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- 389Agricultural, Food and Nutritional Science, Department of/Journal Articles (Agricultural, Food and Nutritional Science)
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2021-03-01
Godziuk, Kristine, Prado, Carla M., Beaupre, Lauren, Jones, C.Allyson, Werle, Jason, Forhan, Mary
Objective: Increased infection risk after total knee arthroplasty (TKA) in patients with a higher body mass index (BMI), particularly a BMI ≥40 kg/m2, suggests that BMI reduction (through weight loss) prior to TKA may be important. However, the impact of weight loss on TKA risk reduction is...
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Use of Digital Technologies in the Nutritional Management of Catabolism-Prone Chronic Diseases: A Rapid Review
Download2021-12-01
Cruz, Christofer, Prado, Carla M., Punja, Salima, Tandon, Puneeta
Background: Diet and nutrition applications (apps) have become more readily accessible as smartphone ownership increases. These apps have the potential to improve nutritional outcomes, but it remains unclear whether they are effective in patients with catabolism-prone conditions and specialized...
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Massively Parallel Hybrid TLM-PEEC Solver and Model Order Reduction for 3D Nonlinear Electromagnetic Transient Analysis
Download2024-10-01
Madhawa Ranasinghe, Venkata Dinavahi
Electromagnetic (EM) equipment are ubiquitous in electrical power generation, transmission, and distribution systems, and they should be studied for reliable and continuous operation under switching operations, faults, and other transient conditions. Conventional lumped models lack the capability...
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Total energy expenditure assessed by 24-h whole-room indirect calorimeter in patients with colorectal cancer: baseline findings from the PRIMe study
Download2023-08-01
Ford, Katherine L, Pichard, Claude, Sawyer, Michael B., Trottier, Claire F, Disi, Ilana Roitman, Purcell, Sarah A, Ghosh, Sunita, Siervo, Mario, Deutz, Nicolaas E. P., Prado, Carla M.
Background Total energy expenditure (TEE) determines energy requirements, but objective data in patients with cancer are limited. Objectives We aimed to characterize TEE, investigate its predictors, and compare TEE with cancer-specific predicted energy requirements. Methods This cross-sectional...
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2023-10-04
Discusses the implications of the use of generative AI in research and in information science research. The article poses a critical question: How do we re-define and re-imagine information integrity and academic integrity in our increasingly AI-enhanced scholarly and academic environment to...
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Hardware-in-the-Loop Real-Time Transient Emulation of Large-Scale Renewable Energy Installations Based on Hybrid Machine Learning Modeling
Download2024-07-01
Ruogu Chen, Tianshi Cheng, Ning Lin, Tian Liang, Venkata Dinavahi
For the integration of large-scale renewable energy resources into power grids, the complex and dynamic behavior of Inverter-Based Resources (IBRs), such as wind farms, photovoltaic (PV) arrays, and battery energy storage systems (BESSs), poses significant challenges. Traditional models often...
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Detailed Modeling of a Practical 1400MW Hydropower Plant and Real-Time Hardware Emulation For Governor Tuning Application
Download2024-08-01
Ritu Tiwari, Thanga Raj Chelliah, Venkata Dinavahi
This paper presents the detailed nonlinear mathematical model of a 1400MW hydro power plant (HPP) and it’s faster than real-time dynamic emulation on hardware architecture of the field programmable gate arrays (FPGA). This model is used to study the interactive effect of hydro turbine governor...