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  1. Article: Investigating the Influence of Impurity Defects on the Adsorption Behavior of Hydrated Sc

    Wang, Kaiyu / Zhao, Zilong / Wu, Guoyuan / Jiang, Dengbang / Lan, Yaozhong

    Materials (Basel, Switzerland)

    2024  Volume 17, Issue 3

    Abstract: In natural kaolinite lattices, Al3+ can potentially be substituted by cations such as Mg2+, Ca2+, and Fe3+, thereby influencing its adsorption characteristics towards rare earth elements like Sc3+. Density functional theory (DFT) has emerged as a crucial ...

    Abstract In natural kaolinite lattices, Al3+ can potentially be substituted by cations such as Mg2+, Ca2+, and Fe3+, thereby influencing its adsorption characteristics towards rare earth elements like Sc3+. Density functional theory (DFT) has emerged as a crucial tool in the study of adsorption phenomena, particularly for understanding the complex interactions of rare earth elements with clay minerals. This study employed DFT to investigate the impact of these three dopant elements on the adsorption of hydrated Sc3+ on the kaolinite (001) Al-OH surface. We discerned that the optimal adsorption configuration for hydrated Sc3+ is Sc(H2O)83+, with a preference for adsorption at the deprotonated O
    Language English
    Publishing date 2024-01-26
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma17030610
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Study on the adsorption of Zn(II) and Cu(II) in acid mine drainage by fly ash loaded nano-FeS.

    Guo, Xuying / Fu, Honglei / Gao, Xinle / Zhao, Zilong / Hu, Zhiyong

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 9927

    Abstract: Aiming at the acid mine drainage (AMD) in zinc, copper and other heavy metals treatment difficulties, severe pollution of soil and water environment and other problems. Through the ultrasonic precipitation method, this study prepared fly ash-loaded nano- ... ...

    Abstract Aiming at the acid mine drainage (AMD) in zinc, copper and other heavy metals treatment difficulties, severe pollution of soil and water environment and other problems. Through the ultrasonic precipitation method, this study prepared fly ash-loaded nano-FeS composites (nFeS-F). The effects of nFeS-F dosage, pH, stirring rate, reaction time and initial concentration of the solution on the adsorption of Zn(II) and Cu(II) were investigated. The data were fitted by Lagergren first and second-order kinetic equations, Internal diffusion equation, Langmuir and Freundlich isotherm models, and combined with SEM, TEM, FTIR, TGA, and XPS assays to reveal the mechanism of nFeS-F adsorption of Zn(II) and Cu(II). The results demonstrated that: The removal of Zn(II) and Cu(II) by nFeS-F could reach 83.36% and 70.40%, respectively (The dosage was 8 g/L, pH was 4, time was 150 min, and concentration was 100 mg/L). The adsorption process, mainly chemical adsorption, conforms to the Lagergren second-order kinetic equation (R
    Language English
    Publishing date 2024-04-30
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-58815-z
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  3. Article: Editorial: Molecular and nanoscale engineering of nucleic acid theranostics and vaccines.

    Tan, Xiaohong / Zhao, Zilong / Wang, Ruowen / Zhu, Guizhi

    Frontiers in bioengineering and biotechnology

    2023  Volume 10, Page(s) 1126876

    Language English
    Publishing date 2023-01-05
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2719493-0
    ISSN 2296-4185
    ISSN 2296-4185
    DOI 10.3389/fbioe.2022.1126876
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  4. Article ; Online: Green biomanufacturing in recombinant collagen biosynthesis: trends and selection in various expression systems.

    Zhao, Zilong / Deng, Jianjun / Fan, Daidi

    Biomaterials science

    2023  Volume 11, Issue 16, Page(s) 5439–5461

    Abstract: Collagen, classically derived from animal tissue, is an all-important protein material widely used in biomedical materials, cosmetics, fodder, food, ...

    Abstract Collagen, classically derived from animal tissue, is an all-important protein material widely used in biomedical materials, cosmetics, fodder, food,
    MeSH term(s) Animals ; Humans ; Recombinant Proteins ; Collagen ; Biocompatible Materials ; Biomedical Engineering ; Antigens ; Mammals/metabolism
    Chemical Substances Recombinant Proteins ; Collagen (9007-34-5) ; Biocompatible Materials ; Antigens
    Language English
    Publishing date 2023-08-08
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2693928-9
    ISSN 2047-4849 ; 2047-4830
    ISSN (online) 2047-4849
    ISSN 2047-4830
    DOI 10.1039/d3bm00724c
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  5. Article ; Online: Scoparone attenuates glioma progression and improves the toxicity of temozolomide by suppressing RhoA/ROCK1 signaling.

    Zhou, Yuhao / Han, Zhenying / Zhao, Zilong / Zhang, Jianning

    Environmental toxicology

    2023  Volume 39, Issue 2, Page(s) 562–571

    Abstract: Background: Glioma, a type of malignant brain tumor, has become a challenging health issue globally in recent years.: Methods: In this study, we investigated the potential therapeutic role of scoparone in glioma and the underlying mechanism. ... ...

    Abstract Background: Glioma, a type of malignant brain tumor, has become a challenging health issue globally in recent years.
    Methods: In this study, we investigated the potential therapeutic role of scoparone in glioma and the underlying mechanism. Initially, transcriptome sequencing was conducted to identify genes that exhibited differential expression in glioma cells treated with scoparone compared to untreated cells. Subsequently, the impact of scoparone on the proliferation, migration, and invasion of glioma cells was assessed in vitro using a range of assays including cell viability, colony formation, wound healing, and transwell assays. Moreover, the apoptotic effects of scoparone on glioma cells were evaluated through flow cytometry and western blot analysis. Furthermore, we established a glioma xenograft mouse model to assess the in vivo antitumor activity of scoparone. Lastly, by integrating transcriptome analysis, we endeavored to unravel the molecular mechanisms underlying the observed antitumor effects of scoparone by examining the expression levels of RhoA/ROCK1 signaling pathway components using western blot analysis and qRT-PCR.
    Results: Our transcriptome sequencing results revealed that scoparone significantly downregulated RhoA/ROCK1 signaling in glioma cells. Furthermore, scoparone treatment inhibited glioma cell proliferation, migration, and invasion, and promoted cell apoptosis in vitro. Moreover, scoparone reduced tumor growth and prolonged survival in a glioma xenograft mouse model, and improved the toxicity of temozolomide. Finally, our results showed that the antitumor effects of scoparone were mediated by the suppression of RhoA/ROCK1 signaling.
    Conclusion: Scoparone could be a promising therapeutic agent for glioma by suppressing RhoA/ROCK1 signaling. These findings pave the way for future research endeavors aimed at the development and optimization of scoparone-based therapeutic strategies.
    MeSH term(s) Animals ; Humans ; Mice ; Apoptosis ; Cell Line, Tumor ; Cell Movement ; Cell Proliferation ; Glioma/genetics ; rho-Associated Kinases/metabolism ; Signal Transduction ; Temozolomide/pharmacology ; Temozolomide/therapeutic use ; Coumarins/pharmacology ; Coumarins/therapeutic use
    Chemical Substances rho-Associated Kinases (EC 2.7.11.1) ; ROCK1 protein, human (EC 2.7.11.1) ; scoparone (H5841PDT4Y) ; Temozolomide (YF1K15M17Y) ; Coumarins
    Language English
    Publishing date 2023-07-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1463449-1
    ISSN 1522-7278 ; 1520-4081
    ISSN (online) 1522-7278
    ISSN 1520-4081
    DOI 10.1002/tox.23882
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2676: 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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  6. Article ; Online: CTAB-GAN+: enhancing tabular data synthesis.

    Zhao, Zilong / Kunar, Aditya / Birke, Robert / Van der Scheer, Hiek / Chen, Lydia Y

    Frontiers in big data

    2024  Volume 6, Page(s) 1296508

    Abstract: The usage of synthetic data is gaining momentum in part due to the unavailability of original data due to privacy and legal considerations and in part due to its utility as an augmentation to the authentic data. Generative adversarial networks (GANs), a ... ...

    Abstract The usage of synthetic data is gaining momentum in part due to the unavailability of original data due to privacy and legal considerations and in part due to its utility as an augmentation to the authentic data. Generative adversarial networks (GANs), a paragon of generative models, initially for images and subsequently for tabular data, has contributed many of the state-of-the-art synthesizers. As GANs improve, the synthesized data increasingly resemble the real data risking to leak privacy. Differential privacy (DP) provides theoretical guarantees on privacy loss but degrades data utility. Striking the best trade-off remains yet a challenging research question. In this study, we propose CTAB-GAN+ a novel conditional tabular GAN. CTAB-GAN+ improves upon state-of-the-art by (i) adding downstream losses to conditional GAN for higher utility synthetic data in both classification and regression domains; (ii) using Wasserstein loss with gradient penalty for better training convergence; (iii) introducing novel encoders targeting mixed continuous-categorical variables and variables with unbalanced or skewed data; and (iv) training with DP stochastic gradient descent to impose strict privacy guarantees. We extensively evaluate CTAB-GAN+ on statistical similarity and machine learning utility against state-of-the-art tabular GANs. The results show that CTAB-GAN+ synthesizes privacy-preserving data with at least 21.9% higher machine learning utility (i.e., F1-Score) across multiple datasets and learning tasks under given privacy budget.
    Language English
    Publishing date 2024-01-08
    Publishing country Switzerland
    Document type Journal Article
    ISSN 2624-909X
    ISSN (online) 2624-909X
    DOI 10.3389/fdata.2023.1296508
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  7. Article: Editorial: Brain injury associated secondary injury and remote organ injury.

    Tang, Lujia / Shi, Kaibin / Zhang, Yanjun / Fu, Ying / Gao, Jie / Zhao, Zilong

    Frontiers in neuroscience

    2024  Volume 18, Page(s) 1398800

    Language English
    Publishing date 2024-04-02
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2411902-7
    ISSN 1662-453X ; 1662-4548
    ISSN (online) 1662-453X
    ISSN 1662-4548
    DOI 10.3389/fnins.2024.1398800
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  8. Article ; Online: Physicochemical and Antibacterial Evaluation of TiO

    Lai, Huansheng / Zhao, Zilong / Yu, Wenhe / Lin, Yuan / Feng, Zhiyuan

    Molecules (Basel, Switzerland)

    2023  Volume 28, Issue 7

    Abstract: ... ...

    Abstract TiO
    Language English
    Publishing date 2023-04-03
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules28073190
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    In stock of ZB MED Cologne/Königswinter

    Zs.MO 81: Show issues

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  9. Article: Adsorption of Sc on the Surface of Kaolinite (001): A Density Functional Theory Study.

    Zhao, Zilong / Wang, Kaiyu / Wu, Guoyuan / Jiang, Dengbang / Lan, Yaozhong

    Materials (Basel, Switzerland)

    2023  Volume 16, Issue 15

    Abstract: The adsorption behavior of Sc on the surface of kaolinite (001) was investigated using the density functional theory via the generalized gradient approximation plane-wave pseudopotential method. The highest coordination numbers of hydrated Sc3+, ScOH2+, ... ...

    Abstract The adsorption behavior of Sc on the surface of kaolinite (001) was investigated using the density functional theory via the generalized gradient approximation plane-wave pseudopotential method. The highest coordination numbers of hydrated Sc3+, ScOH2+, and ScOH2 + species are eight, six, and five, respectively. The adsorption model was based on ScOH2H2O5+, which has the most stable ionic configuration in the liquid phase. According to the adsorption energy and bonding mechanism, the adsorption of Sc ionic species can be categorized into outer layer and inner layer adsorptions. We found that the hydrated Sc ions were mainly adsorbed on the outer layer of the kaolinite (001)Al-OH and (00-1)Si-O surfaces through hydrogen bonding while also being adsorbed on the inner layer of the deprotonated kaolinite (001)Al-OH surface through coordination bonding. The inner layer adsorption has three adsorption configurations, with the lying hydroxyl group (O
    Language English
    Publishing date 2023-07-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma16155349
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  10. Book ; Online: TabuLa

    Zhao, Zilong / Birke, Robert / Chen, Lydia

    Harnessing Language Models for Tabular Data Synthesis

    2023  

    Abstract: Given the ubiquitous use of tabular data in industries and the growing concerns in data privacy and security, tabular data synthesis emerges as a critical research area. The recent state-of-the-art methods show that large language models (LLMs) can be ... ...

    Abstract Given the ubiquitous use of tabular data in industries and the growing concerns in data privacy and security, tabular data synthesis emerges as a critical research area. The recent state-of-the-art methods show that large language models (LLMs) can be adopted to generate realistic tabular data. As LLMs pre-process tabular data as full text, they have the advantage of avoiding the curse of dimensionality associated with one-hot encoding high-dimensional data. However, their long training time and limited re-usability on new tasks prevent them from replacing exiting tabular generative models. In this paper, we propose Tabula, a tabular data synthesizer based on the language model structure. Through Tabula, we demonstrate the inherent limitation of employing pre-trained language models designed for natural language processing (NLP) in the context of tabular data synthesis. Our investigation delves into the development of a dedicated foundational model tailored specifically for tabular data synthesis. Additionally, we propose a token sequence compression strategy to significantly reduce training time while preserving the quality of synthetic data. Extensive experiments on six datasets demonstrate that using a language model structure without loading the well-trained model weights yields a better starting model for tabular data synthesis. Moreover, the Tabula model, previously trained on other tabular data, serves as an excellent foundation model for new tabular data synthesis tasks. Additionally, the token sequence compression method substantially reduces the model's training time. Results show that Tabula averagely reduces 46.2% training time per epoch comparing to current LLMs-based state-of-the-art algorithm and consistently achieves even higher synthetic data utility.
    Keywords Computer Science - Machine Learning
    Subject code 004
    Publishing date 2023-10-19
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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