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Integrating Real-time Bus-Tracking with Pedestrian Navigation in a Journey Planning System (2010)

Shalaik, Bashir; Jacob, Ricky; Winstanley, Adam C.

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Design and Analysis of a General Recurrent Neural Network Model for Time-Varying Matrix Inversion (2005)

Zhang, Yunong; Ge, Shuzhi Sam

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A Design Methodology for Switched Discrete Time Linear Systems with Applications to Automotive Roll Dynamics Control (2008)

Solmaz, Selim; Shorten, Robert N.; Wulff, Kai; Ó Cairbre, Fiacre

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Nonlinear Damage Identification in Fiber-reinforced Cracked Composite Beams through Time-space Wavelet Analysis (2014)

BRODERICK, BRIAN; BASU, BISWAJIT

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Sodium-23 Magnetic Resonance Imaging has potential for improving penumbra detection but not for estimating stroke onset time (2014)

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An approach to quantifying the run-time behaviour of Java GUI applications (2004)

Mitchell, Aine; Power, James F.

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3-winding flyback transformer model extraction using time domain system identification (2012)

Trong Vu, T.; Ringwood, John

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Time- and momentum-resolved probe of heat transport in photo-excited bismuth (2013)

Chen, J.; Trigo, M.; Fahy, Stephen B.; Murray, Éamonn D.; Sheu, Y. M.; Graber, T.; Henn...

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Time-scale modification of music using a subband approach based on the bark scale (2003)

Dorran, David; Lawlor, Bob

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The time scape of smart cities (2017)

Kitchin, Rob

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Time and technology in Orlando (2014)

O'Sullivan, James

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Utilising symptom dimensions with diagnostic categories improves prediction of time to first remission in first-episode psychosis. (2017)

Ajnakina, Olesya; Lally, John; Di Forti, Marta; Stilo, Simona A; Kolliakou, Anna; Gardn...

Utilising symptom dimensions with diagnostic categories improves prediction of time to first remission in first-episode psychosis. (2017)

Ajnakina, Olesya; Lally, John; Di Forti, Marta; Stilo, Simona A; Kolliakou, Anna; Gardner-Sood, Poonam; Dazzan, Paola; Pariante, Carmine; Reis Marques, Tiago; Mondelli, Valeria; MacCabe, James; Gaughran, Fiona; David, Anthony S; Stamate, Daniel; Murray, Robin M; Fisher, Helen L

Abstract:

<p>The original article is available at https://www.sciencedirect.com </p>
<p>There has been much recent debate concerning the relative clinical utility of symptom dimensions versus conventional diagnostic categories in patients with psychosis. We investigated whether symptom dimensions rated at presentation for first-episode psychosis (FEP) better predicted time to first remission than categorical diagnosis over a four-year follow-up. The sample comprised 193 FEP patients aged 18-65years who presented to psychiatric services in South London, UK, between 2006 and 2010. Psychopathology was assessed at baseline with the Positive and Negative Syndrome Scale and five symptom dimensions were derived using Wallwork/Fortgang's model; baseline diagnoses were grouped using DSM-IV codes. Time to start of first remission was ascertained from clinical records. The Bayesian Information Criterion (BIC) was used to find the best fitting accelerated failure time model of ...