39 research outputs found

    International Veterinary Epilepsy Task Force recommendations for systematic sampling and processing of brains from epileptic dogs and cats

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    Traditionally, histological investigations of the epileptic brain are required to identify epileptogenic brain lesions, to evaluate the impact of seizure activity, to search for mechanisms of drug-resistance and to look for comorbidities. For many instances, however, neuropathological studies fail to add substantial data on patients with complete clinical work-up. This may be due to sparse training in epilepsy pathology and or due to lack of neuropathological guidelines for companion animals. The protocols introduced herein shall facilitate systematic sampling and processing of epileptic brains and therefore increase the efficacy, reliability and reproducibility of morphological studies in animals suffering from seizures. Brain dissection protocols of two neuropathological centres with research focus in epilepsy have been optimised with regards to their diagnostic yield and accuracy, their practicability and their feasibility concerning clinical research requirements. The recommended guidelines allow for easy, standardised and ubiquitous collection of brain regions, relevant for seizure generation. Tissues harvested the prescribed way will increase the diagnostic efficacy and provide reliable material for scientific investigations

    Overview of the JET ITER-like wall divertor

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    Power exhaust by SOL and pedestal radiation at ASDEX Upgrade and JET

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    Multi-machine scaling of the main SOL parallel heat flux width in tokamak limiter plasmas

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    ELM divertor peak energy fluence scaling to ITER with data from JET, MAST and ASDEX upgrade

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    Assessment of erosion, deposition and fuel retention in the JET-ILW divertor from ion beam analysis data

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    Progress in understanding disruptions triggered by massive gas injection via 3D non-linear MHD modelling with JOREK

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    3D non-linear MHD simulations of a D 2 massive gas injection (MGI) triggered disruption in JET with the JOREK code provide results which are qualitatively consistent with experimental observations and shed light on the physics at play. In particular, it is observed that the gas destabilizes a large m/n = 2/1 tearing mode, with the island O-point coinciding with the gas deposition region, by enhancing the plasma resistivity via cooling. When the 2/1 island gets so large that its inner side reaches the q = 3/2 surface, a 3/2 tearing mode grows. Simulations suggest that this is due to a steepening of the current profile right inside q = 3/2. Magnetic field stochastization over a large fraction of the minor radius as well as the growth of higher n modes ensue rapidly, leading to the thermal quench (TQ). The role of the 1/1 internal kink mode is discussed. An I p spike at the TQ is obtained in the simulations but with a smaller amplitude than in the experiment. Possible reasons are discussed

    Predictors of embolism and death in left-sided infective endocarditis: the European Society of Cardiology EURObservational Research Programme European Infective Endocarditis registry

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    International audienceBackground and Aims Even though vegetation size in infective endocarditis (IE) has been associated with embolic events (EEs) and mortality risk, it is unclear whether vegetation size associated with these potential outcomes is different in left-sided IE (LSIE). This study aimed to seek assessing the vegetation cut-off size as predictor of EE or 30-day mortality for LSIE and to determine risk predictors of these outcomes. Methods The European Society of Cardiology EURObservational Research Programme European Infective Endocarditis is a prospective, multicentre registry including patients with definite or possible IE throughout 2016–18. Cox multivariable logistic regression analysis was performed to assess variables associated with EE or 30-day mortality. Results There were 2171 patients with LSIE (women 31.5%). Among these affected patients, 459 (21.1%) had a new EE or died in 30 days. The cut-off value of vegetation size for predicting EEs or 30-day mortality was >10 mm [hazard ratio (HR) 1.38, 95% confidence interval (CI) 1.13–1.69, P = .0015]. Other adjusted predictors of risk of EE or death were as follows: EE on admission (HR 1.89, 95% CI 1.54–2.33, P < .0001), history of heart failure (HR 1.53, 95% CI 1.21–1.93, P = .0004), creatinine >2 mg/dL (HR 1.59, 95% CI 1.25–2.03, P = .0002), Staphylococcus aureus (HR 1.36, 95% CI 1.08–1.70, P = .008), congestive heart failure (HR 1.40, 95% CI 1.12–1.75, P = .003), presence of haemorrhagic stroke (HR 4.57, 95% CI 3.08–6.79, P < .0001), alcohol abuse (HR 1.45, 95% CI 1.04–2.03, P = .03), presence of cardiogenic shock (HR 2.07, 95% CI 1.29–3.34, P = .003), and not performing left surgery (HR 1.30 95% CI 1.05–1.61, P = .016) (C-statistic = .68). Conclusions Prognosis after LSIE is determined by multiple factors, including vegetation size
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