1,067 research outputs found
C. C. Mehta
On the life and works of Chandravadan Chimanlal Mehta, b. 1901, Gujarati author
Mobilities in Religious Knowledge: Phiroz Mehta and the Logics of Transreligiosity in 1970s–80s South London
This paper examines transreligiosity in the context of the transmission of South Asian concepts of spirituality to the UK in the 20th century. Between the 1920s and 1990s, Indian teacher and author Phiroz Mehta (1902–1994) crossed borders in a colonial and postcolonial shuttling between India and the UK but also transgressed conceptual and practice borders of religion, teaching Indian religious concepts to post-Christian spiritual seekers in 1970s–80s South London. Mehta cultivated an elasticity between many religious and philosophical traditions, recognising the post-institutional fatigue of subjects who sought alternative forms of ‘belonging without believing’. Privileging the domestic space for teaching, as well as transitory ‘camp’ gatherings in the UK and Germany, Mehta often operated in the social margins, combining teachings from Hinduism, Buddhism, and Christianity with Zoroastrianism, Judaism (specifically Kabbalah), and Daoism. He offered his tutees the freedom to practice religion in whatever way they chose by drawing on a broad range of traditions concurrently to create a transreligiosity. This paper examines Panagiotopoulos and Roussou’s ‘transgressional webs of practising individualised forms of alternative spirituality’ in relation to Mehta’s followers in the 1970s-1980s and asks how transreligiosity relates to other theoretical analyses, such as religious exoticism, bricolage, religious appropriation, cultural re-articulation or assemblage. This paper focuses on qualitative interviews with original members of the Mehta community conducted between 2021 and 2022.</p
Design and development of a mechatronic training simulator for adult ECMO
Widespread adoption of Extracorporeal Membrane Oxygenation (ECMO) in adults has been limited by unfamiliarity with the procedure, including cannulation and safe handling of the ECMO equipment. We present the design and development of a mechatronic training simulator for ECMO that can help medical professionals acquire the needed skills, gain familiarity, and reduce errors by practicing before performing the procedure on real patients. The trainer is designed as an ultrasound-compatible, wholesome simulator with realistic components such as synthetic blood vessels, cannulation pads, and a color-changing blood simulant to simulate oxygenation and deoxygenation. The simulator is integrated with a mathematical model of human physiology to simulate real-time patient vitals and training scenarios, and to control the trainer hardware. We present results related to successful cannulation under ultrasound scanning and a simple patient scenario of hypovolemia.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-05-01The student, Iti Mehta, accepted the attached license on 2019-04-24 at 10:58.The student, Iti Mehta, submitted this Thesis for approval on 2019-04-24 at 11:11.This Thesis was approved for publication on 2019-04-24 at 12:45.DSpace SAF Submission Ingestion Package generated from Vireo submission #13873 on 2019-08-22 at 15:08:02Made available in DSpace on 2019-08-23T20:36:09Z (GMT). No. of bitstreams: 2
MEHTA-THESIS-2019.pdf: 84393765 bytes, checksum: 74f0edf247057995595372eb8076e513 (MD5)
LICENSE.txt: 4206 bytes, checksum: 30fb64a86cfc352d6579ccb023b2a936 (MD5)
Previous issue date: 2019-04-24Embargo set by: Seth Robbins for item 112203
Lift date: 2021-08-23T20:36:18Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 112203 on 2021-08-24T09:15:24Z
Sparse and Efficient Transfer Learning via Winning Lottery Tickets
In this thesis, we extend the Lottery Ticket Hypothesis of Frankle & Carbin (ICLR `19) to a variety of transfer learning problems. We identify sparse, trainable sub-networks that can be found on a source dataset and transferred to a variety of down-stream tasks. Our results show that sparse sub-networks with approximately 85-95% of weights removed exceed the accuracy of the original network when transferred to other tasks. We experimentally show that a sparse representation learned by a deep convolutional network trained on CIFAR-10 can be transferred to SmallNORB and FashionMNIST in a number of realistic settings. In addition, we show the existence of the first sparse, trainable sub-networks for natural language tasks; in particular, we show that BERT with up to 81.5% of parameters removed can reach the original test accuracy for the CoNLL-2003 Named Entity Recognition task
Optimal Bioeconomic Management Strategies for Prevention and Control of Invasive Alien Species
Paper removed by author. Please see the current version, available online January 8, 2007: Mehta, S.V. et al. Optimal detection and control strategies for invasive species management. Ecological Economics (2007), doi:10.1016/j.ecolecon.2006.10.024Environmental Economics and Policy,
Design and implementation of a phase locked loop for high-speed serial links
The student, Rushabh Mehta, accepted the attached license on 2016-04-25 at 13:40.The student, Rushabh Mehta, submitted this Thesis for approval on 2016-04-25 at 13:46.This Thesis was approved for publication on 2016-04-27 at 14:52.DSpace SAF Submission Ingestion Package generated from Vireo submission #9475 on 2016-07-07 at 13:50:45Made available in DSpace on 2016-07-07T20:27:59Z (GMT). No. of bitstreams: 2
MEHTA-THESIS-2016.pdf: 13984347 bytes, checksum: 4ecb06c5c270bc1beffb061eeae85eef (MD5)
LICENSE.txt: 4210 bytes, checksum: e6aea67d4e02d64f06671bb40ada2274 (MD5)
Previous issue date: 2016-04-27Recent advances in the semiconductor industry and process technology scaling have increased the demand for fast, robust computing. The thirst for high-processing, low power ICs is ever increasing. This has pushed the demand for high data rates in wireless and wireline communication systems in the multi-Gbps range. With higher data rates, the I/O links need to scale proportionally. However, the I/O channel bandwidth has not scaled appropriately making it the biggest bottleneck in high-speed links. Parallel links have not been able to match this increasing system performance due to issues such as crosstalk, timing skew and packaging costs. Thus there is a need for high-speed serial links. For high-speed transmission of data, there arises a need for high-speed on chip clocking circuits making the use of Phase-Locked Loops (PLLs) imperative.
This thesis includes an overview of high-speed links along with the need for PLLs. An in-depth understanding of PLL theory, loop dynamics and behavioral and transistor level simulation follows. Performance metrics such as phase noise, random jitter and deterministic jitter are discussed. Finally, this thesis concludes with an insight into All Digital Phase-Locked Loops (ADPLLs).Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2018-05-01Embargo set by: Seth Robbins for item 93174
Lift date: 2018-07-07T20:28:14Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 93174
Lift date: 2018-07-07T20:35:34Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 93174 on 2018-07-08T09:15:20Z
Outcomes of cytoreductive surgery with hyperthermic intraperitoneal chemotherapy for peritoneal mesothelioma and predictors of survival
Background: Cytoreductive surgery (CRS) with hyperthermic intraperitoneal chemotherapy (HIPEC) benefits selected patients with peritoneal mesothelioma. We present the outcomes of this treatment strategy in a UK peritoneal malignancy national referral centre. Methods: Observational retrospective analysis of data prospectively collected in a dedicated peritoneal malignancy database between March 1998 and January 2016. Results: Of 1586 patients treated for peritoneal malignancy, 76 (4.8%) underwent surgery for peritoneal mesothelioma. Median age was 49 years (range 21–73 years). 34 patients (45%) were female. Of the 76 patients, 39 (51%) had low grade histological subtypes (mostly multicystic mesothelioma), and 37 (49%) had diffuse malignant peritoneal mesothelioma (DMPM; mostly epithelioid mesothelioma). Complete cytoreduction was achieved in 52 patients (68%) and maximal tumour debulking (MTD) was performed in 20 patients (26%); the remaining 4 patients (5%) underwent a laparotomy with biopsy only. HIPEC was administered in 67 patients (88%). Median overall (OS) and disease-free survival (DFS) after CRS was 97.8 (80.2–115.4) and 58.8 (47.4–70.3) months, respectively. After complete cytoreduction, 100% overall survival was observed amongst patients with low-grade disease. Ki-67 proliferation index was significantly associated with survival outcomes after complete cytoreduction for DMPM and was an independent predictor of decreased survival. Conclusion: With adequate patient selection (guided by histological classification and Ki-67 proliferation index) and complete cytoreduction with HIPEC, satisfactory outcomes can be achieved in selected patients with peritoneal mesothelioma.</p
sj-docx-1-ajs-10.1177_03635465221141907 – Supplemental material for A Randomized Trial of Autologous Chondrocyte Implantation Versus Alternative Forms of Surgical Cartilage Management in Patients With a Failed Primary Treatment for Chondral or Osteochondral Defects in the Knee
Supplemental material, sj-docx-1-ajs-10.1177_03635465221141907 for A Randomized Trial of Autologous Chondrocyte Implantation Versus Alternative Forms of Surgical Cartilage Management in Patients With a Failed Primary Treatment for Chondral or Osteochondral Defects in the Knee by Martyn Snow, Lee Middleton, Samir Mehta, Andrew Roberts, Richard Grey, James Richardson, Jan Herman Kuiper, Anthony Smith, Steve White, Simon Roberts, David Griffiths, Aslam Mohammed, Kirti Moholkar, Tanweer Ashraf, Marcus Green, James Hutchinson, Tony Bhullar, Sanjeev Chitnis, Andrew Shaw, Louw van Niekerk, Anthony Hui, Jon Olav Drogset, Gunnar Knutsen, Mike McNicholas, Mark Bowditch, David Johnson, Philip Turner, Sanjiv Chugh, Neil Hunt, Salman Ali, Simon Palmer, Andrew Perry, Alastair Davidson, Peter Hill, Sunny Deo, Venkat Satish, Michael Radford, Ron Langstaff, David Houlihan-Burne, Dominic Spicer, Padman Phaltankar, Ahmed Hegab, David Marsh, Steve Cannon, Tim Briggs, Rob Pollock, Richard Carrington, John Skinner, George Bentley, Andrew Price, Peter Schranz, Vipul Mandalia and Shaun O’Brien in The American Journal of Sports Medicine</p
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