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  1. Article ; Online: Medical errors, affected sites, and adverse consequences among patients in the orthopaedic department: Does age matter?

    Liu, Paicheng / Cheng, Jianxin / Yang, Yuxuan / Zhu, Haipeng

    Frontiers in public health

    2024  Volume 12, Page(s) 1306215

    Abstract: Background: Orthopaedics have become the focus of research on patient safety due to the high incidence of medical errors. Previous studies were based on all orthopaedic patients and rarely conducted empirical analyses from the perspective of age. This ... ...

    Abstract Background: Orthopaedics have become the focus of research on patient safety due to the high incidence of medical errors. Previous studies were based on all orthopaedic patients and rarely conducted empirical analyses from the perspective of age. This study aimed to fill the academic gap in the age variable by comparing medical errors, affected sites, and adverse consequences in orthopaedic patients.
    Methods: This retrospective study included 329 litigation claims against orthopaedists using data from China Judgments Online. First, we performed computer crawling and screened 5,237 litigation documents using keywords, including medical errors. Second, 2,536 samples were retained through systematic random sampling, and 549 irrelevant cases were deleted after manual reading. Finally, three clinicians from different medical departments selected 329 incidents related to orthopaedics for further analysis, according to the description of the lawsuits. Three other professional orthopaedists evaluated the patients' ages, affected sites of medical errors, and adverse consequences.
    Results: The greatest number of medical errors was observed in the joints (30.43%) for all orthopaedic patients. However, adult patients (aged 18-60 years) were most susceptible to errors in the extremities (30.42%). A higher rate of complications was associated with a higher rate of morbidity/mortality for the corresponding patients. Medical errors correlated with complications occurred in the following sites: joints (15.38%), extremities (12.50%), spine (16.95%), multiple sites (15.38%), and hands and feet (14.81%). In addition to surgical errors, over 10% of all orthopaedic patients experienced missed diagnoses. The incidence of insufficient adherence to informed consent obligations was 13.5% among adult patients and was much higher in paediatric and older adults patients. When orthopaedic patients suffered from medical technical errors, iatrogenic mortality/morbidity would decrease by 0.3% for one unit increase in age.
    Conclusion: Dividing patients into different ages demonstrated diverse results in terms of medical errors and affected sites. Negligence in diagnosis and examination can be fatal factors that endanger safety, and complications may cause morbidity/mortality. When patients suffered from technical errors, age is inversely proportional to mortality/morbidity. Special attention needs to be paid to technical errors in the younger older adults population (60-64 years old), which has inspired implications in promoting aging and public health.
    MeSH term(s) Humans ; Child ; Aged ; Middle Aged ; Orthopedics ; Retrospective Studies ; Medical Errors ; Malpractice ; Aging
    Language English
    Publishing date 2024-02-21
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2711781-9
    ISSN 2296-2565 ; 2296-2565
    ISSN (online) 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2024.1306215
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: In Situ Nano-SiO

    Shi, Luwei / Zhang, Longxing / Yang, Yanping / Zhang, Haipeng / Yao, Ruijie / Yuan, Caoquan / Cheng, Shaobo

    Nanomaterials (Basel, Switzerland)

    2023  Volume 13, Issue 7

    Abstract: Polyethylene oxide (PEO)-based composite polymer electrolytes (CPEs) containing in situ ... ...

    Abstract Polyethylene oxide (PEO)-based composite polymer electrolytes (CPEs) containing in situ SiO
    Language English
    Publishing date 2023-04-06
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662255-5
    ISSN 2079-4991
    ISSN 2079-4991
    DOI 10.3390/nano13071294
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Water pressure method combined with magnifying endoscopy for esophageal endoscopic submucosal dissection.

    Dong, Tao / Jing, Lin / Yang, Cheng / Gu, Wenxia / Si, Haipeng / Xiao, Jun

    Revista espanola de enfermedades digestivas

    2023  Volume 115, Issue 10, Page(s) 591–592

    Abstract: Poor visual field and limited submucosal space could obstruct endoscopic submucosal dissection (ESD) and increase the risk of complications. In this manuscript, we presented ESD assisted by water pressure method and magnifying endoscopy for a difficult ... ...

    Abstract Poor visual field and limited submucosal space could obstruct endoscopic submucosal dissection (ESD) and increase the risk of complications. In this manuscript, we presented ESD assisted by water pressure method and magnifying endoscopy for a difficult case of early esophageal cancer.
    Language English
    Publishing date 2023-08-04
    Publishing country Spain
    Document type Journal Article
    ZDB-ID 1070381-0
    ISSN 1130-0108 ; 0212-7512
    ISSN 1130-0108 ; 0212-7512
    DOI 10.17235/reed.2023.9828/2023
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: The role of N-acetyltransferases in cancers.

    Zhu, Rongrong / Chen, Mengjiao / Luo, Yongjia / Cheng, Haipeng / Zhao, Zhenwang / Zhang, Min

    Gene

    2023  Volume 892, Page(s) 147866

    Abstract: Cancer is a major global health problem that disrupts the balance of normal cellular growth and behavior. Mounting evidence has shown that epigenetic modification, specifically N-terminal acetylation, play a crucial role in the regulation of cell growth ... ...

    Abstract Cancer is a major global health problem that disrupts the balance of normal cellular growth and behavior. Mounting evidence has shown that epigenetic modification, specifically N-terminal acetylation, play a crucial role in the regulation of cell growth and function. Acetylation is a co- or post-translational modification to regulate important cellular progresses such as cell proliferation, cell cycle progress, and energy metabolism. Recently, N-acetyltransferases (NATs), enzymes responsible for acetylation, regulate signal transduction pathway in various cancers including hepatocellular carcinoma, breast cancer, lung cancer, colorectal cancer and prostate cancer. In this review, we clarify the regulatory role of NATs in cancer progression, such as cell proliferation, metastasis, cell apoptosis, autophagy, cell cycle arrest and energy metabolism. Furthermore, the mechanism of NATs on cancer remains to be further studied, and few drugs have been developed. This provides us with a new idea that targeting acetylation, especially NAT-mediated acetylation, may be an attractive way for inhibiting cancer progression.
    MeSH term(s) Male ; Humans ; Protein Processing, Post-Translational ; Apoptosis ; Neoplasms/genetics ; Acetylation ; Acetyltransferases/genetics ; Acetyltransferases/metabolism
    Chemical Substances Acetyltransferases (EC 2.3.1.-)
    Language English
    Publishing date 2023-09-30
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 391792-7
    ISSN 1879-0038 ; 0378-1119
    ISSN (online) 1879-0038
    ISSN 0378-1119
    DOI 10.1016/j.gene.2023.147866
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: In Situ Nano-SiO 2 Electrospun Polyethylene-Oxide-Based Nano-Fiber Composite Solid Polymer Electrolyte for High-Performance Lithium-Ion Batteries

    Luwei Shi / Longxing Zhang / Yanping Yang / Haipeng Zhang / Ruijie Yao / Caoquan Yuan / Shaobo Cheng

    Nanomaterials, Vol 13, Iss 1294, p

    2023  Volume 1294

    Abstract: Polyethylene oxide (PEO)-based composite polymer electrolytes (CPEs) containing in situ SiO 2 fillers are prepared using an electrostatic spinning method at room temperature. Through the in situ hydrolysis of tetraethyl silicate (TEOS), the generated SiO ...

    Abstract Polyethylene oxide (PEO)-based composite polymer electrolytes (CPEs) containing in situ SiO 2 fillers are prepared using an electrostatic spinning method at room temperature. Through the in situ hydrolysis of tetraethyl silicate (TEOS), the generated SiO 2 nanospheres are uniformly dispersed in the PEO matrix to form a 3D ceramic network, which enhances the mechanical properties of the electrolyte as a reinforcing phase. The interaction between SiO 2 nanospheres and PEO chains results in chemical bonding with a decrease in the crystallinity of the PEO matrix, as well as the complexation strength of PEO chains with lithium ions during the hydrolysis process. Meanwhile, the addition of SiO 2 nanospheres can disturb the orderliness of PEO chain segments and further suppress the crystallization of the PEO matrix. Therefore, improved mechanical/electrochemical properties can be obtained in the as-spun electrolyte with the unique one-dimensional high-speed ion channels. The electrospun CPE with in situ SiO 2 (10 wt%, ca. 45 nm) has a higher ionic conductivity of 1.03 × 10 −3 S cm −1 than that of the mechanical blending one. Meanwhile, the upper limit of the electrochemical stability window is up to 5.5 V versus Li + /Li, and a lithium-ion migration number can be of up to 0.282 at room temperature. In addition, in situ SiO 2 electrospun CPE achieves a tensile strength of 1.12 MPa, elongation at the break of 488.1%, and it has an excellent plasticity. All in all, it is expected that the electrospun CPE prepared in this study is a promising one for application in an all-solid-state lithium-ion battery (LIB) with a high energy density, long life cycle, and high safety.
    Keywords all-solid-state lithium battery ; solid-state polymer electrolyte ; in situ SiO 2 nanospheres ; electrostatic spinning ; electrochemical properties ; Chemistry ; QD1-999
    Subject code 540
    Language English
    Publishing date 2023-04-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: AugGKG

    Bing Han / Tengteng Qu / Xiaochong Tong / Haipeng Wang / Hao Liu / Yuhao Huo / Chengqi Cheng

    International Journal of Digital Earth, Vol 16, Iss 2, Pp 4934-

    a grid-augmented geographic knowledge graph representation and spatio-temporal query model

    2023  Volume 4957

    Abstract: ABSTRACTAs an emerging knowledge representation model in the domain of knowledge graphs, geographic knowledge graph can take full advantage of semantic, spatial and temporal information to facilitate answering spatio-temporal questions and completing ... ...

    Abstract ABSTRACTAs an emerging knowledge representation model in the domain of knowledge graphs, geographic knowledge graph can take full advantage of semantic, spatial and temporal information to facilitate answering spatio-temporal questions and completing relations. However, the representation of geographic knowledge graphs still has issues such as the difficulty of unified heterogeneous spatio-temporal data modelling, weak ability to answer spatio-temporal queries for dynamic multiobjective problems, and low efficiency of graph querying. This paper presents a grid-augmented geographic knowledge graph (AugGKG) based on the GeoSOT global subdivision grid model and time slice subgraph architecture. AugGKG discretely normalizes the spatio-temporal data of the graph, which involves five types of nodes and two types of relations. By using the geo-hidden layer of the graph and geocoding algebraic operations, the AugGKG can quickly answer complex multiobjective spatio-temporal queries and complete implicit spatio-temporal relations. Compared with existing geographic knowledge graphs (YAGO, GeoKG and GEKG), the comparative experiments verified the obvious advantages of AugGKG in terms of uniformity of accuracy, completeness, and efficiency. Hence, AugGKG is expected to be regarded as an innovative and robust geographic knowledge graph that can perform fast computation and relation completion for complex spatio-temporal queries in future geospatial question answering applications.
    Keywords Geographic knowledge graph ; geographic knowledge representation ; time slice ; spatio-temporal query ; geo-hidden layer ; Mathematical geography. Cartography ; GA1-1776
    Subject code 004
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher Taylor & Francis Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Unveiling the Intrinsic Photophysics in Quasi-Two-Dimensional Perovskites.

    Li, Bo-Han / Di, Haipeng / Li, Huang / Wang, Jia-Cheng / Zeng, Wen / Cheng, Da-Bing / Zhou, Chuanyao / Wang, Xingan / Shi, Yan / Song, Jiangfeng / Zhao, Yiying / Yang, Xueming / Ren, Zefeng

    Journal of the American Chemical Society

    2024  Volume 146, Issue 10, Page(s) 6974–6982

    Abstract: The two-dimensional (2D) perovskites have drawn intensive attention due to their unique stability and outstanding optoelectronic properties. However, the debate surrounding the spatial phase distribution and band alignment among different 2D phases in ... ...

    Abstract The two-dimensional (2D) perovskites have drawn intensive attention due to their unique stability and outstanding optoelectronic properties. However, the debate surrounding the spatial phase distribution and band alignment among different 2D phases in the quasi-2D perovskite has created complexities in understanding the carrier dynamics, hindering material and device development. In this study, we employed highly sensitive transient absorption spectroscopy to investigate the carrier dynamics of (BA)
    Language English
    Publishing date 2024-02-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 3155-0
    ISSN 1520-5126 ; 0002-7863
    ISSN (online) 1520-5126
    ISSN 0002-7863
    DOI 10.1021/jacs.3c14737
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Altered electronic structure of trimetallic FeNiCo-MOF nanosheets for efficient oxygen evolution.

    Li, Wenqiang / Zhang, Heng / Zhang, Ka / Cheng, Zezhong / Chen, Haipeng / Tan, Geng / Feng, Xun / Wang, Liya / Mu, Shichun

    Chemical communications (Cambridge, England)

    2023  Volume 59, Issue 32, Page(s) 4750–4753

    Abstract: Theoretical calculation results unveil that the reconstructed Co(Ni)OOH on FeNiCo-MOF during OER processes is beneficial to improve the OER activity. Experimentally, to achieve 2D trimetallic FeNiCo-MOF nanosheets, a facile room-temperature dispersion ... ...

    Abstract Theoretical calculation results unveil that the reconstructed Co(Ni)OOH on FeNiCo-MOF during OER processes is beneficial to improve the OER activity. Experimentally, to achieve 2D trimetallic FeNiCo-MOF nanosheets, a facile room-temperature dispersion approach is employed. Such 2D nanosheets reveal an OER overpotential as low as 239 mV at 10 mA cm
    Language English
    Publishing date 2023-04-18
    Publishing country England
    Document type Journal Article
    ZDB-ID 1472881-3
    ISSN 1364-548X ; 1359-7345 ; 0009-241X
    ISSN (online) 1364-548X
    ISSN 1359-7345 ; 0009-241X
    DOI 10.1039/d2cc06727g
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Fabrication of Hematite Photoanode Consisting of (110)-Oriented Single Crystals.

    Zhang, Haipeng / He, Yujie / Bao, Xiaolei / Wang, Zhaoqi / Jiang, Weiyi / Zheng, Liren / Fan, Yuchen / Zheng, Zhaoke / Cheng, Hefeng / Wang, Peng / Liu, Yuanyuan / Wang, Zeyan / Huang, Baibiao

    ChemSusChem

    2023  Volume 16, Issue 19, Page(s) e202300666

    Abstract: In this work, α- ... ...

    Abstract In this work, α-Fe
    Language English
    Publishing date 2023-07-28
    Publishing country Germany
    Document type Journal Article
    ISSN 1864-564X
    ISSN (online) 1864-564X
    DOI 10.1002/cssc.202300666
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: A Machine Learning-Based Method for Modeling TEC Regional Temporal-Spatial Map

    Yiran Liu / Jian Wang / Cheng Yang / Yu Zheng / Haipeng Fu

    Remote Sensing, Vol 14, Iss 5579, p

    2022  Volume 5579

    Abstract: In order to achieve the high-accuracy prediction of the total electron content (TEC) of the regional ionosphere for supporting the application of satellite navigation, positioning, measurement, and controlling, we proposed a modeling method based on ... ...

    Abstract In order to achieve the high-accuracy prediction of the total electron content (TEC) of the regional ionosphere for supporting the application of satellite navigation, positioning, measurement, and controlling, we proposed a modeling method based on machine learning (ML) and use this method to establish an empirical prediction model of TEC for parts of Europe. The model has three main characteristics: (1) The principal component analysis (PCA) is used to separate TEC’s temporal and spatial variation characteristics and to establish its corresponding map, (2) the solar activity parameters of the 12-month mean flux of the solar radio waves at 10.7 cm ( F 10.7 12 ) and the 12-month mean sunspot number ( R 12 ) are introduced into the temporal map as independent variables to reflect the temporal variation characteristics of TEC, and (3) The modified Kriging spatial interpolation method is used to achieve the spatial reconstruction of TEC. Finally, the regression learning method is used to determine the coefficients and harmonic numbers of the model by using the root mean square error (RMSE) and its relative value (RRMSE) as the evaluation standard. Specially, the modeling process is easy to understand, and the determined model parameters are interpretable. The statistical results show that the monthly mean values of TEC predicted by the proposed model in this paper are highly consistent with the observed values curve of TEC, and the RRMSE of the predicted results is 12.76%. Furthermore, comparing the proposed model with the IRI model, it can be found that the prediction accuracy of TEC by the proposed model is much higher than that of the IRI model either with CCIR or URSI coefficients, and the improvement is 38.63% and 35.79%, respectively.
    Keywords ionosphere ; machine learning ; principal component analysis ; TEC ; Science ; Q
    Language English
    Publishing date 2022-11-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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