124 research outputs found
Studies in Logic: A Dialogue Between the East and the West. Homage to Bimal Krishna Matilal
No full textTen essays of this book, two of which are written in Sanskrit, range from modern logic to classical Indian theories of inference. Classical Indian philosophy comprising Pracina and Navya- Nyaya, Sankhya, Buddhist and Jaina logical and philosophical standpoints are discussed in most modern technical terms of western philosophy, often with the aid of terminologies of modern logic. Similarly, western ideas propounded by the ancient Greek philosophers like Aristotle as well as contemporary philosophers such as Frege, Russell, Srawson, Kripke and many others are placed against the backdrop of classical Indian philosophy. The book will be immensely useful to those interested in stimulating meaningful dialogues between philosophical thinkings of India and the West. The book will also be of interest to those who aim at broadening the horizon of logic and philosoph
Deletion of vitamin D receptor leads to premature emphysema/COPD by increased matrix metalloproteinases and lymphoid aggregates formation
Get PDFDeficiency of vitamin D is associated with accelerated decline in lung function. Vitamin D is a ligand for nuclear hormone vitamin D receptor (VDR), and upon binding it modulates various cellular functions. The level of VDR is reduced in lungs of patients with chronic obstructive pulmonary disease (COPD) which led us to hypothesize that deficiency of VDR leads to significant alterations in lung phenotype that are characteristics of COPD/emphysema associated with increased inflammatory response. We found that VDR knock-out (VDR(-/-)) mice had increased influx of inflammatory cells, phospho-acetylation of nuclear factor-kappaB (NF-κB) associated with increased proinflammatory mediators, and up-regulation of matrix metalloproteinases (MMPs) MMP-2, MMP-9, and MMP-12 in the lung. This was associated with emphysema and decline in lung function associated with lymphoid aggregates formation compared to WT mice. These findings suggest that deficiency of VDR in mouse lung can lead to an early onset of emphysema/COPD because of chronic inflammation, immune dysregulation, and lung destruction
Inter institutional workshop on breakwaters
No full text(1) Functional requirements for Breakwaters - Prof. K.d' Angremond (2) Development of fishery harbors in India - Mr. K. Omprakash (3) Non-rubble Breakwaters and optimisation - Prof. K.d' Angremond (4) Wave energy caisson Breakwaters - Dr. S. Neelamani (5) Partially suspended porous wall Breakwaters - Dr. J.S. Mani (6) Case studies on stability of Breakwaters - Prof. V. Sundar (7) Introduction on Ennore coal port project - Mr. L.A. Mayboom (8) Design of Breakwaters for Ennore port - Mr. R. Haggie (9) Construction of Breakwaters for Ennore port - Mr. S. PearsonHydraulic EngineeringCivil Engineering and Geoscience
Learning based algorithms for temperature control and fouling prediction in heat-exchangers
Get PDFMy thesis broadly explores different data-driven algorithmic frameworks for solving two class of problems pertaining to heat-exchangers: temperature control and fouling resistance modeling and prediction.
Designing robust and accurate temperature controllers for heat exchangers is very challenging primarily because of complexities associated with the synthesis of dynamics of industrial heat exchangers. It is practically infeasible to synthesize an accurate dynamical model of heat-exchanger's flow and heat transfer physics because of unmodeled system dynamics and random noise. The use of non-model based control approaches such as PI control is limited by the challenges faced in the accurate tuning of its parameters. Further, an optimally tuned PI controller will not be universally applicable across the entire operating range of heat-exchanger's outlet temperatures due to changing controller set-points caused by large-scale stochastic fluctuations in the heat exchanger's flow and temperature inputs. We propose a couple of data-driven temperature control solutions for heat-exchangers based on -step advance deep neural networks and a hybrid control approach based on steady state neural network with a proportional controller. We compared the performance of these two control approaches with PI control and open loop (no control) scenarios on a simulated water-air heat exchanger system. The heat-exchanger control objective was to accurately track the user-defined set-point temperature signal at the air-outlet duct of the heating coil system. We assess the response characteristics of the developed control approaches for two set-point temperature signals- a constant temperature and a high frequency (periodic) square pulse. We obtained over 70% reduction in absolute set-point temperature tracking error compared to a PI controller, over a 50-minute duration for both the developed control approaches. Further, we explained the working of the neural network + proportional control module in great detail along with the rationale behind our design choices for ensuring the controller's stability and robustness.
The complexities involved in fouling prediction in heat-exchangers have deterred traditional model based approaches and other empirical methods. Many existing data-driven prediction approaches are typically application-driven or heat-exchanger specific. Hence, these algorithms are limited either by the scale of data they can handle or by the geometrical and flow configurations of the heat-exchanger for which they were conceived. Here, we develop a generalized and scalable statistical model for accurate prediction of fouling resistance using commonly measured parameters of industrial heat-exchangers. This prediction model is based on deep learning which is a family of computational data-driven methods that allows a scalable algorithmic architecture to learn non-linear functional relationships between a set of target and predictor variables from large number of training samples. The efficacy of this modeling approach is demonstrated for predicting fouling in a simulation of a flue-gas and water cross flow heat exchanger designed for waste-heat recovery. The results demonstrate that the average coefficient of determination, which quantifies the accuracy of predictions is over 99% in predicting flue-gas side, water side and overall fouling resistances. This prediction framework is also evaluated under varying levels of input noise and it was demonstrated that averaging predictions over an ensemble of multiple neural networks achieves better accuracy and robustness to noise. We find that the proposed deep-learning fouling prediction framework learns to follow heat-exchanger flow and heat transfer physics, which we confirm using locally interpretable model agnostic explanations around randomly selected operating points.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2021-12-01The student, Sreenath Sundar, accepted the attached license on 2019-12-12 at 21:00.The student, Sreenath Sundar, submitted this Thesis for approval on 2019-12-12 at 21:38.This Thesis was approved for publication on 2019-12-13 at 17:12.DSpace SAF Submission Ingestion Package generated from Vireo submission #14822 on 2020-02-28 at 17:38:26Made available in DSpace on 2020-03-02T22:39:00Z (GMT). No. of bitstreams: 3
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Previous issue date: 2019-12-13Embargo set by: Seth Robbins for item 114048
Lift date: 2022-03-02T22:39:04Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemLimited Restriction Lifted for Item 114048 on 2022-03-03T10:15:16Z
Order from Chaos:Probing Supramolecular Self-Assembly with 2D Spectroscopy
No full textMolecular self-assembly, the process where molecules spontaneously organize into supramolecular structures, is a powerful bottom-up strategy for fabricating nanostructures, with examples including liquid crystals, light-harvesting complexes, and protein-based materials [1]. Deciphering the mechanisms driving these self-assembly processes is essential to unlocking nature's efficient design principles. However, this task is complicated by the intricate interactions among components, which govern the transient stages of self-assembly and influence the final structures. The high degree of molecular disorder and the wide range of relevant timescales further challenge our ability to study these processes. Conventional imaging techniques, such as x-ray or electron-based methods, often fail to capture the detailed molecular dynamics due to these inherent complexities [2].</p
Thinking with an Accent
Get PDFThinking with an Accent casts accent as a powerfully coded yet underexplored mode of perception shaping our global cultural economy. Theorizing accent as a mediatized object, an interdisciplinary method, and an embodied practice, this volume invites readers to think with an accent—to practice a dialogical, multisensorial inquiry that can yield transformative modalities of knowledge, action, and care.
“There is no such thing as a voice without an accent, yet theories of voice still treat accents as the exception. Thinking with an Accent teaches us how to begin from accented voices and provides a panoply of tools for imagining, working with, building on, analyzing, and desiring accents.” — JONATHAN STERNE, author of Diminished Faculties: A Political Phenomenology of Impairment
“This creative and ambitious collection encourages us to reconsider our own accented lives and how they structure our social, digital, and literary worlds. An essential book.” — DOLORES INÉS CASILLAS, author of Sounds of Belonging: U.S. Spanish-Language Radio and Public Advocacy
“This book teaches us that the accent must be understood not as an ontological reality but as a co-constituted happening. The result is that accent becomes something to think with, not just to study. Straightforward, well argued, and a pleasure to read.” — KAREEM KHUBCHANDANI, author of Ishtyle: Accenting Gay Indian Nightlife
Nrf2 deficiency influences susceptibility to steroid resistance via HDAC2 reduction
Get PDFAbnormal lung inflammation and oxidant burden are associated with a significant reduction in histone deacetylase 2 (HDAC2) abundance and steroid resistance. We hypothesized that Nrf2 regulates steroid sensitivity via HDAC2 in response to inflammation in mouse lung. Furthermore, HDAC2 deficiency leads to steroid resistance in attenuating lung inflammatory response, which may be due to oxidant/antioxidant imbalance. Loss of antioxidant transcription factor Nrf2 resulted in decreased HDAC2 level in lung, and increased inflammatory lung response which was not reversed by steroid. Thus, steroid resistance or inability of steroids to control lung inflammatory response is dependent on Nrf2-HDAC2 axis. These findings have implications in steroid resistance, particularly during the conditions of oxidative stress when the lungs are more susceptible to inflammatory response, which is seen in patients with chronic obstructive pulmonary disease, asthma, rheumatoid arthritis, and inflammatory bowel disease
Thinking with an Accent
No full textThinking with an Accent casts accent as a powerfully coded yet underexplored mode of perception shaping our global cultural economy. Theorizing accent as a mediatized object, an interdisciplinary method, and an embodied practice, this volume invites readers to think with an accent—to practice a dialogical, multisensorial inquiry that can yield transformative modalities of knowledge, action, and care.
“There is no such thing as a voice without an accent, yet theories of voice still treat accents as the exception. Thinking with an Accent teaches us how to begin from accented voices and provides a panoply of tools for imagining, working with, building on, analyzing, and desiring accents.” — JONATHAN STERNE, author of Diminished Faculties: A Political Phenomenology of Impairment
“This creative and ambitious collection encourages us to reconsider our own accented lives and how they structure our social, digital, and literary worlds. An essential book.” — DOLORES INÉS CASILLAS, author of Sounds of Belonging: U.S. Spanish-Language Radio and Public Advocacy
“This book teaches us that the accent must be understood not as an ontological reality but as a co-constituted happening. The result is that accent becomes something to think with, not just to study. Straightforward, well argued, and a pleasure to read.” — KAREEM KHUBCHANDANI, author of Ishtyle: Accenting Gay Indian Nightlife
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