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Roof-Glass Integrated Antenna for Vehicular GNSS Applications

In this paper, a wideband circularly polarized antenna is designed for integration into the glass roof of a modern car for GNSS positioning applications. Characteristic mode analysis is used to obtain more physical insight into the problem and hence satisfy the polarization and bandwidth requirements. The antenna has a low profile and uses a single coplanar waveguide feed to cover all GNSS bands.

A hidden problem in an excluded population: understanding vulnerabilities to and experiences of sexual violence among young migrants in Sweden

Background: International migration has been on the rise over the past few decades and is expected to remain high. Young people make up a significant proportion of those migrating. It has long been known that young people are at greater risk of sexual violence and there is growing evidence that migrants too, are particularly vulnerable. There is a lack of evidence on young migrants’ vulnerability

Effect of ageing on machining performance of grey cast iron and its compensation by cutting speed management

Grey cast iron is known for its poor machinability directly after casting, but attains excellent machining performance after ageing. The present work explores the impact of cutting speed on the performance of pcBN machining for non-aged material. Findings suggest that tool wear can be minimized by identifying an optimal cutting speed that supports the formation of a stable Al2O3 and MnS build-up l

Diffusion Bonding 321-Grade Stainless Steel : Failure and Multimodal Characterization

Vacuum diffusion-bonded printed circuit heat exchangers are an attractive choice for the high-temperature, high-pressure demands of next-generation energy applications. However, early reports show that the high-temperature materials desired for these applications suffer from poor bond strengths due to precipitation at the bond line, preventing grain boundary migration. In this study, a diffusion b

The association of precarious employment to the unmet need for healthcare in Sweden: a prospective cohort study with multiple follow-ups

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

COVID‐19 and cognitive impairment : From evidence to SARS‐CoV‐2 mechanism

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

Burden of malignant mesothelioma in China during 1990-2019 and the projections through 2029

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

Informing Static Mapping and Local Scheduling of Stream Programs with Trace Analysis

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

Deep learning-based auditory attention decoding in listeners with hearing impairment

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

Diagnostic Yield From a Nationwide Implementation of Precision Medicine for all Children With Cancer

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

Cross-cultural insights from two global mental health studies: self-enhancement and ingroup biases

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