2,038 research outputs found
Effects of surface roughness on the paramagnetic response of small unconventional superconductors
We theoretically study effects of surface roughness on the magnetic response
of small unconventional superconductors by solving the Eilenberger equation for
the quassiclassical Green function and the Maxwell equation for the vector
potential simultaneously and self-consistently. The paramagnetic phase of
spin-singlet -wave superconducting disks is drastically suppressed by the
surface roughness, whereas that of spin-triplet -wave disks is robust even
in the presence of the roughness. Such difference derives from the orbital
symmetry of paramagnetic odd-frequency Cooper pairs appearing at the surface of
disks. The orbital part of the paramagnetic pairing correlation is -wave
symmetry in the -wave disks, whereas it is -wave symmetry in the -wave
ones. Calculating the free-energy, we also confirm that the paramagnetic state
is more stable than the normal state, which indicates a possibility of
detecting the paramagnetic effect in experiments. Indeed our results are
consistent with an experimental finding on high- thin films.Comment: 11 pages, 10 figure
Drive Video Analysis for the Detection of Traffic Near-Miss Incidents
Because of their recent introduction, self-driving cars and advanced driver
assistance system (ADAS) equipped vehicles have had little opportunity to
learn, the dangerous traffic (including near-miss incident) scenarios that
provide normal drivers with strong motivation to drive safely. Accordingly, as
a means of providing learning depth, this paper presents a novel traffic
database that contains information on a large number of traffic near-miss
incidents that were obtained by mounting driving recorders in more than 100
taxis over the course of a decade. The study makes the following two main
contributions: (i) In order to assist automated systems in detecting near-miss
incidents based on database instances, we created a large-scale traffic
near-miss incident database (NIDB) that consists of video clip of dangerous
events captured by monocular driving recorders. (ii) To illustrate the
applicability of NIDB traffic near-miss incidents, we provide two primary
database-related improvements: parameter fine-tuning using various near-miss
scenes from NIDB, and foreground/background separation into motion
representation. Then, using our new database in conjunction with a monocular
driving recorder, we developed a near-miss recognition method that provides
automated systems with a performance level that is comparable to a human-level
understanding of near-miss incidents (64.5% vs. 68.4% at near-miss recognition,
61.3% vs. 78.7% at near-miss detection).Comment: Accepted to ICRA 201
Effects of the phase coherence on the local density of states in superconducting proximity structures
We theoretically study the local density of states in superconducting
proximity structure where two superconducting terminals are attached to a side
surface of a normal-metal wire. Using the quasiclassical Green's function
method, the energy spectrum is obtained for both of spin-singlet -wave and
spin-triplet -wave junctions. In both of the cases, the decay length of the
proximity effect at the zero temperature is limited by a depairing effect due
to inelastic scatterings. In addition to the depairing effect, in -wave
junctions, the decay length depends sensitively on the transparency at the
junction interfaces, which is a unique property to odd-parity superconductors
where the anomalous proximity effect occurs.Comment: 11 pages, 9 figure
Studies on Sensory Deprivation: II. Part 2. Effects of Sensory Deprivation upon Perceptual and Motor Functions (2)
A Simple Membrane Computing Method for Simulating Bio-Chemical Reactions
There are two formalisms for simulating spatially homogeneous chemical system; the deterministic approach, usually based on differential equations (reaction rate equations) and the stochastic approach which is based on a single differential-difference equation (the master equation). The stochastic approach has a firmer physical basis than the deterministic approach, but the master equation is often mathematically intractable. Thus, a method was proposed to make exact numerical calculations within the framework of the stochastic formulation without having to deal with the master equation directly. However, its drawback remains in great amount of computer time that is often required to simulate a desired amount of system time. A novel method that we propose is Deterministic Abstract Rewriting System on Multisets (DARMS), which is a deterministic approach based on an approximate procedure of an exact stochastic method. DARMS can produce significant gains in simulation speed with acceptable losses in accuracy. DARMS is a class of P Systems in which reaction rules are applied in parallel and deterministically. The feasibility and utility of DARMS are demonstrated by applying it to the Oregonator, which is a well-known model of the Belousov-Zhabotinskii (BZ) reaction. We also consider 1-dimensional and 2-dimensional cellular automata composed of DARMS and confirm that it can exhibit typical pattern formations of the BZ reaction. Since DARMS is a deterministic approach, it ignores the inherent fluctuations and correlations in chemical reactions; they are not so significant in spatially homogeneous chemical reactions but significant in bio-chemical systems. Thus, we also propose a stochastic approach, Stochastic ARMS (SARMS); SARMS is not an exact stochastic approach, but an approximate procedure of the exact stochastic method
Natural Computing and Beyond
This book contains the joint proceedings of the Winter School of Hakodate (WSH) 2011 held in Hakodate, Japan, March 15–16, 2011, and the 6th International Workshop on Natural Computing (6th IWNC) held in Tokyo, Japan, March 28–30, 2012, organized by the Special Interest Group of Natural Computing (SIG-NAC), the Japanese Society for Artificial Intelligence (JSAI). This volume compiles refereed contributions to various aspects of natural computing, ranging from computing with slime mold, artificial chemistry, eco-physics, and synthetic biology, to computational aesthetics
New Constructions for Query-Efficient Locally Decodable Codes of Subexponential Length
A -locally decodable code
is an error-correcting code that encodes each message
to
and has the following property: For any such that
and each , the symbol
of can be recovered with probability at least by
a randomized decoding algorithm looking only at coordinates of .
The efficiency of a -locally decodable code is measured by the code length and the number of
queries. For any -query locally decodable code ,
the code length is conjectured to be exponential of , however, this was
disproved. Yekhanin [In Proc. of STOC, 2007] showed that there exists a 3-query
locally decodable code such that
assuming that the number of Mersenne primes is
infinite. For a 3-query locally decodable code ,
Efremenko [ECCC Report No.69, 2008] reduced the code length further to
, and also showed that for any
integer , there exists a -query locally decodable code such that and . In this paper, we present a query-efficient locally decodable
code and show that for any integer , there exists a -query locally
decodable code such that
and .Comment: 13 pages, 1 figure, 2 table
Nonlinear MHD simulation of core plasma collapse events in Wendelstein 7-X
Three-dimensional nonlinear MHD simulations study the core collapse events observed in a stellarator experiment, Wendelstein 7-X. In the low magnetic shear configuration like the Wendelstein 7-X, the rotational transform profile is very sensitive to the toroidal current density. The 3D equilibrium with localized toroidal current density is studied. If the toroidal current density follows locally in the middle of the minor radius, the rotational transform is also changed locally. Sometimes, the magnetic topology changes due to appearing the magnetic island. A full three-dimensional nonlinear MHD code studies the nonlinear behaviors of the MHD instability. It was found that the following sequence. At first, the high-n ballooning-type mode structure appears in the plasma core, and then the mode linearly grows. The high-n ballooning modes nonlinearly couple and saturate. The mode structure changes to the low-n mode. The magnetic field structure becomes strongly stochastic into the plasma core due to the nonlinear coupling in that phase. Finally, the plasma pressure diffuses along the stochastic field lines, and then the core plasma pressure drops. This is a crucial result to interpret the core collapse event by strong nonlinear coupling.Peer ReviewedPostprint (published version
A novel replication-independent histone H2a gene in mouse
BACKGROUND: An uncharacterized histone H2a-coding transcript (E130307C13) has been cloned from a mouse full-length cDNA library. This transcript is encoded on chromosome 6, approximately 4 kb upstream of a histone H4 gene, Hist4h4. The proteins encoded by this transcript and the human H2afj mRNA isoform-2 have the highest amino acid similarity. In this paper, we characterize it from the expression pattern given by quantitative RT-PCR. RESULTS: Quantitative RT-PCR indicated that the gene that encodes E130307C13 (E130307C13) is regulated in a replication-independent manner, and therefore it is H2afj. Certainly, H2afj transcript lacks a stem-loop structure at the 3'-UTR but contains a poly (A) signal. In addition, its promoter region has a different structure from those of the replication-dependent histone H2a genes. CONCLUSION: The bioinformatics imply that E130307C13 is a replication-independent H2a gene. In addition, quantitative RT-PCR analysis shows that it is replication-independent. Thus, it is H2afj, a novel replication-independent H2a gene in mouse
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