Introduction: A novel dynamic simulator brain model with hydrocephalus has been developed for endoscopic intraventricular procedures. Detachable components allow enhancement of the walls of the ventricle by choroid plexus, ependymal veins and the membranous floor of the third ventricle which are derived from cadaveric lab animal tissues to give a lifelike appearance. These can be changed for every exercise. Ventricles are filled with injection of saline to give appropriate transparent medium and connected to a device transmitting pulsations creating conditions similar to live surgeries.
Material And Methods: Thirty-five participants have used this model over the last 1 year and found it to be useful for conducting third ventriculostomy. Further development of the model for septostomy, aqueductoplasty and tumour biopsy has also been recently tested successfully by 12 participants.
Conclusion: It is hoped that this simulator model for intraventricular endoscopy is comprehensive as a learning tool in carrying out most of the the surgical procedures currently practised.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s00381-019-04087-2 | DOI Listing |
ISA Trans
January 2025
Department of Electrical and Computer Engineering, National University of Singapore, 117538, Singapore. Electronic address:
For tolerant containment control of multi-agent systems, considering the challenges in modeling and the impact of actuator faults on system security and reliability, a finite index dynamic event-triggered policy iteration algorithm is proposed. This algorithm only requires input and output data, without relying on system models, and simultaneously considers the faults and energy consumption issues to improve the system reliability and save energy consumption. The conditions are provided to demonstrate the convergence and optimality of the algorithm, including a convergence speed, that is, the number of iterations required for convergence is finite.
View Article and Find Full Text PDFUltrasound Med Biol
January 2025
Institute of Biomedical Technologies, Auckland University of Technology, Auckland City, 1010, Auckland, New Zealand. Electronic address:
Objective: This study aims to evaluate the viability of a hypothesis for selective targeting of skin cancer cells by exploiting the spectral gap with healthy cells using analytical and numerical simulation.
Methods: The spectral gap was first identified using a viscoelastic dynamic model, with the physical and mechanical properties of healthy and cancerous skin cells deduced from previous experimental studies conducted on cell lines. The outcome of the analytical simulation was verified numerically using modal and harmonic analysis.
Environ Res
January 2025
Department of Civil, Environmental, & Architectural Engineering, Worcester Polytechnic Institute, Worcester, MA, United States. Electronic address:
The growing impact of climate change and escalating wildfire seasons has led to heightened ambient air pollution, potentially affecting children's sleep health. However, current epidemiological research often relies on outdoor weather data to model the environmental impacts on sleep health, potentially mischaracterizing the actual bedroom environment. To address these challenges, we conducted experiments to investigate the relationships among ambient, indoor, and personal exposure to PM concentrations and obstructive sleep apnea (OSA) in children.
View Article and Find Full Text PDFTheor Popul Biol
January 2025
Otto von Guericke University Magdeburg, Institute for Intelligent Cooperating Systems, Universitatsplatz 2, 39106, Sachsen-Anhalt, Germany.
Although extensively studied, the maintenance of biodiversity remains a highly debated and investigated topic of contemporary research in ecology. Several studies have quantified the contributions of various coexistence mechanisms to biodiversity. However, often stochastic individual-level interactions are abstracted away, or mechanisms are studied in isolation.
View Article and Find Full Text PDFEcotoxicol Environ Saf
January 2025
Chair of Engineering Hydrology and Water Management, Technical University of Darmstadt, Darmstadt, Germany. Electronic address:
River quality management involves complex challenges due to inherent uncertainties in various parameters, especially when dealing with controllable and uncontrollable pollutants. This study integrates a finite volume approach, called SEF (symmetric exponential function), with Monte Carlo simulations in MATLAB to solve the advection-dispersion equation, focusing on evaluating river quality protection tools by considering failure probability (P). Critical specifications for maintaining reliable river ecosystem performance are identified.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!