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310 results on '"Li, Xinqing"'

52. sST2 and Big ET-1 as Alternatives of Multi-Biomarkers Strategies for Prognosis Evaluation in Patients Hospitalized with Heart Failure

Author

Chen, Yuyi, primary, Zhao, Xuemei, additional, Liang, Lin, additional, Tian, Pengchao, additional, Feng, Jiayu, additional, Huang, Liyan, additional, Huang, Boping, additional, Wu, Yihang, additional, Wang, Jing, additional, Guan, Jingyuan, additional, Li, Xinqing, additional, Zhang, Jian, additional, and Zhang, Yuhui, additional

Published
2023
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56. Improved Prognostic Performance of Right Atrial Pressure-Corrected Cardiac Power Output in Pulmonary Hypertension and Heart Failure with Preserved Ejection Fraction

Author

Wu, Yihang, primary, Tian, Pengchao, additional, Liang, Lin, additional, Chen, Yuyi, additional, Feng, Jiayu, additional, Huang, Boping, additional, Huang, Liyan, additional, Zhao, Xuemei, additional, Wang, Jing, additional, Guan, Jingyuan, additional, Li, Xinqing, additional, Zhang, Jian, additional, and Zhang, Yuhui, additional

Published
2023
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58. Combined use of right ventricular coupling and pulmonary arterial elastance as a comprehensive stratification approach for right ventricular function

Author

Wu, Yihang, primary, Tian, Pengchao, additional, Liang, Lin, additional, Chen, Yuyi, additional, Feng, Jiayu, additional, Huang, Boping, additional, Huang, Liyan, additional, Zhao, Xuemei, additional, Wang, Jing, additional, Guan, Jingyuan, additional, Li, Xinqing, additional, Zhang, Yuhui, additional, and Zhang, Jian, additional

Published
2023
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60. LiDAR-Camera Fusion in Perspective View for 3D Object Detection in Surface Mine

Author

Ai, Yunfeng, Yang, Xue, Song, Ruiqi, Cui, Chenglin, Li, Xinqing, Cheng, Qi, Tian, Bin, and Chen, Long

Abstract

LiDAR-Camera fusion can effectively provide the complementary geometric and appearance information for 3D object detection task of autonomous driving system. However, current dominant methods designed for urban scenes often fuse multi-modal information into a Bird's-Eye-View (BEV) feature representation and have a relatively short perception range, which limits their application in surface mine. To achieve long-range perception in surface mine, we utilize a solid-state LiDAR (i.e. Livox Horizon) that has a large perception range (over 200 meters). Accordingly, we propose PVFusion, a novel 3D object detection method that only fuses LiDAR and camera information in Perspective View (PV). Specifically, we first generate the multi-channel depth map via point cloud projection and Depth Map Densification (DMD). Then, we extract visual-depth features and local geometry features from depth-enhanced camera image and point cloud respectively. To better fuse multi-modal information, we propose an Attentional Feature Fusion (AFF) module to dynamically fuse visual-depth features and local geometry features into fused PV features. Moreover, we design a three-branch detection head that leverages a Depth Decoupling Strategy (DDS) to improve the depth estimation for distant objects. We conduct extensive experiments on our surface mine dataset and verify the effectiveness of the proposed PVFusion.

Published
2024
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61. sST2 and Big ET-1 as Alternatives of Multi-Biomarkers Strategies for Prognosis Evaluation in Patients Hospitalized with Heart Failure

Author

Chen,Yuyi, Zhao,Xuemei, Liang,Lin, Tian,Pengchao, Feng,Jiayu, Huang,Liyan, Huang,Boping, Wu,Yihang, Wang,Jing, Guan,Jingyuan, Li,Xinqing, Zhang,Jian, Zhang,Yuhui, Chen,Yuyi, Zhao,Xuemei, Liang,Lin, Tian,Pengchao, Feng,Jiayu, Huang,Liyan, Huang,Boping, Wu,Yihang, Wang,Jing, Guan,Jingyuan, Li,Xinqing, Zhang,Jian, and Zhang,Yuhui

Abstract

Yuyi Chen,1 Xuemei Zhao,1 Lin Liang,1 Pengchao Tian,1 Jiayu Feng,1 Liyan Huang,1 Boping Huang,1 Yihang Wu,1 Jing Wang,1 Jingyuan Guan,1 Xinqing Li,1 Jian Zhang,1,2 Yuhui Zhang1 1Heart Failure Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of China; 2Key Laboratory of Clinical Research for Cardiovascular Medications, National Health Committee, Beijing, People’s Republic of ChinaCorrespondence: Yuhui Zhang, Heart Failure Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of China, Tel +8615901314243, Email yuhuizhangjoy@163.com Jian Zhang, Heart Failure Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, People’s Republic of China, Tel +8613911102015, Email fwzhangjian62@126.comObjective: To identify biomarkers with independent prognostic value and investigate the prognostic value of multiple biomarkers in combination in patients hospitalized with heart failure.Methods: A total of 884 consecutive patients hospitalized with heart failure from 2015 to 2017 were enrolled. Twelve biomarkers were measured on admission, and the relationships between biomarkers and outcomes were assessed.Results: During the median follow-up of 913 days, 291 patients (32.9%) suffered from primary endpoint events. Soluble suppression of tumorigenicity-2 (sST2) (per log [unit] increase, adjusted HR [95% CI]: 1.39 [1.13,1.72], P = 0.002) and big endothelin-1 (big ET-1) (per log [unit] increase, adjusted HR [95% CI]: 1.56 [1.23,1.97], P < 0.001) remained independent predictors of primary endpoint event after adjust

Published
2023

62. A systematic review and meta-analysis on the relative and attributable risk of Helicobacter pylori infection and cardia and non-cardia gastric cancer.

Author

Gu, Jianhua, He, Feifan, Clifford, Gary M, Li, Minjuan, Fan, Zhiyuan, Li, Xinqing, Wang, Shaoming, and Wei, Wenqiang

Abstract

This study aimed to update the association between Helicobacter pylori (H. pylori) infection and gastric cancer (GC). We searched PubMed, Embase, and Cochrane Library from 1990 to December 2021 to identify prospective studies. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were summarized to validate the relationship between H. pylori infection and GC. Including 27 studies, findings indicated a strong link between H. pylori and non-cardia gastric cancer (NCGC) in both Europe/North America (OR=5.37, 95%CI:4.39–6.57) and Asia (OR = 2.50, 95%CI:1.89–3.32), and a positive association with cardia gastric cancer (CGC) in Asia (OR = 1.74, 95%CI:1.38–2.19), but an inverse association in European/American populations (OR = 0.64, 95%CI: 0.51 to 0.79). Furthermore, the strength of association was greater in studies that detected H. pylori by immunoblotting versus ELISA, and also in studies testing for H. pylori detection further back in time prior to cancer diagnosis (Ptrend<0.05). Approximately 79% of NCGC in Asia and 87% in Europe/North America, along with 62% of CGC in Asia, could be attributable to H. pylori infection. The meta-analysis supports the significant attributable risk of H. pylori infection for GC and underscores the potential impact of targeting H. pylori in GC prevention programs. CRD42021274120 [ABSTRACT FROM AUTHOR]

Published
2023
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71. sj-docx-1-taj-10.1177_20406223231171554 – Supplemental material for Afterload-related cardiac performance is a powerful hemodynamic predictor of mortality in patients with chronic heart failure

Author

Wu, Yihang, Tian, Pengchao, Liang, Lin, Chen, Yuyi, Feng, Jiayu, Huang, Boping, Huang, Liyan, Zhao, Xuemei, Wang, Jing, Guan, Jingyuan, Li, Xinqing, Zhang, Yuhui, and Zhang, Jian

Subjects
FOS: Psychology, 110203 Respiratory Diseases, FOS: Clinical medicine, Cardiology, 170199 Psychology not elsewhere classified, 111702 Aged Health Care, FOS: Health sciences, 110319 Psychiatry (incl. Psychotherapy), 110306 Endocrinology, 110308 Geriatrics and Gerontology, 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified, 110904 Neurology and Neuromuscular Diseases
Abstract

Supplemental material, sj-docx-1-taj-10.1177_20406223231171554 for Afterload-related cardiac performance is a powerful hemodynamic predictor of mortality in patients with chronic heart failure by Yihang Wu, Pengchao Tian, Lin Liang, Yuyi Chen, Jiayu Feng, Boping Huang, Liyan Huang, Xuemei Zhao, Jing Wang, Jingyuan Guan, Xinqing Li, Yuhui Zhang and Jian Zhang in Therapeutic Advances in Chronic Disease

Published
2023
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83. Adaptive nonlinear disturbance observer-based control for stochastic systems with multiple heterogeneous disturbances

Author

Huifeng Zhang, Li Xinqing, Xinjiang Wei, Jian Han, Xiuhua Liu, and Xin Hu

Subjects
Class (computer programming), Nonlinear system, Disturbance (geology), Control theory, Computer science, Disturbance observer, Control (linguistics), Instrumentation
Abstract

The problem of anti-disturbance control is studied for a class of stochastic systems with multiple heterogeneous disturbances, which include three kinds of disturbance. One is the non-harmonic disturbance coupled with system state and control input. The other one is an unexpected nonlinear signal described as a nonlinear function. The third one is white noise. An adaptive nonlinear disturbance observer (ANDO) is constructed to estimate non-harmonic disturbance. Based on which, a new adaptive nonlinear disturbance observer-based control (ANDOBC) strategy is developed such that the composite system is asymptotically bounded in mean square. Simulation results are given to show its effectiveness of the proposed method.

Published
2020
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88. Discovering and Visualizing Tactics in a Table Tennis Game Based on Subgroup Discovery

Author

Duluard, Pierre, Li, Xinqing, Plantevit, Marc, Robardet, Céline, Vuillemot, Romain, and Vuillemot, Romain

Subjects
Data Mining, Sports Data Visualization, [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC], Table Tennis
Abstract

We report preliminary results to automatically identify effective tactics of elite table tennis players. We define these tactics as subgroups of winning strokes that table tennis experts seek to identify in order to train players and adapt their strategy during play. We first report how we identify and classify these subgroups using the weighted relative accuracy measure (WRAcc). We then present the subgroups using visualizations to communicate these results to our expert. These exchanges allow rapid feedback on our results and makes it possible further improvements to our discoveries.

Published
2022

89. Association between CDH1 methylation and esophageal cancer risk: a meta-analysis and bioinformatics study

Author

Fan, Zhiyuan, Chen, Ru, Li, Minjuan, Gu, Jianhua, Li, Xinqing, and Wei, Wenqiang

Subjects
Genetics, Molecular Medicine, Molecular Biology, Pathology and Forensic Medicine
Abstract

The aim is to evaluate the association of CDH1 methylation with esophageal cancer (EC) risk. The PubMed, Embase, Web of Science, and Cochrane Library databases were systematically searched to identify relevant articles. Pooled odds ratios (ORs) with 95% confidence interval (CI) were estimated using the fixed- or random-effects models. The pooled sensitivity and specificity were calculated to assess the diagnostic value of CDH1 methylation for EC. The results of the meta-analysis were validated using The Cancer Genome Atlas and Gene Expression Omnibus databases. Thirteen studies consisting of 1,633 samples were included. A high CDH1 methylation was significantly associated with an increased risk of EC (OR = 10.40, 95% CI = 6.29–17.18). Furthermore, CDH1 methylation status was related to tumor status, lymph node status, and metastasis. For the diagnosis of EC, the pooled sensitivity and specificity of CDH1 methylation were 0.57 (95% CI = 0.39–0.74) and 0.89 (95% CI = 0.81–0.94), respectively. Bioinformatics analysis showed that CDH1 methylation occurred more frequently in EC tissues than in normal controls, in good agreement with the results of the meta-analysis. A significant association was found between CDH1 methylation and EC risk. We therefore suggest that CDH1 methylation can serve as a promising diagnostic marker for EC.

Published
2022
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94. Feasibility of using P16 methylation as a cytologic marker for esophageal squamous cell carcinoma screening: A pilot study.

Author

Fan, Zhiyuan, Qin, Yu, Zhou, Jing, Chen, Ru, Gu, Jianhua, Li, Minjuan, Zhou, Jiachen, Li, Xinqing, Lin, Dongmei, Wang, Jinwu, Deng, Dajun, and Wei, Wenqiang

Subjects
SQUAMOUS cell carcinoma, ESOPHAGEAL cancer, METHYLATION, P16 gene, RECEIVER operating characteristic curves, PILOT projects
Abstract

Background: Early diagnosis and treatment of esophageal squamous cell dysplasia (ESCdys) and esophageal squamous cell carcinoma (ESCC) could significantly reduce the incidence and mortality of ESCC. This pilot study aimed to investigate whether P16/CDKN2A methylation could serve as a cytologic biomarker for early detection of ESCdys and ESCC. Methods: Paired esophageal biopsy and cytology specimens (exfoliated cells) were obtained from subjects at different stages of ESCC development. The methylation status of P16 gene in these two specimen types was determined using a 115‐bp MethyLight assay. Categorical data were compared by the Chi‐square test. Logistic regression was performed to assess adjusted odds ratios of P16 methylation associated with ESCC and ESCdys. Prediction models for identifying individuals at risk of ESCC and high‐grade ESCdys (high‐grade intraepithelial neoplasia, HGIN) were developed by multivariable logistic regression. Diagnostic performance was evaluated using receiver operating characteristic (ROC) analysis. Internal validation of the prediction models was performed using the 1000‐bootstrap resample. Results: A total of 105 subjects with diagnoses ranging from normal mucosa through ESCC were included in this study. An increase in P16 methylation frequency was observed with increasing severity of esophageal lesions (p for trend <0.001). In the adjusted logistic regression models, P16 methylation in cytology specimens was positively associated with ESCC and ESCdys risk, whereas P16 methylation in biopsy specimens was only associated with a higher risk of developing ESCC. The predictive capacity of base model I (AUC, 0.816) for ESCC and HGIN was significantly increased by adding P16 methylation in cytology specimens (model III; AUC, 0.882; p = 0.043), but not P16 methylation in biopsy specimens (model II; AUC, 0.850; p = 0.225). Bootstrap validation showed optimism‐corrected AUC of 0.789 for model I, 0.822 for model II, and 0.854 for model III. Conclusion: P16 methylation as a cytologic marker was associated with the ESCC development and has the potential for application in minimally invasive ESCC screening. [ABSTRACT FROM AUTHOR]

Published
2022
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96. A prediction and imputation method for marine animal movement data

Author

Li, Xinqing, primary, Sindihebura, Tanguy Tresor, additional, Zhou, Lei, additional, Duarte, Carlos M., additional, Costa, Daniel P., additional, Hindell, Mark A., additional, McMahon, Clive, additional, Muelbert, Mônica M.C., additional, Zhang, Xiangliang, additional, and Peng, Chengbin, additional

Published
2021
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98. Surveillance of premalignant gastric cardia lesions: A population‐based prospective cohort study in China

Author

Gu, Jianhua, primary, Xie, Shuanghua, additional, Wang, Shaoming, additional, Xue, Liyan, additional, Zhou, Jiachen, additional, Li, Minjuan, additional, Fan, Zhiyuan, additional, Chen, Ru, additional, Middleton, Daniel R. S., additional, Hao, Changqing, additional, Wang, Jinwu, additional, Li, Bianyun, additional, Li, Xinqing, additional, and Wei, Wenqiang, additional

Published
2021
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