172 research outputs found
Genetic dissection of stalk lodging-related traits using an IBM Syn10 DH population in maize across three environments (Zea mays L.)
No full textThe heavy metals lead and cadmium have become important pollutants in the environment, which exert negative effects on plant morphology, growth and photosynthesis. It is particularly significant to uncover the genetic loci and the causal genes for lead and cadmium tolerance in plants. This study used an IBM Syn10 DH population to identify the quantitative trait loci (QTL) controlling maize seedling tolerance to lead and cadmium by linkage mapping. The broad-sense heritability of these seedling traits ranged from 65.8%-97.3% and 32.0%-98.8% under control (CK) and treatment (T) conditions, respectively. A total of 53 and 64 QTL were detected under CK and T conditions, respectively. Moreover, 42 QTL were identified by using lead and cadmium tolerance coefficient (LCTC). Among these QTL, five and two major QTL that explained > 10% of phenotypic variation were identified under T condition and using LCTC, respectively. Furthermore, eight QTL were simultaneously identified by T and LCTC, explaining 5.23% to 9.21% of the phenotypic variations. Within these major and common QTL responsible for the combined heavy metal tolerance, four candidate genes (Zm00001d048759, Zm00001d004689, Zm00001d004843, Zm00001d033527) were previously reported to correlate with heavy metal transport and tolerance. These findings will contribute to functional gene identification and molecular marker-assisted breeding for improving heavy metal tolerance in maize.This is a manuscript of an article published as Zhang, Yanling, Tianhu Liang, Min Chen, Yinchao Zhang, Tao Wang, Haijian Lin, Tingzhao Rong et al. "Genetic dissection of stalk lodging-related traits using an IBM Syn10 DH population in maize across three environments (Zea mays L.)." Molecular Genetics and Genomics 294 (2019): 1277-1288. doi:10.1007/s00438-019-01576-6. Posted with permission.</p
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Two studies of topological quantum field theory in two dimensions
No full textTake powers of the determinant line bundles on the relative moduli spaces (or stacks) of principal G-bundles over relative curves C over a base space B, and then push them down to the base space B --- the resulting sheaves over B, which are in fact vector bundles, are known as the Verlinde bundles. They satisfy certain ``gluing'' properties and yield a structure known as (K-theoretic) cohomological field theory, which is a type of families 2-dimensional topological quantum field theory. In the first part of this thesis, we carry out an investigation of the higher twisted Verlinde bundles, as defined by Teleman--Woodward, for the case when G is C^*, the multiplicative group of complex numbers. In particular, we show that their Chern characters can be written in terms of tautological classes. This generalizes the known fact that the ordinary Verlinde bundles have tautological Chern characters; indeed we also include in our study an explicit computation of the Chern characters of the C^*-Verlinde bundles. From this computation we are able to explicitly demonstrate the gluing properties in action.By results of Costello and of Konstevich and collaborators, cohomological field theories can also arise from categories that are homologically smooth, proper, and Calabi--Yau. The state space of such a theory is given by the Hochschild (co)homology of the category. In the second part of this thesis, then, we study categories of matrix factorizations for Landau--Ginzburg models (X,W), where X is a complex variety. We show that when X is smooth and Calabi--Yau as a variety and W has a proper critical locus, the corresponding category of matrix factorizations is homologically smooth, proper, and Calabi--Yau as a category. Furthermore, we compute the Hochschild cohomology of these matrix factorization categories, and we get the result predicted by Kontsevich. These results, which are joint with Daniel Pomerleano, generalize the results of Dyckerhoff for the case when X is affine local and W has an isolated singularity.We conclude with some brief remarks on forthcoming work, also joint with Daniel Pomerleano, in which we propose mirror partners to certain Fano non-toric 3-folds which can be degenerated to nodal toric varieties. Using our results on matrix factorization categories, we are able to prove some homological mirror symmetry results for these proposed mirror pairs
Road extraction from ETM panchromatic image based on dual-edge following
No full textResearch on road extraction from digital imagery is motivated by the need for data acquisition and update for geographic information systems (GIS). Roads usually have parallelism of road sides, and on the images, especially the edge map, there are dual edges for each road. In this paper, we propose an approach for automatically extracting road from ETM panchromatic image with a resolution of 15 meters based on Dual-Edge Following. Our approach uses the Edge Detector with Embedded Confidence (EDEC, Peter Meer, 2001) to detect road edge, then traces road to generate road candidates by Dual-Edge Following, next exploits the perceptual organization based on probability to link the road segments. Dual-Edge Following use edge information of both road sides to search for road segments which can improve the precision of road segments. The experiment with ETM panchromatic image in XinJiang, China shows the validity of the approach.Engineering, Electrical & ElectronicGeosciences, MultidisciplinaryRemote SensingEICPCI-S(ISTP)
A Neurocomputational Model of Figure-Ground Discrimination by Relative Motion
No full text. A neurocomputational model is presented for figure-ground discrimination by relative motion. In the model, the correlation type of elementary motion detectors (EMDs), an oscillatory neural network for motion perception and a selective attention module are involved. It is shown that through the oscillatory amplitude and frequency encoding and selective synchronization of phase oscillators, a perfectly camouflaged textured figure can be successfully discriminated from its identically textured background by relative motion alone. KEY WORDS: figure-ground discrimination, EMDs, oscillatory neural network (ONN), multilayer network of phase oscillators. 1 Introduction An object ("figure") can, at least in principle, be discriminated from a textured background on the basis of differences in structure, texture, disparity, color, luminance and contrast. However, even if figure and ground do not differ in these features, they can also be separated when they move relatively to each other. Figu..
Gauge Deterioration Prediction of Urban Rail Transit Lines Based on CEEMD and SVR
No full text［Objective］ In order to strengthen the status ma-nagement of urban rail transit line sections, it is necessary to predict the overall deterioration trend of the gauge in space. ［Method］ CEEMD (complementary ensemble empirical mode decomposition) theory is introduced to extract the IMF (intrinsic mode function) of the geometric alignment of the track section. The PSO (particle swarm optimization) algorithm is utilized to optimize the SVR (support vector regression machine) to train and test the extracted data after calibrating the optimal parameters of the prediction model. Thus, the CEEMD-PSO-SVR prediction model is constructed. The prediction model is tested with 1,128 sets of track inspection sample data within the upward track section from K12+134 to K15+743 on Shanghai Metro Line 16. ［Result & Conclusion］ Compared with the PSO-SVR model and the ARIMA (autoregressive integrated moving average) model, the CEEMD-PSO-SVR prediction model has advantages in three performance evaluation indicators, namely root mean square error, mean absolute error, and absolute value of mean relative error
QRS classification using adaptive Hermite decomposition and radial basis function network
No full textEmerg Infect Dis
No full textWe report a case-series study of 5 patients with Japanese spotted fever from the Three Gorges Area in China, including 1 fatal case. Seroprevalence of Rickettsia japonica was 4821% among the local population. Our report highlights the emerging potential threat to human health of Japanese spotted fever in the area
STUDY ON ROAD DAMAGE ASSESSMENT BASED ON RS AND GIS
No full textAfter the occurrence of natural disasters, objective and accurate assessment of road damage is the key to emergency rescue. However, in the traditional road damage assessment, the assessment factor and the form of assessment result are single. It can only give an overview of damaged roads, but can't further provide their traffic capacities, which are essential for the disaster relief department. A new approach of road damage assessment is presented in this paper. The damage levels are graded based on the magnitude of actual traffic capacities of post-disaster roads, and the detailed damage information is output at three levels-damage block level, single-road level and region level. The proposed method is applied in the damage assessment of roads in Wenchuan County, China, which was hit by an 8.0-magnitude earthquake. The experimental result shows the validity of this method.Geosciences, MultidisciplinaryRemote SensingEICPCI-S(ISTP)
Description of combined spatial relations between broad boundary regions based on rough set
No full textThe uncertain regions are modeled by broad boundary regions, while the description and reasoning of combined spatial relations between them are still unresolved problems. So far, the research about describing spatial relations mainly focuses on single-kind of spatial relation between simple and certain objects, rather than the combination of multi-kinds of spatial relations between uncertain regions. In addition, the uncertainty of formalizing combined spatial relations between uncertain regions is still a puzzle problem. Based on this point, the rough set theory is introduced into describing combined spatial relations between broad boundary regions. First, topological relations, exterior direction relations and detailed direction relations are approximated by a lower and an upper rough set, respectively, and then the difference set between the two sets indicates the uncertainty of spatial relations. Finally, the combination of the topological and direction relations between broad boundary regions is used to describe combined spatial relations.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000241790900088&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Computer Science, Artificial IntelligenceComputer Science, Theory & MethodsSCI(E)CPCI-S(ISTP)
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