Publications by authors named "A J Bishop"

Purpose: Few studies have examined disparities in-and social determinants of-contraception use among rural adolescents despite evidence of higher teen birth rates and greater STI risk in rural communities. Guided by a social determinants of health (SDoH) framework, this cross-sectional study aimed to address these gaps.

Methods: Data come from the 2018 Healthy Youth Survey, including N = 3757 sexually active, rural-based adolescents.

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DNA breathing dynamics-transient base-pair opening and closing due to thermal fluctuations-are vital for processes like transcription, replication, and repair. Traditional models, such as the Extended Peyrard-Bishop-Dauxois (EPBD), provide insights into these dynamics but are computationally limited for long sequences. We present , a high-throughput Langevin molecular dynamics framework leveraging JAX for GPU-accelerated simulations, achieving up to 30x speedup and superior scalability compared to the original C-based EPBD implementation.

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Landscape genomic approaches for detecting genotype-environment associations (GEA), isolation by distance (IBD) and isolation by environment (IBE) have seen a dramatic increase in use, but there have been few thorough analyses of the influence of sampling strategy on their performance under realistic genomic and environmental conditions. We simulated 24,000 datasets across a range of scenarios with complex population dynamics and realistic landscape structure to evaluate the effects of the spatial distribution and number of samples on common landscape genomics methods. Our results show that common analyses are relatively robust to sampling scheme as long as sampling covers enough environmental and geographic space.

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this study aims to evaluate the survival outcomes of patients suffering from head and neck synovial sarcoma (HNSS), especially in relation to patients with a localized disease at diagnosis. this retrospective chart review includes 57 patients diagnosed with primary HNSS between 1981 and 2020 who presented with a localized disease at diagnosis. Overall survival (OS) from diagnosis, local recurrence-free survival (LRFS), and metastasis-free survival (MFS) from the end of the primary tumor treatment are estimated.

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