Simulator of the JET real-time disruption predictor

A disruption predictor based on support vector machines (SVM) has been developed to be used in JET. The training process uses thousands of discharges and, therefore, high performance computing has been necessary to obtain the models. To this respect, several models have been generated with data from different JET campaigns. In addition, various kernels (mainly linear and RBF) and parameters have been tested. The main objective of this work has been the implementation of the predictor model under real-time constraints. A “C-code” software application has been developed to simulate the real-time behavior of the predictor. The application reads the signals from the JET database and simulates the real-time data processing, in particular, the specific data hold method to be developed when reading data from the JET ATM real time network. The simulator is fully configurable by means of text files to select models, signal thresholds, sampling rates, etc. Results with data between campaigns C23and C28 will be shown.

Results of the JET real-time disruption predictor in the ITER-like wall campaigns

The impact of disruptions in JET became even more important with the replacement of the previous Carbon Fiber Composite (CFC) wall with a more fragile full metal ITER-like wall (ILW). The development of robust disruption mitigation systems is crucial for JET (and also for ITER). Moreover, a reliable real-time (RT) disruption predictor is a pre-requisite to any mitigation method. The Advance Predictor Of DISruptions (APODIS) has been installed in the JET Real-Time Data Network (RTDN) for the RT recognition of disruptions. The predictor operates with the new ILW but it has been trained only with discharges belonging to campaigns with the CFC wall. 7 realtime signals are used to characterize the plasma status (disruptive or non-disruptive) at regular intervals of 1 ms. After the first 3 JET ILW campaigns (991 discharges), the success rate of the predictor is 98.36% (alarms are triggered in average 426 ms before the disruptions). The false alarm and missed alarm rates are 0.92% and 1.64%.

Implementation of the disruption predictor APODIS in JET Real Time Network using the MARTe framework

Disruptions in tokamaks devices are unavoidable, and they can have a significant impact on machine integrity. So it is very important have mechanisms to predict this phenomenon. Disruption prediction is a very complex task, not only because it is a multi-dimensional problem, but also because in order to be effective, it has to detect well in advance the actual disruptive event, in order to be able to use successful mitigation strategies. With these constraints in mind a real-time disruption predictor has been developed to be used in JET tokamak. The predictor has been designed to run in the Multithreaded Application Real-Time executor (MARTe) framework. The predictor ?Advanced Predictor Of DISruptions? (APODIS) is based on Support Vector Machine (SVM).

La energía disipada en membranas de pericardio sometidas a fatiga uniaxial como predictor de su durabilidad.

El pericardio es un material que se utiliza cuando se hace necesaria la sustitución de los velos de las válvulas cardiacas. En el presente trabajo se evalúa la durabilidad en fatiga de membranas de pericardio de ternera tratadas con glutaraldehído. Con tal propósito, se ensayaron 72 probetas de pericardio en condiciones fisiológicas de humedad y temperatura. Los ensayos se realizaron primero a fatiga hasta un número determinado de ciclos, entre un mínimo de 100 y un máximo de 4000, para luego ensayarse hasta rotura mediante un ensayo uniaxial de tracción simple. Las probetas consideradas control se sometieron a un único ensayo uniaxial de tracción. Se ha comprobado que la energía disipada en los primeros ciclos de las probetas que rompieron prematuramente (antes de finalizar el ciclado) es significativamente mayor que la energía disipada en las probetas que resistieron todos los ciclos de carga y descarga.

La energía disipada en membranas de pericardio sometidas a fatiga uniaxial como predictor de su durabilidad

El pericardio es un material que se utiliza cuando se hace necesaria la sustitución de los velos de las válvulas cardiacas. En el presente trabajo se evalúa la durabilidad en fatiga de membranas de pericardio de ternera tratadas con glutaraldehído. Con tal propósito, se ensayaron 72 probetas de pericardio en condiciones fisiológicas de humedad y temperatura. Los ensayos se realizaron primero a fatiga hasta un número determinado de ciclos, entre un mínimo de 100 y un máximo de 4000, para luego ensayarse hasta rotura mediante un ensayo uniaxial de tracción simple. Las probetas consideradas control se sometieron a un único ensayo uniaxial de tracción. Se ha comprobado que la energía disipada en los primeros ciclos de las probetas que rompieron prematuramente (antes de finalizar el ciclado) es significativamente mayor que la energía disipada en las probetas que resistieron todos los ciclos de carga y descarga.

Baseline serum cholestanol as predictor of recurrent coronary events in subgroup of Scandinavian simvastatin survival study

Objectives: To investigate whether baseline serum cholestanol:cholesterol ratio, which is negatively related to cholesterol synthesis, could predict reduction of coronary events in the Scandinavian simvastatin survival study.

Apolipoprotein E4 allele as a predictor of cholinergic deficits and treatment outcome in Alzheimer disease.

Apolipoprotein E (apoE) is critical in the modulation of cholesterol and phospholipid transport between cells of different types. Human apoE is a polymorphic protein with three common alleles, APO epsilon 2, APO epsilon 3, and APO epsilon 4. ApoE4 is associated with sporadic and late-onset familial Alzheimer disease (AD). Gene dose was shown to have an effect on risk of developing AD, age of onset, accumulation of senile plaques in the brain, and reduction of choline acetyltransferase (ChAT) activity in the hippocampus of AD subjects. To characterize the possible impact of the apoE4 allele on cholinergic markers in AD, we examined the effect of apoE4 allele copy number on pre- and postsynaptic markers of cholinergic activity. ApoE4 allele copy number showed an inverse relationship with residual brain ChAT activity and nicotinic receptor binding sites in both the hippocampal formation and the temporal cortex of AD subjects. AD cases lacking the apoE4 allele showed ChAT activities close or within age-matched normal control values. The effect of the apoE4 allele on cholinomimetic drug responsiveness was assessed next in a group (n = 40) of AD patients who completed a double-blind, 30-week clinical trial of the cholinesterase inhibitor tacrine. Results showed that > 80% of apoE4-negative AD patients showed marked improvement after 30 weeks as measured by the AD assessment scale (ADAS), whereas 60% of apoE4 carriers had ADAS scores that were worse compared to baseline. These results strongly support the concept that apoE4 plays a crucial role in the cholinergic dysfunction associated with AD and may be a prognostic indicator of poor response to therapy with acetylcholinesterase inhibitors in AD patients.

Perfeccionismo socialmente prescrito como predictor del alto rechazo a la escuela

El creciente interés en el estudio del comportamiento de rechazo a la escuela se debe a las consecuencias negativas asociadas a esta problemática. Conocer aquellas variables psicoeducativas que predicen esta conducta resulta de interés para la comunidad científica en la actualidad. El objetivo de esta investigación fue analizar la capacidad predictiva el Perfeccionismo Socialmente Prescrito sobre las altas puntuaciones en rechazo escolar. En este estudio participaron 537 estudiantes españoles entre 8 y 12 años. Los instrumentos utilizados fueron la School Refusal Assessment Scale Revised for Children (SRAS-R-C), para medir los cuatro factores que subyacen al comportamiento de rechazo a la escuela (I. Evitar la Afectividad Negativa; II. Escapar de la Aversión Social o Evaluación; III. Búsqueda de la Atención de otras Personas Significativas; IV. Búsqueda de Refuerzos Tangibles Fuera del Ámbito Escolar), y la Child and Adolescent Perfectionism Scale (CAPS), para evaluar la subescala de Perfeccionismo Socialmente Prescrito. A partir de los resultados obtenidos se confirma que la subescala de perfeccionismo evaluada actúa como un predictor positivo de altas puntuaciones en rechazo escolar para los factores II y III de la SRAS-R-C. Estos resultados deben ser valorados por psicólogos escolares y especialistas al evaluar la problemática del rechazo escolar siendo necesario proponer estrategias de prevención e intervención.

Operator's manual : area predictor, radiological fallout, ABC-M5A2, (NSN 6665-00-106-9595).

"January 1975."

A review and meta-analysis of education as a predictor of job performance : summary version /

"December 1988."

Assessing Temperament as a Predictor of Distress at Anesthesia Induction Using the Children’s Behavior Questionnaire Short Form

Thesis (Master's)--University of Washington, 2016-06

The use of a change in gentamicin clearance as an early predictor of gentamicin-induced nephrotoxicity

A retrospective review was undertaken in 744 patients who were dose-individualized with gentamicin once daily to evaluate a change in gentamicin clearance as a potential predictor of nephrotoxicity. The definition of nephrotoxicity was chosen to be a change in creatinine clearance greater than 20%. Similarly, a change in gentamicin clearance of greater than 20% was also considered a possible index of nephrotoxicity. Four criteria were developed to assess the usefulness of gentamicin clearance as a predictor of nephrotoxicity. Following the application of the inclusion/exclusion criteria, 132 patients were available for the analysis. The sensitivity, specificity, positive predictive value, and negative predictive value were assessed for each of the criteria. Receiver operating characteristic (ROC) curves were produced to determine if an optimum value in the change of gentamicin clearance could be found to maximize sensitivity and specificity. The overall incidence of nephrotoxicity based on a decrease in creatinine clearance by 20% or more was 3.8%. Women were overrepresented in the nephrotoxic group [71.4% versus 40.1% (P = 0.0025)]. Patients with nephrotoxicity had statistically longer treatment periods, increased cumulative dose, and more dosing predictions (P < 0.05 in each case). The sensitivity of the criteria ranged from 43 to 46%, and specificity ranged from 93 to 99%. The positive and negative predictive values ranged from 63 to 94% and 86 to 89%, respectively. In those patients in whom nephrotoxicity was predicted from a change in gentamicin clearance, this change occurred on average 3 days before the change in creatinine clearance (P < 0.05). A change in gentamicin clearance to predict nephrotoxicity may be a useful addition to current monitoring methods, although it is not the complete answer.