Publications by authors named "M Montserrat Martinez"

Autonomic dysfunction is associated with cardiovascular and neurological disease, including hypertension, heart failure, anxiety, and stress-related disorders. Prior studies demonstrated that late gestation exposure to dexamethasone (DEX) resulted in female-biased increases in stress-responsive mean arterial pressure (MAP) and heart rate (HR), suggesting a role for glucocorticoid-mediated programming of autonomic dysfunction. The present study investigated the influence of sympathetic (SYM) or parasympathetic (PS) blockade on cardiovascular function in male and female rat offspring of mothers injected with DEX (gestation days [GD]18-21).

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Introduction: More than 40% of Americans are considered obese, resulting in annual healthcare costs estimated at $173 billion., Various interventions exist to address obesity including lifestyle modification, medications, and several surgical options. A novel ingestible intragastric balloon that self-deflates and is excreted approximately four months post-ingestion is being used in other countries such as Australia, Mexico, and several European countries.

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Introduction: High-frequency recurring orders placed through the electronic medical record (EMR) may contribute to unnecessary care in hospitalised patients. This quality initiative sought to develop and pilot test a hospital order set for bundled review and de-implementation of common recurring orders.

Methods: A voluntary-use EMR order set was developed to display low-frequency order alternatives for common hospital care components.

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Due to increasing mobility and energy conservation needs, improving bus and coach safety without adding weight is essential. Many crashes with fatal outcomes for vehicle occupants are associated with the rollover of the vehicle, revealing the structural weakness of the steel pillars between windows, which must resist high levels of bending during rollovers. This study aims to reinforce these pillars with expired carbon fiber prepreg from the aircraft industry, improving safety and reducing environmental waste.

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Multispectral autofluorescence lifetime imaging systems have recently been developed to quickly and non-invasively assess tissue properties for applications in oral cancer diagnosis. As a non-traditional imaging modality, the autofluorescence signal collected from the system cannot be directly visually assessed by a clinician and a model is needed to generate a diagnosis for each image. However, training a deep learning model from scratch on small multispectral autofluorescence datasets can fail due to inter-patient variability, poor initialization, and overfitting.

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