Cell swelling activates an outwardly rectifying anion channel termed VSOAC (volume-sensitive organic osmolyte/anion channel). Regulation of VSOAC by intracellular electrolytes was characterized in Chinese hamster ovary cells by whole cell patch clamp. Elevation of intracellular CsCl concentration from 40 to 180 mM resulted in a concentration-dependent decrease in channel activation. Activation ...

Control of the False Discovery Rate (FDR) is an important development in multiple hypothesis testing, allowing the user to limit the fraction of rejected null hypotheses which correspond to false rejections (i.e. false discoveries). The FDR principle also can be used in multiparameter estimation problems to set thresholds for separating signal from noise when the signal is sparse. Success has b...

The three parameter Rayleigh damping (RD) model applied to time-harmonic Magnetic Resonance Elastography (MRE) has potential to better characterise fluid-saturated tissue systems. However, it is not uniquely identifiable at a single frequency. One solution to this problem involves simultaneous inverse problem solution of multiple input frequencies over a broad range. As data is often limited, a...

The three-parameter Rayleigh damping (RD) model applied to time-harmonic Magnetic Resonance Elastography (MRE) has potential to better characterise fluid-saturated tissue systems. However, it is not uniquely identifiable at a single frequency. One solution to this problem involves simultaneous inverse problem solution of multiple input frequencies over a broad range. As data is often limited, a...

A pattern to be classified is an object described by d feature values, i.e. a d-dimensional vector x= (x1 x2 ... xd) . Conventional pattern classification aims at associating each pattern to one of c predefined classes {ω1, ω2, ..., ωc} assumed to be representative of particular objects available from a learning set Ω = {x1,x1, ...xn}. The classification is carried out on the base of class labe...

For a simple connected graph G of order n, having Laplacian eigenvalues μ1, μ2, . . . , μn−1, μn = 0, the Laplacian–energy–like invariant (LEL) and the Kirchhoff index (Kf) are defined as LEL(G) = ∑n−1 i=1 √ μi and Kf(G) = n ∑n−1 i=1 1 μi , respectively. In this paper, LEL and Kf are compared, and sufficient conditions for the inequality Kf(G) < LEL(G) are established.

Let Yi ∼ N(μi, 1), i = 1, ..., n, be independent random variables. We study the problem of estimating the quantity S = P {i|C<Yi} μi. We emphasize the case where n is large, the vector (μ1, ..., μn) is sparse, and the value of C is large. The performance of our suggested estimator is studied both theoretically and through simulations. We also obtain some results related to the local false disco...

We consider the problem of estimating the means μi of n random variables Yi ∼ N(μi, 1), i = 1, . . . , n. Assuming some structure on the μ process, e.g., a state space model, one may use a summary statistics for the contribution of the rest of the observations to the estimation of μi. The most important example for this is the Kalman filter. We introduce a nonlinear improvement of the standard ...

• Count data are often modeled using a Poisson model. • If y ∼ Poisson(μ) then E(y) = var(y) = μ. • When counts are assumed exchangeable given μ and the rates μ can also be assumed to be exchangeable, a Gamma population model for the rates is often chosen. • The hierarchical model is then yi ∼ Poisson(μi) μi ∼ Gamma(α, β). • Priors for the hyperparameters are often taken to be Gamma (or exponen...