538 research outputs found
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Introduction to the dossier: Brazilian cinema in the neoliberal age (O cinema brasileiro na era neoliberal)
Introdução ao dossiê
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Development and Utility of Quality Metrics for Ambulatory Pediatric Cardiology in Kawasaki Disease.
The Adult Congenital and Pediatric Cardiology (ACPC) Section of the American College of Cardiology sought to develop quality indicators/metrics for ambulatory pediatric cardiology practice. The objective of this study was to report the creation of metrics for patients with Kawasaki disease. Over a period of 5 months, 12 pediatric cardiologists developed 24 quality metrics based on the most relevant statements, guidelines, and research studies pertaining to Kawasaki disease. Of the 24 metrics, the 8 metrics deemed the most important, feasible, and valid were sent on to the ACPC for consideration. Seven of the 8 metrics were approved using the RAND method by an expert panel. All 7 metrics approved by the ACPC council were accepted by ACPC membership after an "open comments" process. They have been disseminated to the pediatric cardiology community for implementation by the ACPC Quality Network
Statistical Properties of Turbulence: An Overview
We present an introductory overview of several challenging problems in the
statistical characterisation of turbulence. We provide examples from fluid
turbulence in three and two dimensions, from the turbulent advection of passive
scalars, turbulence in the one-dimensional Burgers equation, and fluid
turbulence in the presence of polymer additives.Comment: 34 pages, 31 figure
Utilizing indicator functions with computational data to confirm nature of overlap in normal turbulent stresses: Logarithmic or quarter-power
[EN] Indicator functions of the streamwise normal-stress profiles (NSP), based on careful differentiation of some of the best direct numerical simulations (DNS) data from channel and pipe flows, over the range 550 < Re-tau < 16 000, are examined to establish the existence and range in wall distances of either a logarithmic-trend segment or a 1/4-power region. For nine out of 15 cases of DNS data we examined where Re-tau < 2000, the NSP did not contain either of the proposed trends. As Re-tau exceeds around 2000 a 1/4-power, reflecting the "bounded-dissipation" predictions of Chen and Sreenivasan ["Law of bounded dissipation and its consequences in turbulent wall flows," J. Fluid Mech. 933, A20 (2022); "Reynolds number asymptotics of wall-turbulence fluctuations," J. Fluid Mech. 976, A21 (2023)] and data analysis of Monkewitz ["Reynolds number scaling and inner-outer overlap of stream-wise Reynoldss stress in wall turbulence," arXiv:2307.00612 (2023)], develops near y(+) = 1000 and expands with Reynolds numbers extending to 1000 < y(+) < 10 000 for Re-tau around 15 000. This range of 1/4-power NSP corresponds to a range of outer-scaled Y between around 0.3 and 0.7. The computational database examined did not include the zero-pressure-gradient boundary layer experiments at higher Reynolds numbers where the logarithmic trend in the NSP has been previously reported around y(+) of 1000 by Marusic et al. ["Attached eddy model of wall turbulence," Annu. Rev. Fluid Mech. 51, 49-74 (2019); "The logarithmic variance of streamwise velocity and conundrum in wall turbulence," J. Fluid Mech. 933, A8 (2022)] according to a "wall-scaled eddy model." (c) 2024 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).SH was funded by project No. PID2021-128676OB-I00 by MCIN/AEI/10.13039/501100011033 and by "ERDF A way of making Europe," by the European Union (SH). RV acknowledges the financial support from ERC Grant No. 2021-CoG-101043998, DEEPCONTROL.Nagib, H.; Vinuesa, R.; Hoyas, S. (2024). Utilizing indicator functions with computational data to confirm nature of overlap in normal turbulent stresses: Logarithmic or quarter-power. Physics of Fluids. 36(7). https://doi.org/10.1063/5.021903136
Obtaining accurate mean velocity measurements in high Reynolds number turbulent boundary layers using Pitot tubes
This article reports on one component of a larger study on measurement of the zero-pressure-gradient turbulent flat plate boundary layer, in which a detailed investigation was conducted of the suite of corrections required for mean velocity measurements performed using Pitot tubes. In particular, the corrections for velocity shear across the tube and for blockage effects which occur when the tube is in close proximity to the wall were investigated using measurements from Pitot tubes of five different diameters, in two different facilities, and at five different Reynolds numbers ranging from Re_θ = 11 100 to 67 000. Only small differences were found amongst commonly used corrections for velocity shear, but improvements were found for existing near-wall proximity corrections. Corrections for the nonlinear averaging of the velocity fluctuations were also investigated, and the results compared to hot-wire data taken as part of the same measurement campaign. The streamwise turbulence-intensity correction was found to be of comparable magnitude to that of the shear correction, and found to bring the hot-wire and Pitot results into closer agreement when applied to the data, along with the other corrections discussed and refined here
Sensitivity study of resolution and convergence requirements for the extended overlap region in wall-bounded turbulence
[EN] Direct numerical simulations (DNSs) are among the most powerful tools for studying turbulent flows. Even though the achievable Reynolds numbers are lower than those obtained through experimental means, DNS offers a clear advantage: The entire velocity field is known, allowing for the evaluation of any desired quantity. This capability includes the computation of derivatives of all relevant terms. One such derivative provides the indicator function, which is the product of the wall distance and the wall-normal derivative of the mean streamwise velocity. This derivative may depend on mesh spacing and distribution, but it is extremely affected by the convergence of the simulation. The indicator function is crucial for understanding inner and outer interactions in wall-bounded flows and describing the overlap region between them. We find a clear dependence of this indicator function on the mesh distributions we examine, raising questions about classical mesh and convergence requirements for DNS and achievable accuracy. Within the framework of the logarithmic plus linear overlap region, coupled with a parametric study of channel flows and some pipe flows, sensitivities of extracted overlap parameters are examined. This study reveals a path to establishing their high-Rey y or nearly asymptotic values at modest Reynolds numbers, but larger than the ones used in this work, accessible by high-quality DNS with reasonable cost.Computer time was provided by King Abdullah University of Science and Technology, Project No. K1652. R.V. was supported by ERC Grant No. 2021-CoG-101043998, DEEPCONTROL. The views and opinions expressed are however those of the author (s) only and do not necessarily reflect those of European Union or European Research Council. S.H. was funded by Project No. PID2021-128676OB-I00 from Ministerio de Ciencia, Innovacion y Universidades/FEDER.Hoyas, S.; Vinuesa, R.; Schmid, P.; Nagib, H. (2024). Sensitivity study of resolution and convergence requirements for the extended overlap region in wall-bounded turbulence. Physical Review Fluids. 9(8). https://doi.org/10.1103/PhysRevFluids.9.L0826019
How Does Forecasting Affect the Convergence of DRL Techniques in O-RAN Slicing?
The success of immersive applications such as virtual reality (VR) gaming and
metaverse services depends on low latency and reliable connectivity. To provide
seamless user experiences, the open radio access network (O-RAN) architecture
and 6G networks are expected to play a crucial role. RAN slicing, a critical
component of the O-RAN paradigm, enables network resources to be allocated
based on the needs of immersive services, creating multiple virtual networks on
a single physical infrastructure. In the O-RAN literature, deep reinforcement
learning (DRL) algorithms are commonly used to optimize resource allocation.
However, the practical adoption of DRL in live deployments has been sluggish.
This is primarily due to the slow convergence and performance instabilities
suffered by the DRL agents both upon initial deployment and when there are
significant changes in network conditions. In this paper, we investigate the
impact of time series forecasting of traffic demands on the convergence of the
DRL-based slicing agents. For that, we conduct an exhaustive experiment that
supports multiple services including real VR gaming traffic. We then propose a
novel forecasting-aided DRL approach and its respective O-RAN practical
deployment workflow to enhance DRL convergence. Our approach shows up to 22.8%,
86.3%, and 300% improvements in the average initial reward value, convergence
rate, and number of converged scenarios respectively, enhancing the
generalizability of the DRL agents compared with the implemented baselines. The
results also indicate that our approach is robust against forecasting errors
and that forecasting models do not have to be ideal.Comment: This article has been accepted for presentation in IEEE GLOBECOM 202
Scaling in Wall Turbulence: Scale Separation and Interaction (Invited Paper)
High Reynolds number pipe flow data are used to demonstrate the importance of several conditions related to scale separation that are either assumed in the classical theories
or may be used in light of recent results in wall turbulence to infer a minimum Reynolds number condition above which scaling results may be suitable for extrapolation. Results from the Princeton Superpipe have suggested Re_τ > 5000 as the minimum Reynolds number
for which key properties of pipe flow reach a “fully-developed” condition, based on observations of streamwise mean and turbulent velocity structure. Additional values related to finer constraints on the structural development are also discussed. A “skeleton” of wall turbulence is introduced, based on structural components identified as having a dominant role in the dynamics of near-wall turbulence in recent experiments by a variety of authors.
Possible interaction mechanisms between these components are described alongside some outstanding questions concerning scale separation and interaction
A practical and catalyst-free trifluoroethylation reaction of amines using trifluoroacetic acid
Amines are a fundamentally important class of biologically active compounds and the ability to manipulate their physicochemical properties through the introduction of fluorine is of paramount importance in medicinal chemistry. Current synthesis methods for the construction of fluorinated amines rely on air and moisture sensitive reagents that require special handling or harsh reductants that limit functionality. Here we report practical, catalyst-free, reductive trifluoroethylation reactions of free amines exhibiting remarkable functional group tolerance. The reactions proceed in conventional glassware without rigorous exclusion of either moisture or oxygen, and use trifluoroacetic acid as a stable and inexpensive fluorine source. The new methods provide access to a wide range of medicinally-relevant functionalized tertiary beta-fluoroalkylamine cores, either through direct trifluoroethylation of secondary amines or via a three-component coupling of primary amines, aldehydes and trifluoroacetic acid. A reduction of in situ-generated silyl ester species is proposed to account for the reductive selectivity observed
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