564 research outputs found
A study on a position sensitive time of flight detector based on a neural network signal processing
No full textThe capabilities of a position sensitive time of flight scintillator (TOF-PS), viewed by an array of subminiature PMTs and based on a neural network signal processing, are studied. For each PMT, time and charge informations are fed to an artificial neural network to define on-line the event position. The first prototype of this detector consists of two 1.5 cm X 1.5 cm X 100 cm scintillator strips viewed by four directly coupled subminiature PMTs. A TOF time resolution of 166 ps and a spatial resolution of 2 cm (single counter) have been achieved
A study on a position sensitive time of flight detector based on a neural network signal processing
No full textInfluence of abdominal surgery on pulmonary atelectasis formation in dogs
No full textThe aim of this study was to evaluate the influence of abdominal surgery on atelectasis formation in healthy dogs. After the induction of general anesthesia (GA), 20 dogs, scheduled for elective ovariohysterectomy, were positioned in dorsal recumbency: 10 dogs underwent immediate surgery (S group), while 10 dogs (NS group) were maintained under anesthesia for 60 min before surgery. In both groups, a helical computed tomography (CT) scan of the thorax and an arterial blood gas analysis were performed 60 min after the induction of GA. Lung aeration was estimated by analyzing the radiographic attenuation of the CT images. The atelectasic and poorly aerated lung compartments were significantly larger, and the normally aerated lung compartment was smaller in the S group compared to the NS group. The PaO2 was similar in both groups. Abdominal surgery significantly increases pulmonary atelectasis in healthy dogs under GA
Ownership structure and control in incomplete market economies with transferable utility
No full textWe consider an economy with incomplete markets and a single ¯rm and assume that utility can be freely transferred in the form of the ini- tially available good 0 (quasilinearity). In this particularly simple and transparent framework, the objective of a firm can be defined as the max- imization of the total utility of its control group C measured in units of good 0. We analyze how the size and the composition of C influences the rm's market behavior and state conditions under which the firm sells its output at prices which are at, above, or below marginal costs, respectively. We discuss the assumption of competitive price perceptions and point out important differences between the concepts of a Dreze and of a Grossman- Hart equilibrium that occur in spite of the close similarity of the formulas which define them.
A DIRECT MEASUREMENT OF THE ENERGY-SPECTRUM OF COSMIC-RAY MUONS IN THE MONT-BLANC UNDERGROUND LABORATORY
No full textInfluence of Abdominal Surgery on Pulmonary Atelectasis Formation in Dogs
No full textThe aim of this study was to evaluate the influence of abdominal surgery on atelectasis formation in healthy dogs. After the induction of general anesthesia (GA), 20 dogs, scheduled for elective ovariohysterectomy, were positioned in dorsal recumbency: 10 dogs underwent immediate surgery (S group), while 10 dogs (NS group) were maintained under anesthesia for 60 min before surgery. In both groups, a helical computed tomography (CT) scan of the thorax and an arterial blood gas analysis were performed 60 min after the induction of GA. Lung aeration was estimated by analyzing the radiographic attenuation of the CT images. The atelectasic and poorly aerated lung compartments were significantly larger, and the normally aerated lung compartment was smaller in the S group compared to the NS group. The PaO2 was similar in both groups. Abdominal surgery significantly increases pulmonary atelectasis in healthy dogs under GA
Cooperative neural system for particle classification in a cosmic ray space experiment
No full textA modular classification system based on neural networks, for the particle identification task in a physics experiment, is proposed. The system is oriented to prevent systematic classification errors that could occur analysing experimental data with different statistical feature distribution in respect of the expected ones. The system has been investigated in the context of the positron/proton classification problem in a cosmic ray space experiment, where the physics detectors are faced by the critical flight conditions. Finally, the experimental results shows as an adaptive training based on the real data can improve the classification model of the system
Incentive Compatibility and Differentiability New Results and Classic Applications
No full textWe provide several generalizations of Mailath's (1987) result that in games of asymmetric information with a continuum of types incentive compatibility plus separation implies differentiability of the informed agent's strategy. The new results extend the theory to classic models in finance such as Leland and Pyle (1977), Glosten (1989), and DeMarzo and Duffie (1999), that were not previously covered
A neural network for positron identification by a transition radiation detector
No full textA neural network algorithm has been applied in order to distinguish positrons from protons by a transition radiation detector (TRD). New variables are introduced, that simultaneously take into account spatial and energy TRD information. This method is found to be better than the one based on classical analysis: the results improve the detector performance in particle identification for efficiency higher than 90%. The high accuracy achieved with this method is used to identify positrons versus protons with 3 x 10(-3) contamination, as required by TRAMP-SI cosmic ray space experiment on the NASA Balloon-Borne Magnet Facility
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