614 research outputs found
Replica Field Theory for Deterministic Models (II): A Non-Random Spin Glass with Glassy Behavior
We introduce and study a model which admits a complex landscape without
containing quenched disorder. Continuing our previous investigation we
introduce a disordered model which allows us to reconstruct all the main
features of the original phase diagram, including a low spin glass phase
and a complex dynamical behavior.Comment: 35 pages with uu figures, Roma 102
Low autocorrelated multi-phase sequences
The interplay between the ground state energy of the generalized Bernasconi
model to multi-phase, and the minimal value of the maximal autocorrelation
function, , , is examined analytically and
the main results are: (a) The minimal value of is
significantly smaller than the typical value for random
sequences . (b) over all sequences
of length N is obtained in an energy which is about 30% above the ground-state
energy of the generalized Bernasconi model, independent of the number of phases
m. (c) The maximal merit factor grows linearly with m. (d) For a
given N, indicating that for m=N,
, i.e. a Barker code exits. The analytical results are
confirmed by simulations.Comment: 4 pages, 4 figure
Dynamical Behaviour of Low Autocorrelation Models
We have investigated the nature of the dynamical behaviour in low
autocorrelation binary sequences. These models do have a glass transition
of a purely dynamical nature. Above the glass transition the dynamics is not
fully ergodic and relaxation times diverge like a power law with close to . Approaching the glass transition
the relaxation slows down in agreement with the first order nature of the
dynamical transition. Below the glass transition the system exhibits aging
phenomena like in disordered spin glasses. We propose the aging phenomena as a
precise method to determine the glass transition and its first order nature.Comment: 19 pages + 14 figures, LateX, figures uuencoded at the end of the
fil
On the ground states of the Bernasconi model
The ground states of the Bernasconi model are binary +1/-1 sequences of
length N with low autocorrelations. We introduce the notion of perfect
sequences, binary sequences with one-valued off-peak correlations of minimum
amount. If they exist, they are ground states. Using results from the
mathematical theory of cyclic difference sets, we specify all values of N for
which perfect sequences do exist and how to construct them. For other values of
N, we investigate almost perfect sequences, i.e. sequences with two-valued
off-peak correlations of minimum amount. Numerical and analytical results
support the conjecture that almost perfect sequences do exist for all values of
N, but that they are not always ground states. We present a construction for
low-energy configurations that works if N is the product of two odd primes.Comment: 12 pages, LaTeX2e; extended content, added references; submitted to
J.Phys.
Landscape statistics of the low autocorrelated binary string problem
The statistical properties of the energy landscape of the low autocorrelated
binary string problem (LABSP) are studied numerically and compared with those
of several classic disordered models. Using two global measures of landscape
structure which have been introduced in the Simulated Annealing literature,
namely, depth and difficulty, we find that the landscape of LABSP, except
perhaps for a very large degeneracy of the local minima energies, is
qualitatively similar to some well-known landscapes such as that of the
mean-field 2-spin glass model. Furthermore, we consider a mean-field
approximation to the pure model proposed by Bouchaud and Mezard (1994, J.
Physique I France 4 1109) and show both analytically and numerically that it
describes extremely well the statistical properties of LABSP
Metastable States in High Order Short-Range Spin Glasses
The mean number of metastable states in higher order short-range spin
glasses is estimated analytically using a variational method introduced by
Tanaka and Edwards for very large coordination numbers. For lattices with small
connectivities, numerical simulations do not show any significant dependence on
the relative positions of the interacting spins on the lattice, indicating thus
that these systems can be described by a few macroscopic parameters. As an
extremely anisotropic model we consider the low autocorrelated binary spin
model and we show through numerical simulations that its landscape has an
exceptionally large number of local optima
Complement Activation Determines the Therapeutic Activity of Rituximab In Vivo
Rituximab is an anti-CD20 chimeric mAb effective for the treatment of B-NHL. It can lyse lymphoma cells in vitro through both C- and Ab-dependent cellular cytotoxicity. The mechanism of action of rituximab in vivo is however still unclear. We have set up a new in vivo model in nonimmunodeficient mice by stable transduction of the human CD20 cDNA in the murine lymphoma line EL4. Animals injected i.v. with the EL4-CD20+ lymphoma cells died within 30 days with evident liver, spleen, and bone marrow involvement, confirmed by immunohistochemistry and PCR analysis. A single injection of rituximab or the murine anti-CD20 Ab 1F5, given i.p. 1 day after the tumor, cured 100% of the animals. Indeed, at week 4 after tumor cell inoculation, CD20+ cells were undetectable in all organs analyzed in rituximab-treated animals, as determined by immunohistochemistry and PCR. Rituximab had no direct effect on tumor growth in vitro. Depletion of either NK cells or neutrophils or both in tumor-injected animals did not affect the therapeutic activity of the drug. Similarly, rituximab was able to eradicate tumor cells in athymic nude mice, suggesting that its activity is T cell independent. In contrast, the protective activity of rituximab or the 1F5 Ab was completely abolished in syngeneic knockout animals lacking C1q, the first component of the classical pathway of C (C1qa−/−). These data demonstrate that C activation is fundamental for rituximab therapeutic activity in vivo
Generation of unpredictable time series by a Neural Network
A perceptron that learns the opposite of its own output is used to generate a
time series. We analyse properties of the weight vector and the generated
sequence, like the cycle length and the probability distribution of generated
sequences. A remarkable suppression of the autocorrelation function is
explained, and connections to the Bernasconi model are discussed. If a
continuous transfer function is used, the system displays chaotic and
intermittent behaviour, with the product of the learning rate and amplification
as a control parameter.Comment: 11 pages, 14 figures; slightly expanded and clarified, mistakes
corrected; accepted for publication in PR
Perspectives of Frequent Users of Emergency Departments on a Case Management Intervention: A Qualitative Study.
Effective management of frequent users of emergency departments (FUED) remains challenging. Case management (CM) has shown to improve patient quality of life while reducing ED visits and associated costs. However, little data is available on FUED's perception of CM outside of North America to further improve CM implementation.
Explore the FUED's perspectives about CM in Switzerland.
Semi-structured qualitative interviews eliciting FUED's experiences of CM were conducted among 20 participants (75% female; mean age = 40.6, SD = 12.8) across 6 hospital ED.
Inductive content analysis.
Most participants were satisfied with the CM program. In particular, FUEDs identified the working relationship with the case manager (cm) as key for positive outcomes, and also valued the holistic evaluation of their needs and resources. Overall, patients reported increased motivation and health literacy, as well as facilitated interactions within the healthcare system. Conversely, a small number of participants reported negative views on CM (ie, stigmatization, lack of concrete outcomes). Barriers identified were cm's lack of time, COVID-19's negative impact on CM organization, as well as lack of clarity on the objectives of CM. FUED perceived CM as useful, in particular establishing a working relationship with the cm. Our results suggest that CM can be further improved by (1) professionals remaining non-judgmental toward FUED, (2) making sure the aims and objectives of the CM are understood by the participants, and (3) allowing more time for the cm to carry out their work
The ALHAMBRA photometric system
This paper presents the characterization of the optical range of the ALHAMBRA
photometric system, a 20 contiguous, equal-width, medium-band CCD system with
wavelength coverage from 3500A to 9700A. The photometric description of the
system is done by presenting the full response curve as a product of the
filters, CCD and atmospheric transmission curves, and using some first and
second order moments of this response function. We also introduce the set of
standard stars that defines the system, formed by 31 classic spectrophotometric
standard stars which have been used in the calibration of other known
photometric systems, and 288 stars, flux calibrated homogeneously, from the
Next Generation Spectral Library (NGSL). Based on the NGSL, we determine the
transformation equations between Sloan Digital Sky Survey (SDSS) ugriz
photometry and the ALHAMBRA photometric system, in order to establish some
relations between both systems. Finally we develop and discuss a strategy to
calculate the photometric zero points of the different pointings in the
ALHAMBRA project.Comment: Astronomical Journal on the 14th of January 201
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