White matter microstructure of patients with neurofibromatosis type 1 and its relation to inhibitory control

Neuro Imaging Researc

Application of molecular cytogenetic techniques to clarify apparently balanced complex chromosomal rearrangements in two patients with an abnormal phenotype: Case report

Background. Complex chromosomal rearrangements (CCR) are rare cytogenetic findings that are difficult to karyotype by conventional cytogenetic analysis partially because of the relative low resolution of this technique. High resolution genotyping is necessary in order to identify cryptic imbalances, for instance near the multiple breakpoints, to explain the abnormal phenotype in these patients. We applied several molecular techniques to elucidate the complexity of the CCRs of two adult patients with abnormal phenotypes. Results. Multicolour fluorescence in situ hybridization (M-FISH) showed that in patient 1 the chromosomes 1, 10, 15 and 18 were involved in the rearrangement whereas for patient 2 the chromosomes 5, 9, 11 and 13 were involved. A 250 k Nsp1 SNP-array analysis uncovered a deletion in chromosome region 10p13 for patient 1, harbouring 17 genes, while patient 2 showed no pathogenic gains or losses. Additional FISH analysis with locus specific BAC-probes was performed, leading to the identification of cryptic interstitial structural rearrangements in both patients. Conclusion. Application of M-FISH and SNP-array analysis to apparently balanced CCRs is useful to delineate the complex chromosomal rearrangement in detail. However, it does not always identify cryptic imbalances as an explanation for the abnormal phenotype in patients with a CCR

3D Face Recognition: How to make a fast and reliable database and compare the database with 2D+3D facial input?

A 3D face recognition algorithm has been developed for the Microsoft Kinect during the final bachelor project at Delft University of Technology in 2013. The aim of the project is to develop a prototype face recognition system. The prototype system has to outperform the existing 2D face recognition system. The main goal is to develop a 3D face recognition system and is divided into three parts. Each part was developed by a group of two students. The subjects were data-acquisition, data-processing and data comparison. Data-comparison is the main topic of this thesis. Nowadays, security is an increasingly important topic in society. 3D face recognition can contribute to make the world a safer place. This thesis is about discovering the new 3D techniques in chapter 4, but first getting familiar with the 2D-world in chapter 3. Our results showed that a 2D system is not accurate to use as a face recognition system. This system is too sensitive for differences in lightning, poses and face expressions. Meanwhile the results achieved with our (proposed) 3D system were quite fast and accurate. The 3D system had five correct matches from the possible six matches. So only one person was not recognized and the process time is 1.19 seconds. This is not tested enough during the period that this thesis was created. It is concluded that 3D face recognition works accurately with geometry and normal map input in combination with the Haar-Walsh Transform and angle-based distance, even though the number of data is not sufficient yet. It even works with only the geometry image as input, both the Haar-Walsh and the Haar transform and the angle-based distance. These two options gave the same result. So as a future task we will increase the number of data to confirm our algorithm.Circuits and SystemsMicroelectronics & Computer EngineeringElectrical Engineering, Mathematics and Computer Scienc

Decorrelation in Adaptive Feedback Cancellation for Public Address Systems

Public Address systems that include a setup with at least one microphone and speaker can suffer from acoustic feedback. This results in an annoying howling effect which can damage hardware and human hearing. To solve this issue, an adaptive filter that estimates the feedback path and uses this estimate to cancel the feedback can be designed. However, because the adaptive filter receives signals from both the microphone and the feedback, and because sound signals are generally correlated over time, the estimate becomes biased. To reduce this bias, the speaker signal can be decorrelated from the input. In this thesis several options to decorrelate these signals are explored, and they are evaluated based on decorrelation performance and effect on audio quality. Frequency shifting is selected as the best decorrelation method as it provides the most decorrelation while retaining audio quality. Finally it is shown that using Frequency Shifting to decorrelate the microphone and speaker signal indeed improves the estimation of the feedback path.Electrical Engineerin

Models to estimate fate, exposure, and effects of chemicals

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Mechanistically-based qsars to describe metabolic constants in mammals

Contains fulltext : 133135pub.pdf (publisher's version ) (Closed access

VOLUMETRIC ABNORMALITIES OF SUBCORTICAL BRAIN REGIONS IN NEUROFIBROMATOSIS TYPE 1: ASSOCIATIONS WITH SOCIAL AND COGNITIVE PROBLEMS

Neuro Imaging Researc