Publications by authors named "D James Harris"

Article Synopsis
  • Alzheimer's disease (AD) is characterized by various pathological features including amyloid-β deposition and tau hyperphosphorylation, with cerebral microvascular dysfunction likely playing a role in its progression.
  • Researchers investigated the microvascular responses and potassium channel activity in an AD mouse model induced by streptozotocin (STZ), using behavioral tests and cellular assays.
  • The study found that STZ-AD mice showed poorer performance on behavioral tests and had impaired microvascular responses, which were further deteriorated by exposure to soluble Aβ, indicating a potential link between microvascular dysfunction and AD pathology.
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Objectives: Structured data fields, including medication fields involving naloxone, are routinely used to identify opioid overdoses in emergency medical services (EMS) data; between January 2021 and March 2024, there were approximately 1.2 million instances of naloxone administration. in the United States.

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The murine hepatitis virus (MHV) is an important model system for studying coronavirus (CoV) molecular and cell biology. Despite this, few reagents for MHV are available through repositories such as ATCC or Addgene, potentially limiting the widespread adoption of MHV as a tractable model system. To overcome some challenges inherent in the existing MHV reverse genetics systems, we developed a plasmid-launched transformation-associated recombination (TAR) cloning-based system to assemble the MHV (strain A59; MHV-A59) genome.

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Introduction: Food policy councils (FPCs) are frequently used to facilitate change in food systems at the local, state, and regional levels, or in tribal nations. The objective of this study was to describe the prevalence of food policy councils and similar coalitions among US municipalities and their associations with healthy food access policies.

Methods: We used data from the 2021 National Survey of Community-Based Policy and Environmental Supports for Healthy Eating and Active Living, administered to municipal officials from May through September 2021.

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Background: Chronic liver disease (CLD) is a substantial cause of morbidity and mortality worldwide. Liver stiffness, as measured by MR elastography (MRE), is well-accepted as a surrogate marker of liver fibrosis.

Purpose: To develop and validate deep learning (DL) models for predicting MRE-derived liver stiffness using routine clinical non-contrast abdominal T1-weighted (T1w) and T2-weighted (T2w) data from multiple institutions/system manufacturers in pediatric and adult patients.

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