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At least 649 records · Page 36Linked to original sources

A mathematical model of the ecology of Lyme disease.

A mathematical model of enzootic Lyme-disease transmission in a natural focus is presented. This model is based on the life history of the vector tick Ixodes scapularis Say and the primary reservoir host Peromyscus leucopus. Using this model, the threshold condition for the disease to be able to invade a nonenzootic region is determined as a function of the various possible transmission chains operating throughout the year. These expressions show that the transmission chain in which ticks acquire the disease from mice in the fall and transmit it back to mice as nymphs in the spring is the most important chain (contributing approximately 87% of the elasticity of the threshold for the parameter choices examined). Equilibrium disease levels were examined under the assumption of a constant tick population; these levels were determined as a function of tick and mouse density, the vertical transmission rate, the infectivity of mice, and the survivorship parameters of the ticks and of the tick-host contact rates. Vertical transmission has a disproportionately large effect, since unfed infected larval ticks have two opportunities to feed on mice, rather than only one opportunity (as for a newly infected unfed nymph). Finally, a global sensitivity analysis based on Latin hypercube sampling is performed, in which is shown the importance of quantifying the natural history of infection in mice, and of elucidating the contribution of other hosts for I. scapularis than mice.

Animals↗

Mathematical models for predicting G-level tolerances.

The mathematical models developed in this article predict the following human G-level tolerances: 1) rapid onset relaxed (ROR); 2) gradual onset relaxed (GOR); and, 3) straining-rapid onset. Included in the model are specific functions of: 1) anti-G suit; 2) positive pressure breathing (PBG); 3) baroreceptor reflex; 4) handgrip reflex; 5) anti-G straining maneuver (AGSM) increasing intrathoracic pressures (Pi); 6) leg elevation; and, 7) reclining seatback angles < or = 55 degrees. These functions are based on sound physiologic principles. Also discussed in the development of this model, but not included in the models, were: 1) isometric muscle contraction reflex; 2) Qigong (Q-G) maneuver; and, 3) straining GOR tolerances. The straining GOR tolerance profile was calculated to be a measure of G-duration tolerance and not G-level tolerance. A maximum P of 125 mm Hg from the AGSM was used in these models that could be augmented with PBG to 185 mm Hg. G-level tolerance predictions using this model were validated with published data.

Adaptation, Physiological↗

Muscular contractions and their effect on the vertical ground reaction force during quiet stance--Part II: Mathematical model.

A one-dimensional lumped-parameters mathematical model of the standing human was developed to specifically investigate how the muscular activity and the cardiovascular forces originated by the heart movement and the blood ejection in the ascending aorta affect the ground reaction force in the head-to-toes direction. The forces produced by the cardiovascular activity were modeled by a time-varying force actuator connected to the torso whose characteristics were obtained from the literature. The muscles identified as active during Part I of this work, mainly the erector spinae and oblique abdominal muscles, were modeled as a single force actuator acting with equal and opposite force between the pelvis and the thoracic spine. The force versus time data were obtained from the electromyographic signals obtained in Part I. Although the model of the human body used in this investigation was simple, the results of the simulations clearly showed that the cardiovascular forces alone are not sufficient for generating the large negative (i.e., upward) peak observed in the vertical ground reaction force. The peaks were mainly the result of a very modest muscular contraction of the spinal muscles. The simulations offer further evidence to support the hypothesis that trunk muscles contractions are capable of generating vertical ground reaction force oscillations that are consistent with the experimental results. These oscillations are apparently generated by a combination of cardiovascular and muscular forces.

Adult↗

[Mathematical model of the morphogenesis of tumor nodules].

A mathematical model of morphogenesis of tumor nodes has been developed on the basis of the physical theory of elasticity. According to the model, one of the important morphogenetic factors of tumors consists of their internal elastic forces determining the structure of tumor nodes and intermittent phase-wise pattern of their development. The existence of a certain "critical point" in the morphogenesis of nodes (determined by the size of the tumor and its histological structure) was established the passing of which lead to a sharp decrease in the tissue pressure in node centers. The gradient of tissue pressure in tumor nodes is the leading pathogenetic factor of secondary changes and results in the appearance of a typical zonal histotopographic structure of tumors. On the basis of the rate of tumor growth alone, the model allows the intensity of their cell division to be determined and also shows the process of cell proliferation in tumor nodes to be subject to the regularities of Fibonacci number series.

Adenocarcinoma↗

[Mathematical modeling of thermal regulation in local hyperthermia].

A mathematical model for description of transient heating of biological tissue during the local hyperthermia is proposed. The model is based on the bioheat transfer equation and on equation of thermoregulation which represents integro-differential relationship between the local temperature and the local blood perfusion rate. One-dimensional electromagnetic heating of a semi-infinite homogeneous tissue volume and a local approximation of the problem are studied numerically and analytically. A possibility of the oscillatory local temperature response in return to local constant power heating is investigated for different forms of the thermoregulation equation. It is shown that long-time undamped temperature oscillations are predicted under assumption about memory's mechanism in blood flow regulation is accepted.

Body Temperature Regulation↗

[Mathematical model of "respiratory sinus arrhythmia"].

We developed a mathematical model of "respiratory" sinus arrhythmia. The model combines a representation continuous in time of the parasympathetic and sympathetic innervation and the membrane potential of the pace maker cell of the heart with a beat-by-beat representation of the cardiovascular variables like diastolic and systolic blood pressure, pulse pressure, total peripheral resistance and baroreceptor activity. The influence of respiration is described separately by mechanical and central neural mechanisms. Using this nonlinear model of "respiratory" heart rate variability one is able to explore in a theoretical way the different heart rate variability generating mechanisms, either as isolated or combined effects on both, heart rate variability in the frequency range of respiration and in the frequency range around 0.1 Hz. By fitting a simulated RR interval time course to a physiological RR interval time course one can estimate the relative weight of the different mechanisms generating this physiological heart rate variability.

Arrhythmia, Sinus↗

[Mathematical model of the interaction of cations and anions in a channel].

A mathematical model of the ionic channel permeable both to anions and cations is considered. The model takes into account the electrostatic interaction between oppositely charged ions and does not suppose single-file movement. An equation for zero-current potential is derived, which leads to the Goldman equation in the limit of low ion concentrations. The model is used to describe concentration relationships of zero-current potentials on a lipid bilayer with amphotericin B channels which cannot be described on the basis of the independence principle.

Anions↗

Corneal asphericity and its implications for photorefractive keratectomy: a mathematical model.

BACKGROUND: Several clinical trials investigating myopic excimer laser photorefractive keratectomy (PRK) report an initial change in refraction from myopia to hyperopia, followed by a gradual regression toward emmetropia and occasionally to recurrent myopia. We examined the effect of corneal shape on refraction following PRK for myopia using a mathematical model. METHODS: We calculated the volume of corneal tissue removed by PRK for -3.00-diopter (D) and -6.00-D corrections with ablation diameters of 5 mm and 6 mm. For all the operating algorithms, the central region of the cornea was considered spherical. Mathematical models were developed based on calculations of the apical radius of the ablated cornea and the final refraction for a range of corneal asphericities. Baker's equation was used to model corneal asphericity. RESULTS: The smaller both the ablation size and desired correction, the smaller the effect of corneal asphericity on the refractive outcome. While corneal asphericity can influence the immediate refraction after PRK, the maximum effect is unlikely to be greater than +0.75 D. CONCLUSIONS: Corneal asphericity marginally affects the initial outcome of PRK. The effect will probably be offset by the healing response of the cornea.

Cornea↗

On mathematical models of microdialysis: geometry, steady-state models, recovery and probe radius.

Commonly used methods for microdialysis recovery measurement are reviewed and the zero flow and no net flux methods are suggested as the most robust in practice. Six different mathematical models of microdialysis assumptions are investigated and compared for varying dialysis probe radius. One transmitter (dopamine), three metabolites (DOPAC, HVA and 5HIAA) and two drugs (caffeine and theophylline) were studied. Histology and functional response to a drug were measured. Deficiencies were demonstrated for several of the models, the one best explaining experimental data includes both passive diffusion and active tissue regulation in a cylindrical symmetric geometry. The recovery decreased with decreasing probe radius but smaller probes caused less tissue injury. It is concluded that a mathematical model of microdialysis must include diffusional and physiological processes in order to accurately account for experimentally observed phenomena. The experiments also demonstrated that, for small brain nuclei, the size of the nucleus may influence the recovery.

Animals↗

Mathematical model of L5178Y mouse lymphoma forward mutation assay.

A mathematical model of the biological protocol for the Mouse Lymphoma L5178Y Forward Mutation Bioassay is presented. The model relates the mutant progenitor frequency (MPF), the number of cells per million surviving cells with DNA damage after exposure to the chemical, to the mutant frequency (MF), the number of TFT-resistant cells per million survivors. For a given expression time, the deterministic relationship is linear and the proportionality constant depends on the relative suspension growth factor (rg) and relative cloning efficiencies (rc) of mutants to those of wild type cells: MF = (rg X rc) X MPF. Experimental noise leads to variations in the values of rg and rc and lack of reproducibility in the system. If mutant progenitors and their progeny grow as well as wild-type cells and if all of the parental mutant progenitors express the mutant phenotype, then rg = 1/2 and rc = 1. Biological mechanisms, such as differential growth characteristics of mutant and wild-type cells or DNA repair, can make the mutant frequency an inaccurate estimate of the MPF. For the assay to be useful as a screen for the mutagenic activity of chemicals, rg X rc has to be reasonably constant from chemical to chemical.

Animals↗

Mathematical models use varying parameter strategies to represent paralyzed muscle force properties: a sensitivity analysis.

BACKGROUND: Mathematical muscle models may be useful for the determination of appropriate musculoskeletal stresses that will safely maintain the integrity of muscle and bone following spinal cord injury. Several models have been proposed to represent paralyzed muscle, but there have not been any systematic comparisons of modelling approaches to better understand the relationships between model parameters and muscle contractile properties. This sensitivity analysis of simulated muscle forces using three currently available mathematical models provides insight into the differences in modelling strategies as well as any direct parameter associations with simulated muscle force properties. METHODS: Three mathematical muscle models were compared: a traditional linear model with 3 parameters and two contemporary nonlinear models each with 6 parameters. Simulated muscle forces were calculated for two stimulation patterns (constant frequency and initial doublet trains) at three frequencies (5, 10, and 20 Hz). A sensitivity analysis of each model was performed by altering a single parameter through a range of 8 values, while the remaining parameters were kept at baseline values. Specific simulated force characteristics were determined for each stimulation pattern and each parameter increment. Significant parameter influences for each simulated force property were determined using ANOVA and Tukey's follow-up tests (alpha <or= 0.05), and compared to previously reported parameter definitions. RESULTS: Each of the 3 linear model's parameters most clearly influence either simulated force magnitude or speed properties, consistent with previous parameter definitions. The nonlinear models' parameters displayed greater redundancy between force magnitude and speed properties. Further, previous parameter definitions for one of the nonlinear models were consistently supported, while the other was only partially supported by this analysis. CONCLUSION: These three mathematical models use substantially different strategies to represent simulated muscle force. The two contemporary nonlinear models' parameters have the least distinct associations with simulated muscle force properties, and the greatest parameter role redundancy compared to the traditional linear model.

Journal Article↗

A mathematical model that reproduces vertical ocular following responses from visual stimuli by reproducing the simple spike firing frequency of Purkinje cells in the cerebellum.

A mathematical model that accurately reproduces eye movements from visual stimuli and incorporates intermediate neural signals is useful for quantitative analysis of the neural mechanisms involved in transforming visual stimuli to eye movements. Here we describe a mathematical model consisting of two systems: a non-linear system that relates retinal slip to simple spike firing frequency of Purkinje cells in the ventral paraflocculus (VPFL) and a linear system that relates VPFL simple spike firing frequency to eye movement. This model accurately reproduced the firing frequency of Purkinje cells and ocular following responses from visual stimulation paradigms used in physiological experiments.

Action Potentials↗

[A mathematical model of operative analysis and prognosis in outbreaks of hospital infections in newborn infants (exemplified by Klebsiella infection)].

The results of investigations on the development of a mathematical model (computer program) for the study (imitation) of outbreaks of hospital infections among newborns, caused by Klebsiella pneumoniae. The mathematical model, when "saturated" with real data of the outbreak, opens wide possibilities for the operative analysis and prognosis of morbidity and mortality levels among newborns at the intensive therapy departments of maternity clinics and hospitals. The possibilities of the model (computer program) are illustrated by the prognostic calculations of 3 outbreaks (hypothetical) of hospital infections at the intensive therapy department of the university clinic of Universitario del Valle, Cali (Colombia), resulting from violations of sanitary regulations by medical staff members.

Colombia↗

Computerized mathematical model of M. leprae population dynamics during multiple drug therapy.

A computerized mathematical model of M. leprae populations during multiple drug therapy (MDT) was constructed. Relevant published information available to date was fed into it, and reasoned assumptions were made. From the model, it seems likely that MDT steadily selects bacteria resistant to the most powerful of the three drugs used: unless the individual bactericidal potencies of the drugs balance one another. If the drugs used have differing potencies, cure probably hinges on treatment being continued until all metabolically active bacteria are killed. Withdrawal of treatment before that could lead to relapse with bacteria resistant to the most powerful of the drugs used.

Drug Resistance, Microbial↗

[Mathematical models in clinical radiobiology and optimization of the radiotherapy of tumors].

A mathematical model was developed in the system of tumor-normal tissues. It reflected the main radiobiological factors and regularities of tumor growth kinetics: heterogeneity of cell populations with relation to radiosensitivity and a tendency to proliferation, the effects of reoxygenation. Using a package of RADON applied programs optimum irradiation regimens were obtained simultaneously for single doses and intervals of interfractional recovery. Optimum irradiation regimens were shown to be dynamic fractionation of a total dose and the entire period of treatment.

Cell Survival↗

A mathematical model of the kinetics of platelets and plasma hemostasis system interaction.

A mathematical model of the kinetics of platelet-activated blood coagulation is presented. Non-linear positive feedbacks due to the action of co-factor Va and VIIIa, thrombin-induced platelet activation, the secretion of factor V by platelets are taken into account. The intrinsic pathway is shown not to be activated in the absence of platelets for small stimulation intensities. The activation occurs if initial platelet activation by inductors other than thrombin exceeds a threshold value.

Blood Coagulation↗

A mathematical model to determine facility needs for a radiology department.

In summary, a mathematical model has been developed, tested, and applied which measures effectively the number as well as the type of radiographic rooms needed to meet the current and projected radiographic demand for a typical health care facility. The model first required a projection of radiographic procedures, based on historical data. Secondly, the projected total by patient classification was subdivided into procedure categories. Finally, the projected categorised radiographic procedures are introduced into the formula (Equation 1) and is shown below: (formula: see text). The formula is applied to each procedure category. The grand total for each of the four separately calculated categories will measure the total number of rooms and type of facility needed in the future. (formula: see text).

Health Facility Planning↗

A transient mathematical model of oxygen depletion during photodynamic therapy.

A transient one-dimensional mathematical model is presented to help visualize the qualitative and quantitative effects on inter-capillary tissue undergoing photodynamic therapy (PDT). The model is solved by a Crank-Nicholson finite difference formulation to provide time-dependent concentrations of the Type II mechanism's photo-oxidation species in the tissue surrounding a capillary. The time-dependent solution allows educated decisions to be made as to the optimum timing of light fractionation (on/off) cycles. Qualitative and quantitative optimization of the PDT process is considered along with a case study of data in the literature, the main goal being to provide optimized light therapy regimens for eventual clinical use.

Animals↗