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Amyloid proteins are species whose aggregation has been associated with various neurodegenerative diseases. While intrinsically disordered in their monomeric form, they tend to aggregate into highly ordered β-sheet rich fibrils. Nevertheless, many studies indicate that intermediate species known as amyloid oligomers, which are linked to neurotoxicity, may be the connection between amyloid proteins
Xanthoria ectaneoides, usually recognised by its secondary sublobules, is circumscribed in a strict sense using spore size and a molecular phylogeny based on ITS-sequences. The spe- cies, earlier considered a synonym of X. aureola, forms a subclade with X. coomae and the new species X. pylyporlykii, described here, whereas X. aureola is positioned in the Xanthoria calcicola subclade. The new speci
Recognizing individual differences is essential for creating inclusive and effective educational settings that support all children's learning and school success and that are considerate of their varying needs. The primary aim of this work was to help uncover some of the influencing factors and underlying dynamics that affect children’s individual educational attainment. Through brain imaging and
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.
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
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
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
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
