A new model based approach for the prediction and optimisation of thermal homogeneity in single screw extrusion

In polymer extrusion, delivery of a melt which is homogenous in composition and temperature is important for good product quality. However, the process is inherently prone to temperature fluctuations which are difficult to monitor and control via single point based conventional thermo- couples. In this work, the die melt temperature profile was monitored by a thermocouple mesh and the data obtained was used to generate a model to predict the die melt temperature profile. A novel nonlinear model was then proposed which was demonstrated to be in good agreement with training and unseen data. Furthermore, the proposed model was used to select optimum process settings to achieve the desired average melt temperature across the die while improving the temperature homogeneity. The simulation results indicate a reduction in melt temperature variations of up to 60%.

HIF-2alpha Associated Familial Erythrocytosis Supports the PHD2-HIF2-alpha-VHL Axis as the Major Regulator of Erythropoietin Production

Transcriptionally erythropoietin (Epo) synthesis is tightly regulated by the hypoxia inducible factor (HIF), which is composed of one alpha and one beta subunit that are constitutively expressed. The beta subunit is non-variable, but three different alpha subunits give rise to three isoforms of HIF. The alpha subunit is proteasomally regulated in the presence of oxygen by hydroxylation of the proline in the LXXLAP motif of the oxygen dependent degradation (ODD) domain of HIFalpha, catalysed by members of the prolyl hydroxylase domain (PHD) family of enzymes. This allows the von Hippel Lindau (VHL) protein to associate with the alpha subunit, which is subsequently tagged with ubiquitin and degraded by the proteasome. Any defect in the oxygen sensing pathway that allows the alpha subunit to escape proteasomal regulation leads to elevated expression of HIF target genes.

Recently mutations in both VHL and PHD2 have been identified in a cohort of patients with erythrocytosis, but no mutations were found in the ODD domain of HIF1alpha. Instead, investigation of the homologous region in HIF-2alpha revealed four different mutations, Pro534Leu, Met535Val, Gly537Arg and Gly537Trp in seven individuals/families. Affected individuals presented at a young age with elevated serum Epo. Several individuals have a clinical history of thrombosis, but no evidence of a von Hippel Lindau-like syndrome.

To define how the four mutations relate to the erythrocytosis phenotype functional assays were performed in vitro. Binding of PHD2 to the four HIF-2alpha mutants was impaired to varying degrees, with both the Gly537 mutants showing the greatest reduction. The association of VHL with the hydroxylated Met535Val mutant peptide was similar to wild type HIF- 2alpha, but was decreased in the other three HIF-2alpha mutants. Expression of three HIF- 2alpha target genes, adrenomedullin, NDRG1 and VEGF, was significantly up-regulated in cells stably transfected with the mutants under normoxia compared to wild type HIF-2alpha. Mutations in the ODD domain of HIF-2alpha disrupt proteasomal regulation by reducing the association with PHD2 and hence hydroxylation. Furthermore the binding of VHL is also impaired, even when HIF-2alpha is hydroxylated. Examination of the three-dimensional structure of hydroxylated HIF-1alpha bound to VHL confirms that amino acids close to site of hydroxylation (Pro-531 in isoform 2) are important for this association. These observations, together with recent studies utilising murine models of erythrocytosis, support the PHD2-HIF-2alpha-VHL axis as the major regulator of erythropoietin.

Dynamic grey-box modeling for online monitoring of extrusion viscosity

Melt viscosity is a key indicator of product quality in polymer extrusion processes. However, real time monitoring and control of viscosity is difficult to achieve. In this article, a novel “soft sensor” approach based on dynamic gray-box modeling is proposed. The soft sensor involves a nonlinear finite impulse response model with adaptable linear parameters for real-time prediction of the melt viscosity based on the process inputs; the model output is then used as an input of a model with a simple-fixed structure to predict the barrel pressure which can be measured online. Finally, the predicted pressure is compared to the measured value and the corresponding error is used as a feedback signal to correct the viscosity estimate. This novel feedback structure enables the online adaptability of the viscosity model in response to modeling errors and disturbances, hence producing a reliable viscosity estimate. The experimental results on different material/die/extruder confirm the effectiveness of the proposed “soft sensor” method based on dynamic gray-box modeling for real-time monitoring and control of polymer extrusion processes. POLYM. ENG. SCI., 2012. © 2012 Society of Plastics Engineers

The effects of lowering LDL cholesterol with simvastatin plus ezetimibe in patients with chronic kidney disease (Study of Heart and Renal Protection):a randomised placebo-controlled trial

Lowering LDL cholesterol with statin regimens reduces the risk of myocardial infarction, ischaemic stroke, and the need for coronary revascularisation in people without kidney disease, but its effects in people with moderate-to-severe kidney disease are uncertain. The SHARP trial aimed to assess the efficacy and safety of the combination of simvastatin plus ezetimibe in such patients.