analysis helps stakeholders understand the role of ESG funds in promoting biofuel transitions. Using econometric models such as the Time-Varying Parameter Vector AutoRegressive (TVP-VAR) and Continuous Wavelet Transform (CWT), we examine RC with data from January 2019 to December 2023.

Qualitative Study on the Real Experiences of Patients with Meige Syndrome Based on the Individual and Family Self-Management Theory.

Objective: This study aimed to analyze the real experiences of patients with Meige Syndrome, which is an idiopathic dystonia, during the perioperative period and to explore the practical application and effectiveness of Individual and Family Self-Management Theory (IFSMT) in improving patient experiences.

Methods: A qualitative descriptive research methodology was employed to elucidate the intricate psychological and social experiences encountered by patients with Meige Syndrome throughout the perioperative phase. This study conduct face-to-face, one-on-one, semi-structured interviews with 16 Meige Syndrome patients to gain an in-depth understanding of the patients' true feelings and needs.

The Effect of Water Co-adsorption on the Adsorption of Formaldehyde in Fe-HHTP-MOF Metal-Organic Materials.

Because of the existence of moisture in indoor air, it is still a serious challenge to capture formaldehyde indoors with the metal-organic material Fe-HHTP-MOF. To explore the relationship between the structure and performance of Fe-HHTP-MOF in dry and humid air, molecular dynamics simulation was used to study the adsorption amount of Fe-HHTP-MOF for formaldehyde and water under different temperatures and adsorption pressures, as well as the adsorption amount of Fe-HHTP-MOF for formaldehyde in the presence of both water and formaldehyde, and the differences in adsorption of formaldehyde and water by Fe-HHTP-MOF were compared and analyzed when water coexisted. The results show that under single-component isothermal adsorption, the hydrogen bond energy formed by Fe-HHTP-MOF adsorbing HO molecules is much greater than the van der Waals energy formed by adsorbing HCHO molecules.