Search results for "component"
showing 10 items of 1682 documents
Pure Component Pricing in a Duopoly
2002
In this paper, we focus on price competition between several multiproduct firms which produce differentiated systems, each consisting of two complementary products. It is shown here that if firms are restricted to pure component pricing (bundling is not allowed) whenever components produced are compatible, pure strategy equilibrium may not exist. With the use of bundling strategies, pure strategy equilibrium always exists. For the pure component pricing case we provide a full characterization for the existence of a pure strategy equilibrium.
Sylow permutable subnormal subgroups of finite groups
2002
[EN] An extension of the well-known Frobenius criterion of p-nilpotence in groups with modular Sylow p-subgroups is proved in the paper. This result is useful to get information about the classes of groups in which every subnormal subgroup is permutable and Sylow permutable.
The reconstitution of human C1, the first complement component Binding of C1r and C1s to C1q influences the C1q conformation
1981
Mode of interaction of different polyanions with the first (), the second (C2) and the fourth (C4) component of complement—II
1976
Abstract Dextran sulfate, polyvinyl sulfate, liquoid, heparin and Sp 54, ∗ (a pentosanpoly-sulfoester) prevented the uptake of C2 by EAC4b. In contrast to EAC 4 b 2 a , treatment of EAC4b2 with polyanions led to dissociation into EAC4b and C2. The inhibition of C2 uptake by polyanions could be reduced by increasing magnesium concentration to levels which are normally inhibitory, suggesting that Mg ++ ions are sequestered by these sulfated polyanions.
Combined complete C5 and partial C4 deficiency in humans: clinical consequences and complement-mediated functions in vitro.
1990
A family is described with two siblings who suffered at different times from a single episode of meningococcal meningitis by Neisseria meningitidis groups B and C, respectively. In the two subjects, hemolytically active fifth component of complement (C5) was not detectable and antigenic C5 was less than 0.05% and less than 0.7% of normal, respectively. Repletion of sera by purified human C5 (70 micrograms/ml) restored total complement hemolytic activities. The asymptomatic first degree family members had C5 levels compatible with a heterozygous state of C5 deficiency. C4 allotyping revealed an inherited partial deficiency (Q0) of C4A and C4B in the family with a combined C4AQ0 and C4BQ0 het…
Complement receptors on lymphocytes
1981
Incremental Generalized Discriminative Common Vectors for Image Classification.
2015
Subspace-based methods have become popular due to their ability to appropriately represent complex data in such a way that both dimensionality is reduced and discriminativeness is enhanced. Several recent works have concentrated on the discriminative common vector (DCV) method and other closely related algorithms also based on the concept of null space. In this paper, we present a generalized incremental formulation of the DCV methods, which allows the update of a given model by considering the addition of new examples even from unseen classes. Having efficient incremental formulations of well-behaved batch algorithms allows us to conveniently adapt previously trained classifiers without th…
Backbone Extraction of Weighted Modular Complex Networks based on their Component Structure
2023
This work introduces a generic backbone extraction framework exploiting the mesoscopic network structure. Indeed, numerous real-world networks are made of dense groups of nodes called communities, multi-core or local components. To deal with these groups' heterogeneity, we propose to extract the backbones independently from their various components and fuse them. Experimental investigations on real-world networks demonstrate the effectiveness of the proposed approach compared to the classical techniques' agnostic of the mesoscopic structure of real-world networks.
Day-ahead forecasting for photovoltaic power using artificial neural networks ensembles
2016
Solar photovoltaic plants power output forecasting using machine learning techniques can be of a great advantage to energy producers when they are implemented with day-ahead energy market data. In this work a model was developed using a supervised learning algorithm of multilayer perceptron feedforward artificial neural network to predict the next twenty-four hours (day-ahead) power of a solar facility using fetched weather forecast of the following day. Each set of tested network configuration was trained by the historical power output of the plant as a target. For each configuration, one hundred networks ensembles was averaged to give the ability to generalize a better forecast. The train…