4,513 research outputs found
Effect of knocking down the insulin receptor on mouse rod responses.
Previous experiments have shown that the insulin receptor (IR) is expressed in mammalian rods and contributes to the protection of photoreceptors during bright-light exposure. The role of the insulin receptor in the production of the light response is however unknown. We have used suction-electrode recording to examine the responses of rods after conditionally knocking down the insulin receptor. Our results show that these IR knock-down rods have an accelerated decay of the light response and a small decrease in sensitivity by comparison to littermate WT rods. Our results indicate that the insulin receptor may have some role in controlling the rate of rod response decay, but they exclude a major role of the insulin receptor pathway in phototransduction
Hadwiger Number and the Cartesian Product Of Graphs
The Hadwiger number mr(G) of a graph G is the largest integer n for which the
complete graph K_n on n vertices is a minor of G. Hadwiger conjectured that for
every graph G, mr(G) >= chi(G), where chi(G) is the chromatic number of G. In
this paper, we study the Hadwiger number of the Cartesian product G [] H of
graphs.
As the main result of this paper, we prove that mr(G_1 [] G_2) >= h\sqrt{l}(1
- o(1)) for any two graphs G_1 and G_2 with mr(G_1) = h and mr(G_2) = l. We
show that the above lower bound is asymptotically best possible. This
asymptotically settles a question of Z. Miller (1978).
As consequences of our main result, we show the following:
1. Let G be a connected graph. Let the (unique) prime factorization of G be
given by G_1 [] G_2 [] ... [] G_k. Then G satisfies Hadwiger's conjecture if k
>= 2.log(log(chi(G))) + c', where c' is a constant. This improves the
2.log(chi(G))+3 bound of Chandran and Sivadasan.
2. Let G_1 and G_2 be two graphs such that chi(G_1) >= chi(G_2) >=
c.log^{1.5}(chi(G_1)), where c is a constant. Then G_1 [] G_2 satisfies
Hadwiger's conjecture.
3. Hadwiger's conjecture is true for G^d (Cartesian product of G taken d
times) for every graph G and every d >= 2. This settles a question by Chandran
and Sivadasan (They had shown that the Hadiwger's conjecture is true for G^d if
d >= 3.)Comment: 10 pages, 2 figures, major update: lower and upper bound proofs have
been revised. The bounds are now asymptotically tigh
Boxicity of Series Parallel Graphs
The three well-known graph classes, planar graphs (P), series-parallel
graphs(SP) and outer planar graphs(OP) satisfy the following proper inclusion
relation: OP C SP C P. It is known that box(G) <= 3 if G belongs to P and
box(G) <= 2 if G belongs to OP. Thus it is interesting to decide whether the
maximum possible value of the boxicity of series-parallel graphs is 2 or 3. In
this paper we construct a series-parallel graph with boxicity 3, thus resolving
this question. Recently Chandran and Sivadasan showed that for any G, box(G) <=
treewidth(G)+2. They conjecture that for any k, there exists a k-tree with
boxicity k+1. (This would show that their upper bound is tight but for an
additive factor of 1, since the treewidth of any k-tree equals k.) The
series-parallel graph we construct in this paper is a 2-tree with boxicity 3
and is thus a first step towards proving their conjecture.Comment: 10 pages, 0 figure
Current-induced phase control in charged-ordered Nd0.5Ca0.5MnO3 and Pr0.6Ca0.4MnO3 crystals
Single crystals of Nd0.5Ca0.5MnO3 and Pr0.6Ca0.4MnO3 show current-induced
insulator-metal transitions at low temperatures. In addition, the
charge-ordering transition temperature decreases with increasing current. The
electroresistive ratio, defined as r0.5/rI where r0.5 is the resistivity at a
current of 0.5 mA and rI the resistivity at a given applied current, I, varies
markedly with temperature and the value of I. Thermal hysteresis observed in
Nd0.5Ca0.5MnO3 and Pr0.6Ca0.4MnO3 at the insulator-metal transition indicates
that the transition is first-order. The current-induced changes are comparable
to those induced by magnetic fields, and the insulator-metal transition in
Pr0.6Ca0.4MnO3 is accordingly associated with a larger drop in resistivity.Comment: 12 pages, 3 figures, first submitted to submitted to J. Phys. D;
applied physics on 18th march 200
Radiative Damping and Functional Differential Equations
We propose a general technique to solve the classical many-body problem with
radiative damping. We modify the short-distance structure of Maxwell
electrodynamics. This allows us to avoid runaway solutions as if we had a
covariant model of extended particles. The resulting equations of motion are
functional differential equations (FDEs) rather than ordinary differential
equations. Using recently developed numerical techniques for stiff FDEs, we
solve these equations for the one-body central force problem with radiative
damping with a view to benchmark our new approach. Our results indicate that
locally the magnitude of radiation damping may be well approximated by the
standard third-order expression but the global properties of our solutions are
dramatically different. We comment on the two body problem and applications to
quantum field theory and quantum mechanics.Comment: (v1) 6 pages, version of Nov 22, 2007 (v2) 24 pages double-spaced.
calculations and results unchanged, explanations elaborate
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Learning from noisy data and Markovian processes
We discuss more realistic models of computational learning. We extend the existing literature on the Probably Approximately Correct (PAC) framework to finite Markov chains in two directions by considering: (1) the presence of classification noise (specifically assuming that the training data has currupted labelled examples), and (2) real valued function learning. In both cases we address the key issue of determining how many training examples must be presented to the learner in the learning phase for the learning to be successful under the PAC paradigm
ANALYSIS AND INVESTIGATION OF IMAGE TRANSMISSION VIA RADIO FREQUENCY
In the present day an assortment of correspondence mediums are enhancing of innovation and make the life more less demanding. The enormous change of innovation has definitely given a positive effect to the innovation of correspondence. Moreover, in this cutting edge world information transferring turn out to be extremely urgent for all of as we all need to be quick and productive. In this way, to fulfil these necessities, Radio Frequency (RF) correspondence can be an essential option venture to overcome correspondence issues
A Novel Approach for Fabrication of Cu-Al2O3 Surface Composites by Friction Stir Processing
AbstractIn this study Copper- Al2O3 surface composites are produced with different volume percentages using micron sized particles via friction stir processing in order to enhance surface mechanical properties. Tool rotational speed and traverse speeds were fixed at 900rpm and 40mm/min respectively. The fabricated surface composites have been examined by optical microscope for dispersion of reinforcement particles and found that Al2O3 particles are uniformly dispersed in the stir zone. It is also observed that the microhardness at the higher volume percentage increases due to presence of hard Al2O3 particles. The tensile properties of the surface composites increased with the increase in the volume percentage of the Al2O3 particles. This is due to the addition of the reinforcement particles which increases the temperature of recrystallization by pinning of grain boundaries of the copper matrix and blocking the movement of the dislocations. The observed mechanical properties have been correlated with microstructure and fracture features
A Simultaneous Deterministic Perturbation Actor-Critic Algorithm with an Application to Optimal Mortgage Refinancing
Wedevelopasimulation-based,two-timescale actorcritic algorithm for infinite horizon Markov decision processes with finite state and action spaces, with a discounted reward criterion. The algorithm is of the gradient ascent type and performs a search in the space of stationary randomized policies. The algorithm uses certain simultaneous deterministic perturbation stochastic approximation (SDPSA) gradient estimates for enhanced performance. We show an application of our algorithm on a problem of mortgage refinancing. Our algorithm obtains the optimal refinancing strategies in a computationally efficient manner
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