4,435 research outputs found
Large-Eddy Simulation of Pollutant Dispersion from a Ground-Level Area Source Over Urban Street Canyons with Irreversible Chemical Reactions
published_or_final_versio
A quantitative trait locus for the number of days from sowing to seedling emergence in maize
Quantitative trait locus (QTL) mapping provides useful information for breeding programs since it allows the estimation of genomic locations and genetic effects of chromosomal regions related to the expression of quantitative traits. The number of days from sowing to seedling emergence (NDSSE) is an important agronomic trait in a maize (Zea mays L.) breeding project which is related to yield. To determine its genetic basis, a recombinant inbred line (RIL) population and two nitrogen (N) regimes were used to detect the QTLs associated with NDSSE; as a result, one QTL was identified under high N regime, on chromosome 9, which could explain 6.20% of phenotypic variance and a decrease of 0.18 of NDSSE due to an additive effect. These results are beneficial for understanding the genetic basis of NDSSE in maize breeding project.Key words: Maize (Zea mays L.), quantitative trait locus, recombinant inbred line, nitrogen
The analysis of pipelines' Penetration Laid on the Elastic-Plastic Seabed Based on the ABAQUS Software
The pipeline's stability is the key problem of submarine pipeline's design. In order to supply the theory basis for the pipeline's design, the ABAQUS software has been adopted to analyze the pipe/soil system. The Ramberg-Osgood model has been adopted to simulate the seabed; the contact pair also adopted to simulate the pipe/soil system, the dynamic boundary contact problem of pipe embedded into the seabed has been analyzed. The computation has been operated according to change pipe's subweight, environment load, pipe's diameter, yielding stress and so on. The computation results have shown that these parameters have effects on the pipe's penetration
基于局部模糊方差的过渡区提取及图像分割
Author name used in this publication: 田岩Author name used in this publication: 刘继军Author name used in this publication: 谢玉波Author name used in this publication: SHI Wen-Zhong2007-2008 > Academic research: refereed > Publication in refereed journal202012 bcrcVersion of RecordPublishe
基于局部方差的多分辨率图像分割方法
Author name used in this publication: 田岩Author name used in this publication: 谢玉波Author name used in this publication: SHI Wen-zhongAuthor name used in this publication: 彭复员Author name used in this publication: 柳健2006-2007 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
A global disorder of imprinting in the human female germ line
Imprinted genes are expressed differently depending on whether they are carried by a chromosome of maternal or paternal origin. Correct imprinting is established by germline-specific modifications; failure of this process underlies several inherited human syndromes. All these imprinting control defects are cis-acting, disrupting establishment or maintenance of allele-specific epigenetic modifications across one contiguous segment of the genome. In contrast, we report here an inherited global imprinting defect. This recessive maternal-effect mutation disrupts the specification of imprints at multiple, non-contiguous loci, with the result that genes normally carrying a maternal methylation imprint assume a paternal epigenetic pattern on the maternal allele. The resulting conception is phenotypically indistinguishable from an androgenetic complete hydatidiform mole, in which abnormal extra-embryonic tissue proliferates while development of the embryo is absent or nearly so. This disorder offers a genetic route to the identification of trans-acting oocyte factors that mediate maternal imprint establishment
Weakly supervised segmentation from extreme points
Annotation of medical images has been a major bottleneck for the development
of accurate and robust machine learning models. Annotation is costly and
time-consuming and typically requires expert knowledge, especially in the
medical domain. Here, we propose to use minimal user interaction in the form of
extreme point clicks in order to train a segmentation model that can, in turn,
be used to speed up the annotation of medical images. We use extreme points in
each dimension of a 3D medical image to constrain an initial segmentation based
on the random walker algorithm. This segmentation is then used as a weak
supervisory signal to train a fully convolutional network that can segment the
organ of interest based on the provided user clicks. We show that the network's
predictions can be refined through several iterations of training and
prediction using the same weakly annotated data. Ultimately, our method has the
potential to speed up the generation process of new training datasets for the
development of new machine learning and deep learning-based models for, but not
exclusively, medical image analysis.Comment: Accepted at the MICCAI Workshop for Large-scale Annotation of
Biomedical data and Expert Label Synthesis, Shenzen, China, 201
Design of a five-axis ultra-precision micro-milling machine—UltraMill. Part 1: Holistic design approach, design considerations and specifications
High-accuracy three-dimensional miniature components and microstructures are increasingly in demand in the sector of electro-optics, automotive, biotechnology, aerospace and information-technology industries. A rational approach to mechanical micro machining is to develop ultra-precision machines with small footprints. In part 1 of this two-part paper, the-state-of-the-art of ultra-precision machines with micro-machining capability is critically reviewed. The design considerations and specifications of a five-axis ultra-precision micro-milling machine—UltraMill—are discussed. Three prioritised design issues: motion accuracy, dynamic stiffness and thermal stability, formulate the holistic design approach for UltraMill. This approach has been applied to the development of key machine components and their integration so as to achieve high accuracy and nanometer surface finish
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