Tunable Multiple Fano Resonances in One-Dimensional Photonic Crystal Containing Multiple Superconductor

We investigated the optical properties of one-dimensional photonic crystal composed of multiple different superconductor materials altogether theoretically by transfer matrix method. The number of Fano resonances generated in transmittance spectra depends on the number of different superconductor materials incorporated in the structure of photonic crystal. The Fano resonances are very sharp and sensitive to the varying parameters. The line profile of multiple Fano resonances in transmission spectra can be tuned by varying the thickness of the layers, the angle of incidence, and the temperature of superconductor photonic crystal. The tunable characteristic of multiple Fano resonances has potential application in bistable optical devices, switches, and sensors.     

Metadocuments supporting digital library information discovery

The World Wide Web is a decentralized, unmanaged, dynamically changing repository of digital documents. Waldens Paths provides tools that enable authors to collect, organize, annotate, and present Web-based information to reader communities via a linear metadocument called a path. Waldens Paths includes path authoring and reading interfaces supporting the contextualization of included materials to match authors goals as well as enabling browsing off the path to match readers personal interests. It also provides tools to manage these paths of transient Web materials based on the identification and evaluation of changes to the component pages. Experience with Waldens Paths in educational settings and changes to Web technology as well as the Web-savvyness of users have led to a variety of changes to earlier designs. Current directions of work include the development of methods for evaluating readers understanding via quizzes associated with paths and richer path structures.     

DerainGAN: Single image deraining using wasserstein GAN

Multimedia Tools and Applications - Rainy weather greatly affects the visibility of salient objects and scenes in the captured images and videos. The object/scene visibility varies with the type of...     

A hybrid approach for search and rescue using 3DCNN and PSO

Neural Computing and Applications - Search and rescue are essential applications of disaster management in which people are evacuated from the disaster-prone area to a safer place. This overall...     

On the Curve Reconstruction in Riemannian Manifolds

In this article we extend the computational geometric curve reconstruction approach to the curves embedded in the Riemannian manifold. We prove that the minimal spanning tree, given a sufficiently dense sample, correctly reconstructs the smooth arcs which can be used to reconstruct closed and simple curves in Riemannian manifolds. The proof is based on the behavior of the curve segment inside the tubular neighborhood of the curve. To take care of the local topological changes of the manifold, the tubular neighborhood is constructed in consideration with the injectivity radius of the underlying Riemannian manifold. We also present examples of successfully reconstructed curves and show applications of curve reconstruction to ordering motion frames.     

Upgrading Coal Washery Rejects Through Caustic-acid Leaching

Physical beneficiation of West Bokaro run-of-mine coal gives 15% ash clean coal with 38% yield. Further lowering the ash content in clean coal may cause significant yield loss as well as generation of enormous quantities of middling and reject coals, which are low value material. West Bokaro coal washery of Tata Steel Ltd produces 0.7 million tons of reject coal annually. This work deals with the effect of caustic-acid leaching route for producing 19.7% ash clean coal with more than 40% yield from the rejects with 60% ash. The clean coal obtained in this process can be utilized in thermal power stations and cement industries.     

Automated error correction in IBM quantum computer and explicit generalization

Construction of a fault-tolerant quantum computer remains a challenging problem due to unavoidable noise and fragile quantum states. However, this goal can be achieved by introducing quantum error-correcting codes. Here, we experimentally realize an automated error correction code and demonstrate the nondestructive discrimination of GHZ states in IBM 5-qubit quantum computer. After performing quantum state tomography, we obtain the experimental results with a high fidelity. Finally, we generalize the investigated code for maximally entangled n-qudit case, which could both detect and automatically correct any arbitrary phase-change error, or any phase-flip error, or any bit-flip error, or combined error of all types of error.     

High‐Temperature Oxidation of ZrB2–SiC–AlN Composites at 1600°C

The effect of AlN substitution on oxidation of ZrB₂–SiC was evaluated at 1600°C up to 5 h. Replacement of ZrB₂ by AlN, with 30 vol% SiC resulted in improved oxidation resistance with a thinner scale and reduced oxygen affected area. On the other hand, substitution of AlN for SiC resulted in a deterioration of the oxidation resistance with an abnormal scale and significant recession. The effect of SiC content was also studied, and was found to be consistent with the literature for the composites without AlN additions. A similar effect was observed when AlN was added, with the higher SiC content materials showing improved oxidation resistance. X‐ray photoelectron spectroscopy showed the presence of Al₂O₃ and SiO₂ on the surface, which could possibly lead to a modification in the viscosity of the glassy oxide scale. Possibly, the oxidation behavior of ZrB₂–SiC composites can be improved with controlled AlN additions by adjusting the Al:Si ratios.     

Antidiabetic,angiotensin-converting enzyme inhibitory and anti-inflammatory activities of fermented camel milk and characterisation of novel bioactive peptides from lactic-fermented camel milk with molecular interaction study

This study was to separate and purify antidiabetic and angiotensin-converting enzyme (ACE) inhibitory peptides from Lactiplantibacillus plantarum KGL3A fermented camel milk. After 48 h of fermentation at 37°C, ɑ-amylase inhibition, ɑ-glucosidase inhibition, lipase inhibition and ACE inhibitory activities were 80.94%, 64.45%, 63.93%, and 77.53%, respectively in fermented camel milk. Optimisation of growth condition for the evaluation of maximum peptide production was evaluated by measuring proteolytic activity (O-phthalaldehyde, OPA method) with different inoculation rates and incubation times and highest proteolytic activity (9.21 mg/mL) was observed after 48 h of fermentation at 2.5% rate of inoculation. The antidiabetic and ACE inhibitory activity of 3 kDa permeate fraction were higher as compared with other fractions. Purification of antidiabetic and ACE inhibitory peptides from fermented camel milks was performed through sodium dodecyl-sulphate polyacrylamide gel electrophoresis, and 2-dimensional polyacrylamide gel electrophoresis and maximum number of protein bands were present in between 25 and 10 kDa. The generated peptide sequences were matched with antihypertensive peptide database (AHTPDB) and BIOPEP databases for confirming the antidiabetic and ACE inhibitory activity. Peptides, that is. TDVMPQWW and MMSLVSLLLVGILFPTIQAK were having highest peptide ranker score among the all sequences. Furthermore, anti-inflammatory activity (TNF-α, IL-6 and IL-1β) of fermented camel milk was evaluated in macrophage cell line RAW 264.7 (Ralph and William's cell line). Furthermore, peptides were predicted to have improved binding affinity against Human Angiotensin converting enzyme (hACE) through molecular docking.