Browsing by Title
Now showing items 5082-5101 of 6421
-
Steady State Dynamics Of Systems With Fractional Order Derivative Damping Models
(2011-01-10)Rubber like materials find wide applications in damping treatment of structures, vibration isolations and they appear prominently in the form of hoses in many structures such as aircraft engines. The study reported in this ... -
Steady state properties of discrete and continuous models of nonequilibrium phenomena
The understanding of nonequilibrium phenomena, of fundamental importance in statistical physics, has great implications for many physical, chemical, and biological systems. Such phenomena are observed almost everywhere ... -
Stereochemical And Synthetic Investigations
(2017-05-25)PART I RESOLUTION AND DESYMMETRISATION Chapter I. ‘A Novel Racemate Resolution’. This describes a novel resolution strategy as applied to racemic α-amino acids in the solid state. The strategy is based on the possibility ... -
Stereochemical studies on peptide and protein structures: Implications for validation, flexibility, and dynamics
Accuracy of 3-D structures of proteins is crucial, both in terms of its agreement with the experimental data used to determine the structure and stereochemistry, especially when they are utilized for applications like drug ... -
Stereocontrol through Catalytic Enantioselective C(sp2)−H and C(sp3)−H Alkylation: From Bifunctional Organocatalysis to Iridium-Catalysis
This thesis, entitled “Stereocontrol through Catalytic Enantioselective C(sp2)−H and C(sp3)−H Alkylation: From Bifunctional Organocatalysis to Iridium-Catalysis” primarily deals with the development of various catalytic ... -
Stereoselective synthesis of functionalized allenes, total synthesis of monticolides A and B, and towards the total synthesis of tulearin C
The thesis, entitled as “Stereoselective synthesis of functionalized allenes, Total synthesis of Monticolides A and B, and towards the total synthesis of Tulearin C” is divided into two chapters. Section A chapter-1 deals ... -
Steroselective Synthesis Of Bio-Active Styryllactones
(2010-08-06)The thesis titled “Stereoselective synthesis of bio-active styryllactones” comprises an introduction about styryllactones and three sections delineating the results and discussion about the synthesis of styryllactones and ... -
Stimuli Responsive Multilayer Thin Films And Microcapsules Of Polymers Via Layer-By-Layer Self-Assembly
(2013-06-03)The present thesis focuses on the selection of polymers and methods to fabricate stable and stimuli responsive multilayer self-assembly via layer-by-layer (LbL) approach. The polymers utilized in this study are biodegradable ... -
Stimulus statistics and HCN current mediated resonance sets the scale of input-output mapping in Stellate cells of the Medial Entorhinal Cortex
The functional significance of the computations performed by Stellate cells of the Medial Entorhinal Cortex, proven time and again, makes them insightful, yet intriguing. The gradients of the intrinsic properties of these ... -
Stirring and mixing driven by mesoscale eddies in the stratified Bay of Bengal
The stirring of passive tracers driven by altimetry-derived daily surface geostrophic currents is studied on subseasonal timescales in the Bay of Bengal. Advection of latitudinal and longitudinal bands highlights the chaotic ... -
Stochastic Analysis Of Flow And Solute Transport In Heterogeneous Porous Media Using Perturbation Approach
(2009-04-16)Analysis of flow and solute transport problem in porous media are affected by uncertainty inbuilt both in boundary conditions and spatial variability in system parameters. The experimental investigation reveals that the ... -
Stochastic Approximation Algorithms with Set-valued Dynamics : Theory and Applications
(2018-07-05)Stochastic approximation algorithms encompass a class of iterative schemes that converge to a sought value through a series of successive approximations. Such algorithms converge even when the observations are erroneous. ... -
Stochastic Approximation with Markov Noise: Analysis and applications in reinforcement learning
Stochastic approximation algorithms are sequential non-parametric methods for finding a zero or minimum of a function in the situation where only the noisy observations of the function values are available. Two time-scale ... -
Stochastic approximation with set-valued maps and Markov noise: Theoretical foundations and applications
Stochastic approximation algorithms produce estimates of a desired solution using noisy real world data. Introduced by Robbins and Monro, in 1951, stochastic approximation techniques have been instrumental in the asymptotic ... -
Stochastic Chemical Kinetics : A Study on hTREK1 Potassium Channel
(2018-04-03)Chemical reactions involving small number of reacting molecules are noisy processes. They are simulated using stochastic simulation algorithms like the Gillespie SSA, which are valid when the reaction environment is ... -
Stochastic Differential Games In A Bounded Domain
(2012-11-21)