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  1. Article ; Online: Controlling Nucleation and Crystallization of CsPbI

    Yang, Man / Mo, Kangwei / Zhu, Xueliang / Liu, Yong / Yan, Ning / Wang, Zhiping

    Small (Weinheim an der Bergstrasse, Germany)

    2024  , Page(s) e2310749

    Abstract: The unfavorable morphology and high crystallization temperature ( ... ...

    Abstract The unfavorable morphology and high crystallization temperature (T
    Language English
    Publishing date 2024-02-02
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2168935-0
    ISSN 1613-6829 ; 1613-6810
    ISSN (online) 1613-6829
    ISSN 1613-6810
    DOI 10.1002/smll.202310749
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: ZMIZ1 Regulates Proliferation, Autophagy and Apoptosis of Colon Cancer Cells by Mediating Ubiquitin-Proteasome Degradation of SIRT1.

    Huang, Min / Wang, Junfeng / Zhang, Zhengrong / Zuo, Xueliang

    Biochemical genetics

    2024  

    Abstract: There are nearly 1.15 million new cases of colon cancer, as well as 586,858 deaths from colon cancer worldwide in 2020. The aim of this study is to reveal whether ZMIZ1 can control the fate of colon cancer cells and the mechanism by which it functions. ... ...

    Abstract There are nearly 1.15 million new cases of colon cancer, as well as 586,858 deaths from colon cancer worldwide in 2020. The aim of this study is to reveal whether ZMIZ1 can control the fate of colon cancer cells and the mechanism by which it functions. Specific shRNA transfection was used to knock down the expression of ZMIZ1 in colon cancer cell lines (HCT116 and HT29), and cell proliferation was detected using EdU and CCK-8 reagents, apoptosis by flow cytometry, and autophagy by western blot. The interaction of ZMIZ1 and SIRT1 was analyzed. Knockdown of ZMIZ1 significantly inhibited autophagy and proliferation, and induced apoptosis of HCT116 and HT29 cells. The mRNA level of SIRT1 was not affected by ZMIZ1 knockdown, but the protein level of SIRT1 was significantly decreased and the protein level of the SIRT1-specific substrate, acetylated FOXO3a, was reduced. Immunoprecipitation assays identified the interaction between SIRT1 and ZMIZ1 in HCT116 and HT29 cells. ZMIZ1 increased intracellular ubiquitination of SIRT1. Knockdown or pharmacological inhibition of SIRT1 neutralized the effects of ZMIZ knockdown on proliferation, autophagy and apoptosis in HCT116 and HT29 cells. ZMIZ1 may control the fate of colon cancer cells through the SIRT1/FOXO3a axis. Targeting ZMIZ1 would be beneficial for the treatment of colon cancer.
    Language English
    Publishing date 2024-01-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2168-4
    ISSN 1573-4927 ; 0006-2928
    ISSN (online) 1573-4927
    ISSN 0006-2928
    DOI 10.1007/s10528-023-10573-9
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 578: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (1.OG)
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  3. Article ; Online: The Seal Performance of Compliant Foil Gas Seal Based on Multi-Scale Analysis

    Xueliang Wang / Meihong Liu

    Processes, Vol 10, Iss 1123, p

    2022  Volume 1123

    Abstract: Compliant foil gas seal is a non-contact and high-efficiency sealing technology. The dynamic performance of compliant foil gas seal with different structure parameters was analyzed in this paper. These parameters include the seal diameter, gas film ... ...

    Abstract Compliant foil gas seal is a non-contact and high-efficiency sealing technology. The dynamic performance of compliant foil gas seal with different structure parameters was analyzed in this paper. These parameters include the seal diameter, gas film thickness and the ratio of groove. Compared with the rigid film, the advantage of compliant film is analyzed. The stability performance and dynamic performance with the different structures are obtained. The results show that the larger diameter is a disadvantage for the stability performance. However, the increase of seal length can decrease the leakage. Otherwise, the increase of gas thickness improves the dynamic characteristics with the leakage rising and gas force dramatically decreasing. While the groove length ratio is around 0.6, the seal performance and dynamic characteristics are best. The compliant structure benefits the improvement of the sealing performance.
    Keywords compliant foil gas seal ; multi-scale analysis ; seal performance ; T groove ; Chemical technology ; TP1-1185 ; Chemistry ; QD1-999
    Subject code 621
    Language English
    Publishing date 2022-06-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Application of the "Hand as Foot" analogy teaching method in parathyroid position variation.

    Wang, Xueliang / Wang, Xia / Liu, Rui

    Asian journal of surgery

    2022  Volume 45, Issue 4, Page(s) 1031–1032

    MeSH term(s) Foot ; Hand/surgery ; Humans ; Lower Extremity ; Upper Extremity
    Language English
    Publishing date 2022-02-17
    Publishing country China
    Document type Letter
    ZDB-ID 1068461-x
    ISSN 0219-3108 ; 1015-9584
    ISSN (online) 0219-3108
    ISSN 1015-9584
    DOI 10.1016/j.asjsur.2022.01.019
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    In stock of ZB MED Cologne/Königswinter

    Zs.B 2831: Show issues Location:
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  5. Article ; Online: Direct and noninvasive fluorescence analysis of an RNA-protein interaction based on a CRISPR/Cas12a-powered assay.

    Wang, Xueliang / Jing, Shaozhen / Wang, Wanhe / Wang, Jing

    Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy

    2023  Volume 299, Page(s) 122884

    Abstract: RNA-protein interactions (RPIs) play critical roles in gene transcription and protein expression, but current analytical methods for RPIs are mainly performed in an invasive manner, involving special RNA/protein labeling, hampering access to intact and ... ...

    Abstract RNA-protein interactions (RPIs) play critical roles in gene transcription and protein expression, but current analytical methods for RPIs are mainly performed in an invasive manner, involving special RNA/protein labeling, hampering access to intact and precise information on RPIs. In this work, we present the first CRISPR/Cas12a-based fluorescence assay for the direct analysis of RPIs without RNA/protein labeling steps. Select vascular endothelial growth factor 165 (VEGF
    MeSH term(s) Aptamers, Nucleotide ; CRISPR-Cas Systems/genetics ; Vascular Endothelial Growth Factor A/genetics ; Biological Assay ; RNA ; Biosensing Techniques
    Chemical Substances Aptamers, Nucleotide ; Vascular Endothelial Growth Factor A ; RNA (63231-63-0)
    Language English
    Publishing date 2023-05-18
    Publishing country England
    Document type Journal Article
    ZDB-ID 210413-1
    ISSN 1873-3557 ; 0370-8322 ; 0584-8539 ; 1386-1425
    ISSN (online) 1873-3557
    ISSN 0370-8322 ; 0584-8539 ; 1386-1425
    DOI 10.1016/j.saa.2023.122884
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    In stock of ZB MED Bonn / Germany

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  6. Article ; Online: DBMF

    Xueliang Wang / Honge Ren

    Forests, Vol 13, Iss 33, p

    A Novel Method for Tree Species Fusion Classification Based on Multi-Source Images

    2022  Volume 33

    Abstract: Multi-source data remote sensing provides innovative technical support for tree species recognition. Tree species recognition is relatively poor despite noteworthy advancements in image fusion methods because the features from multi-source data for each ... ...

    Abstract Multi-source data remote sensing provides innovative technical support for tree species recognition. Tree species recognition is relatively poor despite noteworthy advancements in image fusion methods because the features from multi-source data for each pixel in the same region cannot be deeply exploited. In the present paper, a novel deep learning approach for hyperspectral imagery is proposed to improve accuracy for the classification of tree species. The proposed method, named the double branch multi-source fusion (DBMF) method, could more deeply determine the relationship between multi-source data and provide more effective information. The DBMF method does this by fusing spectral features extracted from a hyperspectral image (HSI) captured by the HJ-1A satellite and spatial features extracted from a multispectral image (MSI) captured by the Sentinel-2 satellite. The network has two branches in the spatial branch to avoid the risk of information loss, of which, sandglass blocks are embedded into a convolutional neural network (CNN) to extract the corresponding spatial neighborhood features from the MSI. Simultaneously, to make the useful spectral feature transfer more effective in the spectral branch, we employed bidirectional long short-term memory (Bi-LSTM) with a triple attention mechanism to extract the spectral features of each pixel in the HSI with low resolution. The feature information is fused to classify the tree species after the addition of a fusion activation function, which could allow the network to obtain more interactive information. Finally, the fusion strategy allows for the prediction of the full classification map of three study areas. Experimental results on a multi-source dataset show that DBMF has a significant advantage over other state-of-the-art frameworks.
    Keywords tree species classification ; deep learning fusion method ; multi-source images classification ; Plant ecology ; QK900-989
    Subject code 571
    Language English
    Publishing date 2022-12-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Mild γ-Butyrolactone/Water Pretreatment for Highly Efficient Sugar Production from Corn Stover.

    Yang, Yu / Ma, Xueliang / Wang, Manzhu / Ji, Xinyi / Li, Long / Liu, Ziyu / Wang, Jiangyao / Ren, Yujin / Jia, Lili

    Applied biochemistry and biotechnology

    2024  

    Abstract: In this study, γ-butyrolactone/water (GBL/ ... ...

    Abstract In this study, γ-butyrolactone/water (GBL/H
    Language English
    Publishing date 2024-04-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 392344-7
    ISSN 1559-0291 ; 0273-2289
    ISSN (online) 1559-0291
    ISSN 0273-2289
    DOI 10.1007/s12010-024-04922-6
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3053: 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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  8. Article ; Online: Development of a physiologically based pharmacokinetic model for levetiracetam in patients with renal impairment to guide dose adjustment based on steady-state peak/trough concentrations.

    Wang, Rongrong / Wang, Tianlin / Han, Xueliang / Chen, Mengli / Li, Shu

    Xenobiotica; the fate of foreign compounds in biological systems

    2024  Volume 54, Issue 3, Page(s) 116–123

    Abstract: Levetiracetam may cause acute renal failure and myoclonic encephalopathy at high plasma levels, particularly in patients with renal impairment. The aim of this study was to develop a physiologically based pharmacokinetic (PBPK) model to predict ... ...

    Abstract Levetiracetam may cause acute renal failure and myoclonic encephalopathy at high plasma levels, particularly in patients with renal impairment. The aim of this study was to develop a physiologically based pharmacokinetic (PBPK) model to predict levetiracetam pharmacokinetics in Chinese adults with epilepsy and renal impairment and define appropriate levetiracetam dosing regimen.PBPK models for healthy subjects and epilepsy patients with renal impairment were developed, validated, and adapted. Furthermore, we predicted the steady-state trough and peak concentrations of levetiracetam in patients with renal impairment using the final PBPK model, thereby recommending appropriate levetiracetam dosing regimens for different renal function stages. The predicted maximum plasma concentration (Cmax), time to maximum concentration (Tmax), area under the plasma concentration-time curve (AUC) were in agreement (0.8 ≤ fold error ≤ 1.2) with the observed, and the fold error of the trough concentrations in end-stage renal disease (ESRD) was 0.77 - 1.22. The prediction simulations indicated that the recommended doses of 1000, 750, 500, and 500 mg twice daily for epilepsy patients with mild, moderate, severe renal impairment, and ESRD, respectively, were sufficient to achieve the target plasma concentration of levetiracetam.
    MeSH term(s) Adult ; Humans ; Levetiracetam ; Epilepsy/drug therapy ; Kidney Failure, Chronic ; Kidney Function Tests ; Area Under Curve ; Models, Biological
    Chemical Substances Levetiracetam (44YRR34555)
    Language English
    Publishing date 2024-02-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 120287-x
    ISSN 1366-5928 ; 0049-8254
    ISSN (online) 1366-5928
    ISSN 0049-8254
    DOI 10.1080/00498254.2024.2317888
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 782: 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)
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  9. Article ; Online: Distribution rules of conflict events and management countermeasures of large-scale construction engineering projects

    Wang Yi / Hou Yiru / Hou Xueliang

    SHS Web of Conferences, Vol 166, p

    2023  Volume 01016

    Abstract: The processes of large-scale construction projects implementation are often affected with various internal and external factors, which result in various conflict events in different stages of the project, and bring different degrees of harm to the ... ...

    Abstract The processes of large-scale construction projects implementation are often affected with various internal and external factors, which result in various conflict events in different stages of the project, and bring different degrees of harm to the construction project. In order to understand and master the distribution rules of various conflict events in different stages in large-scale construction projects, a massive investigation was carried out on 96 large-scale engineering construction units in China, and 325 effective research samples were obtained. Based on this investigation results, the mathematical analysis and summary of the conflict events of large construction engineering projects have been made by multiple statistical analyses, which reveal the distribution law and the primary and secondary relationship of various conflict events in each stage of engineering projects. Combined with the research results, the management countermeasures and suggestions of conflict events are put forward, which provide valuable references for the project managers to effectively manage the conflict events and improve the management level of engineering projects.
    Keywords Social Sciences ; H
    Subject code 690
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Semi-Supervised Tree Species Classification for Multi-Source Remote Sensing Images Based on a Graph Convolutional Neural Network

    Xueliang Wang / Jian Wang / Zuozheng Lian / Nan Yang

    Forests, Vol 14, Iss 1211, p

    2023  Volume 1211

    Abstract: As a current research hotspot, graph convolution networks (GCNs) have provided new opportunities for tree species classification in multi-source remote sensing images. To solve the challenge of limited label information, a new tree species classification ...

    Abstract As a current research hotspot, graph convolution networks (GCNs) have provided new opportunities for tree species classification in multi-source remote sensing images. To solve the challenge of limited label information, a new tree species classification model was proposed by using the semi-supervised graph convolution fusion method for hyperspectral images (HSIs) and multispectral images (MSIs). In the model, the graph-based attribute features and pixel-based features are fused to deepen the correlation of multi-source images to improve accuracy. Firstly, the model employs the canonical correlation analysis (CCA) method to maximize the correlation of multi-source images, which explores the relationship between information from various sources further and offers more valuable insights. Secondly, convolution calculations were made to extract features and then map graph node fusion, which not only reduces redundancy features but also enhances compelling features. Finally, the relationship between representative descriptors is captured through the use of hyperedge convolution in the training process, and the dominant features on the graph are fully mined. The tree species are classified through two fusion feature operations, leading to improved classification performance compared to state-of-the-art methods. The fusion strategy can produce a complete classification map of the study areas.
    Keywords hypergraph convolution ; data fusion ; classification of tree species ; Plant ecology ; QK900-989
    Subject code 571 ; 006
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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