Identification of Lynch syndrome risk variants in the Romanian population.

To access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked DownloadTwo familial forms of colorectal cancer (CRC), Lynch syndrome (LS) and familial adenomatous polyposis (FAP), are caused by rare mutations in DNA mismatch repair genes (MLH1, MSH2, MSH6, PMS2) and the genes APC and MUTYH, respectively. No information is available on the presence of high-risk CRC mutations in the Romanian population. We performed whole-genome sequencing of 61 Romanian CRC cases with a family history of cancer and/or early onset of disease, focusing the analysis on candidate variants in the LS and FAP genes. The frequencies of all candidate variants were assessed in a cohort of 688 CRC cases and 4567 controls. Immunohistochemical (IHC) staining for MLH1, MSH2, MSH6, and PMS2 was performed on tumour tissue. We identified 11 candidate variants in 11 cases; six variants in MLH1, one in MSH6, one in PMS2, and three in APC. Combining information on the predicted impact of the variants on the proteins, IHC results and previous reports, we found three novel pathogenic variants (MLH1:p.Lys84ThrfsTer4, MLH1:p.Ala586CysfsTer7, PMS2:p.Arg211ThrfsTer38), and two novel variants that are unlikely to be pathogenic. Also, we confirmed three previously published pathogenic LS variants and suggest to reclassify a previously reported variant of uncertain significance to pathogenic (MLH1:c.1559-1G>C).European Union EE

L' immunité de juridiction des Etats et des Organisations internationales et le droit d'accès à un tribunal

Droit compar

Semantic interpretation of multi-level change detection in multi-temporal satellite images

Satellite image time series are a valuable resource for enhancing land exploitation by respecting the natural cycles, analyzing urban expansion and its positive and negative effects, limiting the unhealthy rhythm of deforestation, understanding natural hazards and so on. In this context, understanding only the changes in multitemporal images is not sufficient. This paper aims to correlate multi-level change detection techniques with image semantic segmentation methods in order to build an hierarchy of changes for each semantic class. In this way, we are able to provide statistics regarding the levels of change suffered by a certain area. The methods are demonstrated with examples involving bi-temporal Land-sat images

Change Maps for Pairs of Images Extracted from Satellite Image Time Series

The current development of satellite imagery means that a great volume of images acquired globally has to be understood in a fast and precise manner. Processing this large quantity of information comes at the cost of finding unsupervised algorithms to fulfill these tasks. Change detection is one of the main issues when talking about the analysis of satellite image time series (SITS). In this paper, we propose a method to analyze changes in SITS based on binary descriptors and on the Hamming distance, regarded as a similarity metric. In order to render an automatic and completely unsupervised technique towards solving this problem, the obtained distances are quantized into change levels using the Lloyd-Max’s algorithm. The experiments are carried on 11 Landsat images at 30 meters spatial resolution, covering an area of approximately 59 × 51 km2 over the surroundings of Bucharest, Romania, and containing information from six subbands of frequency

Contributions to the modernization of fluid power field by integration of intelligent equipment

The article refers to some directions of modernization in the field of hydraulics focusing on digitalization and the transition to intelligent hydraulic equipment and systems. Before exposing the achievements, the authors try to remove some confusion related to digitization and digitalization. The article presents two intelligent equipment designed by IHP, a proportional directional valve and a digital actuator and two intelligent stands, one of servo-valves and one of digital hydraulic cylinders, existing in operation in laboratory and which by the endowment and working procedures represent solutions in the field of intelligent hydraulics.W artykule odniesiono się do wybranych kierunków modernizacji hydrauliki, koncentrując się na cyfryzacji i przejściu na inteligentne urządzenia oraz systemy hydrauliczne. Przed przedstawieniem osiągnięć autorzy artykułu starają się usunąć zamieszanie związane z pojęciami cyfryzacji i digitalizacji. W artykule przedstawiono dwa inteligentne urządzenia zaprojektowane przez IHP, rozdzielacz proporcjonalny i siłownik cyfrowy oraz dwa inteligentne stanowiska, jeden z serwozaworów oraz jeden z cyfrowych siłowników hydraulicznych, stosowane w laboratorium, które ze względu na wyposażenie i procedury robocze są rozwiązaniami inteligentnej hydrauliki

Polarimetric SAR Data Feature Selection Using Measures of Mutual Information

Several algorithms for polarimetric synthetic aperture radar (PolSAR) data indexing and classification were proposed in the state of the art literature. In particular, one of them computes powerful, compact feature descriptors composed of the first three logarithmic cumulants of the BiQuaternion Fractional Fourier Transform (BiQFrFT) coefficients of PolSAR patches. Since the BiQFrFT of each patch is computed at three different angles, the algorithm's result consists in nine complex-valued features (18 real-valued features) for single polarization images and in nine biquaternion-valued features (72 real-valued features) for fully polarimetric images. In this paper feature selection based on mutual information (MI) is employed to optimally select a subset of features, in order to improve the indexing performances and to minimize the classification error. The improved results are shown on two polarimetric images: a L-band PALSAR image over Danube's Delta, Romania and a C-band RadarSAT2 image over Brâila, Romania

Some consideration about GPR signals processing with music 3D algorithm

International audienc

Using Biquarternions Algebra and Joint Time Frequency Aanalysis Towards a New PolSAR Data Indexing Method

Considering the multitude of nowadays high resolution remote sensing sensors, the volume of the acquired data has grown considerably. A particular type of the so-called "big data" is the polarimetric synthetic aperture radar (PolSAR) data. Processing this kind of data can be carried out by using either a parametric or non-parametric approach. This paper follows a new patch-oriented non-parametric approach. The BiQuaternion Fractional Fourier Transform (BiQFrFT) and the Method of Logarithmic Cumulants (MoLC) have been used as mathematical support. BiQFrFT was derived from the Fractional Fourier Transform (FrFT) and the biquaternions algebra. Representing PolSAR data samples in a rotated joint time-frequency plane via FrFT provides a simple statistical response that is easier to analyze. The biquaternions algebra allows the joint use of the polarimetric channels, enabling the polarimetric correlations between PolSAR data's samples. The logarithmic cumulants of the BiQFrFT coefficients were employed to build powerful, compact feature descriptors. The performances of our algorithm were tested on a spaceborne L-band PolSAR dataset. Finally, the better performances of our algorithm were shown against the ones of the well-known unsupervised Wishart H/alpha classification algorithm and some conclusions were drawn