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  1. Article: Ultrasonic-assisted extraction, anti-biofilm activity, and mechanism of action of Ku Shen (

    Zhao, Yanan / Guo, Siya / Li, Shuge / Ye, Enjun / Wang, Wenfang / Wang, Tong / Wen, Ying / Guo, Lei

    Frontiers in microbiology

    2024  Volume 15, Page(s) 1379341

    Abstract: The objective of this study is to optimize the ultrasonic-assisted extraction process of Ku Shen ( ...

    Abstract The objective of this study is to optimize the ultrasonic-assisted extraction process of Ku Shen (
    Language English
    Publishing date 2024-03-26
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587354-4
    ISSN 1664-302X
    ISSN 1664-302X
    DOI 10.3389/fmicb.2024.1379341
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  2. Article: A Novel LED Light Radiation Approach Enhances Growth in Green and Albino Tea Varieties.

    Zhang, Xianchen / Chen, Keyang / Zhao, Ziyi / Li, Siya / Li, Yeyun

    Plants (Basel, Switzerland)

    2023  Volume 12, Issue 5

    Abstract: Light, as an energy source, has been proven to strongly affect photosynthesis and, thus, can regulate the yield and quality of tea leaves ( ...

    Abstract Light, as an energy source, has been proven to strongly affect photosynthesis and, thus, can regulate the yield and quality of tea leaves (
    Language English
    Publishing date 2023-02-21
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704341-1
    ISSN 2223-7747
    ISSN 2223-7747
    DOI 10.3390/plants12050988
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  3. Article ; Online: Modeling of a hinged-raft wave energy converter via deep operator learning and wave tank experiments

    Zhang, Jincheng / Zhao, Xiaowei / Greaves, Deborah / Jin, Siya

    Applied Energy. 2023 July, v. 341 p.121072-

    2023  

    Abstract: Model identification for a hinged-raft wave energy converter (WEC) is investigated in this paper, based on wave tank experiments and deep operator learning. Different from previous works which all formulated this issue as a function approximation task, ... ...

    Abstract Model identification for a hinged-raft wave energy converter (WEC) is investigated in this paper, based on wave tank experiments and deep operator learning. Different from previous works which all formulated this issue as a function approximation task, this work, for the first time, formulates it as an operator approximation task (which learns the mapping from a function space to another function space). As such, a continuous-time WEC model is identified from data, greatly expanding the horizon of data-based WEC modeling because previous works were limited to discrete-time model identification. The error accumulation for multi-step predictions in the discrete-time formulation is thus also addressed. The model is developed by first carrying out a set of wave tank experiments to generate the training data, and then the deep operator learning model, i.e. the DeepONet, is constructed and trained based on the experimental data. The validation study shows that the model captures the WEC dynamics accurately. A new set of experimental runs are further carried out and the results show that after training, the model can be used as a digital wave tank, an alternative to the expensive numerical and physical wave tanks, for accurate and real-time simulations of the WEC dynamics.
    Keywords energy conversion ; models ; water power ; Data-based modeling ; Deep learning ; DeepONet ; Wave energy converter ; Wave tank experiment
    Language English
    Dates of publication 2023-07
    Publishing place Elsevier Ltd
    Document type Article ; Online
    Note Use and reproduction
    ZDB-ID 2000772-3
    ISSN 0306-2619
    ISSN 0306-2619
    DOI 10.1016/j.apenergy.2023.121072
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  4. Article ; Online: Carbon Foam-Supported VS

    Mao, Yunjie / Zhao, Bangchuan / Bai, Jin / Ma, Hongyang / Wang, Peiyao / Li, Wanyun / Xiao, Ke / Wang, Siya / Zhu, Xuebin / Sun, Yuping

    Small (Weinheim an der Bergstrasse, Germany)

    2023  Volume 19, Issue 25, Page(s) e2207998

    Abstract: As the new generation of energy storage systems, the flexible battery can effectively broaden the application area and scope of energy storage devices. Flexibility and energy density are the two core evaluation parameters for the flexible battery. In ... ...

    Abstract As the new generation of energy storage systems, the flexible battery can effectively broaden the application area and scope of energy storage devices. Flexibility and energy density are the two core evaluation parameters for the flexible battery. In this work, a flexible VS
    Language English
    Publishing date 2023-03-17
    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.202207998
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  5. Article: Phase-resolved real-time ocean wave prediction with quantified uncertainty based on variational Bayesian machine learning

    Zhang, Jincheng / Zhao, Xiaowei / Jin, Siya / Greaves, Deborah

    Applied energy. 2022 July 17,

    2022  

    Abstract: Phase-resolved wave prediction is of vital importance for the real-time control of wave energy converters. In this paper, a novel wave prediction method is proposed, which, to the authors’ knowledge, achieves the real-time nonlinear wave prediction with ... ...

    Abstract Phase-resolved wave prediction is of vital importance for the real-time control of wave energy converters. In this paper, a novel wave prediction method is proposed, which, to the authors’ knowledge, achieves the real-time nonlinear wave prediction with quantified uncertainty (including both aleatory and model uncertainties) for the first time. Moreover, the proposed method achieves the prediction of the predictable zone without assuming linear sea states, while all previous works on predictable zone determination were based on linear wave theory (which produces overly conservative estimations). The proposed method is developed based on the Bayesian machine learning approach, which can take advantage of machine learning model’s ability in tackling complex nonlinear problems, while taking various forms of uncertainties into account via the Bayesian framework. A set of wave tank experiments are carried out for evaluation of the method. The results show that the wave elevations at the location of interest are predicted accurately based on the measurements at sensor location, and the prediction uncertainty and its variations across the time horizon are well captured. The comparison with other wave prediction methods shows that the proposed method outperforms them in terms of both prediction accuracy and the length of the predictable zone. Particularly, for short-term wave forecasting, the prediction error by the proposed method is as much as 55.4% and 11.7% lower than the linear wave theory and deterministic machine learning approaches, and the predictable zone is expanded by the proposed method by as much as 74.6%.
    Keywords Bayesian theory ; models ; prediction ; water power
    Language English
    Dates of publication 2022-0717
    Publishing place Elsevier Ltd
    Document type Article
    Note Pre-press version
    ZDB-ID 2000772-3
    ISSN 0306-2619
    ISSN 0306-2619
    DOI 10.1016/j.apenergy.2022.119711
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  6. Article ; Online: Genome-Wide Identification and Expression Analysis of the HSF Gene Family in Poplar

    Zhao, Kai / Dang, Hui / Zhou, Lieding / Hu, Jia / Jin, Siya / Han, Youzhi / Wang, Shengji

    Forests. 2023 Mar. 04, v. 14, no. 3

    2023  

    Abstract: The Heat Shock Factor (HSF) transcription factor family plays crucial roles in plant growth and development, as well as in protecting against adverse stresses. However, studies on the functions and regulatory mechanisms of the HSF genes are limited in ... ...

    Abstract The Heat Shock Factor (HSF) transcription factor family plays crucial roles in plant growth and development, as well as in protecting against adverse stresses. However, studies on the functions and regulatory mechanisms of the HSF genes are limited in poplar. Here, we identified and classified 30 HSF transcription factors in Populus trichocarpa based on recent genomic data and annotation information and conducted a comprehensive analysis of these proteins, including phylogenetic and physicochemical properties analysis, domain characterization, subcellular localization prediction, cis-acting elements analysis, sequence structure analysis, and chromosomal distribution. Our analysis revealed that segmental duplication events may be the main driving force behind the expansion of the poplar HSF gene family, and we explored the collinearity between poplar HSF genes and those of six other representative species. We also analyzed the tissue-specific and hormonal responses of the HSF genes in poplar and conducted gene co-expression network analysis, which revealed important molecular functions and biological processes related to growth and development, biotic and abiotic stress response, and epigenetic modification. These results provide significant insights into the functions and regulatory mechanisms of the HSF genes in poplar.
    Keywords Populus trichocarpa ; abiotic stress ; epigenetics ; genes ; genomics ; growth and development ; heat shock proteins ; phylogeny ; plant growth ; prediction ; stress response ; transcription factors
    Language English
    Dates of publication 2023-0304
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article ; Online
    ZDB-ID 2527081-3
    ISSN 1999-4907
    ISSN 1999-4907
    DOI 10.3390/f14030510
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  7. Article ; Online: Two Birds with One Stone: V

    Mao, Yunjie / Bai, Jin / Lin, Shuai / Wang, Peiyao / Li, Wanyun / Xiao, Ke / Wang, Siya / Zhu, Xuebin / Zhao, Bangchuan / Sun, Yuping

    Small (Weinheim an der Bergstrasse, Germany)

    2023  Volume 20, Issue 11, Page(s) e2306615

    Abstract: Aqueous zinc-ion batteries (AZIBs) are considered to be a rising star in the large-scale energy storage area because of their low cost and environmental friendliness properties. However, the limited electrochemical performance of the cathode and severe ... ...

    Abstract Aqueous zinc-ion batteries (AZIBs) are considered to be a rising star in the large-scale energy storage area because of their low cost and environmental friendliness properties. However, the limited electrochemical performance of the cathode and severe zinc dendrite of the anode severely hinder the practical application of AZIBs. Herein, a novel 3D interconnected VS
    Language English
    Publishing date 2023-11-06
    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.202306615
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  8. Article ; Online: Identification of key regulatory pathways and genes involved in the dynamic progression of pigmentation in Sinibrama taeniatus

    Dengyue Yuan / Xiaoqin Liu / Siya Wang / Haoyu Wang / Junting Li / Zhe Zhao / Lan Wei / Linfeng Cheng / Ran Teng / Zhijian Wang

    Frontiers in Marine Science, Vol

    2023  Volume 10

    Abstract: IntorductionColoration is a prominent trait in fish that is closely linked to their market value. Fish exhibit a diverse range of body colors, making them an excellent model for studying molecular mechanisms underlying pigmentation. Although regulatory ... ...

    Abstract IntorductionColoration is a prominent trait in fish that is closely linked to their market value. Fish exhibit a diverse range of body colors, making them an excellent model for studying molecular mechanisms underlying pigmentation. Although regulatory pathways involved in pigmentation have been extensively studied in model fish such as zebrafish and medaka, the presence of varying chromatophore types across different fish species suggests that fish pigmentation mechanisms are not fixed. Therefore, more studies should be conducted on non-model fish. Sinibrama taeniatus is an endemic fish in the upper Yangtze River that is highly valued for its ornamental and edible properties.MethodsIn this study, we identified three chromatophore types in S. taeniatus and investigated changes in body color, chromatophores, and pigments at different developmental stages. Subsequently, RNA-seq analysis revealed that retinol metabolism, thyroid hormone synthesis, purine metabolism, and pyrimidine metabolism pathway are closely associated with pigmentation.ResultsWeighted gene co-expression network analysis (WGCNA) identified several hub genes, including mitf, wnt 9a, wnt10b, wnt11, adcy5, edn1, adcy8, and rdh8, that may play an important role in pigmentation.DiscussionOverall, our findings provide valuable insights into the role of genes and pathways in fish pigmentation and offer useful information for body color-based molecular breeding programs in aquaculture.
    Keywords color formation ; chromatophores ; pigments ; pigmentation gene ; Cyprinidae fish ; Science ; Q ; General. Including nature conservation ; geographical distribution ; QH1-199.5
    Subject code 570
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Producing fluorescent plants to lure and trap insect pests.

    Peng, Qinglin / Zhao, Jing / Xiang, Siya / Li, Jiajia / He, Chaochao / Huang, Xingting / Bao, ManZhu / Wang, Jihua / Zhu, Genfa / Larkin, Robert M / Luo, Hong / Ning, Guogui

    Plant biotechnology journal

    2022  Volume 20, Issue 10, Page(s) 1847–1849

    MeSH term(s) Animals ; Insect Control ; Insecta
    Language English
    Publishing date 2022-07-24
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2136367-5
    ISSN 1467-7652 ; 1467-7652
    ISSN (online) 1467-7652
    ISSN 1467-7652
    DOI 10.1111/pbi.13887
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  10. Article ; Online: Urbanization does not endanger food security: Evidence from China's Loess Plateau

    Li, Siya / Ji, Qiulei / Liang, Wei / Fu, Bojie / Lü, Yihe / Yan, Jianwu / Jin, Zhao / Wang, Zhenguo / Li, Yingjie

    Science of the Total Environment. 2023 May, v. 871 p.162053-

    2023  

    Abstract: The expansion of construction land due to urbanization is the most rapid land use change in contemporary human history and has always occupied high-quality cropland, posing a severe threat to cropland and food security, it's essential to clarify the ... ...

    Abstract The expansion of construction land due to urbanization is the most rapid land use change in contemporary human history and has always occupied high-quality cropland, posing a severe threat to cropland and food security, it's essential to clarify the impact of urbanization on cropland and food security. This study proposed a research framework based on the regulating role of human activities, used quantifiable complex network analysis to uncover the vital role of urbanization in the evolution of land systems, and combined trajectory analysis of crop yield change to explore the impact of different urbanization modes (urban, town, and township mode) on food security through a continuous observation on 4259 township-level administrative regions of the Loess Plateau from 1990 to 2020. The findings proved that urbanization occupied the greatest land use area of cropland, and the town mode occupied 58.62 % of all urbanization modes encroaching on cropland, which has become a new pattern for advancing the urbanization development in the Loess Plateau. Construction land is more likely to be transferred in than out in the land use transfer network, while other land use types converted to construction land will be difficult to reverse. The Chinese government has implemented pragmatic policies, improved agricultural production techniques, and promoted agricultural intensification, resulting in a considerable increase in crop productivity and crop yield and the achievement of basic crop yield self-sufficiency of the Loess Plateau, so urbanization would not endanger food security. This study not only provides a more systematic research framework for related studies but also provides a theoretical basis for securing food security in other rapidly urbanizing regions of the world.
    Keywords crop yield ; cropland ; environment ; food security ; humans ; intensive farming ; land use change ; urbanization ; China ; Complex network ; Change trajectory ; Crop yield self-sufficiency ; Loess Plateau
    Language English
    Dates of publication 2023-05
    Publishing place Elsevier B.V.
    Document type Article ; Online
    Note Pre-press version
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2023.162053
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