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  1. Book ; Online: Autonomous Trajectory Planning and Guidance Control for Launch Vehicles

    Song, Zhengyu / Zhao, Dangjun / Theil, Stephan

    (Springer Series in Astrophysics and Cosmology)

    2023  

    Series title Springer Series in Astrophysics and Cosmology
    Keywords Astronomy, space & time ; Aerospace & aviation technology ; Automatic control engineering ; Carrier Rockets ; Ascend and Descend Guidance Control ; Fault Tolerant Control ; Thrust Drop ; Orbital Insertion ; Rapid Trajectory Planning ; Satellite Launch Vehicle ; Reusable Rockets
    Language English
    Size 1 electronic resource (218 pages)
    Publisher Springer Nature
    Publishing place Singapore
    Document type Book ; Online
    Note English
    HBZ-ID HT030377989
    ISBN 9789819906123 ; 9819906121
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: What Will Cuts to Medicare Advantage Payments Do to Enrollment?

    Song, Zirui

    JAMA health forum

    2023  Volume 4, Issue 6, Page(s) e231693

    MeSH term(s) United States ; Medicare Part C ; Fee-for-Service Plans
    Language English
    Publishing date 2023-06-02
    Publishing country United States
    Document type Journal Article
    ISSN 2689-0186
    ISSN (online) 2689-0186
    DOI 10.1001/jamahealthforum.2023.1693
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The Business Case for Reducing Firearm Injuries.

    Song, Zirui

    JAMA

    2022  Volume 328, Issue 12, Page(s) 1185–1186

    MeSH term(s) Commerce ; Firearms/statistics & numerical data ; Humans ; Workplace ; Wounds, Gunshot/prevention & control
    Language English
    Publishing date 2022-09-20
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2958-0
    ISSN 1538-3598 ; 0254-9077 ; 0002-9955 ; 0098-7484
    ISSN (online) 1538-3598
    ISSN 0254-9077 ; 0002-9955 ; 0098-7484
    DOI 10.1001/jama.2022.16890
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Conference proceedings: Treatment of Regan-Morrey type 1 and 2 ulnar coronoid fractures with loop plate technique comparative study of clinical efficacy in mid-term follow-up

    Song, Zhe

    2023  , Page(s) IN19–3258

    Event/congress Deutscher Kongress für Orthopädie und Unfallchirurgie (DKOU 2023); Berlin; ; Berufsverband für Orthopädie und Unfallchirurgie; 2023
    Keywords Medizin, Gesundheit ; coronary process ; elbow joint ; surgical treatment ; loop plate
    Publishing date 2023-10-23
    Publisher German Medical Science GMS Publishing House; Düsseldorf
    Document type Conference proceedings
    DOI 10.3205/23dkou686
    Database German Medical Science

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  5. Article: Facial Expression Emotion Recognition Model Integrating Philosophy and Machine Learning Theory.

    Song, Zhenjie

    Frontiers in psychology

    2021  Volume 12, Page(s) 759485

    Abstract: Facial expression emotion recognition is an intuitive reflection of a person's mental state, which contains rich emotional information, and is one of the most important forms of interpersonal communication. It can be used in various fields, including ... ...

    Abstract Facial expression emotion recognition is an intuitive reflection of a person's mental state, which contains rich emotional information, and is one of the most important forms of interpersonal communication. It can be used in various fields, including psychology. As a celebrity in ancient China, Zeng Guofan's wisdom involves facial emotion recognition techniques. His book Bing Jian summarizes eight methods on how to identify people, especially how to choose the right one, which means "look at the eyes and nose for evil and righteousness, the lips for truth and falsehood; the temperament for success and fame, the spirit for wealth and fortune; the fingers and claws for ideas, the hamstrings for setback; if you want to know his consecution, you can focus on what he has said." It is said that a person's personality, mind, goodness, and badness can be showed by his face. However, due to the complexity and variability of human facial expression emotion features, traditional facial expression emotion recognition technology has the disadvantages of insufficient feature extraction and susceptibility to external environmental influences. Therefore, this article proposes a novel feature fusion dual-channel expression recognition algorithm based on machine learning theory and philosophical thinking. Specifically, the feature extracted using convolutional neural network (CNN) ignores the problem of subtle changes in facial expressions. The first path of the proposed algorithm takes the Gabor feature of the ROI area as input. In order to make full use of the detailed features of the active facial expression emotion area, first segment the active facial expression emotion area from the original face image, and use the Gabor transform to extract the emotion features of the area. Focus on the detailed description of the local area. The second path proposes an efficient channel attention network based on depth separable convolution to improve linear bottleneck structure, reduce network complexity, and prevent overfitting by designing an efficient attention module that combines the depth of the feature map with spatial information. It focuses more on extracting important features, improves emotion recognition accuracy, and outperforms the competition on the FER2013 dataset.
    Language English
    Publishing date 2021-09-27
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2021.759485
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Teacher Stroke as a Positive Interpersonal Behavior on English as a Foreign Language Learners' Success and Enthusiasm.

    Song, Zhe

    Frontiers in psychology

    2021  Volume 12, Page(s) 761658

    Abstract: In the context of language learning, teacher-student interactions are regarded as pivotal for their impact on the education of learners and their academic journey. To help learners succeed, the teachers may employ various ways to develop this ... ...

    Abstract In the context of language learning, teacher-student interactions are regarded as pivotal for their impact on the education of learners and their academic journey. To help learners succeed, the teachers may employ various ways to develop this interpersonal relationship, one of which is teacher stroke which is also called teacher praise. Interpersonal skills, societal encouragement, and stroking manners, respect, consideration, or reactions that an individual provides for others can uphold such a connection and can affect the enthusiasm of the students. To this end, this study makes an effort to review the prominence of teacher stroke in the process of learning in the classroom and illustrate their relationship and their impact on the enthusiasm and success of the learners. Furthermore, this study contributes to the body of dominant literature and suggestions and recommendations have been presented for the language teaching stakeholders in the educational setting.
    Language English
    Publishing date 2021-10-20
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2021.761658
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Making the Affordable Care Act Marketplace More Affordable.

    Song, Zirui

    JAMA health forum

    2021  Volume 2, Issue 5

    MeSH term(s) Costs and Cost Analysis ; Health Insurance Exchanges ; Insurance Coverage ; Patient Protection and Affordable Care Act ; United States
    Language English
    Publishing date 2021-05-21
    Publishing country United States
    Document type Journal Article
    ISSN 2689-0186
    ISSN (online) 2689-0186
    DOI 10.1001/jamahealthforum.2021.0276
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Taking account of accountable care.

    Song, Zirui

    Health services research

    2021  Volume 56, Issue 4, Page(s) 573–577

    MeSH term(s) Accountable Care Organizations/economics ; Accountable Care Organizations/organization & administration ; Accountable Care Organizations/standards ; Benchmarking/organization & administration ; Benchmarking/standards ; Efficiency, Organizational ; Health Expenditures ; Humans ; Reimbursement, Incentive/economics ; Reimbursement, Incentive/organization & administration ; United States
    Language English
    Publishing date 2021-06-08
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 410435-3
    ISSN 1475-6773 ; 0017-9124
    ISSN (online) 1475-6773
    ISSN 0017-9124
    DOI 10.1111/1475-6773.13689
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: One-Pot Synthesis of Polycyclic Sultams Enabled by Gold-Catalyzed Hydroamination of

    Zhang, Lijun / Song, Zhiguang

    Organic letters

    2024  Volume 26, Issue 11, Page(s) 2192–2196

    Abstract: Herein we present a facile and efficient one-pot synthetic protocol for the construction of polycyclic sultams. This protocol involves gold-catalyzed intramolecular hydroamination ... ...

    Abstract Herein we present a facile and efficient one-pot synthetic protocol for the construction of polycyclic sultams. This protocol involves gold-catalyzed intramolecular hydroamination of
    Language English
    Publishing date 2024-03-08
    Publishing country United States
    Document type Journal Article
    ISSN 1523-7052
    ISSN (online) 1523-7052
    DOI 10.1021/acs.orglett.4c00294
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Voice use of nurses working in the intensive care unit during the COVID-19 pandemic.

    Song, Ziwei / Lee, Pyoung-Jik

    Intensive & critical care nursing

    2024  Volume 82, Page(s) 103620

    Abstract: Objective: This study aimed to investigate the voice use of nurses working in intensive care units (ICUs) and their perception of acoustic environments.: Setting and sample: The research was conducted in four different hospitals in China during the ... ...

    Abstract Objective: This study aimed to investigate the voice use of nurses working in intensive care units (ICUs) and their perception of acoustic environments.
    Setting and sample: The research was conducted in four different hospitals in China during the COVID-19 pandemic. A total of 60 ICU nurses were recruited for their voice use monitoring and 100 nurses participated in the survey.
    Research methodology: Firstly, voice-related parameters such as voice level (SPL, dB), fundamental frequency (F0, Hz), and voicing time percentage (Dt, %) were measured using a vocal monitor. To collect data, a non-invasive accelerometer was attached to the participants' necks during their working hours. Secondly, the perception of the ICU acoustic environment was assessed using semantic differential.
    Results: The results showed that nurses spoke approximately 0.9-4 dB louder to patients and colleagues in ICUs compared to quiet rooms, and their fundamental frequency (F0) significantly increased during work. The voice levels of nurses were influenced by background noise levels, with a significant correlation coefficient of 0.44 (p < 0.01). Furthermore, the background noise levels ranged from 58.1 to 73.9 dBA, exceeding the guideline values set by the World Health Organisation (WHO). The semantic differential analysis identified 'Stress' and 'Irritation' as the two main components, indicating the prevalence of negative experiences within ICUs.
    Implications for clinical practice: This study highlights the potential risk of voice disorders among ICU nurses. The findings also underscore the importance of implementing strategies to reduce noise levels in ICUs to reduce voice disorders among nurses.
    MeSH term(s) Humans ; Phonation ; COVID-19 ; Pandemics ; Voice Disorders ; Intensive Care Units ; Nurses
    Language English
    Publishing date 2024-01-16
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1105892-4
    ISSN 1532-4036 ; 0964-3397
    ISSN (online) 1532-4036
    ISSN 0964-3397
    DOI 10.1016/j.iccn.2023.103620
    Database MEDical Literature Analysis and Retrieval System OnLINE

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