Introduction Self-sampling for cervical cancer screening is a promising strategy to improve coverage and reduce strain on ...

This project provides a complete pipeline for latent diffusion models, covering image dataset encoding into latents, training three different models with two distinct noise schedules, and sampling ...

ABSTRACT: This qualitative research investigates the primary barriers to implementing Industry 4.0 technologies in the solid waste management system of the City of Cape Town Metropolitan Municipality, ...

Agricultural soil testing is critical to determining soil’s nutrient concentration and variability across your fields. It is ideal to test your fields’ soil at least every two to three years to inform ...

Intrinsically Disordered Proteins (IDPs) challenge traditional structure-function paradigms by existing as dynamic ensembles rather than stable tertiary structures. Capturing these ensembles is ...

ABSTRACT: The emergence of a heavy workload has disrupted the vital relationship that people have established between work and family and set the stage for the occurrence of work-family conflict.

Personalized text-to-image generation aims to create images tailored to user-defined concepts and textual descriptions. Balancing the fidelity of the learned concept with its ability for generation in ...

Applied Ocean Sciences is creating a sensor that is faster, more efficient, and less expensive than current sampling methods and will be the first sensor to allow near real-time abundance measurements ...

Anthropic environment; aquatic environments; cost-effectiveness; freshwater biodiversity; sex ratio; turtle trapping method comparison Mainly in developing countries, such as Brazil, the risk of theft ...

Abstract: In recent years, physics-informed neural networks (PINNs) have developed significantly as a deep learning technology. In analogy to the selection of grid cells in traditional numerical ...