5,774 research outputs found
Prevalence of poststroke dysphagia in India (Krishnamurthy et al., 2022)
No full textObjectives: This study aimed to determine the prevalence of reported dysphagia and associated pneumonia risk among patients with stroke in India. Method: We carried out a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The primary outcome of interest was dysphagia and pneumonia among patients with stroke in India. Two review authors independently assessed the quality of studies using the Newcastle–Ottawa Scale and extracted related data. Meta-analysis was performed for frequency of dysphagia, associated pneumonia, and its relative risk using a random-effects model. Statistical heterogeneity was computed using the I2 index.Results: A total of 3,644 titles were screened, and only eight studies met our inclusion criteria. Based on data from these studies, we calculated the pooled prevalence of dysphagia (47.71%; 95% confidence interval [CI] [20.49%, 70.92%], p p p Conclusions: Despite the high incidence of dysphagia and associated pneumonia, the methodological quality of studies is fair and there is little research focused on epidemiological data. We call to arms to those SLPs working with patients with stroke in India to become proactive in both clinical practice and research domains.Supplemental Material S1. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) chart. Krishnamurthy, R., Balasubramanium, R. K., & Premkumar, P. K. (2022). Systematic review and meta-analysis of dysphagia and associated pneumonia in patients with stroke from India: A call to arms. American Journal of Speech-Language Pathology. Advance online publication. https://doi.org/10.1044/2021_AJSLP-21-00175</div
GPU-accelerated depth map generation for X-ray simulations of complex CAD geometries
No full textInteractive x-ray simulations of complex computer-aided design (CAD) models can provide valuable insights for better interpretation of the defect signatures such as porosity from x-ray CT images. Generating the depth map along a particular direction for the given CAD geometry is the most compute-intensive step in x-ray simulations. We have developed a GPU-accelerated method for real-time generation of depth maps of complex CAD geometries. We preprocess complex components designed using commercial CAD systems using a custom CAD module and convert them into a fine user-defined surface tessellation. Our CAD module can be used by different simulators as well as handle complex geometries, including those that arise from complex castings and composite structures. We then make use of a parallel algorithm that runs on a graphics processing unit (GPU) to convert the finely-tessellated CAD model to a voxelized representation. The voxelized representation can enable heterogeneous modeling of the volume enclosed by the CAD model by assigning heterogeneous material properties in specific regions. The depth maps are generated from this voxelized representation with the help of a GPU-accelerated ray-casting algorithm. The GPU-accelerated ray-casting method enables interactive (> 60 frames-per-second) generation of the depth maps of complex CAD geometries. This enables arbitrarily rotation and slicing of the CAD model, leading to better interpretation of the x-ray images by the user. In addition, the depth maps can be used to aid directly in CT reconstruction algorithms.This proceeding may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This proceeding appeared in Grandin, Robert J., Gavin Young, Stephen D. Holland, and Adarsh Krishnamurthy. "GPU-accelerated depth map generation for X-ray simulations of complex CAD geometries." In AIP Conference Proceedings, vol. 1949, no. 1, p. 190002. AIP Publishing LLC, 2018, and may be found at
DOI: 10.1063/1.5031636.
Copyright 2018 Author(s).
Posted with permission
V. K. R. V. Rao, A. M. Khusro, C. H. Hanumantha Rao, P. C. Joshi, K. Krishnamurthy, Ajit K. Das, Inflation and India's economic crisis
No full textÉtienne Gilbert. V. K. R. V. Rao, A. M. Khusro, C. H. Hanumantha Rao, P. C. Joshi, K. Krishnamurthy, Ajit K. Das, Inflation and India's economic crisis. In: Tiers-Monde, tome 15, n°58, 1974. pp. 445-446
Incorporation of composite defects from ultrasonic NDE into CAD and FE models
No full textFiber-reinforced composites are widely used in aerospace industry due to their combined properties of high strength and low weight. However, owing to their complex structure, it is difficult to assess the impact of manufacturing defects and service damage on their residual life. While, ultrasonic testing (UT) is the preferred NDE method to identify the presence of defects in composites, there are no reasonable ways to model the damage and evaluate the structural integrity of composites. We have developed an automated framework to incorporate flaws and known composite damage automatically into a finite element analysis (FEA) model of composites, ultimately aiding in accessing the residual life of composites and make informed decisions regarding repairs. The framework can be used to generate a layer-by-layer 3D structural CAD model of the composite laminates replicating their manufacturing process. Outlines of structural defects, such as delaminations, are automatically detected from UT of the laminate and are incorporated into the CAD model between the appropriate layers. In addition, the framework allows for direct structural analysis of the resulting 3D CAD models with defects by automatically applying the appropriate boundary conditions. In this paper, we show a working proof-of-concept for the composite model builder with capabilities of incorporating delaminations between laminate layers and automatically preparing the CAD model for structural analysis using a FEA software.This proceeding may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This proceeding appeared in Bingol, Onur Rauf, Bryan Schiefelbein, Robert J. Grandin, Stephen D. Holland, and Adarsh Krishnamurthy. "Incorporation of composite defects from ultrasonic NDE into CAD and FE models." AIP Conference Proceedings 1806, no. 1, (2017): 150004. , and may be found at DOI: 10.1063/1.4974728. Posted with permission.</p
Energy storage sizing for plug-in electric vehicle charging stations
No full textTo support, plug-in electric vehicle (PEV) growth, there is a need to design and operate charging stations without increasing peak system demand. In this chapter, first, an overview of on-going demonstration and testing studies are presented to show the complexity of the actual charging infrastructures and uncertainties related to customer demand. Then, an analytical model for a large-scale charging station with an on-site energy storage unit is introduced. The charging system is modelled by a Markov-modulated Poisson Processes with a twodimensional Markov chain. A Matrix geometric based algorithm is used to solve steady state probability distribution to compute optimal energy storage size. Case studies are presented to show (i) the relationships between energy storage size, grid power and PEV demand and (ii) how on-site storage can reduce peak electricity consumption and the station’s monthly electricity bill
Optogenetic control of developmental signaling pathways
No full textHow a complex multicellular organism forms from a single cell is a question that defies simplistic understanding. Yet, embryonic developmental programs use a surprisingly small set of signaling pathways to pattern the embryonic tissue into germ layers from which the various tissues and organs emerge. A hallmark of embryonic development is that these recurring developmental signaling pathways are carefully orchestrated in space and time to facilitate proper development. Understanding the spatiotemporal intricacies of these pathways necessitates tools which enable their perturbation in precisely defined spatiotemporal patterns. Optogenetics uses light-induced conformational changes to enable or disable protein-protein interactions, thereby permitting control of signal transduction at the flip of a switch. Consequently, light is emerging as a powerful tool to study embryonic development owing to its rapid, reversible and residue-free application, which empowers the researcher with excellent spatial and temporal control of signaling. Here, I first review recent accomplishments in optical microscopy and optogenetics which highlight the dual roles of light in visualizing as well as perturbing cellular microenvironments and processes. Second, I present an optogenetic approach to control the mitogen-activated protein kinase (MAPK) pathway which we successfully applied in both neuroblasts and frog embryos. Third, I demonstrate an optogenetic approach to control the Wnt signaling pathway in mammalian cells and frog embryos. Finally, I propose and provide working proof for a generalizable optogenetic platform to control those developmental signaling pathways, the activities of which involve the homo-association of plasma membrane-localized receptor tyrosine kinases.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2021-12-01The student, Vishnu Vardhan Krishnamurthy, accepted the attached license on 2019-11-27 at 10:27.The student, Vishnu Vardhan Krishnamurthy, submitted this Dissertation for approval on 2019-11-27 at 10:29.This Dissertation was approved for publication on 2019-12-04 at 10:19.DSpace SAF Submission Ingestion Package generated from Vireo submission #14554 on 2020-02-28 at 17:36:14Made available in DSpace on 2020-03-02T22:38:43Z (GMT). No. of bitstreams: 3
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Previous issue date: 2019-12-04Embargo set by: Seth Robbins for item 113989
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sj-tif-2-bcb-10.1177_11782234211056134 – Supplemental material for Ultrastructural Analysis of Inflammatory Breast Cancer Cell Clusters in an Ex Vivo Environment Mechanically Mimicking the Lymph Vascular System
No full textSupplemental material, sj-tif-2-bcb-10.1177_11782234211056134 for Ultrastructural Analysis of Inflammatory Breast Cancer Cell Clusters in an Ex Vivo Environment Mechanically Mimicking the Lymph Vascular System by Yuka Fujii, Savitri Krishnamurthy and Randa El-Zein in Breast Cancer: Basic and Clinical Research</p
sj-tif-1-bcb-10.1177_11782234211056134 – Supplemental material for Ultrastructural Analysis of Inflammatory Breast Cancer Cell Clusters in an Ex Vivo Environment Mechanically Mimicking the Lymph Vascular System
No full textSupplemental material, sj-tif-1-bcb-10.1177_11782234211056134 for Ultrastructural Analysis of Inflammatory Breast Cancer Cell Clusters in an Ex Vivo Environment Mechanically Mimicking the Lymph Vascular System by Yuka Fujii, Savitri Krishnamurthy and Randa El-Zein in Breast Cancer: Basic and Clinical Research</p
Appendix – Supplemental material for Does Tai Chi improve balance and reduce falls incidence in neurological disorders? A systematic review and meta-analysis
No full textSupplemental material, Appendix for Does Tai Chi improve balance and reduce falls incidence in neurological disorders? A systematic review and meta-analysis by Stanley John Winser, William WN Tsang, Karthikeyan Krishnamurthy and Priya Kannan in Clinical Rehabilitation</p
Predictors of Complicated Staphylococcus Aureus Bacteremia: A Retrospective Validation Study
No full textKrishnamurthy, P., Predictors of Complicated Staphylococcus aureus Bacteremia (SAB): A Retrospective Validation Study. Master of Public Health (Epidemiology), April 2008, 57 pp, 9 tables, 1 illustration, bibliography, 39 titles. SAB often has a complicated clinical course and it is important to identify those at risk for complications to guide management. We conducted a validation study of a clinical prediction tool that uses a scoring system to predict the likelihood of developing complicated SAB. Chapter I is a review of background literature and rationale for our study. Chapter II has sections describing the study design, methods, eligibility criteria, statistical analysis and a summary of the results. We observed significantly higher complications among patients with SAB in our validation study. The prediction tool is not a valid predictor of complicated SAB and we recommend better prediction models to accurately predict complications of SAB
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