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  1. Artikel ; Online: Physical education teaching mode assisted by artificial intelligence assistant under the guidance of high-order complex network.

    Song, Xizhong

    Scientific reports

    2024  Band 14, Heft 1, Seite(n) 4104

    Abstract: This study explores the integration of artificial intelligence (AI) teaching assistants in sports tennis instruction to enhance the intelligent teaching system. Firstly, the applicability of AI technology to tennis teaching in schools is investigated. ... ...

    Abstract This study explores the integration of artificial intelligence (AI) teaching assistants in sports tennis instruction to enhance the intelligent teaching system. Firstly, the applicability of AI technology to tennis teaching in schools is investigated. The intelligent teaching system comprises an expert system, an image acquisition system, and an intelligent language system. Secondly, employing compressed sensing theory, a framework for learning the large-scale fuzzy cognitive map (FCM) from time series data, termed compressed sensing-FCM (CS-FCM), is devised to address challenges associated with automatic learning methods in the designed AI teaching assistant system. Finally, a high-order FCM-based time series prediction framework is proposed. According to experimental simulations, CS-FCM demonstrates robust convergence and stability, achieving a stable point with a reconstruction error below 0.001 after 15 iterations for FCM with various data lengths and a density of 20%. The proposed intelligent system based on high-order complex networks significantly improves upon the limitations of the current FCM model. The advantages of its teaching assistant system can be effectively leveraged for tennis instruction in sports.
    Sprache Englisch
    Erscheinungsdatum 2024-02-19
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-53964-7
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: Antibacterial, Antifungal, and Antiviral Bioactive Compounds from Natural Products.

    Song, Xun

    Molecules (Basel, Switzerland)

    2024  Band 29, Heft 4

    Abstract: In the relentless pursuit of innovative therapeutic agents, natural products have emerged as a transformative avenue in the battle against infectious diseases [ ... ]. ...

    Abstract In the relentless pursuit of innovative therapeutic agents, natural products have emerged as a transformative avenue in the battle against infectious diseases [...].
    Mesh-Begriff(e) Antifungal Agents/pharmacology ; Biological Products/pharmacology ; Anti-Bacterial Agents/pharmacology ; Antiviral Agents/pharmacology
    Chemische Substanzen Antifungal Agents ; Biological Products ; Anti-Bacterial Agents ; Antiviral Agents
    Sprache Englisch
    Erscheinungsdatum 2024-02-11
    Erscheinungsland Switzerland
    Dokumenttyp Editorial
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules29040825
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    Verfügbar in ZB MED Köln/Königswinter

    Zs.MO 81: Hefte anzeigen

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  3. Konferenzbeitrag ; Online: Eco-environmental effects of major construction projects

    Song, X.

    XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)

    2023  

    Abstract: As the third pole of the earth, the Qinghai-Tibet Plateau plays an important role in the formation and evolution of climate. To clarify the impact of road engineering, hydropower development projects and mineral development projects on the ecological ... ...

    Abstract As the third pole of the earth, the Qinghai-Tibet Plateau plays an important role in the formation and evolution of climate. To clarify the impact of road engineering, hydropower development projects and mineral development projects on the ecological security barrier system of the Qinghai-Tibet Plateau is the basis and premise of strengthening the ecological environment protection of the Qinghai-Tibet Plateau. The impacts of major construction projects on the Qinghai-Tibet Plateau on water conservation, soil and water conservation, carbon sequestration, climate change, and biodiversity were studied. The research results will provide scientific support for the optimization of the ecological security barrier system and functional areas of the Qinghai-Tibet Plateau, and are of great significance for promoting the sustainable development of the ecological environment of the Qinghai-Tibet Plateau.
    Sprache Englisch
    Erscheinungsland de
    Dokumenttyp Konferenzbeitrag ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Artikel ; Online: A "Rich People's Disease": Migrant Workers and Structural Disability in China.

    Song, Xisai

    Medical anthropology

    2023  Band 42, Heft 3, Seite(n) 264–277

    Abstract: Drawing on fieldwork in southwest China, I examine how structural marginalization shapes therapeutic choices and healing experiences of chronic illness. I explore why Chinese rural migrant workers avoid chronic care in biomedicine to grapple with their ... ...

    Abstract Drawing on fieldwork in southwest China, I examine how structural marginalization shapes therapeutic choices and healing experiences of chronic illness. I explore why Chinese rural migrant workers avoid chronic care in biomedicine to grapple with their chronic kidney disease. I show that migrant workers, who live precarious labor lives, experience chronic kidney disease as both a chronic, disabling experience and an acute crisis. I call for broader awareness of structural disability and argue that chronic disease care necessitates not only treating the disease but also the provision of equitable social security.
    Mesh-Begriff(e) Humans ; Transients and Migrants ; Anthropology, Medical ; China ; Rural Population
    Sprache Englisch
    Erscheinungsdatum 2023-03-28
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 603228-x
    ISSN 1545-5882 ; 0145-9740
    ISSN (online) 1545-5882
    ISSN 0145-9740
    DOI 10.1080/01459740.2023.2189111
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    Zs.B 2095: Hefte anzeigen Standort:
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  5. Artikel ; Online: Statistical and Computational Methods for Proteogenomic Data Analysis.

    Song, Xiaoyu

    Methods in molecular biology (Clifton, N.J.)

    2023  Band 2629, Seite(n) 271–303

    Abstract: Proteins are the functional molecules for almost all cellular and biological processes. They are also the targets of most drugs. Proteins employ complex, multilevel regulations, so their abundance levels do not well correlated with their mRNA expression ... ...

    Abstract Proteins are the functional molecules for almost all cellular and biological processes. They are also the targets of most drugs. Proteins employ complex, multilevel regulations, so their abundance levels do not well correlated with their mRNA expression levels. The structure, activity, and functional roles of proteins are affected by posttranslational modifications (PTM), which are even less correlated with mRNA expression levels than protein abundances. Comprehensive characterization of the proteomics data is critical for understanding the molecular and cellular mechanisms of biological systems and developing news therapeutics. Current large-scale proteomic profiling technologies, such as mass spectrometry, provide relative identification of peptides and proteins, with data vulnerable to outliers, batch effects, and nonrandom missingness. In order to perform high-quality proteomic data analysis, we will first introduce a data preprocessing and quality control pipeline that includes normalization, outlier detection and removal, batch effect identification and handling, and missing data imputation. Then, we will describe several statistical methods that leverage well-processed proteomic data to generate scientific discoveries, especially with an integration with genomics and transcriptomics. These methods cover topics like association analysis, network construction, clustering, and cell-type deconvolution. To demonstrate these methods, we will use the proteogenomic data from the lung squamous cell carcinoma study of the Clinical Proteomic Tumor Analysis Consortium and provide sample codes for data access and analyses.
    Mesh-Begriff(e) Proteomics/methods ; Proteogenomics ; Genomics/methods ; Peptides/metabolism ; RNA, Messenger
    Chemische Substanzen Peptides ; RNA, Messenger
    Sprache Englisch
    Erscheinungsdatum 2023-03-16
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 1940-6029
    ISSN (online) 1940-6029
    DOI 10.1007/978-1-0716-2986-4_13
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  6. Artikel ; Online: A corrected smoothed score approach for semiparametric accelerated failure time model with error-contaminated covariates.

    Song, Xiao

    Statistics in medicine

    2023  Band 42, Heft 22, Seite(n) 4043–4055

    Abstract: We consider the semiparametric accelerated failure time (AFT) model with multiple covariates measured with error. Existing methods for the AFT model are either inconsistent, computationally intensive, or require stringent assumptions. To overcome these ... ...

    Abstract We consider the semiparametric accelerated failure time (AFT) model with multiple covariates measured with error. Existing methods for the AFT model are either inconsistent, computationally intensive, or require stringent assumptions. To overcome these limitations, we develop a correction approach for a general smooth function of error-contaminated variables. We apply this method to the smoothed rank-based score function for the AFT model. The estimator is consistent and asymptotically normal. The finite-sample performance of the method is assessed by simulation studies. The approach is illustrated by application to data from an HIV clinical trial.
    Mesh-Begriff(e) Humans ; Computer Simulation ; Statistics as Topic
    Sprache Englisch
    Erscheinungsdatum 2023-07-13
    Erscheinungsland England
    Dokumenttyp Journal Article ; Research Support, U.S. Gov't, Non-P.H.S. ; Research Support, N.I.H., Extramural
    ZDB-ID 843037-8
    ISSN 1097-0258 ; 0277-6715
    ISSN (online) 1097-0258
    ISSN 0277-6715
    DOI 10.1002/sim.9847
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 1756: Hefte anzeigen Standort:
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  7. Artikel ; Online: Analysis of soluble programmed death-1 ligand-1 of lung cancer patients with different characteristics.

    Zhu, H-B / Song, X

    European review for medical and pharmacological sciences

    2023  Band 27, Heft 18, Seite(n) 8690–8696

    Abstract: Objective: To analyze the association of soluble programmed death-1 ligand-1 (sPD-L1) levels with clinicopathological characteristics, therapy efficacy, and survival outcomes in lung cancer patients.: Patients and methods: The study included two ... ...

    Abstract Objective: To analyze the association of soluble programmed death-1 ligand-1 (sPD-L1) levels with clinicopathological characteristics, therapy efficacy, and survival outcomes in lung cancer patients.
    Patients and methods: The study included two hundred treatment-naive patients with small cell lung cancer (SCLC) (n=12), and non-small cell lung cancer (NSCLC) (n=188). Plasma samples from 96 healthy individuals and 13 patients with benign tumors served as controls. Enzyme-linked immunosorbent assay (ELISA) was used to evaluate sPD-L1 expression. Blood samples of 67 NSCLC patients before and after therapy were collected.
    Results: sPD-L1 expression was significantly higher in lung cancer patients compared to the control groups (p=0.002). Moreover, patients with lower performance status had significantly higher sPD-L1 levels (p=0.005). NSCLC patients at later stages of the disease had greater sPD-L1 levels than those at the early stages (p<0.001). The presence of epidermal growth factor receptor (EGFR) mutation was not significantly different with higher sPD-L1 expression (p=0.334). Although sPD-L1 levels and progression-free survival (PFS) were linked with excellent response to therapy and advancing disease (p=0.307), no correlation was seen between sPD-L1 decrease and progression free survival (PFS).
    Conclusions: Elevated sPD-L1 expression in NSCLC patients was associated with more advanced disease and worse overall health of the patients, suggesting a possible association with a negative clinical response and prognosis. sPD-L1 expression may be influenced by the mutation in EGFR.
    Mesh-Begriff(e) Humans ; Lung Neoplasms/genetics ; Carcinoma, Non-Small-Cell Lung/genetics ; Ligands ; Small Cell Lung Carcinoma ; ErbB Receptors/genetics
    Chemische Substanzen Ligands ; ErbB Receptors (EC 2.7.10.1)
    Sprache Englisch
    Erscheinungsdatum 2023-10-20
    Erscheinungsland Italy
    Dokumenttyp Journal Article
    ZDB-ID 605550-3
    ISSN 2284-0729 ; 1128-3602 ; 0392-291X
    ISSN (online) 2284-0729
    ISSN 1128-3602 ; 0392-291X
    DOI 10.26355/eurrev_202309_33792
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  8. Buch ; Online: A design of Convolutional Neural Network model for the Diagnosis of the COVID-19

    Song, Xinyuan

    2023  

    Abstract: With the spread of COVID-19 around the globe over the past year, the usage of artificial intelligence (AI) algorithms and image processing methods to analyze the X-ray images of patients' chest with COVID-19 has become essential. The COVID-19 virus ... ...

    Abstract With the spread of COVID-19 around the globe over the past year, the usage of artificial intelligence (AI) algorithms and image processing methods to analyze the X-ray images of patients' chest with COVID-19 has become essential. The COVID-19 virus recognition in the lung area of a patient is one of the basic and essential needs of clicical centers and hospitals. Most research in this field has been devoted to papers on the basis of deep learning methods utilizing CNNs (Convolutional Neural Network), which mainly deal with the screening of sick and healthy people.In this study, a new structure of a 19-layer CNN has been recommended for accurately recognition of the COVID-19 from the X-ray pictures of chest. The offered CNN is developed to serve as a precise diagnosis system for a three class (viral pneumonia, Normal, COVID) and a four classclassification (Lung opacity, Normal, COVID-19, and pneumonia). A comparison is conducted among the outcomes of the offered procedure and some popular pretrained networks, including Inception, Alexnet, ResNet50, Squeezenet, and VGG19 and based on Specificity, Accuracy, Precision, Sensitivity, Confusion Matrix, and F1-score. The experimental results of the offered CNN method specify its dominance over the existing published procedures. This method can be a useful tool for clinicians in deciding properly about COVID-19.
    Schlagwörter Electrical Engineering and Systems Science - Image and Video Processing ; Computer Science - Computer Vision and Pattern Recognition
    Thema/Rubrik (Code) 006
    Erscheinungsdatum 2023-11-10
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  9. Artikel ; Online: Real-World Analysis of Antipsychotic Drugs' Effect on Weight Gain: An EHR Application.

    Gupta, Shraddha / Song, Xing

    AMIA ... Annual Symposium proceedings. AMIA Symposium

    2024  Band 2023, Seite(n) 961–968

    Mesh-Begriff(e) Humans ; Antipsychotic Agents/adverse effects ; Weight Gain ; Obesity
    Chemische Substanzen Antipsychotic Agents
    Sprache Englisch
    Erscheinungsdatum 2024-01-11
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 1942-597X
    ISSN (online) 1942-597X
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  10. Artikel ; Online: Dual-stage hybrid network for single-shot fringe projection profilometry based on a phase-height model.

    Song, Xuwen / Wang, Lianpo

    Optics express

    2024  Band 32, Heft 1, Seite(n) 891–906

    Abstract: Single-shot fringe projection profilometry (FPP) is widely used in the field of dynamic optical 3D reconstruction because of its high accuracy and efficiency. However, the traditional single-shot FPP methods are not satisfactory in reconstructing complex ...

    Abstract Single-shot fringe projection profilometry (FPP) is widely used in the field of dynamic optical 3D reconstruction because of its high accuracy and efficiency. However, the traditional single-shot FPP methods are not satisfactory in reconstructing complex scenes with noise and discontinuous objects. Therefore, this paper proposes a Deformable Convolution-Based HINet with Attention Connection (DCAHINet), which is a dual-stage hybrid network with a deformation extraction stage and depth mapping stage. Specifically, the deformable convolution module and attention gate are introduced into DCAHINet respectively to enhance the ability of feature extraction and fusion. In addition, to solve the long-standing problem of the insufficient generalization ability of deep learning-based single-shot FPP methods on different hardware devices, DCAHINet outputs phase difference, which can be converted into 3D shapes by simple multiplication operations, rather than directly outputting 3D shapes. To the best of the author's knowledge, DCAHINet is the first network that can be applied to different hardware devices. Experiments on virtual and real datasets show that the proposed method is superior to other deep learning or traditional methods and can be used in practical application scenarios.
    Sprache Englisch
    Erscheinungsdatum 2024-01-04
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 1491859-6
    ISSN 1094-4087 ; 1094-4087
    ISSN (online) 1094-4087
    ISSN 1094-4087
    DOI 10.1364/OE.505544
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