Molecular motors are essential components for the biophysical functions of the cell. Our current quantitative understanding of how multiple motors move along a single track is not complete; even though models and theories for single motor chemomechanics abound. Recently, M.J.I. Müller et al. have developed a tug-of-war model to describe the bidirectional movement of the cargo (PNAS(2008) 105(12...

Mars Global Surveyor (MGS) successfully completed its rst phase of aerobraking in early 1998 and is the rst planetary mission to use aerobraking as a primary means of customizing its orbit to achieve its mission objectives [1]. The aerobraking requirements together with post-launch anomalies [2] presented a unique challenge to provide accurate predictions of the aerothermodynamic environment of...

We study Bayesian discriminative inference given a model family p(c,x, θ) that is assumed to contain all our prior information but still known to be incorrect. This falls in between “standard” Bayesian generative modeling and Bayesian regression, where the margin p(x, θ) is known to be uninformative about p(c|x, θ). We give an axiomatic proof that discriminative posterior is consistent for cond...

The Percus’ test-particle method is extended to predict the interand intramolecular correlation functions of polymeric fluids using a density functional theory developed earlier @J. Chem. Phys. 117, 2368 ~2002!#. The calculated interand intramolecular distribution functions as well as the site–site correlation functions agree well with the results from Monte Carlo simulation for freely jointed ...

Theoretical studies on the e¤ect of life settlement market on consumer welfare show that it crucially depend on the reasons for the lapsation of life insurance policies: if lapsation is purely due to the loss of bequest motives by the policyholders, then life settlement is shown to be detrimental to consumer welfare in equilibrium; on the other hand, if lapsation results from liquidity shocks, ...

We study Bayesian discriminative inference given a model family p(c,x, θ) that is assumed to contain all our prior information but still known to be incorrect. This falls in between “standard” Bayesian generative modeling and Bayesian regression, where the margin p(x, θ) is known to be uninformative about p(c|x, θ). We give an axiomatic proof that discriminative posterior is consistent for cond...

This paper demonstrates the use of exact predictive likelihood functions for simple non-linear models. A measure of predictive efficiency based on the concept of expected information loss is introduced as a way of comparing alternative prediction functions. It is shown that the predictive likelihood function minimizes expected information loss over a wide class of potential prediction functions...

This paper proposes a reliability monitoring scheme for active fault tolerant control systems using a stochastic modeling method. The reliability index is defined based on system dynamical responses and a safety region; the plant and controller are assumed to have a multiple regime model structure; and a semi-Markov model is built for reliability evaluation based on safety behavior of each regi...

abstract background: accurate methods of radiation therapy dose calculation. there are different monte carlo codesfor simulation of photons, electrons and the coupled transport of electrons and photons. mcnpis a general purpose monte carlo code that can be used for electron, photon and coupledphoton-electron transport.monte carlo simulation of radiation transport is considered to be one of the ...

I marketing applications, it is common that some key covariates in a regression model, such as marketing mix variables or consumer profiles, are subject to missingness. The convenient method that excludes the consumers with missingness in any covariate can result in a substantial loss of efficiency and may lead to strong selection bias in the estimation of consumer preferences and sensitivities...