CLINICAL AND CYTOGENETICAL STUDY OF A PATIENT WITH SYNDROME OF NO NN Е —MILRO V—-M ЕIGE COMBINED WITH SYNDROME OF LAURENCE—MOON—BARDET—BIEDL

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INTRATHYROID LYMPHOCYTE SUBSETS IN PATIENTS WITH AUTOIMMUNE THYROID DISEASE

Thyroid gland is an easily approachable for direct examination by aspiration biopsy organ. This fact gives a possibility for serial examination of liable disturbances in the immune regulation, connected with autoimmune thyroid disease and their response to the relevant therapy. Twenty-six patients with Basedow's disease (BD) and 12 patients with Hashimoto's thyroiditis (HT) - 34 women and 4 men (mean age 47,3 years) were studied. For determination of superficial markers of intrathyroidal mononuclear cells (ITMC) were used monoclonal antibodies for identification of total T-lymphocytes (CD3+), Т-helper/ inducer cells (CD4+), T-suppressor/cytotoxic eels (CD8+), B-lymphocytes (CD 19+), Nklymphocytes (CD16+56+), activated Т-lymphocytes (CD3+/HLA-DR+), interleukin-2 receptors (CD 25+), and the adhesion molecule ICAM-1 (CD54+). In the patients with BD the main lymphocyte subset was CD3+ with increased number of activated T-lymphocytes and CD4/CD8 ratio (2,22) due to the decreased number of T-suppressor/cytotoxic cells. After the thyreostatic therapy there was a normalization of B-lymphocytes, activated Tlymphocytes and reduction of CD4/CD8 ratio, due to the increased number of T-suppressor/ cytotoxic cells. In patients with HT and hypothyroidism the main cell population consisted of CD3+cells and increased number of CD16+56+ cells as the CD4/CD8 ratio was decreased (0,98). The presence of increased percentage ofIL-2 receptors and of adhesion molecules ICAM-1 in these patients suggests a more pronounced activity of the autoimmune process

Towards Automated Cadastral Boundary Delineation from UAV data

This PhD research aims to design and implement a method to facilitate land rights mapping through indirect surveying techniques from UAV data. It is based on the assumption that a large portion of cadastral boundaries is physically manifested through objects such as hedges, fences, stone walls, tree lines, roads, walkways or waterways. Those visible boundaries bear the potential to be extracted with methods from photogrammetry, remote sensing and computer vision. The automatically extracted outlines require further (legal) adjudication that allows incorporating local knowledge from a human operator. The method currently being designed and developed within this PhD research aims to provide a delineation approach that includes this automated extraction combined with an interactive delineation (Figure 1). This work is part of the Horizon 2020 program of the European Union (project its4land)

3D DATA INTEGRATION FOR WEB BASED OPEN SOURCE WebGL INTERACTIVE VISUALISATION

Recent advances in open-source geospatial technologies in WebGIS allowed the visualization of a 3D complex environment on the web, exploiting realistic Globe reproduction of the real territorial asset. At the same time, in the field of gaming technologies, the new possibilities offered by open-source WebGL JavaScript libraries allowed the creation of Virtual Reality navigation models on the web. The integration between 3D GIS globe navigation models and VR environment navigation is a solution that offers a further level of detail in web navigation, exploiting the capabilities of web browsers in the best way. This research further contributes to this field, showing a workflow to integrate different 3D data in a VR and 3D WebGIS navigation model. The case study for this research is the new building of the University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC) of Enschede (The Netherlands). This work tests the online integration of variety of 3D input data that can lead to different Levels of Details (LoD) of the buildings inside the Globe-based WebGIS platform. The developed solution works on desktop and mobile devices using the capabilities of the most common web browsers, avoiding any software installation. The result of this work is based on completely open-source solutions that offers the possibility to navigate within a 3D model, which is useful for citizens, governmental or private institutions in decision-making processes. This work represents a first step towards the ambition to generate a web Digital Twin platform to combine datasets from different sources in a unique open-source solution

Molecular Signatures of Quiescent, Mobilized and Leukemia-Initiating Hematopoietic Stem Cells

Hematopoietic stem cells (HSC) are rare, multipotent cells capable of generating all specialized cells of the blood system. Appropriate regulation of HSC quiescence is thought to be crucial to maintain their lifelong function; however, the molecular pathways controlling stem cell quiescence remain poorly characterized. Likewise, the molecular events driving leukemogenesis remain elusive. In this study, we compare the gene expression profiles of steady-state bone marrow HSC to non-self-renewing multipotent progenitors; to HSC treated with mobilizing drugs that expand the HSC pool and induce egress from the marrow; and to leukemic HSC in a mouse model of chronic myelogenous leukemia. By intersecting the resulting lists of differentially regulated genes we identify a subset of molecules that are downregulated in all three circumstances, and thus may be particularly important for the maintenance and function of normal, quiescent HSC. These results identify potential key regulators of HSC and give insights into the clinically important processes of HSC mobilization for transplantation and leukemic development from cancer stem cells

SLIC SUPERPIXELS FOR OBJECT DELINEATION FROM UAV DATA

Unmanned aerial vehicles (UAV) are increasingly investigated with regard to their potential to create and update (cadastral) maps. UAVs provide a flexible and low-cost platform for high-resolution data, from which object outlines can be accurately delineated. This delineation could be automated with image analysis methods to improve existing mapping procedures that are cost, time and labor intensive and of little reproducibility. This study investigates a superpixel approach, namely simple linear iterative clustering (SLIC), in terms of its applicability to UAV data. The approach is investigated in terms of its applicability to high-resolution UAV orthoimages and in terms of its ability to delineate object outlines of roads and roofs. Results show that the approach is applicable to UAV orthoimages of 0.05 m GSD and extents of 100 million and 400 million pixels. Further, the approach delineates the objects with the high accuracy provided by the UAV orthoimages at completeness rates of up to 64 %. The approach is not suitable as a standalone approach for object delineation. However, it shows high potential for a combination with further methods that delineate objects at higher correctness rates in exchange of a lower localization quality. This study provides a basis for future work that will focus on the incorporation of multiple methods for an interactive, comprehensive and accurate object delineation from UAV data. This aims to support numerous application fields such as topographic and cadastral mapping