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Recent progress in using recurrent neural networks (RNNs) for image description has motivated the exploration of their application for video description. However, while images are static, working with videos requires modeling their dynamic temporal structure and then properly integrating that information into a natural language description model. In this(More)
Theano is a Python library that allows to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Since its introduction, it has been one of the most used CPU and GPU mathematical compilers - especially in the machine learning community - and has shown steady performance improvements. Theano is being actively(More)
Recent work has shown how denoising and contractive autoencoders implicitly capture the structure of the data-generating density, in the case where the corruption noise is Gaussian, the reconstruction error is the squared error, and the data is continuous-valued. This has led to various proposals for sampling from this implicitly learned density function,(More)
Pheochromocytomas, which are catecholamine-secreting tumors of neural crest origin, are frequently hereditary. However, the molecular basis of the majority of these tumors is unknown. We identified the transmembrane-encoding gene TMEM127 on chromosome 2q11 as a new pheochromocytoma susceptibility gene. In a cohort of 103 samples, we detected truncating(More)
Mild cognitive impairment (MCI) is the transitional, heterogeneous continuum from healthy elderly to Alzheimer's disease (AD). Previous studies have shown that brain functional activity in the default mode network (DMN) is impaired in AD patients. However, altering DMN activity patterns in MCI patients remains largely unclear. The present study utilized(More)
We propose an approach to learn spatio-temporal features in videos from intermediate visual representations we call “percepts” using Gated-Recurrent-Unit Recurrent Networks (GRUs). Our method relies on percepts that are extracted from all levels of a deep convolutional network trained on the large ImageNet dataset. While high-level percepts contain highly(More)
OBJECTIVE Sympathetic nervous system activity in the myocardium is increased in patients with heart failure. However, the in vivo mechanisms responsible for beta-adrenoceptor-mediated cardiac hypertrophy or remodeling remain unclear. This study aimed to clarify the role of reactive oxygen species (ROS) in mitogen-activated protein (MAP) kinase activation(More)
Reactive oxygen species (ROS) participate in cardioprotection of ischemic reperfusion (I/R) injury via preconditioning mechanisms. Mitochondrial ROS have been shown to play a key role in this process. Angiotensin II (Ang II) exhibits pharmacological preconditioning; however, the involvement of NAD(P)H oxidase, known as an ROS-generating enzyme responsive to(More)
Cloud computing is the next generation of networking computing, since it can deliver both software and hardware as on-demand resources and services over the Internet. Undoubtedly, one of the significant concerns in cloud computing is security. Virtualization is a key feature of cloud computing. In this paper, we focus on the security of virtual network in(More)
Here we describe the diversity and activity of sulfate-reducing bacteria (SRB) in sulfidogenic bioreactors by using the simultaneous analysis of PCR products obtained from DNA and RNA of the 16S rRNA and dissimilatory sulfite reductase (dsrAB) genes. We subsequently analyzed the amplified gene fragments by using denaturing gradient gel electrophoresis(More)