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The Effects of Polynomial Degrees
2005This chapter presents the effects of polynomial degrees on the hierarchical segmentation method (HSM) for approximating functions. HSM uses a novel hierarchy of uniform segments and segments with size varying by powers of two. This scheme enables us to approximate non-linear regions of a function particularly well.
Dong-U Lee +3 more
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Effective degree network disease models
Journal of Mathematical Biology, 2010An effective degree approach to modeling the spread of infectious diseases on a network is introduced and applied to a disease that confers no immunity (a Susceptible-Infectious-Susceptible model, abbreviated as SIS) and to a disease that confers permanent immunity (a Susceptible-Infectious-Recovered model, abbreviated as SIR). Each model is formulated
Lindquist, J. +3 more
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Carbohydrate Polymers, 2013
The combined effects of degree of deacetylation (DD) and degree of polymerization (DP) on the ability of chitosan to interact with olive oil was studied. The oil-binding test, a method that makes use of olive oil as a representative fat, was adopted as a measure of the interaction of chitosan and olive oil. The oil-binding capacities of twelve chitosan
Ian Ken D, Dimzon +2 more
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The combined effects of degree of deacetylation (DD) and degree of polymerization (DP) on the ability of chitosan to interact with olive oil was studied. The oil-binding test, a method that makes use of olive oil as a representative fat, was adopted as a measure of the interaction of chitosan and olive oil. The oil-binding capacities of twelve chitosan
Ian Ken D, Dimzon +2 more
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EFFECTS OF DEGREE CORRELATION ON THE SYNCHRONIZATION OF NETWORKS OF OSCILLATORS
International Journal of Bifurcation and Chaos, 2007In this paper, we investigate the effects of degree correlation on the synchronization of networks of coupled identical nonlinear oscillators. Firstly, it is shown both numerically and theoretically that synchronizability is enhanced when the network topology exhibits negative degree correlation.
DI BERNARDO, MARIO +2 more
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Estimating Effective Degrees of Freedom in Motor Systems
IEEE Transactions on Biomedical Engineering, 2008Studies of the degrees of freedom and "synergies" in musculoskeletal systems rely critically on algorithms to estimate the "dimension" of kinematic or neural data. Linear algorithms such as principal component analysis (PCA) are the most popular. However, many biological data (or realistic experimental data) may be better represented by nonlinear sets ...
Robert H. Clewley +2 more
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Effective embeddings into strong degree structures
Mathematical Logic Quarterly, 2003AbstractWe show that any partial order with a Σ3 enumeration can be effectively embedded into any partial order obtained by imposing a strong reducibility such as ≤tt on the c. e. sets. As a consequence, we obtain that the partial orders that result from imposing a strong reducibility on the sets in a level of the Ershov hiearchy below ω + 1 are co ...
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Effectively retractable theories and degrees of undecidability
The Journal of Symbolic Logic, 1970In this paper a new property of theories, called effective retractability is introduced and used to obtain a characterization for the degrees of subtheories of arithmetic and set theory. By theory we understand theory in standard formalization as defined by Tarski [10].
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Effective Degree of Mydriasis with Phenylephrine and Tropicamide
American journal of optometry and physiological optic, 1976ABSTRACT The mydriatic effects of several concentrations of phenylephrine and of tropicamide were studied in 84 young adults for 90 min following topical instillation. Pupillary diameter was estimated (a) under ambient photopic illumination and (b) when illumination was increased to that associated with direct ophthalmoscopy ...
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EFFECT OF DEGREE OF COMPRESSION ON TEXTURE
Journal of Texture Studies, 2004ABSTRACTi
MUHAMMAD IMRAN AL‐HAQ +1 more
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Effective Concept Classes of PAC and PACi Incomparable Degrees, Joins and Embedding of Degrees
The Bulletin of Symbolic Logic, 2023AbstractThe Probably Approximately Correct (PAC) learning is a machine learning model introduced by Leslie Valiant in 1984. The PACi reducibility refers to the PAC reducibility independent of size and computation time. This reducibility in PAC learning resembles the reducibility in Turing computability.
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