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  1. AU=Zhang Boyan
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  38. AU="Coburn, Bryan A"
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  40. AU=Lubitz Steven A.
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  43. AU="Desmecht, Daniel"
  44. AU="Juškov, A. N"
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  46. AU="Afşin, Emine"
  47. AU="McLeod, Jonathan"
  48. AU=Srensen Morten Drby
  49. AU=de Noronha Lucia
  50. AU=Robinson Jennifer G
  51. AU=CHIACO JOHN MICHAEL S. CHUA
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  53. AU="Zhao, Andong"
  54. AU="Zhao, Tianshi"
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  1. Artikel ; Online: Pyrococcus furiosus

    Zhao, Yu / Zhang, Tiejun / Zhou, Changyu / Guo, Boyan / Wang, Hongning

    ACS synthetic biology

    2024  Band 13, Heft 4, Seite(n) 1323–1331

    Abstract: Porcine deltacoronavirus (PDCoV) is a major cause of diarrhea and diarrhea-related deaths among piglets and results in massive losses to the overall porcine industry. The clinical manifestations of porcine diarrhea brought on by the porcine epidemic ... ...

    Abstract Porcine deltacoronavirus (PDCoV) is a major cause of diarrhea and diarrhea-related deaths among piglets and results in massive losses to the overall porcine industry. The clinical manifestations of porcine diarrhea brought on by the porcine epidemic diarrhea virus (PEDV), porcine transmissible gastroenteritis virus (TGEV), and PDCoV are oddly similar to each other. Hence, the identification of different pathogens through molecular diagnosis and serological techniques is crucial. Three novel detection methods for identifying PDCoV have been developed utilizing recombinase-aided amplification (RAA) or reverse transcription recombinase-aided amplification (RT-RAA) in conjunction with
    Mesh-Begriff(e) Animals ; Swine ; Coronavirus Infections/diagnosis ; Coronavirus Infections/veterinary ; Pyrococcus furiosus/genetics ; Swine Diseases/diagnosis ; Swine Diseases/epidemiology ; Sensitivity and Specificity ; Porcine epidemic diarrhea virus ; Diarrhea/diagnosis ; Recombinases ; Deltacoronavirus
    Chemische Substanzen Recombinases
    Sprache Englisch
    Erscheinungsdatum 2024-04-03
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 2161-5063
    ISSN (online) 2161-5063
    DOI 10.1021/acssynbio.4c00045
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  2. Artikel ; Online: Experimental study on the aluminum aggregate property during the treatment of lightweight oil spills using electrocoagulation.

    Liu, Yang / Shao, Boyan / Jiang, Wenming / Zhang, Xue / Gao, Lujing / Han, Chenyu / Xiong, Wei

    Environmental technology

    2024  , Seite(n) 1–14

    Abstract: The properties of aggregates significantly affect the demulsification efficiency within the electrocoagulation reactor. This paper aims to explore aggregate properties including the particle size, strength factor ( ... ...

    Abstract The properties of aggregates significantly affect the demulsification efficiency within the electrocoagulation reactor. This paper aims to explore aggregate properties including the particle size, strength factor (F
    Sprache Englisch
    Erscheinungsdatum 2024-02-13
    Erscheinungsland England
    Dokumenttyp Journal Article
    ISSN 1479-487X
    ISSN (online) 1479-487X
    DOI 10.1080/09593330.2024.2315097
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  3. Artikel ; Online: Association analysis of hepatocellular carcinoma-related hub proteins and hub genes.

    Zhang, Xinhong / Zhang, Boyan / Zhang, Yawei / Zhang, Fan

    Proteomics. Clinical applications

    2023  Band 17, Heft 5, Seite(n) e2200090

    Abstract: Purpose: Hepatocellular carcinoma (HCC) is one of the most common cancers worldwide. The occurrence and development of HCC are closely related to epigenetic modifications. Epigenetic modifications can regulate gene expression and related functions ... ...

    Abstract Purpose: Hepatocellular carcinoma (HCC) is one of the most common cancers worldwide. The occurrence and development of HCC are closely related to epigenetic modifications. Epigenetic modifications can regulate gene expression and related functions through DNA methylation. This paper presents an association analysis method of HCC-related hub proteins and hub genes.
    Experimental design: Bioinformatics analysis of HCC-related DNA methylation data is carried out to clarify the molecular mechanism of HCC-related genes and to find hub genes (genes with more connections in the network) by constructing in the gene interaction network. This paper proposes an accurate prediction method of protein-protein interaction (PPI) based on deep learning model DeepSG2PPI. The trained DeepSG2PPI model predicts the interaction relationship between the synthetic proteins regulated by HCC-related genes.
    Results: This paper finds that four genes are the intersection of hub genes and hub proteins. The four genes are: FBL, CCNB2, ALDH18A1, and RPLP0. The association of RPLP0 gene with HCC is a new finding of this study. RPLP0 is expected to become a new biomarker for the treatment, diagnosis, and prognosis of HCC. The four proteins corresponding to the four genes are: ENSP00000221801, ENSP00000288207, ENSP00000360268, and ENSP00000449328.
    Conclusions and clinical relevance: The association between the hub genes with the hub proteins is analyzed. The mutual verification of the hub genes and the hub proteins can obtain more credible HCC-related genes and proteins, which is helpful for the diagnosis, treatment, and drug development of HCC.
    Mesh-Begriff(e) Humans ; Carcinoma, Hepatocellular/genetics ; Carcinoma, Hepatocellular/pathology ; Liver Neoplasms/genetics ; Liver Neoplasms/pathology ; Gene Expression Profiling ; Gene Regulatory Networks/genetics ; Prognosis ; Proteins/genetics ; Computational Biology/methods ; Gene Expression Regulation, Neoplastic/genetics
    Chemische Substanzen Proteins
    Sprache Englisch
    Erscheinungsdatum 2023-06-14
    Erscheinungsland Germany
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2261788-7
    ISSN 1862-8354 ; 1862-8346
    ISSN (online) 1862-8354
    ISSN 1862-8346
    DOI 10.1002/prca.202200090
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  4. Artikel ; Online: Characterizing Variances of Adulterated Extra Virgin Olive Oils by UV-Vis Spectroscopy Combined with Analysis of Variance-Projected Difference Resolution (ANOVA-PDR) and Multivariate Classification

    Boyan Gao / Jingyao Zhang / Weiying Lu

    Applied Sciences, Vol 13, Iss 4360, p

    2023  Band 4360

    Abstract: The analysis of variance-projected difference resolution (ANOVA-PDR) was proposed and compared with multivariate classification for its potential in detecting possible food adulteration in extra virgin olive oils (EVOOs) by UV-Vis spectra. Three factors ... ...

    Abstract The analysis of variance-projected difference resolution (ANOVA-PDR) was proposed and compared with multivariate classification for its potential in detecting possible food adulteration in extra virgin olive oils (EVOOs) by UV-Vis spectra. Three factors including origin, adulteration level, and adulteration type were systematically examined by the ANOVA-derived methods. The ANOVA-PDR quantitatively presented the separation of the internal classes according to the three main factors. Specifically, the average ANOVA-derived PDRs of the EVOO origination and adulteration level, respectively, is 4.01 and 1.78, while the conventional PDRs of the three factors are all less than 1.5. Furthermore, the partial least-squares-discriminant analysis (PLS-DA) and the PLS regression (PLSR) modeling with the selected sub-datasets from different origins were used to verify the results. The resulting models suggested that the three main factors and their interactions were all important sources of spectral variations.
    Schlagwörter ANOVA-PDR ; extra virgin olive oil adulteration ; UV-Vis spectroscopy ; partial least-squares ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Thema/Rubrik (Code) 519
    Sprache Englisch
    Erscheinungsdatum 2023-03-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  5. Artikel ; Online: Student-centered case-based teaching and online-offline case discussion in postgraduate courses of computer science.

    Zhang, Xinhong / Zhang, Boyan / Zhang, Fan

    International journal of educational technology in higher education

    2023  Band 20, Heft 1, Seite(n) 6

    Abstract: This study explores a student-centered teaching method in postgraduate courses. Teacher-centered classroom teaching cannot fully stimulate learning initiative and enthusiasm of students. Student-centered means that students actively learn and construct ... ...

    Abstract This study explores a student-centered teaching method in postgraduate courses. Teacher-centered classroom teaching cannot fully stimulate learning initiative and enthusiasm of students. Student-centered means that students actively learn and construct knowledge by participating in teaching activities. This study presents a student-centered online-offline hybrid teaching method, which adopts student-centered case-based teaching and online-offline case discussion in the postgraduate courses of computer science. The latest engineering cases are integrated into teaching and a case library is constructed. Taking the digital image processing course as an example, student-centered teaching allows students to choose what to learn and how to learn. Case-based teaching makes students better understand the application of theory of knowledge. It can introduce multiple perspectives, promote understanding and reflection on problems, and help students develop higher-level thinking, analysis, and synthesis skills. This study explores online-offline case discussion method in the student-centered teaching and proposes the principles of case design of postgraduate courses. Revised Bloom's taxonomy is used for teaching assessment. The actual teaching effect shows that student-centered case-based teaching and online-offline case discussion have achieved better teaching effect.
    Sprache Englisch
    Erscheinungsdatum 2023-01-31
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ISSN 2365-9440
    ISSN (online) 2365-9440
    DOI 10.1186/s41239-022-00374-2
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  6. Artikel ; Online: Stenosis Detection and Quantification of Coronary Artery Using Machine Learning and Deep Learning.

    Zhang, Xinhong / Zhang, Boyan / Zhang, Fan

    Angiology

    2023  Band 75, Heft 5, Seite(n) 405–416

    Abstract: The aim of this review is to introduce some applications of artificial intelligence (AI) algorithms for the detection and quantification of coronary stenosis using computed tomography angiography (CTA). The realization of automatic/semi-automatic ... ...

    Abstract The aim of this review is to introduce some applications of artificial intelligence (AI) algorithms for the detection and quantification of coronary stenosis using computed tomography angiography (CTA). The realization of automatic/semi-automatic stenosis detection and quantification includes the following steps: vessel central axis extraction, vessel segmentation, stenosis detection, and quantification. Many new AI techniques, such as machine learning and deep learning, have been widely used in medical image segmentation and stenosis detection. This review also summarizes the recent progress regarding coronary stenosis detection and quantification, and discusses the development trends in this field. Through evaluation and comparison, researchers can better understand the research frontier in related fields, compare the advantages and disadvantages of various methods, and better optimize the new technologies. Machine learning and deep learning will promote the process of automatic detection and quantification of coronary artery stenosis. However, the machine learning and the deep learning methods need a large amount of data, so they also face some challenges because of the lack of professional image annotations (manually add labels by experts).
    Mesh-Begriff(e) Humans ; Artificial Intelligence ; Deep Learning ; Constriction, Pathologic ; Coronary Vessels/diagnostic imaging ; Coronary Angiography/methods ; Machine Learning ; Coronary Stenosis/diagnostic imaging ; Algorithms
    Sprache Englisch
    Erscheinungsdatum 2023-07-03
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Review
    ZDB-ID 80040-5
    ISSN 1940-1574 ; 0003-3197
    ISSN (online) 1940-1574
    ISSN 0003-3197
    DOI 10.1177/00033197231187063
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    Ui IV Zs.61: Hefte anzeigen Standort:
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  7. Artikel ; Online: In Silico

    Zhang, Jin / Sun, Xinhao / Zhao, Hongwei / Zhou, Xu / Zhang, Yiling / Xie, Feng / Li, Boyan / Guo, Guo

    Journal of chemical information and modeling

    2024  

    Abstract: Antifungal peptides (AFPs) are emerging as promising candidates for advanced antifungal therapies because of their broad-spectrum efficacy and reduced resistance development. ...

    Abstract Antifungal peptides (AFPs) are emerging as promising candidates for advanced antifungal therapies because of their broad-spectrum efficacy and reduced resistance development.
    Sprache Englisch
    Erscheinungsdatum 2024-05-14
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 190019-5
    ISSN 1549-960X ; 0095-2338
    ISSN (online) 1549-960X
    ISSN 0095-2338
    DOI 10.1021/acs.jcim.4c00142
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    Zs.A 1230: Hefte anzeigen Standort:
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  8. Artikel ; Online: Non-local generative machine learning-based inverse design for scattering properties.

    Guo, Boyan / Deng, Li / Zhang, Hongtao

    Optics express

    2023  Band 31, Heft 13, Seite(n) 20872–20886

    Abstract: Metamaterials are created by arranging small scatterers in a regular array throughout a space to manipulate electromagnetic waves. However, current design methods view metasurfaces as independent meta-atoms, which limits the range of geometrical ... ...

    Abstract Metamaterials are created by arranging small scatterers in a regular array throughout a space to manipulate electromagnetic waves. However, current design methods view metasurfaces as independent meta-atoms, which limits the range of geometrical structures and materials used, and prevents the generation of arbitrary electric field distributions. To address this issue, we propose an inverse design method based on generative adversarial networks (GANs), which includes both a forward model and an inverse algorithm. The forward model utilizes dyadic Green's function to interpret the expression of non-local response, realizing the mapping from scattering properties to generated electric fields. The inverse algorithm innovatively transforms the scattering properties and electric fields into images and generates datasets with methods in computer vision (CV), proposing an architecture of GAN with ResBlock to achieve the design for the target electric field pattern. Our algorithm improves upon traditional methods, as it achieves greater time efficiency and generates higher quality electric fields. From a metamaterial perspective, our method can find optimal scattering properties for specific generated electric fields. Training results and extensive experiments demonstrate the algorithm's validity.
    Sprache Englisch
    Erscheinungsdatum 2023-06-28
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 1491859-6
    ISSN 1094-4087 ; 1094-4087
    ISSN (online) 1094-4087
    ISSN 1094-4087
    DOI 10.1364/OE.492361
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  9. Artikel ; Online: Human subcortical pathways automatically detect collision trajectory without attention and awareness

    Fanhua Guo / Jinyou Zou / Ye Wang / Boyan Fang / Huanfen Zhou / Dajiang Wang / Sheng He / Peng Zhang

    PLoS Biology, Vol 22, Iss

    2024  Band 1

    Schlagwörter Biology (General) ; QH301-705.5
    Sprache Englisch
    Erscheinungsdatum 2024-01-01T00:00:00Z
    Verlag Public Library of Science (PLoS)
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  10. Artikel ; Online: Distribution and protection of Thesium chinense Turcz. under climate and land use change.

    Zhang, Boyan / Chen, Bingrui / Zhou, Xinyu / Zou, Hui / Duan, Detai / Zhang, Xiyuan / Zhang, Xinxin

    Scientific reports

    2024  Band 14, Heft 1, Seite(n) 6475

    Abstract: Wild medicinal plants are prominent in the field of Traditional Chinese Medicine (TCM), but their availability is being impacted by human activities and ecological degradation in China. To ensure sustainable use of these resources, it is crucial to ... ...

    Abstract Wild medicinal plants are prominent in the field of Traditional Chinese Medicine (TCM), but their availability is being impacted by human activities and ecological degradation in China. To ensure sustainable use of these resources, it is crucial to scientifically plan areas for wild plant cultivation. Thesium chinense, a known plant antibiotic, has been overharvested in recent years, resulting in a sharp reduction in its wild resources. In this study, we employed three atmospheric circulation models and four socio-economic approaches (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5) to investigate the primary environmental factors influencing the distribution of T. chinense. We also examined changes in its suitable area using the Biomod2 package. Additionally, we utilized the PLUS model to project and analyze future land use changes in climate-stable regions for T. chinense. Our planning for wild tending areas of T. chinense was facilitated by the ZONATION software. Over the next century, the climate-stable regions for T. chinense in China is approximately 383.05 × 10
    Mesh-Begriff(e) Humans ; Plants, Medicinal ; Ecosystem ; Climate ; Medicine, Chinese Traditional ; Santalaceae ; Climate Change
    Sprache Englisch
    Erscheinungsdatum 2024-03-18
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-57125-8
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