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The elementary study of Aristotelian logic had proved indispensable for a disciplined training of theologians, and some of the concepts from Aristotle's Physics and Metaphysics that entered into the elaboration of this logic became equally essential for the rational formulation of points of dogma.
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Our methods are based on a complex formulation of point-mass gravitational lensing and techniques from the theory of resultants.
The proposal is unique for interest point detection because it poses a MO formulation of the point detection problem.
Reactor power is represented by the generation time formulation of the point kinetics equations with a single combined neutron precursor group.
This paper presents an original formulation of two-point boundary value and eigenvalue problems expressed as a system of first-order equations.
These algebraic relations were used to circumvent the effects of the isotropic assumption embedded in the formulation of one-point closure turbulence models.
Explicit criteria are presented for the formulation of two point boundary elements which are ultimately true upper or lower bound elements on uniform finite element meshes.
An exemplar of such architectures is a dynamical formulation of equilibrium-point models that are well-known in the motor control literature [11], [37] [40].
The appeal, a day after the White House released 100 pages of e-mails on the formulation of official talking points on the Benghazi attacks, seemed calculated to draw a line under the issue, after months of criticism by Republicans that the State Department mishandled security in Benghazi and then airbrushed its account of the attack.
The main novelty of our approach comes from the joint Bayesian formulation of projecting data points into a shared subspace and learning predictive models for all drugs in this subspace, which enables us to capture commonalities between subsets of drugs to improve predictive performance.
The main novelty of our method is the joint Bayesian formulation of projecting data points into a shared subspace and learning predictive models for all drugs in this subspace, which helps us to eliminate off-target effects and drug-specific experimental noise.
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