197,706 research outputs found
l-125 seed implants for prostate brachytherapy: Physical characteristics and relations with post-implant quality of life
No full textVerheij, M. [Promotor]Moonen, L.M.F. [Copromotor
NEW SPECIES OF MONSTERA (ARACEAE) FROM FRENCH GUIANA
No full textABSTRACT A new species of Monstera, M. barrieri Croat, Moonen & Poncy, is described from French Guiana. The species is characterized by its deeply pinnately lobed, black-drying blades and the wine-red to orange spadix axis.</jats:p
NEW SPECIES OF MONSTERA (ARACEAE) FROM FRENCH GUIANA
No full textABSTRACT A new species of Monstera, M. barrieri Croat, Moonen & Poncy, is described from French Guiana. The species is characterized by its deeply pinnately lobed, black-drying blades and the wine-red to orange spadix axis
Chimeric Antigen Receptor T-Cells and Cardiovascular Toxicity: Cause for Concern?
No full textpeer reviewe
Applying and combining three different aspect mining techniques
No full textUnderstanding a software system at source-code level requires understanding the different concerns that it addresses, which in turn requires a way to identify these concerns in the source code. Whereas some concerns are explicitly represented by program entities (like classes, methods and variables) and thus are easy to identify, crosscutting concerns are not captured by a single program entity but are scattered over many program entities and are tangled with the other concerns. Because of their crosscutting nature, such crosscutting concerns are difficult to identify, and reduce the understandability of the system as a whole. In this paper, we report on a combined experiment in which we try to identify crosscutting concerns in the JHotDraw framework automatically. We first apply three independently developed aspect mining techniques to JHotDraw and evaluate and compare their results. Based on this analysis, we present three interesting combinations of these three techniques, and show how these combinations provide a more complete coverage of the detected concerns as compared to the original techniques individually. Our results are a first step towards improving the understandability of a system that contains crosscutting concerns, and can be used as a basis for refactoring the identified crosscutting concerns into aspects.Software TechnologyElectrical Engineering, Mathematics and Computer Scienc
Object recognition framework using information retrieval and machine learning techniques
No full textComments on `State-space model identification with data correlation'
No full textIn a recent paper, Hou and Hsu (1991) derive a state-space identification method which apparently improves upon the results in (Moonen et al. 1989). Here we point out that neither one of these methods really applies to the examples given in the paper, and we give an outline of a method which should be used instead. In their paper, Hou and Hsu (1991) consider general state space models of the form x k+1 = A \Delta x k +B \Delta u k + w k y k = C \Delta x k +D \Delta u k + v k where y k 2 ! l is the observed output and u k 2 ! m is the observed deterministic input. The process noise w k and measurement noise v k are unknown. The aim is to identify the system matrices A; B; C; D --up to a similarity transformation-- by means of recorded I/O-sequences fu 1 u 2 : : : uN g and fy 1 y 2 : : : y N g. The original method of (Moonen et al. 1989) works with two matrices H 1 = 2 6 4 U 1 Y 1 3 7 5 H 2 = 2 6 4 U 2 Y 2 3 7 5 where U 1 ; U 2 ; Y 1 ; Y 2 are certain block Hankel matr..
Climate change in Italy indicated by agrometeorological indices over 122 years
No full textTo determine the risk of climate change for agriculture it is necessary to define a set of agrometeorological parameters, derived from the classic climate parameters, that are capable of indicating the consequences of climate change for crop production. In this study high-quality daily rainfall, evaporation and mean, minimum and maximum temperature data collected since 1878 at the meteorological station of the Department of Agronomy and Agroecosystem Management of the University of Pisa, Italy (H = 6 in a.s.l.; latitude = 43degrees41'; longitude = 10degrees23'E) were used to calculate extreme temperature and rainfall events, frost risk, flooding risk and drought risk. Time trends for all variables were analysed using linear regression techniques.
Results indicate that the changes in extreme events in Pisa have not changed in a way that is likely to negatively affect crop production. The risk of crop damage due to frost has decreased and sowing time in spring can safely be anticipated. The soil moisture surplus (SMS) and theoretical irrigation requirement (TIR) have not changed despite a decreasing rainfall trend. The number of soil moisture surplus days in autumn has decreased indicating a decrease in flooding risk, which can have a positive effect on soil workability. (C) 2002 Elsevier Science B.V. All rights reserved
Dr. Duane M. Jackson, Morehouse College, July 2011
No full textThis video is a conversation with Dr. Duane M. Jackson. Dr. Jackson talks about his paper, "Recall and the Serial Position Effect: The Role of Primacy and Recency on Accounting Students' Performance." Jackie Daniel, AUC Woodruff Library, is the interviewer
Supplemental Material, Supplementary_tables - Clinical Markers of Anxiety Subtypes in Parkinson Disease
No full textSupplemental Material, Supplementary_tables for Clinical Markers of Anxiety Subtypes in Parkinson Disease by Martinus P. G. Broen, A. F. G. Leentjens, J. T. Hinkle, A. J. H. Moonen, M. L. Kuijf, N. M. Fischer, K. Perepezko, A. Bakker, and G. M. Pontone in Journal of Geriatric Psychiatry and Neurology</p
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