902 research outputs found
The two-angle model and the phase diagram for Chromatin
We have studied the phase diagram for chromatin within the framework of the
two-angle model. Rather than improving existing models with finer details our
main focus of the work is getting mathematically rigorous results on the
structure, especially on the excluded volume effects and the effects on the
energy due to the long-range forces and their screening. Thus we present a
phase diagram for the allowed conformations and the Coulomb energies
Role of removals in contributing to the long-term goals of the Paris Agreement
This report delves into the multifaceted dimensions of carbon dioxide removal methods. The report discusses the role of carbon dioxide removal methods in contributing to attaining the long-term goal of the Paris Agreement and investigates best practices in the implementation of the collaborative instruments under Article 6 for their incentivisation and scaling. The present climate policy and actual decision-making are still centred on achieving net-zero carbon emissions but the long-term challenge is the inevitable reversal of the overshoot, requiring carbon removal to outpace residual emissions, leading to net negative emissions globally. The report discusses the need to assign responsibility for climate overshoot reversal in order to guarantee the viability of a global net-negative GHG economy. The report analyses and proposes ways to address risks associated with carbon removal, including mitigation deterrence, that carbon removed from the atmosphere might be re-released, carbon-leakage effects, and challenges related to monitoring mitigation outcomes. It offers recommendations based on these deliberations
Familiarization: A theory of repetition suppression predicts interference between overlapping cortical representations
Repetition suppression refers to a reduction in the cortical response to a novel stimulus that
results from repeated presentation of the stimulus. We demonstrate repetition suppression
in a well established computational model of cortical plasticity, according to which the relative
strengths of lateral inhibitory interactions are modified by Hebbian learning. We present
the model as an extension to the traditional account of repetition suppression offered by
sharpening theory, which emphasises the contribution of afferent plasticity, by instead
attributing the effect primarily to plasticity of intra-cortical circuitry. In support, repetition suppression
is shown to emerge in simulations with plasticity enabled only in intra-cortical connections.
We show in simulation how an extended ‘inhibitory sharpening theory’ can explain
the disruption of repetition suppression reported in studies that include an intermediate
phase of exposure to additional novel stimuli composed of features similar to those of the
original stimulus. The model suggests a re-interpretation of repetition suppression as a manifestation
of the process by which an initially distributed representation of a novel object
becomes a more localist representation. Thus, inhibitory sharpening may constitute a more
general process by which representation emerges from cortical re-organisation
Conformations of closed DNA
We examine the conformations of a model for a short segment of closed DNA.
The molecule is represented as a cylindrically symmetric elastic rod with a
constraint corresponding to a specification of the linking number. We obtain
analytic expressions leading to the spatial configuration of a family of
solutions representing distortions that interpolate between the circular form
of DNA and a figure-eight form that represents the onset of interwinding. We
are also able to generate knotted loops. We suggest ways to use our approach to
produce other configurations relevant to studies of DNA structure. The
stability of the distorted configurations is assessed, along with the effects
of fluctuations on the free energy of the various configurations.Comment: 39 pages in REVTEX with 14 eps figures. Submitted to Phys. Rev. E.
This manuscript updates, expands and revises, to a considerable extent, a
previously posted manuscript, entitled "Conformations of Circular DNA," which
appeared as cond-mat/970104
Sequence Effects on DNA Entropic Elasticity
DNA stretching experiments are usually interpreted using the worm-like chain
model; the persistence length A appearing in the model is then interpreted as
the elastic stiffness of the double helix. In fact the persistence length
obtained by this method is a combination of bend stiffness and intrinsic bend
effects reflecting sequence information, just as at zero stretching force. This
observation resolves the discrepancy between the value of A measured in these
experiments and the larger ``dynamic persistence length'' measured by other
means. On the other hand, the twist persistence length deduced from
torsionally-constrained stretching experiments suffers no such correction. Our
calculation is very simple and analytic; it applies to DNA and other polymers
with weak intrinsic disorder.Comment: LaTeX; postscript available at
http://dept.physics.upenn.edu/~nelson/index.shtm
Governments, decentralisation, and the risk of electoral defeat
<p>In the last three decades several countries around the world have transferred authority from their national to their regional governments. However, not all their regions have been empowered to the same degree and important differences can be observed between and within countries. Why do some regions obtain more power than others? Current literature argues that variation in the redistribution of power and resources between regions is introduced by demand. Yet these explanations are conditional on the presence of strong regionalist parties or territorial cleavages. This article proposes instead a theory that links the government’s risk of future electoral defeat with heterogeneous decentralisation, and tests its effects using data from 15 European countries and 141 regions. The results provide evidence that parties in government protect themselves against the risk of electoral defeat by selectively targeting decentralisation towards regions in which they are politically strong. The findings challenge previous research that overestimates the importance of regionalist parties while overlooking differences between regions.</p
Chromatin: a tunable spring at work inside chromosomes
This paper focuses on mechanical aspects of chromatin biological functioning.
Within a basic geometric modeling of the chromatin assembly, we give for the
first time the complete set of elastic constants (twist and bend persistence
lengths, stretch modulus and twist-stretch coupling constant) of the so-called
30-nm chromatin fiber, in terms of DNA elastic properties and geometric
properties of the fiber assembly. The computation naturally embeds the fiber
within a current analytical model known as the ``extensible worm-like rope'',
allowing a straightforward prediction of the force-extension curves. We show
that these elastic constants are strongly sensitive to the linker length, up to
1 bp, or equivalently to its twist, and might locally reach very low values,
yielding a highly flexible and extensible domain in the fiber. In particular,
the twist-stretch coupling constant, reflecting the chirality of the chromatin
fiber, exhibits steep variations and sign changes when the linker length is
varied.
We argue that this tunable elasticity might be a key feature for chromatin
function, for instance in the initiation and regulation of transcription.Comment: 38 pages 15 figure
Forces During Bacteriophage DNA Packaging and Ejection
The conjunction of insights from structural biology, solution biochemistry,
genetics and single molecule biophysics has provided a renewed impetus for the
construction of quantitative models of biological processes. One area that has
been a beneficiary of these experimental techniques is the study of viruses. In
this paper we describe how the insights obtained from such experiments can be
utilized to construct physical models of processes in the viral life cycle. We
focus on dsDNA bacteriophages and show that the bending elasticity of DNA and
its electrostatics in solution can be combined to determine the forces
experienced during packaging and ejection of the viral genome. Furthermore, we
quantitatively analyze the effect of fluid viscosity and capsid expansion on
the forces experienced during packaging. Finally, we present a model for DNA
ejection from bacteriophages based on the hypothesis that the energy stored in
the tightly packed genome within the capsid leads to its forceful ejection. The
predictions of our model can be tested through experiments in vitro where DNA
ejection is inhibited by the application of external osmotic pressure
Coordinated optimization of visual cortical maps (II) Numerical studies
It is an attractive hypothesis that the spatial structure of visual cortical
architecture can be explained by the coordinated optimization of multiple
visual cortical maps representing orientation preference (OP), ocular dominance
(OD), spatial frequency, or direction preference. In part (I) of this study we
defined a class of analytically tractable coordinated optimization models and
solved representative examples in which a spatially complex organization of the
orientation preference map is induced by inter-map interactions. We found that
attractor solutions near symmetry breaking threshold predict a highly ordered
map layout and require a substantial OD bias for OP pinwheel stabilization.
Here we examine in numerical simulations whether such models exhibit
biologically more realistic spatially irregular solutions at a finite distance
from threshold and when transients towards attractor states are considered. We
also examine whether model behavior qualitatively changes when the spatial
periodicities of the two maps are detuned and when considering more than 2
feature dimensions. Our numerical results support the view that neither minimal
energy states nor intermediate transient states of our coordinated optimization
models successfully explain the spatially irregular architecture of the visual
cortex. We discuss several alternative scenarios and additional factors that
may improve the agreement between model solutions and biological observations.Comment: 55 pages, 11 figures. arXiv admin note: substantial text overlap with
arXiv:1102.335
Coordinated optimization of visual cortical maps (I) Symmetry-based analysis
In the primary visual cortex of primates and carnivores, functional
architecture can be characterized by maps of various stimulus features such as
orientation preference (OP), ocular dominance (OD), and spatial frequency. It
is a long-standing question in theoretical neuroscience whether the observed
maps should be interpreted as optima of a specific energy functional that
summarizes the design principles of cortical functional architecture. A
rigorous evaluation of this optimization hypothesis is particularly demanded by
recent evidence that the functional architecture of OP columns precisely
follows species invariant quantitative laws. Because it would be desirable to
infer the form of such an optimization principle from the biological data, the
optimization approach to explain cortical functional architecture raises the
following questions: i) What are the genuine ground states of candidate energy
functionals and how can they be calculated with precision and rigor? ii) How do
differences in candidate optimization principles impact on the predicted map
structure and conversely what can be learned about an hypothetical underlying
optimization principle from observations on map structure? iii) Is there a way
to analyze the coordinated organization of cortical maps predicted by
optimization principles in general? To answer these questions we developed a
general dynamical systems approach to the combined optimization of visual
cortical maps of OP and another scalar feature such as OD or spatial frequency
preference.Comment: 90 pages, 16 figure
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