142 research outputs found
Specific Absorption Rate of Assembly of Magnetite Nanoparticles with Cubic Magnetic Anisotropy
The presence of strong magnetic dipole interaction in assemblies of fractal clusters of nearly spherical magnetite nanoparticles, which arise in a biological media loaded with magnetic nanoparticles, leads to a significant decrease of the specific absorption rate of these assemblies in alternating magnetic field. However, the specific absorption rate of the assembly can be increased if the nanoparticles are covered by non magnetic shells of sufficiently large thickness comparable with the nanoparticle diameter.
Keywords: Magnetite nanoparticles, Magneto- dipole interaction, Specific absorption rate, Numerical simulatio
Dissipative Chaos in Semiconductor Superlattices
We consider the motion of ballistic electrons in a miniband of a
semiconductor superlattice (SSL) under the influence of an external,
time-periodic electric field. We use the semi-classical balance-equation
approach which incorporates elastic and inelastic scattering (as dissipation)
and the self-consistent field generated by the electron motion. The coupling of
electrons in the miniband to the self-consistent field produces a cooperative
nonlinear oscillatory mode which, when interacting with the oscillatory
external field and the intrinsic Bloch-type oscillatory mode, can lead to
complicated dynamics, including dissipative chaos. For a range of values of the
dissipation parameters we determine the regions in the amplitude-frequency
plane of the external field in which chaos can occur. Our results suggest that
for terahertz external fields of the amplitudes achieved by present-day free
electron lasers, chaos may be observable in SSLs. We clarify the nature of this
novel nonlinear dynamics in the superlattice-external field system by exploring
analogies to the Dicke model of an ensemble of two-level atoms coupled with a
resonant cavity field and to Josephson junctions.Comment: 33 pages, 8 figure
Water vapour in the atmosphere of a transiting extrasolar planet
Water is predicted to be among, if not the most abundant molecular species
after hydrogen in the atmospheres of close-in extrasolar giant planets
(hot-Jupiters) Several attempts have been made to detect water on an exoplanet,
but have failed to find compelling evidence for it or led to claims that should
be taken with caution. Here we report an analysis of recent observations of the
hot-Jupiter HD189733b taken during the transit, where the planet passed in
front of its parent star. We find that absorption by water vapour is the most
likely cause of the wavelength-dependent variations in the effective radius of
the planet at the infrared wavelengths 3.6, 5.8 and 8 microns. The larger
effective radius observed at visible wavelengths may be due to either star
variability or the presence of clouds/hazes. We explain the most recent thermal
infrared observations of the planet during secondary transit behind the star,
reporting a non-detection of water on HD189733b, as being a consequence of the
nearly isothermal vertical profile of the planet.s atmosphere. Our results show
that water is detectable on extrasolar planets using the primary transit
technique and that the infrared should be a better wavelength region than the
visible, for such searches
Task-Specific Codes for Face Recognition: How they Shape the Neural Representation of Features for Detection and Individuation
The variety of ways in which faces are categorized makes face recognition challenging for both synthetic and biological vision systems. Here we focus on two face processing tasks, detection and individuation, and explore whether differences in task demands lead to differences both in the features most effective for automatic recognition and in the featural codes recruited by neural processing.Our study appeals to a computational framework characterizing the features representing object categories as sets of overlapping image fragments. Within this framework, we assess the extent to which task-relevant information differs across image fragments. Based on objective differences we find among task-specific representations, we test the sensitivity of the human visual system to these different face descriptions independently of one another. Both behavior and functional magnetic resonance imaging reveal effects elicited by objective task-specific levels of information. Behaviorally, recognition performance with image fragments improves with increasing task-specific information carried by different face fragments. Neurally, this sensitivity to the two tasks manifests as differential localization of neural responses across the ventral visual pathway. Fragments diagnostic for detection evoke larger neural responses than non-diagnostic ones in the right posterior fusiform gyrus and bilaterally in the inferior occipital gyrus. In contrast, fragments diagnostic for individuation evoke larger responses than non-diagnostic ones in the anterior inferior temporal gyrus. Finally, for individuation only, pattern analysis reveals sensitivity to task-specific information within the right "fusiform face area".OUR RESULTS DEMONSTRATE: 1) information diagnostic for face detection and individuation is roughly separable; 2) the human visual system is independently sensitive to both types of information; 3) neural responses differ according to the type of task-relevant information considered. More generally, these findings provide evidence for the computational utility and the neural validity of fragment-based visual representation and recognition
Enantioselective Protein-Sterol Interactions Mediate Regulation of Both Prokaryotic and Eukaryotic Inward Rectifier K+ Channels by Cholesterol
Cholesterol is the major sterol component of all mammalian cell plasma membranes and plays a critical role in cell function and growth. Previous studies have shown that cholesterol inhibits inward rectifier K+ (Kir) channels, but have not distinguished whether this is due directly to protein-sterol interactions or indirectly to changes in the physical properties of the lipid bilayer. Using purified bacterial and eukaryotic Kir channels reconstituted into liposomes of controlled lipid composition, we demonstrate by 86Rb+ influx assays that bacterial Kir channels (KirBac1.1 and KirBac3.1) and human Kir2.1 are all inhibited by cholesterol, most likely by locking the channels into prolonged closed states, whereas the enantiomer, ent-cholesterol, does not inhibit these channels. These data indicate that cholesterol regulates Kir channels through direct protein-sterol interactions likely taking advantage of an evolutionarily conserved binding pocket
The 3-Base Periodicity and Codon Usage of Coding Sequences Are Correlated with Gene Expression at the Level of Transcription Elongation
Background: Gene transcription is regulated by DNA transcriptional regulatory elements, promoters and enhancers that are located outside the coding regions. Here, we examine the characteristic 3-base periodicity of the coding sequences and analyse its correlation with the genome-wide transcriptional profile of yeast. Principal Findings: The analysis of coding sequences by a new class of indices proposed here identified two different sources of 3-base periodicity: the codon frequency and the codon sequence. In exponentially growing yeast cells, the codon-frequency component of periodicity accounts for 71.9 % of the variability of the cellular mRNA by a strong association with the density of elongating mRNA polymerase II complexes. The mRNA abundance explains most of the correlation between the codon-frequency component of periodicity and protein levels. Furthermore, pyrimidine-ending codons of the four-fold degenerate small amino acids alanine, glycine and valine are associated with genes with double the transcription rate of those associated with purine-ending codons. Conclusions: We demonstrate that the 3-base periodicity of coding sequences is higher than expected by the codon usage frequency (CUF) and that its components, associated with codon bias and amino acid composition, are correlated with gene expression, principally at the level of transcription elongation. This indicates a role of codon sequences in maximising the transcription efficiency in exponentially growing yeast cells. Moreover, the results contrast with the common Darwinia
Fitness Landscape Transformation through a Single Amino Acid Change in the Rho Terminator
Regulatory networks allow organisms to match adaptive behavior to the complex and dynamic contingencies of their native habitats. Upon a sudden transition to a novel environment, the mismatch between the native behavior and the new niche provides selective pressure for adaptive evolution through mutations in elements that control gene expression. In the case of core components of cellular regulation and metabolism, with broad control over diverse biological processes, such mutations may have substantial pleiotropic consequences. Through extensive phenotypic analyses, we have characterized the systems-level consequences of one such mutation (rho*) in the global transcriptional terminator Rho of Escherichia coli. We find that a single amino acid change in Rho results in a massive change in the fitness landscape of the cell, with widely discrepant fitness consequences of identical single locus perturbations in rho* versus rhoWT backgrounds. Our observations reveal the extent to which a single regulatory mutation can transform the entire fitness landscape of the cell, causing a massive change in the interpretation of individual mutations and altering the evolutionary trajectories which may be accessible to a bacterial population
Top-Down Feedback in an HMAX-Like Cortical Model of Object Perception Based on Hierarchical Bayesian Networks and Belief Propagation
PubMed ID: 2313976
The Generation of Promoter-Mediated Transcriptional Noise in Bacteria
Noise in the expression of a gene produces fluctuations in the concentration
of the gene product. These fluctuations can interfere with optimal function or
can be exploited to generate beneficial diversity between cells; gene
expression noise is therefore expected to be subject to evolutionary pressure.
Shifts between modes of high and low rates of transcription initiation at a
promoter appear to contribute to this noise both in eukaryotes and prokaryotes.
However, models invoked for eukaryotic promoter noise such as stable activation
scaffolds or persistent nucleosome alterations seem unlikely to apply to
prokaryotic promoters. We consider the relative importance of the steps
required for transcription initiation. The 3-step transcription initiation
model of McClure is extended into a mathematical model that can be used to
predict consequences of additional promoter properties. We show in principle
that the transcriptional bursting observed at an E. coli promoter by Golding et
al. (2005) can be explained by stimulation of initiation by the negative
supercoiling behind a transcribing RNA polymerase (RNAP) or by the formation of
moribund or dead-end RNAP-promoter complexes. Both mechanisms are tunable by
the alteration of promoter kinetics and therefore allow the optimization of
promoter mediated noise.Comment: 4 figures, 1 table. Supplemental materials are also include
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