Results 241 to 250 of about 1,679,071 (295)
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The C-matrix: Augmentation and reduction in the analysis of chemical composition and structure
Chemical Engineering Science, 2014Abstract We propose a unified linear-algebraic approach that allows determining the three key matrices of chemical kinetics: molecular, stoichiometric and Horiuti matrix, all within a single procedure. This procedure is based on calculating a so called C-matrix, which is obtained from each matrix by augmenting it with a unit matrix and then reducing ...
D. Constales, G.S. Yablonsky, G.B. Marin
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Chemical state analysis of ZnO/Ag film interface utilizing the matrix effect
Applied Surface Science, 2003Abstract The degree of oxidization of Ag in the interface of ZnO/Ag has been investigated by utilizing the matrix effect. We monitored various secondary ions (Ag+, CsAg+, Ag−, AgO−) under Cs+ bombardment during the depth profile analysis. It was found that Ag+, Ag−, AgO− secondary ions exhibited a characteristic enhancement of secondary ion yield due
Y Yamamoto +4 more
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Zeolites, 1982
A series of faujasite supported catalysts with monomodal dispersed phases of nickel, palladium, and platinum, exhibiting narrow particle size distributions, are chracterized by X.p.s. (X-ray photoelectron spectroscopy).
Schulz-Ekloff, G. +2 more
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A series of faujasite supported catalysts with monomodal dispersed phases of nickel, palladium, and platinum, exhibiting narrow particle size distributions, are chracterized by X.p.s. (X-ray photoelectron spectroscopy).
Schulz-Ekloff, G. +2 more
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Journal of Biomolecular Structure and Dynamics, 2013
Matrix metalloproteinases (MMPs) play a critical role in physiological processes and pathological conditions such tumor invasion and metastasis. In recent years, a number of MMP inhibitors have been proposed, including the chemically modified tetracyclines (CMTs), which have been evaluated in preclinical cancer models showing promising results.
B L, Marcial +3 more
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Matrix metalloproteinases (MMPs) play a critical role in physiological processes and pathological conditions such tumor invasion and metastasis. In recent years, a number of MMP inhibitors have been proposed, including the chemically modified tetracyclines (CMTs), which have been evaluated in preclinical cancer models showing promising results.
B L, Marcial +3 more
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The Journal of Physical Chemistry B, 2012
This investigation concerns the initial chemical reactions that affect the ionization of matrixes in matrix-assisted laser desorption/ionization (MALDI). The study focuses on the relaxations of photon energy that occur on a comparable time scale to that of ionization, in which the available laser energy is shared and the ionization condition is changed.
Yin-Hung, Lai +6 more
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This investigation concerns the initial chemical reactions that affect the ionization of matrixes in matrix-assisted laser desorption/ionization (MALDI). The study focuses on the relaxations of photon energy that occur on a comparable time scale to that of ionization, in which the available laser energy is shared and the ionization condition is changed.
Yin-Hung, Lai +6 more
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The Journal of Physical Chemistry A, 1997
Author Institution: Chemistry Division, U.S.Naval Research Laboratory; DEPARTMENT OF CHEMISTRY, UNIVERSITY OF NEW ...
Craig A. Thompson +4 more
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Author Institution: Chemistry Division, U.S.Naval Research Laboratory; DEPARTMENT OF CHEMISTRY, UNIVERSITY OF NEW ...
Craig A. Thompson +4 more
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A methodology for equation-based analysis of large chemical processes using the functional matrix
Korean Journal of Chemical Engineering, 1987The equation-based approach to process analysis is necessary for efficient optimization of large and complex processes, and involves the problem of solving a large number of equations. To complement this approach, an improved equation-solving system using the functional matrix suggested by Mattione, Meir and Book was developed, and its capacity for the
Soo Hyoung Choi, En Sup Yoon
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Computers & Chemical Engineering, 2019
Abstract In the learning techniques based on kernel or orthogonal basis functions, the nonlinearity in the underlying complex dynamic process is modelled by a linear combination of a set of kernel or orthogonal basis functions. Once these functional parameters are selected, the learning task boils down to solving linear least squares (LS).
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Abstract In the learning techniques based on kernel or orthogonal basis functions, the nonlinearity in the underlying complex dynamic process is modelled by a linear combination of a set of kernel or orthogonal basis functions. Once these functional parameters are selected, the learning task boils down to solving linear least squares (LS).
openaire +1 more source