even though the use of enzymes as useful analytical reagents when immobilized onto a transducer such as an electrochemical device has been reported in the literature for nearly two decades, the direct, i.e. unmediated electrochemistry of enzymes is, nevertheless, a rather recent development. efforts will be made to introduce the fundamental basis for protein-surface interactions with emphasis o...

background to this date, there has been no specific therapy proven to be effective for cyclic vomiting syndrome (cvs) in controlled trials. multiple regimens have been proposed including: cyproheptadine, propranolol, amitriptyline, and phenobarbital. these medications are not without major side effects. the aim of this study was to describe the authors’ experience with hydroxyzine in children w...

this work is devoted to give a charcaterization of a pomonoid $s$such that all cyclic $s$-posets are regular injective.

Prompted by a question of Jim Propp, this paper examines the cyclic sieving phenomenon (CSP) in certain codes. For example, it is shown that, among dual Hamming codes over Fq, generating function for codedwords according to major index statistic (resp. inversion statistic) gives rise CSP when q=2 or q=3 q=2). A byproduct curious characterization irreducible polynomials F2[x] and F3[x] that are ...

The article introduces cyclic dilation groups and finite affine groups for prime integers, and  as an application of this theory it presents a unified group theoretical approach for the  cyclic wavelet transform (CWT) of prime dimensional periodic signals.

a $p$-group $g$ is called a $mathcal{cac}$-$p$-group if $c_g(h)/h$ is ‎cyclic for every non-cyclic abelian subgroup $h$ in $g$ with $hnleq‎ ‎z(g)$‎. ‎in this paper‎, ‎we give a complete classification of‎ ‎finite $mathcal{cac}$-$p$-groups‎.

BACKGROUND Support vector regression (SVR) and Gaussian process regression (GPR) were used for the analysis of electroanalytical experimental data to estimate diffusion coefficients. RESULTS For simulated cyclic voltammograms based on the EC, Eqr, and EqrC mechanisms these regression algorithms in combination with nonlinear kernel/covariance functions yielded diffusion coefficients with highe...

Imposition of a lasso penalty shrinks parameter estimates toward zero and performs continuous model selection. Lasso penalized regression is capable of handling linear regression problems where the number of predictors far exceeds the number of cases. This paper tests two exceptionally fast algorithms for estimating regression coefficients with a lasso penalty. The previously known ℓ2 algorithm...

Radio-telemetry systems offer the ability to measure blood pressure and heart rate in experimental models of hypertension without the stress artifacts induced by some other methods. We therefore aimed to develop improved, nonparametric regression methods for radio-telemetry data and to use these to assess the effects of pharmacological interventions on cardiac and vascular hypertrophy in the st...

Radio-telemetry systems offer the ability to measure blood pressure and heart rate in experimental models of hypertension without the stress artifacts induced by some other methods. We therefore aimed to develop improved, nonparametric regression methods for radio-telemetry data and to use these to assess the effects of pharmacological interventions on cardiac and vascular hypertrophy in the st...