5 research outputs found

    Economic Analysis of Migration in Oklahoma

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    Economic

    Superhydrophobic Carbon Aerogel Derived from Edible-Sugar for Removal of Oils and Nitro Aromatics

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    Herein, we report a single-step carbonization approach for fabricating high-performance three-dimensional (3D) porous and superhydrophobic carbon-aerogel (S-CA) from edible sugar. S-CA has been used here to remove many substances, including various solvents (polar protic and aprotic, nonpolar, and oily), oils (crude, engine, waste cooking oil, etc.), and nitroaromatics (p-nitrophenol, dinitrophenol, 3-nitroaniline, and 4-nitroaniline) compounds based on their adsorption abilities. The superhydrophobic nature of porous S-CA has been supported by a static contact angle of ∌155° and the formation of a silver mirror-like surface when contacted with the surface of the water. S-CA adsorption capabilities were used to separate crude petroleum oil, waste engine oil, and a few other types of waste oil (waste cooking, silicon oil, and mustard oil) from the aqueous medium. Moreover, absorption analyses were extended to the adsorption and recovery of the toxic nitroaromatic pollutants from the aqueous medium. The nitroaromatics were recovered from the S-CA using ethyl acetate with a percentage recovery of more than 95%. Kinetic and intraparticle diffusion studies are being studied to understand the type and various stages of adsorption

    Abstracts of AICTE Sponsored International Conference on Post-COVID Symptoms and Complications in Health

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    This book presents the selected abstracts of the International Conference on Post-COVID Symptoms and Complications in Health, hosted from the 28th to 29th of April 2022 in virtual mode by the LR Institute of Pharmacy, Solan (H.P.)-173223 in Collaboration with AICTE, New Delhi. This conference focuses on the implications of long-term symptoms on public health, ways to mitigate these complications, improve understanding of the disease process in COVID-19 patients, use of computational methods and artificial intelligence in predicting complications, and the role of various drug delivery systems in combating the complications. Conference Title:  International Conference on Post-COVID Symptoms and Complications in HealthConference Sponsor: AICTE, New Delhi.Conference Date: 28-29 April 2022Conference Location: OnlineConference Organizer: LR Institute of Pharmacy, Solan (H.P.)-173223

    Abstracts of AICTE Sponsored International Conference on Post-COVID Symptoms and Complications in Health

    No full text
    This book presents the selected abstracts of the International Conference on Post-COVID Symptoms and Complications in Health, hosted from the 28th to 29th of April 2022 in virtual mode by the LR Institute of Pharmacy, Solan (H.P.)-173223 in Collaboration with AICTE, New Delhi. This conference focuses on the implications of long-term symptoms on public health, ways to mitigate these complications, improve understanding of the disease process in COVID-19 patients, use of computational methods and artificial intelligence in predicting complications, and the role of various drug delivery systems in combating the complications. Conference Title:  International Conference on Post-COVID Symptoms and Complications in HealthConference Sponsor: AICTE, New Delhi.Conference Date: 28-29 April 2022Conference Location: OnlineConference Organizer: LR Institute of Pharmacy, Solan (H.P.)-173223

    Search for intermediate-mass black hole binaries in the third observing run of Advanced LIGO and Advanced Virgo

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    International audienceIntermediate-mass black holes (IMBHs) span the approximate mass range 100−105 M⊙, between black holes (BHs) that formed by stellar collapse and the supermassive BHs at the centers of galaxies. Mergers of IMBH binaries are the most energetic gravitational-wave sources accessible by the terrestrial detector network. Searches of the first two observing runs of Advanced LIGO and Advanced Virgo did not yield any significant IMBH binary signals. In the third observing run (O3), the increased network sensitivity enabled the detection of GW190521, a signal consistent with a binary merger of mass ∌150 M⊙ providing direct evidence of IMBH formation. Here, we report on a dedicated search of O3 data for further IMBH binary mergers, combining both modeled (matched filter) and model-independent search methods. We find some marginal candidates, but none are sufficiently significant to indicate detection of further IMBH mergers. We quantify the sensitivity of the individual search methods and of the combined search using a suite of IMBH binary signals obtained via numerical relativity, including the effects of spins misaligned with the binary orbital axis, and present the resulting upper limits on astrophysical merger rates. Our most stringent limit is for equal mass and aligned spin BH binary of total mass 200 M⊙ and effective aligned spin 0.8 at 0.056 Gpc−3 yr−1 (90% confidence), a factor of 3.5 more constraining than previous LIGO-Virgo limits. We also update the estimated rate of mergers similar to GW190521 to 0.08 Gpc−3 yr−1.Key words: gravitational waves / stars: black holes / black hole physicsCorresponding author: W. Del Pozzo, e-mail: [email protected]† Deceased, August 2020
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