In recent years, awareness about the risk of particulate matter (PM) has increased both domestically and internationally; consequently, various policies have been implemented to reduce PM. Since citizens are both victim and cause of this risk, PM cannot be successfully decreased only through government policies. Therefore, citizens' active participation is required to reduce PM and prevent its risks. However, a theoretical model about public behavior against PM has not been established. Therefore, we suggest the public behavior model about individuals' response against PM, in which response actions are classified into four types based on the combinations of the public-personal domains and mitigation-adaptation actions: Personal or public adaptations, and personal or public mitigations. We analyze how risk perception, risk communication, blame attribution factors influence the four types of responses against PM. The analysis results reveal that the receiver's ability, negative emotion, trust in government, and age influence personal mitigation behavior, personal adaptation, public mitigation, and public adaptation, respectively. As this study demonstrates the differences in the factors influencing each type of response actions against PM, evidence-based policy is needed that considers the differences in these influencing factors.
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http://dx.doi.org/10.3390/ijerph18020428 | DOI Listing |
BMC Pharmacol Toxicol
January 2025
Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Objective: Cyclin-dependent kinase (CDK)-4/6 inhibitors have significantly improved outcomes in several cancers but can also induce various organ system toxicities, including musculoskeletal disorders. This study aimed to comprehensively characterize the musculoskeletal adverse events (MSAEs) associated with CDK4/6 inhibitors based on real-world data.
Methods: Reports of MSAEs linked to CDK4/6 inhibitors from the first quarter (Q1) of 2015 and 2023 Q4 were extracted from the FAERS.
Sci Rep
January 2025
The Alan Turing Institute, London, UK.
Air pollution in cities, especially NO, is linked to numerous health problems, ranging from mortality to mental health challenges and attention deficits in children. While cities globally have initiated policies to curtail emissions, real-time monitoring remains challenging due to limited environmental sensors and their inconsistent distribution. This gap hinders the creation of adaptive urban policies that respond to the sequence of events and daily activities affecting pollution in cities.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Center for Physical Sciences and Technology, Saulėtekio av.3, 10257 Vilnius, Lithuania.
Understanding the dynamics of injected charge carriers is crucial for the analysis of the perovskite light-emitting diode (PeLED) operation. The behavior of the injected carriers largely dictates the external quantum efficiency (EQE) roll-off at high current densities and the temperature dependence of the EQE in PeLEDs. However, limitations such as sample capacitance and external circuitry hinder precise control of carrier injection rates, making it challenging to directly track the dynamics of individual carriers.
View Article and Find Full Text PDFInfect Control Hosp Epidemiol
January 2025
University of Texas Southwestern Medical Center, O'Donnell School of Public Health, Dallas, TX, USA.
Background: Understanding healthcare personnel's (HCP) contact patterns are important to mitigate healthcare-associated infectious disease transmission. Little is known about how HCP contact patterns change over time or during outbreaks such as the COVID-19 pandemic.
Methods: This study in a large United States healthcare system examined the social contact patterns of HCP via standardized social contact diaries.
Gastroenterol Clin North Am
March 2025
Department of Gastroenterology, All India Institute of Medical Sciences, New Delhi 110029, India. Electronic address:
Organ failure (OF) is a sinister development in the clinical course of acute pancreatitis, and its prediction is crucial for triaging the patient. Persistent systemic inflammatory response syndrome and raised interleukin-6 levels have a good predictive accuracy. Pathophysiology involves the release of damage-associated molecular patterns as a consequence of pancreatic injury, recruitment of inflammatory cells, and the release of proinflammatory cytokines and chemokines causing cytokine storm.
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