1,767 research outputs found
Peristaltic Transport of a Couple Stress Fluid: Some Applications to Hemodynamics
The present paper deals with a theoretical investigation of the peristaltic
transport of a couple stress fluid in a porous channel. The study is motivated
towards the physiological flow of blood in the micro-circulatory system, by
taking account of the particle size effect. The velocity, pressure gradient,
stream function and frictional force of blood are investigated, when the
Reynolds number is small and the wavelength is large, by using appropriate
analytical and numerical methods. Effects of different physical parameters
reflecting porosity, Darcy number, couple stress parameter as well as amplitude
ratio on velocity profiles, pumping action and frictional force, streamlines
pattern and trapping of blood are studied with particular emphasis. The
computational results are presented in graphical form. The results are found to
be in good agreement with those of Shapiro et. al \cite{r25} that was carried
out for a non-porous channel in the absence of couple stress effect. The
present study puts forward an important observation that for peristaltic
transport of a couple stress fluid during free pumping when the couple stress
effect of the fluid/Darcy permeability of the medium, flow reversal can be
controlled to a considerable extent. Also by reducing the permeability it is
possible to avoid the occurrence of trapping phenomenon
Peristaltic Transport of a Rheological Fluid: Model for Movement of Food Bolus Through Esophagus
Fluid mechanical peristaltic transport through esophagus has been of concern
in the paper. A mathematical model has been developed with an aim to study the
peristaltic transport of a rheological fluid for arbitrary wave shapes and tube
lengths. The Ostwald-de Waele power law of viscous fluid is considered here to
depict the non-Newtonian behaviour of the fluid. The model is formulated and
analyzed with the specific aim of exploring some important information
concerning the movement of food bolus through the esophagus. The analysis has
been carried out by using lubrication theory. The study is particularly
suitable for cases where the Reynolds number is small. The esophagus is treated
as a circular tube through which the transport of food bolus takes places by
periodic contraction of the esophageal wall. Variation of different variables
concerned with the transport phenomena such as pressure, flow velocity,
particle trajectory and reflux are investigated for a single wave as well as
for a train of periodic peristaltic waves. Locally variable pressure is seen to
be highly sensitive to the flow index `n'. The study clearly shows that
continuous fluid transport for Newtonian/rheological fluids by wave train
propagation is much more effective than widely spaced single wave propagation
in the case of peristaltic movement of food bolus in the esophagus.Comment: Accepted for publication in Applied Mathematics and Mechanics (AMM),
Springe
Network Physiology reveals relations between network topology and physiological function
The human organism is an integrated network where complex physiologic
systems, each with its own regulatory mechanisms, continuously interact, and
where failure of one system can trigger a breakdown of the entire network.
Identifying and quantifying dynamical networks of diverse systems with
different types of interactions is a challenge. Here, we develop a framework to
probe interactions among diverse systems, and we identify a physiologic
network. We find that each physiologic state is characterized by a specific
network structure, demonstrating a robust interplay between network topology
and function. Across physiologic states the network undergoes topological
transitions associated with fast reorganization of physiologic interactions on
time scales of a few minutes, indicating high network flexibility in response
to perturbations. The proposed system-wide integrative approach may facilitate
the development of a new field, Network Physiology.Comment: 12 pages, 9 figure
Detrended Fluctuation Analysis of Systolic Blood Pressure Control Loop
We use detrended fluctuation analysis (DFA) to study the dynamics of blood
pressure oscillations and its feedback control in rats by analyzing systolic
pressure time series before and after a surgical procedure that interrupts its
control loop. We found, for each situation, a crossover between two scaling
regions characterized by exponents that reflect the nature of the feedback
control and its range of operation. In addition, we found evidences of
adaptation in the dynamics of blood pressure regulation a few days after
surgical disruption of its main feedback circuit. Based on the paradigm of
antagonistic, bipartite (vagal and sympathetic) action of the central nerve
system, we propose a simple model for pressure homeostasis as the balance
between two nonlinear opposing forces, successfully reproducing the crossover
observed in the DFA of actual pressure signals
Virtual Patients and Sensitivity Analysis of the Guyton Model of Blood Pressure Regulation: Towards Individualized Models of Whole-Body Physiology
Mathematical models that integrate multi-scale physiological data can offer insight into physiological and pathophysiological function, and may eventually assist in individualized predictive medicine. We present a methodology for performing systematic analyses of multi-parameter interactions in such complex, multi-scale models. Human physiology models are often based on or inspired by Arthur Guyton's whole-body circulatory regulation model. Despite the significance of this model, it has not been the subject of a systematic and comprehensive sensitivity study. Therefore, we use this model as a case study for our methodology. Our analysis of the Guyton model reveals how the multitude of model parameters combine to affect the model dynamics, and how interesting combinations of parameters may be identified. It also includes a “virtual population” from which “virtual individuals” can be chosen, on the basis of exhibiting conditions similar to those of a real-world patient. This lays the groundwork for using the Guyton model for in silico exploration of pathophysiological states and treatment strategies. The results presented here illustrate several potential uses for the entire dataset of sensitivity results and the “virtual individuals” that we have generated, which are included in the supplementary material. More generally, the presented methodology is applicable to modern, more complex multi-scale physiological models
A quantitative thermal analysis of cyclists’ thermo-active base layers
It is well known that clothes used in sporting activity are a barrier for heat exchange between the environment and athlete,
which should help in thermoregulation improvement. However, it is difficult to evaluate which top is best for each athlete
according to the characteristics of the sport. Researchers have tried to measure the athlete’s temperature distribution during
exercise at the base layers of tops with different approaches. The aim of this case study was to investigate the use of
thermography for thermo-active base layer evaluation. Six new base layers were measured on one cyclist volunteer during
a progressive training on a cycloergometer. As a control condition, the skin temperature of the same volunteer was
registered without any layer with the same training. A training protocol was selected approximate to cycling race, which
started from the warm-up stage, next the progressive effort until the race finished and at the end ‘‘cool-down’’ stage was
over. In order to show which layer provided the strongest and weakest barrier for heat exchange in comparison with
environment, the temperature parameters were taken into consideration. The most important parameter in the studies was
the temperature difference between the body and the layers, which was changing during the test time. The studies showed a
correlation between the ergometer power parameter and the body temperature changes, which has a strong and significant
value. Moreover, the mass of every layer was checked before and after the training to evaluate the mass of the sweat
exuded during the test. From this data, the layer mass difference parameter was calculated and taken into consideration as a
parameter, which may correspond with the mean heart rate value from each training. A high and positive correlation
coefficient was obtained between the average heart rate and the mass difference for the base layers. Thermal analysis seems
to have a new potential application in the objective assessment of sports clothing and may help in choosing the proper
clothes, which could support heat transfer during exercising and protect the body from overheating
- …