Results 211 to 220 of about 61,510 (266)
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Superparasitism as an ESS: to reject or not to reject, that is the question
Journal of Theoretical Biology, 1990A stochastic model is formulated to determine the optimal strategy for a solitary parasitoid which has discovered an already parasitized host. The model assumes that the parasitoid can count both the number of eggs already present in a host and the number of conspecifics searching in the same patch.
van der Hoeven, N., Hemerik, L.
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Reject the rejection technique
Journal of Scientific Computing, 1992The author considers the so called ``rejection technique'', sometimes used in the practice of Monte Carlo methods. It consists substantially in evaluating the area of a surface contained in a domain suitably defined utilizing the percentage of the random points of a sequence equidistributed in the domain that hits the surface.
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Current Opinion in Nephrology and Hypertension, 1996
The pathogenesis of chronic rejection is a complex network of immunological, metabolic and haemodynamic events leading to a cascade of cellular and molecular events with a subsequent remodelling of the graft. Evidence suggests that the frequency and intensity of acute rejection episodes strongly correlate with graft loss as a result of chronic ...
P, Koskinen, K, Lemström, P, Häyry
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The pathogenesis of chronic rejection is a complex network of immunological, metabolic and haemodynamic events leading to a cascade of cellular and molecular events with a subsequent remodelling of the graft. Evidence suggests that the frequency and intensity of acute rejection episodes strongly correlate with graft loss as a result of chronic ...
P, Koskinen, K, Lemström, P, Häyry
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Journal of Documentation, 1992
Describes the fate of 101 manuscripts rejected by the Journal of Documentation during the years 1981–1989. More than a quarter were subsequently traced in the literature. The majority of re‐submitted articles appeared in journals with a lower impact factor. The limitations of the study and the methodology are acknowledged.
Blaise Cronin, Gail McKenzie
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Describes the fate of 101 manuscripts rejected by the Journal of Documentation during the years 1981–1989. More than a quarter were subsequently traced in the literature. The majority of re‐submitted articles appeared in journals with a lower impact factor. The limitations of the study and the methodology are acknowledged.
Blaise Cronin, Gail McKenzie
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2016
We introduce a novel framework for classification with a rejection option that consists of simultaneously learning two functions: a classifier along with a rejection function. We present a full theoretical analysis of this framework including new data-dependent learning bounds in terms of the Rademacher complexities of the classifier and rejection ...
Corinna Cortes +2 more
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We introduce a novel framework for classification with a rejection option that consists of simultaneously learning two functions: a classifier along with a rejection function. We present a full theoretical analysis of this framework including new data-dependent learning bounds in terms of the Rademacher complexities of the classifier and rejection ...
Corinna Cortes +2 more
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Digestive Diseases and Sciences, 1991
One hundred thirty-eight primary liver allograft recipients received cyclosporine and prednisolone immunosuppression with azathioprine added during the induction phase. All rejections were biopsy-confirmed clinical rejections. Acute rejection was seen in 58.7% of the patients. The treatment of acute rejection was successful in 88.9% of treated patients.
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One hundred thirty-eight primary liver allograft recipients received cyclosporine and prednisolone immunosuppression with azathioprine added during the induction phase. All rejections were biopsy-confirmed clinical rejections. Acute rejection was seen in 58.7% of the patients. The treatment of acute rejection was successful in 88.9% of treated patients.
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Nursing Standard, 1989
Researchers from Newcastle- upon-Tyne have discovered a way of predicting rejection of transplanted organs.
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Researchers from Newcastle- upon-Tyne have discovered a way of predicting rejection of transplanted organs.
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