Publications by authors named "Ralph Gross"

Background The reliability of the recommendations affecting the clinical decisions is being continuously weighed in everyday practice (Gershlick, 2018). The objective of our study was to assess the consistency of the evidence behind the recommendations. Methods We narrowed our focus on the pharmacotherapeutic aspects of the most recent 38 European Society of Cardiology guidelines and analyzed the correlation between the level of evidence (LoE) classified as A, B and C and the class of recommendations (CoR) subdivided into I, IIa, IIb and III.

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Does the Oral Microbiome Influence Carcinogenic Changes of the Esophagus? - A Systematic Review The oral microbiome plays a crucial role in maintaining a physiological oral and esophageal environment, but possibly also in the development and progression of diseases, such as esophageal cancer. However, the underlying mechanism for this correlation is not understood. Esophageal carcinomas harbor a high malignancy and show a high incidence - worldwide they are the sixth most common cause of carcinoma-related death.

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The non-competitive N-methyl-d-aspartate (NMDA) receptor antagonist (+)MK-801 is widely used in animal research (over 3000 publications), however its extracellular brain concentration has never been reported. Here, we show using in vivo microdialysis that systemic injection of (+)MK-801 at doses of 0.05, 0.

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Multi-PIE.

Proc Int Conf Autom Face Gesture Recognit

May 2010

A close relationship exists between the advancement of face recognition algorithms and the availability of face databases varying factors that affect facial appearance in a controlled manner. The CMU PIE database has been very influential in advancing research in face recognition across pose and illumination. Despite its success the PIE database has several shortcomings: a limited number of subjects, single recording session and only few expressions captured.

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Information about an individual's place and date of birth can be exploited to predict his or her Social Security number (SSN). Using only publicly available information, we observed a correlation between individuals' SSNs and their birth data and found that for younger cohorts the correlation allows statistical inference of private SSNs. The inferences are made possible by the public availability of the Social Security Administration's Death Master File and the widespread accessibility of personal information from multiple sources, such as data brokers or profiles on social networking sites.

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Recent advances in both camera technology as well as supporting computing hardware have made it significantly easier to acquire, transmit, process and store large amounts of image data. As a consequence a number of image databases, specifically face databases, have been collected, often with the expressed goal of sharing the data with others. Due to concerns about the privacy of the individuals visible in the scene, data dissemination is particularly difficult for medical face databases depicting patients.

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Arguably the most important decision to be made when developing an object recognition algorithm is selecting the scene measurements or features on which to base the algorithm. In appearance-based object recognition, the features are chosen to be the pixel intensity values in an image of the object. These pixel intensities correspond directly to the radiance of light emitted from the object along certain rays in space.

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Streptococcus pneumoniae is the major pathogen of community-acquired pneumonia and one of the most common causes of death due to infectious diseases in industrialized countries. Lung epithelium lines the airways and constitutes the first line of innate defense against respiratory pathogens. Little is known about the molecular interaction of pneumococci with lung epithelial cells.

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