616 research outputs found

    Interdigitation between surface-anchored polymer chains and an elastomer : consequences for adhesion promotion

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    We study the adhesion between a cross-linked elastomer and a flat solid surface where polymer chains have been end-grafted. To understand the adhesive feature of such a system, one has to study both the origin of the grafted layer interdigitation with the network, and the end-grafted chains extraction out of the elastomer when it comes unstuck from the solid surface. We shall tackle here the first aspect for which we develop a partial interdigitation model that lets us analytically predict a critical surface grafting density σP1/10N3/5\sigma^{*} \simeq P^{{1/10}}N^{-{3/5}} beyond which the layer no longer interdigitates with the elastomer. We then relate this result with recent adhesion measurements

    Predicting worsted spinning performance with an artificial neural network model

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    For a given fiber spun to pre-determined yarn specifications, the spinning performance of the yarn usually varies from mill to mill. For this reason, it is necessary to develop an empirical model that can encompass all known processing variables that exist in different spinning mills, and then generalize this information and be able to accurately predict yarn quality for an individual mill. This paper reports a method for predicting worsted spinning performance with an artificial neural network (ANN) trained with backpropagation. The applicability of artificial neural networks for predicting spinning performance is first evaluated against a well established prediction and benchmarking tool (Sirolan YarnspecTM). The ANN is then subsequently trained with commercial mill data to assess the feasibility of the method as a mill-specific performance prediction tool. Incorporating mill-specific data results in an improved fit to the commercial mill data set, suggesting that the proposed method has the ability to predict the spinning performance of a specific mill accurately. <br /

    Development of Fecal Coliform TMDL Protocols for Bass and Cinder Creeks on Kiawah Island

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    2008 S.C. Water Resources Conference - Addressing Water Challenges Facing the State and Regio

    Solid tumors of childhood display specific serum microRNA profiles.

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    BACKGROUND: Serum biomarkers for diagnosis and risk stratification of childhood solid tumors would improve the accuracy/timeliness of diagnosis and reduce the need for invasive biopsies. We hypothesized that differential expression and/or release of microRNAs (miRNAs) by such tumors may be detected as altered serum miRNA profiles. METHODS: We undertook global quantitative reverse transcription PCR (qRT-PCR) miRNA profiling (n = 741) on RNA from 53 serum samples, representing 33 diagnostic cases of common childhood cancers plus 20 controls. Technical confirmation was performed in a subset of 21 cases, plus four independent samples. RESULTS: We incorporated robust quality control steps for RNA extraction, qRT-PCR efficiency and hemolysis quantification. We evaluated multiple methods to normalize global profiling data and identified the 'global mean' approach as optimal. We generated a panel of six miRNAs that were most stable in pediatric serum samples and therefore most suitable for normalization of targeted miRNA qRT-PCR data. Tumor-specific serum miRNA profiles were identified for each tumor type and selected miRNAs underwent confirmatory testing. We identified a panel of miRNAs (miR-124-3p/miR-9-3p/miR-218-5p/miR-490-5p/miR-1538) of potential importance in the clinical management of neuroblastoma, as they were consistently highly overexpressed in MYCN-amplified high-risk cases (MYCN-NB). We also derived candidate miRNA panels for noninvasive differential diagnosis of a liver mass (hepatoblastoma vs. combined MYCN-NB/NB), an abdominal mass (Wilms tumor vs. combined MYCN-NB/NB), and sarcoma subtypes. CONCLUSIONS: This study describes a pipeline for robust diagnostic serum miRNA profiling in childhood solid tumors, and has identified candidate miRNA profiles for prospective testing. IMPACT: We propose a new noninvasive method with the potential to diagnose childhood solid tumors.RCUK, OtherThis is the Author Accepted Manuscript. The final version is available from AACR at http://cebp.aacrjournals.org/content/24/2/350.lon

    Tensile Fracture of Welded Polymer Interfaces: Miscibility, Entanglements and Crazing

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    Large-scale molecular simulations are performed to investigate tensile failure of polymer interfaces as a function of welding time tt. Changes in the tensile stress, mode of failure and interfacial fracture energy GIG_I are correlated to changes in the interfacial entanglements as determined from Primitive Path Analysis. Bulk polymers fail through craze formation, followed by craze breakdown through chain scission. At small tt welded interfaces are not strong enough to support craze formation and fail at small strains through chain pullout at the interface. Once chains have formed an average of about one entanglement across the interface, a stable craze is formed throughout the sample. The failure stress of the craze rises with welding time and the mode of craze breakdown changes from chain pullout to chain scission as the interface approaches bulk strength. The interfacial fracture energy GIG_I is calculated by coupling the simulation results to a continuum fracture mechanics model. As in experiment, GIG_I increases as t1/2t^{1/2} before saturating at the average bulk fracture energy GbG_b. As in previous simulations of shear strength, saturation coincides with the recovery of the bulk entanglement density. Before saturation, GIG_I is proportional to the areal density of interfacial entanglements. Immiscibiltiy limits interdiffusion and thus suppresses entanglements at the interface. Even small degrees of immisciblity reduce interfacial entanglements enough that failure occurs by chain pullout and GIGbG_I \ll G_b

    Calcium-dependent conformational changes of membrane-bound Ebola fusion peptide drive vesicle fusion

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    The fusogenic subdomain of the Ebola virus envelope glycoprotein is an internal sequence located ca. 20 residues downstream the N‐terminus of the glycoprotein transmembrane subunit. Partitioning of the Ebola fusion peptide into membranes containing phosphatidylinositol in the absence of Ca2+ stabilizes an α‐helical conformation, and gives rise to vesicle efflux but not vesicle fusion. In the presence of millimolar Ca2+ the membrane‐bound peptide adopts an extended β‐structure, and induces inter‐vesicle mixing of lipids. The peptide conformational polymorphism may be related to the flexibility of the virus-cell intermembrane fusogenic complex

    Welding dynamics in an atomistic model of an amorphous polymer blend with polymer-polymer interface

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    We consider an atomistic model of thermal welding at the polymer-polymer interface of a polyetherimide/polycarbonate blend, motivated by applications to 3D manufacturing in space. We follow diffusion of semiflexible chains at the interface and analyze strengthening of the samples as a function of the welding time tw by simulating the strain-stress and shear viscosity curves. The time scales for initial wetting, and for fast and slow diffusion, are revealed. It is shown that each component of the polymer blend has its own characteristic time of slow diffusion at the interface. Analysis of strainstress demonstrates saturation of the Young’s modulus at tw = 240 ns, while the tensile strength continues to increase. The shear viscosity is found to have a very weak dependence on the welding time for tw > 60 ns. It is shown that both strain-stress and shear viscosity curves agree with experimental data

    Non-Equilibrium in Adsorbed Polymer Layers

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    High molecular weight polymer solutions have a powerful tendency to deposit adsorbed layers when exposed to even mildly attractive surfaces. The equilibrium properties of these dense interfacial layers have been extensively studied theoretically. A large body of experimental evidence, however, indicates that non-equilibrium effects are dominant whenever monomer-surface sticking energies are somewhat larger than kT, a common case. Polymer relaxation kinetics within the layer are then severely retarded, leading to non-equilibrium layers whose structure and dynamics depend on adsorption kinetics and layer ageing. Here we review experimental and theoretical work exploring these non-equilibrium effects, with emphasis on recent developments. The discussion addresses the structure and dynamics in non-equilibrium polymer layers adsorbed from dilute polymer solutions and from polymer melts and more concentrated solutions. Two distinct classes of behaviour arise, depending on whether physisorption or chemisorption is involved. A given adsorbed chain belonging to the layer has a certain fraction of its monomers bound to the surface, f, and the remainder belonging to loops making bulk excursions. A natural classification scheme for layers adsorbed from solution is the distribution of single chain f values, P(f), which may hold the key to quantifying the degree of irreversibility in adsorbed polymer layers. Here we calculate P(f) for equilibrium layers; we find its form is very different to the theoretical P(f) for non-equilibrium layers which are predicted to have infinitely many statistical classes of chain. Experimental measurements of P(f) are compared to these theoretical predictions.Comment: 29 pages, Submitted to J. Phys.: Condens. Matte
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