Increased collagen synthesis rate during wound healing in muscle

Wound healing in muscle involves the deposition of collagen, but it is not known whether this is achieved by changes in the synthesis or the degradation of collagen. We have used a reliable flooding dose method to measure collagen synthesis rate in vivo in rat abdominal muscle following a surgical incision. Collagen synthesis rate was increased by 480% and 860% on days 2 and 7 respectively after surgery in the wounded muscle compared with an undamaged area of the same muscle. Collagen content was increased by approximately 100% at both day 2 and day 7. These results demonstrate that collagen deposition during wound healing in muscle is achieved entirely by an increase in the rate of collagen synthesis

Predicting Flux And Pressure Relationships of Large Scale Filtration with USD Model Inputs: Method and application

Ultra Scale-Down tools have demonstrated the huge benefit for rapid process development with reduced material requirement and better solutions. In this poster, a method was reported to predict the flux and transmembrane pressure relationships of a diafiltration application for a crossflow filtration (CFF) process, based on data generated using an Ultra Scale-Down (USD) device that uses dead-end mode of operation to mimic CFF. A new flux prediction protocol was developed to accurately determine the system resistance of large scale crossflow filtration (CFF) systems, and, to predict CFF performance using USD data. Antibody fragment (Fab’) is expressed in E. coli as an intracellular product and E.coli homogenate was used for scale-up studies and to validate the prediction results. Predicted and actual flux-pressure drop and transmission data showed good agreement. Wall shear rate correlations have been established for both the lab scale cassette and the USD device, and a mimic has been developed by operating both scales at equivalent membrane averaged shear rates

RFID-enabled real-time manufacturing execution system for discrete manufacturing: Software design and implementation

Discrete manufacturing (DM) refers to produce products in non-sequential processes so as to respond to market and customer requirements quickly under limited lead-time. However, in shop-floor management, DM companies usually confront challenges such as information gaps between different manufacturing units, slow responsiveness to customer changes, and poor visualization. The main reasons are lacking of efficient manufacturing data collection manners and software to support shop-floor management. This paper introduces an RFID-enabled real-time manufacturing execution system (RT-MES) for improving DM shop-floor management level in the perspective of illustrating the RT-MES software design and implementation. Several contributions from this paper are significant. First, a framework of RFID-enabled RT-MES is proposed, which is generic and helpful for enterprise information system (EIS) construction. Second, a plug-universal database-aided design (PUDAD) concept and its realization are elaborated, which could reduce RT-MES development and implementation cycle. Third, an interface middleware is reported to enable RT-MES real-time intercommunication with other EISs such as SAP ERP. Fourth, a real-life case study describes how RT-MES to enhance a typical DM firm's shop-floor management, which can be referenced by other DM companies when they initiate and implement RFID-enabled solutions. © 2011 IEEE.published_or_final_versionThe 2011 IEEE International Conference on Networking, Sensing and Control (ICNSC 2011), Delft, the Netherlands, 11-13 April 2011. In Proceedings of ICNSC, 2011, p. 311-31

Delay-Guaranteed Admission Control for LAA Coexisting with WiFi

© 2012 IEEE. Licensed-assisted-access (LAA) is used to extend the LTE link into the unlicensed band. How to guarantee the quality-of-service (QoS) for LTE devices in the unlicensed band is a challenging problem due to the listen-before-talk contention access in 5-GHz unlicensed bands. In this letter, we quantitatively analyze the medium access control delay for tagged LAA eNBs and propose a delay-guaranteed admission control scheme. We consider the freezing time of busy slots caused by collision or successful transmission, and introduce the exponential backoff mechanism for delay analysis. Validated by simulation results, our method provides important insights into the system admission performance and fairness of access

Structural Evolution During Formation and Filling of Self-patterned Nanoholes on GaAs (100) Surfaces

Nanohole formation on an AlAs/GaAs superlattice gives insight to both the “drilling” effect of Ga droplets on AlAs as compared to GaAs and the hole-filling process. The shape and depth of the nanoholes formed on GaAs (100) substrates has been studied by the cross-section transmission electron microscopy. The Ga droplets “drill” through the AlAs layer at a much slower rate than through GaAs due to differences in activation energy. Refill of the nanohole results in elongated GaAs mounds along the [01−1] direction. As a result of capillarity-induced diffusion, GaAs favors growth inside the nanoholes, which provides the possibility to fabricate GaAs and AlAs nanostructures

High throughput screening of monoamine oxidase (MAO-N-D5) substrate selectivity and rapid kinetic model generation

Full kinetic models provide insight into enzyme mechanism and kinetics and also support bioconversion process design and feasibility assessment. Previously we have established automated microwell methods for rapid data collection and hybrid kinetic modelling techniques for quantification of kinetic constants. In this work these methods are applied to explore the substrate selectivity and kinetics of monoamine oxidase, MAO-N-D5, from Aspergillus niger. In particular we examine the MAO-N-D5 variant Ile246Met/Asn336Ser/Met348Lys/Thr384Asn to allow the oxidation of secondary amines Initial screening showed that MAO-N-D5 enabled the selective oxidation of secondary amines in 8 and 9 carbon rings, as well as primary ethyl and propyl amines attached to secondary amines of indolines and pyrrolidines. Subsequently we developed a first kinetic model for the MAO-N-D5 enzyme based on the ping-pong bi-bi mechanism (similar to that for the human MAO-A enzyme). The full set of kinetic parameters were then established for three MAO-N-D5 substrates namely; 3-azabicyclo[3,3,0]octane, 1-(2 amino ethyl) pyrrolidine and 3-(2,3-dihydro-1H-indole-1-yl)propan-1-amine. The models for each amine substrate showed excellent agreement with experimentally determined progress curves over a range of operating conditions. They indicated that in each case amine inhibition was the main determinant of overall reaction rate rather than oxygen or imine (product) inhibition. From the perspective of larger scale bioconversion process design, the models indicated the need for fed-batch addition of the amine substrate and to increase the dissolved oxygen levels in order to maximize bioconversion process productivity

An initial overview of the extent and structure of recent star formation within the Serpens Molecular Cloud using Gaia Data Release 2

This is the final version. Available from American Astronomical Society / IOP Publishing via the DOI in this record.The dense clusters within the Serpens Molecular Cloud are among the most active regions of nearby star formation. In this paper, we use Gaia DR2 parallaxes and proper motions to statistically measure ∼ 1167 kinematic members of Serpens, few of which were previously identified, to evaluate the star formation history of the complex. The optical members of Serpens are concentrated in three distinct groups located at 380–480 pc; the densest clusters are still highly obscured by optically-thick dust and have few optical members. The total population of young stars and protostars in Serpens is at least 2000 stars, including past surveys that were most sensitive to protostars and disks, and may be far higher. Distances to dark clouds measured from deficits in star counts are consistent with the distances to the optical star clusters. The Serpens Molecular Cloud is seen in the foreground of the Aquila Rift, dark clouds located at 600–700 pc, and behind patchy extinction, here called the Serpens Cirrus, located at ∼ 250 pc. Based on the lack of a distributed population of older stars, the star formation rate throughout the Serpens Molecular Cloud increased by at least a factor of 20 within the past ∼ 5 Myr. The optically bright stars in Serpens Northeast are visible because their natal molecular cloud has been eroded and not because they were flung outwards from a central factory of star formation. The separation between subclusters of 20–100 pc and the absence of an older population leads to speculation that an external forcing was needed to trigger the active star formationNational Science Foundation of ChinaESO - European Southern ObservatoryNational Research Council CanadaNatural Sciences and Engineering Research Council of Canada (NSERC)National Natural Science Foundation of Chin

Bacterial microevolution and the Pangenome

The comparison of multiple genome sequences sampled from a bacterial population reveals considerable diversity in both the core and the accessory parts of the pangenome. This diversity can be analysed in terms of microevolutionary events that took place since the genomes shared a common ancestor, especially deletion, duplication, and recombination. We review the basic modelling ingredients used implicitly or explicitly when performing such a pangenome analysis. In particular, we describe a basic neutral phylogenetic framework of bacterial pangenome microevolution, which is not incompatible with evaluating the role of natural selection. We survey the different ways in which pangenome data is summarised in order to be included in microevolutionary models, as well as the main methodological approaches that have been proposed to reconstruct pangenome microevolutionary history