Improved position offset based parameter determination of permanent magnet synchronous machines under different load conditions

© The Institution of Engineering and Technology 2017.This study proposes a novel method for the parameter determination of permanent magnet (PM) synchronous machines under different load conditions. It can identify the total dq-axis flux linkages and also the PM flux linkage separately by the addition of a pair of negative and positive position offsets. It is also noteworthy that the influence of uncertain inverter non-linearity and winding resistance is cancelled during the modelling process, and the experimental results on two different PM synchronous machines show a good agreement with the finite-element prediction results. More importantly, it shows good performance in online tracking the variation of PM flux linkage, which is an important feature for aiding the condition monitoring of PMs, for example, monitoring the temperature of PMs

Single-cell qPCR facilitates the optimization of hematopoietic differentiation in hPSCs/OP9 coculture system

<div><p>Human pluripotent stem cells (hPSCs)/OP9 coculture system is a widely used hematopoietic differentiation approach. The limited understanding of this process leads to its low efficiency. Thus, we used single-cell qPCR to reveal the gene expression profiles of individual CD34+ cells from different stages of differentiation. According to the dynamic gene expression of hematopoietic transcription factors, we overexpressed specific hematopoietic transcription factors (Gata2, Lmo2, Etv2, ERG, and SCL) at an early stage of hematopoietic differentiation. After overexpression, we generated more CD34+ cells with normal expression level of CD43 and CD31, which are used to define various hematopoietic progenitors. Furthermore, these CD34+ cells possessed normal differentiation potency in colony-forming unit assays and normal gene expression profiles. In this study, we demonstrated that single-cell qPCR can provide guidance for optimization of hematopoietic differentiation and transient overexpression of selected hematopoietic transcription factors can enhance hematopoietic differentiation.</p></div

HBeAg positivity in patients of HBV/CD1 or HBV/C2.

<p>Patients were stratified by age into three groups, younger than 30 years (<30), 30–50 years and older than 50 years (>50). The prevalence of HBeAg decreased with age in patients of HBV/C2 (58.8% in <30 years; 48.0% in 30–50 years; 33.3% in >50 years), whereas almost no change was observed in patients of HBV/CD1 (21 of 32, 65.6% in <30 years; 39 of 63, 61.9% in 30–50 years; 9 of 14, 64.3% in >50 years). The rate of HBeAg positivity did not reach the statistical significance in all three age groups between HBV/CD1 and HBV/C2 (<i>P</i> = 0.758, 0.244 and 0.336 in <30, 30–50 and >50 years respectively).</p

Distribution of HBV genotypes by geographical region and ethnicity in western China.

<p>*Data are given as age range (means ± standard deviations).</p

Phylogenetic analysis of mosaic sequences of the HBV C/D recombinant compared with reference strains representing genotypes A–G.

<p>Accession numbers and sample numbers are shown on each branch, and are indicated on the left by the HBV genotype or subgenotype. Bootstrap values are shown along each main branch. Scale bars indicate the nucleotide divergence. Isolates determined in this study are marked. A, Phylogenetic tree based on nt 10-799. B, Phylogenetic tree based on nt 10-1499.</p

Clinical and virological differences of HBV/CD1 and HBV/C2.

<p><b>NOTE.</b> Data are given as mean±SD or no. (%) of patients. ALT, alanine aminotransferase; AST, aspartate aminotransferase; TBIL, total bilirubin.</p

Breinholt_et_al_Supplementary_Figure_S4

Supplementary Figure S4 from Breinholt et al. (2017

Distribution of HBV genotype by geographical location in western China.

<p>The proportion of the HBV C/D recombinants (‘CD1’ and ‘CD2’) in each region is shown. The complete names of regions mentioned in this figure are as follows: XJ = Xinjiang, QH = Qinghai, GS = Gansu, NX = Ningxia.</p

README

README File containing list of files and script contained in this dryad packag

Breinholt_et_al_Supplementary_File_1__S1-S11

Supplementary File 1: Microsoft excel document including Supplementary Table S1-S11 from Breinholt et al. (2017