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Australasian Physical & Engineering Sciences in Medicine, 2019

The inconsistency of volumetric results often seen in MR neuroimaging studies can be partially attributed to small sample sizes and variable data analysis approaches. Increased sample size through multi-scanner studies can tackle the former, but combining data across different scanner platforms and field-strengths may introduce a variability factor capable of masking subtle statistical differences. To investigate the sample size effect on regression analysis between depressive symptoms and grey matter volume (GMV) loss in Alzheimer's disease (AD), a retrospective multi-scanner investigation was conducted. A cohort of 172 AD patients, with or without comorbid depressive symptoms, was studied. Patients were scanned with different imaging protocols in four different MRI scanners operating at either 1.5 T or 3.0 T. Acquired data were uniformly analyzed using the computational anatomy toolbox (CAT12) of the statistical parametric mapping (SPM12) software. Single-and multi-scanner regression analyses were applied to identify the anatomical pattern of correlation between GM loss and depression severity. A common anatomical pattern of correlation between GMV loss and increased depression severity, mostly involving sensorimotor areas, was identified in all patient subgroups imaged in different scanners. Analysis of the pooled multi-scanner data confirmed the above finding employing a more conservative statistical criterion. In the retrospective multi-scanner setting, a significant correlation was also exhibited for temporal and frontal areas. Increasing the sample size by retrospectively pooling multi-scanner data, irrespective of the acquisition platform and parameters employed, can facilitate the identification of anatomical areas with a strong correlation between GMV changes and depression symptoms in AD patients.

The concepts and technology for an open color management system such as that specified by the International Color Consortium (ICC) have been around for a number of years. The adoption of this workflow by the graphic arts industry has been slow. A major contribution to the lack of popularity is that the quality and standards part of the ICC workflow is unregulated and the average user is unable to independently assess the quality of profiles and profile making software. This paper describes a process to evaluate the quality of ICC profiles and suggests that a simple, meaningful merit figure be established. A quality metric can be useful for two reasons. Firstly, it can provide feedback on how well a device has been characterized and therefore how good the device is likely to be in a color managed workflow. Secondly, a universally defined merit figure will allow the comparison of results across manufacturers. If vendor A is very good at making scanner profiles and vendor B is good with printer profiles, then the user can make informed choices appropriate for their workflow. If we are able to establish some standards for profiling, this will help to raise the quality of profiling software, assist user choice and lead to a greater acceptance of ICC color management in the graphic arts and prepress industry.

International Journal of Current Pharmaceutical Research, 2017

Objective: Therefore the aim of the present work was to develop simple, precise and accurate HPTLC method for simultaneous determination of THIO and ACE in pharmaceutical dosage form and application of the method for dissolution study with help of HPTLC method.Methods: The TLC procedure was optimized in view to develop a simultaneous assay method for THIO and ACE. HPTLC Pre-coated plates silica gel 60 F254 20×10 cm, layer thickness 0.2 mm (Merck, Germany). The samples were spotted in the form of bands (8 mm) with a Camag 100 microliter sample (Hamilton) syringe on silica gel precoated aluminium 60F254 plates. The mobile phase consisted of methanol: chloroform: water (9.6: 0.2: 0.2 v/v/v) and 10 ml of mobile phase were used per chromatography run. Plates were scanned over the range of 200-400 nm and the spectra were overlain.Results: The detector response was found to be linear in the concentration range of 0.03-0.180 µg/band and 0.75-4.5 µg/band for THIO and ACE and noting the peak ...