I-RANT: Training session on a novel, scripted, bystander microaggression intervention tool for medical students.

Background: Microaggressions, subtle and often unintentional acts of hostility, have been recognized as a significant issue in healthcare, adversely affecting learners' emotional and physical well-being. Current strategies for addressing microaggressions are broad frameworks without empirical substantiation that leave learners without a clear direction for intervention. This study introduces a novel scripted, succinct, bystander intervention tool to combat microaggressions.

Low Complexity Radar Gesture Recognition Using Synthetic Training Data.

Developments in radio detection and ranging (radar) technology have made hand gesture recognition feasible. In heat map-based gesture recognition, feature images have a large size and require complex neural networks to extract information. Machine learning methods typically require large amounts of data and collecting hand gestures with radar is time- and energy-consuming.

Proteomic profiling identifies CLEC4C expression as a novel biomarker of primary graft dysfunction after heart transplantation.

Purpose: Clinical models to identify patients at high risk of primary graft dysfunction (PGD) after heart transplantation (HT) are limited, and the underlying pathophysiology of this common post-transplant complication remains poorly understood. We sought to identify whether pre-transplant levels of circulating proteins reporting on immune activation and inflammation are associated with incident PGD.

Methods: The study population consisted of 219 adult heart transplant recipients identified between 2016 and 2020 at Duke University Medical Center, randomly divided into derivation (n = 131) and validation (n = 88) sets.

Multi-Channel RF Supervision Module for Thermal Magnetic Resonance Based Cancer Therapy.

Glioblastoma multiforme (GBM) is the most lethal and common brain tumor. Combining hyperthermia with chemotherapy and/or radiotherapy improves the survival of GBM patients. Thermal magnetic resonance (ThermalMR) is a hyperthermia variant that exploits radio frequency (RF)-induced heating to examine the role of temperature in biological systems and disease.

Design, Implementation, Evaluation and Application of a 32-Channel Radio Frequency Signal Generator for Thermal Magnetic Resonance Based Anti-Cancer Treatment.

Thermal Magnetic Resonance (ThermalMR) leverages radio frequency (RF)-induced heating to examine the role of temperature in biological systems and disease. To advance RF heating with multi-channel RF antenna arrays and overcome the shortcomings of current RF signal sources, this work reports on a 32-channel modular signal generator (SG). The SG was designed around phase-locked loop (PLL) chips and a field-programmable gate array chip.