Study of beta-delayed 3-body and 5-body breakup channels observed in the decay of ^11Li

The beta-delayed charged particle emission from ^11Li has been studied with emphasis on the three-body n+alpha+^6He and five-body 2alpha+3n channels from the 10.59 and 18.15 MeV states in ^11Be. Monte Carlo simulations using an R-matrix formalism lead to the conclusion that the ^AHe resonance states play a significant role in the break-up of these states. The results exclude an earlier assumption of a phase-space description of the break-up process of the 18.15 MeV state. Evidence for extra sequential decay paths is found for both states.Comment: 16 pages, 9 figures. Submitted to Nuclear Physics

Selective retention of herpes simplex virus-specific T cells in latently infected human trigeminal ganglia

Primary infection with herpes simplex virus 1 (HSV-1) and varicella zoster virus (VZV) results in lifelong latent infections of neurons in sensory ganglia such as the trigeminal ganglia (TG). It has been postulated that T cells retained in TG inhibit reactivation of latent virus. The acquisition of TG specimens of individuals within hours after death offered the unique opportunity to characterize the phenotype and specificity of TG-resident T cells in humans. High numbers of activated CD8+T cells expressing a late effector memory phenotype were found to reside in latently infected TG. The T cell infiltrate was oligoclonal, and T cells selectively clustered around HSV-1 but not VZV latently infected neurons. Neuronal damage was not observed despite granzyme B expression by the neuron-interacting CD8+T cells. The TG-resident T cells, mainly CD8+T cells, were directed against HSV-1 and not to VZV, despite neuronal expression of VZV proteins. The results implicate that herpesvirus latency in human TG is associated with a local, persistent T cell response, comprising activated late effector memory CD8+T cells that appear to control HSV-1 latency by noncytolytic pathways. In contrast, T cells do not seem to be directly involved in controlling VZV latency in human TG

Video health monitoring for cardiac arrhythmia detection in a real hospital scenario

Remote Photoplethysmography (remote PPG) enables contactless monitoring of the cardiac rhythm using video cameras. Prior research has shown the feasibility of video-based atrial fibrillation (AF) and/or flutter (Aflutter) detection in some scenarios, but most exclude patient movement. In this work, we investigate the feasibility of detecting these two cardiac arrhythmias in a regular hospital environment using an RGB camera, where patients were not limited in movement during the recording process. Data of 56 patients was collected before and after a scheduled cardioversion treatment. Using the data and machine learning models, we developed three models: First, a model to detect only AF from the data excluding any Aflutter cases. Here we report a sensitivity of 94.5% and a specificity of 89.3% with an AUC of 0.966. Second, a model to classify if a cardiac arrhythmia (AF or Aflutter) is present or not. There we report there a sensitivity of 95.6% and a specificity of 91.2% with an AUC of 0.975. Finally, we develop a multi rhythm model, where we classify the data in AF, Aflutter and sinus rhythm separately. The performance of arrhythmia detection is close to the second model, but we note that the distinction between AF and Aflutter is still a challenge. Here we theorize that remote PPG is more sensitive to noise during Aflutter, which will lead to features in Aflutter which are closer to those of AF. To confirm this, we will extensively review the reason of misclassification of Aflutter as AF in future work