Objective: Because of interference from dynamic objects, the traditional simultaneous localization and mapping (SLAM) framework execute poorly while operational in a dynamic environment.The Dynamic-SLAM model is introduced by considering the merits of deep learning in object discovery.At the semantic level, the dynamic objects in the new detection
Nutrient capture and sustainable yield maximized by a gear modification in artisanal fishing traps
Coral reef artisanal fisheries are an important source of nutrition and economic wellbeing for coastal communities, but their management is subject to conflicts and tradeoffs between short-term food security benefits and long-term ecological function.One potential tradeoff is between nutrient capture and fish yields, where targeting small, nutrient
CACTUS: integrating clonal architecture with genomic clustering and transcriptome profiling of single tumor cells
Abstract Background Drawing genotype-to-phenotype maps in tumors is of paramount importance for understanding tumor heterogeneity.Assignment of single cells to their tumor clones of origin can be approached by matching the genotypes of the clones to the mutations found in RNA sequencing of the cells.The confidence of the cell-to-clone mapping can b