Results 71 to 80 of about 1,158,783 (289)

Some Results On Convex Greedy Embedding Conjecture for 3-Connected Planar Graphs

open access: yes, 2009
A greedy embedding of a graph $G = (V,E)$ into a metric space $(X,d)$ is a function $x : V(G) \to X$ such that in the embedding for every pair of non-adjacent vertices $x(s), x(t)$ there exists another vertex $x(u)$ adjacent to $x(s)$ which is closer to $
A. Kelmans   +13 more
core   +2 more sources

Exploiting metabolic adaptations to overcome dabrafenib treatment resistance in melanoma cells

open access: yesMolecular Oncology, EarlyView.
We show that dabrafenib‐resistant melanoma cells undergo mitochondrial remodeling, leading to elevated respiration and ROS production balanced by stronger antioxidant defenses. This altered redox state promotes survival despite mitochondrial damage but renders resistant cells highly vulnerable to ROS‐inducing compounds such as PEITC, highlighting redox
Silvia Eller   +17 more
wiley   +1 more source

Improving speaker turn embedding by crossmodal transfer learning from face embedding

open access: yes, 2017
Learning speaker turn embeddings has shown considerable improvement in situations where conventional speaker modeling approaches fail. However, this improvement is relatively limited when compared to the gain observed in face embedding learning, which ...
Le, Nam, Odobez, Jean-Marc
core   +1 more source

Cell surface interactome analysis identifies TSPAN4 as a negative regulator of PD‐L1 in melanoma

open access: yesMolecular Oncology, EarlyView.
Using cell surface proximity biotinylation, we identified tetraspanin TSPAN4 within the PD‐L1 interactome of melanoma cells. TSPAN4 negatively regulates PD‐L1 expression and lateral mobility by limiting its interaction with CMTM6 and promoting PD‐L1 degradation.
Guus A. Franken   +7 more
wiley   +1 more source

Embedding Piezoresistive Pressure Sensors to Obtain Online Pressure Profiles Inside Fiber Composite Laminates

open access: yesSensors, 2015
The production of large and complex parts using fiber composite materials is costly due to the frequent formation of voids, porosity and waste products.
Maryam Kahali Moghaddam   +3 more
doaj   +1 more source

VINEA: a policy-based virtual network embedding architecture [PDF]

open access: yes, 2013
Network virtualization has enabled new business models by allowing infrastructure providers to lease or share their physical network. To concurrently run multiple customized virtual network services, such infrastructure providers need to run a virtual ...
Esposito, Flavio   +2 more
core   +1 more source

PARP inhibition and pharmacological ascorbate demonstrate synergy in castration‐resistant prostate cancer

open access: yesMolecular Oncology, EarlyView.
Pharmacologic ascorbate (vitamin C) increases ROS, disrupts cellular metabolism, and induces DNA damage in CRPC cells. These effects sensitize tumors to PARP inhibition, producing synergistic growth suppression with olaparib in vitro and significantly delayed tumor progression in vivo. Pyruvate rescue confirms ROS‐dependent activity.
Nicolas Gordon   +13 more
wiley   +1 more source

Modal Adverbs in FDG: Putting the Theory to the Test

open access: yesOpen Linguistics, 2018
One of the distinctive features of the theory of Functional Discourse Grammar (FDG) is that it distinguishes various hierarchically organized layers of analysis, each of which is provided with a slot for modifiers relevant at the layer in question ...
Keizer Evelien
doaj   +1 more source

Universal Scaling of Thin Current Sheets

open access: yesGeophysical Research Letters, 2020
Thin current sheets (TCSs) with thicknesses about ion Larmor radii are widespread in space. It is important to describe their equilibrium structure allowing them to store and then explosively release the accumulated free energy.
L. M. Zelenyi   +4 more
doaj   +1 more source

Optimal embedding parameters: A modelling paradigm

open access: yes, 2003
Reconstruction of a dynamical system from a time series requires the selection of two parameters, the embedding dimension $d_e$ and the embedding lag $\tau$. Many competing criteria to select these parameters exist, and all are heuristic.
C.K. Tse   +16 more
core   +1 more source

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