Publications by authors named "V Herrmann"

In-rubber properties of vulcanizates deteriorate in the presence of incorporated recycled ground rubber (GR). This behavior is partly explained by a possible diffusion of sulfur from the rubber matrix into the GR. Therefore, the sulfur concentration and, thus, the crosslink density in the matrix are reduced.

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The act of telling stories is a fundamental part of what it means to be human. This work introduces the concept of narrative information, which we define as the overlap in information space between a story and the items that compose the story. Using contrastive learning methods, we show how modern artificial neural networks can be leveraged to distill stories and extract a representation of the narrative information.

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  • The study investigated tick-borne rickettsial bacteria in ticks collected from stray dogs in the Patagonian region of Argentina.
  • A total of 90 ticks were examined, with 3 out of 33 tick pools testing positive for Anaplasmataceae bacteria, and partial DNA sequences confirming the presence of a bacteria linked to canine cyclic thrombocytopenia.
  • Additionally, two tick samples were identified as part of the spotted fever group rickettsiae, marking the first molecular detection of these pathogens in this area of Argentina.
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  • Dysmorphologists face challenges due to the diverse phenotypic variability of human faces, particularly when using Next-Generation Phenotyping (NGP) tools, which are often trained on limited data.
  • To address this, the GestaltMatcher Database (GMDB) was created, compiling over 10,980 facial images from various global populations, significantly improving the representation of underrepresented ancestries, especially African and Asian patients.
  • The study found that incorporating data from non-European patients enhanced NGP accuracy by over 11% without compromising performance for European patients, highlighting the importance of diverse datasets in identifying genetic disorders.
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Most anti-cancer modalities are designed to directly kill cancer cells deploying mechanisms of action (MOAs) centered on the presence of a precise target on cancer cells. The efficacy of these approaches is limited because the rapidly evolving genetics of neoplasia swiftly circumvents the MOA generating therapy-resistant cancer cell clones. Other modalities engage endogenous anti-cancer mechanisms by activating the multi-cellular network (MCN) surrounding neoplastic cells in the tumor microenvironment (TME).

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