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  1. Book: Tai wan dian ying bai nian shi hua

    Huang, Ren / Wang, Wei

    (Dian ying shi yan jiu cong shu ; 電影史研究叢書)

    2004  

    Author's details Huang ren, wang wei bian zhu; wang qing hua ... [et al.] zhuan shu wei yuan
    Series title Dian ying shi yan jiu cong shu
    電影史研究叢書
    Language Chinese
    Size 595 S., ill
    Edition Chu ban
    Publisher Zhong hua ying ping ren xie hui
    Publishing place Tai bei
    Document type Book
    Database Former special subject collection: coastal and deep sea fishing

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  2. Book: Tai wan dian ying bai nian shi hua

    Huang, Ren / Wang, Wei

    (Dian ying shi yan jiu cong shu ; 電影史研究叢書)

    2004  

    Author's details Huang ren, wang wei bian zhu; wang qing hua ... [et al.] zhuan shu wei yuan
    Series title Dian ying shi yan jiu cong shu
    電影史研究叢書
    Language Chinese
    Size 580 S., ill
    Edition Chu ban
    Publisher Zhong hua ying ping ren xie hui
    Publishing place Tai bei
    Document type Book
    Database Former special subject collection: coastal and deep sea fishing

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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.

  3. Book: Tai wan dian ying bai nian shi hua

    Huang, Ren / Wang, Wei

    (Dian ying shi yan jiu cong shu ; 電影史研究叢書)

    2004  

    Title variant Title on cover also in English: One hundred years of Taiwan cinema ; One hundred years of Taiwan cinema
    Author's details Huang ren, wang wei bian zhu; wang qing hua ... [et al.] zhuan shu wei yuan
    Series title Dian ying shi yan jiu cong shu
    電影史研究叢書
    Keywords Motion picture industry/History ; Motion pictures/History
    Language Chinese
    Size 2 v. (595, 580 p.), ill. (some col.), 22 cm
    Edition Chu ban
    Publisher Zhong hua ying ping ren xie hui
    Publishing place Tai bei
    Document type Book
    Database Former special subject collection: coastal and deep sea fishing

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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.

  4. Article: Assessing the intention to accept inquiry-based teaching pedagogy among Chinese university students: an extension of technology acceptance model.

    Hu, San-Gen / Wang, Wan-Ying / Wang, Xiao-Xia / Yin, Ying-Mei

    Frontiers in psychology

    2024  Volume 15, Page(s) 1265047

    Abstract: Introduction: Due to the limitations of traditional didactic teaching, inquiry-based teaching has attracted increasing attention and has become an important content of curriculum teaching reform in college education. Nevertheless, it is vital to ... ...

    Abstract Introduction: Due to the limitations of traditional didactic teaching, inquiry-based teaching has attracted increasing attention and has become an important content of curriculum teaching reform in college education. Nevertheless, it is vital to investigate students' subjective acceptance of inquiry-based instruction and its influencing factors before inquiry-based teaching methods are widely implemented.
    Methods: In light of this, taking into account the psychological factors of students, an acceptance model of inquiry-based teaching pedagogy was established based on the extended technology acceptance model (TAM). Three additional variables, namely self-efficacy, implementation quality, and risk perception, were incorporated into the TAM. Firstly, subjective evaluation data of the influencing factors of inquiry teaching acceptance were obtained through a network questionnaire survey from university students in Guangdong, China, using snowball sampling and convenient sampling. A total of 485 valid questionnaires were retrieved, with an effective response rate of 88.2%. Then, internal consistency and reliability, convergent validity and discriminant validity of the model and its hypothesis were tested with reliability and validity tests. Finally, path analysis was used to examine key determinants of students' acceptance of inquiry teaching and moderators.
    Results: Results indicated that the constructed model can explain the acceptability of inquiry teaching for college students by 88.6%; Attitude has a positive significant impact on behavioral intention; Perceived ease of use indirectly affects behavioral intention through perceived usefulness, while perceived usefulness indirectly affects behavioral intention through attitude; self-efficacy not only directly affects behavioral intention but also indirectly affects behavioral intention through implementation quality; implementation quality indirectly affects behavioral intention through perceived usefulness and attitude; students' risk perception of inquiry-based teaching has no negative impact on behavioral intention.
    Conclusion: Overall, this study has implications for policymakers, teachers or learners in terms of the implementation and promotion of inquiry-based teaching in college classroom.
    Language English
    Publishing date 2024-01-23
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2024.1265047
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Valve positions upon which cardiac surgeons operate should be taken into consideration.

    Wang, Tsu-Hsien / Kang, Yi-No / Lin, Wan-Ying / Chi, Kuan-Yu

    Canadian journal of surgery. Journal canadien de chirurgie

    2023  Volume 66, Issue 5, Page(s) E472–E473

    MeSH term(s) Humans ; Surgeons ; Cardiac Surgical Procedures ; Heart Valves/surgery
    Language English
    Publishing date 2023-09-06
    Publishing country Canada
    Document type Letter
    ZDB-ID 410651-9
    ISSN 1488-2310 ; 0008-428X
    ISSN (online) 1488-2310
    ISSN 0008-428X
    DOI 10.1503/cjs.010122-l
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 221: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  6. Article: Integrating Artificial Intelligence for Advancing Multiple-Cancer Early Detection via Serum Biomarkers: A Narrative Review.

    Wang, Hsin-Yao / Lin, Wan-Ying / Zhou, Chenfei / Yang, Zih-Ang / Kalpana, Sriram / Lebowitz, Michael S

    Cancers

    2024  Volume 16, Issue 5

    Abstract: The concept and policies of multicancer early detection (MCED) have gained significant attention from governments worldwide in recent years. In the era of burgeoning artificial intelligence (AI) technology, the integration of MCED with AI has become a ... ...

    Abstract The concept and policies of multicancer early detection (MCED) have gained significant attention from governments worldwide in recent years. In the era of burgeoning artificial intelligence (AI) technology, the integration of MCED with AI has become a prevailing trend, giving rise to a plethora of MCED AI products. However, due to the heterogeneity of both the detection targets and the AI technologies, the overall diversity of MCED AI products remains considerable. The types of detection targets encompass protein biomarkers, cell-free DNA, or combinations of these biomarkers. In the development of AI models, different model training approaches are employed, including datasets of case-control studies or real-world cancer screening datasets. Various validation techniques, such as cross-validation, location-wise validation, and time-wise validation, are used. All of the factors show significant impacts on the predictive efficacy of MCED AIs. After the completion of AI model development, deploying the MCED AIs in clinical practice presents numerous challenges, including presenting the predictive reports, identifying the potential locations and types of tumors, and addressing cancer-related information, such as clinical follow-up and treatment. This study reviews several mature MCED AI products currently available in the market, detecting their composing factors from serum biomarker detection, MCED AI training/validation, and the clinical application. This review illuminates the challenges encountered by existing MCED AI products across these stages, offering insights into the continued development and obstacles within the field of MCED AI.
    Language English
    Publishing date 2024-02-21
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2527080-1
    ISSN 2072-6694
    ISSN 2072-6694
    DOI 10.3390/cancers16050862
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Morphological and Ultrastructural Characterization of Antennal Sensilla and the Detection of Floral Scent Volatiles in

    Dong, Wan-Ying / Wang, Bing / Wang, Gui-Rong

    Frontiers in neuroanatomy

    2021  Volume 15, Page(s) 791900

    Abstract: The olfactory sensing system of the syrphid ... ...

    Abstract The olfactory sensing system of the syrphid fly
    Language English
    Publishing date 2021-12-16
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2452969-2
    ISSN 1662-5129
    ISSN 1662-5129
    DOI 10.3389/fnana.2021.791900
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Sinapic Acid Attenuates Chronic DSS-Induced Intestinal Fibrosis in C57BL/6J Mice by Modulating NLRP3 Inflammasome Activation and the Autophagy Pathway

    Wan-Ying Li / Jun-Yang Liu / Zi-Xian Wang / Ke-Ying Wang / Chun-Xiang Huang / Wen He / Jia-Le Song

    ACS Omega, Vol 9, Iss 1, Pp 1230-

    2023  Volume 1241

    Keywords Chemistry ; QD1-999
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher American Chemical Society
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  9. Article: Antibiotic Resistance Diagnosis in ESKAPE Pathogens-A Review on Proteomic Perspective.

    Kalpana, Sriram / Lin, Wan-Ying / Wang, Yu-Chiang / Fu, Yiwen / Lakshmi, Amrutha / Wang, Hsin-Yao

    Diagnostics (Basel, Switzerland)

    2023  Volume 13, Issue 6

    Abstract: Antibiotic resistance has emerged as an imminent pandemic. Rapid diagnostic assays distinguish bacterial infections from other diseases and aid antimicrobial stewardship, therapy optimization, and epidemiological surveillance. Traditional methods ... ...

    Abstract Antibiotic resistance has emerged as an imminent pandemic. Rapid diagnostic assays distinguish bacterial infections from other diseases and aid antimicrobial stewardship, therapy optimization, and epidemiological surveillance. Traditional methods typically have longer turn-around times for definitive results. On the other hand, proteomic studies have progressed constantly and improved both in qualitative and quantitative analysis. With a wide range of data sets made available in the public domain, the ability to interpret the data has considerably reduced the error rates. This review gives an insight on state-of-the-art proteomic techniques in diagnosing antibiotic resistance in ESKAPE pathogens with a future outlook for evading the "imminent pandemic".
    Language English
    Publishing date 2023-03-07
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2662336-5
    ISSN 2075-4418
    ISSN 2075-4418
    DOI 10.3390/diagnostics13061014
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Natural Microbial Reactor-Based Sensing Platform for Highly Sensitive Detection of Inorganic Arsenic in Rice Grains.

    Ge, Zhan-Biao / Chen, Ming-Ming / Xie, Wan-Ying / Huang, Ke / Zhao, Fang-Jie / Wang, Peng

    Analytical chemistry

    2023  Volume 95, Issue 30, Page(s) 11467–11474

    Abstract: Rice is a major dietary source of inorganic arsenic (iAs), a highly toxic arsenical that accumulates in rice and poses health risks to rice-based populations. However, the availability of detection methods for iAs in rice grains is limited. In this study, ...

    Abstract Rice is a major dietary source of inorganic arsenic (iAs), a highly toxic arsenical that accumulates in rice and poses health risks to rice-based populations. However, the availability of detection methods for iAs in rice grains is limited. In this study, we developed a novel approach utilizing a natural bacterial biosensor,
    MeSH term(s) Humans ; Infant ; Arsenic/analysis ; Oryza ; Food Contamination/analysis ; Reproducibility of Results ; Arsenicals/analysis
    Chemical Substances Arsenic (N712M78A8G) ; Arsenicals
    Language English
    Publishing date 2023-07-18
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1508-8
    ISSN 1520-6882 ; 0003-2700
    ISSN (online) 1520-6882
    ISSN 0003-2700
    DOI 10.1021/acs.analchem.3c01857
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 4033: 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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