نتایج جستجو برای: pgm
تعداد نتایج: 1063 فیلتر نتایج به سال:
To acquire state-of-the-art hardware at reduced cost, the U.S. Navy is committed to buying Commercial Off The Shelf (COTS) computer hardware. In this rapidly changing technological world, today's hardware will be obsolete tomorrow. The Navy's complex problems often require more computational power than can be delivered by a single serial processor. The solution lies in distributed processing. H...
AIM To perform a blind study to assess the capability of the Ion Personal Genome Machine® (PGM™) system to sequence forensically relevant genetic marker panels and to characterize unknown individuals for ancestry and possible relatedness. METHODS Twelve genomic samples were provided by a third party for blinded genetic analysis. For these 12 samples, the mitochondrial genome and three PGM™ pa...
Functional Connectomics from Data: Probabilistic Graphical Models for Neuronal Network of C. elegans
We propose a data-driven approach to represent neuronal network dynamics as a Probabilistic Graphical Model (PGM). Our approach learns the PGM structure by employing dimension reduction to network response dynamics evoked by stimuli applied to each neuron separately. The outcome model captures how stimuli propagate through the network and thus represents functional dependencies between neurons,...
T-cell based vaccines against human immunodeficiency virus (HIV) generate specific responses that may limit both transmission and disease progression by controlling viral load. Broad, polyfunctional, and cytotoxic CD4+T-cell responses have been associated with control of simian immunodeficiency virus/HIV-1 replication, supporting the inclusion of CD4+ T-cell epitopes in vaccine formulations. Pl...
Please cite this article in press as: Han J et a doi:10.1016/j.microrel.2010.07.154 Logic circuits built using nanoscale technologies have significant reliability limitations due to fundamental physical and manufacturing constraints of their constituent devices. This paper presents a probabilistic gate model (PGM), which relates the output probability to the error and input probabilities of an ...
Atomic force microscopy has been utilized to probe, at a molecular level, the interaction between purified pig gastric mucin (PGM) and a mucoadhesive cationic polymer, chitosan (sea cure 210+), with a low degree (approx. 11%) of acetylation. Images were produced detailing the structures of both PGM and chitosan in 0.1 M acetate buffer (pH 4.5), followed by the complex of the two structures in t...
Human lice (Phthiraptera: Pediculidae) from Africa, America and Europe were electrophoresed for 28 enzymes, with special interest in metabolic factors likely to be involved with insecticide resistance. Zymogram profiles of the body louse (Pediculus humanus L. from France and U.S.A.) and the head louse (P. capitis DeGeer from France, Madagascar, Mali & Senegal) were compared. Only esterase two e...
There is a trend to acquire high accuracy land-cover maps using multi-source classification methods, most of which are based on data fusion, especially pixel-or feature-level fusions. A probabilistic graphical model (PGM) approach is proposed in this research for 30 m resolution land-cover mapping with multi-temporal Landsat and MODerate Resolution Imaging Spectroradiometer (MODIS) data. Indepe...
We introduce the Hidden Polynomial Function Graph Problem as a natural generalization of the abelian Hidden Subgroup Problem (HSP) over groups of the form Zp × Zp, where the hidden subgroups are generated by (1, a) for different a ∈ Zp. These subgroups and their cosets correspond to graphs of linear functions on Zp. For the Hidden Polynomial Function Graph Problem the functions are not restrict...
To find the genes controlling quantitative variation, we need model systems where functional information on physiology, development, and gene regulation can guide evolutionary inferences. We mapped quantitative trait loci (QTLs) influencing quantitative levels of enzyme activity in primary and secondary metabolism in Arabidopsis. All 10 enzymes showed highly significant quantitative genetic var...
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