Publications by authors named "A M Riedl"

Article Synopsis
  • Esophageal cancer has a poor prognosis, and while neoadjuvant chemoradiotherapy (CRT) followed by immunotherapy shows promise, the effect of CRT on PD-L1 expression in these cancers is not fully understood.
  • The study investigated PD-L1 expression changes in esophageal adenocarcinoma and squamous cell carcinoma cell lines after treatment with chemotherapy and CRT, finding that Carboplatin and CRT led to the highest increases in PD-L1 expression.
  • Despite observed increases in PD-L1 with certain treatments, the overall conclusion was that neoadjuvant CRT according to the CROSS protocol did not significantly alter PD-L1 expression when comparing pre- and post-treatment levels in patient samples.
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While the persisting issue of women's underrepresentation in political news partly arises from biases in the social reality, journalism plays a crucial role in mediating these biases. This study proposes a multilayered framework of gendered influences in journalistic news production to understand how journalistic factors exacerbate or mitigate women's media representation. Drawing from a mixed-methods design (content analysis, survey, interviews), journalists' own gender emerges as the strongest predictor of gendered representations.

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Susceptibility to misinformation and belief polarization often reflects people's tendency to incorporate information in a biased way. Despite the presence of competing theoretical models, the underlying neurocognitive mechanisms of motivated reasoning remain elusive as previous empirical work did not properly track the belief formation process. To address this problem, we employed a design that identifies motivated reasoning as directional deviations from a Bayesian benchmark of unbiased belief updating.

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We investigated the basic characteristics of a new murine cytomegalovirus (MCMV) vector platform. Using BAC technology, we engineered replication-competent recombinant MCMVs with deletions of up to 26% of the wild-type genome. To this end, we targeted five gene blocks (m01-m17, m106-m109, m129-m141, m144-m158, and m159-m170).

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The way organismic agents come to know the world, and the way algorithms solve problems, are fundamentally different. The most sensible course of action for an organism does not simply follow from logical rules of inference. Before it can even use such rules, the organism must tackle the problem of relevance.

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