4 research outputs found
Properties of latent interface-trap buildup in irradiated metal-oxide-semiconductor transistors determined by switched bias isothermal annealing experiments
Isothermal annealing experiments with switched gate bias have been performed to determine the properties of the latent interface-trap buildup during postirradiation annealing of metal-oxide-semiconductor transistors. It has been found that a bias-independent process occurs until the start of the latent interface-trap buildup. During the buildup itself, oxide-trap charge is not permanently neutralized, but is temporarily compensated. (C) 2000 American Institute of Physics. (DOI: 10.1063/1.1336159
The sensitivity of 100 nm RADFETs with zero gate bias up to dose of 230 Gy(Si)
The RADFETs (pMOS dosimeters) were irradiated by ionizing radiation from Co-60 gamma-ray source to dose of 230 Gy(Si) without gate bias, and their reproducibility and sensitivity to radiation were investigated. The completely automatic system containing switching matrix have been used, enabling very reliable measurements of RADFET electrical characteristics. Two sample types from each RADFET chip, with the same gate oxide thickness, but different geometry (channel width and length), were investigated. The samples have shown good reproducibility of the threshold voltage shift during irradiation, i.e., the radiation sensitivity was similar for all samples. Using MG and CP techniques, it has been shown that the slow switching (border) trap density is negligible, but the fixed trap density saturates and the fast switching trap density is linear. (C) 2011 Elsevier B.V. All rights reserved
Predictors of embolism and death in left-sided infective endocarditis: the European Society of Cardiology EURObservational Research Programme European Infective Endocarditis registry
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