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Results for “quantitative model”

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At least 613 records · Page 34Linked to original sources
PubMed2006

Developing quantitative, multiscale models for microgravity crystal growth.

Crystal growth conducted under microgravity conditions has had a profound impact on improving our understanding of melt crystal growth processes. Here, we present a brief history of microgravity crystal growth and discuss the development of appropriate models to interpret and optimize these growth experiments. The need for increased model realism and predictive capability demands new approaches for describing phenomena important at several disparate length scales. Of special importance is the ability to represent three-dimensional and transient continuum transport (flows, heat, and mass transfer), phase-change phenomena (thermodynamics and kinetics), and system design (such as furnace heat transfer during melt growth). An overview of mathematical models and numerical algorithms employed to represent such multiscale effects is presented.

Journal Article↗
PubMed2001

A high-capacity quantitative mouse model of drug-mediated immunosuppression based on rejection of an allogeneic subcutaneous tumor.

We describe a high-capacity in vivo assay to measure drug-mediated transplant immunosuppression using a mouse model of Sa1 tumor rejection. Sa1 grew poorly and was rejected by 14 days in immunocompetent allogeneic recipient mice. In nude (nu/nu) mice, Sa1 grew more rapidly and was not rejected, confirming the T cell dependence of this response. In immunocompetent animals, administration of immunosuppressive agents resulted in increased tumor growth relative to vehicle-treated animals. Treatment with immunosuppressive drugs such as cyclosporin A (CsA), 40-O-(2-hydroxyethyl)-rapamycin (SDZ RAD), or 2-amino-2-[2-(4-octylphenyl)ethyl]-1,2-propanediol hydrochloride (FTY720) produced dose-dependent inhibition of tumor rejection. By contrast, the drugs did not affect Sa1 tumor growth in nu/nu mice, which is consistent with their predicted indirect effect on tumor size by suppressing immunity, rather than by directly stimulating Sa1 growth. Drug potency, which is usually not described for immunosuppressive agents, was calculated from the linear relationship between drug dose and tumor volume. The potency of CsA was inversely related to the stringency of the histocompatibility barrier. Another advantage of this assay is that the endpoint is an objective size measurement over a short time period, compared with transplant models where the endpoint may not be reached for many weeks and may be more subjective. In addition, this model can measure the potency of combination drug treatments and compare new immunosuppressive drug regimens. For example, the administration of SDZ RAD or FTY720 with CsA resulted in a more than additive increase in potency, compared with the sum of the drugs as single agents.

Animals↗
PubMed2001

[Study of quantitative calibration model suitability in near-infrared spectroscopy analysis].

Near-infrared spectroscopy is a fast, high efficiency and low cost analytical technique, that depended on analytical models which are built through near-infrared spectra, the primary method results of calibration set and chemometrics methods. The reliability of analytical results mostly depends on the suitability of analytical model to unknown samples. To judge the suitability of analytical model, a new method is presented that combine principle factor analysis (PCA) and Mahalanobis distance. It is different with traditional method, that the Mahalanobis distance is calculated through PCA factor scores. It can avoid the wavelengths selection problem in traditional method of spectral Mahalanobis distance. Through the determination of cetane number of diesel fuel, some factors that affect model suitability judgement are discussed.

Calibration↗
PubMed2005

[A comprehensive quantitative assessment model for arid area's basin water-soil environment quality].

The existing assessment models for water-soil environment quality are usually established on the relationships between assessment indicators and their assessment criteria. Such kinds of models are varied with regional scale, and always need a mass of calculation work. This paper tried to find a general assessment model based on a given water-soil quality assessment criteria. In this process, stochastic technology was used to simulate enough assessment indictor series, and then, assessment model was built up by using artificial neural network to assess these series. This model could reduce work load, and needn't construct functional relations between assessment indicators and their criteria and calculate weigh value. A case study in a basin with the highest level of water resources utilization showed that the model was practical and convenient, and could be used in basin water-soil quality assessment.

Conservation of Natural Resources↗
PubMed1988

Detection of cardiomyopathy in an animal model using quantitative autoradiography.

A fatty acid analog (15-p-iodophenyl)-3,3 dimethyl-pentadecanoic acid (DMIPP) was studied in cardiomyopathic (CM) and normal age-matched Syrian hamsters. Dual tracer quantitative wholebody autoradiography (QARG) with DMIPP and 2-[14C(U)]-2-deoxy-2-fluoro-D-glucose (FDG) or with FDG and 201Tl enabled comparison of the uptake of a fatty acid and a glucose analog with the blood flow. These comparisons were carried out at the onset and mid-stage of the disease before congestive failure developed. Groups of CM and normal animals were treated with verapamil from the age of 26 days, before the onset of the disease for 41 days. In CM hearts, areas of decreased DMIPP uptake were seen. These areas were much larger than the decrease in uptake of FDG or 201Tl. In early CM only minimal changes in FDG or 201Tl uptake were observed as compared to controls. Treatment of CM-prone animals with verapamil prevented any changes in DMIPP, FDG, or 201Tl uptake. DMIPP seems to be a more sensitive indicator of early cardiomyopathic changes as compared to 201Tl or FDG. The trial of DMIPP and SPECT in the diagnosis of human disease, as well as for monitoring the effects of drugs which may prevent it seems to be warranted.

Animals↗
PubMed1980

Experimental model for quantitative study of metastasis.

This paper describes the growth of HEp-3, a human epidermoid carcinoma, in the chick embryo. When inoculated onto the chorioallantoic membrane, the tumor grows locally with a doubling time of 21 to 24 hr and disseminates widely in the embryo proper, metastasis to the lung and heart being especially prominent. The tumor secretes large amounts of plasminogen activator (PA) both in vivo and in vitro. This enzyme of human origin can be easily identified in a mixture containing both human and chicken PA's, since each PA has a marked preference for the homologous plasminogen. Thus the presence of human PA in tissues and body fluids can be used as a quantitative marker for HEp-3 metastasis both in embryos and in newly hatched chicks. Two assays for metastasis are described; their respective sensitivities are less than 4 x 10(4) and less than 500 HEp-3 cells per 17-day chick embryo lung (or approximately 1 HEp-3 cell per 400 and per 3 x 10(4) lung cells), respectively. These assays revealed that tumor growth and metastasis are sensitive to embryo age, inoculation onto the chorioallantoic membrane at 10 days being optimal for both. Tumor size, the length of the latent period that precedes the appearance of lung metastasis, and the number of metastatic cells in the lungs are all influenced by inoculum size. Generally, but not uniformly, an increased level of lung metastasis is correlated with tumor size on the chorioallantoic membrane. The attractive features of this system for quantitative study of metastasis are reproducibility rapidity, sensitivity, convenience, and cost.

Age Factors↗
PubMed1998

A model for quantitative assessment of visual field changes in primary open-angle glaucoma with a computerized perimeter DICON TKS 4000.

PURPOSE: To evaluate the feasibility of using the grading algorithm utilized by the Advanced Glaucoma Intervention Study (AGIS) on a Humphrey Field Analyser with program 9 (76/30 degrees Threshold Grid) of a computerized perimeter DICON TKS 4000 and find whether the obtained score can be used to determine the stage of glaucoma. METHODS: Computerized perimetry was performed on 205 eyes with proven or suspected glaucoma. Visual field changes were assessed first subjectively, and then with the scoring method used in AGIS: the size, depth, and location of the visual field defects, and the nasal step were determined using a stencil and then the final score was calculated. RESULTS: Of 205 eyes examined 79 had perimetric changes. These were allocated subjectively into four groups corresponding to four stages of glaucoma: initial, evoluted, advanced and terminal. The mean scores for each group were calculated. There was a statistically significant correlation between the score and the stage of glaucoma. The mean scores for the first 3 stages differed significantly from each other. For stages 3 and 4 the difference was not statistically significant. CONCLUSION: The AGIS scoring method, developed originally for program 30-2 of the Humphrey Field Analyzer, can be applied with the 30 degrees Threshold Grid program of DICON TKS 4000 Perimeter for objective assessment of the glaucoma stage.

Feasibility Studies↗
PubMed2006

Resources for integrative systems biology: from data through databases to networks and dynamic system models.

In systems biology, biologically relevant quantitative modelling of physiological processes requires the integration of experimental data from diverse sources. Recent developments in high-throughput methodologies enable the analysis of the transcriptome, proteome, interactome, metabolome and phenome on a previously unprecedented scale, thus contributing to the deluge of experimental data held in numerous public databases. In this review, we describe some of the databases and simulation tools that are relevant to systems biology and discuss a number of key issues affecting data integration and the challenges these pose to systems-level research.

Animals↗
PubMed1992

Blood glucose response to stress hormone exposure in healthy man and insulin dependent diabetic patients: prediction by computer modeling.

To establish a qualitative and quantitative model of blood glucose response to stress hormone exposure, healthy subjects (HS) on and off somatostatin (250 micrograms/h) as well as insulin dependent diabetic patients were infused with either epinephrine (E), glucagon (G), cortisol (F), growth hormone (GH) or with a cocktail of these hormones raising plasma stress hormones to values seen in severe diabetic ketoacidosis. The developed input/output model consists of two submodels interconnected in series plus two additional submodels for correction of gains describing both sensitivity of tissue response and utilisation as well as provision of glucose. It was shown and confirmed experimentally that blood glucose response to stress hormones was essentially nonlinear. Furthermore, the mathematical models for healthy subjects and for insulin dependent diabetic patients proved to be of the same structure and differed only in the values of some typical parameters. The model raises the possibility to describe and in part to predict blood glucose response to stress hormone exposure in healthy man and insulin dependent diabetic patients.

Adult↗
PubMed1981

The evaluation of plasmin and streptokinase activator complexes in a new rabbit model of venous thrombosis.

A new quantitative model for the examination of potential thrombolytic agents is described. A thrombus was formed in the inferior vena cava of the rabbit, using 125 I-labelled fibrinogen mixed with a standard amount of thromboplastin. The thrombus was anchored securely by means of a woollen thread inserted longitudinally into the lumen of the vein. Thrombotic extension of the radioactive clot and rethrombosis during the experimental period (5 h) were prevented by the administration of intravenous heparin. In control animals, the thrombus remained stable and there was no rise in te radioactivity of the circulating blood during 5 h. In animals given thrombolytic agents, lysis could be followed continuously by measuring the rise in blood radioactivity. Total lysis was determined by counting the radio-label in the residual clot after treatment. The model has been used to study the thrombolytic activity of streptokinase-human plasminogen complexes, activator-free plasmins of human and porcine origin, and human plasmin produced by streptokinase (SK) activation of human plasminogen. The role of activator complexes in the thrombolytic activity of SK-activated plasmin is discussed.

Animals↗
PubMed1976

An experimental test of two mathematical models applied to the size-weight illusion.

Two quantitative models, which make different quantitative predictions for the amount of the size-weight illusion, were tested according to the psychophysical methods employed by the respective authors (magnitude estimation versus category ratings). Both models with their corresponding method were supported. This causes uncertainty over Anderson's chaim that the validity of both a model and the applied scale used is sufficiently test by the socalled joint testing procedure.

Humans↗
PubMedDate not supplied

Determining the validity of a QSAR model--a classification approach.

The determination of the validity of a QSAR model when applied to new compounds is an important concern in the field of QSAR and QSPR modeling. Various scoring techniques can be applied to specific types of models. We present a technique with which we can state whether a new compound will be well predicted by a previously built QSAR model. In this study we focus on linear regression models only, though the technique is general and could also be applied to other types of quantitative models. Our technique is based on a classification method that divides regression residuals from a previously generated model into a good class and bad class and then builds a classifier based on this division. The trained classifier is then used to determine the class of the residual for a new compound. We investigated the performance of a variety of classifiers, both linear and nonlinear. The technique was tested on two data sets from the literature and a hand built data set. The data sets selected covered both physical and biological properties and also presented the methodology with quantitative regression models of varying quality. The results indicate that this technique can determine whether a new compound will be well or poorly predicted with weighted success rates ranging from 73% to 94% for the best classifier.

Algorithms↗