Objective: The objective of the study was to estimate glomerular filtration rate (eGFR) and renal dimension and establish a correlation with age, weight, height, body mass index (BMI), and body surface area (BSA) of children and to measure renal dimensions (craniocaudal length, anteroposterior length, and transverse length) of both kidneys of 1–10 years children.
Methods: A total of 500 children from 1 to 10 years old were screened by ultrasonography to measure renal craniocaudal length, anteroposterior length, and transverse width of the kidney. Length, width, thickness, and cortical size of the kidneys were also measured.
Results: There was a positive correlation of renal dimension with age, weight, height, BMI, and BSA. There also was a positive correlation of eGFR with other renal parameters.
Conclusion: Renal dimension and eGFR were correlate with age, weight, height, BMI, and BSA in children.
This thesis investigates how users want to control IoT devices in their homes with headset AR. Gestural and voice controls are both suitable methods of input for headset AR. However, there is a lack of end-user input in the design of such gestures and voice commands: especially in comparative terms. An elicitation study is performed with 16 participants to gather their preferred voice commands and gestures for a set of referents. The contribution is an analysis of 784 inputs (392 gestures and 392 voice), a resulting gesture set and command types, comparative method preferences, a novel method to analyze voice command input (called voice command pattern template), as well as design recommendations based on observations and interviews. These recommendations serve as guides for future designers and implementors of such voice commands and gestures.
For this demo, we will show two interactive visualizations: Energy Futures and Pipeline Incidents. We designed and developed these visualizations as part of an open data initiative that aims to create interactive data visualizations to help make Canada's energy data publicly accessible, transparent, and understandable. This work was conducted in collaboration with the National Energy Board of Canada (NEB) and a visualization software development company, VizworX.
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