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  1. Article ; Online: Corrigendum to: "Erythropoietin Preconditioning Mobilizes Endothelial Progenitor Cells to Attenuate Nephron-Sparing Surgery-Induced Ischemia-Reperfusion Injury" by Yunpeng Zhu, Kai Zhao, Longxin Wang, Tianze Lu, Changcheng Zhou, Yuzheng Ge, Ran Wu, Ruipeng Jia and Chuanqi Zheng, Transplantation Proceedings 2020;52/10: 2955-2963.

    Zhu, Yunpeng / Zhao, Kai / Lu, Tianze / Wang, Longxin / Zhou, Changcheng / Ge, Yuzheng / Wu, Ran / Jia, Ruipeng / Zheng, Qichuan

    Transplantation proceedings

    2021  Volume 55, Issue 7, Page(s) 1763

    Language English
    Publishing date 2021-10-09
    Publishing country United States
    Document type Published Erratum
    ZDB-ID 82046-5
    ISSN 1873-2623 ; 0041-1345
    ISSN (online) 1873-2623
    ISSN 0041-1345
    DOI 10.1016/j.transproceed.2021.09.005
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    Zs.A 835: Show issues Location:
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  2. Article ; Online: Hepatic encephalopathy and survival after transjugular intrahepatic portosystemic shunt: Do spontaneous portosystemic shunts matter?

    Zhang, Feng / Zhang, Ming / Wang, Lei / Zhuge, Yuzheng

    Journal of hepatology

    2023  

    Language English
    Publishing date 2023-12-26
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 605953-3
    ISSN 1600-0641 ; 0168-8278
    ISSN (online) 1600-0641
    ISSN 0168-8278
    DOI 10.1016/j.jhep.2023.12.014
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    Zs.A 2027: Show issues Location:
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  3. Article: The relationship between mindfulness and suboptimal health status: a chain/serial mediation model.

    Liang, Jingyue / Zhang, Xiaoshuo / Wang, Yuzheng

    Frontiers in psychology

    2024  Volume 15, Page(s) 1354975

    Abstract: Background: Suboptimal health status (SHS) represents a third state between health and disease and often progresses into chronic conditions, negatively impacting an individual's well-being. Studies have shown that mindfulness has a beneficial effect on ... ...

    Abstract Background: Suboptimal health status (SHS) represents a third state between health and disease and often progresses into chronic conditions, negatively impacting an individual's well-being. Studies have shown that mindfulness has a beneficial effect on various SHS symptoms. This study aims to explore the influence of mindfulness on SHS and its underlying mechanisms, with a particular focus on examining the mediating roles of stress and social support.
    Methods: A total of 173 healthy Chinese college or graduate students, with an average age of 21.85 years, participated in this study. Measurements were taken using the Five Factor Mindfulness Questionnaire, the Sub-Health Measurement Scale, the Perceived Stress Scale, and a self-constructed scale that included demographic information. The PROCESS plugin for SPSS was used to assess mediating effects.
    Results: Significant correlations were found among SHS, social support, mindfulness, and perceived stress (|
    Conclusion: The cultivation of trait mindfulness may be advantageous for individuals' sub-health. Perceived social support and perceived stress are important underlying mechanisms contributing to this effect.
    Language English
    Publishing date 2024-03-20
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2024.1354975
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  4. Article ; Online: Land subsidence analysis along high-speed railway based on EEMD-Prophet method.

    Dongwei, Qiu / Yuci, Tong / Yuzheng, Wang / Keliang, Ding / Tiancheng, Liu / Shanshan, Wan

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 732

    Abstract: Environmental changes and ground subsidence along railway lines are serious concerns during high-speed railway operations. It is worth noting that AutoRegressive Integrated Moving Average (ARMA), Long Short-Term Memory (LSTM), and other prediction ... ...

    Abstract Environmental changes and ground subsidence along railway lines are serious concerns during high-speed railway operations. It is worth noting that AutoRegressive Integrated Moving Average (ARMA), Long Short-Term Memory (LSTM), and other prediction methods may present limitations when applied to predict InSAR time series results. To address this issue, this study proposes a prediction method that decomposes the nonlinear settlement time series of feature points obtained through InSAR technology using Ensemble Empirical Mode Decomposition (EEMD). Subsequently, multiple Intrinsic Mode Functions (IMFs) are generated, and each IMF is individually predicted using the Prophet forecasting model. Finally, we employ an equal-weight superimposition method to combine the results, resulting in the prediction of the InSAR settlement time series. The predicted values of each component are subsequently weighted equally and combined to derive the final prediction outcome. This paper selects InSAR monitoring data along a high-speed railway in inland China and uses the proposed method and ARMA and Prophet models to carry out comparative experiments. The experimental results show that compared with the ARMA and Prophet models, the method in this paper improves the root mean square error by 58.01% and 32.3%, and increases the mean absolute error by 62.69% and 33.78%, respectively. The predicted settlement values generated by our method exhibit better agreement with the actual InSAR monitoring values.
    Language English
    Publishing date 2024-01-06
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-51174-9
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  5. Article ; Online: EUS-guided portal vein location before transjugular intrahepatic portosystemic shunt for the treatment of cavernomatous transformation of the portal vein (with video).

    Zhang, Feng / Zhuge, Yuzheng / Wang, Lei

    Gastrointestinal endoscopy

    2023  Volume 99, Issue 2, Page(s) 281–282

    MeSH term(s) Humans ; Abdomen ; Hypertension, Portal ; Portal Vein/diagnostic imaging ; Portal Vein/surgery ; Portasystemic Shunt, Transjugular Intrahepatic ; Prostheses and Implants ; Treatment Outcome
    Language English
    Publishing date 2023-09-23
    Publishing country United States
    Document type Case Reports ; Journal Article ; Video-Audio Media
    ZDB-ID 391583-9
    ISSN 1097-6779 ; 0016-5107
    ISSN (online) 1097-6779
    ISSN 0016-5107
    DOI 10.1016/j.gie.2023.09.022
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  6. Article ; Online: Materiobiomodulated ROS Therapy for De Novo Hair Growth.

    Bai, Long / Wang, Yifei / Wang, Kun / Chen, Xiaoqian / Zhao, Yuzheng / Liu, Changsheng / Qu, Xue

    Advanced materials (Deerfield Beach, Fla.)

    2024  , Page(s) e2311459

    Abstract: Hair loss is characterized by the inability of hair follicles (HFs) to enter the telogen-anagen transition (TAT) and lack of de novo HFs. Current pharmaceutical therapies and surgical modalities have been largely limited to regulating hair regrowth ... ...

    Abstract Hair loss is characterized by the inability of hair follicles (HFs) to enter the telogen-anagen transition (TAT) and lack of de novo HFs. Current pharmaceutical therapies and surgical modalities have been largely limited to regulating hair regrowth efficiently without side effects and lacking treatment compliance. Here, this work proposes a materiobiomodulation therapy (MBMT), wherein polydopamine (PDA) nanoparticles with redox activity can be modulated to have a stoichiometric ROS (H
    Language English
    Publishing date 2024-02-12
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1474949-X
    ISSN 1521-4095 ; 0935-9648
    ISSN (online) 1521-4095
    ISSN 0935-9648
    DOI 10.1002/adma.202311459
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  7. Article ; Online: Altered neural associations with cognitive and emotional functions in cannabis dependence.

    Wang, Xinying / Zhou, Hui / Hu, Yuzheng

    Cerebral cortex (New York, N.Y. : 1991)

    2023  Volume 33, Issue 13, Page(s) 8724–8733

    Abstract: Negative emotional state has been found to correlate with poor cognitive performance in cannabis-dependent (CD) individuals, but not healthy controls (HCs). To examine the neural substrates underlying such unusual emotion-cognition coupling, we analyzed ... ...

    Abstract Negative emotional state has been found to correlate with poor cognitive performance in cannabis-dependent (CD) individuals, but not healthy controls (HCs). To examine the neural substrates underlying such unusual emotion-cognition coupling, we analyzed the behavioral and resting state fMRI data from the Human Connectome Project and found opposite brain-behavior associations in the CD and HC groups: (i) although the cognitive performance was positively correlated with the within-network functional connectivity strength and segregation (i.e. clustering coefficient and local efficiency) of the cognitive network in HCs, these correlations were inversed in CDs; (ii) although the cognitive performance was positively correlated with the within-network Granger effective connectivity strength and integration (i.e. characteristic path length) of the cognitive network in CDs, such associations were not significant in HCs. In addition, we also found that the effective connectivity strength within cognition network mediated the behavioral coupling between emotional state and cognitive performance. These results indicate a disorganization of the cognition network in CDs, and may help improve our understanding of substance use disorder.
    MeSH term(s) Humans ; Marijuana Abuse/diagnostic imaging ; Brain/diagnostic imaging ; Cognition ; Connectome/methods ; Emotions ; Magnetic Resonance Imaging/methods
    Language English
    Publishing date 2023-04-18
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 1077450-6
    ISSN 1460-2199 ; 1047-3211
    ISSN (online) 1460-2199
    ISSN 1047-3211
    DOI 10.1093/cercor/bhad153
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  8. Article ; Online: An efficient method to improve the quality of tetrahedron mesh with MFRC

    Yuzheng Ma / Monan Wang

    Scientific Reports, Vol 11, Iss 1, Pp 1-

    2021  Volume 20

    Abstract: Abstract In this paper, we proposed a novel operation to reconstruction tetrahedrons within a certain region, which we call MFRC (Multi-face reconstruction). During the existing tetrahedral mesh improvement methods, the flip operation is one of the very ... ...

    Abstract Abstract In this paper, we proposed a novel operation to reconstruction tetrahedrons within a certain region, which we call MFRC (Multi-face reconstruction). During the existing tetrahedral mesh improvement methods, the flip operation is one of the very important components. However, due to the limited area affected by the flip, the improvement of the mesh quality by the flip operation is also very limited. The proposed MFRC algorithm solves this problem. MFRC can reconstruct the local mesh in a larger range and can find the optimal tetrahedron division in the target area within acceptable time complexity. Therefore, based on the MFRC algorithm, we combined other operations including smoothing, edge removal, face removal, and vertex insertion/deletion to develop an effective mesh quality improvement method. Numerical experiments of dozens of meshes show that the algorithm can effectively improve the low-quality elements in the tetrahedral mesh, and can effectively reduce the running time, which has important significance for the quality improvement of large-scale mesh.
    Keywords Medicine ; R ; Science ; Q
    Subject code 600
    Language English
    Publishing date 2021-11-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: A novel nomogram predicting early neurological deterioration after intravenous thrombolysis for acute ischemic stroke

    Bang Luo / Mei Yuan / Wending Kuang / Yuzheng Wang / Liucui Chen / Yang Zhang / Gang Chen

    Heliyon, Vol 10, Iss 1, Pp e23341- (2024)

    1481  

    Abstract: Objectives: Intravenous thrombolysis therapy (IVT) with recombinant tissue plasminogen activator has proven to be a beneficial treatment for acute ischemic stroke (AIS) patients when administered within 4.5 h after a stroke. This study aimed to ... ...

    Abstract Objectives: Intravenous thrombolysis therapy (IVT) with recombinant tissue plasminogen activator has proven to be a beneficial treatment for acute ischemic stroke (AIS) patients when administered within 4.5 h after a stroke. This study aimed to investigate an available and inexpensive predictive tool for early neurological deterioration in AIS. Methods: Patients admitted to our department with acute stroke who were given IVT with recombinant tissue plasminogen activator within 4.5 h of stroke onset were included in the study. The NIH stroke scale (NIHSS) was used to assess patients’ neurological state prior to IVT and for 24 h after. Early neurological deterioration was defined as occurring if the NIHSS total score increased by ≥ 4 or the NIHSS individual score increased by ≥ 2 compared to baseline. Patients were randomly assigned to training or validation cohorts. Results: Of the 266 AIS patients receiving IVT who were screened, 217 were deemed eligible for the study. Multivariate logistic regression analysis identified smoking history, NIHSS score, homocysteine level, and neutrophil to lymphocyte ratio as independent factors for predicting early neurological deterioration. ROC analysis was used to assess the quality of the resulting nomogram. The AUC for the training dataset was 0.826 (95 % CI, 0.719–0.932), and for the validation dataset was 0.887 (95 % CI, 0.763–1.000). Conclusion: The robustness of this nomogram suggests that it may be a reliable tool for evaluating the progression of AIS after IVT.
    Keywords Early neurological deterioration ; Acute ischemic stroke ; Intravenous thrombolysis ; Nomogram ; Risk prediction ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
    Subject code 616
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Land subsidence analysis along high-speed railway based on EEMD-Prophet method

    Qiu Dongwei / Tong Yuci / Wang Yuzheng / Ding Keliang / Liu Tiancheng / Wan Shanshan

    Scientific Reports, Vol 14, Iss 1, Pp 1-

    2024  Volume 17

    Abstract: Abstract Environmental changes and ground subsidence along railway lines are serious concerns during high-speed railway operations. It is worth noting that AutoRegressive Integrated Moving Average (ARMA), Long Short-Term Memory (LSTM), and other ... ...

    Abstract Abstract Environmental changes and ground subsidence along railway lines are serious concerns during high-speed railway operations. It is worth noting that AutoRegressive Integrated Moving Average (ARMA), Long Short-Term Memory (LSTM), and other prediction methods may present limitations when applied to predict InSAR time series results. To address this issue, this study proposes a prediction method that decomposes the nonlinear settlement time series of feature points obtained through InSAR technology using Ensemble Empirical Mode Decomposition (EEMD). Subsequently, multiple Intrinsic Mode Functions (IMFs) are generated, and each IMF is individually predicted using the Prophet forecasting model. Finally, we employ an equal-weight superimposition method to combine the results, resulting in the prediction of the InSAR settlement time series. The predicted values of each component are subsequently weighted equally and combined to derive the final prediction outcome. This paper selects InSAR monitoring data along a high-speed railway in inland China and uses the proposed method and ARMA and Prophet models to carry out comparative experiments. The experimental results show that compared with the ARMA and Prophet models, the method in this paper improves the root mean square error by 58.01% and 32.3%, and increases the mean absolute error by 62.69% and 33.78%, respectively. The predicted settlement values generated by our method exhibit better agreement with the actual InSAR monitoring values.
    Keywords Medicine ; R ; Science ; Q
    Subject code 518
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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