ADVANCED SURGICAL STRATEGY FOR GIANT MEDIASTINAL GERM CELL TUMOR IN CHILDREN


Probabilistic programming in Python using PyMC3

Probabilistic programming allows for automatic Bayesian inference on user-defined probabilistic models.Recent advances in Markov chain Monte Carlo (MCMC) sampling allow inference on increasingly complex models.This class of MCMC, known as Hamiltonian Monte Carlo, requires gradient information which is often not readily available.PyMC3 is a new open

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CALL in Context: A Brief Historical and Theoretical Perspective

Computers have been used for language teaching since the 1960s (Warschauer & Healey, 1998), and several recent studies suggest that there is still a strong need to experiment with technology and digital tools in both education and language learning (Godwin-Jones, 2012; Goertler, 2009; Levy, 2009; Reinhardt & Ryu, 2013; Zhao, 2003).Because o

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