19 Works

A high-quality Buxus austro-yunnanensis (Buxales) genome provides new insights into karyotype evolution in early eudicots

Zhenyue Wang, Ying Li, Pengchuan Sun, Mingjia Zhu, Dandan Wang, Zhiqiang Lu, Hongyin Hu, Renping Xu, Jin Zhang, Jianxiang Ma, Jianquan Liu & Yongzhi Yang
Abstract Background Eudicots are the most diverse group of flowering plants that compromise five well-defined lineages: core eudicots, Ranunculales, Proteales, Trochodendrales, and Buxales. However, the phylogenetic relationships between these five lineages and their chromosomal evolutions remain unclear, and a lack of high-quality genome analyses for Buxales has hindered many efforts to address this knowledge gap. Results Here, we present a high-quality chromosome-level genome of Buxus austro-yunnanensis (Buxales). Our phylogenomic analyses revealed that Buxales and Trochodendrales...

Prognostic significance of atrial cardiopathy in patients with acute ischemic stroke

Yueyang Wu, Xiaomeng Yang, Jing Jing, Xia Meng, Zixiao Li, Yuesong Pan, Yong Jiang, Hongyi Yan, Xinying Huang, Liping Liu, Xingquan Zhao, Yilong Wang, Hao Li & Yongjun Wang
Introduction:Whether atrial cardiopathy is associated with stroke prognosis remains unclear. We evaluated the association between atrial cardiopathy markers and outcomes in patients with ischemic stroke using a nationwide prospective registry.Patients and methods:Based on the Third China National Stroke Registry, we evaluated different atrial cardiopathy markers including increased P-wave terminal force in V1 (PTFV1), advanced interatrial block (aIAB), prolonged P-wave duration, prolonged P-wave dispersion, paroxysmal supraventricular tachycardia, premature atrial contractions, prolonged PR interval, and severe left...

Spatio-temporal doubly periodic waves in phase-mismatched second-harmonic generation

Zhixiang Deng, Jin Zhang, Dianyuan Fan & LIFU ZHANG
In this Letter we present the analytical and numerical investigation to characterize the formation of quadratic doubly periodic waves, originating from coherent modulation instability in a dispersive quadratic media in the regime of cascading second-harmonic generation. Such an endeavor has not been undertaken before despite the growing relevance of double-periodic solutions as the precursor of highly localized wave structures. Unlike the case with cubic nonlinearity, the periodicity of these quadratic nonlinear waves can be also...

A high-quality Buxus austro-yunnanensis (Buxales) genome provides new insights into karyotype evolution in early eudicots

Zhenyue Wang, Ying Li, Pengchuan Sun, Mingjia Zhu, Dandan Wang, Zhiqiang Lu, Hongyin Hu, Renping Xu, Jin Zhang, Jianxiang Ma, Jianquan Liu & Yongzhi Yang
Abstract Background Eudicots are the most diverse group of flowering plants that compromise five well-defined lineages: core eudicots, Ranunculales, Proteales, Trochodendrales, and Buxales. However, the phylogenetic relationships between these five lineages and their chromosomal evolutions remain unclear, and a lack of high-quality genome analyses for Buxales has hindered many efforts to address this knowledge gap. Results Here, we present a high-quality chromosome-level genome of Buxus austro-yunnanensis (Buxales). Our phylogenomic analyses revealed that Buxales and Trochodendrales...

Prognostic significance of atrial cardiopathy in patients with acute ischemic stroke

Yueyang Wu, Xiaomeng Yang, Jing Jing, Xia Meng, Zixiao Li, Yuesong Pan, Yong Jiang, Hongyi Yan, Xinying Huang, Liping Liu, Xingquan Zhao, Yilong Wang, Hao Li & Yongjun Wang
Introduction:Whether atrial cardiopathy is associated with stroke prognosis remains unclear. We evaluated the association between atrial cardiopathy markers and outcomes in patients with ischemic stroke using a nationwide prospective registry.Patients and methods:Based on the Third China National Stroke Registry, we evaluated different atrial cardiopathy markers including increased P-wave terminal force in V1 (PTFV1), advanced interatrial block (aIAB), prolonged P-wave duration, prolonged P-wave dispersion, paroxysmal supraventricular tachycardia, premature atrial contractions, prolonged PR interval, and severe left...

Engineering Yarrowia lipolytica for the sustainable production of β-farnesene from waste oil feedstock

Yinghang Liu, Jin Zhang, Qingbin Li, Zhaoxuan Wang, Zhiyong Cui, Tianyuan Su, Xuemei Lu, Qingsheng Qi & Jin Hou
Abstract Background β-Farnesene is a sesquiterpene with versatile industrial applications. The production of β-farnesene from waste lipid feedstock is an attractive method for sustainable production and recycling waste oil. Yarrowia lipolytica is an unconventional oleaginous yeast, which can use lipid feedstock and has great potential to synthesize acetyl-CoA-derived chemicals. Results In this study, we engineered Y. lipolytica to produce β-farnesene from lipid feedstock. To direct the flux of acetyl-CoA, which is generated from lipid β-oxidation,...

Spatio-temporal doubly periodic waves in phase-mismatched second-harmonic generation

Zhixiang Deng, Jin Zhang, Dianyuan Fan & LIFU ZHANG
In this Letter we present the analytical and numerical investigation to characterize the formation of quadratic doubly periodic waves, originating from coherent modulation instability in a dispersive quadratic media in the regime of cascading second-harmonic generation. Such an endeavor has not been undertaken before despite the growing relevance of double-periodic solutions as the precursor of highly localized wave structures. Unlike the case with cubic nonlinearity, the periodicity of these quadratic nonlinear waves can be also...

Evaluation of Online Andrology Medical Services in Central Regions of China During the COVID-19 Pandemic: A Cross-Sectional Data Analysis Study

Zhi Liu, Chunyu Zhang, Cong Luo, Junlin Ou, Ming Song, Lingxiao Yang, Xin Wang, Jinbo Chen, Guilin Wang & Tao Guo
To provide an overview of the current situation, challenges, and trends in online medical services from the perspective of andrology and promote the development of online medical services. Users of the Learning Alliance of Urology, who mainly worked in central regions of China, were invited to complete the questionnaire that included information on the participants and their institutions and their involvement in and concerns for online medical services. We received 875 complete responses. The percentage...

Key frames assisted hybrid encoding for photorealistic compressive video sensing

Honghao Huang, Jiajie Teng, Yu Liang, Chengyang Hu, Minghua Chen, Sigang Yang & Hongwei Chen
Snapshot compressive imaging (SCI) encodes high-speed scene video into a snapshot measurement and then computationally makes reconstructions, allowing for efficient high-dimensional data acquisition. Numerous algorithms, ranging from regularization-based optimization and deep learning, are being investigated to improve reconstruction quality, but they are still limited by the ill-posed and information-deficient nature of the standard SCI paradigm. To overcome these drawbacks, we propose a new key frames assisted hybrid encoding paradigm for compressive video sensing, termed KH-CVS,...

Genetic analysis of 55 cases with fetal skeletal dysplasia

Ying Bai, Yue Sun, Ning Liu, Li Wang, Zhihui Jiao, Yaqin Hou, Huikun Duan, Qianqian Li, Xiaofan Zhu, Jingjing Meng & Xiangdong Kong
Abstract Background Fetal skeletal dysplasia (SD) is a common congenital disability comprising a complex group of skeletal disorders with substantial clinical and genetic heterogeneity. Many of these defects are detected prenatally using ultrasound (US). However, the diagnostic accuracy of the US is limited. Methods We recruited 55 unrelated fetuses with US-detected skeletal anomalies and performed sequential tests using copy number variation sequencing, targeted skeletal gene panel sequencing, or whole exome sequencing. The detected variants were...

Effective hospital readmission prediction models using machine-learned features

Sacha Davis, Jin Zhang, Ilbin Lee, Mostafa Rezaei, Russell Greiner, Finlay A. McAlister & Raj Padwal
Abstract Background: Hospital readmissions are one of the costliest challenges facing healthcare systems, but conventional models fail to predict readmissions well. Many existing models use exclusively manually-engineered features, which are labor intensive and dataset-specific. Our objective was to develop and evaluate models to predict hospital readmissions using derived features that are automatically generated from longitudinal data using machine learning techniques. Methods: We studied patients discharged from acute care facilities in 2015 and 2016 in Alberta,...

Key frames assisted hybrid encoding for photorealistic compressive video sensing

Honghao Huang, Jiajie Teng, Yu Liang, Chengyang Hu, Minghua Chen, Sigang Yang & Hongwei Chen
Snapshot compressive imaging (SCI) encodes high-speed scene video into a snapshot measurement and then computationally makes reconstructions, allowing for efficient high-dimensional data acquisition. Numerous algorithms, ranging from regularization-based optimization and deep learning, are being investigated to improve reconstruction quality, but they are still limited by the ill-posed and information-deficient nature of the standard SCI paradigm. To overcome these drawbacks, we propose a new key frames assisted hybrid encoding paradigm for compressive video sensing, termed KH-CVS,...

Genetic analysis of 55 cases with fetal skeletal dysplasia

Ying Bai, Yue Sun, Ning Liu, Li Wang, Zhihui Jiao, Yaqin Hou, Huikun Duan, Qianqian Li, Xiaofan Zhu, Jingjing Meng & Xiangdong Kong
Abstract Background Fetal skeletal dysplasia (SD) is a common congenital disability comprising a complex group of skeletal disorders with substantial clinical and genetic heterogeneity. Many of these defects are detected prenatally using ultrasound (US). However, the diagnostic accuracy of the US is limited. Methods We recruited 55 unrelated fetuses with US-detected skeletal anomalies and performed sequential tests using copy number variation sequencing, targeted skeletal gene panel sequencing, or whole exome sequencing. The detected variants were...

Engineering Yarrowia lipolytica for the sustainable production of β-farnesene from waste oil feedstock

Yinghang Liu, Jin Zhang, Qingbin Li, Zhaoxuan Wang, Zhiyong Cui, Tianyuan Su, Xuemei Lu, Qingsheng Qi & Jin Hou
Abstract Background β-Farnesene is a sesquiterpene with versatile industrial applications. The production of β-farnesene from waste lipid feedstock is an attractive method for sustainable production and recycling waste oil. Yarrowia lipolytica is an unconventional oleaginous yeast, which can use lipid feedstock and has great potential to synthesize acetyl-CoA-derived chemicals. Results In this study, we engineered Y. lipolytica to produce β-farnesene from lipid feedstock. To direct the flux of acetyl-CoA, which is generated from lipid β-oxidation,...

Spatio-temporal doubly periodic waves in phase-mismatched second-harmonic generation

Zhixiang Deng, Jin Zhang, Dianyuan Fan & LIFU ZHANG
In this Letter we present the analytical and numerical investigation to characterize the formation of quadratic doubly periodic waves, originating from coherent modulation instability in a dispersive quadratic media in the regime of cascading second-harmonic generation. Such an endeavor has not been undertaken before despite the growing relevance of double-periodic solutions as the precursor of highly localized wave structures. Unlike the case with cubic nonlinearity, the periodicity of these quadratic nonlinear waves can be also...

Effective hospital readmission prediction models using machine-learned features

Sacha Davis, Jin Zhang, Ilbin Lee, Mostafa Rezaei, Russell Greiner, Finlay A. McAlister & Raj Padwal
Abstract Background: Hospital readmissions are one of the costliest challenges facing healthcare systems, but conventional models fail to predict readmissions well. Many existing models use exclusively manually-engineered features, which are labor intensive and dataset-specific. Our objective was to develop and evaluate models to predict hospital readmissions using derived features that are automatically generated from longitudinal data using machine learning techniques. Methods: We studied patients discharged from acute care facilities in 2015 and 2016 in Alberta,...

Evaluation of Online Andrology Medical Services in Central Regions of China During the COVID-19 Pandemic: A Cross-Sectional Data Analysis Study

Zhi Liu, Chunyu Zhang, Cong Luo, Junlin Ou, Ming Song, Lingxiao Yang, Xin Wang, Jinbo Chen, Guilin Wang & Tao Guo
To provide an overview of the current situation, challenges, and trends in online medical services from the perspective of andrology and promote the development of online medical services. Users of the Learning Alliance of Urology, who mainly worked in central regions of China, were invited to complete the questionnaire that included information on the participants and their institutions and their involvement in and concerns for online medical services. We received 875 complete responses. The percentage...

Good collaterals and better outcomes after EVT for basilar artery occlusion: A systematic review and meta-analysis

Yuying Liu, Xuan Tian, Thomas W Leung, Liping Liu, David S Liebeskind & Xinyi Leng
Background:Stroke caused by acute basilar artery occlusion (BAO) is devastating with high dependency and mortality. Recent trials have demonstrated the efficacy of endovascular treatment (EVT) for acute BAO, while pretreatment collaterals may be a valuable prognostic indicator for post-EVT outcomes.Aims:To systematically review and synthesize evidence on the associations between pretreatment collateral status and outcomes after EVT in acute BAO.Methods:We retrieved relevant full-text articles published in English since 1 January 2010, reporting associations between pretreatment collateral...

Good collaterals and better outcomes after EVT for basilar artery occlusion: A systematic review and meta-analysis

Yuying Liu, Xuan Tian, Thomas W Leung, Liping Liu, David S Liebeskind & Xinyi Leng
Background:Stroke caused by acute basilar artery occlusion (BAO) is devastating with high dependency and mortality. Recent trials have demonstrated the efficacy of endovascular treatment (EVT) for acute BAO, while pretreatment collaterals may be a valuable prognostic indicator for post-EVT outcomes.Aims:To systematically review and synthesize evidence on the associations between pretreatment collateral status and outcomes after EVT in acute BAO.Methods:We retrieved relevant full-text articles published in English since 1 January 2010, reporting associations between pretreatment collateral...

Registration Year

  • 2023
    2
  • 2022
    17

Resource Types

  • Collection
    19

Affiliations

  • Guangxi Normal University
    19
  • Chinese Academy of Medical Sciences & Peking Union Medical College
    15
  • Sichuan University
    10
  • Yangzhou University
    10
  • Zhejiang Chinese Medical University
    10
  • Jiaxing University
    9
  • Sheng Jing Hospital
    9
  • Shandong University
    9
  • Jilin University
    8
  • Fudan University
    7