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An experimental study of the flow around a circular cylinder: Influence of aspect ratio

The investigation is concentrated on two important quantities – the Strouhal number and the mean base suction coefficient, both measured at the mid-span position. Reynolds numbers from about 50 to 4 × 104 were investigated. Different aspect ratios, at low blockage ratios, were achieved by varying the distance between circular end plates (end plate diameter ratios between 10 and 30). It was not pos

One-dimensional equivalence ratio measurements by femtosecond laser filament-triggered discharge plasma spectroscopy

Equivalence ratio measurements are of great importance for combustion systems. In this paper, femtosecond laser filament-triggered discharge plasma spectroscopy is proposed for one-dimensional equivalence ratio measurements of combustion flow fields. The optical emission spectra of femtosecond laser filament-triggered discharge plasma in methane-air premixed laminar flames were measured. The spect

Infertility, pregnancy loss and assisted reproduction in women with asthma : a population-based cohort study

STUDY QUESTION: Is the chance of childbirth, and risk of infertility, pregnancy loss and need for assisted reproduction different for women with asthma compared to women without asthma?SUMMARY ANSWER: Women with asthma had comparable chances of giving birth compared to the reference population, however, their risk of both infertility and pregnancy loss, as well their need for medically assisted re

LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso

While Weighted Lasso sparse regression has appealing statistical guarantees that would entail a major real-world impact in finance, genomics, and brain imaging applications, it is typically scarcely adopted due to its complex high-dimensional space composed by thousands of hyperparameters. On the other hand, the latest progress with high-dimensional hyperparameter optimization (HD-HPO) methods for

Flow around rectangular cylinders: pressure forces and wake frequencies

This paper concerns an experimental investigation of the flow around and pressure forces on fixed (non-vibrating) rectangular cylinders at angles of attack 0° - 90°. Pressure forces and moments for cylinders with side ratios B / A = 1, 1.62, 2.5 and 3 (shortest side A = 20 ram) were estimated from measurements of static pressure distributions at mid-span. Wake frequencies and associated Strouhal n

Numerical simulation of unsteady low-Reynolds number flow around rectangular cylinders

Calculations of unsteady two-dimensional-flow around rectangular cylinders at incidence are presented. The Reynolds numbers are low ( ⩽ 200), so that the flow presumably is laminar. The results are in reasonable agreement with the indeed scarce experimental data available at these low Reynolds numbers. An incompressible SIMPLEC code is used employing non-staggered grid arrangement. A third-order Q

Large eddy simulation of flow past a square cylinder: Comparison of different subgrid scale models

Large eddy simulation of flow past a rigid prism of a square cross section with one side facing the oncoming flow at Re=2.2×104 is performed. An incompressible code is used employing an implicit fractional step method finite volume with second-order accuracy in space and time. Three different subgrid scale models: the Smagorinsky, the standard dynamic, and a dynamic one-equation model, are applied

Arlie Russell Hochschild: Känsloregler och emotionsarbete i kommersialiserade relationer.

Vad ska en surrogatmamma känna inför fostret hon bär i sin mage? Hur ska en hårt arbetande förälder förhålla sig till faktumet att nannyn eller kalasfixaren vet bäst hur deras barn vill ha sitt kalas? Kan en flygvärdinna eller en socialarbetare visa den irritation hon känner inför en otrevlig kund eller klient? Vilka känslor är legitima att visa upp i olika situationer och vilka behöver tryckas ne

Removal of organic micropollutants from municipal wastewater by aerobic granular sludge and conventional activated sludge

Removal performances of organic micropollutants by conventional activated sludge (CAS) and aerobic granular sludge (AGS) were investigated at a full-scale wastewater treatment plant. Lab-scale kinetic experiments were performed to assess the micropollutant transformation rates under oxic and anoxic conditions. Transformation rates were used to model the micropollutant removal in the full-scale pro

The Power of Vulnerability : A Case Study of Direct Action within the Swedish Extra-Parliamentary Left

This article, based on a case study of direct action within the Swedish extra-parliamentary left, offers an investigation of political resistance as an embodied activity heavily associated with bodily vulnerability. In doing so, the article challenges the description of the extra-parliamentary left as a ‘violent extremist environment,’ offered by Swedish state authorities. The case study draws upo

Commutators in the two scalar and matrix weighted setting

In this paper, we approach the two weighted boundedness of commutators via matrix weights. This approach provides both a sufficient and a necessary condition for the two weighted boundedness of commutators with an arbitrary linear operator in terms of one matrix weighted norm inequalities for this operator. Furthermore, using this approach, we surprisingly provide conditions that almost characteri

Thermal management performance improvement of phase change material for autonomous underwater vehicles' battery module by optimizing fin design based on quantitative evaluation method

Efficient thermal management of lithium battery modules has become a thorny problem in the development of autonomous underwater vehicles (AUVs), especially under high current discharge. In this article, the fin/phase change material (PCM) composite structure was proposed for AUV's battery thermal management with consideration of natural convection. The temperature behavior of the battery and the m

The effect of citalopram treatment on amyloid-β precursor protein processing and oxidative stress in human hNSC-derived neurons

Selective Serotonin Reuptake Inhibitors (SSRIs) may hold therapeutic benefits for people with Alzheimer’s disease (AD). SSRIs may perturb AD progression, or the conversion from MCI to AD, via increased neurogenesis, reduced oxidative stress and/or favourable Amyloid-β Precursor Protein (AβPP) processing. This study used iPSC derived cortical neuronal cells carrying 3 different PSEN1 mutations, to

Prevalence and determinants of anemia among resident female university students from Southern Punjab, Pakistan

Health and nutritional status of the women of reproductive age (WRA) is expected to be influenced with women literacy status alongside other sociodemographic indicators. However, data are scant to validate if literate young women have lower incidence of anemia prevalence. Nexus to the problem stated, a cross-sectional study was conducted on 1,541 female resident university students (FRUS) aged 17–

Pyrimethanil and chlorpyrifos air concentrations and pregnant women's urinary metabolites in the Infants’ Environmental Health Study (ISA), Costa Rica

Background: Only few studies have compared environmental pesticide air concentrations with specific urinary metabolites to evaluate pathways of exposure. Therefore, we compared pyrimethanil and chlorpyrifos concentrations in air with urinary 4-hydroxypyrimethanil (OHP, metabolite of pyrimethanil) and 3,5,6-trichloro-2-pyridinol (TCPy, metabolite of chlorpyrifos) among pregnant women from the Infan

Pelvic U-Net : multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network

Background: Delineation of organs at risk (OAR) for anal cancer radiation therapy treatment planning is a manual and time-consuming process. Deep learning-based methods can accelerate and partially automate this task. The aim of this study was to develop and evaluate a deep learning model for automated and improved segmentations of OAR in the pelvic region. Methods: A 3D, deeply supervised U-Net a