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  1. Article ; Online: SecBERT: Privacy-preserving pre-training based neural network inference system.

    Huang, Hai / Wang, Yongjian

    Neural networks : the official journal of the International Neural Network Society

    2024  Volume 172, Page(s) 106135

    Abstract: Pre-trained models such as BERT have made great achievements in natural language processing tasks in recent years. In this paper, we investigate the privacy-preserving pre-training based neural network inference in a two-server framework based on ... ...

    Abstract Pre-trained models such as BERT have made great achievements in natural language processing tasks in recent years. In this paper, we investigate the privacy-preserving pre-training based neural network inference in a two-server framework based on additive secret sharing technique. Our protocol allows a resource-restrained client to request two powerful servers to cooperatively process the natural processing tasks without revealing any useful information about its data. We first design a series of secure sub-protocols for non-linear functions used in BERT model. These sub-protocols are expected to have broad applications and of independent interest. Based on the building sub-protocols, we propose SecBERT, a privacy-preserving pre-training based neural network inference protocol. SecBERT is the first cryptographically secure privacy-preserving pre-training based neural network inference protocol. We show security, efficiency and accuracy of SecBERT protocol through comprehensive theoretical analysis and experiments.
    MeSH term(s) Humans ; Privacy ; Computer Security ; Neural Networks, Computer
    Language English
    Publishing date 2024-01-17
    Publishing country United States
    Document type Journal Article
    ZDB-ID 740542-x
    ISSN 1879-2782 ; 0893-6080
    ISSN (online) 1879-2782
    ISSN 0893-6080
    DOI 10.1016/j.neunet.2024.106135
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2365: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  2. Book ; Thesis: Lack of hepatic arterial perfusion is associated with impairment of spontaneous recovery from hepatic venous focal outflow obstruction

    Huang, Hai

    2009  

    Author's details pres. by Hai Huang
    Language English
    Size 107 Bl. : Ill., graph. Darst.
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Duisburg, Essen, Univ., Diss., 2010
    HBZ-ID HT017022593
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    2010 E 2529

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  3. Article: Expanding horizons in overcoming therapeutic resistance in castration-resistant prostate cancer: targeting the androgen receptor-regulated tumor immune microenvironment.

    Cheng, Bisheng / Huang, Hai

    Cancer biology & medicine

    2023  Volume 20, Issue 8

    MeSH term(s) Humans ; Male ; Receptors, Androgen/genetics ; Drug Resistance, Neoplasm ; Prostatic Neoplasms, Castration-Resistant/drug therapy ; Prostatic Neoplasms, Castration-Resistant/genetics ; Tumor Microenvironment
    Chemical Substances Receptors, Androgen
    Language English
    Publishing date 2023-08-30
    Publishing country China
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2676322-9
    ISSN 2095-3941
    ISSN 2095-3941
    DOI 10.20892/j.issn.2095-3941.2023.0256
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Bilateral synchronous double primary lung cancer: A case report.

    Li, Jun / Yin, Bo / Liu, Yong / Huang, Hai

    Clinical case reports

    2024  Volume 12, Issue 4, Page(s) e8635

    Abstract: Key clinical message: Bilateral synchronous double primary lung cancer (sDPLC) is a rare disease in clinics. This study analyzed the clinical data of a patient with bilateral sDPLC, aiming to improve medical workers' understanding of the disease and ... ...

    Abstract Key clinical message: Bilateral synchronous double primary lung cancer (sDPLC) is a rare disease in clinics. This study analyzed the clinical data of a patient with bilateral sDPLC, aiming to improve medical workers' understanding of the disease and avoid missed diagnosis and misdiagnosis.
    Abstract: A 68-year-old male was admitted to the hospital with "intermittent cough and expectoration for two months." Enhanced chest computed tomography (CT) showed that the upper lobe of the left lung had a mass of high-density shadow, bronchial opening of the left lobe was thickened, lumen was narrow, and middle lobe of the right lung had a mass of high-density shadow. Bronchoscopy was performed to observe the microscopic characteristics of the lesions in the upper lobe of the left lung, and abnormal mucosa was biopsied. The pathological and immunohistochemical results confirmed that it was small cell lung cancer (SCLC) in the upper lobe of the left lung. Considering the occupation of the middle lobe of the right lung, CT-guided lung biopsy was performed, and the pathological and immunohistochemical results confirmed that it was moderately differentiated squamous cell carcinoma (SCC) in the middle lobe of the right lung. Clinicians should strengthen their understanding of sDPLC and focus on the imaging characteristics of chest CT and performance under bronchoscopy. Additionally, it is necessary to perform both CT-guided lung biopsy and bronchoscopy to obtain histopathological findings for the diagnosis.
    Language English
    Publishing date 2024-04-02
    Publishing country England
    Document type Case Reports
    ZDB-ID 2740234-4
    ISSN 2050-0904
    ISSN 2050-0904
    DOI 10.1002/ccr3.8635
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: MUMA: a multi-omics meta-learning algorithm for data interpretation and classification.

    Huang, Hai-Hui / Shu, Jun / Liang, Yong

    IEEE journal of biomedical and health informatics

    2024  Volume PP

    Abstract: Multi-omics data integration is a promising field combining various types of omics data, such as genomics, transcriptomics, and proteomics, to comprehensively understand the molecular mechanisms underlying life and disease. However, the inherent noise, ... ...

    Abstract Multi-omics data integration is a promising field combining various types of omics data, such as genomics, transcriptomics, and proteomics, to comprehensively understand the molecular mechanisms underlying life and disease. However, the inherent noise, heterogeneity, and high dimensionality of multi-omics data present challenges for existing methods to extract meaningful biological information without overfitting. This paper introduces a novel Multi-Omics Meta-learning Algorithm (MUMA) that employs self-adaptive sample weighting and interaction-based regularization for enhanced diagnostic performance and interpretability in multi-omics data analysis. Specifically, MUMA captures crucial biological processes across different omics layers by learning a flexible sample reweighting function adaptable to various noise scenarios. Additionally, MUMA incorporates an interaction-based regularization term, encouraging the model to learn from the relationships among different omics modalities. We evaluate MUMA using simulations and eighteen real datasets, demonstrating its superior performance compared to state-of-the-art methods in classifying biological samples (e.g., cancer subtypes) and selecting relevant biomarkers from noisy multi-omics data. As a powerful tool for multi-omics data integration, MUMA can assist researchers in achieving a deeper understanding of the biological systems involved. The source code for MUMA is available at https://github.com/bio-ai-source/MUMA.
    Language English
    Publishing date 2024-02-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2695320-1
    ISSN 2168-2208 ; 2168-2194
    ISSN (online) 2168-2208
    ISSN 2168-2194
    DOI 10.1109/JBHI.2024.3363081
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5483: Show issues Location:
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    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
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  6. Article ; Online: Regulatory T cell: a double-edged sword from metabolic-dysfunction-associated steatohepatitis to hepatocellular carcinoma.

    Wang, Han / Tsung, Allan / Mishra, Lopa / Huang, Hai

    EBioMedicine

    2024  Volume 101, Page(s) 105031

    Abstract: Metabolic-dysfunction-associated steatotic liver disease (MASLD) is becoming a leading cause of end-stage liver disease globally. Metabolic-dysfunction-associated steatohepatitis (MASH) represents a progressive inflammatory manifestation of MASLD. MASH ... ...

    Abstract Metabolic-dysfunction-associated steatotic liver disease (MASLD) is becoming a leading cause of end-stage liver disease globally. Metabolic-dysfunction-associated steatohepatitis (MASH) represents a progressive inflammatory manifestation of MASLD. MASH underlies a versatile and dynamic inflammatory microenvironment, accompanied by aberrant metabolism and ongoing liver regeneration, establishing itself as a significant risk factor for hepatocellular carcinoma (HCC). The mechanisms underlying the escape and survival of malignant cells within the extensive inflammatory microenvironment of MASH remain elusive. Regulatory T cells (Tregs) play a crucial role in maintaining homeostasis and preventing excessive immune responses in the liver. Paradoxically, Tregs have been implicated in inhibiting tumour-promoting inflammation and facilitating the evasion of cancer cells. Recent studies have unveiled distinct behaviours of Tregs at different stages of MASLD, suggesting a dual role in the pathogenesis. In this review, we explore the fate of Tregs from MASLD to HCC, offering recent insights into potential targets for clinical intervention.
    MeSH term(s) Humans ; Carcinoma, Hepatocellular/etiology ; T-Lymphocytes, Regulatory ; Liver Neoplasms/etiology ; Fatty Liver ; Tumor Microenvironment
    Language English
    Publishing date 2024-02-23
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 2851331-9
    ISSN 2352-3964
    ISSN (online) 2352-3964
    DOI 10.1016/j.ebiom.2024.105031
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 7090: Show issues Location:
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  7. Article ; Online: Modal displacement analyses of Lamb waves in micro/nano-plates based on the consistent couple stress theory.

    Huang, Hai / Guan, Wei / He, Xiao

    Ultrasonics

    2024  Volume 138, Page(s) 107272

    Abstract: In micro-scale structures, the influence of scale effects on the mechanical properties cannot be ignored, and the continuum mechanics theory cannot effectively describe guided wave propagation. This paper studies modal displacements in an isotropic micro/ ...

    Abstract In micro-scale structures, the influence of scale effects on the mechanical properties cannot be ignored, and the continuum mechanics theory cannot effectively describe guided wave propagation. This paper studies modal displacements in an isotropic micro/nano-scale plate - an essential factor for the mode selection of Lamb waves in non-destructive testing technology. To achieve this, the consistent couple stress theory, which additionally accounts for the impact of scale effects on wave propagation, has to be employed. A mathematical derivation method with singular value decomposition is proposed, and the excitation amplitude is computed by applying a normal stress source to evaluate the in-plane and out-of-plane displacements. The results indicate that the in-plane displacement vanishes on the plate surface for anti-symmetric modes when the phase velocity equals the velocity of shear waves. Moreover, the intersections of symmetric and anti-symmetric dispersion curves identify specific frequencies at which the out-of-plane displacement vanishes on the free surface. These findings highlight the difference in modal displacement characteristics between micro-scale and macro-scale structures. The results from this study may furnish theoretical guidance for ultrasonic non-destructive testing of microstructures.
    Language English
    Publishing date 2024-02-18
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 200839-7
    ISSN 1874-9968 ; 0041-624X
    ISSN (online) 1874-9968
    ISSN 0041-624X
    DOI 10.1016/j.ultras.2024.107272
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 1133: Show issues Location:
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  8. Book ; Online ; E-Book: Healing orchids

    Huang, Hai / Soh, Shan Bin

    2020  

    Keywords Electronic books
    Language English
    Size 1 Online-Ressource (xiv, 135 Seiten), Illustrationen
    Publisher World Scientific Publishing
    Publishing place Singapore
    Publishing country Singapore
    Document type Book ; Online ; E-Book
    Note Description based on publisher supplied metadata and other sources
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT020329432
    ISBN 978-981-12-0530-9 ; 9789811205293 ; 9789811206443 ; 981-12-0530-2 ; 9811205299 ; 9811206449
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

    Full text online

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    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  9. Book: Acupuncture

    Huang, Hai

    theories and evidence

    2013  

    Author's details ed. Hong Hai
    Keywords Acupuncture
    Language English
    Size XXII, 178 S. : Ill.
    Publisher World Scientific
    Publishing place New Jersey u.a.
    Publishing country United States
    Document type Book
    Note Includes bibliographical references and index
    HBZ-ID HT017629621
    ISBN 978-981-4452-01-4 ; 981-4452-01-7
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    2013 A 1189

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  10. Article: How Flow Experience and Self-Efficacy Define Students' Online Learning Intentions: View From Task Technology Fit (Framework).

    Huang, Hai / Wang, Yong

    Frontiers in psychology

    2022  Volume 13, Page(s) 835328

    Abstract: The ongoing pandemic has transformed communication modes globally. Especially in the case of higher education, where countermeasures against coronavirus disease 2019 (COVID-19) have affected students' learning experience. This study emphasized the case ... ...

    Abstract The ongoing pandemic has transformed communication modes globally. Especially in the case of higher education, where countermeasures against coronavirus disease 2019 (COVID-19) have affected students' learning experience. This study emphasized the case of business simulation games, where critical factors were underlined to define learners' intention to use an online learning environment through the lens of task technology fit (TTF) as a theoretical stance. This study considered the statistical analysis of 523 students who attended the business simulation module online at the tertiary level of education. Findings conclude that flow experience is the most critical factor to define learners' perceived TTF in the case of an online learning experience. However, the learners' self-efficacy is significant enough to map learners' intentions to use an online environment for learning. The study discussed several theoretical and practical implications for learners' educators and policymakers.
    Language English
    Publishing date 2022-03-15
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2022.835328
    Database MEDical Literature Analysis and Retrieval System OnLINE

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