28 research outputs found

    Neural Network Parameterizations of Electromagnetic Nucleon Form Factors

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    The electromagnetic nucleon form-factors data are studied with artificial feed forward neural networks. As a result the unbiased model-independent form-factor parametrizations are evaluated together with uncertainties. The Bayesian approach for the neural networks is adapted for chi2 error-like function and applied to the data analysis. The sequence of the feed forward neural networks with one hidden layer of units is considered. The given neural network represents a particular form-factor parametrization. The so-called evidence (the measure of how much the data favor given statistical model) is computed with the Bayesian framework and it is used to determine the best form factor parametrization.Comment: The revised version is divided into 4 sections. The discussion of the prior assumptions is added. The manuscript contains 4 new figures and 2 new tables (32 pages, 15 figures, 2 tables

    Long-term recurrence rate of large and difficult to treat cutaneous squamous cell carcinomas after superficial radiotherapy

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    Background: Surgical excision is the gold standard for cutaneous squamous cell carcinoma (cSCC), however its application is limited in specific cases. Superficial radiotherapy (RTx)is an alternative treatment option, but long-term follow-up data are limited. Objective: To determine the outcome of superficial RTx of cSCC in correlation to histological differentiation grade and tumor localization. Methods: The outcome of 180 large cSCCs after superficial RTx between 1960 and 2004 was retrospectively reviewed. Results: Mean tumor size was 3.5 cm 2 (SD 7.5) and mean follow-up period was 4.9 years (SD 4.7). Relapse-free survival was 95.8 and 80.4% after 1 and 10 years. Two-year relapse-free survival was 94.8% for good, 88.9% for moderate and 85.7% for poor differentiated tumors. Five-year relapse-free survival was highest in cSCCs located around the eyes (100%) and cheeks (90.9%). Conclusion: Superficial RTx is an effective alternative for cSCC if surgery is difficult due to localization or concomitant disease
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