University of Bordeaux

About: University of Bordeaux is a education organization based out in Bordeaux, France. It is known for research contribution in the topics: Population & Laser. The organization has 28811 authors who have published 55536 publications receiving 1619635 citations. The organization is also known as: UB.

Photonic microwave signals with zeptosecond-level absolute timing noise

Abstract: Ultralow-noise microwave signals are generated at 12 GHz by a low-noise fibre-based frequency comb and cutting-edge photodetection techniques. The microwave signals have a fractional frequency stability below 6.5 × 10–16 at 1 s and a timing noise floor below 41 zs Hz–1/2. Photonic synthesis of radiofrequency (RF) waveforms revived the quest for unrivalled microwave purity because of its ability to convey the benefits of optics to the microwave world1,2,3,4,5,6,7,8,9,10,11. In this work, we perform a high-fidelity transfer of frequency stability between an optical reference and a microwave signal via a low-noise fibre-based frequency comb and cutting-edge photodetection techniques. We demonstrate the generation of the purest microwave signal with a fractional frequency stability below 6.5 × 10−16 at 1 s and a timing noise floor below 41 zs Hz−1/2 (phase noise below −173 dBc Hz−1 for a 12 GHz carrier). This outperforms existing sources and promises a new era for state-of-the-art microwave generation. The characterization is achieved through a heterodyne cross-correlation scheme with the lowermost detection noise. This unprecedented level of purity can impact domains such as radar systems12, telecommunications13 and time–frequency metrology2,14. The measurement methods developed here can benefit the characterization of a broad range of signals.

”Direct” causal cascade in the stock market

Abstract: We use wavelets to decompose the volatility (standard deviation) of intraday (S&P500) return data across scales. We show that when investigating two-point correlation functions of the volatility logarithms across different time scales, one reveals the existence of a causal information cascade from large scales (i.e. small frequencies) to fine scales. We quantify and visualize the information flux across scales. We provide a possible interpretation of our findings in terms of market dynamics.

Circulating IL-6 and CRP are associated with MRI findings in the elderly: The 3C-Dijon Study

Abstract: Objective: The relation between inflammation and brain MRI findings in the elderly remains poorly known. We investigated the association of circulating interleukin-6 (IL-6) and C-reactive protein (CRP) levels with baseline and longitudinal white matter hyperintensities (WMH), silent brain infarction, and brain volumes in community-dwelling elderly free of dementia. Methods: We included 1,841 participants aged 65 to 80 years from the Three City-Dijon cohort. Participants followed an MRI examination at baseline and after a 4-year follow-up (n = 1,316). IL-6 and CRP concentrations were measured at baseline from fasting blood samples. WMH were detected with an automatic imaging processing method and gray matter, hippocampal, white matter, and CSF volumes were estimated with voxel-based morphometry. Silent brain infarctions were assessed visually and defined as focal lesions of ≥3 mm in the absence of stroke. We used analysis of covariance and logistic regression to model the associations between inflammatory biomarkers and brain MRI findings adjusting for potential confounders. Results: In cross-sectional analyses, higher IL-6 levels were associated with higher WMH volumes ( p p = 0.001) and hippocampal ( p = 0.01) volumes, and increasing CSF volumes ( p = 0.002) in a dose-relationship pattern. Similar but weaker relations were observed for CRP. We observed no associations between baseline inflammatory biomarker levels and the evolution of MRI findings over 4 years. Conclusions: IL-6, and, to a lesser degree, CRP levels were associated with WMH severity as well as global markers of brain atrophy. These results suggest that an inflammatory process may be involved in both age-associated brain alterations.