The optoelectronic properties of hybrid perovskites can be easily tailored by varying their components. Specifically, mixing the common short organic cation (methylammonium (MA)) with a larger one (e.g., butyl ammonium (BA)) results in 2-dimensional perovskites with varying thicknesses of inorganic layers separated by the large organic cation. In both of these applications, a detailed understan...

This paper proposes a global methodology combining electromagnetic (EM) analysis with chip power switching macro-modeling for accurate co-design of re-distribution layers (RDLs). Differences between segregated approach (where Chip, RDL and package are analysed separately and then combined following cascade techniques) and integrated/global approach (where Chip, RDL and package are analysed as o...

In this short overview paper, we describe our vision for combining task and motion planning and present a historical perspective to show which parts of it have already become reality. Robots do not have to plan only once but repeatedly. Replanning from scratch is often very time consuming. Incremental heuristic search addresses this issue by reusing information from previous searches to find so...

Indirect-immunofluorescence (IIF) of Human Epithelial-2 (HEp-2) cells is a commonly-used method for the diagnosis of autoimmune diseases. Traditional approach relies on specialists to observe HEp-2 slides via the fluorescence microscope, which suffers from a number of shortcomings like being subjective and labor intensive. In this paper, we proposed a hybrid deep learning network combining the ...

AWN is a process algebra developed for modelling and analysing protocols for Mobile Ad hoc Networks (MANETs) and Wireless Mesh Networks (WMNs) [2, §4]. AWN models comprise five distinct layers: sequential processes, local parallel compositions, nodes, partial networks, and complete networks. This development mechanises the original operational semantics of AWN and introduces a variant ‘open’ op...

Graphene and hexagonal boron nitride are typical conductor and insulator, respectively, while their hybrids hexagonal boron carbonitride are promising as a semiconductor. Here we demonstrate a direct chemical conversion reaction, which systematically converts the hexagonal carbon lattice of graphene to boron nitride, making it possible to produce uniform boron nitride and boron carbonitride str...

On the surface of water ice, a quasi-liquid layer (QLL) has been extensively reported at temperatures below its bulk melting point at 273 K. Approaching the bulk melting temperature from below, the thickness of the QLL is known to increase. To elucidate the precise temperature variation of the QLL, and its nature, we investigate the surface melting of hexagonal ice by combining noncontact, surf...

Composite tissue-engineered constructs combining bone and soft tissue have applications in regenerative medicine, particularly dentistry. This study generated a tri-layer, electrospun, poly-ε-caprolactone membrane, with two microfiber layers separated by a layer of nanofibers, for the spatially segregated culture of mesenchymal progenitor cells (MPCs) and fibroblasts. The two cell types were se...

As web 2.0 is spreading, users get used to give there opinions on forums, blogs and e-commerce websites. This is a valuable piece of information for many applications such as consumer modeling, sales prediction or opinion survey. According to the literature, the efficiency of opinion mining tools will mainly relies on the ability of discriminating texts that express positive sentiments from tex...

Recently, the rapid development of word embedding and neural networks has brought new inspiration to various NLP and IR tasks. In this paper, we describe a staged hybrid model combining Recurrent Convolutional Neural Networks (RCNN) with highway layers. The highway network module is incorporated in the middle takes the output of the bidirectional Recurrent Neural Network (Bi-RNN) module in the ...