Publications by authors named "A V Smirnova"

While abstraction is one of the best studied topics in psychology, there is little consensus on its relationship to valence and affect. Some studies have found that abstraction is associated with greater positivity, while other studies have led to the opposite conclusion. In this paper we suggest that a substantial part of this inconsistency can be attributed to the polysemy of the term abstraction.

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Unlabelled: The development of new drugs in nuclear medicine for diagnosis or treatment (chemotherapy) of brain tumors, in particular gliomas, is inextricably linked with the use of tumor models in animals (usually rats).

Objective: To compare the widely used glioma cell model C6 and the new experimental tissue model of glioblastoma 101.8.

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Uranium forms a large number of oxides and its electronic state in them is of great fundamental interest. We employ X-ray absorption spectroscopy at the U L edge to differentiate between mixed oxide phases in uranium compounds. By combining experimental XANES spectra with theoretical modeling using the FEFF code, we analyze five uranium oxides: UO, UO, UO, UO, and UO.

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Background: In clinical practice, various methods are used to identify gene rearrangements in tumor samples, ranging from "classic" techniques, such as IHC, FISH, and RT-qPCR, to more advanced highly multiplexed approaches, such as NanoString technology and NGS panels. Each of these methods has its own advantages and disadvantages, but they share the drawback of detecting only a restricted (although sometimes quite extensive) set of preselected biomarkers. At the same time, whole transcriptome sequencing (WTS, RNAseq) can, in principle, be used to detect gene fusions while simultaneously analyzing an incomparably wide range of tumor characteristics.

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Article Synopsis
  • The paper discusses the growing integration of technology in health care and education, focusing on how digital evidence informs assessment claims.
  • It introduces four key sets of terms—primary vs. secondary data, structured vs. unstructured data, development vs. use, and deterministic vs. generative data—to analyze the application of digital sources in evaluating learners' knowledge and abilities.
  • Through various examples, the paper illustrates how these terms can benefit both the creators and users of technology-driven assessment systems.
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