نتایج جستجو برای: ژن ifs

تعداد نتایج: 17613  

Journal: :Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas 1999
M Garbuglia M Verzini G Sorci R Bianchi I Giambanco A L Agneletti R Donato

The Ca2+-modulated, dimeric proteins of the EF-hand (helix-loop-helix) type, S100A1 and S100B, that have been shown to inhibit microtubule (MT) protein assembly and to promote MT disassembly, interact with the type III intermediate filament (IF) subunits, desmin and glial fibrillary acidic protein (GFAP), with a stoichiometry of 2 mol of IF subunit/mol of S100A1 or S100B dimer and an affinity o...

Journal: :BioEssays : news and reviews in molecular, cellular and developmental biology 2007
Laurent Kreplak Douglas Fudge

The animal cell cytoskeleton consists of three interconnected filament systems: actin-containing microfilaments (MFs), microtubules (MTs), and the lesser known intermediate filaments (IFs). All IF proteins share a common tripartite domain structure and the ability to assemble into 8-12 nm wide filaments. Electron microscopy data suggest that IFs are built according to a completely different pla...

Journal: :IEEE transactions on image processing : a publication of the IEEE Signal Processing Society 1994
Roberto Rinaldo Avideh Zakhor

The geometry of fractals is rich enough that they have extensively been used to model natural phenomena and images. Iterated function systems (IFS) theory provides a convenient way to describe and classify deterministic fractals in the form of a recursive definition. As a result, it is conceivable to develop image representation schemes based on the IFS parameters that correspond to a given fra...

1998
In Kwon Kim Rae-Hong Park

A fast coding algorithm for images using vector quantization (VQ) and pixelwise fractal approximation is proposed. The low frequency component of an input image is approximated and its residual is used to calculate the scaling factor of fractal transform. The scaling factor is compressed by transform VQ (TVQ). In the proposed method, lo encode a digital image by an iterated function system (IFS...

2017
Ke Zheng Tian Han Meiyan Li Yinan Han Ye Xu Rupal Shah Xingtao Zhou

BACKGROUND To report a case of interface fluid syndrome (IFS) following small incision lenticule extraction (SMILE) evaluated with corneal densitometry and optical coherence tomography (OCT). CASE PRESENTATION An 18-year-old man reported sudden vision loss 24 days after SMILE procedure. Intraocular pressure (IOP) was 36.3 mmHg (OD) and 36.7 mmHg (OS) by noncontact tonometry. Moderate corneal ...

Journal: :Archives of otolaryngology--head & neck surgery 2003
John M DelGaudio Ron E Swain Todd T Kingdom Susan Muller Patricia A Hudgins

OBJECTIVE To determine the radiographic findings of computed tomographic (CT) imaging most suggestive of invasive fungal sinusitis (IFS) in an immunocompromised patient population. DESIGN A retrospective review of patients with a diagnosis of IFS reached with CT and confirmed by histopathologic evaluation. SETTING An academic tertiary care hospital. PATIENTS Twenty-three immunocompromised...

Journal: :CoRR 2017
Peter Bloem Steven de Rooij

We present an Expectation-Maximization algorithm for the fractal inverse problem: the problem of fitting a fractal model to data. In our setting the fractals are Iterated Function Systems (IFS), with similitudes as the family of transformations. The data is a point cloud in R with arbitrary dimension H. Each IFS defines a probability distribution on R , so that the fractal inverse problem can b...

Journal: :Chaos 2012
Zachary Alexander James D Meiss Elizabeth Bradley Joshua Garland

We investigate the use of iterated function system (IFS) models for data analysis. An IFS is a discrete-time dynamical system in which each time step corresponds to the application of one of the finite collection of maps. The maps, which represent distinct dynamical regimes, may be selected deterministically or stochastically. Given a time series from an IFS, our algorithm detects the sequence ...

Journal: :CoRR 2017
Sadegh Eskandari Emre Akbas

In this paper, we present a new feature selection method that is suitable for both unsupervised and supervised problems. We build upon the recently proposed Infinite Feature Selection (IFS) method where feature subsets of all sizes (including infinity) are considered. We extend IFS in two ways. First, we propose a supervised version of it. Second, we propose new ways of forming the feature adja...

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