Shiv Nadar University

About: Shiv Nadar University is a education organization based out in Dadri, Uttar Pradesh, India. It is known for research contribution in the topics: Population & Graphene. The organization has 1015 authors who have published 1924 publications receiving 18420 citations.

A miniaturized microstrip-to-CPW transition based UWB-BPF with sharp roll-off and minimum insertion loss

Abstract: A novel ultrawideband (UWB) bandpass filter (BPF) based on broadside coupled microstrip-to-coplanar waveguide (CPW) transition is proposed. The proposed structure consists of open circuited microstrip lines on the top arranged in back-to-back fashion and electromagnetically coupled to a short circuited CPW in the ground via the dielectric. This arrangement generates a smooth UWB having passband insertion loss <0.22 dB in simulation, and two transmission zeros at the lower and upper passband/stopband edges which enhances selectivity. To validate the theory a prototype is fabricated and its measured response tested against simulated data. The simulation and measured response are found to be in good agreement with each other. The proposed structure is quite compact in size measuring only 14.8 × 9.6 mm2. © 2016 Wiley Periodicals, Inc. Microwave Opt Technol Lett 58:289–293, 2016

Selection of suitable model for the supercritical fluid extraction of carrot seed oil: A parametric study

Abstract: To investigate suitable model for supercritical fluid extraction of carrot seed oil, different mathematical models are selected from literature and solved using COMSOL Multiphysics software. Operating parameters such as pressure, temperature, solvent flow rate, and addition of co-solvent are varied in ranges as 200–400 bar, 50–70 °C, 5–15 g/min, and 0–10 wt%, respectively. Solvent and solid phase mass transfer coefficients, easily accessible oil content and equilibrium constant are considered as tuning parameters to fit the model with experimental data. Oil yield is increased with pressure (400 bar) and temperature (70 °C) whereas, its value is highest at the solvent flow rate of 10 g/min, and co-solvent of 5 wt%. Thus, these values of parameters are considered as optimum points.

Gene-rich large deletions are overrepresented in POAG patients of Indian and Caucasian origins.

Abstract: PURPOSE: Large copy number variations (CNV) can contribute to increased burden for neurodegenerative diseases. In this study, we analyzed the genome-wide burden of large CNVs > 100 kb in primary open angle glaucoma (POAG), a neurodegenerative disease of the eye that is the largest cause of irreversible blindness. METHODS: Genome-wide analysis of CNVs > 100 kb were analyzed in a total of 1720 individuals, including an Indian cohort (347 POAG cases and 345 controls) and a Caucasian cohort (624 cases and 404 controls). All the CNV data were obtained from experiments performed on Illumina 660W-Quad (infinium) arrays. RESULTS: We observed that for both the populations CNVs > 1 Mb was significantly enriched for gene-rich regions unique to the POAG cases (P 1 Mb (39 calls) in patients influenced 125 genes while in controls 31 such CNVs influenced only 5 genes with no overlap. In both cohorts we observed 1.9-fold gene enrichment in patients for deletions compared to duplications, while such a bias was not observed in controls (0.3-fold). Overall duplications > 1 Mb were more than deletions (Del/Dup = 0.82) confirming that the enrichment of gene-rich deletions in patients was associated with the disease. Of the 39 CNVs > 1 Mb from Indian patients, 28 (72%) also were implicated in other neurodegenerative disorders, like autism, schizophrenia, sensorineural hearing loss, and so forth. We found one large duplication encompassing CNTN4 gene in Indian and Caucasian POAG patients that was absent in the controls. CONCLUSIONS: To our knowledge, our study is the first report on large CNV bias for gene-rich regions in glaucomatous neurodegeneration, implicating its impact across populations of contrasting ethnicities. We identified CNTN4 as a novel candidate gene for POAG.