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Balls and quasi-metrics: A space of homogeneous type modeling the real analysis related to the Monge-Ampère equation
      
As an application, starting from the Monge-Ampère setting introduced in [3], we get a space of homogeneous type modeling the real analysis for such an equation.
      
This makes them numerically attractive for applications in geophysical modeling.
      
QSAR AND MOLECULAR MODELING STUDIES IN IMIDAZOPYRIDINETHIAZOLIDINE-2,4-DIONES: PPARγ AGONISTS
      
Molecular Modeling of P-Glycoprotein and Related Drugs
      
This paper summarizes the results from molecular modeling of various multidrug resistance (MDR) modulators and the MDR protein P-glycoprotein (P-gp).
      
We attempted to formulate quantitative structure-activity relationship modeling of 2,5-bis(1-Aziridinyl) 1,4-benzoquinone (BABQ) compounds according to calculated molecular descriptors.
      
Leave-one-out cross-validation and a robustness test were performed, and the model proved to be a suitable alternative QSAR approach for modeling this series of compounds.
      
Elman networks' dynamical modeling capability is discussed in this paper firstly.
      
The polynomial failure rates provide flexibility in modeling the practical time-varying failure rates.
      
Analysis for a free boundary problem modeling tumor therapy
      
This paper is devoted to studying a free boundary problem modeling the effects of drug resistance and vasculature on the response of solid tumors to therapy.
      
The molecular modeling provided further evidence for the formation of the inclusion complexes.
      
The speaker-independent continuous speech recognition experiments show that by only modeling the state duration in DDBHMM, a significant improvement (17.8% error rate reduction) can be achieved compared with the classical HMM.
      
The ideal properties of DDBHMM give promise to many aspects of speech modeling, such as the modeling of the state duration, speed variation, speech discontinuity, and interframe correlation.
      
An integrated approach to modeling and adaptive control
      
From the linearization procedure, we can find a new approach of system identification, which is on-line real-time modeling and real-time feedback control correction.
      
The modeling and real-time feedback control have been integrated in the identification approach, with the parameter adaptation model being abandoned.
      
The structure adaptation of control systems has been achieved, which avoids the complex modeling steps.
      
The objective of this paper is to introduce the approach of integrated modeling and control.
      
 

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