374 research outputs found

    Electrochemomechanics in Mixed Ionic Electronic Conductors and solid oxide cells

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    This thesis presents a model for coupled electrochemomechanics in Mixed Ionic Electronic Conductors (MIEC). A continuum model is formulated to simulate the transport of ionic defects and the stress distribution in the conductor arising from the chemical expansion associated with the defects. First, a finite element formulation of the model is developed and validated with various analytical solutions and comparisons with experimental results. In the third chapter the coupled model is used along with an iterative scheme to simulate the transport characteristics in solid oxide cells with oxygen surface exchange and results are compared with experimental cell operation. The model is used to study the effect of oxygen surface exchange and the bulk diffusion of defects on the performance of solid oxide cell. In the fourth chapter, the transport of ionic defects is studied under spatially varying oxygen surface exchange in solid oxide cells due to the presence of metal current collector. Various defect transport mechanisms (boundary value problem setups) are proposed and studied to identify and explain the influence of metal current collector on oxygen exchange at the electrode film surface.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2022-08-01The student, Rupesh Kumar Mahendran, accepted the attached license on 2020-07-21 at 16:46.The student, Rupesh Kumar Mahendran, submitted this Thesis for approval on 2020-07-21 at 17:01.This Thesis was approved for publication on 2020-07-24 at 10:34.DSpace SAF Submission Ingestion Package generated from Vireo submission #15716 on 2020-10-02 at 15:34:04Made available in DSpace on 2020-10-07T22:44:46Z (GMT). No. of bitstreams: 3 MAHENDRAN-THESIS-2020.pdf: 3708078 bytes, checksum: 463ee47cd0eb92e25537a9b91dc2fee4 (MD5) Rupesh thesis - final draft_corrected.docx: 4319366 bytes, checksum: baa891bc123f75ecfe18236ec31038ee (MD5) LICENSE.txt: 4219 bytes, checksum: 2eee58e4d1046f8f5db401af57c80c25 (MD5) Previous issue date: 2020-07-24Embargo set by: Seth Robbins for item 116264 Lift date: 2022-10-07T22:44:53Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemAuthor requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Onl

    Supplemental Material, sj-docx-2-ptd-10.1177_08968608221091023 - Risk factors and outcomes of neonates with acute kidney injury needing peritoneal dialysis: Results from the prospective TINKER (The Indian PCRRT-ICONIC Neonatal Kidney Educational Registry) study

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    Supplemental Material, sj-docx-2-ptd-10.1177_08968608221091023 for Risk factors and outcomes of neonates with acute kidney injury needing peritoneal dialysis: Results from the prospective TINKER (The Indian PCRRT-ICONIC Neonatal Kidney Educational Registry) study by Sidharth Kumar Sethi, Sanjay Wazir, Jagdish Sahoo, Gopal Agrawal, Naveen Bajaj, Naveen Parkash Gupta, Shishir Mirgunde, Binesh Balachandran, Kamran Afzal, Anubha Shrivastava, Jyoti Bagla, Sushma Krishnegowda, Ananth Konapur, Azmeri Sultana, Kritika Soni, Nikhil Nair, Divya Sharma, Prajit Khooblall, Avisha Pandey, Khalid Alhasan, Mignon McCulloch, Timothy Bunchman, Abhishek Tibrewal and Rupesh Raina in Peritoneal Dialysis International</p

    Supplemental Material, sj-docx-1-ptd-10.1177_08968608221091023 - Risk factors and outcomes of neonates with acute kidney injury needing peritoneal dialysis: Results from the prospective TINKER (The Indian PCRRT-ICONIC Neonatal Kidney Educational Registry) study

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    Supplemental Material, sj-docx-1-ptd-10.1177_08968608221091023 for Risk factors and outcomes of neonates with acute kidney injury needing peritoneal dialysis: Results from the prospective TINKER (The Indian PCRRT-ICONIC Neonatal Kidney Educational Registry) study by Sidharth Kumar Sethi, Sanjay Wazir, Jagdish Sahoo, Gopal Agrawal, Naveen Bajaj, Naveen Parkash Gupta, Shishir Mirgunde, Binesh Balachandran, Kamran Afzal, Anubha Shrivastava, Jyoti Bagla, Sushma Krishnegowda, Ananth Konapur, Azmeri Sultana, Kritika Soni, Nikhil Nair, Divya Sharma, Prajit Khooblall, Avisha Pandey, Khalid Alhasan, Mignon McCulloch, Timothy Bunchman, Abhishek Tibrewal and Rupesh Raina in Peritoneal Dialysis International</p

    Deciphering the Potential of Pre and Pro-Vitamin D of Mushrooms against Mpro and PLpro Proteases of COVID-19: An In Silico Approach

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    Vitamin D&rsquo;s role in combating the SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2), the virus causing COVID-19, has been established in unveiling viable inhibitors of COVID-19. The current study investigated the role of pre and pro-vitamin D bioactives from edible mushrooms against Mpro and PLpro proteases of SARS-CoV-2 by computational experiments. The bioactives of mushrooms, specifically ergosterol (provitamin D2), 7-dehydrocholesterol (provitamin-D3), 22,23-dihydroergocalciferol (provitamin-D4), cholecalciferol (vitamin-D3), and ergocalciferol (vitamin D2) were screened against Mpro and PLpro. Molecular docking analyses of the generated bioactive protease complexes unravelled the differential docking energies, which ranged from &minus;7.5 kcal/mol to &minus;4.5 kcal/mol. Ergosterol exhibited the lowest binding energy (&minus;7.5 kcal/mol) against Mpro and PLpro (&minus;5.9 kcal/mol). The Molecular Mechanics Poisson&ndash;Boltzmann Surface Area (MMPBSA) and MD simulation analyses indicated that the generated complexes were stable, thus affirming the putative binding of the bioactives to viral proteases. Considering the pivotal role of vitamin D bioactives, their direct interactions against SARS-CoV-2 proteases highlight the promising role of bioactives present in mushrooms as potent nutraceuticals against COVID-19

    Estimation of Geotechnical Parameters for Coal Exploration from Quasi-3D Electrical Resistivity Measurements

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    Geotechnical parameters are crucial for mine planning and operation at different stages of development. However, estimating these parameters requires a large number of boreholes and subsequent detailed analysis of the samples, making it a cumbersome exercise. Moreover, even after conducting these studies, it is not possible to cover the entire operational area. To address this issue, this study presents an indirect method of estimating geotechnical parameters through mathematical relations using resistivity data. The present study incorporated 2D and 3D subsurface imaging techniques for exploring coal reserves and analyzing geotechnical parameters that define subsurface soil properties. Electrical resistivity tomography (ERT) was utilized for data acquisition, employing a Dipole&ndash;dipole array with a multielectrode ABEM Terrameter LS instrument. Six parallel profiles were conducted, each 400 m in length, with an inter-electrode spacing of 10 m and a spacing of 50 m between profiles. These profiles were combined into a 3D dataset referred to as quasi-3D ERT. The inversion process for both 2D and 3D data was performed using the Res2dinv and Res3dinv programs, respectively. This study overcame the challenges of 2D resistivity sections by evaluating horizontal depth slices in the x-z plane from layers 1 to 10, reaching a depth of 81.2 m. The geotechnical parameters, including cohesion, friction angle, moisture content, and plastic index, were derived from the resistivity data. The ERT method proved to be cost-effective and efficient in determining soil properties over a large area compared with traditional laboratory analysis of borehole samples. Additionally, the variation of geotechnical parameters with resistivity values exhibited unique characteristics. The results from both the 2D and quasi-3D ERT were well correlated with the borehole data. Such studies are valuable for resource exploration and mine planning purposes
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