Results 101 to 110 of about 505,151 (317)

Coherent averaging

open access: yesAnnalen der Physik, 2015
We investigate in detail a recently introduced “coherent averaging scheme” in terms of its usefulness for achieving Heisenberg limited sensitivity in the measurement of different parameters. In the scheme, N quantum probes in a product state interact with a quantum bus.
Fraïsse, Julien Mathieu Elias   +1 more
openaire   +2 more sources

Dual PI3K/AKT and CDK4/6 inhibition reveals selective sensitivity in an SHH medulloblastoma stem cell model

open access: yesMolecular Oncology, EarlyView.
Targeted therapy was evaluated in SHH medulloblastoma using neuroepithelial stem cell (NES) and tumor‐derived NES‐like (tNES) models in 2D monolayers and 3D spheroids. PI3K, AKT, and CDK4/6 inhibitors had minimal effects in NES but markedly reduced viability and growth and induced apoptosis in tNES cells, revealing distinct therapeutic vulnerabilities.
Monika Lukoseviciute   +4 more
wiley   +1 more source

Pre-averaging based estimation of quadratic variation in the presence of noise and jumps : theory, implementation, and empirical evidence [PDF]

open access: yes, 2010
This paper provides theory as well as empirical results for pre-averaging estimators of the daily quadratic variation of asset prices. We derive jump robust inference for pre-averaging estimators, corresponding feasible central limit theorems and an ...
Hautsch, Nikolaus, Podolskij, Mark
core  

Establishment of a humanized patient‐derived xenograft mouse model of high‐grade serous ovarian cancer for preclinical evaluation of combination immunotherapy

open access: yesMolecular Oncology, EarlyView.
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric   +10 more
wiley   +1 more source

On the effect of prior assumptions in Bayesian model averaging with applications to growth regression [PDF]

open access: yes
This paper examines the problem of variable selection in linear regression models. Bayesian model averaging has become an important tool in empirical settings with large numbers of potential regressors and relatively limited numbers of observations.
Ley, Eduardo, Steel, Mark F. J.
core  

Averaging for fuzzy differential equations [PDF]

open access: yesSurveys in Mathematics and its Applications, 2014
We prove and discuss averaging results for fuzzy differential equations. Our results generalize previous ones.
Mustapha Lakrib   +2 more
doaj  

Deciphering transcriptional plasticity in pancreatic ductal adenocarcinoma reveals alterations in sensory neuron innervation

open access: yesMolecular Oncology, EarlyView.
Pancreatic sensory neurons innervating healthy and PDAC tissue were retrogradely labeled and profiled by single‐cell RNA sequencing. Tumor‐associated innervation showed a dominant neurofilament‐positive subtype, altered mitochondrial gene signatures, and reduced non‐peptidergic neurons.
Elena Genova   +14 more
wiley   +1 more source

Fiscal Decentralisation and Economic Growth: A Bayesian Model Averaging Approach [PDF]

open access: yes
This article re-examines the relationship between fiscal decentralisation and economic growth by employing Bayesian model averaging (BMA). BMA enables the consideration of a range of measures of fiscal decentralisation and allows the incorporation of ...
Andrew Hodge   +2 more
core  

CCDC80 suppresses high‐grade serous ovarian cancer migration via negative regulation of B7‐H3

open access: yesMolecular Oncology, EarlyView.
PAX8 is a lineage‐specific master regulator of transcription in high‐grade serous ovarian cancer (HGSC) progression. We show for the first time that PAX8 facilitates proliferation and metastasis by repressing the cell autonomous tumor suppressor CCDC80 and inducing B7‐H3 expression.
Aya Saleh   +12 more
wiley   +1 more source

Mixtures of g-priors for bayesian model averaging with economic applications [PDF]

open access: yes
We examine the issue of variable selection in linear regression have a potentially large amount of possible covariates and economic theory offers insufficient guidance on how to select the Model Averaging presents uncertainty.
Eduardo Ley, Mark F.J. Steel
core  

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