Automated spectrophotometric, electrochemical, and immunochemical analyses have become the mainstays of clinical chemistry and toxicology laboratory services, but their scope is limited. A wide array of clinically relevant analytes demand more sophisticated analytical techniques to provide sensitive and specific assays for diagnostic purposes. Gas chromatography (GC) and mass spectrometry (MS) ...

Piezoelectric wafer active sensors (PWAS) are lightweight and inexpensive enablers for structural health monitoring (SHM). After a brief review of PWAS physical principles, basic modeling, and PWAS ultrasonic guide-wave methods, the focus of the paper shifts towards the modeling and simulation. The predictive simulation includes both analytical and finite element analyses. The analytical method...

Combining datasets across independent studies can boost statistical power by increasing the numbers of observations and can achieve more accurate estimates of effect sizes. This is especially important for genetic studies where a large number of observations are required to obtain sufficient power to detect and replicate genetic effects. There is a need to develop and evaluate methods for joint...

Microcantilevers are widely used in micro-/nanoscale mechanics studies. The nonlinear response of a cantilever at large deflection is sometimes overlooked. A general study of cantilever beam nonlinearity under a variety of loading conditions was performed with analytical and finite element analyses. Analytical equations for the applied load and the cantilever deflection were obtained. The canti...

INTRODUCTION In an attempt to improve the radioisotope analyses made in our laboratory on the products of fission mixtures, we attempted the replacement of the classical radiochemical methods (separation, then measurement) by automatic methods in which a more sophisticated analytical process is followed by on-line measurement utilizing Cerenkov counting. In the classical methods which are often...

BACKGROUND The two-stage time series design represents a powerful analytical tool in environmental epidemiology. Recently, models for both stages have been extended with the development of distributed lag non-linear models (DLNMs), a methodology for investigating simultaneously non-linear and lagged relationships, and multivariate meta-analysis, a methodology to pool estimates of multi-paramete...

Principal Components Analysis (PCA), which is more recently referred to as Proper Orthogonal Decomposition (POD) in the literature, is a popular technique in many fields of engineering, science, and mathematics for analysis of time series data. The benefit of PCA for dynamical systems comes from its ability to detect and rank the dominant coherent spatial structures of dynamic response, such as...

Analyses of observable supernova neutrino oscillation effects require the calculation of the electron (anti)neutrino survival probability Pee along a given supernova matter density profile. We propose a simple analytical prescription for Pee, based on a double-exponential form for the crossing probability and on the concept of maximum violation of adiabaticity. In the case of two-flavor transit...