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The impact of mechanical insufflation-exsufflation on the weaning success rate of tracheostomized patients on prolonged mechanical ventilation: a pilot and feasibility study of a randomized controlled trial.
Med Intensiva (Engl Ed)
January 2025
Pulmonary and Critical Care Division, University Hospital of Federal University of Juiz de Fora, Brazil; School of Medicine, Federal University of Juiz de Fora, Minas Gerais, Brazil. Electronic address:
Objective: To evaluate the feasibility of adding mechanical insufflation-exsufflation (MI-E) to a weaning protocol for tracheostomized patients undergoing prolonged mechanical ventilation (MV).
Design: Single-center, open-label, randomized, controlled pilot and feasibility study.
Setting: Intensive care unit in Brazil.
Effect of proposed asynchronous injection strategy on the combination therapy of magnetic hyperthermia and thermosensitive liposome.
J Therm Biol
January 2025
College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350116, China.
Magnetic nanoparticles (MNPs) used for magnetic hyperthermia can not only damage tumor cells after elevating to a specific temperature but also provide the temperature required for thermosensitive liposomes (TSL) to release doxorubicin (DOX). MNPs injected into tumor will generate heat under an alternating magnetic field, so the MNPs distribution can determine temperature distribution and further affect the DOX concentration used for tumor therapy. This study proposes an asynchronous injection strategy for this combination therapy in order to improve the DOX concentration value for drug therapy, in which the MNPs are injected into tumor after a certain lagging of TSL injection in order to increase the TSL concentration inside tumor.
View Article and Find Full Text PDFTIMAR: Transition-informed representation for sample-efficient multi-agent reinforcement learning.
Neural Netw
December 2024
CAS Key Laboratory of GIPAS, University of Science and Technology of China, Hefei, China; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China. Electronic address:
In MARL (Multi-Agent Reinforcement Learning), the trial-and-error learning paradigm based on multiple agents requires massive interactions to produce training samples, significantly increasing both the training cost and difficulty. Therefore, enhancing data efficiency is a core issue in MARL. However, in the context of MARL, agent partially observed information leads to a lack of consideration for agent interactions and coordination from an ego perspective under the world model, which becomes the main obstacle to improving the data efficiency of current proposed MARL methods.
View Article and Find Full Text PDFQuantifying spatial inequities in traffic injury rates through the integration of urban road network measures and social vulnerability.
Accid Anal Prev
January 2025
School of System Science, Beijing Jiaotong University, Beijing 100044 PR China. Electronic address:
Mitigating traffic injury rate plays an essential role in sustainable urban development and is closely related to public health and human well-being. The inequity of traffic injury rate undermines equitable access to transportation infrastructure and poses a significant threat to the safety of residents during their commutes. Although previous studies have examined the association between socio-demographic characteristics and regional traffic crash risk, they seldom consider the spatial heterogeneity of the traffic injury rate inequity especially for the vulnerable groups.
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