Publications by authors named "G M Feldman"
Purpose: Increasing demand for genomic testing coupled with genetics workforce shortages has placed unsustainable pressure on standard models of care. Digital tools can offer improved access, efficiency, and cost savings. We created a patient-facing digital health application to support genomic testing.
View Article and Find Full Text PDFHere we describe the data obtained by a successful proof-of-concept initiative to launch the first ocean color imager on board a CubeSat satellite and collect research-grade imagery at severalfold higher spatial resolution than any other ocean color satellite mission. The 3U CubeSat, named SeaHawk, flew at a nominal altitude of 585 km. Its ocean color sensor, HawkEye, collected 7,471 research-grade push-broom images of 230 × 780 km at best-in-class 130 × 130 m per pixel.
View Article and Find Full Text PDFArticle Synopsis
- Ideal partner preferences shape key insights in human mating research, but recent studies face issues such as inconsistent analysis methods and varying findings across different populations.
- A large-scale study involving 10,358 participants from 43 countries revealed significant effects of preference matching, particularly when analyzing traits collectively, with some traits showing minimal impact on partner evaluations.
- The research also highlighted gender differences, where both men and women misjudged the importance of traits like attractiveness and earning potential in their stated preferences compared to actual revealed preferences.
Background: Despite the growing availability of smoking cessation apps, low engagement and cessation rates have remained a significant challenge. To address this issue, we used a user-centered design to iteratively develop a mobile app (MO) to provide comprehensive, tailored, and evidence-based content to support smokers in their quitting journey.
Objective: This study examined the acceptability, use, and preliminary efficacy of the MO app for smoking cessation.