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This paper describes a measurement of light-by-light scattering based on Pb+Pb collision data recorded by the ATLAS experiment during Run 2 of the LHC. The study uses 2.2 nb−1 of integrated luminosity collected in 2015 and 2018 at sNN = 5.02 TeV. Light-by-light scattering candidates are selected in events with two photons produced exclusively, each with transverse energy ETγ> 2.5 GeV, pseudorapidi
Galaxies are complex objects, yet the number of independent parameters to describe them remains unknown. We present here a non-parametric method to estimate the intrinsic dimensionality of large data sets. We apply it to wide-band photometric data drawn from the COSMOS2020 catalogue and a comparable mock catalogue from the HORIZON-AGN simulation. Our galaxy catalogues are limited in signal-to-nois
Background AU Self-reported: Pleaseconfirmthatallheadinglevelsarerepresentedcorrectly adherence to the Mediterranean diet has been: modestly inversely associated with incidence of type 2 diabetes (T2D) in cohort studies. There is uncertainty about the validity and magnitude of this association due to subjective reporting of diet. The association has not been evaluated using an objectively measured
Purpose: This paper studies the impact of corporate social responsibility on cost stickiness, as well as showing additional evidence of stickiness among European firms. Methodology: OLS regression and fixed effects model. Theoretical perspectives: The theoretical part of the study describe cost behavior, cost stickiness and corporate social responsibility from a stakeholder perspective. Empiri
Background Estimating attributable mortality of ventilator-associated pneumonia has been hampered by confounding factors, small sample sizes, and the difficulty of doing relevant subgroup analyses. We estimated the attributable mortality using the individual original patient data of published randomised trials of ventilator-associated pneumonia prevention. Methods We identified relevant studies th
NMR relaxation experiments have provided a wealth of information about molecular motions in macromolecules and ordered fluids. Even though a rigorous theory of spin relaxation is available, the complexity of the investigated systems often makes the interpretation of limited datasets challenging and ambiguous. To allow physically meaningful information to be extracted from the data without commitme
Satellite remote sensing has the potential to contribute to plant phenology monitoring at spatial and temporal scales relevant for regional and global scale studies. Historically, temporal composites of satellite data, ranging from 8 days to 16 days, have been used as a starting point for satellite-derived phenology data sets. In this study we assess how the temporal resolution of such composites
Aim: To investigate patterns of somatic inpatient ICD-10 diagnoses in people with intellectual disabilities (ID) 55 years and older in relation to age over an 11-year period, and to compare these patterns with a general population sample. Method: The study was based on Swedish national registers. The ID group (n=7936) comprised people who were aged 55 or above in 2012. They were age- and sexmatche
The chemistry transport model system EURAD-IM and its variational data assimilation implementation are applied to air quality assessment problems. The facility of joint initial value and emission rate optimisation together with a nested 4d-var module is employed to the measurement campaign BERLIOZ. To emphasise the benefits of computationally efficient data assimilation for monitoring and simulati
Protein misfolding and self-assembling into amyloid structures are associated with a number of diseases. Characterization of protein amyloid formation reactions is a challenging task as transient populations of multiple species are involved. Here we outline a method for identification and characterization of the individual soluble states during protein amyloid formation. The method combines NMR tr
Abstract Digital visualization has gone through a revolutionary decade. Compared to other fields where these methods have been applied, archaeology has been, and still is, more resistant to integrating tools and instruments able to describe materials and scenarios with high resolution. This is partly due to the archaeological misconception of high cost of scientific equipment and the complexity in
Remote-sensing-based machine learning approaches for water quality parameters estimation, Secchi Disk Depth (SDD) and Turbidity, were developed for the Valle de Bravo reservoir in central Mexico. This waterbody is a multipurpose reservoir, which provides drinking water to the metropolitan area of Mexico City. To reveal the water quality status of inland waters in the last decade, evaluation of MER
Cost reduction strategies are often invoked as explanations when studies of adaptation fail to find predicted costs. This might seem discouraging, offering little opportunity for further investigation. In this paper, we demonstrate that cost reduction strategies can themselves be investigated by arguments from design. Recent work on inducible morphological defences has shown that hydrodynamical di
The control of the Touch Hand: a low-cost electrically powered prosthetic hand is explored in this paper. A novel Haptic User Interface is proposed and tested as a supplement for amputee-prosthetic EMG control. The performance of the prosthetic hand is tested through gripping tests. The hand is capable of performing a lateral grip of 3.7 N, a power grip of 19.5 N and to passively hold a weight of
We investigated if coarse-resolution satellite data from the MODIS sensor can be used for regional monitoring of insect disturbances in Fennoscandia. A damage detection method based on z-scores of seasonal maximums of the 2-band Enhanced Vegetation Index (EVI2) was developed. Time-series smoothing was applied and Receiver Operating Characteristics graphs were used for optimisation. The method was
