Publications by authors named "L M Moses"

Objective: To document veterinary technicians' (VTs') experiences with medical futility and its subsequent impact on moral distress and attrition from the profession.

Methods: A cross-sectional study using a 56-question web-based, confidential and anonymous survey was distributed through the National Association of Veterinary Technicians in America between January 19 and February 15, 2023.

Results: There were 1,944 responses from approximately 8,500 members (22% response rate).

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Purpose: To explore the practices, experiences, and needs of young mothers with a history of maltreatment who are introducing their children to complementary foods.

Design And Methods: In-depth interviews (n = 9) were conducted with young mothers (19-23 yrs) who had childhood histories of abuse and neglect (maltreatment). Interviews were transcribed verbatim and analyzed using a five-step thematic analysis approach.

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The 2013-2016 Ebola Virus Disease (EVD) epidemic in West Africa was the deadliest in history, with over 28,000 cases. Numerous physical and mental health symptoms have been reported in EVD survivors, although there is limited prior research on how the health of survivors compares to the general population. We conducted a survey of EVD survivors in Kenema District, Sierra Leone and a population-based sample of community members who lived in EVD-affected areas but were not diagnosed with EVD, and compared resulting data about self-reported symptoms, duration, and severity between EVD survivors and community members through multivariate regression models.

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The term 'RNA-seq' refers to a collection of assays based on sequencing experiments that involve quantifying RNA species from bulk tissue, single cells or single nuclei. The kallisto, bustools and kb-python programs are free, open-source software tools for performing this analysis that together can produce gene expression quantification from raw sequencing reads. The quantifications can be individualized for multiple cells, multiple samples or both.

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Spatial homogeneous regions (SHRs) in tissues are domains that are homogeneous with respect to cell type composition. We present a method for identifying SHRs using spatial transcriptomics data, and demonstrate that it is efficient and effective at finding SHRs for a wide variety of tissue types. The method is implemented in a tool called concordex, which relies on analysis of k-nearest-neighbor (kNN) graphs.

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