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Multi-Level Evolution regarding Robotic Style.
ed, the 21-31 micron slab was the most repeatable. Conclusions In normal eyes, en face CC OCTA images generated using the Max projection and a 10μm thick slab offset of 21 microns below the instrument-generated RPE band yielded the most repeatable CCFD%. These findings have implications for the design of standardized processing algorithms for quantitative CC assessment.Purpose To determine the effects on childhood myopia of parental myopia, parental education, children's outdoor time and children's near wok. Design Population-based cross-sectional study METHODS A total of 6,155 subjects in 2,055 family trios. Cycloplegic auto-refraction was measured for children and non-cycloplegic auto-refraction for parents. Parental education, children's outdoor time and near work were collected by questionnaires. Children were categorized into ten groups based on parental myopia levels. Associations of the above factors with myopia were evaluated by regression analyses. The areas under the receiver operating characteristic curve (AUROC) for myopia were evaluated. Results Mild parental myopia did not increase childhood myopia's risk, but the risk was 11.22-folds when both parents were highly myopic. Higher parental education (Father OR=1.08, P=0.046; Mother OR=1.11, P=0.001) and more reading time of children were risk factors (OR=1.21, P=0.044). Reduced odds of myopia were associated with more time spent on outdoor activities (OR=0.78, P=0.017) and on electronic devices (OR=0.80, P=0.005). Notably, all these factors became insignificant after adjustment, except for parental myopia. Children with more severe parental myopia spent more time on reading, but less on electronic devices. Parental myopic status alone accounted for 11.82% of myopia variation in children. With age and parental myopia, the AUROC for myopia was 0.731. Conclusions Among parental and environmental factors, parental myopia confers, in a dose-related manner, the strongest independent effect on childhood myopia. Therefore children with high risk of myopia can be identified for early prevention, based on parental myopia data.Plasmodium vivax remains an important cause of malaria in South America and Asia, and analyses of the antibody immune response are being used to identify biomarker of parasite exposure. The IgG antibody naturally acquired predominantly occurs against targets on blood-stage parasites, including C-terminal of the merozoite surface protein 1 (MSP1-19). Epidemiological and immunological evidence has been showed that antibodies to malaria parasite antigens are lost in the absence of ongoing exposure. We describe the IgG antibody response in individuals living in an unstable malaria transmission area in Pará state, Amazon region, Brazil, where an epidemic of P. vivax malaria was recorded and monitored over time. As indicated by epidemiological data, the number of P. vivax-caused malaria cases decreased by approximately 90% after three years and the prevalence of IgG positive to PvMSP1-19 decreased significantly over time, in 2010 (93.4%), 2012 (78.3%), and 2013 (85.1%). Acquisition and decay of the IgG antibody against P. vivax MSP1-19 showed variability among individuals living in areas with recent circulating parasites, where the malaria epidemic was being monitored until transmission had been completely controlled. https://www.selleckchem.com/products/medica16.html We also found that previous malaria episodes were associated with an increased in the IgG positivity . Our results showed epidemiological, spatial, temporal and individual variability. The understanding on dynamics of antibodies may have implications for the design of serosurveillance tools for monitoring parasite circulation, especially in a context with spatial and temporal changes in P. vivax malaria transmission.The Dengue, Zika and Chikungunya viruses have been spreading in tropical regions, causing epidemics with high morbidity rates and fatal cases. The aim of this study was to assess the diversity and abundance of culicid species and the presence of arboviruses in mosquitoes, at the epicenter of an epidemic outbreak that occurred in people living near an urban Atlantic Forest park. Mosquitoes were captured with a Shannon trap between 2 and 6 pm in seven months of 2019. The Chikungunya virus was investigated according to the protocol described by Lanciotti (2007). The most abundant species were Wyeomyia bourrouli (66.9%) and Aedes albopictus (23.9%). Also captured were Aedes fluviatilis (3.2%); Haemagogus leucocelaenus (2.2%); Aedes scapularis (2.2%); Aedes aegypti (1.6%); Aedes serratus and (0.3%) and Aedes taeniorhynchus (0.3%). The Chikungunya virus was identified in A. aegypti females; A. albopictus females and males; Aedes fluviatilis and Wy.bourrouli. The presence of the Chikungunya virus in the afore mentioned mosquitoes reinforces the hypothesis that arbovirus expansion is associated with the participation of other mosquito species in the transmission areas, primarily the Chikungunya virus in the study area. The data also demonstrate the need for permanent entomological surveillance and measures to preserve the area, in order to hinder its degradation, the adaptation of culicid species to new habitats and the formation of enzootic cycles of these viruses in the forest.Long noncoding RNAs (lncRNAs) play critical roles in many pathological and biological processes, such as post-transcription, cell differentiation and gene regulation. Increasingly more studies have shown that lncRNAs function through mainly interactions with specific RNA binding proteins (RBPs). However, experimental identification of potential lncRNA-protein interactions is costly and time-consuming. In this work, we propose a novel convolutional neural network-based method with the copy-padding trick (named LPI-CNNCP) to predict lncRNA-protein interactions. The copy-padding trick of the LPI-CNNCP convert the protein/RNA sequences with variable-length into the fixed-length sequences, thus enabling the construction of the CNN model. A high-order one-hot encoding is also applied to transform the protein/RNA sequences into image-like inputs for capturing the dependencies among amino acids (or nucleotides). In the end, these encoded protein/RNA sequences are feed into a CNN to predict the lncRNA-protein interactions.
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