Visual SLAM for Unmanned Aerial Vehicles: Localization and Perception.

Localization and perception play an important role as the basis of autonomous Unmanned Aerial Vehicle (UAV) applications, providing the internal state of movements and the external understanding of environments. Simultaneous Localization And Mapping (SLAM), one of the critical techniques for localization and perception, is facing technical upgrading, due to the development of embedded hardware, multi-sensor technology, and artificial intelligence. This survey aims at the development of visual SLAM and the basis of UAV applications.

Screening of highly discriminative microhaplotype markers for individual identification and mixture deconvolution in East Asian populations.

Microhaplotypes are forensic genetic markers that combine single nucleotide polymorphisms in close proximity to one another. Highly discriminative microhaplotype markers could be superior to short tandem repeats (STRs) in DNA mixture deconvolution investigations because they are not interfered by stutters. In this study, the effective number of alleles (A) and discrimination power values of microhaplotypes and STRs were compared.

Identification of cancer prognosis-associated functional modules using differential co-expression networks.

The rapid accumulation of cancer-related data owing to high-throughput technologies has provided unprecedented choices to understand the progression of cancer and discover functional networks in multiple cancers. Establishment of co-expression networks will help us to discover the systemic properties of carcinogenesis features and regulatory mechanisms of multiple cancers. Here, we proposed a computational workflow to identify differentially co-expressed gene modules across 8 cancer types by using combined gene differential expression analysis methods and a higher-order generalized singular value decomposition.