The changes in Glx raise the possibility that behavior therapy and medication treat OCD symptoms through similar pathways. (C) 2012 Elsevier Ireland Ltd. All rights reserved.”
“Objective: To review the
available methods of evaluating the small airways disease in asthma and the therapeutic strategies to achieve better control using emerging extrafine particle inhaler technologies.\n\nData Sources: The PubMed, MEDLINE (Ebsco), Scirus, Scopus, and Google Scholar databases were all scanned with Cross-search using the following keywords: asthma, small airways, hydrofluoroalkane 134a, extrafine particle, inhaled corticosteroid, long-acting b-agonist, spirometry, impulse oscillometry, nitrogen washout, exhaled nitric oxide, airway hyperresponsiveness, and adrenal suppression.\n\nStudy Selection: Key clinical studies considered THZ1 solubility dmso to being relevant to the topic under review were evaluated.\n\nResults: Selleck Navitoclax There is an unmet need in current asthma guidelines for those individuals who exhibit the small airways asthma phenotype with a preserved forced expiratory volume in 1 second but abnormal forced midexpiratory flow and peripheral airway resistance, which tends to be associated with poorer control. Extrafine hydrofluoroalkane solution formulations of inhaled corticosteroid either alone or in combination with long-acting
b-agonist may improve small airways outcomes and associated control.\n\nConclusion: www.selleckchem.com/products/stattic.html From a pragmatic perspective, it makes sense to try to deliver asthma treatment to more of the lung to improve clinical outcomes, especially in patients who exhibit the small airways asthma phenotype. (C) 2013 American College of Allergy, Asthma & Immunology. Published by Elsevier
Inc. All rights reserved.”
“The ability to predict meat drip loss by using either near infrared spectra (SPECTRA) or different meat quality (MQ) measurements, Such as pH(24), Minolta L*, a*, b* along with different chemometric approach, was investigated. Back propagation (BP) and counter propagation (CP) artificial neural networks (ANN) were used and compared to PLS (partial least squares) regression. Prediction models were created either by using MQ measurements or by using NIR spectral data as independent predictive variables. The analysis consisted of 312 samples of longissimus dorsi muscle. Data were split into training and test set using 2D Kohonen map. The error of drip loss prediction was similar for ANN (2.2-2.6%) and PLS models (2.2-2.5%) and it was higher for SPECTRA (2.5-2.6%) than for MQ (2.2-2.3%) based models. Nevertheless. the SPECTRA based models gave reasonable prediction errors and due to their simplicity of data acquisition represent an acceptable alternative to classical meat quality based models. (C) 2009 Elsevier Ltd. All rights reserved.
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