Results 61 to 70 of about 4,152,384 (323)

Nanoconnectomic upper bound on the variability of synaptic plasticity

open access: yeseLife, 2015
Information in a computer is quantified by the number of bits that can be stored and recovered. An important question about the brain is how much information can be stored at a synapse through synaptic plasticity, which depends on the history of ...
T. Bartol   +6 more
semanticscholar   +1 more source

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

open access: yesMolecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska   +13 more
wiley   +1 more source

Optimal large time behavior of the 3D rate type viscoelastic fluids

open access: yesAdvances in Nonlinear Analysis
We investigate optimal decay estimates of solutions to the 3D Cauchy problem of the rate type viscoelastic fluids. The main novelty of this article involves three aspects: first, we show that the second-order and third-order spatial derivative of the ...
Chen Yangyang, Zhang Yinghui
doaj   +1 more source

A modification of Silber’s algorithm to derive bounds on Gini’s concentration ratio from grouped observations

open access: yesStatistica, 2007
Silber (1990) devised an algorithm to derive the bounds of Gini’s concentration ratio from grouped data, which does not require information on the limits of the income brackets, the group mean incomes, or the overall mean income. In the case of the upper
Tomson Ogwang, Baotai Wang
doaj   +1 more source

Loss of proton‐sensing TDAG8 increases tumor progression in mouse models of colon cancer

open access: yesMolecular Oncology, EarlyView.
Loss of the pH‐sensing receptor TDAG8 accelerates colorectal cancer progression in mice. Animals lacking TDAG8 expression had increased tumor growth, DNA damage, and recruitment of tumor‐associated immune cells, including macrophages, neutrophils, and monocytes.
Ermanno Malagola   +11 more
wiley   +1 more source

Upper Iowa University campus, 1908

open access: yes, 1908
Two photographic views of campus. Top view is taken looking uphill from the west. Left to right: (some buildings behind trees) are Science Hall [no longer exists; now location of Colgrove-Walker]; Main Building [now Alexander-Dickman]; Ladies Hall [no ...
Upper Iowa University
core   +1 more source

On the Upper Bounds of Eigenvalues for a Class of Systems of Ordinary Differential Equations with Higher Order

open access: yesInternational Journal of Differential Equations, 2011
The estimate of the upper bounds of eigenvalues for a class of systems of ordinary differential equations with higher order is considered by using the calculus theory.
Gao Jia, Li-Na Huang, Wei Liu
doaj   +1 more source

Upper bound estimate of character sums over Lehmer’s numbers [PDF]

open access: yesJournal of Inequalities and Applications, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Han, Di, Zhang, Wenpeng
openaire   +2 more sources

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

open access: yesMolecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur   +11 more
wiley   +1 more source

Sharper Variance Upper Bound for Unbiased Estimation in Inverse Sampling

open access: yesBiometrika, 1982
Sathe (1977) improved upon the bounds of Mikulski and Smith (1976) for the variance of inverse binomial estimator. We have obtained still better upper bounds. The betterment is numerically illustrated.
GOVIND PRASAD, ASHOK SAHAI
openaire   +2 more sources

Home - About - Disclaimer - Privacy