Non-Rigid Registration via Global to Local Transformation

Non-rigid point set and image registration are key problems in plenty of computer vision and pattern recognition tasks. Typically, the non-rigid registration can be formulated as an optimization problem. However, registration accuracy is limited by local optimum. To solve this problem, we propose a method with global to local transformation for non-rigid point sets registration and it also can be used to infrared (IR) and visible (VIS) image registration. Firstly, an objective function based on Gaussian fields is designed to make a problem of non-rigid registration transform into an optimization problem. A global transformation model, which can describe the regular pattern of non-linear deformation between point sets, is then proposed to achieve coarse registration in global scale. Finally, with the results of coarse registration as initial value, a local transformation model is employed to implement fine registration by using local feature. Meanwhile, the optimal global and local transformation models estimated from edge points of IR and VIS image pairs are used to achieve non-rigid image registration. The qualitative and quantitative comparisons demonstrate that the proposed method has good performance under various types of distortions. Moreover, our method can also produce accurate results of IR and VIS image registration

COVID-19 vaccination in people living with HIV and AIDS (PLWHA) in China: A cross-sectional study

COVID-19 appears to put people living with HIV and AIDS (PLWHA) at a higher risk of catastrophic consequences and mortality. However, investigations on the hesitancy and vaccination behavior of PLWHA in China were lacking compared to the general population. From January 2022 to March 2022, we conducted a multi-center cross-sectional survey of PLWHA in China. Logistic regression models were used to examine factors associated to vaccine hesitancy and COVID-19 vaccine uptake. Among 1424 participants, 108 participants (7.6%) were hesitant to be vaccinated while 1258 (88.3%) had already received at least one dose of the COVID-19 vaccine. Higher COVID-19 vaccine hesitancy was associated with older age, a lower academic level, chronic disease, lower CD4+ T cell counts, severe anxiety and despair, and high perception of illness. Lower education level, lower CD4+ T cell counts, and significant anxiety and depression were all associated with a lower vaccination rate. When compared to vaccinated participants, those who were not hesitant but nevertheless unvaccinated had a higher presence of chronic disease and lower CD4+ T cell count. Tailored interventions (e.g. targeted education programs) based on these linked characteristics were required to alleviate concerns for PLWHA in promoting COVID-19 vaccination rates, particularly for PLWHA with lower education levels, lower CD4+ T cell counts, and severe anxiety and depression

The Brassica oleracea genome reveals the asymmetrical evolution of polyploid genomes

Polyploidization has provided much genetic variation for plant adaptive evolution, but the mechanisms by which the molecular evolution of polyploid genomes establishes genetic architecture underlying species differentiation are unclear. Brassica is an ideal model to increase knowledge of polyploid evolution. Here we describe a draft genome sequence of Brassica oleracea, comparing it with that of its sister species B. rapa to reveal numerous chromosome rearrangements and asymmetrical gene loss in duplicated genomic blocks, asymmetrical amplification of transposable elements, differential gene co-retention for specific pathways and variation in gene expression, including alternative splicing, among a large number of paralogous and orthologous genes. Genes related to the production of anticancer phytochemicals and morphological variations illustrate consequences of genome duplication and gene divergence, imparting biochemical and morphological variation to B. oleracea. This study provides insights into Brassica genome evolution and will underpin research into the many important crops in this genus.Peer reviewed: YesNRC publication: Ye

The Brassica oleracea genome reveals the asymmetrical evolution of polyploid genomes

Polyploidization has provided much genetic variation for plant adaptive evolution, but the mechanisms by which the molecular evolution of polyploid genomes establishes genetic architecture underlying species differentiation are unclear. Brassica is an ideal model to increase knowledge of polyploid evolution. Here we describe a draft genome sequence of Brassica oleracea, comparing it with that of its sister species B. rapa to reveal numerous chromosome rearrangements and asymmetrical gene loss in duplicated genomic blocks, asymmetrical amplification of transposable elements, differential gene co-retention for specific pathways and variation in gene expression, including alternative splicing, among a large number of paralogous and orthologous genes. Genes related to the production of anticancer phytochemicals and morphological variations illustrate consequences of genome duplication and gene divergence, imparting biochemical and morphological variation to B. oleracea. This study provides insights into Brassica genome evolution and will underpin research into the many important crops in this genus

The genome of the mesopolyploid crop species Brassica rapa

We report the annotation and analysis of the draft genome sequence of Brassica rapa accession Chiifu-401-42, a Chinese cabbage. We modeled 41,174 protein coding genes in the B. rapa genome, which has undergone genome triplication. We used Arabidopsis thaliana as an outgroup for investigating the consequences of genome triplication, such as structural and functional evolution. The extent of gene loss (fractionation) among triplicated genome segments varies, with one of the three copies consistently retaining a disproportionately large fraction of the genes expected to have been present in its ancestor. Variation in the number of members of gene families present in the genome may contribute to the remarkable morphological plasticity of Brassica species. The B. rapa genome sequence provides an important resource for studying the evolution of polyploid genomes and underpins the genetic improvement of Brassica oil and vegetable crops