Results 161 to 170 of about 56,385 (212)
Incorporating environmental DNA metabarcoding for improved benthic biodiversity and habitat mapping
Seafloor imagery is commonly used to collect information about the distribution of benthic organisms in order to generate habitat and biodiversity maps. Recent advances in genomics (e.g., environmental DNA; eDNA) show potential to complement video surveys for habitat mapping, but there have been few examples testing this.
Rylan J. Command +8 more
wiley +1 more source
No evidence for decision fatigue using large-scale field data from healthcare. [PDF]
Andersson D +3 more
europepmc +1 more source
This study investigates the integration of synthetic imagery, created with diffusion‐based models, to supplement limited training data and improve muskox (Ovibos moschatus) detection in zero‐shot (ZS) and few‐shot (FS) settings. ZS models detected more than 80% of muskoxen in real images, confirming the potential of synthetic data as a substitute for ...
Simon Durand +4 more
wiley +1 more source
Age-specific prevalence and predictors of lifetime suicide attempts using machine learning in Chinese adults: a nationwide multi-centre survey. [PDF]
Wu Y +5 more
europepmc +1 more source
ABSTRACT This study investigates stakeholder perspectives on mobilising private‐sector finance for climate adaptation in Southeast Asia, emphasising Hong Kong's role as a financial intermediary. Through semi‐structured interviews with diverse stakeholders, including practitioners, policymakers, insurers, and project developers, we employed a grounded ...
Laurence L. Delina +4 more
wiley +1 more source
Variational Deep Alliance: A Generative Auto-Encoding Approach to Longitudinal Data Analysis. [PDF]
Feng S, Xie W, Nie Y.
europepmc +1 more source
Abstract Research Summary Access to markets is critical for entrepreneurial success, yet many face significant barriers. This study argues that digital platforms functioning as peer‐to‐peer marketplaces can facilitate entrepreneurial activity by improving market access for new ventures.
Daehyun Kim, Yongwook Paik, Namil Kim
wiley +1 more source
A comprehensive evaluation of oversampling techniques for enhancing text classification performance. [PDF]
Taskiran SF +3 more
europepmc +1 more source
Integrating multimodal data and machine learning for entrepreneurship research
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley +1 more source

