Anatomical feasibility of vagus nerve esophageal branch transfer to the phrenic nerve

This study measured the vagus and phrenic nerves from 12 adult cadavers. We found that the width and thickness of the vagus and phrenic nerves were different in the chest. The distance from the point of the vagus nerve and phrenic nerve on the plane of the inferior border of portal pulmonary arteries （T point） was approximately 7 cm to the diaphragm and was approximately 10 cm to the clavicle level. The number of motor fibers in the vagus nerves was 1 716 ± 362, and the number of nerve fibers was 4 473 ± 653. The number of motor fibers in the phrenic nerves ranged from 3 078 ± 684 to 4 794 ± 638, and the number of nerve fibers ranged from 3 437 ± 642 to 5 071 ± 723. No significant difference was found in the total number of nerve fibers. The results suggest that width, thickness, and total number of nerve fibers are similar between the vagus and phrenic nerves, but the number of motor fibers is different between them.

A Self-Similar Call Admission Control Algorithm in WiMAX

Modelling WiMAX network traffic based on the self-similarity character is better than the traditional model based on the Poisson process, because the former can provide more accurate calculation for effective bandwidth. In this paper we propose a WiMAX network traffic model based on M/Pareto model to describe its self-similarity character. Then we deduce the average transmission rate and the variance coefficient for the FBM traffic model by the M/Pareto model, and get the Hurst parameter of the FBM traffic model by statistical analysis method. By the FBM traffic model we get a formula for calculating the effective bandwidth. Accordingly, we propose a modified self-similar call admission control algorithm (SS-CAC). SS-CAC can avoid measuring the parameter values of FBM traffic flow to do call admission control. Simulation results show that SS-CAC greatly reduces the call blocking rate and improves the bandwidth utilization.

Pharmacological applications of a novel neoepitope antibody to a modified amyloid precursor protein-derived beta-secretase product

We have previously described a novel artificial NFEVβ-secretase(BACE1)cleavage site,which when introduced into the amyloid-βprecursor protein(APP),significantly enhances APP cleavage by BACE1 in in vitro and cellular assays.In this study,we describe the identification and characterization of a single chain fragment of variable region(scFv),specific to the EV neo-epitope derived from BACE1 cleavage of the NFEV-containing peptide,and its conversion to IgG1.Both the scFv displayed on phage and EV-IgG1 show exquisite specificity for binding to the EV neoepitope without cross-reactivity to other NFEV containing peptides or WT-APP KMDA cleavage products.EV-IgG1 can detect as little as 0.3 nmol/L of the EV peptide.EV-IgG1 antibody was purified,conjugated with alkaline phosphatase and utilized in various biological assays.In the BACE1 enzymatic assay using NFEV substrate,a BACE1 inhibitor MRK-3 inhibited cleavage with an IC50 of 2.4 nmol/L with excellent reproducibility.In an APP_NFEV stable SH-SY5Y cellular assay,the EC_(50) for inhibition of EV-Aβ peptide secretion with MRK-3 was 236 nmol/L,consistent with values derived using an EV polyclonal antibody.In an APP_NFEV knock-in mouse model,both Aβ_EV40 and Aβ_EV42 peptides in brain homogenate showed excellent gene dosage dependence.In conclusion,the EV neoepitope specific monoclonal antibody is a novel reagent for BACE1 inhibitor discovery for both in vitro,cellular screening assays and in vivo biochemical studies.The methods described herein are generally applicable to novel synthetic substrates and enzyme targets to enable robust screening platforms for enzyme inhibitors.