DNA sequencing by multiple capillaries that form a waveguide

A 12-capillary prototype electrophoresis system for DNA sequencing has been constructed. Laser illumination is introduced into an optical waveguide that is formed by an array of individual capillaries that serve both as the optical elements of the periodic array and as the channels containing sieving media for electrophoresis. A theoretical framework and experimental data will be presented to illustrate the viability of this approach

Nurses' perceptions of aids and obstacles to the provision of optimal end of life care in ICU

Contains fulltext : 172380.pdf (publisher's version ) (Open Access

Correlation function profile analysis of polydisperse, macromolecular solutions and colloidal suspensions

Chapter 15 of Methods in Enzymology Volume 117: Enzyme Structure Part J; edited by C.H.W. Hirs, Serge N. Timashef. Chapter summary: This chapter presents the detailed descriptions of five methods of obtaining information about the characteristic linewidth distribution function G(F) from measured photocount autocorrelation functions, each with its own advantages and disadvantages. The cumulants and nonlinear double exponential approaches require no a priori information about G(F), but are severely limited in the form of the distribution functions they can adequately represents. Both the methods discussed in the chapter are useful in providing starting estimates for the other techniques. The linear multiexponential and histogram approaches with singular value decomposition, and the regularized inversion, address the ill conditioning and may therefore be capable of more detailed description of G(F). The singular value decomposition methods requires a value for the range of G(F) in order to set up the model, are not constrained to physically reasonable distributions, and requires an interactive rank reduction stop to achieve a meaningful solution. The results of the histogram and multiexponential singular value decomposition and regularization techniques are illustrated in the chapter

Regularized iterative and non-iterative procedures for object restoration from experimental data

A regularized algorithm for the recovery of band-limited signals from noisy data is described. The regularization is characterized by a single parameter. Iterative and non-iterative implementations of the algorithm are shown to have useful properties, the former offering the advantage of flexibility and the latter a potential for rapid data processing. Comparative results, using experimental data obtained in laser anemometry studies with a photon correlator, are presented both with and without regularization. © 1983 Taylor & Francis Ltd.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

Regularization of an iterative algorithm for the extrapolation of bandlimited signals

info:eu-repo/semantics/publishe

Regularized iterative and noniterative procedures for object restoration in the presence of noise :an error analysis

An analysis is carried out, using the prolate spheroidal wave functions, of certain regularized iterative and noniterative methods previously proposed for the achievement of object restoration (or, equivalently, spectral extrapolation) from noisy image data. The ill-posedness inherent in the problem is treated by means of a regularization parameter, and the analysis shows explicitly how the deleterious effects of the noise are then contained. The error in the object estimate is also assessed, and it is shown that the optimal choice for the regularization parameter depends on the signal-to-noise ratio. Numerical examples are used to demonstrate the performance of both unregularized and regularized procedures and also to show how, in the unregularized case, artefacts can be generated from pure noise. Finally, the relative error in the estimate is calculated as a function of the degree of superresolution demanded for reconstruction problems characterized by low space–bandwidth products.info:eu-repo/semantics/publishe

Estimation of air-sea CO₂ flux in the coastal waters of Visakhapatnam

Observations were conducted in a time series mode off Visakhapatnam in Bay of Bengal, for a period of 10 days from 8 to 19th February 2013 to examine the short-term atmospheric events on chemical processes in the upper 100 m water column. Water column temperature, salinity at 2 h interval from surface to 100 m were collected using CTD whereas water samples were collected for nutrients (phosphate and silicate), Dissolved Inorganic Carbon (DIC), pH, Total Alkalinity (TA) at 4 h interval in the upper 25 m water column. Atmospheric properties such as air temperature, humidity and wind speed were measured in 1 min interval. The winds were normally northeast direction with speed ranged between 0.1 and 8 m/s from 8 to 13th February and decreased to 0.1–4 m/s between 14 and 19th February 2013. The atmospheric pCO₂ ranged from 380 to 420 μatm whereas surface water pCO₂ ranges from ∼370 to 470 μatm during study period. The low pCO₂ levels were associated with low saline water indicating the rich nutrient coastal waters were under saturated with reference to atmosphere. The CO₂ flux estimations for this region showed a significant source to the atmospheric CO₂ . This study provides information on changes in the physical and chemical processes in relation to the CO₂ flux at the air-water interface in the coastal Bay of Bengal