Results 101 to 110 of about 15,642,613 (349)

The Sequential Generation of Gaussian Random Fields for Applications in the Geospatial Sciences

open access: yesISPRS International Journal of Geo-Information, 2014
This paper presents practical methods for the sequential generation or simulation of a Gaussian two-dimensional random field. The specific realizations typically correspond to geospatial errors or perturbations over a horizontal plane or grid. The errors
John Dolloff, Peter Doucette
doaj   +1 more source

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

open access: yesMolecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka   +9 more
wiley   +1 more source

FuRA: Fully Random Access Light Field Image Compression [PDF]

open access: yes, 2022
International audienceLight fields are typically represented by multi-view images, and enable post-capture actions such as refocusing and perspective shift.
Guillemot, Christine   +2 more
core  

Effects of the heterogeneity of multiple correlated random parameters on solute transport

open access: yesShui kexue jinzhan, 2012
Based on the given probability distributions of hydraulic conductivity,porosity,and adsorption coefficient,a sequential Gaussian simulation method is used to generate multiple correlated stochastic parameter fields.The generated parameter values are used
SHI Xiao-qing   +4 more
doaj   +1 more source

Can a Training Image Be a Substitute for a Random Field Model?

open access: yesMathematical Geosciences, 2014
In most multiple-point simulation algorithms, all statistical features are provided by one or several training images (TI) that serve as a substitute for a random field model.
X. Emery, C. Lantuéjoul
semanticscholar   +1 more source

ZW4864‐mediated inhibition of the β‐catenin/BCL9/BCL9L complex reveals therapeutic potential in bladder cancer

open access: yesMolecular Oncology, EarlyView.
BCL9 and BCL9L drive bladder cancer progression by enhancing β‐catenin signaling, promoting proliferation, migration, invasion, and organoid growth. Genetic depletion of BCL9(L) suppresses malignant phenotypes, while pharmacological disruption of the β‐catenin/BCL9(L) complex with ZW4864 inhibits canonical Wnt signaling and tumor‐associated cellular ...
Roland Kotolloshi   +11 more
wiley   +1 more source

Hidden Markov random field and FRAME modelling for TCA-image analysis [PDF]

open access: yes
Tooth Cementum Annulation (TCA) is an age estimation method carried out on thin cross sections of the root of human teeth. Age is computed by adding the tooth eruption age to the count of annual incremental lines that are called tooth rings and appear in
Katy Streso, Francesco Lagona
core  

Fandom as Methodology: Introduction [PDF]

open access: yes, 2019
Fandom, in its many guises, crosses over with the practice of many contemporary artists, as well as writers about contemporary art. Rather than a new contribution to fan studies, this collection sits alongside the growing literature on fandom as a set of
Grant, Catherine, Random Love, Kate
core  

Solution of Static Field Problems With Random Domains [PDF]

open access: yes, 2010
A method to solve stochastic partial differential equations on random domains consists in using a one-to-one random mapping function which transforms the random domain into a deterministic domain.
Stephane Clenet   +7 more
core   +1 more source

Analysis of Beams with a Three-dimensional Random Field of the Modulus of Elasticity Using the Stochastic Finite Element Method [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences
This study proposes a stochastic finite element method (SFEM) for analyzing the static response of beams with material properties modeled as three-dimensional spatial random fields. The method employs weighted integration to discretize spatial variations
Nguyen Dang Diem   +2 more
doaj   +1 more source

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