Pyrrosia bonii
is an important ornamental and medical fern from Polypodiaceae. Its complete chloroplast genome sequence was characterized through
de novo
assembly with Illumina sequencing data. The genome size is 158,174 bp, with large single copy (LSC, 82,479 bp) and small single copy (SSC, 21,723 bp) regions separated by a pair of inverted repeats (IR, 26,986 bp). A total of 132 genes were identified, including 88 protein coding genes, 35 tRNA genes, eight rRNA genes, and one pseudogene. Maximum-likelihood phylogenetic tree revealed that
P. bonii
was most closely related to
Lepisorus clathratus
. The study will greatly facilitate the chloroplast phylogenomics of Polypodiaceae.
We reported the complete chloroplast genome of Pyrrosia calvata, a traditional Chinese medicinal fern only restricted to Guangxi, China. Its genome is 158,201 bp in length with 41.59% GC content and includes two inverted repeats (IRs) of 26,983 bp separated by LSC and SSC of 82,517 bp and 21,718 bp, respectively. A total of 131 genes are predicted, including 88 protein-coding genes, 34 tRNA genes, eight rRNA genes, and one pseudogene. ML tree indicates that P. calvata is sister to Lepisorus clathratu. This study provides a new perspective to explore the phylogenetic relationship of Pyrrosia.
China Robot Competition, which integrates the theory and practice of multi-disciplinary intelligent robot system, is one of the most influential robot competitions in China. In this paper, we apply RRT * and APF to the Middle Size Simulation League of soccer on ROS and propose an attack strategy based on extremum. Our experiments showed that the implementation of RRT* and APF optimizes the multiple iterations existing in original obstacle avoidance algorithm and greatly improves the performance of robots when there are fewer obstacles and the maximum speed of obstacle avoidance is limited. Besides, our attack strategy has proved effective on boosting the chances of goal and helped the Central South University to win the championship of China Robot Competition Middle Size Simulation League in 2021.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.