Developing high-precision models of the nuclear force and propagating the associated uncertainties in quantum many-body calculations of nuclei and nuclear matter remain key challenges for ab initio nuclear theory. In this Letter, we demonstrate that generative machine learning models can construct novel instances of the nucleon-nucleon interaction when trained on existing potentials from the literature. In particular, we train the generative model on nucleon-nucleon potentials derived at second and third order in chiral effective field theory and at three different choices of the resolution scale.
View Article and Find Full Text PDFPharmacogenomics is central to precision medicine, informing medication safety and efficacy. Pharmacogenomic diplotyping of complex genes requires full-length DNA sequences and detection of structural rearrangements. We introduce StarPhase, a tool that leverages PacBio HiFi sequence data to diplotype 21 CPIC Level A pharmacogenes and provides detailed haplotypes and supporting visualizations for , , and .
View Article and Find Full Text PDFBackground: Many nursing curricula lack human-centered design (HCD) learning opportunities, and minimal evidence exists about HCD educational outcomes.
Purpose: The study explored the effects of HCD experiential learning activities on graduate nursing students.
Methods: The quasi-experimental mixed-method design employed an explanatory approach.
There are contradicting perspectives regarding autistics' ability to be creative. Some researchers cite autistics' underlying social communication and interaction differences, fixated interests, and inflexible patterns as fundamentally inhibiting creativity. However, many autistics refute this mindset and produce creative works as painters, sculptors, photographers, and graphic artists.
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