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In dim light, scarcity of photons typically leads to poor vision. Nonetheless, many animals show visually guided behavior with dim environments. We investigated the signaling properties of photoreceptors of the dark active cockroach (Periplaneta americana) using intracellular and whole-cell patch-clamp recordings to determine whether they show selective functional adaptations to dark. Expectedly,
Bird migration has been assumed, mostly implicitly, to represent a distinct class of animal behavior, with deep and strong homologies in the various phenotypic expressions of migratory behavior between different taxa. Here the evidence for the existence of what could be called a "migratory syndrome," a tightly integrated, old group of adaptive traits that enables birds to commit themselves to high
Recent developments in rotational CARS thermometry and critical issues when comparing vibrational and rotational CARS thermometry are described. In particular, the development of dual broadband rotational CARS and the noise characteristics of this approach are emphasized. The difficulty with unambiguous temperature determination in vibrational CARS with unknown parameters, in particular the nonres
Battery cell assembly and testing in conventional battery research is acknowledged to be heavily time-consuming and often suffers from large cell-to-cell variations. Manual battery cell assembly and electrolyte formulations are prone to introducing errors which confound optimization strategies and upscaling. Herein we present ODACell, an automated electrolyte formulation and battery assembly setup
A drop of systemic blood pressure (BP) occurring shortly after individuals move from supine or seated position to upright posture with subsequent prompt spontaneous resolution is a common physiological occurrence in humans. If the induced hypotension is severe, lightheadedness or postural instability leading to falls and injury may occur. By consensus, a transient systolic BP drop >40 mmHg within
Syftet med uppsatsen är att undersöka vad framgång är i dagens skandinaviska elitfotbollsklubbar och vilka strategier som är användbara för att uppnå denna. Uppsatsen ämnar således belysa och klargöra de viktigaste aspekterna i en lyckad strategi inom en modern skandinavisk fotbollsklubb. Med denna kunskap har vi för avsikt att återge en bild över hur en elitfotbollsklubb strategiskt bör organiser
Enzymes that affect glycoproteins of the human immune system, and thereby modulate defense responses, are abundant among bacterial pathogens. Two endoglycosidases from the human pathogen Streptococcus pyogenes, EndoS and EndoS2, have recently been shown to hydrolyze N-linked glycans of human IgG. However, detailed characterization and comparison of the hydrolyzing activities have not been performe
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
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
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
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
