Standard jet-finding techniques used in elementary particle collisions have not been successful in the high track density of heavy-ion collisions. This paper describes a modified cone-type ...jet-finding algorithm developed for the complex environment of heavy-ion collisions. The primary modification to the algorithm is the evaluation and subtraction of the large background energy, arising from uncorrelated soft hadrons, in each collision. A detailed analysis of the background energy and its event-by-event fluctuations has been performed on simulated data, and a method developed to estimate the background energy inside the jet cone from the measured energy outside the cone on an event-by-event basis. The algorithm has been tested using Monte Carlo simulations of Pb+Pb collisions at {radical}s=5.5 TeV for the ALICE detector at the LHC. The algorithm can reconstruct jets with a transverse energy of 50 GeV and above with an energy resolution of {approx}30%.
Performance of large area CsI-RICH prototypes for ALICE at LHC Mauro, A.Di; Cozza, D.; Davenport, M. ...
Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment,
08/1999, Letnik:
433, Številka:
1-2
Journal Article
LifeCode is a natural language processing (NLP) and expert system that extracts demographic and clinical information from free‐text clinical records. The initial application of LifeCode is for the ...emergency medicine clinical specialty. An application for diagnostic radiology went into production in October 2000. The LifeCode NLP engine uses a large number of specialist readers whose particular output are combined at various levels to form an integrated picture of the patient's medical condition(s), course of treatment, and disposition. The LifeCode expert system performs the tasks of combining complementary information, deleting redundant information, assessing the level of medical risk and level of service represented in the clinical record, and producing an output that is appropriate for input to an electronic medical record (EMR) system or a hospital information system. Because of the critical nature of the tasks, LifeCode has a unique “self‐awareness” feature that enables it to recognize the limits of its competence and, thus, ask for assistance from a human expert when faced with information that is beyond the bounds of its competence. The LifeCode NLP and expert systems reside in various delivery packages, including online transaction processing, a web browser interface, and an automated speech recognition (ASR) interface.
Accuracy and speed are imperative when it comes to coding medical records. Completely automated approaches to coding are faster than human coders, but are they as accurate? To measure accuracy, a ..."gold standard" is required; however, establishing a standard for medical records coding is problematic given the inherent ambiguity in some of the coding rules and guidelines. This paper presents statistics regarding the variability amongst experienced coders and compares this variability with an automated system, LifeCode. The authors conclude that LifeCode is as accurate as the human coders used in this study and offers the potential for increased coding consistency and productivity.
Recognition of Cherenkov patterns in high multiplicity environments Cozza, D.; Di Bari, D.; Di Mauro, A. ...
Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment,
04/2002, Letnik:
482, Številka:
1-2
Journal Article
Recenzirano
Odprti dostop
An algorithm for the recognition of Cherenkov patterns based on the Hough Transform Method is presented. It basically consists in a mapping of the pad coordinate space directly to the Cherenkov angle ...parameter space with a crucial increase of performance in the treatment of different pattern shapes and amount of background.
The method has been developed in the framework of the ALICE experiment at CERN, for the analysis of data taken with the High Momentum Particle Identification Detector RICH prototype in the test beam.
The activities of the enzymes NTPDase (E.C. 3.6.1.5, apyrase, ATP diphosphohydrolase, ecto-CD39) and 5′-nucleotidase (E.C. 3.1.3.5, CD73) were analyzed in platelets of type 2 diabetic, hypertensive ...and type 2 diabetic/hypertensive patients. The results showed an increase in platelet NTPDase activity in type 2 diabetic (34% and 72%), hypertensive (32% and 70%) and type 2 diabetic/hypertensive patients (30% and 55%) when compared to control (
P<.01) with ATP and ADP as substrate, respectively. 5′-Nucleotidase activity was elevated in the hypertensive (60%) and type 2 diabetic/hypertensive (53%) groups when compared to the control and type 2 diabetic group (
P<.01). No differences in sensitivity to inhibitors was detected between the platelets of controls and type 2 diabetic/hypertensive patients. No effects on the enzyme activities were observed when pharmacological doses of propranolol, captopril, furosemide, chlorpropamide, acetylsalicylic acid and glibenclamide were administered. Furthermore, changes in platelet adhesiveness and reactivity were found in all groups tested. In conclusion, we may postulate that NTPDase and 5′-nucleotidase from platelets are altered in patients with type 2 diabetes and hypertension. Probably, such alterations are involved in compensatory physiological responses in these diseases and are related to other important mechanisms of thromboregulation.
An extension of the study of two particle correlations used at RHIC to LHC energies (Pb + Pb at
= 5.5 TeV) is presented. The method is based on the two-dimensional Fourier Transform used to calculate ...the angular autocorrelation function in (
η,ϕ
) space. It does not require the identification of a leading particle and is, hence, optimized to the low-pt and medium-pt region at LHC where many minijets are overlapping. We discuss the feasibility of the analysis in heavy ion collisions at the LHC using HIJING and Pythia simulations.
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