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Results for “Coupled model”

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At least 325 records · Page 18Linked to original sources

PubMed2005

Multilevel modeling of two cyclical processes: extending differential structural equation modeling to nonlinear coupled systems.

The authors present a dynamical multilevel model that captures changes over time in the bidirectional, potentially asymmetric influence of 2 cyclical processes. S. M. Boker and J. Graham's (1998) differential structural equation modeling approach was expanded to the case of a nonlinear coupled oscillator that is common in bimanual coordination studies in which participants swing hand-held pendulums but is also applicable to social systems in general. The authors' nonlinear coupled oscillator model decomposed the fluctuations into a competitive component, unique to each individual variable, and a cooperative component that captured bidirectional influence. The authors' model also generated an index of the symmetry/asymmetry of bidirectional influence. Together, the models are useful quantitative tools for the study of interacting, changing processes.

Humans↗

PubMed2001

Multibreath washout analysis: modelling the influence of conducting airway asymmetry.

The contributions of respiratory and conducting airway asymmetry, gas exchange, and non-uniform ventilation to the sloping alveolar plateau in phase III of the gas washout curve are investigated using mathematical models of the human lung. The models range from fully symmetric, to a detailed asymmetric conducting airway model coupled with 29445 lumped parameter respiratory airway models. A gas transport equation is solved in the models using a Lagrange-Galerkin method. The alveolar slope is normalised by the mean expired gas concentration to give S(n). The model results confirm that first breath S(n) is influenced mainly by respiratory airway asymmetry, and that at near-normal levels of ventilation the conducting airway asymmetry contributes a significant amount to further increases in S(n). Gas exchange moderates the plot of S(n) against breath number, such that it approaches a plateau in later breaths. Non-uniform flow also alters S(n), indicating that an accurate description of the pleural pressure gradient will be necessary for more accurate simulations.

Computer Simulation↗

PubMed2002

Modelling of layered resonators for ultrasonic separation.

The potential of ultrasonic techniques for the separation and concentration of particles within a fluid has been investigated in some detail in recent years. Devices for effecting such separation typically consist of a piezoceramic transducer driving into a matching layer, fluid layer and reflector layer. This paper uses an equivalent-circuit transducer model, coupled with acoustic impedance transfer relationships to model such cells with regards to both their electrical characteristics and the strength of the resonance produced under different conditions. The model is compared with experimental results from two different cells and is shown to match experimental values well in terms of electrical characteristics and separator performance. The effects of matching layer thickness are also examined using the model. The importance of the adhesive bonding layer is demonstrated, and it is shown that the model can predict the effects of such a layer. The model is also used to demonstrate the effects of coincident resonances in cell layers and to examine the pressure distribution across cells at key frequencies.

Journal Article↗

PubMed2003

Future directions of meteorology related to air-quality research.

Meteorology is one of the major factors contributing to air-pollution episodes. More accurate representation of meteorological fields has been possible in recent years through the use of remote sensing systems, high-speed computers and fine-mesh meteorological models. Over the next 5-20 years, better meteorological inputs for air quality studies will depend on making better use of a wealth of new remotely sensed observations in more advanced data assimilation systems. However, for fine mesh models to be successful, parameterizations used to represent physical processes must be redesigned to be more precise and better adapted for the scales at which they will be applied. Candidates for significant overhaul include schemes to represent turbulence, deep convection, shallow clouds, and land-surface processes. Improvements in the meteorological observing systems, data assimilation and modeling, coupled with advancements in air-chemistry modeling, will soon lead to operational forecasting of air quality in the US. Predictive capabilities can be expected to grow rapidly over the next decade. This will open the way for a number of valuable new services and strategies, including better warnings of unhealthy atmospheric conditions, event-dependent emissions restrictions, and now casting support for homeland security in the event of toxic releases into the atmosphere.

Air Movements↗

PubMed2004

A framework for modelling fertility motivation in couples.

We present a theoretical framework that organizes individual-level fertility motivations into a couple-level model. One feature of this framework is the Traits-Desires-Intentions-Behaviour (TDIB) sequence through which the fertility motivations of individuals produce instrumental behaviours that are designed to promote or prevent childbearing. A second feature of this framework is the cognitive capacity of individuals to perceive a partner's motivational structure. We combine these two features into a dyad-level model that addresses interactions between partners at each step of the motivational sequence. We elaborate this model first with respect to the perception of partner's motivational structure and second with respect to the combination of partner's and own motivational structure. In the process we consider how couple-level processes of communication, influence, and disagreement can be measured and studied through these interactions. We conclude with a summary discussion of the framework and a consideration of the implications it has for a theory of reproductive psychology, population surveys, and family planning services.

Female↗

PubMedDate not supplied

Analysing cardiac excitation-contraction coupling with mathematical models of local control.

Cardiac excitation-contraction (E-C) coupling describes the process that links sarcolemmal Ca2+ influx via L-type Ca2+ channels to Ca2+ release from the sarcoplasmic reticulum via ryanodine receptors (RyRs). This process has proven difficult to study experimentally, and complete descriptions of how the cell couples surface membrane and intracellular signal transduction proteins to achieve both stable and sensitive intracellular calcium release are still lacking. Mathematical models provide a framework to test our understanding of how this is achieved. While no single model is yet capable of describing all features of cardiac E-C coupling, models of increasing complexity are revealing unexpected subtlety in the process. In particular, modelling has established a general failure of 'common-pool' models and has emphasized the requirement for 'local control' so that microscopic sub-cellular domains can separate local behaviour from the whole-cell average (common-pool) behaviour. The micro-architecture of the narrow diadic cleft in which the local control takes place is a key factor in determining local Ca2+ dynamics. There is still considerable uncertainty about the number of Ca2+ ions required to open RyRs within the cleft and various gating models have been proposed, many of which are in reasonable agreement with available experimental data. However, not all models exhibit a realistic voltage dependence of E-C coupling gain. Furthermore, it is unclear which model features are essential to producing reasonable gain properties. Thus, despite the success of local-control models in explaining many features of cardiac E-C coupling, more work will be needed to provide a sound theoretical basis of cardiac E-C coupling.

Adaptation, Physiological↗

PubMed1996

Coupled Markov chain model: characterization of membrane channel currents with multiple conductance sublevels as partially coupled elementary pores.

A parameterized Markov chain model is developed to represent the characteristics of channel currents that either are the superposition of many single channels or show multiple conductance sublevels. The simplified model takes the form of a set of binary chains that are interdependent according to a simple lumped coupling parameter. When varied, this parameter realizes a range of behaviors from tight coupling to complete independence. Other model parameters describe the intrinsic characteristics of the binary chains. An identification procedure for the model parameters is developed based on hidden Markov modeling ideas but incorporating a novel parameter estimation. The usefulness of the model in analyzing certain types of data is demonstrated with examples of real channel currents.

Animals↗

PubMed1984

Informational analysis of left-ventricle/systemic-arterial interaction.

Studies of left ventricle (LV) and systemic arterial (SA) interaction can be grouped into four categories: 1) prediction of pressure and flow waveforms, 2) changes in LV/SA function with changes in SA properties, 3) identification of criteria that reveal matching between LV and SA properties, 4) definition of LV afterload. Whereas results from studies in categories 1, 2, and 3 reveal the consequences of interaction, results from studies in category 4 come closest to revealing the true character of LV/SA interaction. A useful description arising from category 4 is that of a circular feedback path connecting LV outflow, SA input-impedance, LV pressure, and LV pump properties. The identification of a node in this scheme results in the separation of LV functions into active functions and loading functions and the separation of LV/SA load into LV load and SA loading elements. The time-varying LV elastance participates in both LV active functions and LV loading functions, with the former dominating the latter. Total peripheral resistance dominates all other LV and SA loading elements in its loading effects. Although an elastance-resistance LV model coupled with a simple second-order SA load model accounts for many reported observations on LV/SA interaction, data from sudden aortic occlusion studies indicate a need to consider yet another interaction action. Evidence is presented to suggest the existence of an LV pump element that couples ejection events with relaxation and filling events.

Arteries↗

PubMed2005

A novel mouse model of autologous venous graft intimal hyperplasia.

BACKGROUND: To investigate the molecular mechanism of autologous venous graft intimal hyperplasia, a mouse model is needed. Currently only vein to carotid artery mouse models are available and are hampered by a high thrombosis rate. We hypothesized that operating on the aorta would lead to intimal hyperplasia with decreased risk of thrombosis. MATERIALS AND METHODS: In C57BL/6J mice, the left external jugular vein was grafted into the infrarenal abdominal aorta by end-to-end anastomosis with 11-0 Ethilon. Grafts harvested at 1, 2, 4, 8, and 16 weeks postoperatively were subjected to histological and immunohistochemical analysis. RESULTS: Thirty-one of 35 mice survived; 2 mice were sacrificed secondary to thrombosis. The percentage lumen narrowing (+/-SE) was 7.8 +/- 0.3, 16.4 +/- 0.9, 19.2 +/- 0.9, 22.3 +/- 0.8, and 23.9 +/- 1.6% at 1, 2, 4, 8 and 16 weeks, respectively. Nuclear density decreased with each successive time point. The percentage of alpha-smooth-muscle actin-positive cells within the neointima peaked at 16 weeks (53%), and the percentage of cells positive for proliferating cell nuclear antigen peaked at 2 weeks (39%). CONCLUSIONS: We thus report on a novel mouse model of intimal hyperplasia in autologous venous grafts with a low thrombosis rate. Further studies using this model, coupled with genetic and bone marrow transplantation mouse models, should lead to significant enhancement in understanding of the mechanism of intimal hyperplasia.

Animals↗

PubMed2006

Tidal transport and dispersal of marine toxic microalgae in a shallow, temperate coastal lagoon.

A numerical model was used to predict toxic microalgal transport and dispersion in Ria de Aveiro in Portugal. A previously developed Lagrangean particle tracking model coupled to a calibrated two-dimensional hydrodynamic model of Ria de Aveiro was used. Microalgae were regarded as passive particles and the methodology used allowed the determination of their trajectories, as induced by the tidal currents predicted by the hydrodynamic model. The model assumes Ria de Aveiro as vertically homogeneous and does not take into account the vertical distribution patterns of microalgae. Simulations were carried out during extreme spring and neap tides, with microalgal released at the mouth of the lagoon at the local flood. The maximum and minimum areas affected during the occurrence of toxic microalgal blooms were estimated to evaluate the suitability of the distribution of the sampling stations included in the local monitoring program. It was found that the tidal currents greatly determine the microalgal horizontal distribution and dispersal in the lagoon. The results confirmed that the locations of water and bivalve shellfish sampling stations, postulated by INIAP/IPIMAR, in the context of the local harmful algal bloom (HAB) program, were appropriate, although some possible refinements were identified.

Animals↗

PubMed2002

Simulation of packed-bed chromatography utilizing high-resolution flow fields: comparison with models.

A computer simulation of a section of the interior region of a liquid chromatographic column is performed. The detailed fluid flow profile is provided from a microscopic calculation of low Reynolds number flow through a random packed bed of nonporous spherical particles. The fluid mechanical calculations are performed on a parallel processor computer utilizing the lattice Boltzmann technique. Convection, diffusion, and retention in this flow field are calculated using a stochastic-based algorithm. This computational scheme provides for the ability to reproduce the essential dynamics of the chromatographic process from the fundamental considerations of particle geometry, particle size, flow velocity, solute diffusion coefficient, and solute retention parameters when retention is utilized. The simulation data are fit to semiempirical models. The best agreement is found for the "coupling" model of Giddings and the four-parameter Knox model. These models are verified over a wide range of particle sizes and flow velocities at both low and high velocity. The simulations appear to capture the essential dynamics of the chromatographic flow process for non-dimensional flow velocities (Péclet number) less than 500. Since the same packing geometry is utilized for different particle size studies, the interpretation of the parameter estimates from these models can be extended to the physical column model. The simulations reported here agree very well with a number of experiments reported previously.

Journal Article↗

PubMed2003

Impact of metal sorption and internalization on nitrification inhibition.

The goal of this study was to explore the relationship between metal extracellular sorption, intracellular accumulation, and nitrification inhibition. Metal sorption on nitrifying biomass was rapid and could be described by linear partitioning with partition coefficients (Kp) of 20.3 +/- 0.1, 0.4 +/- 0.0, 0.1 +/- 0.0, and 0.2 +/- 0.0 L/g biomass chemical oxygen demand for Cu, Zn, Ni, and Cd, respectively. On the other hand, intracellular Zn, Ni, and Cd concentrations continued to increase with time beyond 12 h after metal addition, whereas intracellular Cu attained equilibrium after 4 h. Metal internalization kinetics could be described by an intraparticle diffusion model, with characteristic diffusion time constants (td) of 9.4, 64.6, 80.5, and 66.1 h for Cu, Zn, Ni, and Cd, respectively. Ultimate internalized percentages of the total cell-associated metal were 1.4 +/- 0.0, 4.3 +/- 0.5,7.6 +/- 1.0, and 2.7 +/- 0.2% for Cu, Zn, Ni, and Cd, respectively. Nitrification inhibition was not a function of the sorbed metal fraction but correlated well with intracellular Zn, Ni, or Cd fractions. An intraparticle diffusion model coupled with a saturation-type biological toxicity model fit the inhibition data for varying initial Cd concentrations and exposure periods. In contrast, no relationship between intracellular or sorbed Cu concentrations and nitrification inhibition was observed. In the presence of 1 mM Cu, less than 13.3 +/- 10.5% cells remained viable as compared to 72.8 +/- 7.5,104.8 +/- 1.7, and 84.7 +/- 7.0% (assumed 100% viable cells in metal-free control) in the presence of 1 mM Zn, Ni, and Cd, respectively. Hence, the observations that inhibition by metals such as Zn, Ni, and Cd is related to their intracellular fraction and the slow kinetics of metal internalization indicate that metal inhibition can easily be underpredicted from short-term batch assays. Furthermore, the inhibitory mechanism of Cu was very different from Zn, Ni, and Cd and may involve rapid loss of membrane integrity.

Adsorption↗

PubMed2006

Oxygen atom transfer energetics: assessment of the effect of method and solvent.

Several density functional methods, the semiempirical methods AM1 and PM3, Hartree-Fock, and Gaussian3 theories were applied to compute the oxygen atom transfer enthalpies for 14 X/XO couples (inorganic and organic systems, charged and neutral species, light and heavy main group element containing molecules). The calculated reaction enthalpies were compared to available experimental data. The G3 method alone was found to perform within the experimental error, while the popular B3LYP and BLYP functionals provided inadequate results. Solvent effects were estimated for 19 neutral and anionic X/XO couples by using the conductor-like polarizable continuum model and several cavity models coupled with the B3LYP/6-31++G(2d,2p) level of theory. Surprisingly, the magnitude of the aqueous solvent correction was found to vary significantly for different solute cavity models, occasionally giving larger errors than the gas-phase calculation.

Computer Simulation↗

PubMed1997

Classification and prediction of beta-turn types.

Although a beta-turn consists of only four amino acids, it assumes many different types in proteins. Is this basically dependent on the tetrapeptide sequence alone or is it due to a variety of interactions with the other part of a protein? To answer this question, a residue-coupled model is proposed that can reflect the sequence-coupling effect for a tetrapeptide in not only a beta-turn or non-beta-turn, but also different types of a beta-turn. The predicted results by the model for 6022 tetrapeptides indicate that the rates of correct prediction for beta-turn types I, I', II, II', VI, and VIII and non-beta-turns are 68.54%, 93.60%, 85.19%, 97.75%, 100%, 88.75%, and 61.02%, respectively. Each of these seven rates is significantly higher than 1/7 = 14.29%, the completely randomized rate, implying that the formation of different beta-turn types or non-beta-turns is considerably correlated with the sequences of a tetrapeptide.

Algorithms↗

PubMedDate not supplied

The Poseidon operational tool for the prediction of floating pollutant transport.

In this work the development and the application of an operational management tool for the Greek Seas is described. This tool consists of a three-dimensional floating pollutant prediction model coupled with a weather, a hydrodynamic and a wave model in order to track the movements and the spreading of the pollutants and indicate those coastal areas which might be affected. The tool is part of the Poseidon system which has been designed to provide real time data and forecasts for marine environmental conditions in the Greek Seas. In this paper, we present four case studies based on realistic scenarios that show the value of the application for long-term strategic planning and short-term decision making in oil spill accidents.

Decision Making↗

PubMed2006

Anomalous narrowing of the structural relaxation dispersion of tris(dimethylsiloxy)phenylsilane at elevated pressures.

Broadband dielectric relaxation measurements of tris(dimethylsiloxy)phenylsilane were made at ambient pressure and at elevated pressures. The data show an anomalous behavior not previously seen in any other glass-formers; namely, the structural alpha-relaxation loss peak narrows with increasing pressure and temperature at constant peak frequency. Interpreted by the coupling model, the effect is due to reduction of intermolecular coupling at elevated pressures. This interpretation has support from the observed decrease of the separation between the alpha-relaxation and the Johari-Goldstein secondary relaxation, as well as the smaller steepness or "fragility" index m of the data obtained at 1.7 GPa than at ambient pressure.

Journal Article↗

PubMedDate not supplied

[Low conductivity calcium channels in the plasmatic membrane of macrophages: activation with inositol 1,4,5-triphosphate].

Using patch-clamp technique we have shown that the plasma membrane of mouse macrophages contains calcium channels that are activated by inositol (1, 4, 5)-trisphosphate (IP3) and blocked by heparine. Their conductivity properties strongly differentiate them from IP3-activated channels of endoplasmic reticulum, but make it possible to include them to the ICRAC family. By the other hand, properties of the IP3 receptor (IP3R) of our channels are similar to those of endoplasmic IP3R. Basing on these data we suggest that IP3R could be located out of the plasma membrane, and by some conformational changes transduces the signal to the high selective Ca2+ channel in the plasma membrane. This model well conforms with the known in the literature "coupling model" of calcium signalling [1].

Animals↗

PubMed2005

A bond graph model of the cardiovascular system.

The study of the autonomic nervous system (ANS) function has shown to provide useful indicators for risk stratification and early detection on a variety of cardiovascular pathologies. However, data gathered during different tests of the ANS are difficult to analyse, mainly due to the complex mechanisms involved in the autonomic regulation of the cardiovascular system (CVS). Although model-based analysis of ANS data has been already proposed as a way to cope with this complexity, only a few models coupling the main elements involved have been presented in the literature. In this paper, a new model of the CVS, representing the ventricles, the circulatory system and the regulation of the CVS activity by the ANS, is presented. The models of the vascular system and the ventricular activity have been developed using the Bond Graph formalism, as it proposes a unified representation for all energetic domains, facilitating the integration of mechanic and hydraulic phenomena. In order to take into account the electro-mechanical behaviour of both ventricles, an electrophysiologic model of the cardiac action potential, represented by a set of ordinary differential equations, has been integrated. The short-term ANS regulation of heart rate, cardiac contractility and peripheral vasoconstriction is represented by means of continuous transfer functions. These models, represented in different continuous formalisms, are coupled by using a multi-formalism simulation library. Results are presented for two different autonomic tests, namely the Tilt Test and the Valsalva Manoeuvre, by comparing real and simulated signals.

Cardiovascular System↗