Results 51 to 60 of about 1,046,371 (288)
Molecular Oncology, EarlyView.This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns +10 more
wiley +1 more source
SICE Journal of Control, Measurement, and System Integration, 2020 Robot mapping and exploration tasks are crucial for many robotic applications and allow mobile robots to autonomously navigate in unknown environments. An accurate model of the environment is, therefore, essential for the robots to localize and perform ...
Ankit A. Ravankar +3 more
doaj +1 more source
Surrogate modeling of RF circuit blocks [PDF]
, 2010 Surrogate models are a cost-effective replacement for expensive computer simulations in design space exploration. Literature has already demonstrated the feasibility of accurate surrogate models for single radio frequency (RF) and microwave devices ...
Croon, Jeroen A +3 more
core +1 more source
Aftershocks in coherent-noise models [PDF]
Physica D: Nonlinear Phenomena, 1998 23 pages, 8 figures, Latex with elsart.cls, revised version accepted for publication in Physica ...
Wilke, C., Altmeyer, S., Martinetz, T.
openaire +2 more sources
Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
An Enhanced Adaptive Kalman Filter for Multibody Model Observation
SensorsThe topic of state estimation using multibody models combined with Kalman filters has been an active field of research for more than 15 years now. Through state estimation, virtual sensors can be used to increase the knowledge of a system, measuring ...
Antonio J. Rodríguez +2 more
doaj +1 more source
Relative entropy minimizing noisy non-linear neural network to approximate stochastic processes
, 2014 A method is provided for designing and training noise-driven recurrent neural networks as models of stochastic processes. The method unifies and generalizes two known separate modeling approaches, Echo State Networks (ESN) and Linear Inverse Modeling ...
Galtier, Mathieu N. +3 more
core +2 more sources
Reduced dimension modeling of leading edge turbulent interaction noise [PDF]
, 2014 A computational aeroacoustics approach is used to model the effects of real airfoil geometry on leading edge turbulent interaction noise for symmetric airfoils at zero angle of attack.
Bailly C. +5 more
core +1 more source
Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma
Molecular Oncology, EarlyView.The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic +5 more
wiley +1 more source
From models to reality: how CNOSSOS-EU and ISO 9613-2 perform against measured road traffic noise
Noise MappingRoad traffic noise is a significant environmental risk factor to the human health, resulting in the necessity for accurate noise prediction models with less uncertainty. Several standards and methods are available in commercial noise modeling software to
Odeh Omar, Kocsis Dénes
doaj +1 more source