A general kinetic analysis of transport Tests of the carrier model based on predicted relations among experimental parameters

1979 ◽  
Vol 556 (3) ◽  
pp. 533-547 ◽  
Author(s):  
R. Devés ◽  
R.M. Krupka
Keyword(s):  
Kinetic Analysis ◽  
Model Based ◽  
Carrier Model ◽  
Experimental Parameters

scholarly journals CONTRIBUTION OF MODELING FOR A BETTER UNDERSTANDING OF MICROBIAL ECOSYSTEMS

2019 ◽  
pp. 14-22
Author(s):  
Jérôme Harmand
Keyword(s):  
Mass Balance ◽  
Large Class ◽  
Probabilistic Approach ◽  
Microbial Interactions ◽  
Mathematical Ecology ◽  
Community Assemblage ◽  
Competition Theory ◽  
Model Based ◽  
Microbial Ecosystems ◽  
Experimental Parameters

This paper aims at presenting how a number of recent modeling approaches can be used for better understanding microbial ecosystems dynamics. In first part, an important question – the ability of certain ecosystems to exhibit overyielding – is investigated using a model-based approach. It is shown that classical competition theory cannot explain such phenomenon, thus invalidating a large class of classical mass-balance-based models, Rapaport et al. (2019). In second part, we show how new combinatorial approaches can be used to find the best combination of species of a functional ecosystem with limited complexity. More precisely classification approaches inspired from the work by Jaillard et al. (2018) are used and illustrated with simulations. Their robustness with respect to a number of experimental parameters (investigated in simulation) is studied. For ecosystems with higher richness, we show how another probabilistic approach proposed by Jaillard et al. (2014) may be useful. Keywords: Modeling, microbial ecosystems, microbial interactions, mathematical ecology, diversity, community assemblage.

Photolyse des Äthylens im Bereich 147 — 193 nm / Ethylene Photolysis At 147 — 193

1972 ◽  
Vol 27 (4) ◽  
pp. 628-638 ◽  
Author(s):  
P. Potzinger ◽  
L. Glasgow ◽  
G. Bünau
Keyword(s):  
Light Intensity ◽  
Kinetic Analysis ◽  
Photon Energy ◽  
Pressure Dependence ◽  
Experimental Parameters ◽  
193 Nm ◽  
Tentative Correlation

Abstract Ethylene photolysis was investigated at 147, 163, 185 and 193 nm. The following three primary processes were observed at all wavelengths C2H4 + hν → C2H2 + H2, (1) C2H4 + hν → C2H2 + 2H, (2) C2H4 + hν → C2H3 + H. (3) (1) was independent of all experimental parameters tested: temperature, pressure, wavelength, scavenger, and light intensity. (2) decreases with increasing pressure and increases with increasing photon energy. (3) shows almost no pressure dependence at 185 nm and decreases in importance with increasing photon energy. A kinetic analysis shows that participation of at least three different states of ethylene must be invoked to explain the results. A tentative correlation of these states with the spectroscopic states of ethylene is given.

scholarly journals Model‐Based Cellular Kinetic Analysis of Chimeric Antigen Receptor‐T Cells in Humans

2020 ◽  
Author(s):  
Can Liu ◽  
Vivaswath S. Ayyar ◽  
Xirong Zheng ◽  
Wenbo Chen ◽  
Songmao Zheng ◽  
...  
Keyword(s):  
T Cells ◽  
Kinetic Analysis ◽  
Chimeric Antigen Receptor ◽  
Antigen Receptor ◽  
Model Based

scholarly journals Tisagenlecleucel Model‐Based Cellular Kinetic Analysis of Chimeric Antigen Receptor–T Cells

2019 ◽  
Vol 8 (5) ◽  
pp. 285-295 ◽  
Author(s):  
Andrew M. Stein ◽  
Stephan A. Grupp ◽  
John E. Levine ◽  
Theodore W. Laetsch ◽  
Michael A. Pulsipher ◽  
...  
Keyword(s):  
T Cells ◽  
Kinetic Analysis ◽  
Chimeric Antigen Receptor ◽  
Antigen Receptor ◽  
Model Based

Non-Car Operating Carrier Model Based on “Internet+”

ICTE 2019 ◽  
2020 ◽  
Author(s):  
Zhongquan Qiu ◽  
Yan Zhang ◽  
Hongxia Yuan ◽  
Yiming Zhao
Keyword(s):  
Model Based ◽  
Carrier Model

scholarly journals Model-based estimation of radio parameters

2018 ◽  
Vol 28 (3) ◽  
pp. 31-45
Author(s):  
A. A. Moiseev
Keyword(s):  
Selection Criterion ◽  
Model Parameters ◽  
Passive Location ◽  
Amplitude Analysis ◽  
Model Based ◽  
Experimental Parameters ◽  
Directional Characteristics ◽  
Adequacy Criterion ◽  
Direct Processing ◽  
Grid Nodes

It’s proposed to use model-based approach for evaluation of radiation parameters observed by passive location facilities. This method is based on model parameters adjustment and interpretation of correspondent parameters values as experimental parameters evaluations. Evaluation adequacy criterion in this case is maximal probability of overlapping of experimental and model ranges of parameters. Preliminary objects selection can be based on frequency or/end directional characteristics of received signals. A possible selection criterion is based on discrimination conditions of frequency and time ranges. The appropriate analysis is performed on the basis of the extremal analysis enabling to select ranges corresponding to observed objects. Selected ranges are transformed into time functions to be analyzed by model-based method. Therewith the frequency analysis is performed on the assumption of linear frequency modulation of the signal observed. In its turn, the amplitude analysis is based on the passive location model. Parameters are selected either by Monte-Carlo method or by direct processing of equidistant grid nodes.

scholarly journals Testing transport models and transport data by means of kinetic rejection criteria

1989 ◽  
Vol 260 (3) ◽  
pp. 885-891 ◽  
Author(s):  
R M Krupka
Keyword(s):  
Experimental Data ◽  
Kinetic Analysis ◽  
Glucose Transport ◽  
Transport System ◽  
Reaction Scheme ◽  
Transport Systems ◽  
Choline Transport ◽  
Carrier Model ◽  
Glucose Transport System ◽  
General Relations

In the case of a transport system obeying Michaelis-Menten kinetics, completely general relationships are shown to exist between the final ratio of internal and external substrate concentrations, alpha, and the V/Km ratios found in zero-trans-entry, zero-trans-exit and equilibrium-exchange experiments (where V is a maximum substrate flux and Km a substrate half-saturation constant). The proof depends on a new method of derivation proceeding from the form of the experimental data rather than, as has been the practice in kinetic analysis, from a hypothetical reaction scheme. These general relationships, which will be true of all mechanisms giving rise to a particular type of behaviour (here Michaelis-Menten kinetics), provide a test for internal consistency in a set of experimental data. Other relationships, which are specific, can be derived from individual reaction schemes, with the use of traditional procedures in kinetic analysis. The specific relationships include constants for infinite trans entry and exit in addition to constants involved in the general relationships. In conjunction, the general and specific relationships provide a stringent test of mechanism. A set of results that fails to satisfy the general relationships must be rejected; here systematic error or unexpected changes in the transport system in different experiments may have distorted the calculated constants, or the system may not actually obey Michaelis-Menten kinetics. Results in accord with the general relationships, on the other hand, can be applied in specific tests of mechanism. The usefulness of the theorem is illustrated in the cases of the glucose-transport and choline-transport systems of erythrocytes. Experimental results taken from several studies in the literature, which were in accord with hyperbolic substrate kinetics, had previously been shown to disagree with relationships derived for the carrier model, and the model was rejected. The new analysis shows that the data violated the general relationships and therefore cannot decide the issue. More recent results on the glucose-transport system satisfy the general relations and agree with the carrier model.

Representation, abstraction, and simple-minded sophisticates

2020 ◽  
Vol 43 ◽  
Author(s):  
Peter Dayan
Keyword(s):  
Decision Theory ◽  
Predictive Coding ◽  
Bayesian Decision Theory ◽  
Bayesian Decision ◽  
Model Based ◽  
Model Free

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.

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