G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification

Pathological glomerulus classification plays a key role in the diagnosis of nephropathy. As the difference between different subcategories is subtle, doctors often refer to slides from different staining methods to make decisions. However, creating correspondence across various stains is labor-intensive, bringing major difficulties in collecting data and training a vision-based algorithm to assist nephropathy diagnosis. This paper provides an alternative solution for integrating multi-stained visual cues for glomerulus classification. Our approach, named generator-to-classifier (G2C), is a two-stage framework. Given an input image from a specified stain, several generators are first applied to estimate its appearances in other staining methods, and a classifier follows to combine visual cues from different stains for prediction (whether it is pathological, or which type of pathology it has). We optimize these two stages in a joint manner. To provide a reasonable initialization, we pre-train the generators in an unlabeled reference set under an unpaired image-to-image translation task, and then fine-tune them together with the classifier. We conduct experiments on a glomerulus type classification dataset collected by ourselves (there are no publicly available datasets for this purpose). Although joint optimization slightly harms the authenticity of the generated patches, it boosts classification performance, suggesting more effective visual cues are extracted in an automatic way. We also transfer our model to a public dataset for breast cancer classification, and outperform the state-of-the-arts significantly.Comment: Accepted by AAAI 201

Phylogeny Analysis from Gene-Order Data with Massive Duplications

Background: Gene order changes, under rearrangements, insertions, deletions and duplications, have been used as a new type of data source for phylogenetic reconstruction. Because these changes are rare compared to sequence mutations, they allow the inference of phylogeny further back in evolutionary time. There exist many computational methods for the reconstruction of gene-order phylogenies, including widely used maximum parsimonious methods and maximum likelihood methods. However, both methods face challenges in handling large genomes with many duplicated genes, especially in the presence of whole genome duplication. Methods: In this paper, we present three simple yet powerful methods based on maximum-likelihood (ML) approaches that encode multiplicities of both gene adjacency and gene content information for phylogenetic reconstruction. Results: Extensive experiments on simulated data sets show that our new method achieves the most accurate phylogenies compared to existing approaches. We also evaluate our method on real whole-genome data from eleven mammals. The package is publicly accessible at http://www.geneorder.org. Conclusions: Our new encoding schemes successfully incorporate the multiplicity information of gene adjacencies and gene content into an ML framework, and show promising results in reconstruct phylogenies for whole-genome data in the presence of massive duplications

Analysis of the behavior and influencing factors of pickled and smoked products consumption in residents in Southwest China

ObjectiveTo investigate the current situation and risk factors of high-frequency consumption of pickled and smoked products in Southwest China and put forward corresponding countermeasures and suggestions.MethodsA questionnaire survey was conducted from February to May in 2021 in Southwest China （Yunnan， Guizhou， Sichuan and Chongqing） by convenient sampling to obtain data. The geographical， demographic and sociological factors， health knowledge and behavior factors were collected. The risk factors of high-frequency pickled and smoked products consumption were analyzed by disordered multi classification logistic regression.ResultsGeographical factor analysis showed that the risk of high-frequency consumption of pickled and smoked products in Yunnan， Guizhou and rural areas was high. The risk of high-frequency consumption of pickled and smoked products in Yunnan province were 2.764 times and 2.126 times higher than that in Chongqing respectively. Among the demographic sociological factors， high-frequency consumption of pickled and smoked products was positively correlated with age and education to a certain extent， and intellectual labor was a protective factor. The most noteworthy factor was the age： the risk of the elderly over 60 years old was the highest， and only 46.70% of the youth aged from 18 had the behavior. In terms of health knowledge and behavior， there was a statistical difference between the knowledge of salt and the consumption of smoked products. The risk of the group with zero correct rate was 1.372 times higher than that of the group with all correct answers. The frequency of drinking alcohol and the risk of pickled and smoked products were basically positively correlated. In the two groups of dependent variables， people who drunk more than three times a week had the highest risk， and the risk of those who never drunk was only 32.10% compared to the drinkers.ConclusionPickled and smoked products are the characteristic food in Southwest China. Geographical factors， demographic and sociological factors， health knowledge and behavior factors are related to high-frequency consumption of pickled and smoked products. It is necessary to control the health risks brought by high-frequency eating behaviors， promote targeted health education in Yunnan， Guizhou and rural areas， and elderly and less educated groups， encourage healthy eating behaviors， and promote the “Healthy Southwest Action” of “Healthy China”

Association between modes of delivery and postpartum dietary patterns: A cross-sectional study in Northwest China

Objective: Puerperae’ dietary patterns (DPs) during the puerperium may be influenced by the mode of delivery, but population studies on this topic are scarce. This study aims to explore the relationship between DPs and different modes of delivery among puerperae. Methods: A cross-sectional study was conducted on 3,345 parturients in Lanzhou, China. The postpartum food intake was measured by a food frequency questionnaire (FFQ). Factor analysis was used to determine the DPs. Multiple linear regression was employed to examine the association between the mode of delivery and DP. Results: In this study, two DPs, i.e., traditional and modern DPs, were identified. Traditional DP was characterized by high energy-adjusted intake of tubers, coarse cereals, rice, whole grains, fishery products, and eggs. Modern DP included a high intake of coffee, non-sugary drinks, wine, tea, and fishery products. Compared with participants with vaginal delivery (reference category), cesarean section had an inverse association with modern DP (β: −0.11, 95% CI: −0.36, −0.09). A significant interaction was found between education level, monthly household income, alcohol drinking, and modes of delivery. The inverse association between cesarean section and modern DP or the intake of coffee was significant among puerperae with higher or lower monthly household income. However, the inverse association between cesarean section and traditional DP was only found among puerperae with higher monthly household income. Moreover, among the participants with high education, cesarean section was positively associated with intake of vegetables. Conclusion: Cesarean puerperae with higher levels of education and those with lower and higher monthly household income had less unhealthy foods intake than those who had vaginal delivery. They need to be accounted for in educational programs and interventions focused on healthy diet recommendations in puerperium.This project was funded by the Chongqing Social Science Planning Project (2017YBSH057) and joint project of the Ministry of Technology and Ministry of Health (2021MSXM215) and Discipline Cultivation Fund of the First Affiliated Hospital of Chongqing Medical University. The funders had no role in the design, analysis, data interpretation and publication of findings

Desarrollo de un Software para la Calibración de un Sistema Trinocular de Cámaras

Zhao, L. (2012). Desarrollo de un Software para la Calibración de un Sistema Trinocular de Cámaras. http://hdl.handle.net/10251/27358.Archivo delegad