نتایج جستجو برای: مدل swap

تعداد نتایج: 123507  

Journal: :The Journal of nervous and mental disease 2008
Pavel S Blagov Drew Westen

After the introduction of histrionic personality disorder (HPD), nosologists struggled to reduce its overlap with borderline personality disorder and other PDs. We studied the coherence of HPD in adults and adolescents as part of 2 larger studies. Clinicians described a random patient with personality pathology using rigorous psychometrics, including the SWAP-II (a Q-sort that captures personal...

2013
Anne Götz Rolf Jessberger

In addition to classical adhesion structures like filopodia or focal adhesions, dendritic cells similar to macrophages and osteoclasts assemble highly dynamic F-actin structures called podosomes. They are involved in cellular processes such as extracellular matrix degradation, bone resorption by osteoclasts, and trans-cellular diapedesis of lymphocytes. Besides adhesion and migration, podosomes...

Journal: :Management Science 2014

Journal: :The American journal of tropical medicine and hygiene 2003
Isis F Magalhães-Santos Denise C Lemaire Antonio S Andrade-Filho Aristides C Queiroz Otávio M Carvalho Theomira M A Carmo Isadora C Siqueira Débora M Andrade Michely F Rego Ana Paula T Guedes Mitermayer G Reis

Cerebrospinal fluid (CSF) and serum samples from patients suspected of having neuroschistosomiasis (NS) were evaluated by an enzyme-linked immunosorbent assay. Monoclonal antibodies of various immunoglobulin isotypes (IgM, IgA, IgE, total IgG, IgG1, IgG2, IgG3, and IgG4) were used to detect antibodies against Schistosoma mansoni soluble egg antigen (SEA) and soluble worm adult preparation (SWAP...

Journal: :Molecular biology of the cell 2003
Pirta Hilpelä Pia Oberbanscheidt Penelope Hahne Martin Hund Georg Kalhammer J Victor Small Martin Bähler

Functionally different subsets of actin filament arrays contribute to cellular organization and motility. We report the identification of a novel subset of loose actin filament arrays through regulated association with the widely expressed protein SWAP-70. These loose actin filament arrays were commonly located behind protruding lamellipodia and membrane ruffles. Visualization of these loose ac...

1999
Hua He

Swap spreads, the interest rate differentials between the fixed rates on fixed-for-floating swap contracts and the yields-to-maturity on maturity-matched government bonds, define a market for one of the most actively transacted securities in the global fixed-income arena. A large universe of fixed-income securities including corporate bonds and mortgaged-back securities use interest rate swap s...

2015
Sarah G. Nurre

Optimizing operations at plug-in hybrid electric vehicle (PHEV) battery swap stations is internally motivated by the movement to make transportation cleaner and more efficient. A PHEV swap station allows PHEV owners to quickly exchange their depleted PHEV battery for a fully charged battery. The PHEV-Swap Station Management Problem (PHEV-SSMP) is introduced, which models battery charging and di...

2014
Divyanshu Vats Richard G. Baraniuk

We consider the high-dimensional sparse linear regression problem of accurately estimating a sparse vector using a small number of linear measurements that are contaminated by noise. It is well known that the standard cadre of computationally tractable sparse regression algorithms—such as the Lasso, Orthogonal Matching Pursuit (OMP), and their extensions—perform poorly when the measurement matr...

Journal: :Finance and Stochastics 2012
David Hobson Martin Klimmek

A variance swap is a derivative with a path-dependent payoff which allows investors to take positions on the future variability of an asset. In the idealised setting of a continuously monitored variance swap written on an asset with continuous paths it is well known that the variance swap payoff can be replicated exactly using a portfolio of puts and calls and a dynamic position in the asset. T...

Journal: :CoRR 2013
Divyanshu Vats Richard G. Baraniuk

We consider the high-dimensional sparse linear regression problem of accurately estimating a sparse vector using a small number of linear measurements that are contaminated by noise. It is well known that the standard cadre of computationally tractable sparse regression algorithms—such as the Lasso, Orthogonal Matching Pursuit (OMP), and their extensions—perform poorly when the measurement matr...

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