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Introduction As care and rehabilitation poststroke are increasingly moving into persons’ home environment, the importance of support from social networks in self-management and rehabilitation has emerged as an important topic for research and practice. While there are instruments used to assess social support and collective efficacy, a clearer scope of the availability and quality of these instrum

The HIBEAM-NNBAR program is a proposed two-stage experiment at the European Spallation Source focusing on searches for baryon number violation processes as well as ultralight dark matter. This paper presents recent advancements in computing and simulation, including machine learning for event selection, fast parametric simulations for detector studies, and detailed modeling of the time projection

Background: High breast density is an independent risk factor for breast cancer and decreases the sensitivity of mammography. This systematic review synthesizes the international clinical guidelines and the evidence base for screening and supplemental screening recommendations in women with dense breasts. Methods: A systematic search of CINHAL, Embase, and Medline databases was performed in August

AbstractObjective: The objective is to provide a detailed protocol for a scoping review aimed at mapping and summarizing studies of word definition (WD) skills in children, in clinical and non-clinical populations. More specifically, the aim is to map which factors have been studied as associated with WD skills. Furthermore, the scoping review will summarize the methodological characteristics of t

Continuous experimentation (CE) is a software development approach where product decisions are data-driven. Large global internet-facing companies such as Microsoft, Google, and Facebook apply the practice by leveraging their massive user bases to obtain high statistical significance in experimentation results. However, companies with smaller user bases, such as small- and medium-sized enterprises

Steadily increasing use of computer-generated models sets high demands on the realistic representation of breast tissue and abnormalities. Previously, we demonstrated the use of Perlin noise to simulate breast lesions. Now, we expand the previous model by simulating heterogeneous lesion composition. We demonstrate a new approach to simulating 3D soft tissue lesions, with additional benefits of Per

Thyroid autoimmunity and the subsequent development of islet and celiac autoimmunity in the TEDDY study Received: November 6, 2025. Accepted: January 8, 2026 Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health 2026. This work is written by (a) US Government employee(s) and is in the public domain in the US. American Journal of Epidemiology, 2026, 0

https://www.teddy.lu.se/sites/teddy.lu.se/files/2026-03/184-Thyroid%20autoimmunity.pdf - 2026-06-01

Background and purpose —The use of a tourniquet in knee replacement surgery is debated. Given the conflicting evidence, we aimed to compare the risk of revision after total knee replacements (TKR) with or without the use of tourniquet. Methods — In this register based observational study, we included the 5 most common cemented primary TKR models due to osteoarthritis reported to the Swedish Arthro

I maj 2022 skickade Sverige och Finland in sina NATO-ansökningar, till följd av Rysslands invasion av Ukraina under februari samma år. I och med NATO-ansökningen övergav både Finland och Sverige decennier av en alliansfri försvarspolitik. Men utöver den alliansfrihet som enat Finland och Sverige i decennier finns det stora skillnader i de säkerhetshot som länderna upplevt och de försvarsstrategier

Background: Four reports, published in the form of pre-prints or peer-reviewed articles, have recently described that spinocerebellar ataxia type 4 (SCA4) is caused by expansion of GGC repeats in exon 10 of ZFHX3 . None of the independent reports have definitely established if longer repeats are associated with earlier disease onset.Methods: We compiled clinical and genetic data from all four publ

The rapid advancement of imaging technologies in pathology has ushered in an era of data-intensive diagnostic workflows, generating large volumes of data that demand sophisticated segmentation and compression techniques. Chemical imaging approaches offer an all-digital objective approach to pathological analysis, though image segmentation is required for efficient computation. Convolutional autoen