Applied Science Private University

About: Applied Science Private University is a education organization based out in Amman, Jordan. It is known for research contribution in the topics: Population & Catalysis. The organization has 4124 authors who have published 5299 publications receiving 116167 citations.

Fibrinogen adsorption and platelet lysis characterization of fluorinated surface-modified polyetherurethanes.

Abstract: A polyetherurethane (PU) was modified using fluorinated surface-modifying macromolecules (SMMs). A double radiolabel method was used simultaneously to measure the number of adhered platelets (51Cr) and the quantity of adsorbed Fg (125I), in a cone-and-plate instrument. The objectives were to determine if adsorbed Fg levels correlated to platelet adhesion on the surfaces, and to assess if any reductions in platelet adhesion for the SMM-treated surfaces resulted from surface-induced platelet lysis, rather than changes directly related to lower platelet activation and attachment on the novel surfaces. Platelet lysis was determined from lactate dehydrogenase (LDH) and unbound 51Cr released into plasma isolated from whole blood exposed to test materials. The corresponding Fg adsorption, evaluated under the same platelet adhesion conditions, did not account for the reduced platelet adhesion on the treated surfaces. LDH and 51Cr platelet release were very low and indicated no statistically significant differences between the materials. It was therefore concluded that platelet lysis did not contribute to the reduction in platelet adhesion characteristic observed on the SMM-treated surfaces. More importantly, the work emphasizes that the platelet activation cannot be inferred to by assessing the quantity of fibrinogen as is commonly done in the literature. The finding suggests a much more complex mechanism of action for the SMM surface modifiers. On-going work is investigating other Fg parameters such as protein binding affinity and protein conformational state in order to establish the mechanism by which the fluorinated surface modifiers may be reducing platelet adhesion via intermediary changes in initial protein adsorption. © 2006 Wiley Periodicals, Inc. J Biomed Mater Res 2007

Performance testing of energy models: are we using the right statistical metrics?

Abstract: Testing the predictive performance of energy models (EMs) is necessary to evaluate their accuracies. This paper investigates the adequacy of existing statistical metrics that are often used by professionals and researchers to test EMs. It discerns that coefficient of variance of root mean squared error (CVRMSE) and mean bias error (MBE), which are prescribed in ASHRAE guideline 14, are not suitable for system-level energy model testing. It points out the limitations of CVRMSE, MBE, and also root mean squared error (RMSE). The analysis shows that the normalizing term of statistical metrics influences its accuracy in determining the predictive performance of EMs. An alternative metric (range normalized root mean squared error, RN_RMSE) is proposed that normalizes the RMSE by the range of the data as a replacement for CVRMSE. It is shown that RN_RMSE when used in tandem with can provide more meaningful and accurate representation of the performance of system-level EMs. Abbreviations Ems: energy models; IDFs:...