this article presents an experimental investigation on effects of morphology of nanoparticles on the viscosity nanofluids (nfs). water and ethylene glycol were used as base fluids. a two step method was used for preparation of nfs. sio2 nanoparticles, cnt and graphene nano sheets were dispersed in the base fluids separately with the volume fraction ranging from 0.05% to 1.5%. stability of the n...

The COVID-19 pandemic has significantly reduced human activities through city lock-downs and restricted traffic flows. It had been suggested that roadkill occurrences are strongly associated with volume. I evaluated the association between volume during COVID-19, from March to May 2020, using 26,130 data points recorded highway network in Hokkaido 2010 Japan. Results showed there was a signific...

The Web is a huge repository; this is particularly true for mathematical knowledge. Sophisticated search capabilities for mathematical Web resources are required by research and education. We are working on the integration of classifiers for mathematical Web content into a working instance of a Web indexing framework. It is a natural choice to reuse a computer algebra system for the actual clas...

We provide a new weighted parsing algorithm for deterministic context free grammar parsing inspired by LR (Knuth, 1965). The parser is weighted by a discriminative model that allows determinism (Collins, 2002). We show that the discriminative model allows to take advantage of morphological information available in the data, hence allowing to achieve state of the art results both in time and in ...

We introduce a new method for incremental shift-reduce parsing of discontinuous constituency trees, based on the fact that discontinuous trees can be transformed into continuous trees by changing the order of the terminal nodes. It allows for a clean formulation of different oracles, leads to faster parsers and provides better results. Our best system achieves an F1 of 80.02 on TIGER.

Shift-reduce parsing has been studied extensively for diverse grammars due to the simplicity and running efficiency. However, in the field of constituency parsing, shift-reduce parsers lag behind state-of-the-art parsers. In this paper we propose a semi-supervised approach for advancing shift-reduce constituency parsing. First, we apply the uptraining approach (Petrov, S. et al. 2010. In Procee...