10,617 research outputs found

    The novel membrane enhanced peptide synthesis process

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    In this research project we investigated the feasibility of incorporating organic solvent nanofiltration techniques with peptide synthesis and developed the Membrane Enhanced Peptide Synthesis process ā€“ the MEPS process. Two membranes had been identified to be applicable for the MEPS process to separate the peptide building block from post reaction waste. These are the commercially available Inopor ZrO2/Al2O3 hydrophobic membrane and the cross-linked polyimide membrane that had been fabricated in our laboratory. Two penta-peptides were synthesized on a soluble polymeric support to demonstrate the principle of MEPS process. The purity and yields of these penta-peptides were excellent when compared with one synthesized using the Liquid Phase Peptide Synthesis (LPPS) and Solid Phase Peptide Synthesis (SPPS) processes. To improve the quality and supply of membrane for the MEPS process a number of membrane fabrication parameters were investigated. This investigation demonstrated ways of manipulating the performance of the cross-linked polyimide membrane which gives engineers the opportunity to tailor make polymeric membrane to meet the requirement of the MEPS process. This membrane optimisation provides the MEPS process with a constant supply of reproducible membrane and allows this process to be further developed into a highly repeatable process. Other soluble polymeric support products were also been investigated in an attempt to avoid product contamination by PEGylated waste. Peptide chains were built onto a degradable polymeric support and once the desired peptide sequence had completed, the polymeric support was then completely hydrolysed in acid to obtain a high purity peptide product. Results showed this simple idea was not as straight forward to perform as expected. It demonstrated that the idea was possible and has great potential but further development is required. A number of recommendations have been suggested for further improvement and optimisation of this newly developed MEPS process. Not only these are related to the enhancement of the membrane stability, improvement in peptide crude purity and product yield, but also other potential applications of the MEPS principle

    Responses of heat shock protein 70 and caspase-3/7 to dietary selenomethionine in juvenile white sturgeon.

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    An 8-week feeding trial was conducted to investigate the responses of juvenile white sturgeon (Acipenser transmontanus) to elevated dietary selenium (Se) based on the determination of the RNA/DNA ratio in muscle, heat shock protein 70 (Hsp70), and caspase-3/7 in muscle and/or liver tissues. Four semi-purified test diets were prepared by adding different levels of L-selenomethionine (0, 50, 100, and 200Ā mg/kg diet). The analytical determinations of total Se were 2.2, 19.7, 40.1, and 77.7Ā mg/kg diet. The sturgeon (initial body weight: 30Ā Ā±Ā 2Ā g; meanĀ Ā±Ā SEM) were raised in indoor tanks provided with flow through freshwater (18-19Ā Ā°C). There were three replicates for each dietary treatment with 25 fish per replicate. The liver and muscle tissues were collected at 4 and 8 weeks after feeding the test diets. A significant interaction between duration and levels of dietary Se exposures on RNA/DNA ratio in the muscle tissue was detected (PĀ <Ā 0.05). Although there was no significant main effect due to the duration of dietary Se exposures (i.e., 4 weeks versus 8 weeks) on muscle RNA/DNA ratio (PĀ ā‰„Ā 0.05), the ratio was significantly decreased with increasing dietary Se levels. Significant main effects were caused by the duration and levels of dietary Se exposures on Hsp70 in both the muscle and liver tissues, with significant increases in Hsp70 due to a longer exposure (8 weeks) and higher levels (40.1 and 77.7Ā mgĀ Se/kg diet) of dietary Se. The caspase-3/7 activity in the liver were significantly higher in fish fed the diets containing 40.1 and 77.7Ā mgĀ Se/kg diet than those fed the other diets. The toxic thresholds of Se in the muscle were estimated to be 32.2 and 26.6Ā mgĀ Se/kg for the depressed specific growth rate and the induced Hsp70 response in muscle, respectively. This result indicated that the Hsp70 response in muscle is a more sensitive biomarker than the SGR of sturgeon for evaluating Se toxicity in white sturgeon. Results of the current study suggest that a mechanism involved with the activation of stress protein production and apoptosis protects white sturgeon from the lethal effect of Se

    Secure Mobile IP with HIP Style Handshaking and Readdressing

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    Mobile IP allows the mobile node roaming into a new IP network without losing its connection with its peer. Mobile IPv6 is using Mobile IP with Route Optimizationto improve performance by avoiding the triangle routing and adopting Return Routability as a secure process for binding update. Host Identity Protocol (HIP) is an experimental security protocol which provides mobility management and multi-homing by its new namespace. Its architecture is similar to that of Mobile IP with Route Optimization. In this paper, we have introduced a Secure Mobile IP with HIP Style Handshaking and Readdressing (SMIP), which has stronger security, better performance and lower binding cost in binding update process compared with Mobile IPv6. The dependence of home agent in the new scheme is also shown dramatically decreased. The initiated scheme integrated the primary features of two completely different mobility management solutions and has set up a migration path from mobile-IP based solution to a public-key based solution in mobile IP network

    Non-line-of-sight Node Localization based on Semi-Definite Programming in Wireless Sensor Networks

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    An unknown-position sensor can be localized if there are three or more anchors making time-of-arrival (TOA) measurements of a signal from it. However, the location errors can be very large due to the fact that some of the measurements are from non-line-of-sight (NLOS) paths. In this paper, we propose a semi-definite programming (SDP) based node localization algorithm in NLOS environment for ultra-wideband (UWB) wireless sensor networks. The positions of sensors can be estimated using the distance estimates from location-aware anchors as well as other sensors. However, in the absence of LOS paths, e.g., in indoor networks, the NLOS range estimates can be significantly biased. As a result, the NLOS error can remarkably decrease the location accuracy. And it is not easy to efficiently distinguish LOS from NLOS measurements. In this paper, an algorithm is proposed that achieves high location accuracy without the need of identifying NLOS and LOS measurement.Comment: submitted to IEEE ICC'1

    Quantifying the Dynamics of Bacterial Secondary Metabolites by Spectral Multiphoton Microscopy

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    Phenazines, a group of fluorescent small molecules produced by the bacterium Pseudomonas aeruginosa, play a role in maintaining cellular redox homeostasis. Phenazines have been challenging to study in vivo due to their redox activity, presence both intra- and extracellularly, and their diverse chemical properties. Here, we describe a noninvasive in vivo optical technique to monitor phenazine concentrations within bacterial cells using time-lapsed spectral multiphoton fluorescence microscopy. This technique enables simultaneous monitoring of multiple weakly fluorescent molecules (phenazines, siderophores, NAD(P)H) expressed by bacteria in culture. This work provides the first in vivo measurements of reduced phenazine concentration as well as the first description of the temporal dynamics of the phenazine-NAD(P)H redox system in Pseudomonas aeruginosa, illuminating an unanticipated role for 1-hydroxyphenazine. Similar approaches could be used to study the abundance and redox dynamics of a wide range of small molecules within bacteria, both as single cells and in communities

    Personalized Cinemagraphs using Semantic Understanding and Collaborative Learning

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    Cinemagraphs are a compelling way to convey dynamic aspects of a scene. In these media, dynamic and still elements are juxtaposed to create an artistic and narrative experience. Creating a high-quality, aesthetically pleasing cinemagraph requires isolating objects in a semantically meaningful way and then selecting good start times and looping periods for those objects to minimize visual artifacts (such a tearing). To achieve this, we present a new technique that uses object recognition and semantic segmentation as part of an optimization method to automatically create cinemagraphs from videos that are both visually appealing and semantically meaningful. Given a scene with multiple objects, there are many cinemagraphs one could create. Our method evaluates these multiple candidates and presents the best one, as determined by a model trained to predict human preferences in a collaborative way. We demonstrate the effectiveness of our approach with multiple results and a user study.Comment: To appear in ICCV 2017. Total 17 pages including the supplementary materia
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