Introduction: Anti–glomerular basement membrane (GBM) disease is caused by pathogenic antibodies usually targeting the noncollagenous domain of the α3 chain of type IV collagen and frequently presents as rapidly progressive glomerulonephritis and diffuse alveolar hemorrhage (DAH). Rapid reduction of these antibodies is imperative for kidney survival and the mainstay of therapy is the combination o

Nils Månsson Mandelgren och kampen för kulturens framtid är en antologi med syftet att ge nya perspektiv på Mandelgrens omfattande livsverk. Hittills har forskningen frmäst haft fokus på hans dokumentation av äldre kulturyttringar, men hans stridbarhet och oräddhet i att utmana etablissemanget hade sikte på hur samtidens och framtidens kulturinstitutioner borde utformas och organiseras. I boken di

Techniques based on intense photon beams from synchrotrons present unique opportunities for characterizing semiconductor materials, devices and processes. This is based on the unrivaled brightness in a broad wavelength range from infrared to hard X-rays. Synchrotron based methods can answer wide ranging questions in research and technology, and have seen an increase in use over many years as more

Telematics units are widely spreading in the automotive industry. Getting realtime data from the systems is essential for creating services in the back office which builds value for both companies and end customers. The services created greatly impact maintenance strategies, future developments, and keeping the vehicle more sustainable and secure for both end users and customers. However, adding n

Falls are one of the leading causes of injury and death among the elderly, creating a growing need for efficient and privacy-preserving fall detection systems. Traditional machine learning approaches for fall detection often rely on centralized data collection, where sensitive user data is collected and stored on a central server. This poses significant privacy risks, especially in the healthcare

This paper introduces an innovative framework that enhances digital twins with deep reinforcement learning (DRL) to support maintenance in manufacturing systems. Utilizing a sophisticated artificial intelligence (AI) layer, this framework integrates real-time and historical production data from a physical manufacturing system to a digital twin, enabling dynamic simulation and analysis. Maintenance

Background The risk of perinatal death and severe neonatal morbidity increases : gradually after 41 weeks of pregnancy. We evaluated maternal and perinatal outcomes after a national shift from expectancy and induction at 42+0 weeks to a more active management of late-term pregnancies in Sweden offering induction from 41+0 weeks or an individual plan aiming at birth or active labour no later than 4

Polycrystalline cubic boron nitride (PcBN) is renowned for its exceptional hardness and thermal stability, making it ideal for extreme machining conditions. Coatings on PcBN tools further enhance performance by extending tool life and improving cutting efficiency. While uncoated PcBN tools already excel in harsh environments, coatings primarily boost durability. Although extensively studied in tur

The poplar moth, Leucoptera sinuella (Lepidoptera: Lyonetiidae), is widely distributed across Europe, Asia, and parts of Africa. It was first identified in Chile in 2015 and has since become a significant pest in the agricultural sector. Additionally, economic losses are further aggravated by the presence of L. sinuella pupae in nearby fruit orchards. This study investigated the presence of a male

In this article I discuss whether viewing safety as a necessary condition for knowing entails that the truth-conditions for knowledge is context-sensitive. I argue that, while it is far from clear-cut, there is at least not a strict entailment between the positing of safety as necessary for knowledge and the context-sensitivity of knowledge, and so, that one can remain an invariantist about knowleIn this article I discuss whether viewing safety as a necessary condition for knowing entails that the truth-conditions for knowledge is context-sensitive. I argue that, while it is far from clear-cut, there is at least not a strict entailment between the positing of safety as necessary for knowledge and the context-sensitivity of knowledge, and so, that one can remain an invariantist about knowle