Publications by authors named "D Hutson"

Background: Social media negatively affects body image, but few have investigated its impact on pregnancy-related body image. Pregnancy represents a vulnerable period for body image, and poor body image has negative implications for health.

Objectives: We aimed to (1) understand relations of social media and pregnancy-related body image variables, (2) examine differences in social media use and body image based on demographic characteristics, and (3) evaluate whether type of social media use (i.

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The increasing use of automation in cellular assays and cell culture presents significant opportunities to enhance the scale and throughput of imaging assays, but to do so, reliable data quality and consistency are critical. Realizing the full potential of automation will thus require the design of robust analysis pipelines that span the entire workflow in question. Here we present FocA, a deep learning tool that, in near real-time, identifies in-focus and out-of-focus images generated on a fully automated cell biology research platform, the NYSCF Global Stem Cell Array®.

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Based on pulsed DC sputter deposition of hydrogenated carbon, an absorber optical coating with maximized broadband infrared absorptance is reported. Enhanced broadband (2.5-20 µm) infrared absorptance (>90) with reduced infrared reflection is achieved by combining a low-absorptance antireflective (hydrogenated carbon) overcoat with a broadband-absorptance carbon underlayer (nonhydrogenated).

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Estrogen exerts protective effects on the cardiovascular system via three known estrogen receptors: alpha (ERα), beta (ERß), and the G protein-coupled estrogen receptor (GPER). Our laboratory has previously showed the importance of GPER in the beneficial cardiovascular effects of estrogen. Since clinical studies indicate that the protective effects of exogenous estrogen on cardiovascular function are attenuated or reversed 10 years post-menopause, the hypothesis was that GPER expression may be reduced during aging.

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Background: In this work we describe a breath emulator system, used to simulate temporal characteristics of exhaled carbon dioxide (CO) concentration waveform versus time simulating how much CO2 is present at each phase of the human lung respiratory process. The system provides a method for testing capnometers incorporating fast response non-dispersive infrared (NDIR) CO gas sensing devices - in a clinical setting, capnography devices assess ventilation which is the CO movement in and out of the lungs. A mathematical model describing the waveform of the expired CO characteristic and influence of CO gas sensor noise factors and speed of response is presented and compared with measured and emulated data.

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