نتایج جستجو برای: response prediction

تعداد نتایج: 1213413  

Ameneh Kerdarshad Elham Rostami Mohammad Fatemi,

In this work quantitative structure activity relationship (QSAR) methodology was applied for modeling and prediction of cellular response to polymers that have been designed for tissue engineering. After calculation and screening of molecular descriptors, linear and nonlinear models were developed by using multiple linear regressions (MLR) and artificial neural network (ANN) methods. The root m...

1999
Neven Tomov Euan W. Dempster M. Howard Williams Albert Burger Hamish Taylor Peter J. B. King Phil Broughton

The need for tools for performance prediction of parallel database systems is generally recognised. One such tool which has been developed (Steady) is based on analytical techniques to obtain a rapid estimate of performance. The approach to predicting response time involves a heuristic approximation coupled with standard queueing solutions. This paper reports on preliminary results for both max...

2005
Harvey D. Preisler

Marrow specimens obtained from 23 patients with acute myelocytic leukemia were exposed to cytosine arabinoside and/or daunorubicin in vitro, and the effects of these agents on colony formation in vitro was determined. Thymidine suicide indices were determined as well, which permitted a distinction to be made between kinetic and metabolic resistance to cytosine arabinoside. The sensitivity of th...

Journal: :The Ulster Medical Journal 1978
A. B. Atkinson E. R. Trimble D. R. Hadden B. Sheridan

BROMOCRIPTINE was first used in the treatment of acromegaly in 1974 (Liuzzi et al, 1974 a). Not all patients show lowered human growth hormone in response to the drug (Liuzzi et al, 1974 a; Thorner and Besser, 1975; Sachdev et al, 1975). We have performed a series of tests on acromegalic patients in an attempt to discover if any test could predict those patients likely to show !ong-term respons...

2001
Jacob Thomas Xiao-jun Zhang

While prior research, as noted in our paper, often uses various accrual prediction models to detect earnings management, not much is known about the accuracy, both relative and absolute, associated with these models. Our paper investigates the accuracy of six different accrual prediction models, and offers the following findings. Only the Kang-Sivaramakrishnan (1995) model performs moderately w...

1997
Doina Petrescu Ioan Tabus Moncef Gabbouj

This paper proposes the use of MAE{optimal Boolean and stack lters for sequential prediction in lossless grey-level image coding. FIR{Boolean hybrid lters are introduced as variations of Boolean lter structure and shown to be very e ective for the prediction task. Di erent instances of optimal ltering are considered for realizing the prediction stage. First, the use of global{optimal predictors...

2014
Norbert Siegmund Sergiy S. Kolesnikov Christian Kästner Sven Apel Don S. Batory Marko Rosenmüller Gunter Saake

1 Introduction. Customizable programs and program families provide user-selectable features allowing users to tailor the programs to the application scenario or platform. Beside functional requirements, users are often interested in non-functional requirements, such as a binary-size limit, a minimized energy consumption, and a maximum response time. To tailor a program to non-functional require...

2007
Dr. L. K. Singh Riktesh Srivastava

How to efficiently assign system resource to route the Client demand by Gateway servers is a tricky predicament. In this paper, we tender an enhanced proposal for autonomous recital of Gateway servers under highly vibrant traffic loads. We devise a methodology to calculate Queue Length and Waiting Time utilizing Gateway Server information to reduce response time variance in presence of bursty t...

2000
Jacob Thomas Xiao-jun Zhang

While prior research, as noted in our paper, often uses various accrual prediction models to detect earnings management, not much is known about the accuracy, both relative and absolute, associated with these models. Our paper investigates the accuracy of six different accrual prediction models, and offers the following findings. Only the Kang-Sivaramakrishnan (1995) model performs moderately w...

Journal: :Bioinformatics 2004
Yan Liu Jaime G. Carbonell Judith Klein-Seetharaman Vanathi Gopalakrishnan

MOTIVATION Protein secondary structure prediction is an important step towards understanding how proteins fold in three dimensions. Recent analysis by information theory indicates that the correlation between neighboring secondary structures are much stronger than that of neighboring amino acids. In this article, we focus on the combination problem for sequences, i.e. combining the scores or as...

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