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  1. Article ; Online: Quantum Simulation of the Shortcut to the Adiabatic Passage Using Nuclear Magnetic Resonance.

    Liu, Xin-Chang / Kong, Xiang-Yu

    Entropy (Basel, Switzerland)

    2023  Volume 25, Issue 7

    Abstract: Quantum adiabatic shortcut technology provides a technique to accelerate the quantum adiabatic process and has been widely used in various fields of quantum information processing. In this work, we proposed a two-level quantum shortcut adiabatic passage ... ...

    Abstract Quantum adiabatic shortcut technology provides a technique to accelerate the quantum adiabatic process and has been widely used in various fields of quantum information processing. In this work, we proposed a two-level quantum shortcut adiabatic passage model. Then, exploiting the nuclear magnetic resonance, we experimentally simulated the dynamics of quantum shortcut adiabatic passage using the water molecules.
    Language English
    Publishing date 2023-07-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2014734-X
    ISSN 1099-4300 ; 1099-4300
    ISSN (online) 1099-4300
    ISSN 1099-4300
    DOI 10.3390/e25071020
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  2. Article ; Online: Ion transport in nanofluidics under external fields.

    Liu, Pei / Kong, Xiang-Yu / Jiang, Lei / Wen, Liping

    Chemical Society reviews

    2024  Volume 53, Issue 6, Page(s) 2972–3001

    Abstract: Nanofluidic channels with tailored ion transport dynamics are usually used as channels for ion transport, to enable high-performance ion regulation behaviors. The rational construction of nanofluidics and the introduction of external fields are of vital ... ...

    Abstract Nanofluidic channels with tailored ion transport dynamics are usually used as channels for ion transport, to enable high-performance ion regulation behaviors. The rational construction of nanofluidics and the introduction of external fields are of vital significance to the advancement and development of these ion transport properties. Focusing on the recent advances of nanofluidics, in this review, various dimensional nanomaterials and their derived homogeneous/heterogeneous nanofluidics are first briefly introduced. Then we discuss the basic principles and properties of ion transport in nanofluidics. As the major part of this review, we focus on recent progress in ion transport in nanofluidics regulated by external physical fields (electric field, light, heat, pressure,
    Language English
    Publishing date 2024-03-18
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 1472875-8
    ISSN 1460-4744 ; 0306-0012
    ISSN (online) 1460-4744
    ISSN 0306-0012
    DOI 10.1039/d3cs00367a
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  3. Article ; Online: Black Rice Anthocyanins as An Effective Antioxidant of Inhibition of Oil Oxidative Based on Molecular Modification.

    Zhao, Yue / Kong, Xiangyu / Hu, Xiaoqian / Sun, Yang / Jiang, Ningning

    Journal of oleo science

    2024  Volume 73, Issue 5, Page(s) 657–664

    Abstract: This present work investigated the influence of black rice anthocyanins as antioxidants on the oxidation stability of oil. Malonic acid, succinic acid and succinic anhydride were grafted on black rice anthocyanins through acylation method to improve ... ...

    Abstract This present work investigated the influence of black rice anthocyanins as antioxidants on the oxidation stability of oil. Malonic acid, succinic acid and succinic anhydride were grafted on black rice anthocyanins through acylation method to improve their antioxidant activity in oil. The results from fourier transform infrared spectroscopy (FTIR) showed new absorption peaks near 1744 cm
    MeSH term(s) Anthocyanins/chemistry ; Anthocyanins/pharmacology ; Antioxidants/pharmacology ; Oxidation-Reduction ; Oryza/chemistry ; Acylation ; Plant Oils/chemistry ; Plant Oils/pharmacology ; Spectroscopy, Fourier Transform Infrared
    Chemical Substances Anthocyanins ; Antioxidants ; Plant Oils
    Language English
    Publishing date 2024-05-02
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 2218264-0
    ISSN 1347-3352 ; 1345-8957
    ISSN (online) 1347-3352
    ISSN 1345-8957
    DOI 10.5650/jos.ess23163
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  4. Article ; Online: Engineered bacterial outer membrane vesicles: a versatile bacteria-based weapon against gastrointestinal tumors.

    Zheng, Keshuang / Feng, Yongpu / Li, Lei / Kong, Fanyang / Gao, Jie / Kong, Xiangyu

    Theranostics

    2024  Volume 14, Issue 2, Page(s) 761–787

    Abstract: Outer membrane vesicles (OMVs) are nanoscale lipid bilayer structures released by gram-negative bacteria. They share membrane composition and properties with their originating cells, making them adept at traversing cellular barriers. These OMVs have ... ...

    Abstract Outer membrane vesicles (OMVs) are nanoscale lipid bilayer structures released by gram-negative bacteria. They share membrane composition and properties with their originating cells, making them adept at traversing cellular barriers. These OMVs have demonstrated exceptional membrane stability, immunogenicity, safety, penetration, and tumor-targeting properties, which have been leveraged in developing vaccines and drug delivery systems. Recent research efforts have focused on engineering OMVs to increase production yield, reduce cytotoxicity, and improve the safety and efficacy of treatment. Notably, gastrointestinal (GI) tumors have proven resistant to several traditional oncological treatment strategies, including chemotherapy, radiotherapy, and targeted therapy. Although immune checkpoint inhibitors have demonstrated efficacy in some patients, their usage as monotherapy remains limited by tumor heterogeneity and individual variability. The immunogenic and modifiable nature of OMVs makes them an ideal design platform for the individualized treatment of GI tumors. OMV-based therapy enables combination therapy and optimization of anti-tumor effects. This review comprehensively summarizes recent advances in OMV engineering for GI tumor therapy and discusses the challenges in the clinical translation of emerging OMV-based anti-tumor therapies.
    MeSH term(s) Humans ; Bacterial Outer Membrane ; Vaccines ; Bacteria ; Extracellular Vesicles ; Gastrointestinal Neoplasms/therapy ; Bacterial Outer Membrane Proteins
    Chemical Substances Vaccines ; Bacterial Outer Membrane Proteins
    Language English
    Publishing date 2024-01-01
    Publishing country Australia
    Document type Journal Article ; Review
    ZDB-ID 2592097-2
    ISSN 1838-7640 ; 1838-7640
    ISSN (online) 1838-7640
    ISSN 1838-7640
    DOI 10.7150/thno.85917
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  5. Article: Strategic bidding in a competitive electricity market: An intelligent method using Multi-Agent Transfer Learning based on reinforcement learning

    Wu, Jiahui / Wang, Jidong / Kong, Xiangyu

    Energy. 2022 Oct. 01, v. 256

    2022  

    Abstract: The electricity market will tend to be diverse and competitive to realize Carbon Neutrality goals under Energy Internet. Moreover, bidding strategies and methods are essential for the stable and benign operation of the electricity market. With the ... ...

    Abstract The electricity market will tend to be diverse and competitive to realize Carbon Neutrality goals under Energy Internet. Moreover, bidding strategies and methods are essential for the stable and benign operation of the electricity market. With the development of artificial intelligence and computer simulation technology, multi-agent simulation has gradually become a significant method for electricity market bidding. Among them, Multi-Agent Reinforcement Learning (MARL) can help agents adapt to changing environments. In contrast, Multi-Agent Transfer Learning (MATL) can help agents learn from not only the target task but also other similar tasks. This paper proposes an intelligent strategic bidding theoretical framework in a competitive electricity market using MATL based on MARL and studies four MATL algorithms, including RNN, LSTM, GRU and BGRU. An intelligent bidding simulation model based on the four MATL algorithms is established, and the performance of the intelligent bidding simulation model in the electricity market using the four MATL algorithms based on the MARL Q-learning algorithm is compared and analyzed from the perspective of accuracy and convergence speed. And based on the multi-agent simulation model, examples of bidding strategies are carried out to verify the rationality and effectiveness of the intelligent bidding method using MATL based on MARL.
    Keywords Internet ; algorithms ; artificial intelligence ; carbon ; computer simulation ; electricity ; energy ; markets ; simulation models
    Language English
    Dates of publication 2022-1001
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 2019804-8
    ISSN 0360-5442 ; 0360-5442
    ISSN (online) 0360-5442
    ISSN 0360-5442
    DOI 10.1016/j.energy.2022.124657
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  6. Article ; Online: A multicomponent propane monooxygenase catalyzes the initial degradation of methyl

    Chen, Yiyang / Ren, Hao / Kong, Xiangyu / Wu, Hao / Lu, Zhenmei

    Applied and environmental microbiology

    2023  Volume 89, Issue 10, Page(s) e0118723

    Abstract: ... ...

    Abstract Methyl
    MeSH term(s) Humans ; Mixed Function Oxygenases/metabolism ; Propane/metabolism ; Oxidation-Reduction ; Escherichia coli/genetics ; Escherichia coli/metabolism ; Iron ; Biodegradation, Environmental
    Chemical Substances Mixed Function Oxygenases (EC 1.-) ; Propane (T75W9911L6) ; methyl tert-butyl ether (29I4YB3S89) ; Iron (E1UOL152H7)
    Language English
    Publishing date 2023-10-12
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 223011-2
    ISSN 1098-5336 ; 0099-2240
    ISSN (online) 1098-5336
    ISSN 0099-2240
    DOI 10.1128/aem.01187-23
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 201: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  7. Article ; Online: Ribosomal RNA gene operon copy number, a functional trait indicating the hydrocarbon degradation level of bacterial communities.

    Lin, Renzhang / Wu, Hao / Kong, Xiangyu / Ren, Hao / Lu, Zhenmei

    Journal of hazardous materials

    2023  Volume 459, Page(s) 132100

    Abstract: The lack of universal indicators for predicting microbial biodegradation potential and assessing remediation effects limits the generalization of bioremediation. The community-level ribosomal RNA gene operon (rrn) copy number, an important functional ... ...

    Abstract The lack of universal indicators for predicting microbial biodegradation potential and assessing remediation effects limits the generalization of bioremediation. The community-level ribosomal RNA gene operon (rrn) copy number, an important functional trait, has the potential to serve as a key indicator of the bioremediation of organic pollutants. A meta-analysis based on 1275 samples from 26 hydrocarbon-related studies revealed a positive relationship between the microbial hydrocarbon biodegradation level and the community-level rrn copy number in soil, seawater and culture. Subsequently, a microcosm experiment was performed to decipher the community-level rrn copy number response mechanism during total petroleum hydrocarbon (TPH) biodegradation. The treatment combining straw with resuscitation-promoting factor (Rpf) exhibited the highest community-level rrn copy number and the most effective biodegradation compared with other treatments, and the initial TPH content (20,000 mg kg
    MeSH term(s) RNA, Ribosomal ; Genes, rRNA ; DNA Copy Number Variations ; Soil Pollutants/metabolism ; Bacteria/genetics ; Bacteria/metabolism ; Hydrocarbons/metabolism ; Biodegradation, Environmental ; Operon ; Petroleum/metabolism ; Soil Microbiology ; Soil/chemistry
    Chemical Substances RNA, Ribosomal ; Soil Pollutants ; Hydrocarbons ; Petroleum ; Soil
    Language English
    Publishing date 2023-07-20
    Publishing country Netherlands
    Document type Meta-Analysis ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1491302-1
    ISSN 1873-3336 ; 0304-3894
    ISSN (online) 1873-3336
    ISSN 0304-3894
    DOI 10.1016/j.jhazmat.2023.132100
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  8. Article ; Online: Refined peak shaving potential assessment and differentiated decision-making method for user load in virtual power plants

    Kong, Xiangyu / Wang, Zhengtao / Liu, Chao / Zhang, Delong / Gao, Hongchao

    Applied Energy. 2023 Mar., v. 334 p.120609-

    2023  

    Abstract: There is a consensus regarding the need to realize the transformation of renewable energy by enhancing demand-side regulating ability. This paper proposes a peak shaving potential assessment model based on the price elasticity mechanism and consumer ... ...

    Abstract There is a consensus regarding the need to realize the transformation of renewable energy by enhancing demand-side regulating ability. This paper proposes a peak shaving potential assessment model based on the price elasticity mechanism and consumer psychology, focusing on the adjustable user load in virtual power plants. The values of deterministic parameters and the distribution of the uncertain parameter of the model are obtained through the long short-term memory network (LSTM) and mixture density network (MDN). Then, the refined distribution of peak shaving potential considering external conditions, incentive inputs, and spatial and temporal scales is obtained. Based on the evaluation results, a peak shaving decision-making model for virtual power plants is constructed using a scenario scheme. Differentiated schemes for traditional, risk-averse, and risk-seeking virtual power plant decision-makers are considered. Case studies using the data of a virtual power plant pilot area show that the proposed model can better characterize the features of virtual power plant users, and a refined control strategy with better economic benefits can be obtained.
    Keywords decision making ; demand elasticities ; energy ; neural networks ; power plants ; renewable energy sources ; Virtual power plant ; Demand response potential assessment ; Control strategy ; Stochastic optimization
    Language English
    Dates of publication 2023-03
    Publishing place Elsevier Ltd
    Document type Article ; Online
    ZDB-ID 2000772-3
    ISSN 0306-2619
    ISSN 0306-2619
    DOI 10.1016/j.apenergy.2022.120609
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  9. Article: Discovery of Lipid Metabolism-Related Genes for Predicting Tumor Immune Microenvironment Status and Prognosis in Prostate Cancer.

    Zhang, Ying / Kong, Xiangyu / Xin, Shiyong / Bi, Liangkuan / Sun, Xianchao

    Journal of oncology

    2022  Volume 2022, Page(s) 8227806

    Abstract: Background: Reprogramming of lipid metabolism is closely associated with tumor development, serving as a common and critical metabolic feature that emerges during tumor evolution. Meanwhile, immune cells in the tumor microenvironment also undergo ... ...

    Abstract Background: Reprogramming of lipid metabolism is closely associated with tumor development, serving as a common and critical metabolic feature that emerges during tumor evolution. Meanwhile, immune cells in the tumor microenvironment also undergo aberrant lipid metabolism, and altered lipid metabolism also has an impact on the function and status of immune cells, further promoting malignant biological behavior. Consequently, we focused on lipid metabolism-related genes for constructing a novel prognostic marker and evaluating immune status in prostate cancer.
    Methods: Information about prostate cancer patients was obtained from TCGA and GEO databases. The NMF algorithm was conducted to identify the molecular subtypes. The least absolute shrinkage and selection operator (Lasso) regression analysis was applied to establish a prognostic risk signature. CIBERSORT algorithm was used to calculate immune cell infiltration levels in prostate cancer. External clinical validation data were used to validate the results.
    Results: Prostate cancer samples were divided into two subtypes according to the NMF algorithm. A six-gene risk signature (PTGS2, SGPP2, ALB, PLA2G2A, SRD5A2, and SLC2A4) was independent of prognosis and showed good stability. There were significant differences between risk groups of patients with respect to the infiltration of immune cells and clinical variables. Response to immunotherapy also differed between different risk groups. Furthermore, the mRNA expression levels of the signature genes were verified in tissue samples by qRT-PCR.
    Conclusion: We constructed a six-gene signature with lipid metabolism in prostate cancer to effectively predict prognosis and reflect immune microenvironment status.
    Language English
    Publishing date 2022-09-05
    Publishing country Egypt
    Document type Journal Article
    ZDB-ID 2461349-6
    ISSN 1687-8469 ; 1687-8450
    ISSN (online) 1687-8469
    ISSN 1687-8450
    DOI 10.1155/2022/8227806
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Adaptive method for image dynamic range adjustment and detail enhancement.

    Lang, Yi-Zheng / Qian, Yun-Sheng / Kong, Xiang-Yu / Zhang, Jing-Zhi

    Applied optics

    2022  Volume 61, Issue 21, Page(s) 6339–6348

    Abstract: Tone mapping operators (TMOs) aim to adjust high dynamic range (HDR) images to low dynamic range (LDR) ones so that they can be displayed on conventional devices with visual information retained. Nonetheless, existing TMOs can successfully tone-map only ... ...

    Abstract Tone mapping operators (TMOs) aim to adjust high dynamic range (HDR) images to low dynamic range (LDR) ones so that they can be displayed on conventional devices with visual information retained. Nonetheless, existing TMOs can successfully tone-map only limited types of HDR images, and the parameters need to be manually adjusted to yield the best subjective-quality tone-mapped outputs. To cope with the aforementioned issues, an adaptive parameter-free and scene-adaptive TMO for dynamic range adjusting and detail enhancing is proposed to yield a high-resolution and high-subjective-quality tone-mapped output. This method is based on detail/base layer decomposition to decompose the input HDR image into coarse detail, fine detail, and base images. After that, we adopt different strategies to process each layer to adjust the overall brightness and contrast and to retain as much scene information. Finally, a new method, to the best of our knowledge, is proposed for visualization to generate a sequence of artificial images to adjust the brightness. Experiments with numerous HDR images and state-of-the-art TMOs are conducted; the results demonstrate that the proposed method consistently produces better quality tone-mapped images than the state-of-the-art methods.
    Language English
    Publishing date 2022-10-03
    Publishing country United States
    Document type Journal Article
    ISSN 1539-4522
    ISSN (online) 1539-4522
    DOI 10.1364/AO.457726
    Database MEDical Literature Analysis and Retrieval System OnLINE

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