94 research outputs found
Methods for preparing 3-hydroxycarboxylic acids and captopril
No full textCaptopril (1-[(2$i(S))-3-mercapto-2-methylpropionyl]-L-proline) of formula (I) is prepared from 2-methyl-1,3-propandiol by microbial oxidation to obtain (R)-3-hydroxy-2-methyl propionic acid, by chlorination to obtain (R)-3-chloro-2-methyl propionyl chloride and by subsequent reaction with L-proline to obtain the corresponding N-(3-chloro-2-methylpropionyl-L-proline) and by conversion of the chloromethyl group into the mercaptomethyl group. Captopril is a antihypertensive pharmaceutical active substance
Trajectory Analysis for Sport and Video Surveillance
No full textIn video surveillance and sports analysis applications, object trajectories offer the possibility of extracting rich information on the underlying behavior of the moving targets. To this end we introduce an extension of Point Distribution Models (PDM) to analyze the object motion in their spatial, temporal and spatiotemporal dimensions. These trajectory models represent object paths as an average trajectory and a set of deformation modes, in the spatial, temporal and spatiotemporal domains. Thus any given motion can be expressed in terms of its modes, which in turn can be ascribed to a particular behavior. The proposed analysis tool has been tested on motion data extracted from a vision system that was tracking radio-guided cars running inside a circuit. This affords an easier interpretation of results, because the shortest lap provides a reference behavior. Besides showing an actual analysis we discuss how to normalize trajectories to have a meaningful analysis
ChemInform Abstract: SYNTHESIS OF 1,2‐DIHYDROPYRIDINES, 2,3‐DIHYDRO‐4(1H)‐PYRIDINONE, AND 1,2,3,4‐TETRAHYDROPYRIDINES VIA N‐ACYL N,O‐HEMIACETAL FORMATION
No full textChemInform Abstract: Renewable Functionalized Pyridines Derived from Microbial Metabolites of the Alkaloid (S)-Nicotine.
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Electronic Letters on Computer Vision and Image Analysis 5(3):148-156, 2005 Trajectory Analysis for Sport and Video Surveillance
No full textIn video surveillance and sports analysis applications, object trajectories offer the possibility of extracting rich information on the underlying behavior of the moving targets. To this end we introduce an extension of Point Distribution Models (PDM) to analyze the object motion in their spatial, temporal and spatiotemporal dimensions. These trajectory models represent object paths as an average trajectory and a set of deformation modes, in the spatial, temporal and spatiotemporal domains. Thus any given motion can be expressed in terms of its modes, which in turn can be ascribed to a particular behavior. The proposed analysis tool has been tested on motion data extracted from a vision system that was tracking radio-guided cars running inside a circuit. This affords an easier interpretation of results, because the shortest lap provides a reference behavior. Besides showing an actual analysis we discuss how to normalize trajectories to have a meaningful analysis
Trajectory Analysis for Sport and Video Surveillance
No full textIn video surveillance and sports analysis applications, object trajectories offer the possibility of extracting rich information on the underlying behavior of the moving targets. To this end we introduce an extension of Point Distribution Models (PDM) to analyze the object motion in their spatial, temporal and spatiotemporal dimensions. These trajectory models represent object paths as an average trajectory and a set of deformation modes, in the spatial, temporal and spatiotemporal domains. Thus any given motion can be expressed in terms of its modes, which in turn can be ascribed to a particular behavior. The proposed analysis tool has been tested on motion data extracted from a vision system that was tracking radio-guided cars running inside a circuit. This affords an easier interpretation of results, because the shortest lap provides a reference behavior. Besides showing an actual analysis we discuss how to normalize trajectories to have a meaningful analysis
How do we make indoor environments and healthcare settings healthier?
No full text© The Author(s), 2016. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Microbial Biotechnology 10 (2017): 11-13, doi:10.1111/1751-7915.12430.It is now well accepted that our modern lifestyle has certain implications for our health (Schaub et al., 2006), mainly as a result of our willingness to remove ourselves from the biological diversity of our natural environments (Roduit et al., 2016), while still being drawn inextricably to interact with it (Kellert and Wilson, 1995). Much of our interaction with the biological world is shaped by our interaction with the microbiological world. The bacteria, fungi, viruses, archaea and protists that comprise the microbiome of this planet, are also key to the development and normal functioning of our bodies. Our immune system is built to shepherd our microbial exposure, ensuring that microbial organisms that we need are kept close (but not too close), and that less-desirable organisms are expelled or killed before they can do too much damage. By moving from a life interacting with nature on a regular basis, to a life in which we isolate ourselves physically from natural microbial exposure, we may have instigated one of the great plagues of the 21st century; chronic immune disorders.This manuscript was prepared in part with funding from the Alfred P Sloan Foundation
A Microreactor Strategy for the Synthesis of Tetrazoles
No full textThe broad application of the tetrazole scaffold in different fields, such as general and coordination chemistry, material science, microbiological and medicinal chemistry in recent years demands robust and safe methods for their preparation on production scale. [...
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