FALL INJURIES IN OLDER ADULTS IN A USA-MEXICO BORDER COMMUNITY: PERSONAL CHARACTERISTICS, FALL EVENT AND EMERGENCY MEDICAL SYSTEM UTILIZATION

Fall Injuries In Older Adults in a USA-Mexico Border Community: Personal Characteristics, Fall Event and Emergency Medical System Utilization

Unintentional falls are a major problem affecting the lives of older adults and considered a public health issue likely to escalate as the older adult population, 60 years old and older, grow exponentially.One out of every three older adults fall yearly with escalating severity of injury with each occurrence and it is the fourth leading cause of de

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Case report: Metastatic metaplastic breast cancer with choriocarinomatous features: Targeting the choriocarcinoma component for cure

Breast cancer with choriocarcinomatous features (BCCF) is a rare and aggressive breast cancer.BCCF carries a poor prognosis and there is unfortunately scant literature to guide treatment beyond surgical resection with most patients receiving standard regimens for breast cancer.In our case, we present a 42-year-old female with an initial hCG markbro

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Error Analysis and Model Adaptivity for Flows in Gas Networks

In the simulation and optimization of natural gas flow in a pipeline network, a hierarchy of models is used that employs different formulations of the Euler equations.While the optimization is performed on piecewise linear models, the flow simulation is based on the one to three dimensional Euler equations including the temperature distributions.To

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Causal machine learning models for predicting low birth weight in midwife-led continuity care intervention in North Shoa Zone, Ethiopia

Abstract Background Low birth weight (LBW) is a critical global health issue rosy teacup dogwood that affects infants disproportionately, particularly in developing countries.This study adopted causal machine learning (CML) algorithms for predicting LBW in newborns, drawing from midwife-led continuity care (MLCC).Methods A quasi-experimental study

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