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  1. Book ; Online: Advances in Frontier Research on Engineering Structures

    Yang, Yang

    (Lecture Notes in Civil Engineering ; 286)

    2023  

    Author's details edited by Yang Yang
    Series title Lecture Notes in Civil Engineering ; 286
    Keywords Civil engineering ; Building materials ; Mechanics, Applied
    Subject code 624
    Language English
    Size 1 Online-Ressource (XI, 539 p. 313 illus., 232 illus. in color)
    Edition 1st ed. 2023
    Publisher Springer Nature Singapore ; Imprint: Springer
    Publishing place Singapore
    Document type Book ; Online
    HBZ-ID HT021736153
    ISBN 978-981-19-8657-4 ; 9789811986567 ; 9789811986581 ; 9789811986598 ; 981-19-8657-6 ; 9811986568 ; 9811986584 ; 9811986592
    DOI 10.1007/978-981-19-8657-4
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online: Advances in Frontier Research on Engineering Structures

    Yang, Yang

    (Lecture Notes in Civil Engineering)

    2023  

    Series title Lecture Notes in Civil Engineering
    Keywords Civil engineering, surveying & building ; Building construction & materials ; Mechanical engineering ; Civil Engineering ; Structural Engineering ; Building, Material ; Seismic Simulation
    Language English
    Size 1 electronic resource (539 pages)
    Publisher Springer Nature
    Publishing place Singapore
    Document type Book ; Online
    Note English
    HBZ-ID HT030376723
    ISBN 9789811986574 ; 9811986576
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Book ; Online: Petroleum Engineering in Oil and Gas Production: Advances in Theory and Operation

    Xu, Xingguang / Xie, Kun / Yang, Yang

    2023  

    Keywords Research & information: general ; reservoir parameter prediction ; temporal convolutional network ; porosity ; permeability ; water saturation ; organic-rich mud shale ; Songliao Basin ; Qingshankou Formation ; micro-CT ; simulation ; porosity and permeability ; gas-soluble plugging agent ; bottom water ; water plugging fracturing technology ; unconventional oil and gas resources ; carbonate reservoir ; reservoir quality ; depositional model ; diagenetic process ; flow unit ; Callovian-Oxfordian Stage ; reservoir ; seismic sedimentology ; river delta facies ; tidal facies ; lacustrine ; condensate gas reservoir ; condensate oil ; discrete fracture ; oil and gas exploration ; logging tool ; velocity radial profile ; constrained inversion method ; equivalent-tool theory ; shale gas reservoir ; well interference ; gas injection pressurization ; numerical simulation ; multi-fractured horizontal well ; sand production ; sanding ; sand control ; wire-wrapped screens ; prepack sand retention test ; wellbore stability ; rock strength deterioration ; shale formation ; oil-based drilling fluid ; shale gas reservoirs ; poro-elasticity is shale gas ; gas absorption-desorption process ; shale oil ; two-phase flow simulation ; microscale effect
    Language English
    Size 1 electronic resource (218 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel
    Document type Book ; Online
    Note English
    HBZ-ID HT030649879
    ISBN 9783036593333 ; 3036593330
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  4. Book ; Online: Symmetry in Structural Health Monitoring

    Yang, Yang / Lei, Ying / Meng, Xiaolin / Li, Jun

    2022  

    Keywords Technology: general issues ; History of engineering & technology ; real-time hybrid simulation ; H∞ control ; time delay ; mixed sensitivity ; structural health monitoring ; deep learning ; data anomaly detection ; convolutional neural network ; time-frequency extraction ; micro inertial measurement unit (MIMU) ; variational mode decomposition (VMD) ; Hilbert-Huang transform (HHT) ; frequency-domain integration approach (FDIA) ; torsion angle calculation ; offshore oil platform ; self-anchored suspension bridge ; cable clamp ; slippage ; force analysis ; high formwork ; ARMA ; BPNN ; stress trend prediction ; crack detection ; improved YOLOv4 ; concrete surface ; substructure shake table testing ; integration algorithm ; finite element method ; damper ; digital twin ; prestressed steel structure ; construction process ; safety assessment ; intelligent construction ; structural health monitoring (SHM) ; vibration ; frequency domain ; time domain ; time-frequency domain ; technical codes ; multiple square loops (MSL)-string ; seismic excitation ; dynamic response ; seismic pulse ; near and far field ; three-dimensional laser scanning ; surface flatness of initial support of tunnel ; curved surface fitting ; flatness calculation datum ; curvedcontinuous girder bridge ; collision response ; seismic mitigation ; pounding mitigation and unseating prevention ; heavy-duty vehicle ; road ; coupling model ; terrestrial laser scanning ; RGB ; genetic algorithm ; artificial neutral network
    Language 0|e
    Size 1 electronic resource (310 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021619209
    ISBN 9783036542386 ; 3036542388
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  5. Article: Impact of FMEA-Based Nursing on Postoperative Condition of Appendicitis Patients.

    Yang, Yang

    Alternative therapies in health and medicine

    2024  

    Abstract: Backgrounds: Appendicitis (AP) is a prevalent and sudden disease, and although surgery can be effective in treating it, post-surgical care is of great importance in improving the patient's recovery.: Objective: To analyze the impact of Failure Mode ... ...

    Abstract Backgrounds: Appendicitis (AP) is a prevalent and sudden disease, and although surgery can be effective in treating it, post-surgical care is of great importance in improving the patient's recovery.
    Objective: To analyze the impact of Failure Mode and Effect Analysis (FMEA)-based nursing on patients with AP after surgery.
    Methods: A total of 104 patients with AP who received treatment in Fuyang Shi Hospital of TCM from December 2021 to February 2023 were enrolled and randomly divided into a control group (n = 52) who received routine nursing and a research group (n = 52) who receive FMEA-based nursing. The time to recovery of bowel sounds, time to defecation by anus, time to anal exhaust, and length of stay were statistically analyzed in both groups after surgery. Pain, sleep, and psychological status of patients before and after surgery were assessed using the visual analog scale (VAS), Pittsburgh Sleep Quality Index (PSQI), and self-rating anxiety scale/self-rating depression scale (SAS/SDS). Patients' satisfaction with nursing was also investigated, and the incidence of postoperative complications was recorded.
    Results: After surgery, the research group showed shorter time to recovery of bowel sounds, time to defecation by anus, time to anal exhaust, and length of stay, and lower scores of VAS, PSQI, SAS, and SDS than those of the control group (P < .05). As indicated by the satisfaction survey, compared with the control group, the research group showed a larger number of patients who were very satisfied with nursing and a smaller number of patients who thought their nursing should be improved; the incidence of postoperative complications was also lower in the research group (P < .05).
    Conclusion: For patients with AP, FMEA-based nursing improves their postoperative recovery, alleviates their pain, and ameliorates their sleep quality, which is of high clinical application value.
    Language English
    Publishing date 2024-04-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1225073-9
    ISSN 1078-6791
    ISSN 1078-6791
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Book ; Online: SIRT Family in Endocrinology

    Yang, Yang / Reiter, Russel J.

    2019  

    Keywords Medicine ; Endocrinology ; Diabetes ; Cardiovascular medicine ; Silent information regulator ; Metabolism
    Size 1 electronic resource (212 pages)
    Publisher Frontiers Media SA
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021231402
    ISBN 9782889630219 ; 2889630218
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  7. Article ; Online: A daily diary study on stressors, hurt feelings, aggression, and somatic symptoms: The role of rejection sensitivity and negative emotion differentiation.

    Yang, Yang

    Aggressive behavior

    2023  Volume 49, Issue 4, Page(s) 371–383

    Abstract: The current study adopted a daily diary design to examine associations of daily stressors and hurt feelings to three unfavorable daily outcomes, including verbal aggression, physical aggression, and somatic symptoms and the moderation of rejection ... ...

    Abstract The current study adopted a daily diary design to examine associations of daily stressors and hurt feelings to three unfavorable daily outcomes, including verbal aggression, physical aggression, and somatic symptoms and the moderation of rejection sensitivity and negative emotion regulation on the relations between these daily variables. A total of 248 college students participated in the daily diary study in which they responded to the assessment on a daily basis for 7 consecutive days. The results indicated that daily stressors predicted daily verbal aggression; daily stressors, daily hurt feelings, and rejection sensitivity predicted somatic symptoms. Negative emotion regulation moderated the association between stressors and verbal aggression such that more stressors and high negative emotion regulation predicted more frequent daily verbal aggression. Rejection sensitivity moderated the association of hurt feelings to verbal and physical aggression. Perception of hurt feelings and high rejection sensitivity predicted more verbal aggression but less physical aggression. Rejection sensitivity also moderated the association of stressors to somatic symptoms such that more stressors and high rejection sensitivity predicted more somatic symptoms. The findings collectively highlight the importance of supporting individuals with high rejection sensitivity to encode social cues in a healthy way. It is imperative to provide emotion regulation skills to cope with negative emotions derived from social interactions.
    MeSH term(s) Humans ; Medically Unexplained Symptoms ; Emotions ; Aggression/psychology ; Emotional Regulation ; Students/psychology
    Language English
    Publishing date 2023-02-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 189812-7
    ISSN 1098-2337 ; 0096-140X
    ISSN (online) 1098-2337
    ISSN 0096-140X
    DOI 10.1002/ab.22076
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Modeling state- and trait-level associations between aggression, somatic symptoms, substance use, and distress tolerance.

    Yang, Yang

    Aggressive behavior

    2023  Volume 49, Issue 6, Page(s) 580–594

    Abstract: The current study examined the state- and trait-level associations of psychological and physical aggression to somatic symptoms, and alcohol and drug use and tested the influence of distress tolerance on these associations, while controlling for stress, ... ...

    Abstract The current study examined the state- and trait-level associations of psychological and physical aggression to somatic symptoms, and alcohol and drug use and tested the influence of distress tolerance on these associations, while controlling for stress, sex, and minority status. A naturalistic observation was used to collect data with a sample of 245 college students at three time points with 2 weeks apart. Random-intercept cross-lagged panel models were used to disaggregate within-person effects (autoregressive and cross-lagged effects) from the between-person (latent trait-level) associations. The findings revealed that there were autoregressive effects of psychological aggression between Time 1 (T1) and Time 2 (T2) and of physical aggression between T1 and T2. There was a bidirectional association between psychological aggression and somatic symptoms at T2 and Time 3 (T3), in which T2 psychological aggression predicted T3 somatic symptoms and verse vera. T1 drug use predicted T2 physical aggression, which in turn predicted T3 somatic symptoms, indicating physical aggression being a mediator between earlier drug use and later somatic symptoms. Distress tolerance was negatively associated with psychological aggression and somatic symptoms, respectively, and such an influence did not differ across time occasions. The findings indicated the importance of incorporating physical health in the prevention and intervention of psychological aggression. Clinicians may also consider including psychological aggression in the screening of somatic symptoms or physical health. Empirical-supported therapy components for enhancing distress tolerance may help mitigate psychological aggression and somatic symptoms.
    Language English
    Publishing date 2023-06-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 189812-7
    ISSN 1098-2337 ; 0096-140X
    ISSN (online) 1098-2337
    ISSN 0096-140X
    DOI 10.1002/ab.22096
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Study on AI Audit Mode in the Background of Machine Learning and Internet of Things

    Yang Yang

    Security and Communication Networks, Vol

    2022  Volume 2022

    Abstract: AI is a high-tech development technology that scholars from all over the world are focusing on. It has also undergone subversive changes to the auditing industry. AI has revolutionized auditing processes, methods, and models. In recent years, the ... ...

    Abstract AI is a high-tech development technology that scholars from all over the world are focusing on. It has also undergone subversive changes to the auditing industry. AI has revolutionized auditing processes, methods, and models. In recent years, the government has also vigorously promoted the application of artificial intelligence technology. Machine learning is a subpoint of artificial intelligence research, and its main purpose is to realize the anthropomorphism of electronic devices by giving them the ability to learn. The Internet of Everything has become a feature of the current era, and the Internet of Things technology has also been applied in various industries. The auditing industry is one of the key parts of promoting economic development. Machine learning and Internet of Things technology can bring more improvements to auditing under the current form of artificial intelligence. This paper mainly uses the research methods of literature analysis and case analysis, combined with various visual charts, based on the theory of machine learning and the Internet of Things, to explore the application of the two technologies in the artificial intelligence audit mode, mainly for artificial intelligence auditing in social auditing. The problems in the application are analyzed, and the artificial intelligence audit mode strategy is designed based on machine learning and the Internet of Things according to the national, industry, and social audit workers.
    Keywords Technology (General) ; T1-995 ; Science (General) ; Q1-390
    Subject code 670
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Hindawi-Wiley
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Security Evaluation of Financial and Insurance and Ruin Probability Analysis Integrating Deep Learning Models

    Yang Yang

    Computational Intelligence and Neuroscience, Vol

    2022  Volume 2022

    Abstract: To ensure safe development of the financial and insurance industry and promote the continuous growth of the social economy, the theory and its role of deep learning are firstly analyzed. Secondly, the security of financial and insurance and bankruptcy ... ...

    Abstract To ensure safe development of the financial and insurance industry and promote the continuous growth of the social economy, the theory and its role of deep learning are firstly analyzed. Secondly, the security of financial and insurance and bankruptcy probability are discussed. Finally, an analytical model of the security bankruptcy probability of financial and insurance is designed through a deep learning model, and the model is evaluated comprehensively. The research results manifest that first, the designed security evaluation of the financial and insurance industry based on the deep learning and bankruptcy probability analysis model not only has strong learning ability but also can effectively reduce its own calculation error through short-time learning. Then, by comparing with other models, it is found that the designed model has a stronger ability to control various errors than other models, and the overall error rate of the model can be reduced to about 20%. At last, the data training indicates that the model designed by the deep learning method can accurately and effectively predict the basic situation of the financial and insurance industry, the minimum error can reach 0, and the highest is only about 3. The research provides a technical reference for the development of the financial and insurance industry and contributes to the prosperity of the social economy.
    Keywords Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
    Subject code 370
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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