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  1. Article ; Online: Ubiquitination of PHYTOSULFOKINE RECEPTOR1 regulates plant immunity.

    Zhang, Shiqing / Chen, Jian

    Plant physiology

    2023  Volume 192, Issue 3, Page(s) 2235–2237

    MeSH term(s) Ubiquitination ; Plant Immunity/physiology ; Plant Proteins/genetics ; Plant Proteins/metabolism
    Chemical Substances Plant Proteins
    Language English
    Publishing date 2023-04-14
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 208914-2
    ISSN 1532-2548 ; 0032-0889
    ISSN (online) 1532-2548
    ISSN 0032-0889
    DOI 10.1093/plphys/kiad224
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    In stock of ZB MED Bonn / Germany

    Z 1193: Show issues

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  2. Article: Approximate solutions to several classes of Volterra and Fredholm integral equations using the neural network algorithm based on the sine-cosine basis function and extreme learning machine.

    Lu, Yanfei / Zhang, Shiqing / Weng, Futian / Sun, Hongli

    Frontiers in computational neuroscience

    2023  Volume 17, Page(s) 1120516

    Abstract: In this study, we investigate a new neural network method to solve Volterra and Fredholm integral equations based on the sine-cosine basis function and extreme learning machine (ELM) algorithm. Considering the ELM algorithm, sine-cosine basis functions, ... ...

    Abstract In this study, we investigate a new neural network method to solve Volterra and Fredholm integral equations based on the sine-cosine basis function and extreme learning machine (ELM) algorithm. Considering the ELM algorithm, sine-cosine basis functions, and several classes of integral equations, the improved model is designed. The novel neural network model consists of an input layer, a hidden layer, and an output layer, in which the hidden layer is eliminated by utilizing the sine-cosine basis function. Meanwhile, by using the characteristics of the ELM algorithm that the hidden layer biases and the input weights of the input and hidden layers are fully automatically implemented without iterative tuning, we can greatly reduce the model complexity and improve the calculation speed. Furthermore, the problem of finding network parameters is converted into solving a set of linear equations. One advantage of this method is that not only we can obtain good numerical solutions for the first- and second-kind Volterra integral equations but also we can obtain acceptable solutions for the first- and second-kind Fredholm integral equations and Volterra-Fredholm integral equations. Another advantage is that the improved algorithm provides the approximate solution of several kinds of linear integral equations in closed form (i.e., continuous and differentiable). Thus, we can obtain the solution at any point. Several numerical experiments are performed to solve various types of integral equations for illustrating the reliability and efficiency of the proposed method. Experimental results verify that the proposed method can achieve a very high accuracy and strong generalization ability.
    Language English
    Publishing date 2023-03-09
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2452964-3
    ISSN 1662-5188
    ISSN 1662-5188
    DOI 10.3389/fncom.2023.1120516
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  3. Article: [Exploration of Application of

    Sun, Jiayi / Shi, Xinli / Zhang, Shiqing

    Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation

    2023  Volume 48, Issue 1, Page(s) 80–84

    Abstract: Through the effective application ... ...

    Abstract Through the effective application of
    MeSH term(s) Risk Management ; Equipment and Supplies/standards
    Language Chinese
    Publishing date 2023-10-29
    Publishing country China
    Document type English Abstract ; Journal Article
    ISSN 1671-7104
    ISSN 1671-7104
    DOI 10.3969/j.issn.1671-7104.230072
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  4. Article ; Online: Computational mechanistic investigation of the kinetic resolution of α-methyl-phenylacetaldehyde by norcoclaurine synthase.

    Zhang, Shiqing / Zhang, Chenghua / Guo, Aijing / Liu, Baoyan / Su, Hao / Sheng, Xiang

    Communications chemistry

    2024  Volume 7, Issue 1, Page(s) 64

    Abstract: Norcoclaurine synthase from Thalictrum flavum (TfNCS) demonstrated high stereospecificity and yield in catalyzing the Pictet-Spengler reaction of dopamine with chiral aldehydes, achieving kinetic resolution of aldehydes. However, the mechanism and the ... ...

    Abstract Norcoclaurine synthase from Thalictrum flavum (TfNCS) demonstrated high stereospecificity and yield in catalyzing the Pictet-Spengler reaction of dopamine with chiral aldehydes, achieving kinetic resolution of aldehydes. However, the mechanism and the factors contributing to the stereoselectivity remain unclear. Herein, by using quantum chemical calculations, the mechanisms of TfNCS-catalyzed reactions of dopamine with both enantiomers of α-methyl-phenylacetaldehyde are studied. The calculations reveal a mechanism mirroring the reaction of natural substrates, for which the deprotonation of the C5-H of the cyclized intermediate is rate-limiting. The calculated overall barriers are 20.1 kcal mol
    Language English
    Publishing date 2024-03-27
    Publishing country England
    Document type Journal Article
    ZDB-ID 2929562-2
    ISSN 2399-3669 ; 2399-3669
    ISSN (online) 2399-3669
    ISSN 2399-3669
    DOI 10.1038/s42004-024-01146-x
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  5. Article: Deep Personality Trait Recognition: A Survey.

    Zhao, Xiaoming / Tang, Zhiwei / Zhang, Shiqing

    Frontiers in psychology

    2022  Volume 13, Page(s) 839619

    Abstract: Automatic personality trait recognition has attracted increasing interest in psychology, neuropsychology, and computer science, etc. Motivated by the great success of deep learning methods in various tasks, a variety of deep neural networks have ... ...

    Abstract Automatic personality trait recognition has attracted increasing interest in psychology, neuropsychology, and computer science, etc. Motivated by the great success of deep learning methods in various tasks, a variety of deep neural networks have increasingly been employed to learn high-level feature representations for automatic personality trait recognition. This paper systematically presents a comprehensive survey on existing personality trait recognition methods from a computational perspective. Initially, we provide available personality trait data sets in the literature. Then, we review the principles and recent advances of typical deep learning techniques, including deep belief networks (DBNs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs). Next, we describe the details of state-of-the-art personality trait recognition methods with specific focus on hand-crafted and deep learning-based feature extraction. These methods are analyzed and summarized in both single modality and multiple modalities, such as audio, visual, text, and physiological signals. Finally, we analyze the challenges and opportunities in this field and point out its future directions.
    Language English
    Publishing date 2022-05-06
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2022.839619
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  6. Article: [Discussion of Enlightenment from the Reorganization of CDRH Regulatory for Medical Device].

    Shang, Hui / Zhang, Shiqing

    Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation

    2020  Volume 44, Issue 2, Page(s) 154–157

    Abstract: This study introduces the establishment and the situation before and after the reorganization of Center for Devices and Radiological Health (CDRH). Meanwhile, it sorted out the important changes in this reorganization of CDRH. CDRH optimizes regulatory ... ...

    Abstract This study introduces the establishment and the situation before and after the reorganization of Center for Devices and Radiological Health (CDRH). Meanwhile, it sorted out the important changes in this reorganization of CDRH. CDRH optimizes regulatory decisions by integrating pre-marketing and post-marketing professionals for the total product lifecycle of medical devices, based on product line guidelines. Taking the sutatus of Chinese medical device supervision into consideration, this study put forward some thoughts on scientific supervision.
    MeSH term(s) Device Approval ; Marketing ; United States ; United States Food and Drug Administration
    Language Chinese
    Publishing date 2020-05-13
    Publishing country China
    Document type Journal Article
    ISSN 1671-7104
    ISSN 1671-7104
    DOI 10.3969/j.issn.1671-7104.2020.02.012
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  7. Article ; Online: Mechanical Insights into the Enzymatic Cleavage of Double C-C Bond in Poly(

    Zhang, Shiqing / Liu, Yongjun

    Inorganic chemistry

    2020  Volume 59, Issue 14, Page(s) 9627–9637

    Abstract: The b-type cytochrome ... ...

    Abstract The b-type cytochrome Lcp
    MeSH term(s) Bacterial Proteins/chemistry ; Bacterial Proteins/genetics ; Catalytic Domain ; Dioxygenases/chemistry ; Dioxygenases/genetics ; Heme/chemistry ; Hemiterpenes/chemistry ; Latex/chemistry ; Models, Chemical ; Molecular Docking Simulation ; Mutation ; Oxygen/chemistry ; Quantum Theory ; Streptomyces/enzymology
    Chemical Substances Bacterial Proteins ; Hemiterpenes ; Latex ; Heme (42VZT0U6YR) ; 1,4-polyisoprene (9003-31-0) ; Dioxygenases (EC 1.13.11.-) ; Oxygen (S88TT14065)
    Language English
    Publishing date 2020-07-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1484438-2
    ISSN 1520-510X ; 0020-1669
    ISSN (online) 1520-510X
    ISSN 0020-1669
    DOI 10.1021/acs.inorgchem.0c00726
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  8. Article ; Online: A Critical Review on Organic Small Fluorescent Probes for Monitoring Carbon Monoxide in Biology.

    Yan, Liqiang / Yang, Hong / Zhang, Shiqing / Zhou, Cuiping / Lei, Chenghong

    Critical reviews in analytical chemistry

    2022  Volume 53, Issue 8, Page(s) 1792–1806

    Abstract: Endogenous carbon monoxide (CO) is an important intracellular gas messenger that is intimately involved in many physiological and pathological processes. The abnormal concentration of CO in living organisms can cause many diseases. Therefore, it is of ... ...

    Abstract Endogenous carbon monoxide (CO) is an important intracellular gas messenger that is intimately involved in many physiological and pathological processes. The abnormal concentration of CO in living organisms can cause many diseases. Therefore, it is of great significance to monitor CO in biological samples. Fluorescent probe technology provides an effective and convenient method for CO monitoring, with the advantages of high selectivity and sensitivity, fast response time and in situ fluorescence imaging in biological tissues, which is favored by the majority of researchers. In this paper, the research progress of CO fluorescent probes since 2018 is reviewed, and the design, detection mechanism and biological application of the related fluorescent probes are summarized. And the relationship between the structure and performance of the probes is discussed. Furthermore, the development trend and application prospect of CO fluorescent probes are prospected.
    MeSH term(s) Fluorescent Dyes/chemistry ; Carbon Monoxide ; Biology
    Chemical Substances Fluorescent Dyes ; Carbon Monoxide (7U1EE4V452)
    Language English
    Publishing date 2022-03-03
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2030019-0
    ISSN 1547-6510 ; 1040-8347
    ISSN (online) 1547-6510
    ISSN 1040-8347
    DOI 10.1080/10408347.2022.2042670
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  9. Article ; Online: Unsupervised Deep Anomaly Detection for Medical Images Using an Improved Adversarial Autoencoder.

    Zhang, Haibo / Guo, Wenping / Zhang, Shiqing / Lu, Hongsheng / Zhao, Xiaoming

    Journal of digital imaging

    2022  Volume 35, Issue 2, Page(s) 153–161

    Abstract: Anomaly detection has been applied in the various disease of medical practice, such as breast cancer, retinal, lung lesion, and skin disease. However, in real-world anomaly detection, there exist a large number of healthy samples, and but very few sick ... ...

    Abstract Anomaly detection has been applied in the various disease of medical practice, such as breast cancer, retinal, lung lesion, and skin disease. However, in real-world anomaly detection, there exist a large number of healthy samples, and but very few sick samples. To alleviate the problem of data imbalance in anomaly detection, this paper proposes an unsupervised learning method for deep anomaly detection based on an improved adversarial autoencoder, in which a module called chain of convolutional block (CCB) is employed instead of the conventional skip-connections used in adversarial autoencoder. Such CCB connections provide considerable advantages via direct connections, not only preserving both global and local information but also alleviating the problem of semantic disparity between the encoding features and the corresponding decoding features. The proposed method is thus able to capture the distribution of normal samples within both image space and latent vector space. By means of minimizing the reconstruction error within both spaces during training phase, higher reconstruction error during test phase is indicative of an anomaly. Our method is trained only on the healthy persons in order to learn the distribution of normal samples and can detect sick samples based on high deviation from the distribution of normality in an unsupervised way. Experimental results for multiple datasets from different fields demonstrate that the proposed method yields superior performance to state-of-the-art methods.
    MeSH term(s) Diagnostic Imaging ; Humans
    Language English
    Publishing date 2022-01-10
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1033897-4
    ISSN 1618-727X ; 0897-1889
    ISSN (online) 1618-727X
    ISSN 0897-1889
    DOI 10.1007/s10278-021-00558-8
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2941: 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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  10. Article ; Online: A photochromic salicylaldehyde hydrazone derivative based on CN isomerization and ESIPT mechanisms and its detection of Al

    Yan, Liqiang / Yang, Hong / Liu, Nan / Meng, Fengjuan / Zhang, Shiqing

    Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy

    2022  Volume 275, Page(s) 121116

    Abstract: A simple photochromic Schiff base was successfully prepared by the condensation of salicylaldehyde and benzoyl hydrazine. This compound has reversible photochromic properties based on isomerization and ESIPT mechanisms. In organic solvents, after ... ...

    Abstract A simple photochromic Schiff base was successfully prepared by the condensation of salicylaldehyde and benzoyl hydrazine. This compound has reversible photochromic properties based on isomerization and ESIPT mechanisms. In organic solvents, after irradiation with 365 nm UV light for 2 min, the absorption peak at 367 nm of the compound showed a significant decrease, while a double absorption peak appeared at 418 nm and 438 nm, accompanied by a significant change of the solution color from colorless to yellow. The compound can also complex with Al
    MeSH term(s) Aldehydes ; Hydrazones ; Isomerism ; Water
    Chemical Substances Aldehydes ; Hydrazones ; Water (059QF0KO0R) ; salicylaldehyde (17K64GZH20)
    Language English
    Publishing date 2022-03-09
    Publishing country England
    Document type Journal Article
    ZDB-ID 210413-1
    ISSN 1873-3557 ; 0370-8322 ; 0584-8539 ; 1386-1425
    ISSN (online) 1873-3557
    ISSN 0370-8322 ; 0584-8539 ; 1386-1425
    DOI 10.1016/j.saa.2022.121116
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    In stock of ZB MED Bonn / Germany

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