128 research outputs found
The Political Economy of the Corporation: Sahil Jai Duta Interviews Sandy Brian Hager
No full textPERC’s Sahil Jai Dutta is joined by Dr Sandy Brian Hager (City, University of London) to discuss the political economy of the corporation. He is the author of the book Public Debt, Inequality, and Power: The Making of a Modern Debt State (2016) published by University of California Press. The conversation spans across the topics of ownership and the politics of public debt, the power of large banks in the US, and his most recent work exploring what drives long-term shifts in the stock markets in the ‘advanced’ economies
The Political Economy of the Corporation: Sahil Jai Duta Interviews Sandy Brian Hager
No full textPERC’s Sahil Jai Dutta is joined by Dr Sandy Brian Hager (City, University of London) to discuss the political economy of the corporation. He is the author of the book Public Debt, Inequality, and Power: The Making of a Modern Debt State (2016) published by University of California Press. The conversation spans across the topics of ownership and the politics of public debt, the power of large banks in the US, and his most recent work exploring what drives long-term shifts in the stock markets in the ‘advanced’ economies
Microsoft SharePoint 2010: Building Solutions for SharePoint 2010
No full textThis book provides a fresh take on Microsoft's premier collaboration solution. A critical resource if you're developing on the SharePoint platform, this book features a complete focus on the new features and capabilities of SharePoint 2010. Through a thorough treatment of sites, web parts, data management, portal solutions, and business intelligence capabilities, you'll appreciate author Sahil Malik's concise yet highly readable text. With this book, you'll gain intermediate-level guidance for designing and deploying exciting business solutions based on Microsoft SharePoint 2010. What you'll
Role of Cardiolipin Content and Acyl Chain Composition in Mitochondrial-Mimicking Monolayers
No full textCardiolipin (CL) is a mitochondrial phospholipid that plays a fundamental role in maintaining inner membrane (IMM) structure-function. In several metabolic diseases, CL is shown to undergo alterations in content and acyl chain composition, though there is still debate as to which alteration is the major contributor to pathology. Therefore, this study distinguished the roles of CL content and acyl chain composition on influencing IMM biophysical organization. We utilized Langmuir monolayers to study lipid packing properties of CL, from which we conducted secondary analyses on membrane properties such as elasticity, thermodynamics of mixing, and miscibility. Our data demonstrated that a decrease in CL content and extreme acyl chain remodeling impaired biophysical properties of mitochondrial-mimicking monolayers. However, modest acyl chain remodeling did not have a significant impact on these properties. These findings are crucial for the better design of CL-specific, mitochondrial-targeted therapeutics for metabolic diseases.Bachelor of Science in Public Healt
Supplementary_Material_2 – Supplemental material for The Ottawa Panel guidelines on programmes involving therapeutic exercise for the management of hand osteoarthritis
No full textSupplemental material, Supplementary_Material_2 for The Ottawa Panel guidelines on programmes involving therapeutic exercise for the management of hand osteoarthritis by Lucie Brosseau, Odette Thevenot, Olivia MacKiddie, Jade Taki, George A Wells, Paulette Guitard, Guillaume Léonard, Nicole Paquet, Sibel Z Aydin, Karine Toupin-April, Sabrina Cavallo, Rikke Helene Moe, Kamran Shaikh, Wendy Gifford, Laurianne Loew, Gino De Angelis, Shirin Mehdi Shallwani, Ala’ S Aburub, Aline Mizusaki Imoto, Prinon Rahman, Inmaculada C Álvarez Gallardo, Milkana Borges Cosic, Nina Østerås, Sabrina Lue, Tokiko Hamasaki, Nathaly Gaudreault, Tanveer E Towheed, Sahil Koppikar, Ingvild Kjeken, Dharini Mahendira, Glen P Kenny, Gail Paterson, Marie Westby, Lucie Laferrière and Guy Longchamp in Clinical Rehabilitation</p
Multi-Cloud Smart Deploy: An AI-Based CI/CD Optimization with Kubernetes Rollback Strategy
No full textWith the rise of cloud-native applications, we are once again faced with new challenges in terms of deployment orchestration, performance optimization, rollback strategies across multi-cloud environment, etc. The research focuses on a motivating problem statement around efficient deployment of containerized applications in multiple environments including GCP, Azure and AWS with effective monitoring and AI driven performance analysis. Continuous integration and continuous deployment. CI/CD pipelines are a must-have in the industry right now, but they are still largely confined to single-cloud scopes. In this article, we focus on innovative multi-cloud CI/CD deployment with Kubernetes cluster roll back integrated with auto AI based evaluation. The solution developed in this project is utilized as a GitHub Actions driven CI/CD pipeline responsible for the dynamic build, test, and deployment of a Django web application to Kubernetes clusters hosted over GCP, Azure, and AWS. Logs collected automatically and merged include post-deployment metrics such as startup time, rollout duration, and resource usage. Their inputs are logged from four machine learning models running inside Azure Machine Learning (Azure ML), which analyze cloud performance according to training accuracy and inference metrics. Under this systems pipeline architecture, intelligent decisions can be made on which cloud provider is best in the various scenarios. The implementation also provides Kubernetes rollback functionality to reverse bad deployments leading to enhancing reliability and service availability. The project enables key DevOps practices and machine learning workflows in a fully automated manner. The results show consistent and correct training through the ML pipeline, and evidence-based cloud selection. Overall, the proposed system provides greater resiliency, better performance visibility, and automatic rollback, as compared to traditional static deploy. Therefore, we strongly encourage the use of the proposed system in industrial multi-cloud deployments. In sum, the system shines on all axes we tested, and we leave more fine-grained resource profiling and predictive scaling for future work. This new effort is a major step forward in automating and intelligently delivering cloud-agnostic applications
Design of a working model of an upper limb prosthesis: wrist mechanism
No full textThis thesis demonstrates a new design for an upper limb prosthetic wrist that gives 3 independent degrees of freedom (DOFs) through individual mechanisms. A human wrist has 3 degrees of freedom i.e. Flexion-Extension, Radial- Ulnar deviation and Pronation-Supination. The upper limb prostheses that are currently available in the market generally provide 1 (usually Pronation- Supination) or at most 2 degrees of freedom, which is not su cient for daily life. For this thesis, a new wrist having all the 3 DOFs was designed in the SolidWorks software, a prototype was 3D printed and a basic analysis of the mechanical properties of the model through SolidWorks simulation was carried out. The prototype mechanisms were then connected to servo motors, with potentiometers as their inputs, that were programmed through an arduino and were tested to see if they work as expected. Faithful recreation of the wrist motions was achieved and the range of motion (ROM) of this prosthesis was similar to the ROM of an actual human wrist. This thesis also looks at the other prostheses that are available in the market or are under development and their limitations are discussed. The goal of this thesis is to present a design of an upper limb prosthesis which addresses some of the limitations while also encouraging further research and development in this eld and will hopefully result in more people with amputations choosing to use prosthetics in their daily lives.M.S.Includes bibliographical referencesby Sahil Vikas Dang
Measurement of the residence time distribution of FCC catalyst in rotary kilns
No full textContinuous rotary kilns are among the most widely used solid handling equipment for industrial applications such as drying, incineration, mixing, pre-heating, humidification, calcining, and gas-solid reactions. Longer residence times prove beneficial in ensuring that all particles have been treated sufficiently, but this can lead to large material and energy costs. As a result, efficient calcination will require shorter residence time and lower axial dispersion. The purpose of this research is to contribute towards a better understanding of these mass transfer mechanisms in rotary kilns, using industrially relevant equipment and operating conditions directed towards large-scale catalyst manufacturing. In this work, the residence time distribution and axial dispersion coefficient for a free flowing fluid cracking catalyst (FCC) powder is measured in pilot-scale kilns using a tracer study developed by Danckwerts (1952). The tracer study was used to determine residence time distributions for different sets of operating parameters, which were successfully matched to the Taylor fit of the axial dispersion model and the Sullivan prediction for mean residence time. It was found that the mean residence time and axial dispersion coefficient varied inversely with rotary speed of the kiln. The bed depths corresponding to respective flow regimes in such a calcination system were not previously reported. The predictive models showed accuracy for the system considered, even at fill levels <1% which was not the case in previously reported studies with cohesive powders.M.S.Includes bibliographical referencesby Sahil Suleman Navodi
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