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 …

Since the first successful synthesis of graphene just over a decade ago, a variety of two-dimensional
(2D) materials (eg, transition metal-dichalcogenides, hexagonal boron-nitride, etc.) …

The exploration of efficient electrocatalysts for energy conversion is important for green
energy development. Owing to their high surface areas and unusual electronic structure, 2D …

The identification of neural stem and progenitor cells (NPCs) by in vivo brain imaging could
have important implications for diagnostic, prognostic, and therapeutic purposes. We …

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).…

In vitro and some animal models have shown that quercetin, a polyphenol derived from plants,
has a wide range of biological actions including anti-carcinogenic, anti-inflammatory and …

Monolayers of transition-metal dichalcogenides (TMDs) exhibit numerous crystal phases
with distinct structures, symmetries and physical properties 1 , 2 , 3 . Exploring the physics of …

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 …

Coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2), was first reported in Wuhan, Hubei Province, China in late …

Lighting accounts for one-fifth of global electricity consumption 1 . Single materials with
efficient and stable white-light emission are ideal for lighting applications, but photon emission …