988 research outputs found
Markets Adapt to China's Changing Diet
China, meat, consumption, prices, Food Consumption/Nutrition/Food Safety, International Relations/Trade, Q1, F1, P2,
How melatonin interacts with lipid bilayers: a study by fluorescence and ESR spectroscopies
AbstractESR spectra of spin labels placed at the membrane surface and at different depths of the bilayer core, and melatonin fluorescence in the presence of lipid vesicles, suggest an average shallow position for the hormone in the membrane. However, according to the melatonin ability to cross lipid bilayers, nitroxides placed deep in the bilayer were able to quench the melatonin fluorescence. Melatonin membrane partition coefficients were calculated for bilayers in different packing states, and similar and rather high values were found. The data presented here may be quite important to the understanding of melatonin physiological actions at the membrane level
Neurogenic muscular atrophy and low density of large myelinated fibres of sural nerve in chorea-acanthocytosis
In three cases of chorea-acanthocytosis (acanthocytosis and neurological disease, or familial degeneration of the basal ganglia with acanthocytosis), biopsies of short peroneal muscles and sural nerves were studied histologically. The muscles showed groups of atrophic fibres with clumping of sarcolemmal nuclei in all cases. It was concluded that neurogenic muscular atrophy should be included as one of the main pathological findings in chorea-acanthocytosis. The sural nerves showed a small number of large myelinated fibres in two cases. This finding remains to be confirmed in other cases
The influence of e-learning towards metacognitive enhancement in mathematical problem solving
This research aims to observe the influence of e-learning on metacognitive enhancement in mathematical problem-solving. The e-learning environment would encourage students to play more active roles in their learning. This research involves the students of Mechanical Engineering Department enrolled in the subject of Engineering Mathematics 4. It was found that the elearning method gives positive impacts on students' learning process. Therefore, it is suggested for educators to apply this method in their teaching. This is a suitable approach for students to be involved actively during their learning process. The lecturers should be more creative and innovative to vary their elearning to be lively, interesting, suitable, challenging while being in line with the students' cognitive development to provide comprehensible input
Scaling of Star Polymers with one to 80 Arms
We present large statistics simulations of 3-dimensional star polymers with
up to arms, and with up to 4000 monomers per arm for small values of
. They were done for the Domb-Joyce model on the simple cubic lattice. This
is a model with soft core exclusion which allows multiple occupancy of sites
but punishes each same-site pair of monomers with a Boltzmann factor . We
use this to allow all arms to be attached at the central site, and we use the
`magic' value to minimize corrections to scaling. The simulations are
made with a very efficient chain growth algorithm with resampling, PERM,
modified to allow simultaneous growth of all arms. This allows us to measure
not only the swelling (as observed from the center-to-end distances), but also
the partition sum. The latter gives very precise estimates of the critical
exponents . For completeness we made also extensive simulations of
linear (unbranched) polymers which give the best estimates for the exponent
.Comment: 7 pages, 7 figure
Coefficient of normal restitution of viscous particles and cooling rate of granular gases
We investigate the cooling rate of a gas of inelastically interacting
particles. When we assume velocity dependent coefficients of restitution the
material cools down slower than with constant restitution. This behavior might
have large influence to clustering and structure formation processes.Comment: 3 figures, Phys. Rev. E (in press
A review of Monte Carlo simulations of polymers with PERM
In this review, we describe applications of the pruned-enriched Rosenbluth
method (PERM), a sequential Monte Carlo algorithm with resampling, to various
problems in polymer physics. PERM produces samples according to any given
prescribed weight distribution, by growing configurations step by step with
controlled bias, and correcting "bad" configurations by "population control".
The latter is implemented, in contrast to other population based algorithms
like e.g. genetic algorithms, by depth-first recursion which avoids storing all
members of the population at the same time in computer memory. The problems we
discuss all concern single polymers (with one exception), but under various
conditions: Homopolymers in good solvents and at the point, semi-stiff
polymers, polymers in confining geometries, stretched polymers undergoing a
forced globule-linear transition, star polymers, bottle brushes, lattice
animals as a model for randomly branched polymers, DNA melting, and finally --
as the only system at low temperatures, lattice heteropolymers as simple models
for protein folding. PERM is for some of these problems the method of choice,
but it can also fail. We discuss how to recognize when a result is reliable,
and we discuss also some types of bias that can be crucial in guiding the
growth into the right directions.Comment: 29 pages, 26 figures, to be published in J. Stat. Phys. (2011
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