It is a challenge for the particle swarm optimization algorithm to effectively control population diversity and select and design efficient learning models.To aid in this process, in this paper, we propose multiple learning strategies and a modified dynamic multiswarm particle swarm optimization with a master slave structure (MLDMS-PSO).First, a dy
Abstract Background Pieces of evidence strongly indicate that providing high-quality family planning services is accompanied by an increase in contraceptive uptake and a decrease in contraception discontinuation.Contraceptive, especially Implanon discontinuation is a global issue that could be linked to a summary outcome indicator of poor family pl
Background: Returning results to research participants is increasingly recognized as an ethical mandate, yet little is known about best practices to optimally communicate urgent or emergent results.Methods: We describe the development of and experience with a process to return results to participants in the Project Baseline Health Splints Study (PB
We consider a challenging learning scenario where neither pretext training nor auxiliary data are available except for small training samples.We call this a transfer-free scenario where we cannot access any transferable knowledge or data.Our proposal for resolving this issue is to learn a pair-wise transformation function (e.g., spatial or appearan