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  1. Book ; Online: Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors

    Frühwirth, Rudolf / Strandlie, Are

    2021  

    Keywords Particle & high-energy physics ; Mensuration & systems of measurement ; Pattern recognition ; Mathematical physics ; Particle Acceleration and Detection, Beam Physics ; Measurement Science and Instrumentation ; Pattern Recognition ; Numerical and Computational Physics, Simulation ; Accelerator Physics ; Automated Pattern Recognition ; Theoretical, Mathematical and Computational Physics ; Event reconstruction ; Tracking detectors in High Energy Physics ; Vertex reconstruction ; Clustering algorithms ; Experimental High-Energy Physics ; LHC ; Calolimator for pattern recognition ; Vertex of particle collision ; Triggering event and data analysis ; Open access ; Scientific standards, measurement etc
    Size 1 electronic resource (203 pages)
    Publisher Springer Nature
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021048504
    ISBN 9783030657710 ; 9783030657703 ; 303065771X ; 3030657701
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online: Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors

    Frühwirth, Rudolf / Strandlie, Are

    (Particle Acceleration and Detection)

    2021  

    Author's details by Rudolf Frühwirth, Are Strandlie
    Series title Particle Acceleration and Detection
    Keywords Particle acceleration ; Physical measurements ; Measurement    ; Pattern recognition ; Physics
    Subject code 539.73
    Language English
    Size 1 Online-Ressource (XVII, 203 p. 86 illus., 39 illus. in color)
    Edition 1st ed. 2021
    Publisher Springer International Publishing ; Imprint: Springer
    Publishing place Cham
    Document type Book ; Online
    HBZ-ID HT020861837
    ISBN 978-3-030-65771-0 ; 9783030657703 ; 9783030657727 ; 9783030657734 ; 3-030-65771-X ; 3030657701 ; 3030657728 ; 3030657736
    DOI 10.1007/978-3-030-65771-0
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Article ; Online: Towards Managing Uncertain Geo-Information for Drilling Disasters Using Event Tracking Sensitivity Analysis.

    Tavakoli, Siamak / Poslad, Stefan / Fruhwirth, Rudolf / Winter, Martin / Zeiner, Herwig

    Sensors (Basel, Switzerland)

    2023  Volume 23, Issue 9

    Abstract: In sub-surface drilling rigs, one key critical crisis is unwanted influx into the borehole as a result of increasing the influx rate while drilling deeper into a high-pressure gas formation. Although established risk assessments in drilling rigs provide ... ...

    Abstract In sub-surface drilling rigs, one key critical crisis is unwanted influx into the borehole as a result of increasing the influx rate while drilling deeper into a high-pressure gas formation. Although established risk assessments in drilling rigs provide a high degree of protection, uncertainty arises due to the behavior of the formation being drilled into, which may cause crucial situations at the rig. To overcome such uncertainties, real-time sensor measurements are used to predict, and thus prevent, such crises. In addition, new understandings of the effective events were derived from raw data. In order to avoid the computational overhead of input feature analysis that hinders time-critical prediction, EventTracker sensitivity analysis, an incremental method that can support dimensionality reduction, was applied to real-world data from 1600 features per each of the 4 wells as input and 6 time series per each of the 4 wells as output. The resulting significant input series were then introduced to two classification methods: Random Forest Classifier and Neural Networks. Performance of the EventTracker method was understood correlated with a conventional manual method that incorporated expert knowledge. More importantly, the outcome of a Neural Network Classifier was improved by reducing the number of inputs according to the results of the EventTracker feature selection. Most important of all, the generation of results of the EventTracker method took fractions of milliseconds that left plenty of time before the next bunch of data samples.
    Language English
    Publishing date 2023-04-26
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s23094292
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Privatisierung der Flüchtlingsbetreuung

    Frühwirth, Ronald / Lachmayer, Konrad

    Kurswechsel : Zeitschrift für gesellschafts-, wirtschafts- und umweltpolitische Alternativen , No. 4 , p. 70-74

    zwischen unternehmerischer Gewinnmaximierung und Zivilgesellschaft

    2015  , Issue 4, Page(s) 70–74

    Author's details Ronald Frühwirth; Konrad Lachmayer
    Language German
    Publisher Sonderzahl Verlagsges
    Publishing place Wien
    Document type Article
    ZDB-ID 1202507-0 ; 2514398-0
    ISSN 1016-8419
    ISSN 1016-8419
    Database ECONomics Information System

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  5. Article: Behandlungsverbesserung für Migrantinnen

    Frühwirth, Robert

    Gemeindenahe Psychiatrie

    2009  Volume 30, Issue 103=Heft 3, Page(s) 165

    Language German
    Document type Article
    ZDB-ID 1129173-4
    ISSN 1015-1699
    Database Current Contents Medicine

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    In stock of ZB MED Cologne/Königswinter

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  6. Article ; Online: Peelle’s Pertinent Puzzle and its Solution

    Leeb H. / Neudecker D. / Frühwirth R.

    EPJ Web of Conferences, Vol 27, p

    2012  Volume 00008

    Abstract: Peelle’s Pertinent Puzzle is a long-standing problem of nuclear data evaluation. In principle it is a phenomenon exhibiting unexpected mean values for experimental data affected by statistical and systematic errors. This occurs for non-linear functions ... ...

    Abstract Peelle’s Pertinent Puzzle is a long-standing problem of nuclear data evaluation. In principle it is a phenomenon exhibiting unexpected mean values for experimental data affected by statistical and systematic errors. This occurs for non-linear functions of statistical quantities, e.g. for a product, but not for a sum. In the literature on nuclear data, this phenomenon was attributed to the underlying non-linearity of the relation between data. Here, we show in terms of Bayesian Statistics that Peelle’s Pertinent Puzzle is primarily caused by improper estimates of covariance matrices of experiments and not exclusively by non-linearities. Applying the correct covariance matrix leads to the exact posterior expectation value and variance for an arbitrary number of uncorrelated measurement points which are normalized by the same quantity. It is also shown that the mean value converges in probability to zero with increasing number of observations, if the improper covariance matrix is applied.
    Keywords Physics ; QC1-999 ; Science ; Q ; DOAJ:Physics (General) ; DOAJ:Physics and Astronomy
    Language English
    Publishing date 2012-05-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Clustering with position-specific constraints on variance: applying redescending M-estimators to label-free LC-MS data analysis.

    Frühwirth, Rudolf / Mani, D R / Pyne, Saumyadipta

    BMC bioinformatics

    2011  Volume 12, Page(s) 358

    Abstract: Background: Clustering is a widely applicable pattern recognition method for discovering groups of similar observations in data. While there are a large variety of clustering algorithms, very few of these can enforce constraints on the variation of ... ...

    Abstract Background: Clustering is a widely applicable pattern recognition method for discovering groups of similar observations in data. While there are a large variety of clustering algorithms, very few of these can enforce constraints on the variation of attributes for data points included in a given cluster. In particular, a clustering algorithm that can limit variation within a cluster according to that cluster's position (centroid location) can produce effective and optimal results in many important applications ranging from clustering of silicon pixels or calorimeter cells in high-energy physics to label-free liquid chromatography based mass spectrometry (LC-MS) data analysis in proteomics and metabolomics.
    Results: We present MEDEA (M-Estimator with DEterministic Annealing), an M-estimator based, new unsupervised algorithm that is designed to enforce position-specific constraints on variance during the clustering process. The utility of MEDEA is demonstrated by applying it to the problem of "peak matching"--identifying the common LC-MS peaks across multiple samples--in proteomic biomarker discovery. Using real-life datasets, we show that MEDEA not only outperforms current state-of-the-art model-based clustering methods, but also results in an implementation that is significantly more efficient, and hence applicable to much larger LC-MS data sets.
    Conclusions: MEDEA is an effective and efficient solution to the problem of peak matching in label-free LC-MS data. The program implementing the MEDEA algorithm, including datasets, clustering results, and supplementary information is available from the author website at http://www.hephy.at/user/fru/medea/.
    MeSH term(s) Algorithms ; Biomarkers/analysis ; Chromatography, Liquid/methods ; Cluster Analysis ; Humans ; Mass Spectrometry/methods ; Proteomics/methods
    Chemical Substances Biomarkers
    Language English
    Publishing date 2011-08-31
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2041484-5
    ISSN 1471-2105 ; 1471-2105
    ISSN (online) 1471-2105
    ISSN 1471-2105
    DOI 10.1186/1471-2105-12-358
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Paediatric musculoskeletal interventional radiology.

    Natali, Gian L / Paolantonio, Guglielmo / Fruhwirth, Rodolfo / Alvaro, Giuseppe / Parapatt, George K / Toma', Paolo / Rollo, Massimo

    The British journal of radiology

    2016  Volume 89, Issue 1057, Page(s) 20150369

    Abstract: Interventional radiology technique is now well established and widely used in the adult population. Through minimally invasive procedures, it increasingly replaces surgical interventions that involve higher percentages of invasiveness and, consequently, ... ...

    Abstract Interventional radiology technique is now well established and widely used in the adult population. Through minimally invasive procedures, it increasingly replaces surgical interventions that involve higher percentages of invasiveness and, consequently, of morbidity and mortality. For these advantageous reasons, interventional radiology in recent years has spread to the paediatric age as well. The aim of this study was to review the literature on the development, use and perspectives of these procedures in the paediatric musculoskeletal field. Several topics are covered: osteomuscle neoplastic malignant and benign pathologies treated with invasive diagnostic and/or therapeutic procedures such as radiofrequency ablation in the osteoid osteoma; invasive and non-invasive procedures in vascular malformations; treatment of aneurysmal bone cysts; and role of interventional radiology in paediatric inflammatory and rheumatic inflammations. The positive results that have been generated with interventional radiology procedures in the paediatric field highly encourage both the development of new ad hoc materials, obviously adapted to young patients, as well as the improvement of such techniques, in consideration of the fact that childrens' pathologies do not always correspond to those of adults. In conclusion, as these interventional procedures have proven to be less invasive, with lower morbidity and mortality rates as well, they are becoming a viable and valid alternative to surgery in the paediatric population.
    MeSH term(s) Child ; Humans ; Musculoskeletal Diseases/diagnosis ; Radiology, Interventional
    Keywords covid19
    Language English
    Publishing date 2016
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2982-8
    ISSN 1748-880X ; 0007-1285
    ISSN (online) 1748-880X
    ISSN 0007-1285
    DOI 10.1259/bjr.20150369
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Die psychiatrische Tagesklinik und ihre Patienten

    Rittmannsberger, H. / Frühwirth, R. / Schirl, J. / Wenko, J.

    Gemeindenahe Psychiatrie

    2004  Volume 25, Issue 1, Page(s) 25

    Language German
    Document type Article
    ZDB-ID 1129173-4
    ISSN 1015-1699
    Database Current Contents Medicine

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3495: Show issues Location:
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  10. Article ; Online: Microwave thermoablation treatment of chest wall chondroid hamartoma in a child.

    Crocoli, Alessandro / Fruhwirth, Rodolfo / De Vito, Rita / Rosa, Francesca Marchetti / Inserra, Alessandro / Falappa, Piergiorgio

    Journal of vascular and interventional radiology : JVIR

    2011  Volume 22, Issue 7, Page(s) 1051–1052

    MeSH term(s) Ablation Techniques ; Bone Neoplasms/pathology ; Bone Neoplasms/surgery ; Hamartoma/pathology ; Hamartoma/surgery ; Humans ; Infant ; Magnetic Resonance Imaging ; Male ; Microwaves/therapeutic use ; Thoracic Neoplasms/pathology ; Thoracic Neoplasms/surgery ; Thoracic Wall/pathology ; Thoracic Wall/surgery ; Tomography, X-Ray Computed ; Treatment Outcome
    Language English
    Publishing date 2011-07
    Publishing country United States
    Document type Case Reports ; Letter
    ZDB-ID 1137756-2
    ISSN 1535-7732 ; 1051-0443
    ISSN (online) 1535-7732
    ISSN 1051-0443
    DOI 10.1016/j.jvir.2011.03.011
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 3720: Show issues Location:
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