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  1. Buch: Taiwan niao lei cai se tu jian

    Chang, Wan-fu / Lin, Baoshi

    1999  

    Titelvarianten Field guide to the birds of Taiwan
    Verfasserangabe Zhang Wanfu zhu ; Lin Baoshi ... [et al.] hui tu = A field guide to the birds of Taiwan / text by James Wanfu Zhang, illustrations by Pau-hse Lin ... [et al.]
    Schlagwörter Birds
    Sprache Chinesisch ; Englisch
    Umfang viii, 345 p. :, ill. (some col.), maps (some col.) ;, 22 cm.
    Ausgabenhinweis Zeng ding zai ban ben.
    Verlag Zhong Tai ke xue ji shu chu ban she
    Erscheinungsort Taizhong Shi
    Dokumenttyp Buch
    Anmerkung Chinese and English. ; Accompanied by a bird watchers handbook.
    ISBN 9578737017 ; 9789578737013
    Datenquelle NAL Katalog (AGRICOLA)

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  2. Buch: Ming shi lu lei zuan

    Li, Guoxiang / Yang, Chang / Fu, Yuzhang

    an hui shi liao juan

    1994  

    Verfasserangabe Li guo xiang, yang chang zhu bian; fu yu zhang [and others] bian
    Schlagwörter Anhui Sheng (China) ; China
    Sprache Chinesisch
    Umfang 8, 3, 1293 p, 21 cm
    Ausgabenhinweis Di 1 ban
    Verlag Wu han chu ban she
    Erscheinungsort Wu han
    Dokumenttyp Buch
    ISBN 7543011530 ; 9787543011533
    Datenquelle Ehemaliges Sondersammelgebiet Küsten- und Hochseefischerei

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  3. Buch: Bei lei biao zhun hua sheng chan ji shu

    Fu, Huiguang

    (Nong chan pin biao zhun hua sheng chan ji shu cong shu)

    2003  

    Titelvarianten Bei lei
    Verfasserangabe Fu Huiguang ... [et al.] bian zhu
    Serientitel Nong chan pin biao zhun hua sheng chan ji shu cong shu
    Schlagwörter Shellfish fisheries/Standards ; Mollusks.
    Sprache Chinesisch
    Umfang 5, 2, 192 p. :, ill. ;, 21 cm.
    Ausgabenhinweis Di 1 ban.
    Verlag Zhongguo nong ye da xue chu ban she
    Erscheinungsort Beijing Shi
    Dokumenttyp Buch
    ISBN 7810666002 ; 9787810666008
    Datenquelle NAL Katalog (AGRICOLA)

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  4. Buch: Chung-kuo chu lei chih wu tʻu chih

    Chu, Shih-lin / Ma, Nai-hsün / Fu, Mao-i

    1994  

    Verfasserangabe Chu Shih-lin, Ma Nai-hsün, Fu Mao-i chu pien
    Schlagwörter Bamboo/Classification/Pictorial works.
    Sprache Chinesisch ; Latein
    Umfang 244 p. :, col. ill. ;, 30 cm.
    Ausgabenhinweis 1 pan.
    Verlag Chung-kuo lin yeh chʻu pan she
    Erscheinungsort Pei-ching
    Dokumenttyp Buch
    Anmerkung Nomenclature also in Latin.
    ISBN 7503813199 ; 9787503813191
    Datenquelle NAL Katalog (AGRICOLA)

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  5. Buch: T'ai-wan niao-lei ts'ai se t'u chien

    Chang, Wan-fu

    1980  

    Verfasserangabe Chang Wan-fu chu ; Lin Pao-shih, Huang Yü-hsiu hui t'u = A field guide to the birds of Taiwan / writing by James Wan-fu Chang ; illustrations by Pau-hse Lin & Yu-hsio Huang
    Schlagwörter Birds
    Sprache Chinesisch ; Englisch
    Umfang viii, 324 p. :, col. ill., maps ;, 22 cm.
    Ausgabenhinweis Ch'u pan
    Verlag Ch'in ying t'u shu yu hsien kung ssu
    Erscheinungsort T'ai-chung shih
    Dokumenttyp Buch
    Anmerkung Accompanied by a bird watchers handbook. ; Chinese and English.
    Datenquelle NAL Katalog (AGRICOLA)

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  6. Buch: Chung-kuo chi feng fen lei kang yao

    Chao, Hsiu-fu

    1976  

    Titelübersetzung Outline of the classification of bees in China.
    Verfasserangabe Chao Hsiu-fu pien chu. --
    Schlagwörter Ichneumonidae. ; Bees
    Sprache Chinesisch
    Umfang iii, 413 p. :, ill.
    Verlag K'o hsüeh ch'u pan she
    Erscheinungsort Pei-ching
    Dokumenttyp Buch
    Anmerkung Includes index.
    Datenquelle NAL Katalog (AGRICOLA)

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  7. Artikel ; Online: Corrigendum to "Methods of study on conformation of polysaccharides from natural products: A review" [Int. J. Biol. Macromol. 263 (Part 1) (April 2024) 130275].

    Fu, You-Li / Shi, Lei

    International journal of biological macromolecules

    2024  Band 272, Heft Pt 1, Seite(n) 132850

    Sprache Englisch
    Erscheinungsdatum 2024-06-04
    Erscheinungsland Netherlands
    Dokumenttyp Published Erratum
    ZDB-ID 282732-3
    ISSN 1879-0003 ; 0141-8130
    ISSN (online) 1879-0003
    ISSN 0141-8130
    DOI 10.1016/j.ijbiomac.2024.132850
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  8. Artikel ; Online: Methods of study on conformation of polysaccharides from natural products: A review.

    Fu, You-Li / Shi, Lei

    International journal of biological macromolecules

    2024  Band 263, Heft Pt 1, Seite(n) 130275

    Abstract: Polysaccharides from natural products play multiple roles and have extensive bioactivities in life process. Bioactivities of polysaccharides (e.g., Lentinan, Schizophyllan, Scleroglucan, Curdlan, Cinerean) have a close relation to their chain ... ...

    Abstract Polysaccharides from natural products play multiple roles and have extensive bioactivities in life process. Bioactivities of polysaccharides (e.g., Lentinan, Schizophyllan, Scleroglucan, Curdlan, Cinerean) have a close relation to their chain conformation. Compared to other types of polysaccharides, the conformation of β-glucan has been studied more. The major research methods of conformation of polysaccharides from natural products (Congo red experiment, circular dichroism spectrum, viscosity method, light scattering method, size exclusion chromatography, atomic force microscope), corresponding experimental schemes, and the external factors affecting polysaccharide conformation were reviewed in this paper. These research methods of conformation have been widely used, among which Congo red experiment and viscosity method are the most convenient ones to study the morphological changes of polysaccharide chains.
    Mesh-Begriff(e) Biological Products ; Congo Red ; Molecular Conformation ; Lentinan/chemistry ; Polysaccharides/chemistry ; Carbohydrate Conformation
    Chemische Substanzen Biological Products ; Congo Red (3U05FHG59S) ; Lentinan (37339-90-5) ; Polysaccharides
    Sprache Englisch
    Erscheinungsdatum 2024-02-17
    Erscheinungsland Netherlands
    Dokumenttyp Journal Article ; Review
    ZDB-ID 282732-3
    ISSN 1879-0003 ; 0141-8130
    ISSN (online) 1879-0003
    ISSN 0141-8130
    DOI 10.1016/j.ijbiomac.2024.130275
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  9. Artikel ; Online: How to choose a design thinking method for teaching the design of localization: A two-dimension linguistic fuzzy model with two-tuples.

    Fu, You-Lei / Zheng, Linxin / Liang, Kuei-Chia / Dai, Ruoqi

    PloS one

    2024  Band 19, Heft 5, Seite(n) e0300505

    Abstract: There are many different types of scientific design thinking methods, but it is necessary to evaluate the applicability of the methods to the components of the design teaching curriculum in universities. Therefore, this study assesses the applicability ... ...

    Abstract There are many different types of scientific design thinking methods, but it is necessary to evaluate the applicability of the methods to the components of the design teaching curriculum in universities. Therefore, this study assesses the applicability of design thinking in terms of "design practice" and "locality" based on the local design education philosophy and the characteristics of the students and courses. A two-dimensional linguistic fuzzy model with two-tuples was proposed, and the assessment values of 36 experts were statistically analysed using the Delphi, triangular fuzzy number, Euclidean distance, two-dimension linguistic label (2DLL), and two-dimensional linguistic weighted arithmetic aggregation (2DLWAA) methods. The results highlighted the 12 categories of design thinking methods that are most applicable to teaching and learning, indicating the basic views of university design faculty on the application of design thinking methods. Finally, the new design teaching methods have been validated and constructed through years of teaching practice, and have some reference value for teaching design courses in universities.
    Mesh-Begriff(e) Humans ; Fuzzy Logic ; Linguistics ; Thinking ; Teaching ; Universities ; Curriculum ; Models, Theoretical
    Sprache Englisch
    Erscheinungsdatum 2024-05-30
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0300505
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  10. Artikel ; Online: ResNet and its application to medical image processing: Research progress and challenges.

    Xu, Wanni / Fu, You-Lei / Zhu, Dongmei

    Computer methods and programs in biomedicine

    2023  Band 240, Seite(n) 107660

    Abstract: Background and objective: Deep learning, a novel approach and subset of machine learning, has drawn a growing amount of attention from computer vision researchers in recent years. This method has drawn a lot of interest because of its extraordinary ... ...

    Abstract Background and objective: Deep learning, a novel approach and subset of machine learning, has drawn a growing amount of attention from computer vision researchers in recent years. This method has drawn a lot of interest because of its extraordinary ability to interpret medical pictures, especially when combined with residual neural networks, which have helped to progress the field.
    Methods: In this paper, the following research is carried out on the residual network. First, the research status of ResNet in the medical field is introduced. The fundamental idea behind the residual neural network is then explained, along with the residual unit, its many structures, and the network architecture. Second, four aspects of the widespread use of residual neural networks in medical image processing are discussed: lung tumor, diagnosis of skin diseases, diagnosis of breast diseases, and diagnosis of diseases of the brain. Finally, the main issues and ResNet's future development in the area of processing medical images are discussed.
    Results: In the area of medical graph processing, residual neural networks have made strides and have had success in the clinical auxiliary diagnosis of serious illnesses such as lung tumors, breast cancer, skin conditions, and cardiovascular and cerebrovascular diseases.
    Conclusion: We thoroughly sorted out the most recent developments in residual neural network research and their use in medical image processing, which serves as a crucial point of reference for this field of study. It offers a helpful reference for further promoting the application and research of the ResNet model in the field of medical image processing by summarising the application status and issues of the ResNet model in the field of medical image processing and putting forwards some future development directions.
    Mesh-Begriff(e) Humans ; Female ; Neural Networks, Computer ; Machine Learning ; Breast Neoplasms ; Diagnosis, Computer-Assisted/methods ; Image Processing, Computer-Assisted/methods ; Lung Neoplasms/diagnostic imaging
    Sprache Englisch
    Erscheinungsdatum 2023-06-08
    Erscheinungsland Ireland
    Dokumenttyp Journal Article
    ZDB-ID 632564-6
    ISSN 1872-7565 ; 0169-2607
    ISSN (online) 1872-7565
    ISSN 0169-2607
    DOI 10.1016/j.cmpb.2023.107660
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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