Design and Analysis of Fusion Algorithm for Multi-Frame Super-Resolution Image Reconstruction using Framelet

A enhanced fusion algorithm for generating a super resolution image from a sequence of low-resolution images captured from identical scene apparently a video, based on framelet have been designed and analyzed. In this paper an improved analytical method of image registration is used which integrates nearest neighbor method and gradient method. Comparing to Discrete Wavelet Transform (DWT) the Framelet Transform (FrT) have tight frame filter bank that offers symmetry and permits shift in invariance. Therefore using framelet this paper also present a framelet based enhanced fusion for choosing the fused framelet co-efficient that provides detailed edges and good spatial information with adequate de-noising. The proposed algorithm also has high advantage and computationally fast which are most needed for satellite imaging, medical imaging diagnosis, military surveillance, remote sensing etc.Defence Science Journal, Vol. 65, No. 4, July 2015, pp. 292-299, DOI: http://dx.doi.org/10.14429/dsj.65.826

Modelling and development of a horizontal vibratory rod mill for mechanical alloying: a first report

The present work deals with the development of a horizontal vibratory rod mill for mechanical alloying and synthesis of nanostructured materials. A simplistic model for optimization of milling efficiency has been developed, and the optimal operating parameters have been theoretically identified. The significance of developing such a mill lies in the possibility of high temperature mechanical alloying, which can open up new vistas for synthesis of nanoscale alloys

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Broad field of applied microbiology, with particular interests to antimicrobials, rapid diagnosis, bioinformatics, microbial genetics, medical, pharmaceutical and veterinary microbiologyeThe indiscriminate use of antimicrobials in aquaculture results in antibiotic selection pressure and proliferation of antimicrobial resistant (AMR) bacteria. Frequent assessment of antimicrobial resistance in aquaculture environment is inevitable so as to reduce the passage of clinically important AMR from aquatic to other environment. The present study analysed the antimicrobial resistance of pathogens associated with diseased koi carp and goldfish from an ornamental fish farm. Phenotypic and genotypic characterization of the recovered isolates from both fishes revealed significant pathogens in aquaculture such as Aeromonas, Edwardsiella tarda, Acinetobacter, Lactococcus, Citrobacter, Enterobacter and Comamonas. Shannon-Wiener diversity of koi isolates (2·359) was found to be higher than that of goldfish (1·864). Antibiotic susceptibility testing using disc diffusion with 47 antibiotics revealed significant resistance pattern of Acinetobacter, Comamonas, Klebsiella and Enterobacter from goldfish and Edwardsiella, Aeromonas, Lactococcus, Enterobacter and Acinetobacter from koi with higher multiple antibiotic resistance indexes (>0·3). The minimum inhibitory concentration of antibiotics for the major resistant isolates was found to be very high with >256 μg. All the isolates were susceptible to amoxicillin, kanamycin, cefepime, cefexime, cefotaxime, ceftazidime, doripenem, ciprofloxacin and norfloxacin, recommending their successful application in the farm. SIGNIFICANCE AND IMPACT OF THE STUDY: Antimicrobial resistance is a major threat faced in aquaculture industry. The current study provides baseline information regarding the antibiotic resistance patterns of diverse pathogens recovered from ornamental koi carp and goldfish. The higher MAR index of pathogens and greater MIC of antibiotics for the resistant isolates highlighted the intense use of antibiotics in aquaculture farm. The potential of the pathogens to exhibit resistance even towards the new generation antibiotics remind the need of prudent use of antibiotics and continuous monitoring and surveillance programmes.Department of Science and Technology (SERB) for providing National Postdoctoral Research fellowship (PDF/2017/000378

Pharmacophore modelling-based drug repurposing approaches for monkeypox therapeutics

Monkeypox is a zoonotic viral disease that mainly affects tropical rainforest regions of central and west Africa, with sporadic exportations to other places. Since there is no cure, treating monkeypox with an antiviral drug developed for smallpox is currently acceptable. Our study mainly focused on finding new therapeutics to target monkeypox from existing compounds or medications. It is a successful method for discovering or developing medicinal compounds with novel pharmacological or therapeutic applications. In this study, homology modelling developed the Monkeypox VarTMPK (IMNR) structure. Ligand-based pharmacophore was generated using the best docking pose of standard ticovirimat. Further, molecular docking analysis showed compounds, tetrahydroxycurcumin, procyanidin, rutin, vicenin-2, kaempferol 3-(6''-malonylglucoside) were the top five binding energy compounds against VarTMPK (1MNR). Furthermore, we carried out MD simulations for 100 ns for the six compounds, including reference based on the binding energies and interactions. MD studies revealed that as ticovirimat interacted with residues Lys17, Ser18, and Arg45, all the above five compounds interacted with the same amino acids at the active site during docking and simulation studies. Among all the compounds, ZINC4649679 (Tetrahydroxycurcumin) was shown to have the highest binding energy −9.7 kcal/mol and also observed stable protein-ligand complex during MD studies. ADMET profile estimation showed that the docked phytochemicals were safe. However, further biological assessment through a wet lab is essential to measure the efficacy and safety of the compounds. Communicated by Ramaswamy H. Sarma</p

On-Surface Azide–Alkyne Cycloaddition on Cu(111): Does It “Click” in Ultrahigh Vacuum?

Using scanning tunneling microscopy, we demonstrate that the 1,3-dipolar cycloaddition between a terminal alkyne and an azide can be performed under solvent-free ultrahigh vacuum conditions with reactants adsorbed on a Cu(111) surface. XPS shows significant degradation of the azide upon adsorption, which is found to be the limiting factor for the reaction