1,193 research outputs found
Comment on "Spectroscopic Evidence for Multiple Order Parameters in the Heavy Fermion Superconductor CeCoIn5"
This is a comment on recent paper by Rourke et al. titled "Spectroscopic
Evidence for Multiple Order Parameters in the Heavy Fermion Superconductor
CeCoIn5" (cond-mat/0409562v1 22 Sep 2004). We argue that the features observed
by Rourke etal. arise from their contact not being in the ballistic limit.Comment: 4 pages with figures (pdf
Simulating Patho-realistic Ultrasound Images using Deep Generative Networks with Adversarial Learning
Ultrasound imaging makes use of backscattering of waves during their
interaction with scatterers present in biological tissues. Simulation of
synthetic ultrasound images is a challenging problem on account of inability to
accurately model various factors of which some include intra-/inter scanline
interference, transducer to surface coupling, artifacts on transducer elements,
inhomogeneous shadowing and nonlinear attenuation. Current approaches typically
solve wave space equations making them computationally expensive and slow to
operate. We propose a generative adversarial network (GAN) inspired approach
for fast simulation of patho-realistic ultrasound images. We apply the
framework to intravascular ultrasound (IVUS) simulation. A stage 0 simulation
performed using pseudo B-mode ultrasound image simulator yields speckle mapping
of a digitally defined phantom. The stage I GAN subsequently refines them to
preserve tissue specific speckle intensities. The stage II GAN further refines
them to generate high resolution images with patho-realistic speckle profiles.
We evaluate patho-realism of simulated images with a visual Turing test
indicating an equivocal confusion in discriminating simulated from real. We
also quantify the shift in tissue specific intensity distributions of the real
and simulated images to prove their similarity.Comment: To appear in the Proceedings of the 2018 IEEE International Symposium
on Biomedical Imaging (ISBI 2018
The role of critical current on point contact Andreev Reflection spectrum between a normal metal and a superconductor
The point contact spectrum between a normal metal and a superconductor often
shows unexpected sharp dips in the conductance at voltage values larger than
the superconducting energy gap. These dips are not predicted in the
Blonder-Tinkham-Klapwizk (BTK) theory, commonly used to analyse these contacts.
We present here a systematic study of these dips in a variety of contacts
between different combinations of a superconductor and a normal metal. From the
correlation between the characteristics of these dips with the contact area, we
can surmise that such dips are caused by the contact not being in the ballistic
limit. An analysis of the possible errors introduced while analysing such a
spectrum with the standard BTK model is also presented.Comment: 16 pages, PS, figure include
Role of DNA methyltransferase 3A and 3B, in Human Cancer
DNA Methylation acts as an essential regulatory mechanism of transcription affecting chromatin structure, which is established and maintained by the co-ordinate action of three DNA methyltransferases: DNMT1, DNMT3A and DNMT3B and histone modifications. Recent studies show that epigenetic change plays a major role in silencing a variety of methylated tissue-specific and imprints genes in many cancer types. Lymph node cancer is considered to result in part from the accumulation of multiple genetic alterations and leading to oncogene over expression and loss of function of tumor suppressor. The aim of this study was to check the expression of DNMT3A and DNMT3B in both normal and cancer cell. Both DNMT3A and DNMT3B shows over expression in cancer cell indicating their involvement in lymph node cancer
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