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  1. AU="Wang, Guixuan"
  2. AU="Luga, Erion"
  3. AU=Patel Shilpan M AU=Patel Shilpan M
  4. AU="Cherniack, Ariella R"
  5. AU=Lai A C K
  6. AU="Cortrezzi, Sylvia"
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  13. AU=Aboubakr Hamada A AU=Aboubakr Hamada A
  14. AU="Daniela Brunner"
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  16. AU="Sagheb, K"
  17. AU="Vincent, B"
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  37. AU="Lanata, Claudio F"
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  40. AU="Deniskina, N."
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  42. AU="Stülke, Jörg"
  43. AU="Tran Kiem, Cécile"
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  1. Artikel ; Online: Simultaneous Rapid Detection of Multiple Physicochemical Properties of Jet Fuel Using Near-Infrared Spectroscopy.

    Li, Ke / Zhang, Xin / Zhang, Jing / Du, Biao / Song, Xiaoping / Wang, Guixuan / Li, Qi / Zhang, Yinglan / Liu, Fan / Zhang, Zhengdong

    ACS omega

    2024  Band 9, Heft 14, Seite(n) 16138–16146

    Abstract: Jet fuel is the primary fuel used in the aviation industry, and its quality has a direct impact on the safety and operational efficiency of aircraft. The accurate quantitative detection and analysis of various physicochemical property indicators are ... ...

    Abstract Jet fuel is the primary fuel used in the aviation industry, and its quality has a direct impact on the safety and operational efficiency of aircraft. The accurate quantitative detection and analysis of various physicochemical property indicators are important for improving and ensuring the quality of jet fuel in the domestic market. This study used near-infrared (NIR) spectroscopy to establish a suitable model for the simultaneous and rapid detection of multiple physicochemical properties in jet fuel. Using more than 40 different sources of jet fuel, a rapid detection model was established by optimizing the spectral processing methods. The measurement models were separately built using the partial least-squares (PLS) and orthogonal PLS algorithms, and the model parameters were optimized. The results show that after the Savitzky-Golay second derivative preprocessing, the PLS model built using the feature spectra selected by the uninformative variable elimination wavelength algorithm achieved the best measurement performance. Compared with the PLS model without preprocessing, the range of the resulting accuracy improvement was at least 15.01%. Under the optimal model parameters, the calibration set regression coefficient (
    Sprache Englisch
    Erscheinungsdatum 2024-03-28
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 2470-1343
    ISSN (online) 2470-1343
    DOI 10.1021/acsomega.3c09994
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: Accurate identification of methanol and ethanol gasoline types and rapid detection of the alcohol content using effective chemical information.

    Li, Ke / Ding, Chaomin / Zhang, Jin / Du, Biao / Song, Xiaoping / Wang, Guixuan / Li, Qi / Zhang, Yinglan / Zhang, Zhengdong

    Talanta

    2024  Band 274, Seite(n) 125961

    Abstract: Methanol and ethanol gasoline are two emerging clean energy sources with different characteristics. To achieve the qualitative identification and quantitative analysis of the alcohols present in methanol and ethanol gasoline, effective chemical ... ...

    Abstract Methanol and ethanol gasoline are two emerging clean energy sources with different characteristics. To achieve the qualitative identification and quantitative analysis of the alcohols present in methanol and ethanol gasoline, effective chemical information (ECI) models based on the characteristic spectral bands of the near-infrared (NIR) spectra of the methanol and ethanol molecules were developed using the partial least squares discriminant analysis (PLS-DA) and partial least squares (PLS) algorithms. The ECI model was further compared with models built from the full wavenumber (Full) spectra, variable importance in projection (VIP) spectra, and Monte Carlo uninformative variable elimination (MC-UVE) spectra to determine the predictive performance of ECI model. Among the various qualitative identification models, it was found that the ECI-PLS-DA model, which is built using the differences in molecular chemical information between methanol and ethanol, exhibited sensitivity, specificity and accuracy values of 100%. The ECI-PLS-DA model accurately identified methanol gasoline and ethanol gasoline with different contents. In the quantitative analysis model for methanol gasoline, the methanol gasoline and ethanol gasoline ECI-PLS models exhibited the smallest root mean squared error of predictions (RMSEP) of 0.18 and 0.21% (v/v), respectively, compared to the other models. Meanwhile, the F-test and T-test results revealed that the NIR method employing the ECI-PLS model showed no significant difference compared to the standard method. Compared with other spectral models examined herein, the ECI model demonstrated the highest recognition success and determination accuracy. This study therefore established a highly accurate and rapid determination model for the qualitative identification and quantitative analysis based on chemical structures. It is expected that this model could be extended to the NIR analysis of other physicochemical properties of fuel.
    Sprache Englisch
    Erscheinungsdatum 2024-03-27
    Erscheinungsland Netherlands
    Dokumenttyp Journal Article
    ZDB-ID 1500969-5
    ISSN 1873-3573 ; 0039-9140
    ISSN (online) 1873-3573
    ISSN 0039-9140
    DOI 10.1016/j.talanta.2024.125961
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

    Volltext online

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  3. Artikel: Gut Microbiota Alternation in Disease Progression of Neurosyphilis.

    Wang, Guixuan / Zou, Danyang / Lu, Xinying / Gu, Xin / Cheng, Yuanyuan / Qi, Tengfei / Cheng, Yanchun / Yu, Junjun / Ye, Meiping / Zhou, Pingyu

    Infection and drug resistance

    2022  Band 15, Seite(n) 6603–6612

    Abstract: Background: The gut microbiota plays an important role in the development of neurological disorders such as Parkinson's disease and Alzheimer's disease. However, studies on the gut microbiota of patients with neurosyphilis (NS) were rarely reported.: ... ...

    Abstract Background: The gut microbiota plays an important role in the development of neurological disorders such as Parkinson's disease and Alzheimer's disease. However, studies on the gut microbiota of patients with neurosyphilis (NS) were rarely reported.
    Methods: In this study, we collected fecal samples from 62 syphilis patients, including 39 with NS and 23 with non-NS. Among the NS patients, 18 were general paresis (GP). The white blood cell counts, protein concentrations, and Venereal Disease Research Laboratory test positive rates of cerebrospinal fluid from patients in NS or GP group were significantly higher than those from patients in non-NS group. 16S ribosomal RNA sequencing results revealed that the alpha and beta diversities of the gut microbiota were similar between NS and non-NS patients or GP and non-NS patients.
    Results: Linear discriminant analysis with effect size (LEfSe) analysis showed that some taxa, such as
    Conclusion: Our findings suggest that the alternation of the gut microbiota in NS patients may contribute to the course of NS, which will deepen our understanding of NS.
    Sprache Englisch
    Erscheinungsdatum 2022-11-14
    Erscheinungsland New Zealand
    Dokumenttyp Journal Article
    ZDB-ID 2494856-1
    ISSN 1178-6973
    ISSN 1178-6973
    DOI 10.2147/IDR.S389155
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel ; Online: Platelet Indices Are the Promising Biomarkers in Monitoring Disease Activities in Patients with Syphilis.

    Jiang, Nanyan / Ye, Meiping / Yan, Jingmin / Liao, Chunjie / Shang, Mengya / Wang, Guixuan / Peng, Ruirui / Wu, Juan / Qi, Tengfei / Ni, Liyan / Guan, Zhifang / Zhao, Wei / Zhou, Pingyu

    International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases

    2022  Band 118, Seite(n) 230–235

    Abstract: Objectives: To uncover the role of the platelet indices in patients with syphilis.: Methods: A total of 2061 patients with syphilis and 528 healthy controls were enrolled in this retrospective cohort study. The data of platelet count (PLT), mean ... ...

    Abstract Objectives: To uncover the role of the platelet indices in patients with syphilis.
    Methods: A total of 2061 patients with syphilis and 528 healthy controls were enrolled in this retrospective cohort study. The data of platelet count (PLT), mean platelet volume (MPV), platelet distribution width (PDW), and indicators of syphilis activities were collected. The correlations between the platelet indices and disease activities were analyzed.
    Results: A total of 425 (20.6%) of the 2061 patients were of primary and secondary syphilis, 433 (21.0%) latent, 463 (22.5%) serofast, 350 (17.0%) asymptomatic neurosyphilis, and 390 (18.9%) symptomatic neurosyphilis. Compared with the healthy controls, PLT was significantly increased in the primary and secondary syphilis group; whereas, MPV and PDW were significantly decreased in all stages of syphilis. These changes of platelet indices were reversed after anti-treponemal therapy. Further correlation analysis showed that PLT was positively associated with the syphilis activity indicators [rapid plasma reagin (RPR) titer, cerebrospinal fluid white blood cell (CSF-WBC), CSF-protein, and CSF-VDRL (venereal disease research laboratory)] and inflammatory markers [WBC, C-reaction protein (CRP), and erythrocyte sedimentation rate (ESR)]. Conversely, PDW was negatively correlated with all of these parameters. MPV had an inverse relationship with RPR, ESR, and CRP.
    Conclusions: Platelet indices are associated with syphilis activities.
    Mesh-Begriff(e) Biomarkers ; Humans ; Mean Platelet Volume ; Neurosyphilis/cerebrospinal fluid ; Retrospective Studies ; Syphilis/diagnosis ; Syphilis/drug therapy
    Chemische Substanzen Biomarkers
    Sprache Englisch
    Erscheinungsdatum 2022-03-14
    Erscheinungsland Canada
    Dokumenttyp Journal Article
    ZDB-ID 1331197-9
    ISSN 1878-3511 ; 1201-9712
    ISSN (online) 1878-3511
    ISSN 1201-9712
    DOI 10.1016/j.ijid.2022.03.014
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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    Verfügbar in ZB MED Köln/Königswinter

    Zs.A 4516: Hefte anzeigen Standort:
    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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  5. Buch: Härtbare nichtrostende PM-Stähle und Stahlverbunde mit hohem Stickstoffgehalt

    Wang, Guixuan

    (Fortschrittberichte VDI : Reihe 5, Grund- und Werkstoffe ; 277)

    1992  

    Titelvarianten PM-Stähle und Stahlverbunde
    Verfasserangabe Guixuan Wang
    Serientitel Fortschrittberichte VDI : Reihe 5, Grund- und Werkstoffe ; 277
    Schlagwörter Isostatisches Heißpressen ; Korrosionsbeständigkeit ; Verschleißfestigkeit ; Martensitischer Stahl ; Nitrierhärten
    Sprache Deutsch
    Umfang X, 177 S
    Verlag VDI-Verl
    Erscheinungsort Düsseldorf
    Dokumenttyp Buch
    ISBN 3181477052 ; 9783181477052
    Datenquelle Katalog der Technische Informationsbibliothek Hannover

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