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  1. Article ; Online: Predicting a decrease in left atrial appendage flow velocity using left atrial diameter and CHA

    Wang, Guangyu / Li, Guangyu / Hu, Feng / Zang, Minhua / Pu, Jun

    BMC cardiovascular disorders

    2023  Volume 23, Issue 1, Page(s) 180

    Abstract: Background: Left atrial (LA) appendage flow velocity (LAAFV) is a classic but invasive predictor of thromboembolic events in patients with atrial fibrillation (AF). We aimed to explore the usefulness of LA diameter (LAD) combined with CHA: Methods: ... ...

    Abstract Background: Left atrial (LA) appendage flow velocity (LAAFV) is a classic but invasive predictor of thromboembolic events in patients with atrial fibrillation (AF). We aimed to explore the usefulness of LA diameter (LAD) combined with CHA
    Methods: In total, 716 consecutive NVAF patients who underwent transesophageal echocardiography were divided into the decreased LAAFV (< 0.4 m/s) and preserved LAAFV (≥ 0.4 m/s) groups.
    Results: The decreased LAAFV group had a larger LAD and a higher CHA
    Conclusion: Enlarged LAD was independent risk factor for a decrease in LAAFV among NVAF patients. LAD combined with CHA
    MeSH term(s) Humans ; Atrial Fibrillation/complications ; Atrial Fibrillation/diagnosis ; Atrial Appendage/diagnostic imaging ; Risk Factors ; Thromboembolism/diagnosis ; Thromboembolism/etiology ; Thromboembolism/prevention & control ; Echocardiography, Transesophageal/adverse effects ; Risk Assessment
    Language English
    Publishing date 2023-04-03
    Publishing country England
    Document type Journal Article
    ZDB-ID 2059859-2
    ISSN 1471-2261 ; 1471-2261
    ISSN (online) 1471-2261
    ISSN 1471-2261
    DOI 10.1186/s12872-022-03033-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book ; Online: AnisoGNN

    Hu, Guangyu / Latypov, Marat I.

    graph neural networks generalizing to anisotropic properties of polycrystals

    2024  

    Abstract: We present AnisoGNNs -- graph neural networks (GNNs) that generalize predictions of anisotropic properties of polycrystals in arbitrary testing directions without the need in excessive training data. To this end, we develop GNNs with a physics-inspired ... ...

    Abstract We present AnisoGNNs -- graph neural networks (GNNs) that generalize predictions of anisotropic properties of polycrystals in arbitrary testing directions without the need in excessive training data. To this end, we develop GNNs with a physics-inspired combination of node attributes and aggregation function. We demonstrate the excellent generalization capabilities of AnisoGNNs in predicting anisotropic elastic and inelastic properties of two alloys.

    Comment: 25 pages, 7 figures
    Keywords Condensed Matter - Materials Science
    Publishing date 2024-01-29
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Acquired tonsillar herniation related to spontaneous intracranial hypotension: case reports.

    Chen, Lili / Wu, Haijian / Hu, Xingyue / Ying, Guangyu

    Frontiers in neurology

    2024  Volume 15, Page(s) 1309718

    Abstract: Background: Acquired prolapse of the cerebellar tonsils in spontaneous intracranial hypotension (SIH) patients is rare. This study aims to evaluate neuroimaging changes of acquired prolapse of the cerebellar tonsils below the foramen magnum in SIH ... ...

    Abstract Background: Acquired prolapse of the cerebellar tonsils in spontaneous intracranial hypotension (SIH) patients is rare. This study aims to evaluate neuroimaging changes of acquired prolapse of the cerebellar tonsils below the foramen magnum in SIH patients due to spontaneous spinal cerebrospinal fluid leakage, which was treated by targeted epidural blood patches (EBP).
    Methods: We retrospectively reviewed clinical and neuroimaging characteristics of 5 cases of SIH with acquired prolapse of the cerebellar tonsils that received targeted EBP in our institution from January 2013 to December 2016.
    Results: Of these SIH patients, all of them suffered from an orthostatic headache. Initial cranial MRI demonstrated descent of the cerebellar tonsils ≥5 mm. Intrathecal gadolinium-enhanced spinal MR myelography and/or spinal MR hydrography were performed to evaluate the level of spinal cerebrospinal fluid leakage. Symptoms were alleviated in all 5 patients after two (
    Conclusion: Acquired tonsillar herniation can occur in patients with SIH and spinal cerebrospinal fluid leakage. Symptoms of these patients may be resolved and radiologic findings may be reversed after EBP treatment.
    Language English
    Publishing date 2024-01-24
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2564214-5
    ISSN 1664-2295
    ISSN 1664-2295
    DOI 10.3389/fneur.2024.1309718
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  4. Article ; Online: Editorial: Risk communication and community engagement during public health emergencies.

    Hu, Guangyu / Chen, Zhuo / Wang, Jing / Huang, Suli

    Frontiers in public health

    2023  Volume 11, Page(s) 1164973

    MeSH term(s) Humans ; Public Health ; Emergencies ; Communication ; COVID-19
    Language English
    Publishing date 2023-03-23
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2711781-9
    ISSN 2296-2565 ; 2296-2565
    ISSN (online) 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2023.1164973
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Deep learning-based coronary artery calcium score to predict coronary artery disease in type 2 diabetes mellitus.

    Hu, Jingcheng / Hao, Guangyu / Xu, Jialiang / Wang, Ximing / Chen, Meng

    Heliyon

    2024  Volume 10, Issue 6, Page(s) e27937

    Abstract: Background: Coronary artery disease (CAD) in type 2 diabetes mellitus (T2DM) patients often presents diffuse lesions, with extensive calcification, and it is time-consuming to measure coronary artery calcium score (CACS).: Objectives: To explore the ... ...

    Abstract Background: Coronary artery disease (CAD) in type 2 diabetes mellitus (T2DM) patients often presents diffuse lesions, with extensive calcification, and it is time-consuming to measure coronary artery calcium score (CACS).
    Objectives: To explore the predictive ability of deep learning (DL)-based CACS for obstructive CAD and hemodynamically significant CAD in T2DM.
    Methods: 469 T2DM patients suspected of CAD who accepted CACS scan and coronary CT angiography between January 2013 and December 2020 were enrolled. Obstructive CAD was defined as diameter stenosis ≥50%. Hemodynamically significant CAD was defined as CT-derived fractional flow reserve ≤0.8. CACS was calculated with a fully automated method based on DL algorithm. Logistic regression was applied to determine the independent predictors. The predictive performance was evaluated with area under receiver operating characteristic curve (AUC).
    Results: DL-CACS (adjusted odds ratio (OR): 1.005; 95% CI: 1.003-1.006;
    Conclusions: DL-CACS, with less time-consuming, can accurately and effectively predict obstructive CAD and hemodynamically significant CAD in T2DM.
    Language English
    Publishing date 2024-03-10
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e27937
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  6. Article ; Online: NiCo

    Qian, Aniu / Cui, Miaomiao / Sun, Yue / Wang, Guangyu / Hao, Yuehui / Yang, Chengli / Shi, Hu

    Small (Weinheim an der Bergstrasse, Germany)

    2024  , Page(s) e2310398

    Abstract: Flexible magnesium (Mg)-air batteries provide an ideal platform for developing efficient energy-storage devices toward wearable electronics and bio-integrated power sources. However, high-capacity bio-adaptable Mg-air batteries still face the challenges ... ...

    Abstract Flexible magnesium (Mg)-air batteries provide an ideal platform for developing efficient energy-storage devices toward wearable electronics and bio-integrated power sources. However, high-capacity bio-adaptable Mg-air batteries still face the challenges in low discharge potential and inefficient oxygen electrodes, with poor kinetics property toward oxygen reduction reaction (ORR). Herein, spinel nickel cobalt oxides (NiCo
    Language English
    Publishing date 2024-03-10
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2168935-0
    ISSN 1613-6829 ; 1613-6810
    ISSN (online) 1613-6829
    ISSN 1613-6810
    DOI 10.1002/smll.202310398
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  7. Article ; Online: A new intrusion detection model for industrial control system based on hierarchical interval-based BRB

    Guangyu Qian / Laihong Hu / Wei Zhang / Wei He

    Intelligent Systems with Applications, Vol 18, Iss , Pp 200239- (2023)

    2023  

    Abstract: Because the flow data generated by industrial control networks have the characteristics of large quantity, large feature dimension, and obvious class imbalance, the traditional industrial control intrusion detection model has difficulty accurately ... ...

    Abstract Because the flow data generated by industrial control networks have the characteristics of large quantity, large feature dimension, and obvious class imbalance, the traditional industrial control intrusion detection model has difficulty accurately identifying attack flow. To solve the above problems, a hierarchical interval-based belief rule base (HIBRB) model has been proposed in this paper, which can improve the detection rate of attack flow while maintaining high accuracy. First, interval-based BRB (IBRB) model is used as the basic model to solve the problem that too many antecedent attributes will lead to combinatorial explosion. By changing reference points into reference intervals and conjunctive to disjunctive in IF-THEN rules, the number of rules can be effectively reduced, and expert knowledge can be involved. Second, to solve the problem of class imbalance, a two-layer BRB structure is used for modeling. In the first layer, a main model (main-IBRB) is used for multiclassification to determine the possible class of samples. In the second layer, the sub model (sub-IBRB) is used for binary classification to obtain the final class. To improve the performance of the whole model, XGBoost is used to select the optimal feature subset for main-IBRB and each sub-IBRB according to the different classification targets. Through two-layer BRB structure and XGBoost feature selection, HIBRB can effectively alleviate the class imbalance problem and improve the detection rate of attack flow. Finally, the intrusion detection model is established by using the data set of the natural gas pipeline control system, and the validity of this model is verified.
    Keywords Intrusion detection ; Belief rule-based ; Class imbalance ; Classification problem ; XGBoost ; Cybernetics ; Q300-390 ; Electronic computers. Computer science ; QA75.5-76.95
    Subject code 004 ; 006
    Language English
    Publishing date 2023-05-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: The Impact of General Manager’s Responsible Leadership and Executive Compensation Incentive on Enterprise ESG Performance

    Xiaofang Chen / Yilei Li / Yu Hu / Guangyu Yu

    Sustainability, Vol 15, Iss 11883, p

    2023  Volume 11883

    Abstract: This paper takes 101 enterprises in high-tech industries as research samples to investigate the impact of a general manager’s responsible leadership on enterprise ESG performance. The results showed that (1) a general manager’s responsible leadership can ...

    Abstract This paper takes 101 enterprises in high-tech industries as research samples to investigate the impact of a general manager’s responsible leadership on enterprise ESG performance. The results showed that (1) a general manager’s responsible leadership can promote enterprise ESG performance, and (2) organizational resilience has a mediating effect between general manager responsible leadership and enterprise ESG performance. These conclusions were still robust after a series of validity tests. Further analysis showed that a monetary compensation incentive for senior executives positively regulates the indirect effect of a general manager’s responsible leadership on enterprise ESG performance through organizational resilience; that is, when monetary incentive for senior executives is high, the positive impact of a general manager’s responsible leadership on enterprise ESG performance through organizational resilience is strong. However, the influence of executive equity-based compensation incentive on their relationship is not obvious. The conclusions of this study provide theoretical and practical enlightenment for improving enterprise ESG performance, enrich the research on the intermediary mechanism of organizational resilience on responsible leadership and enterprise ESG performance, and provide intervention and decision-making basis for enterprises, regulators, and other relevant departments. The limitations of this study pave the way for further research directions, incorporating equity-based compensation incentive on promoting responsible leadership to achieve high ESG performance, and allowing for a better evaluation assessment.
    Keywords general manager responsible leadership ; executive compensation incentive ; enterprise ESG performance ; organizational resilience ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 650
    Language English
    Publishing date 2023-08-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
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  9. Article: Experimental Study on the Compatibility of PD Flexible UHF Antenna Sensor Substrate with SF6/N2.

    Hu, Xukun / Zhang, Guozhi / Deng, Guangyu / Li, Xuyu

    Micromachines

    2023  Volume 14, Issue 8

    Abstract: The use of flexible, built-in, ultra-high-frequency (UHF) antenna sensors is an effective method to solve the weak high-frequency electromagnetic wave signal sensing of partial discharge (PD) inside gas-insulated switchgears (GISs), and the compatibility ...

    Abstract The use of flexible, built-in, ultra-high-frequency (UHF) antenna sensors is an effective method to solve the weak high-frequency electromagnetic wave signal sensing of partial discharge (PD) inside gas-insulated switchgears (GISs), and the compatibility of flexible UHF antenna sensor substrate materials and SF6/N2 mixtures is the key to the realization of a flexible UHF antenna sensor inside a GIS. Based on this, this paper builds an experimental platform for the compatibility of a 30% SF6/70% N2 gas mixture and a PD flexible UHF antenna sensor substrate and conducts compatibility experiments between the 30% SF6/70% N2 gas mixture and PD flexible UHF antenna sensor substrate under different temperatures in combination with the actual operating temperature range of the GIS. In this article, a Fourier transform infrared spectrometer, scanning electron microscope and X-ray photoelectron spectrometer were used to test and analyze the gas composition, the surface morphology and the elemental change in the PD flexible UHF antenna sensor substrate, respectively. PET material will be slightly oxidized under the environment of a 30% SF6/70% N2 gas mixture at 110 °C, PI material will generate metal fluoride under the environment of a 30% SF6/70% N2 gas mixture and only PDMS material will remain stable under the environment of a 30% SF6/70% N2 gas mixture; therefore, it is appropriate to use PDMS substrate in the development of flexible UHF antenna sensors.
    Language English
    Publishing date 2023-07-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2620864-7
    ISSN 2072-666X
    ISSN 2072-666X
    DOI 10.3390/mi14081516
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  10. Article ; Online: Case-mix adjustment of patient-reported experience measures in National Regional Center for Pediatric.

    Pei, Chenyang / Han, Xueyan / Liu, Qiannan / Hu, Guangyu

    Pediatric research

    2023  Volume 94, Issue 4, Page(s) 1562–1569

    Abstract: Background: The aim of the study was to identify case-mix adjusters for the Chinese version of the Child Hospital Consumer Assessment of Healthcare Providers and Systems (Child-HCAHPS) and assess the impact of case-mix adjustment on patient experience ... ...

    Abstract Background: The aim of the study was to identify case-mix adjusters for the Chinese version of the Child Hospital Consumer Assessment of Healthcare Providers and Systems (Child-HCAHPS) and assess the impact of case-mix adjustment on patient experience measures in China.
    Methods: This study analyzed data collected from six National Regional Center for Pediatric across China retrospectively. Participants were children aged ≤17 years and their guardians who completed the survey. The Chinese Child-HCAHPS was used to measure pediatric inpatient care experience. Candidate case-mix adjusters were assessed using a summary measure of explanatory power. Changes in scores and rankings of the six centers were quantified to assess the impact of adjustment.
    Results: A total of 2708 respondents completed the survey from January to March 2021, with a response rate of 7-15%. The child's global health status and the respondent being the child's mother were identified as case-mix adjusters, and case-mix adjustment models for 18 patient experience items were constructed. Kendall's τ correlation of hospital rankings before and after adjustment ranged from 0.73 to 1.00.
    Conclusions: Although the impact of case-mix adjustment may appear modest in our sample, it demonstrated the feasibility, necessity, and methodology for further development of case-mix adjustment models in pediatric healthcare facilities in China.
    Impact: Case-mix adjustment models adjust for factors that are unamendable by healthcare providers that may affect patient experience ratings, thereby improving the comparability of institutional-level ratings. Standardized case-mix adjustment protocols for quality measures need to be modified in different settings. This is the first study to identify adjustment variables and the possible impact of case-mix adjustment on pediatric inpatients' experience measures in a Chinese population. This study provided evidence on the feasibility and necessity for further development of case-mix adjustment models for pediatric healthcare facilities in China.
    MeSH term(s) Humans ; Child ; Risk Adjustment ; Retrospective Studies ; Patient Satisfaction ; Surveys and Questionnaires ; Patient Reported Outcome Measures
    Language English
    Publishing date 2023-01-23
    Publishing country United States
    Document type Journal Article
    ZDB-ID 4411-8
    ISSN 1530-0447 ; 0031-3998
    ISSN (online) 1530-0447
    ISSN 0031-3998
    DOI 10.1038/s41390-023-02488-3
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