91 research outputs found

    Emotion Analysis of Ideological and Political Education Using a GRU Deep Neural Network

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    Theoretical research into the emotional attributes of ideological and political education can improve our ability to understand human emotion and solve socio-emotional problems. To that end, this study undertook an analysis of emotion in ideological and political education by integrating a gate recurrent unit (GRU) with an attention mechanism. Based on the good results achieved by BERT in the downstream network, we use the long focusing attention mechanism assisted by two-way GRU to extract relevant information and global information of ideological and political education and emotion analysis, respectively. The two kinds of information complement each other, and the accuracy of emotion information can be further improved by combining neural network model. Finally, the validity and domain adaptability of the model were verified using several publicly available, fine-grained emotion datasets

    Simvastatin Blocks Blood-Brain Barrier Disruptions Induced by Elevated Cholesterol Both In Vivo and In Vitro

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    Background. Hypercholesterolemia and disruptions of the blood brain barrier (BBB) have been implicated as underlying mechanisms in the pathogenesis of Alzheimer's disease (AD). Simvastatin therapy may be of benefit in treating AD; however, its mechanism has not been yet fully understood. Objective. To explore whether simvastatin could block disruption of BBB induced by cholesterol both in vivo and in vitro. Methods. New Zealand rabbits were fed cholesterol-enriched diet with or without simvastatin. Total cholesterol of serum and brain was measured. BBB dysfunction was evaluated. To further test the results in vivo, rat brain microvascular endothelial cells (RBMECs) were stimulated with cholesterol in the presence/absence of simvastatin in vitro. BBB disruption was evaluated. Results. Simvastatin blocked cholesterol-rich diet induced leakage of Evan's blue dye. Cholesterol content in the serum was affected by simvastatin, but not brain cholesterol. Simvastatin blocked high-cholesterol medium-induced decrease in TEER and increase in transendothelial FITC-labeled BSA Passage in RBMECs. Conclusions. The present study firstly shows that simvastatin improves disturbed BBB function both in vivo and in vitro. Our data provide that simvastatin may be useful for attenuating disturbed BBB mediated by hypercholesterolemia

    Release Characteristics, Mucus Permeability, and Cellular Uptake of Glabridin/Hydroxypropyl-β-Cyclodextrin Inclusion Complex

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    GLD/HP-β-CD inclusion complexes were prepared by encapsulating glabridin (GLD) with hydroxypropyl (HP) and β-cyclodextrin (β-CD) to improve the solubility of GLD in water. The morphology, the existing form of GLD, the interaction between GLD and HP-β-CD and the spatial conformation of the inclusion complexes were investigated by scanning electron microscopy (SEM), differential scanning calorimetry (DSC), Fourier transform infrared (FTIR) spectroscopy and molecular docking, respectively. Furthermore, the dissolution and release characteristics of GLD/HP-β-CD inclusion complexes were investigated in vitro in simulated gastric and intestinal fluids. The permeability of GLD/HP-β-CD through the mucus layer was studied using the Transwell method, and the spatial conformation and interaction of GLD and mucins were investigated by molecular docking. The small intestinal uptake of GLD in GLD/HP-β-CD inclusion complexes was studied using Caco-2 cells, and the effect of the vector HP-β-CD on GLD uptake and the possible underlying mechanism were investigated. The results showed that the encapsulation efficiency and drug loading of GLD in GLD/HP-β-CD were 90.03% and 14.51%, respectively, and HP-β-CD could significantly increase the saturation solubility of GLD in water to 109.36 mg/mL. SEM showed that the GLD/HP-β-CD solid inclusion complexes were irregularly flake-shaped. DSC showed that GLD in the GLD/HP-β-CD inclusion complexes was present in an amorphous non-crystalline form. FTIR and DSC fully demonstrated that HP-β-CD encapsulated GLD in the cavity to form an inclusion complex. Molecular docking showed that GLD molecules were able to completely enter the cavity of HP-β-CD, the optimal binding energy between GLD and HP-β-CD was −7.37 kcal/mol, and the interaction between molecules was mainly maintained by van der Waals force. Compared with free GLD, the cumulative dissolution rate of GLD/HP-β-CD at 1 h in simulated gastric and intestinal fluids was increased by 15.75 and 12.4 folds, respectively, and the total cumulative release rate at 24 h in simulated gastric and intestinal fluids was increased by 54 folds. The apparent permeability coefficient through the mucus layer was increased from 9.24 × 10-9 to 1.43 × 10-5 cm/s. Molecular docking showed a strong interaction between GLD and the mucin MUC2, and the uptake by Caco-2 cells was increased from 0.039 to 0.349 mg/g. The present study shows that GLD/HP-β-CD complexes can significantly increase the dissolution and release of GLD, and greatly improve the permeability of GLD through the mucus layer of the intestinal epithelial surface and the uptake of GLD by intestinal epithelial cells, thereby having the potential to enhance GLD absorption and improve the bioavailability of GLD

    Genome-wide selection footprints and deleterious variations in young Asian allotetraploid rapeseed

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    Brassica napus (AACC, 2n=38) is an important oilseed crop grown worldwide. However, little is known about the population evolution of this species, the genomic difference between its major genetic groups, such as European and Asian rapeseed, and the impacts of historical large-scale introgression events on this young tetraploid. In this study, we reported the de novo assembly of the genome sequences of an Asian rapeseed (B. napus), Ningyou 7 and its four progenitors and compared these genomes with other available genomic data from diverse European and Asian cultivars. Our results showed that Asian rapeseed originally derived from European rapeseed but subsequently significantly diverged, with rapid genome differentiation after hybridization and intensive local selective breeding. The first historical introgression of B. rapa dramatically broadened the allelic pool but decreased the deleterious variations of Asian rapeseed. The second historical introgression of the double-low traits of European rapeseed (canola) has reshaped Asian rapeseed into two groups (double-low and double-high), accompanied by an increase in genetic load in the double-low group. This study demonstrates distinctive genomic footprints and deleterious SNP (Single Nucleotide Polymorphism) variants for local adaptation by recent intra- and interspecies introgression events and provides novel insights for understanding the rapid genome evolution of a young allopolyploid cro

    Incorporating pleiotropic quantitative trait loci in dissection of complex traits: seed yield in rapeseed as an example

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    © The Author(s) 2017 This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/), which permits use, duplication, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.Most agronomic traits of interest for crop improvement (including seed yield) are highly complex quantitative traits controlled by numerous genetic loci, which brings challenges for comprehensively capturing associated markers/ genes. We propose that multiple trait interactions underlie complex traits such as seed yield, and that considering these component traits and their interactions can dissect individual quantitative trait loci (QTL) effects more effectively and improve yield predictions. Using a segregating rapeseed (Brassica napus) population, we analyzed a large set of trait data generated in 19 independent experiments to investigate correlations between seed yield and other complex traits, and further identified QTL in this population with a SNP-based genetic bin map. A total of 1904 consensus QTL accounting for 22 traits, including 80 QTL directly affecting seed yield, were anchored to the B. napus reference sequence. Through trait association analysis and QTL meta-analysis, we identified a total of 525 indivisible QTL that either directly or indirectly contributed to seed yield, of which 295 QTL were detected across multiple environments. A majority (81.5%) of the 525 QTL were pleiotropic. By considering associations between traits, we identified 25 yield-related QTL previously ignored due to contrasting genetic effects, as well as 31 QTL with minor complementary effects. Implementation of the 525 QTL in genomic prediction models improved seed yield prediction accuracy. Dissecting the genetic and phenotypic interrelationships underlying complex quantitative traits using this method will provide valuable insights for genomics-based crop improvement.Peer reviewedFinal Published versio

    An Efficiency Control Method Based on SFSM for Massive Crowd Rendering

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    For massive crowds, users often have the need for interactive roaming. A good roaming effect can make the user feel immersed in the crowd, and the scenes need to be populated with crowds of people that make the environment both alive and believable. This paper proposes a method of efficiency control for massive crowd rendering. First, we devise a state machine mechanism based on self-feedback, which can dynamically adjust the accuracy of crowd model rendering according to the relationship between the speed of the system rendering and the speed the users expect. Second, we propose a movement frequency update method to perform the frequency of motion update based on the distance between the individual and the viewpoint. In addition, we propose a variable precision point sampling drawing strategy to render the individual with different sampling precision. The state machine system in this paper effectively integrates two core technologies for dynamically controlling the accuracy of the model, ensuring visual efficiency, improving the rendering efficiency, and satisfying the fluency of users’ roaming interaction

    The relationship between phosphine, methane, and ozone over paddy field in Guangzhou, China

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    Greenhouse effect has been attracting more and more attention in the world. Carbon dioxide (CO2) and methane (CH4) are the most important greenhouse gases. Phosphine (PH3) may have a potential greenhouse effect because it can react with hydroxyl radicals (·OH) in competition with other reducing gases. The aim of this study is to discover the relationship among PH3, ozone (O3) and CH4 in paddy fields and estimate the potential greenhouse effect of PH3 by field experiment. The results reveal that there was a significant negative correlation between O3 and PH3 (r = −0.494, p = 0.001, n = 42) during the whole period of rice growth. Similarly, CH4 was also negatively correlated with PH3, but not significant (r = −0.283, p = 0.069, n = 42). However, it was found that PH3 and CH4 corresponded to the reciprocal model. These results show that there was a certain competition relationship between PH3 and CH4. It was widely speculated that PH3 and CH4 were similar in the photochemical elimination process. ·OH could react with PH3, resulting in PH bond break. Then PH3 was oxidized to phosphate and other oxidation substances. Through Pearson correlation analysis and multiple stepwise linear regression analysis, light intensity was the principal factor affecting PH3 levels over the paddy field. The regression equation was [PH3] = -0.0003*[L] +20.025 (R2 = 0.243; F = 5.177; P < 0.01). These discoveries in this study have great reference values for the future investigation of greenhouse effect. Keywords: Phosphine, Methane, Ozone, Greenhouse effect, Paddy fields, Meteorological facto

    Tai Ji on Cognitive Function Improvement in Parkinson's Disease: A Meta-Analysis

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    Background: Tai Ji (TJ) can improve cognitive function, which in turn brings life quality to Parkinson’s disease (PD) patients. Cognitive function is thus important for PD patients. Analyzing the cognitive function and obtaining precise TJ exercise prescriptions are effective in treating PD patients. Objectives: The purpose of this review was to discuss the current Randomized Controlled Trials (RCTs) of TJ and cognitive function improvement in PD. Materials and Methods: Databases, including PubMed, Web of Science, Scopus, Cochrane Library, EBSCOhost, Wan Fang, and CNKI, were searched. Cochrane systematic evaluation method was adopted wherein 6 RCTs met the final inclusion criteria. Results: Among the 6 included RCTs, 3 were of high quality, and the rest were of medium quality. Quantitative analysis exhibited that TJ intervention improved the cognitive function of PD patients. TJ promoted the global cognitive function (p < 0.05) and the executive function (p = 0.09) compared with the control. However there was no significant improvement in cognitive motor. TJ training intervention doses of two times a week with 45–60 min sessions over ≤12 weeks could improve the cognitive function of PD patients. Conclusions: TJ affects the cognitive function of PD patients. However, this effect may have a reduced or no significant impact as the disease increases. PD patients can choose TJ as an intervention for 45–60 min twice a week for at least 12 weeks to accomplish maximum improvement in cognitive function
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