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  1. AU="Yingjie Xiao"
  2. AU="Hyunghee Lee"
  3. AU=Seif Sherif AU=Seif Sherif
  4. AU=Rajput Dinesh Vijay
  5. AU="Nilsson, Lovisa"
  6. AU="Wijns, Julie"
  7. AU="Gutiérrez Tolentino, Rey"
  8. AU="Reuss, Annette"
  9. AU=Cook Rebecca
  10. AU="Zhu, Tianhui"
  11. AU=Li Liwu
  12. AU="Akamine, Yuko"
  13. AU=Pereira Carlos
  14. AU=Roosa Kimberlyn
  15. AU=Rodrguez-Garca-de-Cortzar Ainhoa AU=Rodrguez-Garca-de-Cortzar Ainhoa
  16. AU="Eltan, Sevgi Bilgic"
  17. AU=Shibley I A Jr
  18. AU="Shin Ohta"
  19. AU="Herrera, José M."
  20. AU="Bolanle, Ogunyemi Folasade"
  21. AU="Spezialetti, Matteo"
  22. AU=Rosas Lucia E
  23. AU="Spadotto, Valeria"
  24. AU="Jimenez-Macias, Jorge L"

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  1. Artikel ; Online: Composite learning tracking control for underactuated marine surface vessels with output constraints

    Huaran Yan / Yingjie Xiao / Honghang Zhang

    PeerJ Computer Science, Vol 8, p e

    2022  Band 863

    Abstract: In this paper, a composite learning control scheme was proposed for underactuated marine surface vessels (MSVs) subject to unknown dynamics, time-varying external disturbances and output constraints. Based on the line-of-sight (LOS) approach, the ... ...

    Abstract In this paper, a composite learning control scheme was proposed for underactuated marine surface vessels (MSVs) subject to unknown dynamics, time-varying external disturbances and output constraints. Based on the line-of-sight (LOS) approach, the underactuation problem of the MSVs was addressed. To deal with the problem of output constraint, the barrier Lyapunov function-based method was utilized to ensure that the output error will never violate the constraint. The composite neural networks (NNs) are employed to approximate unknown dynamics. The prediction errors can be obtained using the serial-parallel estimation model (SPEM). Both the prediction errors and the tracking errors were employed to construct the NN weight updating. Using approximation information, the disturbance observers were designed to estimate unknown time-varying disturbances. The stability analysis via the Lyapunov approach indicates that all signals of unmanned marine surface vessels are uniformly ultimate boundedness. The simulation results verify the effectiveness of the proposed control scheme.
    Schlagwörter Disturbance observer ; Trajectory tracking ; Line-of-sight ; Output constraints ; Composite learning ; Electronic computers. Computer science ; QA75.5-76.95
    Thema/Rubrik (Code) 629
    Sprache Englisch
    Erscheinungsdatum 2022-02-01T00:00:00Z
    Verlag PeerJ Inc.
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  2. Artikel ; Online: The Application of Automatic Identification System Information and PSO-LSTM Neural Network in CRI Prediction

    Wei Zhou / Yun Li / Yingjie Xiao / Jian Zheng

    Computational Intelligence and Neuroscience, Vol

    2022  Band 2022

    Abstract: Considering that collision accidents happen sometimes, it is necessary to predict the collision risk to ensure navigation safety. With the information construction in maritime and the popularity of automatic identification system application, it is more ... ...

    Abstract Considering that collision accidents happen sometimes, it is necessary to predict the collision risk to ensure navigation safety. With the information construction in maritime and the popularity of automatic identification system application, it is more convenient to obtain ship navigation dynamics. How to obtain ship encounter dynamic parameters through automatic identification system information, assess ship collision risk, find out dangerous target ships, and give early warning and guarantee for ship navigation safety, is a problem that scholars have been studying. As an index to measure the degree of ship collision risk, CRI, namely, collision risk index, is usually obtained by calculating ship encounter parameters and comprehensive analysis. There are many factors that affect CRI, and the values of many parameters depend on expert judgment. The corresponding CRI has nonlinear and complex characteristics, which is highly correlated with the time sequence. In order to enhance the prediction accuracy and efficiency, PSO-LSTM neural network is applied in the paper to predict CRI. Experiments show that PSO-LSTM neural network can effectively predict collision risk and provide a reference for navigation safety.
    Schlagwörter Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
    Thema/Rubrik (Code) 600
    Sprache Englisch
    Erscheinungsdatum 2022-01-01T00:00:00Z
    Verlag Hindawi Limited
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  3. Artikel ; Online: An online identification approach for ship domain model based on AIS data.

    Wei Zhou / Jian Zheng / Yingjie Xiao

    PLoS ONE, Vol 17, Iss 3, p e

    2022  Band 0265266

    Abstract: As an important basis of navigation safety decisions, ship domains have always been a pilot concern. In the past, model parameters were usually obtained from statistics of massive historical cumulative data, but the results were mostly historical ... ...

    Abstract As an important basis of navigation safety decisions, ship domains have always been a pilot concern. In the past, model parameters were usually obtained from statistics of massive historical cumulative data, but the results were mostly historical analysis and static data, which obviously could not meet the needs of pilots who wish to master the ship domain in real time. To obtain and update the ship domain parameter online in time and meet the real-time needs of maritime applications, this paper obtains CRI as the weight coefficient-based PSO-LSSVM method and proposes to use short-term AIS data accumulation through the risk-weighted least squares method online rolling identification method, which can filter nonhazardous targets and improve the identification accuracy and real-time performance of nonlinear models in the ship domain. The experimental examples show that the method can generate the ship domain dynamically in real time. At the same time, the method can be used to study the dynamic evolution characteristics of the ship domain over the course of navigation, which provides a reference for navigation safety decisions and the analysis of ship navigation behavior.
    Schlagwörter Medicine ; R ; Science ; Q
    Thema/Rubrik (Code) 600
    Sprache Englisch
    Erscheinungsdatum 2022-01-01T00:00:00Z
    Verlag Public Library of Science (PLoS)
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Artikel ; Online: Differential Evolution Algorithm-Based Iterative Sliding Mode Control of Underactuated Ship Motion

    Huaran Yan / Yingjie Xiao / Qinrong Li / Renqiang Wang

    Computational Intelligence and Neuroscience, Vol

    2021  Band 2021

    Abstract: The differential evolution algorithm (DEA)-based iterative sliding mode control (ISMC) method was proposed for the path tracking problem of three-degree-of-freedom (3-DoF) underactuated ships under external interference, with the nonlinear separate model ...

    Abstract The differential evolution algorithm (DEA)-based iterative sliding mode control (ISMC) method was proposed for the path tracking problem of three-degree-of-freedom (3-DoF) underactuated ships under external interference, with the nonlinear separate model proposed by mathematical model group (MMG). To improve control quality and enhance robustness of the control system, a swarm intelligence optimization algorithm is used to design a controller parameter optimization system. The DEA was adopted in the system to solve the minimum system evaluation index function, and the optimal controller parameters are acquired. Considering the impact of chattering on the actual project, a chattering measurement function is defined in the controller design and used as an input of the controller parameter optimization system. Finally, the 5446TEU container ship is carried out for simulation. It is verified that the designed controller with strong robustness can effectively deal with the disturbances; meanwhile, the chattering of the output is significantly reduced, and the control rudder angle signal conforms to the actual operation requirements of the ship and is more in line with the engineering reality.
    Schlagwörter Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
    Thema/Rubrik (Code) 629
    Sprache Englisch
    Erscheinungsdatum 2021-01-01T00:00:00Z
    Verlag Hindawi Limited
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  5. Artikel ; Online: Data Analysis and Decision on Navigation Safety of Yangshan Port Channel

    Xiang’en Bai / Tian Guan / Xiaofeng Xu / Yingjie Xiao

    Sustainability, Vol 14, Iss 7968, p

    2022  Band 7968

    Abstract: Aiming at the problem of pilotage disruption under high wind control, this paper provides statistics on wind direction and wind levels during high wind control days, measures pilotage disruption at Yangshan Port for a total of ten years (from 2011 to ... ...

    Abstract Aiming at the problem of pilotage disruption under high wind control, this paper provides statistics on wind direction and wind levels during high wind control days, measures pilotage disruption at Yangshan Port for a total of ten years (from 2011 to 2020), notes the wind direction and wind levels that trigger pilotage disruption, and models and analyzes the effects of different wind directions and wind-level coupling on pilotage disruption. In addition, the difference of traffic flow in the alert area under normal and interrupted conditions of pilotage is analyzed by combining pilotage interruption data and the observation data of the alert area. The law of traffic volume and speed of container ships of different lengths is also analyzed. Based on the data of each observation line, the speed and time of ships in the warning area were evaluated by combining the speed, heading, and time from the records. The traffic law of different types of ships are summarized; that is, the ship’s speed in the caution area is roughly positively correlated with its length: the longer the ship’s length, the faster the ship’s speed, and the less the sailing time. The article provides a basis for the research of pilotage safety operations.
    Schlagwörter pilotage interrupted ; wind level and wind direction ; modeling analysis ; traffic flow ; sailing law ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Thema/Rubrik (Code) 551
    Sprache Englisch
    Erscheinungsdatum 2022-06-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  6. Artikel ; Online: Identification of a Diagnostic Signature and Immune Cell Infiltration Characteristics in Keloids

    Yijun Xia / Youbin Wang / Yingjie Xiao / Mengjie Shan / Yan Hao / Lingyun Zhang

    Frontiers in Molecular Biosciences, Vol

    2022  Band 9

    Abstract: Background: Keloid disorder is a recurrent fibroproliferative cutaneous tumor. Due to the lack of early identification of keloid patients before the formation of keloids, it is impossible to carry out pre-traumatic intervention and prevention for these ... ...

    Abstract Background: Keloid disorder is a recurrent fibroproliferative cutaneous tumor. Due to the lack of early identification of keloid patients before the formation of keloids, it is impossible to carry out pre-traumatic intervention and prevention for these patients. This led us to identify and determine signatures with diagnostic significance for keloids.Methods: Public series of matrix files were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were calculated from expression profiling data, and the diagnostic signature was identified by constructing a protein-protein interaction (PPI) network. The diagnostic efficacy of the screened signature was assessed by employing receiver operating characteristic (ROC) curves. Furthermore, we calculated the proportion of different immune cells in the gene expression matrix microenvironment by the “ssGSEA” algorithm, and assessed the difference in immune cell abundance between keloids and control groups and the relationship between the signature and immune cell infiltration. Clinical keloid and normal skin tissues were collected, and the expression of the screened diagnostic signature was validated by RT-qPCR and immunohistochemical assay.Results: By screening the key genes in PPI, TGM2 was recognized and validated as a diagnostic signature and the infiltrating abundance of 10 immune cells was significantly correlated with TGM2 expression. Gene ontology enrichment analysis demonstrated that TGM2 and molecules interacting with it were mainly enriched in processes involving wound healing and collagen fiber organization. TGM2 correlated positively with HIF-1A (R = 0.82, p-value = 1.4e-05), IL6 (R = 0.62, p-value = 0.0053), and FN1 (R = 0.66, p-value = 0.0019). Besides, TGM2 was significantly upregulated in clinical keloid samples compared to normal skin tissues.Conclusion: TGM2 may serve as an auxiliary diagnostic indicator for keloids. However, the role of TGM2 in keloids has not been adequately reported in the current literature, which ...
    Schlagwörter keloid ; diagnostic signature ; immune cell infiltration ; ssGSEA ; TGM2 ; Biology (General) ; QH301-705.5
    Thema/Rubrik (Code) 616 ; 610
    Sprache Englisch
    Erscheinungsdatum 2022-05-01T00:00:00Z
    Verlag Frontiers Media S.A.
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  7. Artikel ; Online: Target-oriented prioritization

    Wenyu Yang / Tingting Guo / Jingyun Luo / Ruyang Zhang / Jiuran Zhao / Marilyn L. Warburton / Yingjie Xiao / Jianbing Yan

    Genome Biology, Vol 23, Iss 1, Pp 1-

    targeted selection strategy by integrating organismal and molecular traits through predictive analytics in breeding

    2022  Band 19

    Abstract: Abstract Genomic prediction in crop breeding is hindered by modeling on limited phenotypic traits. We propose an integrative multi-trait breeding strategy via machine learning algorithm, target-oriented prioritization (TOP). Using a large hybrid maize ... ...

    Abstract Abstract Genomic prediction in crop breeding is hindered by modeling on limited phenotypic traits. We propose an integrative multi-trait breeding strategy via machine learning algorithm, target-oriented prioritization (TOP). Using a large hybrid maize population, we demonstrate that the accuracy for identifying a candidate that is phenotypically closest to an ideotype, or target variety, achieves up to 91%. The strength of TOP is enhanced when omics level traits are included. We show that TOP enables selection of inbreds or hybrids that outperform existing commercial varieties. It improves multiple traits and accurately identifies improved candidates for new varieties, which will greatly influence breeding.
    Schlagwörter Crop breeding ; Multiple traits ; Genomic prediction ; Omics ; Machine learning ; Biology (General) ; QH301-705.5 ; Genetics ; QH426-470
    Sprache Englisch
    Erscheinungsdatum 2022-03-01T00:00:00Z
    Verlag BMC
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  8. Artikel ; Online: LightGBM

    Jun Yan / Yuetong Xu / Qian Cheng / Shuqin Jiang / Qian Wang / Yingjie Xiao / Chuang Ma / Jianbing Yan / Xiangfeng Wang

    Genome Biology, Vol 22, Iss 1, Pp 1-

    accelerated genomically designed crop breeding through ensemble learning

    2021  Band 24

    Abstract: Abstract LightGBM is an ensemble model of decision trees for classification and regression prediction. We demonstrate its utility in genomic selection-assisted breeding with a large dataset of inbred and hybrid maize lines. LightGBM exhibits superior ... ...

    Abstract Abstract LightGBM is an ensemble model of decision trees for classification and regression prediction. We demonstrate its utility in genomic selection-assisted breeding with a large dataset of inbred and hybrid maize lines. LightGBM exhibits superior performance in terms of prediction precision, model stability, and computing efficiency through a series of benchmark tests. We also assess the factors that are essential to ensure the best performance of genomic selection prediction by taking complex scenarios in crop hybrid breeding into account. LightGBM has been implemented as a toolbox, CropGBM, encompassing multiple novel functions and analytical modules to facilitate genomically designed breeding in crops.
    Schlagwörter Genomic prediction ; Genomic selection ; Machine learning ; Ensemble learning ; Maize ; Crop breeding ; Biology (General) ; QH301-705.5 ; Genetics ; QH426-470
    Sprache Englisch
    Erscheinungsdatum 2021-09-01T00:00:00Z
    Verlag BMC
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  9. Artikel ; Online: Three types of genes underlying the Gametophyte factor1 locus cause unilateral cross incompatibility in maize

    Yuebin Wang / Wenqiang Li / Luxi Wang / Jiali Yan / Gang Lu / Ning Yang / Jieting Xu / Yuqing Wang / Songtao Gui / Gengshen Chen / Shuyan Li / Chengxiu Wu / Tingting Guo / Yingjie Xiao / Marilyn L. Warburton / Alisdair R. Fernie / Thomas Dresselhaus / Jianbing Yan

    Nature Communications, Vol 13, Iss 1, Pp 1-

    2022  Band 12

    Abstract: Unilateral cross incompatibility (UCI) is a type of prezygotic reproductive isolation, which is associated with multiple loci in maize. Here, the authors use genetic analysis to separate the Ga1 locus into two functional components and identify seven ... ...

    Abstract Unilateral cross incompatibility (UCI) is a type of prezygotic reproductive isolation, which is associated with multiple loci in maize. Here, the authors use genetic analysis to separate the Ga1 locus into two functional components and identify seven linked genes encoding three types of proteins.
    Schlagwörter Science ; Q
    Sprache Englisch
    Erscheinungsdatum 2022-08-01T00:00:00Z
    Verlag Nature Portfolio
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  10. Artikel: Intraspecific variation of residual heterozygosity and its utility for quantitative genetic studies in maize

    Liu, Nannan / Jianxiao Liu / Wenqiang Li / Qingchun Pan / Jie Liu / Xiaohong Yang / Jianbing Yan / Yingjie Xiao

    BMC plant biology. 2018 Dec., v. 18, no. 1

    2018  

    Abstract: BACKGROUND: Residual heterozygosity (RH) in advanced inbred lines of plants benefits quantitative trait locus (QTL) mapping studies. However, knowledge of factors affecting the genome-wide distribution of RH remains limited. RESULTS: A set of 2196 ... ...

    Abstract BACKGROUND: Residual heterozygosity (RH) in advanced inbred lines of plants benefits quantitative trait locus (QTL) mapping studies. However, knowledge of factors affecting the genome-wide distribution of RH remains limited. RESULTS: A set of 2196 heterogeneous inbred family (HIF) maize lines derived from 12 recombinant inbred line (RIL) populations was genotyped using the Maize50K SNP chip. A total of 18,615 unique RH intervals were identified, ranging from 505 to 2095 intervals per population, with average maize genome coverage of 94.8%. Across all populations, there were 8.6 RH intervals per HIF line on average, ranging from 1.8 to 14 intervals; the average size of an RH interval was approximately 58.7 Mb, ranging from 7.2 to 74.1 Mb. A given RH region was present in an average of 5 different individuals within a population. Seven RH hotspots, where RH segments were enriched in the genome, were found to be subject to selection during population development. The RH patterns varied significantly across populations, presumably reflecting differences in the genetic background of each population, and 8 QTLs were found to affect heterozygosity levels in the RH hotspots. The potential use of this HIF library for the fine mapping of QTLs was assessed based on publicly available QTL information, achieving a ≤ 1 Mb resolution on average. CONCLUSION: The examined library of HIF lines offers insight into the RH landscape and its intraspecific variation and provides a useful resource for the QTL cloning of important agronomic traits in maize.
    Schlagwörter agronomic traits ; corn ; genetic background ; genome ; genotyping ; heterozygosity ; inbred lines ; intraspecific variation ; landscapes ; quantitative trait loci ; single nucleotide polymorphism
    Sprache Englisch
    Erscheinungsverlauf 2018-12
    Umfang p. 66.
    Erscheinungsort BioMed Central
    Dokumenttyp Artikel
    ISSN 1471-2229
    DOI 10.1186/s12870-018-1287-4
    Datenquelle NAL Katalog (AGRICOLA)

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