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The IgG-degrading enzyme of Streptococcus pyogenes causes rapid clearance of anti-glomerular basement membrane antibodies in patients with refractory anti-glomerular basement membrane disease

In anti-glomerular basement membrane (anti-GBM) disease, IgG class autoantibodies induce rapidly progressive glomerulonephritis. Regrettably, many patients are diagnosed at a late stage when even intensive conventional treatment fails to restore renal function The endopeptidase IdeS (Immunoglobulin G degrading enzyme of Streptococcus pyogenes) (imliflidase) rapidly cleaves all human IgG subclasses

Enhancing the Accuracy of CSI-Based Positioning in Massive MIMO Systems

Massive Multiple-Input Multiple-Output (MIMO) communication systems are being investigated intensively for positioning services. Enhancing the accuracy on these services in terms of accurate positioning of users is an important goal to improve related applications in the future. Convolutional Neural Networks (CNNs) has been proposed to infer the position of a user from Channel State Information (C

Homozygosity for the IgG2 subclass allotype G2M(n) protects against severe infection in hereditary C2 deficiency

Homozygous C2 deficiency (C2D) is the most common deficiency of the classical complement pathway in Western countries. It is mostly found in patients with autoimmune disease or susceptibility to bacterial infections and in healthy persons. We wished to assess to what extent other immunological factors might explain differences of susceptibility to infections in C2D. For this reason, 44 Swedish pat

The derivation of first- and second-order backpropagation methods for fully-connected and convolutional neural networks

We introduce rigorous theory for deriving first and second order backpropagation methods for Deep Neural Networks (DNN) whilst satisfying existing theory in DNN optimization. We begin by formally defining a neural network with its respective components and state the first and second order chain rule with respect to its partial derivatives. The partial derivatives in the chain rule formula are rela

Arsine, Stibine and Phosphine Derivatives of [Fe2(CO)6(μ-bdt)] (bdt = Benzenedithiolate) : Syntheses, Structures and Spectroscopic and Electrocatalytic Studies

The reactivity of the benzenedithiolate (bdt)-bridged complex [Fe2(CO)6(µ-bdt)] with arsine, stibine and phosphine ligands has been studied. The new mono- and disubstituted complexes [Fe2(CO)5(EPh3)(µ-bdt)] (E = As, 1; E = Sb 3) and [Fe2(CO)4(EPh3)2(µ-bdt)] (E = As, 2; E = Sb, 4) and the previously reported [Fe2(CO)4(PPh2H)2(µ-bdt)] (5) have been prepared by Me3NO-initiated carbonyl substitution r

Rehabilitering är mycket mer än bara träning – Vetenskap och Hälsa

Rehabilitering är mycket mer än bara träning – Vetenskap och Hälsa Vetenskap och hälsa Populärvetenskapligt om medicinsk forskning i Skåne Teman Podd Tidskrift Prenumerera Om webbplatsen Kontakt Sök Sök Rehabilitering är mycket mer än bara träning 2015-02-02 ⚠️ Den här artikeln är mer än 5 år gammal. Nya forskningsrön kan ha tillkommit. Många har fortfarande inställningen att rehabilitering är det

https://www.vetenskaphalsa.se/rehabilitering-ar-mycket-mer-an-bara-traning/ - 2026-05-12