1,192 research outputs found
Combinatorial structures in loops
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/46265/1/209_2005_Article_BF01221880.pd
Randomly Evolving Idiotypic Networks: Structural Properties and Architecture
We consider a minimalistic dynamic model of the idiotypic network of
B-lymphocytes. A network node represents a population of B-lymphocytes of the
same specificity (idiotype), which is encoded by a bitstring. The links of the
network connect nodes with complementary and nearly complementary bitstrings,
allowing for a few mismatches. A node is occupied if a lymphocyte clone of the
corresponding idiotype exists, otherwise it is empty. There is a continuous
influx of new B-lymphocytes of random idiotype from the bone marrow.
B-lymphocytes are stimulated by cross-linking their receptors with
complementary structures. If there are too many complementary structures,
steric hindrance prevents cross-linking. Stimulated cells proliferate and
secrete antibodies of the same idiotype as their receptors, unstimulated
lymphocytes die.
Depending on few parameters, the autonomous system evolves randomly towards
patterns of highly organized architecture, where the nodes can be classified
into groups according to their statistical properties. We observe and describe
analytically the building principles of these patterns, which allow to
calculate number and size of the node groups and the number of links between
them. The architecture of all patterns observed so far in simulations can be
explained this way. A tool for real-time pattern identification is proposed.Comment: 19 pages, 15 figures, 4 table
Recherche des systèmes cycliques de triples de Steiner différents pour premier (ou puissance de nombre premier) de la forme
Sur les systèmes cycliques de triples de Steiner différents pour premier (ou puissance de nombre premier) de la forme
Light in Medicine: The Interplay of Chemistry and Light
Photodynamic therapy (PDT) has had mixed reception in the clinic, with most success stories being based on the ablative capacity of PDT. In these applications, maximal combinations of light and an exogenous photosensitiser are used to generate high levels of reactive oxygen species
(ROS) that induce cell death either directly via necrosis or indirectly via vascular damage. However, recent advances in understanding the complex role of ROS in cell signalling have revealed potential new applications for PDT. For example, the proliferative effects of low level ROS could
be applied to wound healing or immunomodulation. These effects should also be considered in the ablative applications. With the decades of chemical advances for ablative PDT at hand – including targeting mechanisms to diseased cells and subcellular locations, optimisation of light absorption,
and carrier mechanisms that modulate the therapeutic response – the application of PDT to other types of treatment could be relatively rapid. This review serves to summarise some of these developments and suggest future directions
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A Neutronic Analysis of TRU Recycling in PWRs Loaded with MOX-UE Fuel (MOX with U-235 Enriched U Support)
This report presents the results of a study dealing with the homogeneous recycling of either Pu or Pu+Np or Pu+Np+Am or Pu+Np+Am+Cm in PWRs using MOX-UE fuel, i.e. standard MOX fuel with a U235 enriched uranium support instead of the standard tail uranium (0.25%) for standard MOX fuel. This approach allows to multirecycle Pu or TRU (Pu+MA) as long as U235 is available, by keeping the Pu or TRU content in the fuel constant and at a value ensuring a negative moderator void coefficient (i.e. the loss of the coolant brings imperatively the reactor to a subcritical state). Once this value is determined, the U235 enrichment of the MOX-UE fuel is adjusted in order to reach the target burnup (51 GWd/t in this study)
Neural Architecture for Feature Binding in Visual Working Memory
Binding refers to the operation that groups different features together into objects. We propose a neural architecture for feature binding in visual working memory that employs populations of neurons with conjunction responses. We tested this model using cued recall tasks, in which subjects had to memorize object arrays composed of simple visual features (color, orientation, and location). After a brief delay, one feature of one item was given as a cue, and the observer had to report, on a continuous scale, one or two other features of the cued item. Binding failure in this task is associated with swap errors, in which observers report an item other than the one indicated by the cue. We observed that the probability of swapping two items strongly correlated with the items' similarity in the cue feature dimension, and found a strong correlation between swap errors occurring in spatial and nonspatial report. The neural model explains both swap errors and response variability as results of decoding noisy neural activity, and can account for the behavioral results in quantitative detail. We then used the model to compare alternative mechanisms for binding nonspatial features. We found the behavioral results fully consistent with a model in which nonspatial features are bound exclusively via their shared location, with no indication of direct binding between color and orientation. These results provide evidence for a special role of location in feature binding, and the model explains how this special role could be realized in the neural system.This work was supported by the Wellcome Trust
Hidden structure in the randomness of the prime number sequence?
We report a rigorous theory to show the origin of the unexpected periodic
behavior seen in the consecutive differences between prime numbers. We also
check numerically our findings to ensure that they hold for finite sequences of
primes, that would eventually appear in applications. Finally, our theory
allows us to link with three different but important topics: the
Hardy-Littlewood conjecture, the statistical mechanics of spin systems, and the
celebrated Sierpinski fractal.Comment: 13 pages, 5 figures. New section establishing connection with the
Hardy-Littlewood theory. Published in the journal where the solved problem
was first describe
A Two-Player Game of Life
We present a new extension of Conway's game of life for two players, which we
call p2life. P2life allows one of two types of token, black or white, to
inhabit a cell, and adds competitive elements into the birth and survival rules
of the original game. We solve the mean-field equation for p2life and determine
by simulation that the asymptotic density of p2life approaches 0.0362.Comment: 7 pages, 3 figure
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