Variable compression engines are a mean to meet the demand on lower fuel consumption. A high compression ratio results in high engine efficiency, but also increases the knock tendency. On conventional engines with fixed compression ratio, knock is avoided by retarding the ignition angle. The variable compression engine offers an extra dimension in knock control, since both ignition angle and co...

The Galactose-α1,3-galactose (α1,3Gal) epitope is responsible for hyperacute rejection in pig-to-human xenotransplantation. Human decay-accelerating factor (hDAF) is a cell surface regulatory protein that serves as a complement inhibitor to protect self cells from complement attack. The generation of α1,3-galactosyltransferase (GGTA1) knock-out pigs expressing DAF is a necessary step for their ...

slug (snai2), a regulator of epithelial-to-mesenchymal transition (emt), is a zinc finger transcription factor involved in neurulation. intriguingly, snai2 gene expression has been linked to the aggressiveness of neuroblastoma, melanoma and lung, colon, ovarian and breast carcinoma. of note, many metastatic cancers recapitulate emt to enhance cell motility and invasion. moreover, metastasis is ...

In 1997 Lampert and Slater introduced parallel knock-out schemes, an iterative process on graphs that goes through several rounds. In each round of this process, every vertex eliminates exactly one of its neighbors. The parallel knock-out number of a graph is the minimum number of rounds after which all vertices have been eliminated (if possible). The parallel knock-out number is related to wel...

Single-stranded oligodeoxynucleotides (ssODN) are donor templates for homology-directed repair-based knock-in of point mutations using CRISPR/Cas9. To optimize the efficiency of ssODN-based knock-ins in zebrafish, we developed allele-specific PCR (AS-PCR) assays for introducing point mutations in tp53, cdh5 and lmna as case studies. In these point mutation strategies we introduced the codon mut...

BACKGROUND Many current works aiming to learn regulatory networks from systems biology data must balance model complexity with respect to data availability and quality. Methods that learn regulatory associations based on unit-less metrics, such as Mutual Information, are attractive in that they scale well and reduce the number of free parameters (model complexity) per interaction to a minimum. ...

Resolution of discrete final states in the O(e,epp)C reaction may provide an interesting tool to discriminate between contributions from oneand two-body currents in this reaction. This is based on the observation that the 0 ground state and first 2 state of C are reached predominantly by the removal of a S0 pair from O in this reaction, whereas other states mostly arise by the removal of a P pa...