Search Results - "BELYAEV, Stanislav"
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Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Published in Frontiers in pharmacology (18-12-2020)“…Generative models are becoming a tool of choice for exploring the molecular space. These models learn on a large training dataset and produce novel molecular…”
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Non-isothermal kinetic analysis of oxidative stabilization processes in PAN fibers
Published in Thermochimica acta (10-08-2010)“…Non-isothermal kinetic analysis of oxidative stabilization processes in polyacrylonitrile (PAN) fibers was studied with the use of the differential scanning…”
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Effects of the August 2003 blackout on the New York City healthcare delivery system: A lesson for disaster preparedness
Published in Critical care medicine (01-01-2005)“…BACKGROUND:On August 14, 2003, the United States and Canada suffered the largest power failure in history. We report the effects of this blackout on New York…”
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Carbonization of polymeric nonwoven materials
Published in Thermochimica acta (20-03-2009)“…Carbonization process of resol phenol formaldehyde resin–polyvinyl butiral copolymer is discussed. Gaseous products of pyrolysis were analyzed by means of…”
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Dr. Watson type Artificial Intellect (AI) Systems
Published 22-06-2021“…The article proposes a new type of AI system that does not give solutions directly but rather points toward it, friendly prompting the user with questions and…”
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Unexplained metabolic acidosis in critically ill patients: the role of pyroglutamic acid
Published in Intensive care medicine (01-03-2004)“…To determine the role of pyroglutamic acid (PGA) in the pathogenesis of unexplained metabolic acidosis in critically ill patients. Case series in the medical…”
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Non-isothermal kinetic analysis of oxidative stabilization processes in PAN fibers
Published in Thermochimica acta (2010)Get full text
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Carbonization of polymeric nonwoven materials
Published in Thermochimica acta (2009)Get full text
Journal Article -
10
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Published 29-11-2018“…Generative models are becoming a tool of choice for exploring the molecular space. These models learn on a large training dataset and produce novel molecular…”
Get full text
Journal Article