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Modeling transient particle transport in transient indoor airflow by fast fluid dynamics with the Markov chain method KU Leuven
It is crucial to accurately and efficiently predict transient particle transport in indoor environments to improve air distribution design and reduce health risks. For steady-state indoor airflow, fast fluid dynamics (FFD) + Markov chain model increased the calculation speed by around seven times compared to computational fluid dynamics (CFD) + Eulerian model and CFD + Lagrangian model, while achieving the same level of accuracy. However, the ...
Expression of transient receptor potential ankyrin 1 and transient receptor potential vanilloid 1 in the gut of the peri-weaning pig is strongly dependent on age and intestinal site Universiteit Antwerpen Universiteit Gent
Transient receptor potential (TRP) channels contribute to sensory transduction in the body, agonized by a variety of stimuli, such as phytochemicals, and they are predominantly distributed in afferent neurons. Evidence indicates their expression in non-neuronal cells, demonstrating their ability to modulate gastrointestinal function. Targeting TRP channels could potentially be used to regulate gastrointestinal secretion and motility, yet their ...
An accurate analytical approximation to the capacitance transient amplitude in deep level transient spectroscopy for fitting carrier capture data Universiteit Gent
Transient suppression in FRF measurement: Comparison and analysis of four state-of-the-art methods Vrije Universiteit Brussel
This paper compares four well selected methods for computing the non-parametric Frequency Response Function (FRF) of a periodically excited linear time invariant system. The suppression of the transient is mandatory when its influence in the data is large. Better suppression of the transient leads to a better non-parametric FRF estimate. A good non-parametric FRF estimate can be used to validate the parametric transfer function model in a second ...
Transient conditions and overlapping sub-records: an excellent pair for FRF measurements Vrije Universiteit Brussel
A detailed understanding of a measured system requires some knowledge on the system's behavior at different frequencies. The linear behavior of a system at different frequencies is estimated by the Frequency Response Function FRF). If the system is excited by a periodic multi-frequency signal, the FRF can be obtained by computing the ratio of the discrete Fourier coefficients of the ...