The acquisition of English wh- questions in Chinese Secondary Students: A Processability Approach

Abstract for presentation at ALAA2016 conference

Statistical power of MCP and CHI tests under varying: (A) sequence length, (B) recombination rate, (C) sample size, (D) migration rate, (E) population divergence, and (F) mutation rate.

<p>Statistical power of MCP and CHI tests under varying: (A) sequence length, (B) recombination rate, (C) sample size, (D) migration rate, (E) population divergence, and (F) mutation rate.</p

Experimental and Theoretical Studies on the Effects of Magnetic Fields on the Arrangement of Surface Spins and the Catalytic Activity of Pd Nanoparticles

Nanocatalysts have very high catalytic activities due to surface atoms with their unpaired spins. It is the purpose of this paper to investigate the effect of magnetic fields (MFs) on the arrangement of surface spins and their catalytic activities. Pd nanoparticles supported on MIL-100­(Cr) were selected as catalysts for the reduction of 4-nitrophenol under MFs. The result demonstrates that MFs can reduce the reaction time from 2.6 to 1.4 min under 0.5 T. This study first shows that the configuration of surface spins has an effect on the catalytic activity, which can be regulated by a foreign MF

Framework of defuzzifying FTP.

<p>Framework of defuzzifying FTP.</p

The calculation results of each IPC node location index.

The calculation results of each IPC node location index.</p

Treatment of objective: necessity-fractile approach.

<p>Treatment of objective: necessity-fractile approach.</p

The relationship between supply and demand.

<p>The relationship between supply and demand.</p

Solution from Model I ().

<p>Solution from Model I ().</p

Intertopic distance map.

Three evident and meaningful characteristics of disruptive technology are the zeroing effect that causes sustaining technology useless for its remarkable and unprecedented progress, reshaping the landscape of technology and economy, and leading the future mainstream of technology system, all of which have profound impacts and positive influences. The identification of disruptive technology is a universally difficult task. Therefore, this paper aims to enhance the technical relevance of potential disruptive technology identification results and improve the granularity and effectiveness of potential disruptive technology identification topics. According to the life cycle theory, dividing the time stage, then constructing and analyzing the dynamic of technology networks to identify potential disruptive technology. Thereby, using the Latent Dirichlet Allocation (LDA) topic model further to clarify the topic content of potential disruptive technologies. This paper takes the large civil unmanned aerial vehicles (UAVs) as an example to prove the feasibility and effectiveness of the model. The results show that the potential disruptive technology in this field is the data acquisition, main equipment, and ground platform intelligence.</div

The first stage of the technology network.

Three evident and meaningful characteristics of disruptive technology are the zeroing effect that causes sustaining technology useless for its remarkable and unprecedented progress, reshaping the landscape of technology and economy, and leading the future mainstream of technology system, all of which have profound impacts and positive influences. The identification of disruptive technology is a universally difficult task. Therefore, this paper aims to enhance the technical relevance of potential disruptive technology identification results and improve the granularity and effectiveness of potential disruptive technology identification topics. According to the life cycle theory, dividing the time stage, then constructing and analyzing the dynamic of technology networks to identify potential disruptive technology. Thereby, using the Latent Dirichlet Allocation (LDA) topic model further to clarify the topic content of potential disruptive technologies. This paper takes the large civil unmanned aerial vehicles (UAVs) as an example to prove the feasibility and effectiveness of the model. The results show that the potential disruptive technology in this field is the data acquisition, main equipment, and ground platform intelligence.</div