Publications by authors named "L Cassidy"

Background: Timely emergency medical services (EMS) are particularly important among trauma patients, as inefficient EMS systems can result in potentially avoidable death before reaching a hospital. The Dhulikhel Hospital Dispatch Center coordinates and monitors a growing network of ambulances, including seven Type B ambulances staffed with a trained prehospital care provider and medical equipment. This study evaluates the prehospital care and outcomes of trauma patients transported by Type B ambulances to Dhulikhel Hospital's Emergency Department, as monitored by the Dispatch Center.

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Roman writers found the relative empowerment of Celtic women remarkable. In southern Britain, the Late Iron Age Durotriges tribe often buried women with substantial grave goods. Here we analyse 57 ancient genomes from Durotrigian burial sites and find an extended kin group centred around a single maternal lineage, with unrelated (presumably inward migrating) burials being predominantly male.

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  • Bacterial dormancy helps bacteria survive stress, with toxins like TisB playing a role in inducing this state and promoting stress tolerance.
  • A new moderate expression system was developed to study TisB, revealing its impact on cellular function by causing protein aggregation and impacting recovery from dormancy.
  • TisB was found to be crucial for protein aggregation and enhanced dormancy during antibiotic exposure, highlighting its role in bacterial survival under stress.
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  • Methanosarcina mazei strain Gö1 is a significant organism in climate research due to its methane production, and a new Ribo-seq protocol was developed to study its protein translation under different nitrogen availability conditions.
  • The study identified and confidently predicted the translation of numerous small open reading frames (ORFs), with validation provided through LC-MS and immunoblotting analyses.
  • A detailed differential analysis revealed that many small ORFs are regulated by nitrogen levels, highlighting their potential physiological roles and the importance of small RNAs in nitrogen metabolism within this archaeal model.
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In our article, we explore the transformative potential of Artificial Intelligence and Machine Learning in oculo-oncology, focusing on the diagnosis and management of ocular adnexal tumors. Delving into the intricacies of adnexal conditions such as conjunctival melanoma and squamous conjunctival carcinoma, the study emphasizes recent breakthroughs, such as Artificial Intelligence-driven early detection methods. While acknowledging challenges like the scarcity of specialized datasets and issues in standardizing image capture, the research underscores encouraging patient acceptance, as demonstrated in melanoma diagnosis studies.

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