6,895 research outputs found
Inferring the Rate-Length Law of Protein Folding
We investigate the rate-length scaling law of protein folding, a key
undetermined scaling law in the analytical theory of protein folding. We
demonstrate that chain length is a dominant factor determining folding times,
and that the unambiguous determination of the way chain length corre- lates
with folding times could provide key mechanistic insight into the folding
process. Four specific proposed laws (power law, exponential, and two stretched
exponentials) are tested against one an- other, and it is found that the power
law best explains the data. At the same time, the fit power law results in
rates that are very fast, nearly unreasonably so in a biological context. We
show that any of the proposed forms are viable, conclude that more data is
necessary to unequivocally infer the rate-length law, and that such data could
be obtained through a small number of protein folding experiments on large
protein domains
Development of Comprehensive Devnagari Numeral and Character Database for Offline Handwritten Character Recognition
In handwritten character recognition, benchmark database plays an important
role in evaluating the performance of various algorithms and the results
obtained by various researchers. In Devnagari script, there is lack of such
official benchmark. This paper focuses on the generation of offline benchmark
database for Devnagari handwritten numerals and characters. The present work
generated 5137 and 20305 isolated samples for numeral and character database,
respectively, from 750 writers of all ages, sex, education, and profession. The
offline sample images are stored in TIFF image format as it occupies less
memory. Also, the data is presented in binary level so that memory requirement
is further reduced. It will facilitate research on handwriting recognition of
Devnagari script through free access to the researchers.Comment: 5 pages, 8 figures, journal pape
Max-min Fairness in 802.11 Mesh Networks
In this paper we build upon the recent observation that the 802.11 rate
region is log-convex and, for the first time, characterise max-min fair rate
allocations for a large class of 802.11 wireless mesh networks. By exploiting
features of the 802.11e/n MAC, in particular TXOP packet bursting, we are able
to use this characterisation to establish a straightforward, practically
implementable approach for achieving max-min throughput fairness. We
demonstrate that this approach can be readily extended to encompass time-based
fairness in multi-rate 802.11 mesh networks
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