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  1. Book ; Online: Fluxomics and Metabolic Analysis in Systems Microbiology

    Xiong, Wei / Tang, Yinjie / Keld Nielsen, Lars

    2019  

    Keywords Science: general issues ; Medical microbiology & virology ; Microbiology (non-medical) ; Metabolic Flux Analysis ; Stable Isotope Labelling ; Metabolic Pathways ; Mass Spectroscopy ; Modelling
    Size 1 electronic resource (135 pages)
    Publisher Frontiers Media SA
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021230061
    ISBN 9782889630691 ; 2889630692
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Molecular Vibrational Polariton Dynamics: What Can Polaritons Do?

    Xiong, Wei

    Accounts of chemical research

    2023  Volume 56, Issue 7, Page(s) 776–786

    Abstract: ConspectusWhen molecular vibrational modes strongly couple to virtual states of photonic modes, new molecular vibrational polariton states are formed, along with a large population of dark reservoir modes. The polaritons are much like the bonding and ... ...

    Abstract ConspectusWhen molecular vibrational modes strongly couple to virtual states of photonic modes, new molecular vibrational polariton states are formed, along with a large population of dark reservoir modes. The polaritons are much like the bonding and antibonding molecular orbitals when atomic orbitals form molecular bonds, while the dark modes are like nonbonding orbitals. Because the polariton states are half-matter and half-light, whose energy is shifted from the parental states, polaritons are predicted to modify chemistry under thermally activated conditions, leading to an exciting and emerging field known as polariton chemistry that could potentially shift paradigms in chemistry. Despite several published results supporting this concept, the chemical physics and mechanism of polariton chemistry remain elusive. One reason for this challenge is that previous works cannot differentiate polaritons from dark modes. This limitation makes delineating the contributions to chemistry from polaritons and dark states difficult. However, this level of insight is critical for developing a solid mechanism for polariton chemistry to design and predict the outcome of strong coupling with any given reaction. My group addressed the challenge of differentiating the dynamics of polaritons and dark modes by ultrafast two-dimensional infrared (2D IR) spectroscopy. Specifically, (1) we found that polaritons can facilitate intra- and intermolecular vibrational energy transfer, opening a pathway to control vibrational energy flow in liquid-phase molecular systems, and (2) by studying a single-step isomerization event, we verified that indeed polaritons can modify chemical dynamics under strong coupling conditions, but in contrast, the dark modes behave like uncoupled molecules and do not change the dynamics. This finding confirmed the central concept of polariton chemistry: polaritons modify the potential energy landscape of reactions. The result also clarified the role of dark modes, which lays a critical foundation for designing cavities for future polariton chemistry. Aside from using 2D IR spectroscopy to study polariton chemistry, we also used the same technique to develop molecular polaritons into a potential quantum simulation platform. We demonstrated that polaritons have Rabi oscillations, and using a checkerboard cavity design, we showed that polaritons could have large nonlinearity across space. We further used the checkerboard polaritons to simulate coherence transfer and visualize it. A unidirectional coherence transfer was observed, indicating non-Hermitian dynamics. The highlighted efforts in this Account provide a solid understanding of the capability of polaritons for chemistry and quantum information science. I conclude this Account by discussing a few challenges for moving polariton chemistry toward being predictable and making the polariton quantum platform a complement to existing systems.
    Language English
    Publishing date 2023-03-17
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1483291-4
    ISSN 1520-4898 ; 0001-4842
    ISSN (online) 1520-4898
    ISSN 0001-4842
    DOI 10.1021/acs.accounts.2c00796
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Review of Pulmonary Embolism.

    Xiong, Wei

    JAMA

    2023  Volume 329, Issue 7, Page(s) 592–593

    MeSH term(s) Humans ; Pulmonary Embolism
    Language English
    Publishing date 2023-02-21
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 2958-0
    ISSN 1538-3598 ; 0254-9077 ; 0002-9955 ; 0098-7484
    ISSN (online) 1538-3598
    ISSN 0254-9077 ; 0002-9955 ; 0098-7484
    DOI 10.1001/jama.2022.22232
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Ua VI Zs.88: Show issues Location:
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    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  4. Article ; Online: Initial Clustering Based on the Swarm Intelligence Algorithm for Computing a Data Density Parameter.

    Xiong, Wei

    Computational intelligence and neuroscience

    2022  Volume 2022, Page(s) 6408949

    Abstract: To improve the accuracy and efficiency of cluster startup using data density parameters, the author proposes a large data cluster extraction algorithm based on a herd intelligence algorithm. Since clustering to initiate data density parameters is ... ...

    Abstract To improve the accuracy and efficiency of cluster startup using data density parameters, the author proposes a large data cluster extraction algorithm based on a herd intelligence algorithm. Since clustering to initiate data density parameters is primarily data mining, the author explores data mining clustering based primarily on herd intelligence algorithms. First, the obscure c-key cluster algorithm in the clustering algorithm is analyzed, and then the hybrid jump algorithm in the sub-heuristic herd intelligence optimization technology is optimized in the case of a few parameters by combining the obscure c-means cluster algorithm. The simulation results show that the convergence speed of the fuzzy C-means clustering algorithm and hybrid leapfrog algorithm is slow; the convergence rate of the PSO-FCM algorithm has been improved. Since the fusion algorithm requires fewer adjustment parameters, the cluster centers can be obtained more accurately and quickly with strong robustness and fast convergence. Compared with other algorithms, the fusion algorithm proposed by the author has the best performance in clustering effect, accuracy, convergence rate, and robustness. It is proved that the swarm intelligence algorithm can effectively perform density parameter initialization clustering on computational data.
    Language English
    Publishing date 2022-06-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2388208-6
    ISSN 1687-5273 ; 1687-5273
    ISSN (online) 1687-5273
    ISSN 1687-5273
    DOI 10.1155/2022/6408949
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Diagnostic Strategy Using an Elevated Age-Adjusted D-Dimer Threshold and Thromboembolic Events in the Emergency Department.

    Xiong, Wei

    JAMA

    2022  Volume 327, Issue 10, Page(s) 983–984

    MeSH term(s) Emergency Service, Hospital ; Fibrin Fibrinogen Degradation Products ; Humans ; Thromboembolism/diagnosis
    Chemical Substances Fibrin Fibrinogen Degradation Products ; fibrin fragment D
    Language English
    Publishing date 2022-03-03
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 2958-0
    ISSN 1538-3598 ; 0254-9077 ; 0002-9955 ; 0098-7484
    ISSN (online) 1538-3598
    ISSN 0254-9077 ; 0002-9955 ; 0098-7484
    DOI 10.1001/jama.2022.0538
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Ua VI Zs.88: 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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  6. Article ; Online: Construction of Teaching Mode of Film and TV Art in Institution of Higher Learning Using Virtual Simulation Technology.

    Xiong, Wei

    publication RETRACTED

    Computational intelligence and neuroscience

    2022  Volume 2022, Page(s) 6216232

    Abstract: The modernization of education necessitates the enhancement of instructional quality. This paper begins with a basic overview of the current state of film and television art education and then goes on to examine the current state of film and television ... ...

    Abstract The modernization of education necessitates the enhancement of instructional quality. This paper begins with a basic overview of the current state of film and television art education and then goes on to examine the current state of film and television art education and develop a virtual simulation-based teaching mode for film and television art. This paper develops an instructional quality evaluation model to assess the feasibility of this teaching mode. In this model, GA is used to optimize BPNN's initial weights and thresholds, reducing the time it takes BPNN to find the weights and thresholds that satisfy the training termination conditions. Improve BPNN's prediction accuracy and convergence speed in relation to instructional quality evaluation results. The evaluation accuracy of this algorithm can reach 94.31 percent, which is 6.35 percent higher than other methods. Furthermore, the use of virtual simulation technology in the teaching of film and television art in higher education institutions can have a significant impact and have far-reaching research implications. The findings of this study can be used to improve the teaching of film and television art in institutions of higher learning.
    MeSH term(s) Computer Simulation ; Motion Pictures ; Teaching ; Television
    Language English
    Publishing date 2022-07-04
    Publishing country United States
    Document type Journal Article ; Retracted Publication
    ZDB-ID 2388208-6
    ISSN 1687-5273 ; 1687-5273
    ISSN (online) 1687-5273
    ISSN 1687-5273
    DOI 10.1155/2022/6216232
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: The mathematical model of gas flowing in porous medium based on the homogenization method

    Xiong Wei

    E3S Web of Conferences, Vol 252, p

    2021  Volume 02046

    Abstract: Considered the characteristics of porous medium in the coal seam and goaf, in order to reflect the accurately influence of various porous media against the gas flow, the mathematical model of discrete multi-scale network and macroscopic flow, CFCM (Coal- ... ...

    Abstract Considered the characteristics of porous medium in the coal seam and goaf, in order to reflect the accurately influence of various porous media against the gas flow, the mathematical model of discrete multi-scale network and macroscopic flow, CFCM (Coal-Fracture-Cavity-Model), was presented. The porous medium is classified into coal matrix, fracture and hole systems based on the size, and the coal matrix system includes micro fractures and micro-porous. The coal matrix system and fracture system can be regarded as diffusion and percolation areas; hole system can be regarded as a free-flowing area. The computation model of flow field in micro-scale, small-scale and large-scale are obtained according the Fick’s diffusion law, Darcy’s permeability law and Forchheimer generalized Darcy law respectively, the homogenization method is used to analyse the mathematical model by scale upgrading and the equivalent Darcy’s fluid equation of porous medium is got to describe the characteristics of the medium in the flow field accurately. An example calculated shows that the coal matrix and fracture systems are the most influential factors of the flow field in goaf and the two systems above would prevent the diffusion of airflow. The study validates the correctness of the classification method and the model of flow equation.
    Keywords Environmental sciences ; GE1-350
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Book ; Online: Supplementary data for the publication

    Xiong, Wei

    Genome assembly and analysis of Lactuca virosa: implications for lettuce breeding

    2023  

    Abstract: This dataset supports the Lactuca virosa genome assembly manuscript published on G3:Genes|Genomes|Genetics journal, entitled: Genome assembly and analysis of Lactuca virosa: implications for lettuce breeding. Lactuca virosa (bitter lettuce) belongs to ... ...

    Abstract This dataset supports the Lactuca virosa genome assembly manuscript published on G3:Genes|Genomes|Genetics journal, entitled: Genome assembly and analysis of Lactuca virosa: implications for lettuce breeding. Lactuca virosa (bitter lettuce) belongs to the Asteraceae, the largest flowing plant family, and is a wild relative of the economic crop lettuce (Lactuca sativa L.) found across Eurasia. Despite the hybrid barrier, L. virosa can still be crossed with lettuce via the bridge of L. serriola or embryo rescue techniques. L. virosa is resistant to various pests and pathogens and therefore an essential donor of genetic variation for lettuce breeding, especially resistance to the currant-lettuce aphid (Nasonovia ribisnigri). Moreover, L. virosa contributes to agronomic traits like a robust root system and mitigated defoliation in modern crisphead cultivars via introgression breeding. To date, the genetic variation of the mentioned traits and the pedigree history of hybridization remains primarily unknown for L. virosa. In contrast to other species within the lettuce gene pool, L. virosa has a significantly larger genome size, potentially hampering chromosome pairing. This combination of breeding and fundamental interests has attracted collaborators with diverse expertise from different fields to participate in this project. To obtain a high-quality genome sequence for L. virosa, we employed a mixed dataset of long-read (Pacbio 20x) and short-read (Illumina 70x) sequencing and scaffolding approaches of Bionano and Hi-C technologies. The resulting assembly has 5,855 super-scaffolds with an N50 of 316.9 Mb. The final assembly contains 3.45 Gb (96% complete BUSCOs) and 39,887 predicted gene models (90% complete BUSCOs). This reference genome sequence of L. virosa obtained in this study provides knowledge about genomic and genetic variation within this species. It facilitates various genomic comparisons to two other available Lactuca genome assemblies (L. sativa and L. saligna), forming a complete spectrum of the ...
    Keywords Lactuca virosa ; Transposable elements ; comparative genomics ; genome assembly ; immune genes ; lettuce breeding ; plant genome evolution
    Publisher Wageningen University & Research
    Publishing country nl
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Book ; Article ; Online: In-season crop yield forecasting in Africa by coupling remote sensing and crop modeling

    Xiong, Wei

    A systematic literature review

    2023  

    Abstract: Timely and accurate estimation of crop yield before harvest is crucial for national food policy and security assessments. Crop models and remote sensing techniques have been combined and applied in crop yield estimation on a regional scale. Previous ... ...

    Abstract Timely and accurate estimation of crop yield before harvest is crucial for national food policy and security assessments. Crop models and remote sensing techniques have been combined and applied in crop yield estimation on a regional scale. Previous studies have proposed models for estimating canopy state variables and soil properties based on remote sensing data and assimilating these estimated canopy state variables into crop models. This paper presents an overview of the comparative introduction, latest developments and applications of crop models, remote sensing techniques, and data assimilation methods in the growth status monitoring and yield estimation of crops, facilitating the improvement of crop models and RS coupling approach in Africa.
    Keywords crop yield ; food policies ; models ; remote sensing ; canopy ; soil properties
    Language English
    Publishing date 2023-01-12T19:59:38Z
    Publisher International Maize and Wheat Improvement Center
    Publishing country fr
    Document type Book ; Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Thesis ; Online: Comparative genomics and trait evolution in lettuce, its wild relatives and the Asteraceae

    Xiong, Wei

    2023  

    Keywords Life Science
    Language English
    Publisher Wageningen University
    Publishing country nl
    Document type Thesis ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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