Results 71 to 80 of about 8,393,375 (379)
The connected and automated hybrid electric vehicles (CAHEVs) have the potential to improve safety and mitigate traffic congestions. A crucial problem of the CAHEVs is that the lithium-ion batteries are highly temperature sensitive, whose output power is
Chong Zhu, F. Lu, Hua Zhang, C. Mi
semanticscholar +1 more source
Model uncertainty – parameter uncertainty versus conceptual models
Uncertainties in model structures have been recognised often to be the main source of uncertainty in predictive model simulations. Despite this knowledge, uncertainty studies are traditionally limited to a single deterministic model and the uncertainty addressed by a parameter uncertainty study.
Anker Lajer Højberg+1 more
openaire +3 more sources
Landscape of BRAF transcript variants in human cancer
We investigate the annotation of BRAF variants, focusing on protein‐coding BRAF‐220 (formerly BRAF‐reference) and BRAF‐204 (BRAF‐X1). The IsoWorm pipeline allows us to quantify these variants in human cancer, starting from RNA‐sequencing data. BRAF‐204 is more abundant than BRAF‐220 and impacts patient survival.
Maurizio S. Podda+5 more
wiley +1 more source
This manuscript explores the analysis of passivity and synchronization criteria for a complex fractional-order dynamical network model with derivative couplings and time-varying delays. The passivity problem of the proposed network model is deduced using
S. Aadhithiyan+4 more
doaj +1 more source
The impact of mass uncertainties on the r-process nucleosynthesis in neutron star mergers [PDF]
Theoretical predictions of element yields from the rapid neutron capture (r-) process are subject to large uncertainties due to incomplete knowledge of nuclear properties and approximative hydrodynamical modeling of matter ejection. A major source of uncertainty in determining ejecta composition and radioactive decay heat is the lack of nuclear mass ...
arxiv +1 more source
SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty
. SoilGrids produces maps of soil properties for the entire globe at medium spatial resolution (250 m cell size) using state-of-the-art machine learning methods to generate the necessary models.
L. Poggio+6 more
semanticscholar +1 more source
Dynamic Incentive Contracts Under Parameter Uncertainty [PDF]
We analyze a long-term contracting problem involving common uncertainty about a parameter capturing the productivity of the relationship, and featuring a hidden action for the agent. We develop an approach that works for any utility function when the parameter and noise are normally distributed and when the effort and noise affect output additively. We
Julien Prat+2 more
openaire +7 more sources
Multi‐institutional study on image quality for a novel CBCT solution on O‐ring linac
Abstract Introduction This work presents a multi‐institutional study on image quality provided by a novel cone beam computed tomography (CBCT). The main goal is to investigate the consistency of imaging performance across multiple institutions.
Luis Agulles‐Pedrós+11 more
wiley +1 more source
Fine-grained uncertainty relation under the relativistic motion [PDF]
Among various uncertainty relations, the profound fine-grained uncertainty relation is used to distinguish the uncertainty inherent in obtaining any combination of outcomes for different measurements. In this Letter, we explore this uncertainty relation in relativistic regime.
arxiv +1 more source
Uncertainties of Parameters Quantification in SHM
The uncertainties of parameters quantification due to various known and unknown conditions are crucial to understand structural health monitoring (SHM) systems. For instance, the amplitudes and the variation of loading conditions play a vital rule how the structural parameters are going to be changed.
Miah, Mohammad, Lienhart, Werner
openaire +2 more sources