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    题名 作者 年代 出处 被引量
1Video Copy Detection Based on Spatiotemporal Fusion Model显示文摘Content-based video copy detection is an active research field due to the need for copyright pro-tection and business intellectual property protection. This paper gives a probabilistic spatiotemporal fusion approach for video copy detection. This approach directly estimates the location of the copy segment with a probabilistic graphical model. The spatial and temporal consistency of the video copy is embedded in the local probability function. An effective local descriptor and a two-level descriptor pairing method are used to build a video copy detection system to evaluate the approach. Tests show that it outperforms the popular voting algorithm and the probabilistic fusion framework based on the Hidden Markov Model, improving F-score (F1) by 8%.Jianmin Li Yingyu Liang Bo Zhang 2012Tsinghua Science and Technology2012,17,1:4
2Graph neural networks for an accurate and interpretable prediction of the properties of polycrystalline materials显示文摘Various machine learning models have been used to predict the properties of polycrystalline materials,but none of them directly consider the physical interactions among neighboring grains despite such microscopic interactions critically determining macroscopic material properties.Here,we develop a graph neural network(GNN)model for obtaining an embedding of polycrystalline microstructure which incorporates not only the physical features of individual grains but also their interactions.The embedding is then linked to the target property using a feed-forward neural network.Using the magnetostriction of polycrystalline Tb_(0.3)Dy_(0.7)Fe_(2) alloys as an example,we show that a single GNN model with fixed network architecture and hyperparameters allows for a low prediction error of~10%over a group of remarkably different microstructures as well as quantifying the importance of each feature in each grain of a microstructure to its magnetostriction.Such a microstructure-graph-based GNN model,therefore,enables an accurate and interpretable prediction of the properties of polycrystalline materials.Minyi Dai Mehmet F.Demirel Yingyu Liang Jia-Mian Hu 2021npj Computational Materials2021,,1:3
3Risk Factors and Pregnancy Outcome in Women with a History of Cesarean Section Complicated by Placenta Accreta显示文摘Objective:To explore the risk factors and pregnancy outcomes in women with a history of cesarean section complicated by placenta accreta(PA).Methods:This case-control study included clinical data from singleton mothers with a history of cesarean section in 11 public tertiary hospitals in seven provinces of China between January 2017 and December 2017.According to the intraoperative findings after delivery,the study population was divided into PA and non-PA groups.We compared the pregnancy outcomes between the two groups,used multivariate logistic regression to analyze the risk factors for placental accreta.Results:For this study we included 11,074 pregnant women with a history of cesarean section;and of these,869 cases were in the PA group and 10,205 cases were in the non-PA group.Compared with the non-PA group,the probability of postpartum hemorrhage(236/10,205,2.31%vs.283/869,32.57%),severe postpartum hemorrhage(89/10,205,0.87%vs.186/869,21.75%),diffuse intravascular coagulation(3/10,205,0.03%vs.4/869,0.46%),puerperal infection(33/10,205,0.32%vs.12/869,1.38%),intraoperative bladder injury(1/10,205,0.01%vs.16/869,1.84%),hysterectomy(130/10,205,1.27%vs.59/869,6.79%),and blood transfusion(328/10,205,3.21%vs.231/869,26.58%)was significantly increased in the PA group(P<0.05).At the same time,the neonatal birth weight 3250.00(2950.00–3520.00)g vs.2920.00(2530.00–3250.00)g),the probability of neonatal comorbidities(245/10,205,2.40%vs.61/869,7.02%),and the rate of neonatal intensive care unit admission(817/10,205,8.01%vs.210/869,24.17%)also increased significantly(P<0.05).Weight(odds ratio)(OR)=1.03,95%confidence interval(CI):1.01–1.05)),parity(OR=1.18,95%CI:1.03–1.34),number of miscarriages(OR=1.31,95%CI:1.17–1.47),number of previous cesarean sections(OR=2.57,95%CI:2.02–3.26),history of premature rupture of membrane(OR=1.61,95%CI:1.32–1.96),previous cesarean-section transverse incisions(OR=1.38,95%CI:1.12–1.69),history of placenta previa(OR=2.44,95%CI:1.50–3.96),and the combination of prenatal hemorrhage(OR=9.95,95%CI:8.42–11.75)and placenta previa(OR=91.74,95%CI:74.11–113.56)were all independent risk factors for PA.Conclusion:There was an increased risk of adverse outcomes in pregnancies complicated by PA in women with a history of cesarean section,and this required close clinical attention.Weight before pregnancy,parity,number of miscarriages,number of previous cesarean sections,history of premature rupture of membranes,past transverse incisions in cesarean sections,a history of placenta previa,prenatal hemorrhage,and placenta previa were independent risk factors for pregnancies complicated with PA in women with a history of cesarean section.These independent risk factors showed a high value in predicting the risk for placentab accreta in pregnancies of women with a history of cesarean section.Yingyu Liang Lizi Zhang Shilei Bi Jingsi Chen Shanshan Zeng Lijun Huang Yulian Li Minshan Huang Hu Tan Jinping Jia Suiwen Wen Zhijian Wang Yinli Cao Shaoshuai Wang Xiaoyan Xu Ling Feng Xianlan Zhao Yangyu Zhao Qiying Zhu Hongbo Qi Lanzhen Zhang Hongtian Li Lili Du Dunjin Chen 2022Maternal-Fetal Medicine2022,4,3:1
4Author Correction: Graph neural networks for an accurate and interpretable prediction of the properties of polycrystalline materials显示文摘The authors became aware that the message passing (via the term D^^(−1/2)A^D^^(−1/2)) between neighboring nodes was not implemented in the layer-wise update function (Equation (1)) due to an error in the original code of the graph neural network (GNN) model.After code modification,the following changes have been made to the original version of this Article.Minyi Dai Mehmet F.Demirel Yingyu Liang Jia-Mian Hu 2022npj Computational Materials2022,,1:0
5Cellular and Molecular Atlas of Peripheral Blood Mononuclear Cells from a Pregnant Woman After Recovery from COVID-19显示文摘Objective:This study aimed to investigate the immune response of a pregnant woman who recovered from the coronavirus disease 2019(COVID_(R)S)by using single-cell transcriptomic profiling of peripheral blood mononuclear cells(PBMCs)and to analyze the properties of different immune cell subsets.Methods:PBMCs were collected from the COVID_(R)S patient at 28 weeks of gestation,before a cesarean section.The PBMCs were then analyzed using single-cell RNA sequencing.The transcriptional profiles of myeloid,T,and natural killer(NK)cell subsets were systematically analyzed and compared with those of healthy pregnant controls from a published single-cell RNA sequencing data set.Results:We identified major cell types such as T cells,B cells,NK cells,and myeloid cells in the PBMCs of our COVID_(R)S patient.The increase of myeloid and B cells and decrease of T cells and NK cells in the PBMCs in this patient were quite distinct compared with that in the control subjects.After reclustering and Augur analysis,we found that CD16 monocytes and mucosal-associated invariant T(MAIT)cells were mostly affected within different myeloid,T,and NK cell subtypes in our COVID_(R)S patient.The proportion of CD16 monocytes in the total myeloid population was increased,and the frequency of MAIT cells in the total T and NK cells was significantly decreased in the COVID-RS patient.We also observed significant enrichment of gene sets related to antigen processing and presentation,T-cell activation,T-cell differentiation,and tumor necrosis factor superfamily cytokine production in CD16 monocytes,and enrichment of gene sets related to antigen processing and presentation,response to type II interferon,and response to virus in MAIT cells.Conclusion:Our study provides a single-cell resolution atlas of the immune gene expression patterns in PBMCs from a COVID_(R)S patient.Our findings suggest that CD16-positive monocytes and MAIT cells likely play crucial roles in the maternal immune response against severe acute respiratory syndrome coronavirus 2 infection.These results contribute to a better understanding of the maternal immune response to severe acute respiratory syndrome coronavirus 2 infection and may have implications for the development of effective treatments and preventive strategies for the coronavirus disease 2019 in pregnant women.Lili Du Yingyu Liang Xiaoyi Wang Lijun Huang Xingfei Pan Jingsi Chen Dunjin Chen 2023Maternal-Fetal Medicine2023,5,2:0
6Nucleoporin 35 regulates cardiomyocyte pH homeostasis by controlling Na^(+)-H^(+)exchanger-1 expression显示文摘The mammalian nuclear pore complex is comprised of∼30 different nucleoporins(Nups).It governs the nuclear import of gene expression modulators and the export of mRNAs.In cardiomyocytes,Na1-H1 exchanger-1(NHE1)is an integral membrane protein that exclusively regulates intracellular pH(pHi)by exchanging one intracellular H1 for one extracellular Na1.However,the role of Nups in cardiac NHE1 expression remains unknown.We herein report that Nup35 regulates cardiomyocyte NHE1 expression by controlling the nucleo-cytoplasmic trafficking of nhe1 mRNA.The N-terminal domain of Nup35 determines nhe1 mRNA nuclear export by targeting the 5′-UTR(2412 to2213 nt)of nhe1mRNA.Nup35 ablationweakensthe resistance of cardiomyocytes to an acid challenge by depressingNHE1 expression.Moreover,we identify thatNup35 andNHE1 are simultaneously downregulated in ischemic cardiomyocytes both in vivo and in vitro.Enforced expression of Nup35 effectively counteracts the anoxia-induced intracellular acidification.We conclude that Nup35 selectively regulates cardiomyocyte pHi homeostasis by posttranscriptionally controlling NHE1 expression.This finding reveals a novel regulatory mechanism of cardiomyocyte pHi,and may provide insight into the therapeutic strategy for ischemic cardiac diseases.Liang Xu Lei Pan Jun Li Bijun Huang Jing Feng Changming Li ShiyiWang Erlinda The Yuan Liu Tianyou Yuan Lixiao Zhen Dandan Liang Yi Liu Li Li Yingyu Cui Xiaoyan Jiang Luying Peng Yi-Han Chen 2015Journal of Molecular Cell Biology2015,7,5:0
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