577 research outputs found
The evaluation of the rolling moments induced by wraparound fins
A possible reason is suggested for the induced rolling moments occurring on wraparound-fin configurations in subsonic flight at zero angle of attack. The subsonic potential flow over the configuration at zero incidence is solved numerically. The body is simulated by a distribution of sources along its axis, and the fins are described by a vortex-lattice method. It is shown that rolling moments can be induced on the antisymmetric fins by the radial flow generated at the base of the configuration, either over the converging separated wake, or over the diverging plume of a rocket motor
Excitonic Funneling in Extended Dendrimers with Non-Linear and Random Potentials
The mean first passage time (MFPT) for photoexcitations diffusion in a
funneling potential of artificial tree-like light-harvesting antennae
(phenylacetylene dendrimers with generation-dependent segment lengths) is
computed. Effects of the non-linearity of the realistic funneling potential and
slow random solvent fluctuations considerably slow down the center-bound
diffusion beyond a temperature-dependent optimal size. Diffusion on a
disordered Cayley tree with a linear potential is investigated analytically. At
low temperatures we predict a phase in which the MFPT is dominated by a few
paths.Comment: 4 pages, 4 figures, To be published in Phys. Rev. Let
Disorder and Funneling Effects on Exciton Migration in Tree-Like Dendrimers
The center-bound excitonic diffusion on dendrimers subjected to several types
of non-homogeneous funneling potentials, is considered. We first study the
mean-first passage time (MFPT) for diffusion in a linear potential with
different types of correlated and uncorrelated random perturbations. Increasing
the funneling force, there is a transition from a phase in which the MFPT grows
exponentially with the number of generations , to one in which it does so
linearly. Overall the disorder slows down the diffusion, but the effect is much
more pronounced in the exponential compared to the linear phase. When the
disorder gives rise to uncorrelated random forces there is, in addition, a
transition as the temperature is lowered. This is a transition from a
high- regime in which all paths contribute to the MFPT to a low- regime
in which only a few of them do. We further explore the funneling within a
realistic non-linear potential for extended dendrimers in which the dependence
of the lowest excitonic energy level on the segment length was derived using
the Time-Dependent Hatree-Fock approximation. Under this potential the MFPT
grows initially linearly with but crosses-over, beyond a molecular-specific
and -dependent optimal size, to an exponential increase. Finally we consider
geometrical disorder in the form of a small concentration of long connections
as in the {\it small world} model. Beyond a critical concentration of
connections the MFPT decreases significantly and it changes to a power-law or
to a logarithmic scaling with , depending on the strength of the funneling
force.Comment: 13 pages, 9 figure
Nitrogen-vacancy singlet manifold ionization energy
The singlet states of the negatively-charged nitrogen-vacancy centers in
diamond play a key role in its optical spin control and readout. In this work,
the hitherto unknown ionization energy of the singlet is measured
experimentally and found to be between 1.91-2.25 eV. This is obtained by
analyzing photoluminescence measurements incorporating spin control and NV
charge state differentiation, along with simulations based on the
nitrogen-vacancy's master equation. This work establishes a protocol for a more
accurate estimate of this ionization energy, which can possibly lead to
improved read-out methods
Improved Image Fusion in PET/CT Using Hybrid Image Reconstruction and Super-Resolution
Purpose. To provide PET/CT image fusion with an improved PET resolution and better contrast ratios than standard reconstructions.
Method. Using a super-resolution algorithm, several PET acquisitions were combined to improve the resolution. In addition, functional PET data was smoothed with a hybrid computed tomography algorithm (HCT), in which anatomical edge information taken from the CT was employed to retain sharper edges. The combined HCT and super-resolution technique were evaluated in phantom and patient studies using a clinical PET scanner. Results. In the phantom studies, 3 mm18F-FDG sources were resolved. PET contrast ratios
improved (average: 54%, range: 45%â69%) relative to the standard reconstructions. In the patient study, target-to-background ratios also improved (average: 34%, range: 17%â47%).
Given corresponding anatomical borders, sharper edges were depicted.
Conclusion. A new method incorporating super-resolution and HCT for
fusing PET and CT images has been developed and shown to provide higher-resolution metabolic images
Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features
Imaging of facial affects may be used to measure psychophysiological
attributes of children through their adulthood, especially for monitoring
lifelong conditions like Autism Spectrum Disorder. Deep convolutional neural
networks have shown promising results in classifying facial expressions of
adults. However, classifier models trained with adult benchmark data are
unsuitable for learning child expressions due to discrepancies in
psychophysical development. Similarly, models trained with child data perform
poorly in adult expression classification. We propose domain adaptation to
concurrently align distributions of adult and child expressions in a shared
latent space to ensure robust classification of either domain. Furthermore, age
variations in facial images are studied in age-invariant face recognition yet
remain unleveraged in adult-child expression classification. We take
inspiration from multiple fields and propose deep adaptive FACial Expressions
fusing BEtaMix SElected Landmark Features (FACE-BE-SELF) for adult-child facial
expression classification. For the first time in the literature, a mixture of
Beta distributions is used to decompose and select facial features based on
correlations with expression, domain, and identity factors. We evaluate
FACE-BE-SELF on two pairs of adult-child data sets. Our proposed FACE-BE-SELF
approach outperforms adult-child transfer learning and other baseline domain
adaptation methods in aligning latent representations of adult and child
expressions
Single Stranded DNA Translocation Through A Nanopore: A Master Equation Approach
We study voltage driven translocation of a single stranded (ss) DNA through a
membrane channel. Our model, based on a master equation (ME) approach,
investigates the probability density function (pdf) of the translocation times,
and shows that it can be either double or mono-peaked, depending on the system
parameters. We show that the most probable translocation time is proportional
to the polymer length, and inversely proportional to the first or second power
of the voltage, depending on the initial conditions. The model recovers
experimental observations on hetro-polymers when using their properties inside
the pore, such as stiffness and polymer-pore interaction.Comment: 7 pages submitted to PR
Analysis of 3.5 Million SARS-CoV-2 Sequences Reveals Unique Mutational Trends with Consistent Nucleotide and Codon Frequencies
Background: Since the onset of the SARS-CoV-2 pandemic, bioinformatic analyses have been performed to understand the nucleotide and synonymous codon usage features and mutational patterns of the virus. However, comparatively few have attempted to perform such analyses on a considerably large cohort of viral genomes while organizing the plethora of available sequence data for a month-by-month analysis to observe changes over time. Here, we aimed to perform sequence composition and mutation analysis of SARS-CoV-2, separating sequences by gene, clade, and timepoints, and contrast the mutational profile of SARS-CoV-2 to other comparable RNA viruses.Methods: Using a cleaned, filtered, and pre-aligned dataset of over 3.5 million sequences downloaded from the GISAID database, we computed nucleotide and codon usage statistics, including calculation of relative synonymous codon usage values. We then calculated codon adaptation index (CAI) changes and a nonsynonymous/synonymous mutation ratio (dN/dS) over time for our dataset. Finally, we compiled information on the types of mutations occurring for SARS-CoV-2 and other comparable RNA viruses, and generated heatmaps showing codon and nucleotide composition at high entropy positions along the Spike sequence.Results: We show that nucleotide and codon usage metrics remain relatively consistent over the 32-month span, though there are significant differences between clades within each gene at various timepoints. CAI and dN/dS values vary substantially between different timepoints and different genes, with Spike gene on average showing both the highest CAI and dN/dS values. Mutational analysis showed that SARS-CoV-2 Spike has a higher proportion of nonsynonymous mutations than analogous genes in other RNA viruses, with nonsynonymous mutations outnumbering synonymous ones by up to 20:1. However, at several specific positions, synonymous mutations were overwhelmingly predominant.Conclusions: Our multifaceted analysis covering both the composition and mutation signature of SARS-CoV-2 gives valuable insight into the nucleotide frequency and codon usage heterogeneity of SARS-CoV-2 over time, and its unique mutational profile compared to other RNA viruses
The cognitive and emotional effects of cognitive bias modification in interpretations in behaviorally inhibited youth
Cognitive bias modification (CBM) procedures follow from the view that interpretive biases play an important role in the development and maintenance of anxiety. As such, understanding the link between interpretive biases and anxiety in youth at risk for anxiety (e.g., behaviorally inhibited children) could elucidate the mechanisms involved in the development of pediatric anxiety. However, to date, the majority of CBM-I work only studies adult populations. The present article presents the results of a CBM study examining effects of positive interpretive bias modification on mood, stress vulnerability, and threat-related attention bias in a group of behaviorally inhibited children (n = 45). Despite successful modification of interpretive bias in the at-risk youth, minimal effects on stress vulnerability or threat-related attention bias were found. The current findings highlight the need for continued research on cognitive biases in anxiety
Splicing Dysregulation Contributes to the Pathogenicity of Several F9 Exonic Point Variants
Background: PreâmRNA splicing is a complex process requiring the identification of donor site, acceptor site, and branch point site with an adjacent polypyrimidine tract sequence. Splicing is regulated by splicing regulatory elements (SREs) with both enhancer and suppressor functions. Variants located in exonic regions can impact splicing through dysregulation of native splice sites, SREs, and cryptic splice site activation. While splicing dysregulation is considered primary diseaseâinducing mechanism of synonymous variants, its contribution toward disease phenotype of nonâsynonymous variants is underappreciated. Methods: In this study, we analyzed 415 diseaseâcausing and 120 neutral F9 exonic point variants including both synonymous and nonâsynonymous for their effect on splicing using a series of in silico splice site prediction tools, SRE prediction tools, and in vitro minigene assays. Results: The use of splice site and SRE prediction tools in tandem provided better prediction but were not always in agreement with the minigene assays. The net effect of splicing dysregulation caused by variants was context dependent. Minigene assays revealed that perturbed splicing can be found. Conclusion: Synonymous variants primarily cause disease phenotype via splicing dysregulation while additional mechanisms such as translation rate also play an important role. Splicing dysregulation is likely to contribute to the disease phenotype of several nonâsynonymous variants
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