Publications by authors named "A Rezania"

Article Synopsis
  • - This paper examines the development of piezoelectric energy harvesting systems designed to replace batteries in leadless intracardiac pacemakers, fitting within the existing battery compartment.
  • - The study uses three-dimensional finite element analysis and in-vivo heart measurements to assess power output, finding that heart motion can be harnessed as a renewable energy source.
  • - Key findings indicate that the energy harvester can generate 1.1 V by capturing energy from periodic cardiac motion, suggesting a promising future for self-powered medical devices like pacemakers.
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Background: Diabetes is a disease affecting over 500 million people globally due to insulin insufficiency or insensitivity. For individuals with type 1 diabetes, pancreatic islet transplantation can help regulate their blood glucose levels. However, the scarcity of cadaveric donor islets limits the number of people that could receive this therapy.

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This paper studies the possibility of heart kinetic motion for designing a self-powered intracardiac leadless pacemaker by piezoelectric energy harvesting. A Doppler laser displacement sensor measures in vivo heart kinetic motion. Cantilevered and four-point bending piezoelectric harvesters are studied under the measured in vivo heart kinetic motion.

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Unlabelled: Few studies have examined the differentiation of human embryonic stem cell (hESC)-derived pancreatic endoderm cells (PECs) in different implantation sites. Here, we investigate the influence of implantation site and recipient sex on the differentiation of hESC-derived PECs in vivo. Male and female mice were implanted with 5 × 106 hESC-derived PECs under the kidney capsule, in the gonadal fat pad, or subcutaneously within macroencapsulation (TheraCyte) devices.

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Objectives: Assessment of recuperation and death times of a population inflicted by an epidemic has only been feasible through studying a sample of individuals via time-to-event analysis, which requires identified participants. Therefore, we aimed to introduce an original model to estimate the average recovery/death times of infected population of contagious diseases without the need to undertake survival analysis and just through the data of unidentified infected, recovered and dead cases.

Design: Cross-sectional study.

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