873 research outputs found
The role of part structure in the perceptual localization of a shape
No full textThe process of object localization may be accomplished with respect to a particularreference location, such as the center of gravity, COG (eg Vishwanath and Kowler, 2003 VisionResearch 43 1637-1653). Here, we investigated how part structure affects an object's referencelocation. The reference location was evaluated with a measure of the illusory displacement of an internal target element embedded within a larger object (Morgan et al, 1990 Vision Research 30 1793-1810). To examine whether the reference location is different for shapes with part structure, two shapes were tested: circle (small and large; no part structure) and bell (shape with two parts, one larger than the other). Results were examined with respect to two predictions: either the location of an object is based on its shape as a whole, disregarding part structure (ie a single, overall COG), or the parts are processed separately (different COGs).With the circles, the results showed a systematic illusory displacement of the internal target toward the COG. With the bell, the illusion was significantly weaker than with both circles--even though the main part of the bell had the same size as the small circle, and its horizontal axis had the same extent as the large circle. Moreover, the distance judgments for the bell were consistent with a (weaker) reference point being located at the COG of the larger part, rather than at the COG of the entire bell. These results show that the part structure of a shape plays a role in the representation of its location, and that for complex shapes the perceived location of an embedded element depends more on the parts within which it is embedded, rather than on the whole shape.Supported by the Air Force Office of Scientific Research, Grant AF 49620- 02-1-0112, Life Sciences Directorate to Eileen Kowler, and by NSF, Grant BCS-0216944 to Manish Singh.AF 29620-02-1-0112; to Eileen KowlerNSF BCS-0216944; to Manish SinghDenisova, Kristina, Manish Singh, Eileen Kowler, 2006. The definitive, peer-reviewed and edited version of this article is published in Perception, 35, 1073-1087, DOI:10.1068/p5518
Appendix_2018_06_05 – Supplemental material for Comparing Five Comorbidity Indices to Predict Mortality in Chronic Kidney Disease: A Retrospective Cohort Study
No full textSupplemental material, Appendix_2018_06_05 for Comparing Five Comorbidity Indices to Predict Mortality in Chronic Kidney Disease: A Retrospective Cohort Study by Eric McArthur, Sarah E. Bota, Manish M. Sood, Gihad E. Nesrallah, S Joseph Kim, Amit X. Garg and Stephanie N. Dixon in Canadian Journal of Kidney Health and Disease</p
sj-docx-1-cjk-10.1177_20543581241229258 – Supplemental material for Impact of the 2021 CKD-EPI eGFR Equation on Kidney Care Referral Criteria in Ontario, Canada: A Population-based Cross-sectional Study
No full textSupplemental material, sj-docx-1-cjk-10.1177_20543581241229258 for Impact of the 2021 CKD-EPI eGFR Equation on Kidney Care Referral Criteria in Ontario, Canada: A Population-based Cross-sectional Study by Eric McArthur, Graham Smith, Manish M. Sood, Peter G. Blake, K. Scott Brimble, Flory T. Muanda, Amit X. Garg and Stephanie N. Dixon in Canadian Journal of Kidney Health and Disease</p
LKD_Validation_-_Appendix_-_20170822 – Supplemental material for Validation of Living Donor Nephrectomy Codes
No full textSupplemental material, LKD_Validation_-_Appendix_-_20170822 for Validation of Living Donor Nephrectomy Codes by Ngan N. Lam, Krista L. Lentine, Scott Klarenbach, Manish M. Sood, Paul J. Kuwornu, Kyla L. Naylor, Gregory A. Knoll, S. Joseph Kim, Ann Young and Amit X. Garg in Canadian Journal of Kidney Health and Disease</p
Anatomical variations in horseshoe kidney does not affect stone-free rate after percutaneous nephrolithotomy
No full textVisualizing hot carrier dynamics by nonlinear optical spectroscopy at the atomic length scale
No full textProbing and manipulating the spatiotemporal dynamics of hot carriers in
nanoscalemetals is crucial to a plethora of applications ranging from nonlinear
nanophotonics to single-molecule photochemistry. The direct investigation of
these highly non-equilibrium carriers requires the experimental capability of
high energy-resolution (~ meV) broadband femtosecond spectroscopy. When
considering the ultimate limits of atomic-scale structures, this capability has
remained out of reach until date. Using a two-color femtosecond pump-probe
spectroscopy,we present here the real-time tracking of hot carrier dynamics in
a well-defined plasmonic picocavity, formed in the tunnel junction of a scanning
tunneling microscope (STM). The excitation of hot carriers in the picocavity
enables ultrafast all-optical control over the broadband (~ eV) anti-
Stokes electronic resonance Raman scattering (ERRS) and the four-wave
mixing (FWM) signals generated at the atomic length scale. By mapping the
ERRS and FWM signals from a single graphene nanoribbon (GNR), we
demonstrate that both signals are more efficiently generated along the edges
of the GNR — a manifestation of atomic-scale nonlinear optical microscopy
sj-pdf-1-cjk-10.1177_20543581211041182 – Supplemental material for MyTEMP: Statistical Analysis Plan of a Registry-Based, Cluster-Randomized Clinical Trial
No full textSupplemental material, sj-pdf-1-cjk-10.1177_20543581211041182 for MyTEMP: Statistical Analysis Plan of a Registry-Based, Cluster-Randomized Clinical Trial by Stephanie N. Dixon, Jessica M. Sontrop, Ahmed Al-Jaishi, Lauren Killin, Christopher W. McIntyre, Sierra Anderson, Amit Bagga, Derek Benjamin, Peter Blake, P. J. Devereaux, Eduard Iliescu, Arsh Jain, Charmaine E. Lok, Gihad Nesrallah, Matthew J. Oliver, Sanjay Pandeya, Manish M. Sood, Paul Tam, Ron Wald, Michael Walsh, Merrick Zwarenstein and Amit X. Garg in Canadian Journal of Kidney Health and Disease</p
Detailed information about mimicry proteins, peptides and the associated autoimmune diseases of bacteria, viruses and hosts.
No full textThe data was obtained from miPepBase database (Garg et al. (2016), Frontiers in Microbiology). (XLSX)</p
Dynamic modeling and forecasting algorithms for financial data systems
No full textIt is a valid question that why a Control Systems Engineer would be interested in dealing with financial instruments. Financial instruments involving option theory are very elegant, math oriented and practical. These mathematical tools have created a new industry known as 'Derivative Industry' or 'Hedge-Fund Industry' or so called 'Risk-Management Industry'. This thesis is aimed at developing investment strategies involving the decision making needs via control system techniques. The problem, in general, is computationally challenging particularly when investment of many securities is involved resulting in a high dimensional computational framework. Furthermore, complications may arise due to realistic restrictions and non-linearities. The various areas of financial engineering are very fertile for the application of the system methodology and control theory techniques. Modeling, optimization, identification and computational methods used in the Systems Engineering can be successfully applied to the financial instruments. The ideas developed in this thesis are more about the scientific reasoning involving financial instruments rather than specific situations alone. Major contribution of this thesis is the time series optimal prediction filter and the development of the Dynamic Modeling and Forecasting Algorithm (DMFA). The proposed algorithm predicts the next data point of the financial time series while dynamically computing the parameters from existing data. The computation of the parameters is optimized by use of the recursive matrix inversion algorithm. The system is solved via an innovative technique of inversion such that it avoids explicit inversion of more than a 2 X 2 matrix and computation of higher dimensional determinants and co-factors. This results in new contributions to computation finance and numerical methodology along with arbitrage decision and hedging strategies under market uncertainties as well as robust control applications. The minimum mean-square algorithm used assures system stability via poles within the unit circle. The DMFA method is a superior auto regression (AR) model as a general system of time-series realizations in-order to calculate the coefficients that fit the model for a better prediction. Theoretical modeling and market specific volatility models, updated volatility computation are derived from the observation data.Ph.D.Includes bibliographical referencesIncludes vitaby Manish Mahaja
Temporal inventory of glaciers in the Suru sub-basin, western Himalaya
No full textUpdated knowledge about the glacier extent and characteristics in the Himalaya cannot be overemphasised. Availability of precise glacier inventories in the latitudinally diverse western Himalayan region is particularly crucial. In this study we have created an inventory of the Suru sub-basin, western Himalaya for year 2017 using Landsat OLI data. Changes in glacier parameters have also been monitored from 1971 to 2017 using temporal satellite remote sensing data and limited field observations. Inventory data shows that the sub-basin has 252 glaciers covering 11% of the basin, having an average slope of 25 ±6° and dominantly north orientation. The average snow line altitude (SLA) of the basin is 5011 ±54 masl with smaller (47%) and cleaner (43%) glaciers occupying the bulk area. Longterm climate data (1901-2017) shows an increase in the mean annual temperature (Tmin & Tmax) by 0.77 ºC (0.25 & 1.3 ºC) in the sub-basin, driving the overall glacier variability in the region. Temporal analysis reveals a glacier shrinkage of ~6 ±0.02 %, an average rate of 4.3 ±1.02 ma-1, debris increase of 62% and 22 ±60 m SLA rise in past 46 years. This confirms their transitional response between the Karakoram and the Greater Himalayan Range (GHR) glaciers. Besides, glaciers in the sub-basin occupy two major ranges, i.e., GHR and Ladakh range (LR) and experience local climate variability, with the GHR glaciers exhibiting a warmer and wetter climate as compared to the LR glaciers. This variability manifestes itself in the varied response of GHR and LR glaciers. While the GHR glaciers exhibit an overall rise in SLA (GHR: 49 ±69 m; LR: decrease by 18 ±50 m), the LR glaciers have deglaciated more (LR: 7 %; GHR: 6 %) with an enhanced accumulation of debris cover (LR: 73%; GHR: 59 %). Inferences from this study reveal prevalence of glacier disintegration and overall degeneration, transition of clean ice to partially debris covered glaciers, local climate variability and non-climatic (topographic and morphometric) factor induced heterogeinty in glacier response as the major processes operatives in this region
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