Introduction: Access to healthcare is a critical determinant of health and central to Swedish public health policy. Sweden, like many other countries has seen a rise in precarious employment and there has been substantial research into the negative health effects associated with it. In accordance with vertical equality in health care, people exposed to precarious employment should consequently hav

Caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), coronavirus disease 2019 (COVID-19) primarily manifests as respiratory dysfunction. However, emerging evidence suggests SARS-CoV-2 can invade the brain, leading to cognitive impairment (CI). It may spread to other brain regions through transsynaptic neurons, including the olfactory, optic, and vagus nerves. Moreover, it may in

ObjectiveTo provide the most up-to-date data on the burden of malignant mesothelioma (MM) and the projections through 2029 in China.MethodsData on patients diagnosed with MM from China during 1990-2019 were obtained from the Global Burden of Disease (GBD) 2019 database, including annual cases and deaths data and age-standardized rates of incidence, mortality, and disability-adjusted life-years (DA

Due to their natural and inherent way of capturing concurrency, dataflow descriptions of stream programs have seen prevalent usage in fields such as video processing, networks and scientific computing. They are often deployed on manycore, heterogeneous and distributed architectures. Despite robust research on the topic, obstacles still exist in evaluating the performance of stream programs accurat

This study develops a deep learning method for fast auditory attention decoding (AAD) using electroencephalography (EEG) from listeners with hearing impairment. It addresses three classification tasks: differentiating noise from speech-in-noise, classifying the direction of attended speech (left vs. right) and identifying the activation status of hearing aid noise reduction (NR) algorithms (OFF vs

PURPOSE: Several studies have indicated that broad genomic characterization of childhood cancer provides diagnostically and/or therapeutically relevant information in selected high-risk cases. However, the extent to which such characterization offers clinically actionable data in a prospective broadly inclusive setting remains largely unexplored.METHODS: We implemented prospective whole-genome seq

We provide a variant of Geršgorin's circle theorem, where the -estimates are swapped for -estimates, more suitable for the infinite-dimensional Hilbert space setting.

This commentary highlights two cross-cultural issues identified from our global mental health (GMH) research, RECOLLECT (Recovery Colleges Characterisation and Testing) 2: self-enhancement and ingroup biases. Self-enhancement is a tendency to maintain and express unrealistically positive self-views. Ingroup biases are differences in one’s evaluation of others belonging to the same social group. Th

INTRODUCTION: Maternal-neonatal healthcare services were severely disrupted during the COVID-19 pandemic in even high-income countries within the World Health Organization (WHO) European Region. The objective of this study was to compare trends in the quality of maternal and neonatal care (QMNC) in Sweden and Norway to 12 other countries from the WHO European Region during the COVID-19 pandemic, a

We investigate the use of atmospheric oxygen (O2) and carbon dioxide (CO2) measurements for the estimation of the fossil fuel component of atmospheric CO2 in the UK. Atmospheric potential oxygen (APO) - a tracer that combines O2 and CO2, minimizing the influence of terrestrial biosphere fluxes - is simulated at three sites in the UK, two of which make APO measurements. We present a set of model ex

Preconcentration of methane (CH4) from air is a critical sampling step in the measurement of singly and doubly substituted isotopologue ratios. We demonstrate the potential for isotope fractionation during preconcentration onto and elution from the common trapping material HayeSep-D and investigate its significance in laser spectroscopy measurements. By altering the trapping temperature for adsorp

We use the GEOS-Chem global 3-D model and two inverse methods (the maximum a posteriori and ensemble Kalman filter) to infer regional methane (CH4) emissions and the corresponding stable-carbon-isotope source signatures from 2004-2020 across the globe using in situ and satellite remote sensing data. We use the Siegel estimator to determine linear trends from the in situ data. Over our 17-year stud

We have employed a new approach to quantify the amount fraction of nitrous oxide in a synthetic air matrix gas used to prepare high-accuracy reference materials of the same component. Until now, this was the largest contributor to the measurement uncertainty of nitrous oxide in air reference materials at atmospheric amount fractions (∼330 nmol mol-1), as identified in a recent international compar

We present a method for estimating fossil fuel methane emissions using observations of methane and ethane, accounting for uncertainty in their emission ratio. The ethane:methane emission ratio is incorporated as a spatially and temporally variable parameter in a Bayesian model, with its own prior distribution and uncertainty. We find that using an emission ratio distribution mitigates bias from us