Track structure modeling in liquid water: A review of the Geant4-DNA very low energy extension of the Geant4 Monte Carlo simulation toolkit
…, MC Bordage, JMC Brown, M Davídková, E Delage… - Physica Medica, 2015 - Elsevier
Understanding the fundamental mechanisms involved in the induction of biological damage
by ionizing radiation remains a major challenge of today's radiobiology research. The Monte …
by ionizing radiation remains a major challenge of today's radiobiology research. The Monte …
Genome structure and gene content in protist mitochondrial DNAs
…, M Turmel, N Brossard, E Delage… - Nucleic acids …, 1998 - academic.oup.com
… e Sequence starts at the DNA replication initiation loop, which contains a tandem array of
11 34 bp A+T-rich repeat units. Termination sequence at the other end of the linear DNA (…
11 34 bp A+T-rich repeat units. Termination sequence at the other end of the linear DNA (…
The LHCb detector at the LHC
…, E Conte, R Cornat, M Crouau, E Delage… - Journal of …, 2008 - iopscience.iop.org
The LHCb experiment is dedicated to precision measurements of CP violation and rare
decays of B hadrons at the Large Hadron Collider (LHC) at CERN (Geneva). The initial …
decays of B hadrons at the Large Hadron Collider (LHC) at CERN (Geneva). The initial …
[PDF][PDF] The LHCb detector at the LHC
…, E Conte, R Cornat, M Crouau, E Delage… - Journal of …, 2008 - Citeseer
LHCb is the experiment dedicated to b physics at the LHC [1],[2]. The aim is the high precision
study of CP violation and rare decays. The experiment will extend the B-physics results …
study of CP violation and rare decays. The experiment will extend the B-physics results …
A survey of contextual optimization methods for decision-making under uncertainty
Recently there has been a surge of interest in operations research (OR) and the machine
learning (ML) community in combining prediction algorithms and optimization techniques to …
learning (ML) community in combining prediction algorithms and optimization techniques to …
Distributionally robust optimization under moment uncertainty with application to data-driven problems
Stochastic programming can effectively describe many decision-making problems in uncertain
environments. Unfortunately, such programs are often computationally demanding to …
environments. Unfortunately, such programs are often computationally demanding to …
Cryptic and abundant marine viruses at the evolutionary origins of Earth's RNA virome
Whereas DNA viruses are known to be abundant, diverse, and commonly key ecosystem
players, RNA viruses are insufficiently studied outside disease settings. In this study, we …
players, RNA viruses are insufficiently studied outside disease settings. In this study, we …
A dynamic bayesian network model for autonomous 3d reconstruction from a single indoor image
When we look at a picture, our prior knowledge about the world allows us to resolve some
of the ambiguities that are inherent to monocular vision, and thereby infer 3d information …
of the ambiguities that are inherent to monocular vision, and thereby infer 3d information …
Percentile optimization for Markov decision processes with parameter uncertainty
… An electronic companion to this paper is available as part of the online version that can be
… An electronic companion to this paper is available as part of the online version that can be …
… An electronic companion to this paper is available as part of the online version that can be …
[HTML][HTML] Correlative cryo-electron microscopy reveals the structure of TNTs in neuronal cells
…, A Pepe, K Gousset, E Delage… - Nature …, 2019 - nature.com
… Yellow dashed rectangles in d are shown at high magnification in e and f, respectively. The
… in e and f to show membrane boundaries. Enlargements of white dashed rectangles in e and …
… in e and f to show membrane boundaries. Enlargements of white dashed rectangles in e and …