320,753 research outputs found
INNOVATION AND INSTITUTIONAL QUALITY ON ECONOMIC GROWTH IN ASIA
When looking at the different effects of institutional quality on economic development, namely control of corruption, there are two different hypotheses that explain such effects. One is the “grease the wheel” hypothesis, which predicts that corruption is beneficial for growth, and the other one is the “sand the wheel” hypothesis, which says the opposite. Corruption is normally blamed for the slow economic growths in some countries, but some Asian countries’ exponential growths have proven the “grease the wheel” hypothesis otherwise. The “Asian experience”1 phenomenon occurs when corruption does not seem to hamper business activities in some Asian countries. This research will focus on finding how institutional quality variables, such as corruption control and government effectiveness, can correlate with innovation variables to contribute to economic growth. Using data and examples from Asian countries, this study finds a positive correlation between corruption and economic growth in some developed countries, such as China and South Korea
On the approximation in the smoothed finite element method (SFEM)
This letter aims at resolving the issues raised in the recent short
communication [1] and answered by [2] by proposing a systematic approximation
scheme based on non-mapped shape functions, which both allows to fully exploit
the unique advantages of the smoothed finite element method (SFEM) [3, 4, 5, 6,
7, 8, 9] and resolve the existence, linearity and positivity deficiencies
pointed out in [1]. We show that Wachspress interpolants [10] computed in the
physical coordinate system are very well suited to the SFEM, especially when
elements are heavily distorted (obtuse interior angles). The proposed
approximation leads to results which are almost identical to those of the SFEM
initially proposed in [3]. These results that the proposed approximation scheme
forms a strong and rigorous basis for construction of smoothed finite element
methods.Comment: 14 pages, 9 figures, 1 table; International Journal for Numerical
Methods in Engineering, 201
A D.C. Algorithm via Convex Analysis Approach for Solving a Location Problem Involving Sets
We study a location problem that involves a weighted sum of distances to
closed convex sets. As several of the weights might be negative, traditional
solution methods of convex optimization are not applicable. After obtaining
some existence theorems, we introduce a simple, but effective, algorithm for
solving the problem. Our method is based on the Pham Dinh - Le Thi algorithm
for d.c. programming and a generalized version of the Weiszfeld algorithm,
which works well for convex location problems
Multilingual Schema Matching for Wikipedia Infoboxes
Recent research has taken advantage of Wikipedia's multilingualism as a
resource for cross-language information retrieval and machine translation, as
well as proposed techniques for enriching its cross-language structure. The
availability of documents in multiple languages also opens up new opportunities
for querying structured Wikipedia content, and in particular, to enable answers
that straddle different languages. As a step towards supporting such queries,
in this paper, we propose a method for identifying mappings between attributes
from infoboxes that come from pages in different languages. Our approach finds
mappings in a completely automated fashion. Because it does not require
training data, it is scalable: not only can it be used to find mappings between
many language pairs, but it is also effective for languages that are
under-represented and lack sufficient training samples. Another important
benefit of our approach is that it does not depend on syntactic similarity
between attribute names, and thus, it can be applied to language pairs that
have distinct morphologies. We have performed an extensive experimental
evaluation using a corpus consisting of pages in Portuguese, Vietnamese, and
English. The results show that not only does our approach obtain high precision
and recall, but it also outperforms state-of-the-art techniques. We also
present a case study which demonstrates that the multilingual mappings we
derive lead to substantial improvements in answer quality and coverage for
structured queries over Wikipedia content.Comment: VLDB201
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