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Impact of Image Content on Medical Crowdfunding Success: A Machine Learning Approach.
J Med Internet Res
November 2024
School of Economics and Management, East China Normal University, Shanghai, China.
Background: As crowdfunding sites proliferate, visual content often serves as the initial bridge connecting a project to its potential backers, underscoring the importance of image selection in effectively engaging an audience.
Objective: This paper aims to explore the relationship between images and crowdfunding success in cancer-related crowdfunding projects.
Methods: We used the Alibaba Cloud platform to detect individual features in images.
Making sense of the economics of abortion in the United States.
Perspect Sex Reprod Health
September 2024
Department of Sociology and the Center on Health, Risk, and Society, American University, Washington DC, USA.
In 2023 the editors of Perspectives on Sexual and Reproductive Health issued a special call for papers related to the economics of abortion. Ten of those submissions are included in this volume and address critical issues including: (1) the role Medicaid continues to play in abortion access and how changes in state Medicaid coverage of abortion have expanded and restricted abortion care use; (2) how low-income individuals without insurance coverage for abortion utilize resources from abortion funds and through crowdsourcing platforms; (3) how the price of medication abortion has decreased with the availability of telemedicine medication abortion and how providers of that service are making efforts to reduce those prices even further; and (4) how legally restricting abortion access has significant economic implications for state economies and the US society as a whole. In this introduction, I review the general scope of prior research on the economics of abortion in the US as it relates to stigma-induced silences, abortion seekers, abortion providers, and abortion assistance organizations.
View Article and Find Full Text PDFCatching invasives with curiosity: the importance of passive biosecurity surveillance systems for invasive forest pest detection.
Environ Entomol
December 2024
Department of Forestry and Environmental Conservation, Clemson University, Clemson, SC, USA.
First detections of nonnative insect species are often made by curious members of the public rather than by specialists or trained professionals. Passive surveillance is a crucial component of national biosecurity surveillance, highlighted by early detection case studies of several prominent nonnative arthropod pests (e.g.
View Article and Find Full Text PDFProgress Toward Estimating the Minimal Clinically Important Difference of Intelligibility: A Crowdsourced Perceptual Experiment.
J Speech Lang Hear Res
October 2024
Department of Communicative Disorders and Sciences, University at Buffalo, New York.
Article Synopsis
- The study aimed to determine the minimal clinically important difference (MCID) in sentence intelligibility for both control speakers and those with dysarthria due to multiple sclerosis (MS) and Parkinson's disease (PD).
- Sixteen speakers from each group were recorded in various speaking conditions, while 240 nonexpert listeners rated their understandability, comparing paired sentences.
- Despite invalid MCID results from ROC curves, the data revealed a 7% difference for small changes and 15% for larger changes, indicating that intelligibility can be categorized into three levels of difference based on listener perception.
Understanding the challenges of robotic-assisted surgery adoption: Perspectives from stakeholders and the general population on human-interaction, built environment, and training.
Appl Ergon
January 2025
Department of Industrial Engineering, Clemson University, Clemson, SC, USA. Electronic address:
This study aims to explore adoption barriers from three aspects critical to facilitating robotic-assisted-surgery (RAS) adoption: the human-robot-interaction, built-environment, and training. Guidelines for research and design are identified from these perspectives. This study consisted of three phases: 1) surveys to RAS stakeholders and a crowd-sourcing survey; 2) stakeholder focus groups; and 3) a workshop with subject-matter experts to prioritize future research for RAS.
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