377 research outputs found
Word Embedding based Correlation Model for Question/Answer Matching
With the development of community based question answering (Q&A) services, a
large scale of Q&A archives have been accumulated and are an important
information and knowledge resource on the web. Question and answer matching has
been attached much importance to for its ability to reuse knowledge stored in
these systems: it can be useful in enhancing user experience with recurrent
questions. In this paper, we try to improve the matching accuracy by overcoming
the lexical gap between question and answer pairs. A Word Embedding based
Correlation (WEC) model is proposed by integrating advantages of both the
translation model and word embedding, given a random pair of words, WEC can
score their co-occurrence probability in Q&A pairs and it can also leverage the
continuity and smoothness of continuous space word representation to deal with
new pairs of words that are rare in the training parallel text. An experimental
study on Yahoo! Answers dataset and Baidu Zhidao dataset shows this new
method's promising potential.Comment: 8 pages, 2 figure
Fidelity of a Bose-Einstein Condensate
We investigate fidelity, the Loschmidt echo, for a Bose-Einstein Condensate.
It is found that the fidelity decays with time in various ways (exponential,
Gaussian, and power-law), depending on the choice of initial coherent state as
well as the parameters that determine properties of the underlying classical
dynamics. Moreover, high fidelity is found for initial states lying in the
regular region of a mixed-type phase space. A possible experimental scheme is
suggested.Comment: 5 pages and 6 figure
From ab initio quantum mechanics to molecular neurobiology: A cation-pi binding site in the nicotinic receptor
The nicotinic acetylcholine receptor is the prototype ligand-gated ion channel. A number of aromatic amino acids have been identified as contributing to the agonist binding site, suggesting that cation-pi interactions may be involved in binding the quaternary ammonium group of the agonist, acetylcholine. Here we show a compelling correlation between: (i) ab initio quantum mechanical predictions of cation-pi binding abilities and (ii) EC50 values for acetylcholine at the receptor for a series of tryptophan derivatives that were incorporated into the receptor by using the in vivo nonsense-suppression method for unnatural amino acid incorporation. Such a correlation is seen at one, and only one, of the aromatic residues-tryptophan-149 of the alpha subunit. This finding indicates that, on binding, the cationic, quaternary ammonium group of acetylcholine makes van der Waals contact with the indole side chain of alpha tryptophan-149, providing the most precise structural information to date on this receptor. Consistent with this model, a tethered quaternary ammonium group emanating from position alpha 149 produces a constitutively active receptor
Task-technology Fit Aware Expectation-confirmation Model towards Understanding of MOOCs Continued Usage Intention
Massive Open Online Courses (MOOCs) have been playing a pivotal role among the latest e-learning initiative and obtain widespread popularity in many universities. But the low course completion rate and the high midway dropout rate of students have puzzled some researchers and designers of MOOCs. Therefore, it is important to explore the factors affecting students’ continuance intention to use MOOCs. This study integrates task-technology fit which can explain how the characteristics of task and technology affect the outcome of technology utilization into expectation-confirmation model to analyze the factors influencing students’ keeping using MOOCs and the relationships of constructs in the model, then it will also extend our understandings of continuance intention about MOOCs. We analyze and study 234 respondents, and results reveal that perceived usefulness, satisfaction and task-technology fit are important precedents of the intention to continue using MOOCs. Researchers and designers of MOOCs may obtain further insight in continuance intention about MOOCs
A New Interpretation of the Mechanism for the Determination of Interest Rate and Its Policy Implications
This paper first indicates that saving equals to the liquidity preference plus the supply of loanable funds and the liquidity preference is just opposite to the supply of loanable funds. Meanwhile, the paper proposes a new model in which interest rate is determined by the investment demand curve and the symmetrical curve of the liquidity preference curve about Y axis. On such basis, the paper notes that the existence of liquidity preference makes effective demand always deficient. Thus market failure becomes the norm and the government is obliged to take aim at the interest rate which is determined by the desired investment and desired saving. So far the paper has thoroughly clarified how interest rate is determined and constructed a new and compact macroeconomic analytical framework. Further, the paper attempts to discuss the new model’s inspiration to Taylor rule and other deductions brought by the new model
A New Interpretation of the Mechanism for the Determination of Interest Rate and Its Policy Implications
This paper first indicates that saving equals to the liquidity preference plus the supply of loanable funds and the liquidity preference is just opposite to the supply of loanable funds. Meanwhile, the paper proposes a new model in which interest rate is determined by the investment demand curve and the symmetrical curve of the liquidity preference curve about Y axis. On such basis, the paper notes that the existence of liquidity preference makes effective demand always deficient. Thus market failure becomes the norm and the government is obliged to take aim at the interest rate which is determined by the desired investment and desired saving. So far the paper has thoroughly clarified how interest rate is determined and constructed a new and compact macroeconomic analytical framework. Further, the paper attempts to discuss the new model’s inspiration to Taylor rule and other deductions brought by the new model
Electrical Conductivity of Melt Compounded Functionalized Graphene Sheets Filled Polyethyleneterephthalate Composites
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