PUTTING COMPUTATIONAL MODELS OF IMMUNITY TO THE TEST-AN INVITED CHALLENGE TO PREDICT B.PERTUSSIS VACCINATION RESPONSES.

Putting computational models of immunity to the test-An invited challenge to predict B.pertussis vaccination responses.

Systems vaccinology studies have been used to build computational models that predict individual vaccine responses and identify the factors contributing to differences in outcome.Comparing such models is challenging due to variability in study designs.To address this, we established Buffet Sideboard Storage Shoe Cabinet a community resource to comp

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DragDL:An Easy-to-Use Graphical DL Model Construction System

Deep learning has broad applications in various fields.However,users still need to face problems from two aspects when applying deep learning.First,deep learning has a complex theoretical background,non-professional users lack background knowledge in modeling and tuning.It is difficult for them to build performance-optimized models.Second,modules s

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Robust Exponential Stability of Switched Complex-Valued Neural Networks with Interval Parameter Uncertainties and Impulses

In this paper, dynamic behavior analysis has been discussed for a class of switched complex-valued neural networks with interval parameter uncertainties and impulse disturbance.Sufficient conditions for guaranteeing the existence, uniqueness, and global robust exponential stability of the equilibrium point have been obtained by using the homomorphi

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Data Driven Tools and Methods for Microtexture Classification and Dwell Fatigue Life Prediction in Dual Phase Titanium Alloys

Microtexture has been linked 5RV to large reductions in cold dwell fatigue (CDF) life of specific dual phase titanium alloy aeroengine components.A recently completed Metals Affordability Initiative (MAI) funded program led by Pratt & Whitney (P&W) and includes ATI Forged Products, Boeing, GE Aviation, Rolls Royce (RR), Arconic, Titanium Metals Cor

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