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Scientific Essay from the year 2015 in the subject Engineering - Computer Engineering, Moscow State Pedagogical University, language: Russian, abstract: In this paper we propose a computer classification and semiautomatic database collection for remote searching and choosing of the suitable instruments for accelerator mass spectrometry in geoarchaeological and archaeomineralogical research. This novel approach offers considerable practical advantages, because the literature data are borrowed from different Web-sources and can be compared, systematized and uniformly generalized using this…mehr

Produktbeschreibung
Scientific Essay from the year 2015 in the subject Engineering - Computer Engineering, Moscow State Pedagogical University, language: Russian, abstract: In this paper we propose a computer classification and semiautomatic database collection for remote searching and choosing of the suitable instruments for accelerator mass spectrometry in geoarchaeological and archaeomineralogical research. This novel approach offers considerable practical advantages, because the literature data are borrowed from different Web-sources and can be compared, systematized and uniformly generalized using this program tool. Geoarchaeological / archaeomineralogical accelerator mass spectrometry usually operates in a wide range of acceleration voltages (from 200 KV to 14 MV), measuring accuracies and limiting detection sensitivities (including attomole, subattomole, femtomole and zeptomole levels). This work is facilitated by the use of the accelerator system classification by a multifactor optimization criteria correlated with any application areas of these devices with different physical / metrological characteristics. The above methods we have developed provide a basis not only for systematization of the well-known data and instrument selection in contemporary parametric manifold of the existing AMS instruments but also for an objective prediction of the geoarchaeological / archaeomineralogical research trends and novel research branches / areas, based on the AMS technique application. Some examples of this prognostic approach applicability are mentioned in this report.
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Autorenporträt
Oleg V. Gradov is the leader of the Biophysical Instrumentation Group at the Tal'roze Institute for Energy Problems of Chemical Physics (Russian Academy of Sciences), working in the Laboratory of Biological Effects of Nanostructures. His recent works are focused on lab-on-a-chip design for multispectral multiparametric mapping, ERD-SBGN-mapping of biological samples, chemometric microscopy, and spectroelectrochemical and electro-morphological techniques for biomembranes and neural structures. He has collaborated with researchers in several other areas of computer-assisted biophysical and biochemical investigations, including neurophysiology and neuromorphology, biogeochemistry and biogeophysics, photobiochemistry and laser biophysics, bioinformatics and chemoinformatics. Oleg has served on around 10 conference and workshop program committees and is the Program Chair for the Analog Signal Processing-Based Bioinformatics Seminar (ASP-BB) at INEPCP, Moscow. He is also an ambassador of ASAPBio (Accelerating Science and Publication in Biology, based in Cambridge, USA) in Russia and member of several advisory boards. Oleg has founded some novel trends in analog biomedical engineering and quantitative microscopy. He is the author of 120 journal papers and 90 conference papers and seminar reports before 2018, and an editorial board member of 10 journals. His group's recent grants include: "Development of the novel physical methods for complex biomedical diagnostics based on position-sensitive mapping with the angular resolution at the tissue and cellular levels using analytical labs-on-a-chip" (RFBR # 16-32-00914) and "Lab-on-a-chip development for personalized diagnostics" (FASIE 0019125).