52 research outputs found

    Situationsverstehen für die Risikobeurteilung bei der Mensch-Roboter-Kooperation

    Get PDF
    In dem vorgestellten System wird die Umgebung eines Industrieroboters mittels Algorithmen des maschinellen Lernens erfasst und Objekte sowie menschliche Handlungen bestimmt. Anhand semantischer Analyse kann auf vorliegende Situationen geschlossen werden, wodurch sich dynamisch Risikobewertungen und Handlungsvorgaben für den Roboter ableiten lassen. Diese stellen die Grundlage für ein reaktives Roboterverhalten dar, das eine zielgerichtete und sichere Mensch-Roboter-Kooperation ermöglicht

    Cognitive Robotics in Industrial Environments

    Get PDF

    Identification of novel Angiogenin (ANG) gene missense variants in German patients with amyotrophic lateral sclerosis

    Get PDF
    Amyotrophic lateral sclerosis (ALS) is a fatal progressive neurodegenerative disease characterized by the selective death of motor neurons in the motor cortex, brain stem and spinal cord. Recently, missense variants in the angiogenin gene (ANG), an angiogenic factor expressed in ventral horn motor neurons that is up-regulated by hypoxia, have been found in ALS patients of Irish/Scottish, North American, Italian, French and Dutch descent. To investigate the role of ANG in the German population, we screened for mutations by sequencing the entire coding region of the ANG gene in a large sample of 581 German ALS cases and 616 sex- and age-matched healthy controls. We identified two heterozygous missense variants, F(−13)L and K54E, in two German sporadic ALS cases but not in controls. Both missense variants are novel and have not been previously found in ALS cases. Our results suggest that missense variants in the ANG gene play a role in ALS in the German population and provide further evidence to support the hypothesis that angiogenic factors up-regulated by hypoxia are involved in the pathophysiology of ALS

    In vivo imaging of pancreatic tumours and liver metastases using 7 Tesla MRI in a murine orthotopic pancreatic cancer model and a liver metastases model

    Get PDF
    <p>Abstract</p> <p>Background</p> <p>Pancreatic cancer is the fourth leading cause of tumour death in the western world. However, appropriate tumour models are scarce. Here we present a syngeneic murine pancreatic cancer model using 7 Tesla MRI and evaluate its clinical relevance and applicability.</p> <p>Methods</p> <p>6606PDA murine pancreatic cancer cells were orthotopically injected into the pancreatic head. Liver metastases were induced through splenic injection. Animals were analyzed by MRI three and five weeks following injection. Tumours were detected using T2-weighted high resolution sequences. Tumour volumes were determined by callipers and MRI. Liver metastases were analyzed using gadolinium-EOB-DTPA and T1-weighted 3D-Flash sequences. Tumour blood flow was measured using low molecular gadobutrol and high molecular gadolinium-DTPA.</p> <p>Results</p> <p>MRI handling and applicability was similar to human systems, resolution as low as 0.1 mm. After 5 weeks tumour volumes differed significantly (p < 0.01) when comparing calliper measurments (n = 5, mean 1065 mm<sup>3</sup>+/-243 mm<sup>3</sup>) with MRI (mean 918 mm<sup>3</sup>+/-193 mm<sup>3</sup>) with MRI being more precise. Histology (n = 5) confirmed MRI tumour measurements (mean size MRI 38.5 mm<sup>2</sup>+/-22.8 mm<sup>2 </sup>versus 32.6 mm<sup>2</sup>+/-22.6 mm<sup>2 </sup>(histology), p < 0,0004) with differences due to fixation and processing of specimens. After splenic injection all mice developed liver metastases with a mean of 8 metastases and a mean volume of 173.8 mm<sup>3</sup>+/-56.7 mm<sup>3 </sup>after 5 weeks. Lymphnodes were also easily identified. Tumour accumulation of gadobutrol was significantly (p < 0.05) higher than gadolinium-DTPA. All imaging experiments could be done repeatedly to comply with the 3R-principle thus reducing the number of experimental animals.</p> <p>Conclusions</p> <p>This model permits monitoring of tumour growth and metastasis formation in longitudinal non-invasive high-resolution MR studies including using contrast agents comparable to human pancreatic cancer. This multidisciplinary environment enables radiologists, surgeons and physicians to further improve translational research and therapies of pancreatic cancer.</p

    Prediction of second neurological attack in patients with clinically isolated syndrome using support vector machines

    Get PDF
    The aim of this study is to predict the conversion from clinically isolated syndrome to clinically definite multiple sclerosis using support vector machines. The two groups of converters and non-converters are classified using features that were calculated from baseline data of 73 patients. The data consists of standard magnetic resonance images, binary lesion masks, and clinical and demographic information. 15 features were calculated and all combinations of them were iteratively tested for their predictive capacity using polynomial kernels and radial basis functions with leave-one-out cross-validation. The accuracy of this prediction is up to 86.4% with a sensitivity and specificity in the same range indicating that this is a feasible approach for the prediction of a second clinical attack in patients with clinically isolated syndromes, and that the chosen features are appropriate. The two features gender and location of onset lesions have been used in all feature combinations leading to a high accuracy suggesting that they are highly predictive. However, it is necessary to add supporting features to maximise the accuracy. © 2013 IEEE

    Situationsverstehen für die Risikobeurteilung bei der Mensch-Roboter-Kooperation

    No full text
    In the proposed system the environment of an industrial robot is captured through algorithms of machine learning. Thus, objects and human actions are determined. Based on semantic analysis situational knowledge is inferred and dynamic risk assessment as well as robotic behaviour are concluded. Consequently, this provides the foundation for a reactive robot system for achieving efficient and safe human-robot-cooperation

    Zu ausgewählten Methoden und Ergebnissen der Mechanikforschung für den Schiffbau

    No full text
    &nbsp; &nbsp
    corecore