Publications by authors named "L Fulton"
Article Synopsis
- Breast cancer (BC) has distinct molecular subtypes influenced by different cell origins, yet the transcriptional networks for these subtypes are not well understood.
- This study utilized advanced techniques on 61 samples from 37 BC patients to reveal how gene expression and chromatin accessibility connect BC subtypes to their likely cells of origin.
- Key transcription factors BHLHE40 and KLF5 were found to play crucial roles in luminal and basal-like tumors, respectively, and exhausted CD8 T cells were linked to immune dysfunction in basal-like BC, showcasing the potential of single-cell level analysis in understanding cancer lineages.
Objectives: We report the effect of quality of therapy delivery on outcomes in a randomized, controlled trial of behavioural activation (BA) and guided self-help (GSH) for depression in adults with intellectual disabilities.
Methods: A study specific measure of quality was used in a linear mixed effect model to determine the effects therapy and therapy quality on therapy outcome.
Results: There was a significant interaction between quality and treatment type, with lower quality therapy associated with better outcome for GSH but poorer outcome for BA, with little difference in outcomes at higher levels of therapy quality.
To predict the market dynamics of various zero-emission vehicle (ZEV) technologies, this study introduces a dynamic discrete vehicle choice model (VCM) that investigates the probabilities associated with 14 decision factors, applying these to the purchase of ZEVs from 2020 to 2040. Market share and penetration results are presented under eight scenarios, that vary by vehicle costs infrastructure development and incentive strategies. The findings suggest that in the early years, incentives alone may not generate significant market penetration of ZEVs before the infrastructure meets the basic convenience for daily use, especially for fuel cell vehicles (FCVs).
View Article and Find Full Text PDFFundamental data analysis assists in the evaluation of critical questions to discern essential facts and elicit formerly invisible evidence. In this article, we provide clarity into a subtle phenomenon observed in cancer incidences throughout the time of the COVID-19 pandemic. We analyzed the cancer incidence data from the American Cancer Society [1].
View Article and Find Full Text PDFBackground: Health care data breaches are the most rapidly increasing type of cybercrime; however, the predictors of health care data breaches are uncertain.
Objective: This quantitative study aims to develop a predictive model to explain the number of hospital data breaches at the county level.
Methods: This study evaluated data consolidated at the county level from 1032 short-term acute care hospitals.