Fujiyama

Definitions

  • FUJIYAMA
    FUJIYAMA
  • WordNet 3.6
    • n Fujiyama an extinct volcano in south central Honshu that is the highest peak in Japan; last erupted in 1707; famous for its symmetrical snow-capped peak; a sacred mountain and site for pilgrimages
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Usage

In literature:

Far the most famous of all the Japanese mountains, however, is that named Fuji-san, but commonly termed in English Fujiyama or Fusiyama.
"The San Francisco Calamity" by Various
The peak of Fujiyama glows in the sunlight.
"A Second Book of Operas" by Henry Edward Krehbiel
An ascent had to be made to clear the Japanese mountain of Fujiyama.
"Rubur the Conqueror" by Jules Verne
I once saw a book of a hundred pictures of Fujiyama, each with a new foreground.
"From Pole to Pole" by Sven Anders Hedin
It looked just like the well-known Fujiyama of Japan, only more regular in its sloping lines.
"Across Unknown South America" by Arnold Henry Savage Landor
Fujiyama rose before us in the distance.
"Travels in the Far East" by Ellen Mary Hayes Peck
We had been there two weeks and Fujiyama was not to be seen.
"Flash-lights from the Seven Seas" by William L. Stidger
It was brighter, far brighter, than is the sacred cone of Fujiyama in the vivid day of Japan.
"Astounding Stories, April, 1931" by Various
Fujiyama is the keynote of Japan.
"From Sea to Sea" by Rudyard Kipling
There is many another towering mountain with its set of pilgrims, but none can vie with Fujiyama for majestic grace.
"The Japanese Spirit" by Yoshisaburo Okakura
For a long time she sat gazing at the white peak of Fujiyama on the Japanese scroll.
"Molly Brown's Junior Days" by Nell Speed
It was as filmy as the clouds that rest on Fujiyama, the sacred mountain of Otoyo's country.
"Molly Brown's College Friends" by Nell Speed
In 1887 the writer ascended the summit of Fujiyama, Japan, 12,400 feet elevation.
"Astronomy" by David Todd
The rosy light from Fujiyama spreads over the sky.
"The Complete Opera Book" by Gustav Kobbé
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In news:

Fujiyama company files bankruptcy.
The Sunshine Foundation sponsors philanthropy courses at four universities, and Buffett first met Fujiyama after meeting with one such class at the University of Mary Washington.
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In science:

Fitness landscapes will generally be more complicated than a Fujiyama landscape and have several peaks due to conflicting constraints.
Biological Evolution and Statistical Physics
In the case K = 0, we have a Fujiyama landscape with a single maximum.
Biological Evolution and Statistical Physics
Let us first consider a multiplicative Fujiyama landscape and show that no error threshold exists in this case.
Biological Evolution and Statistical Physics
We have already discussed the example of the multiplicative Fujiyama landscape.
Biological Evolution and Statistical Physics
However, for the multiplicative Fujiyama landscape there is no delocalization phase transition, although there exists a mutation rate beyond which the tip of the peak is occupied only due to rare back mutations.
Biological Evolution and Statistical Physics
The model usually employed to illustrate this process is a multiplicative Fujiyama landscape, where all genotypes with n mutations away from the peak have the same fitness Wn = (1 − s)n , with s being small.
Biological Evolution and Statistical Physics
Second, if the genome length N is finite, the ratchet can be brought to a halt even on the Fujiyama landscape, because the rate of back mutations increases with increasing k .
Biological Evolution and Statistical Physics
Very generally, one can show on the Fujiyama landscape that if there is a small fraction p of favourable mutations, they will accumulate if p is larger than a threshold value p∗ , while disadvantageous mutations will accumulate for p < p∗ .
Biological Evolution and Statistical Physics
In the previous paragraphs, we have considered the situation of a finite population gliding down a Fujiyama peak.
Biological Evolution and Statistical Physics
For Fujiyama peaks of finite height, and also for the sharp-peak landscape, one can expect that a finite population has a non-vanishing probability of escaping the peak altogether, even for parameter values for which it would remain centered around the peak in the infinite population size limit.
Biological Evolution and Statistical Physics
In the following sections, we apply Eq. (55) to analyze in detail some examples of microscopic fitness functions: The sharp peak landscape, a Fujiyama landscape, a quadratic fitness landscape, and a quartic fitness landscape.
Solution of the Crow-Kimura and Eigen models for alphabets of arbitrary size by Schwinger spin coherent states
Fujiyama et al. (2007) demonstrates the pinning of quantized vortices by solid spheres, an interaction explored further by Kivotides et al. (2008).
The journey of hydrogen to quantized vortex cores
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