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8,227 results on '"Yuejun An"'

106. High-resolution mapping of grassland canopy cover in China through the integration of extensive drone imagery and satellite data

Author

Hu, Tianyu, Cao, Mengqi, Zhao, Xiaoxia, Liu, Xiaoqiang, Liu, Zhonghua, Liu, Liangyun, Huang, Zhenying, Tao, Shengli, Tang, Zhiyao, Guo, Yanpei, Ji, Chengjun, Zheng, Chengyang, Wang, Guoyan, Hu, Xiaokang, Zhou, Luhong, Cheng, Yunxiang, Ma, Wenhong, Wang, Yonghui, Zhang, Pujin, Fan, Yuejun, Yu, Feihai, Wang, Zhong, Qiao, Xiujuan, Cheng, Xiaoli, Yin, Chunying, Ma, Hongyuan, Li, Liping, Yang, Yan, Luo, Wanyin, Gong, Yanming, Wang, Lei, Chen, Leiyi, Liu, Guofang, Song, Chuangye, Yang, Xuejun, Ye, Xuehua, Zhang, Shuren, Zhu, Xiangyun, Wang, Qinggang, Li, Shijin, Yang, Yongchuan, Liu, Lingli, Kelly, Maggi, Fang, Jingyun, and Su, Yanjun

Published
2024
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108. Exome sequencing identifies genetic variants in anophthalmia and microphthalmia

Author

Li, Jingjing, Yang, Wei, Wang, Yuejun Jessie, Ma, Chen, Curry, Cynthia J, McGoldrick, Daniel, Nickerson, Deborah A, Chong, Jessica X, Blue, Elizabeth E, Mullikin, James C, Reefhuis, Jennita, Nembhard, Wendy N, Romitti, Paul A, Werler, Martha M, Browne, Marilyn L, Olshan, Andrew F, Finnell, Richard H, Feldkamp, Marcia L, Pangilinan, Faith, Almli, Lynn M, Bamshad, Mike J, Brody, Lawrence C, Jenkins, Mary M, Shaw, Gary M, Program, NISC Comparative Sequencing, Genomics, University of Washington Center for Mendelian, and Study, Birth Defects Prevention

Subjects
Eye Disease and Disorders of Vision, Genetics, Prevention, Pediatric, Human Genome, Clinical Research, Congenital Structural Anomalies, Aetiology, 2.1 Biological and endogenous factors, Anophthalmos, Exome, Humans, Infant, Microphthalmos, Mutation, Missense, Exome Sequencing, congenital abnormalities, genetic epidemiology, newborn eye abnormalities, NISC Comparative Sequencing Program, University of Washington Center for Mendelian Genomics, National Birth Defects Prevention Study, Clinical Sciences
Abstract

Anophthalmia and microphthalmia (A/M) are rare birth defects affecting up to 2 per 10,000 live births. These conditions are manifested by the absence of an eye or reduced eye volumes within the orbit leading to vision loss. Although clinical case series suggest a strong genetic component in A/M, few systematic investigations have been conducted on potential genetic contributions owing to low population prevalence. To overcome this challenge, we utilized DNA samples and data collected as part of the National Birth Defects Prevention Study (NBDPS). The NBDPS employed multi-center ascertainment of infants affected by A/M. We performed exome sequencing on 67 family trios and identified numerous genes affected by rare deleterious nonsense and missense variants in this cohort, including de novo variants. We identified 9 nonsense changes and 86 missense variants that are absent from the reference human population (Genome Aggregation Database), and we suggest that these are high priority candidate genes for A/M. We also performed literature curation, single cell transcriptome comparisons, and molecular pathway analysis on the candidate genes and performed protein structure modeling to determine the potential pathogenic variant consequences on PAX6 in this disease.

Published
2022

109. Systems Analysis of de novo Mutations in Congenital Heart Diseases Identified a Molecular Network in Hypoplastic Left Heart Syndrome

Author

Wang, Yuejun Jessie, Zhang, Xicheng, Lam, Chi Keung, Guo, Hongchao, Wang, Cheng, Zhang, Sai, Wu, Joseph C, Snyder, Michael, and Li, Jingjing

Subjects
Biotechnology, Heart Disease, Infant Mortality, Human Genome, Genetics, Pediatric Research Initiative, Congenital Structural Anomalies, Cardiovascular, Perinatal Period - Conditions Originating in Perinatal Period, Pediatric, 2.1 Biological and endogenous factors, Aetiology
Abstract

AbstractCongenital heart diseases (CHD) are a class of birth defects affecting ∼1% of live births. These conditions are hallmarked by extreme genetic heterogeneity, and therefore, despite a strong genetic component, only a very handful of at-risk loci in CHD have been identified. We herein introduced systems analyses to uncover the hidden organization on biological networks of genomic mutations in CHD, and leveraged network analysis techniques to integrate the human interactome, large-scale patient exomes, the fetal heart spatial transcriptomes, and single-cell transcriptomes of clinical samples. We identified a highly connected network in CHD where most of the member proteins had previously uncharacterized functions in regulating fetal heart development. While genes on the network displayed strong enrichment for heart-specific functions, a sub-group, active specifically at early developmental stages, also regulates fetal brain development, thereby providing mechanistic insights into the clinical comorbidities between CHD and neurodevelopmental conditions. At a small scale, we experimentally verified previously uncharacterized cardiac functions of several novel proteins employing cellular assays and gene editing techniques. At a global scale, our study revealed developmental dynamics of the identified CHD network and observed the strongest enrichment for pathogenic mutations in the network specific to hypoplastic left heart syndrome (HLHS). Our single-cell transcriptome analysis further identified pervasive dysregulation of the network in cardiac endothelial cells and the conduction system in the HLHS left ventricle. Taken together, our systems analyses identified novel factors in CHD, revealed key molecular mechanisms in HLHS, and provides a generalizable framework readily applicable to studying many other complex diseases.

Published
2022

111. MUTEN: Boosting Gradient-Based Adversarial Attacks via Mutant-Based Ensembles

Author

Guo, Yuejun, Hu, Qiang, Cordy, Maxime, Papadakis, Michail, and Traon, Yves Le

Subjects
Computer Science - Machine Learning, Computer Science - Cryptography and Security, Computer Science - Computer Vision and Pattern Recognition
Abstract

Deep Neural Networks (DNNs) are vulnerable to adversarial examples, which causes serious threats to security-critical applications. This motivated much research on providing mechanisms to make models more robust against adversarial attacks. Unfortunately, most of these defenses, such as gradient masking, are easily overcome through different attack means. In this paper, we propose MUTEN, a low-cost method to improve the success rate of well-known attacks against gradient-masking models. Our idea is to apply the attacks on an ensemble model which is built by mutating the original model elements after training. As we found out that mutant diversity is a key factor in improving success rate, we design a greedy algorithm for generating diverse mutants efficiently. Experimental results on MNIST, SVHN, and CIFAR10 show that MUTEN can increase the success rate of four attacks by up to 0.45.

Published
2021

148. Photon-assisted Landau-Zener transitions in a periodically driven Rabi dimer coupled to a dissipative mode

Author

Zheng, Fulu, Shen, Yuejun, Sun, Kewei, and Zhao, Yang

Subjects
Quantum Physics, Condensed Matter - Other Condensed Matter, Physics - Atomic Physics, Physics - Chemical Physics, Physics - Computational Physics
Abstract

We investigate multiple photon-assisted Landau-Zener (LZ) transitions in a hybrid circuit quantum electrodynamics device in which each of two interacting transmission-line resonators is coupled to a qubit, and the qubits are driven by periodic driving fields and also coupled to a common phonon mode. The quantum state of the entire composite system is modeled using the multi-$\rm D_2$ Ansatz in combination with the time-dependent Dirac-Frenkel variational principle. Applying a sinusoidal driving field to one of the qubits, this device is an ideal platform to study the photon-assisted LZ transitions by comparing the dynamics of the two qubits. A series of interfering photon-assisted LZ transitions take place if the photon frequency is much smaller than the driving amplitude. Once the two energy scales are comparable, independent LZ transitions arise and a transition pathway is revealed using an energy diagram. It is found that both adiabatic and nonadiabatic transitions are involved in the dynamics. Used to model environmental effects on the LZ transitions, the common phonon mode coupled to the qubits allows for more available states to facilitate the LZ transitions. An analytical formula is obtained to estimate the short-time phonon population and produces results in reasonable agreement with numerical calculations. Equipped with the knowledge of the photon-assisted LZ transitions in the system, we can precisely manipulate the qubit state and successfully generate the qubit dynamics with a square-wave pattern by applying driving fields to both qubits, opening up new venues to manipulate the states of qubits and photons in quantum information devices and quantum computers

Published
2021
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