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  1. Article: Phosphate solubilizing microorganisms as a driving force to assist mine phytoremediation.

    Chen, Fei / Ma, Jinyi / Yuan, Qiangliang / Yu, Zihua

    Frontiers in bioengineering and biotechnology

    2023  Volume 11, Page(s) 1201067

    Language English
    Publishing date 2023-05-11
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2719493-0
    ISSN 2296-4185
    ISSN 2296-4185
    DOI 10.3389/fbioe.2023.1201067
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Corrigendum: Phosphate solubilizing microorganisms as a driving force to assist mine phytoremediation.

    Chen, Fei / Ma, Jinyi / Yuan, Qiangliang / Yu, Zihua

    Frontiers in bioengineering and biotechnology

    2023  Volume 11, Page(s) 1273399

    Abstract: This corrects the article DOI: 10.3389/fbioe.2023.1201067.]. ...

    Abstract [This corrects the article DOI: 10.3389/fbioe.2023.1201067.].
    Language English
    Publishing date 2023-10-02
    Publishing country Switzerland
    Document type Published Erratum
    ZDB-ID 2719493-0
    ISSN 2296-4185
    ISSN 2296-4185
    DOI 10.3389/fbioe.2023.1273399
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The Ways to Improve the Ecological Benefits of Carbon Sequestration of Garden Green Space

    Chu Zhixuan / Guan Yanhuan / Ma Jinyi / Yuan Yunjue

    E3S Web of Conferences, Vol 350, p

    2022  Volume 01027

    Abstract: Carbon dioxide is one of the greenhouse gases responsible for global warming, and how to reduce the amount of carbon dioxide in the air is a major issue. Scholars have found that herbaceous flowers can fix 12.16 g•m-2• D-1 carbon dioxide per unit leaf ... ...

    Abstract Carbon dioxide is one of the greenhouse gases responsible for global warming, and how to reduce the amount of carbon dioxide in the air is a major issue. Scholars have found that herbaceous flowers can fix 12.16 g•m-2• D-1 carbon dioxide per unit leaf area in green space, which has a good ecological benefit of carbon sequestration. Therefore, how to further improve the ecological benefits of carbon sequestration has become a concern of landscape architecture industry. This paper summarizes seven kinds of garden green land carbon ecological concrete approaches to improve, including selecting high carbon sequestration ability of plant species, increase high carbon sequestration ability of plant population, rich garden plant hierarchy, increase use native plants, increasing the vertical greening, choose low maintenance plants landscape, choose the appropriate maintenance management way, In order to deal with global warming phenomenon on the full play of green landscape fixed carbon dioxide capacity.
    Keywords Environmental sciences ; GE1-350
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher EDP Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Engineering single-domain antibodies targeting Gasdermin E activation by the chemotherapeutic agent cis-diaminodichloroplatinum.

    Ma, Jinyi / Xu, Jintao / Gao, Qiuyun / Sun, Yanan / Wang, Yu / Liu, Zhe / Ma, Zhenyi

    Biotechnology journal

    2023  Volume 18, Issue 9, Page(s) e2200633

    Abstract: As mediators of pyroptosis, gasdermins (GSDMs) are closely associated with systemic cytotoxicity or so-called side effects and are also involved in the inflammatory response during chemotherapy. Using in situ proximity ligation assay followed by ... ...

    Abstract As mediators of pyroptosis, gasdermins (GSDMs) are closely associated with systemic cytotoxicity or so-called side effects and are also involved in the inflammatory response during chemotherapy. Using in situ proximity ligation assay followed by sequencing (isPLA-seq), which we recently developed, we screened a single-domain antibody (sdAb) library and identified several sdAbs against Gasdermin E (GSDME) that specifically recognize the N-terminal domain (1-270 aa) of GSDME (GSDME-NT). One of them mitigated the release of inflammatory damage-associated molecular patterns (DAMPs) and cytokines, including high mobility group protein b1 (Hmgb1) and interleukin-1β (Il-1β), in isolated mouse alveolar epithelial cells (AECs) upon chemotherapeutic agent cis-diaminodichloroplatinum (CDDP) treatment. Further investigation showed that this anti-GSDME sdAb also alleviated CDDP-induced pyroptotic cell death and lung tissue injury and decreased systemic Hmgb1 release in C57/BL6 mice, due to GSDME inactivation. Collectively, our data define an inhibitory role of the specific sdAb against GSDME, providing a potential strategy for systemically alleviating chemotherapeutic toxicities in vivo.
    MeSH term(s) Animals ; Mice ; Single-Domain Antibodies/pharmacology ; Gasdermins ; HMGB1 Protein/pharmacology ; Pyroptosis/physiology ; Cytokines
    Chemical Substances Single-Domain Antibodies ; Gasdermins ; HMGB1 Protein ; Cytokines
    Language English
    Publishing date 2023-05-23
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2221885-3
    ISSN 1860-7314 ; 1860-6768
    ISSN (online) 1860-7314
    ISSN 1860-6768
    DOI 10.1002/biot.202200633
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6349: 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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  5. Article: The Al-Containing Silicates Modified with Organic Ligands and SnO

    Ma, Jinyi / Wu, Yong / Pan, Qin / Wang, Xiangdong / Li, Xiaoyong / Li, Qiujuan / Xu, Xiaoshuai / Yao, Yuan / Sun, Yang

    Nanomaterials (Basel, Switzerland)

    2023  Volume 13, Issue 3

    Abstract: The Baeyer-Villiger Oxidation (BVO) of ketones and aldehydes produce lactones and formates, while aerobic carboxylation of aldehydes manufactures carboxylic acids, both having high added value. This work prepared a series of Al-containing silicates ... ...

    Abstract The Baeyer-Villiger Oxidation (BVO) of ketones and aldehydes produce lactones and formates, while aerobic carboxylation of aldehydes manufactures carboxylic acids, both having high added value. This work prepared a series of Al-containing silicates modified with organic ligands and SnO
    Language English
    Publishing date 2023-01-20
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662255-5
    ISSN 2079-4991
    ISSN 2079-4991
    DOI 10.3390/nano13030433
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Discovery of a Subnanomolar Inhibitor of Protoporphyrinogen IX Oxidase

    Zheng, Bai-Feng / Wang, Zhi-Zheng / Dong, Jin / Ma, Jin-Yi / Zuo, Yang / Wu, Qiong-You / Yang, Guang-Fu

    Journal of agricultural and food chemistry

    2023  Volume 71, Issue 23, Page(s) 8746–8756

    Abstract: Protoporphyrinogen IX oxidase (PPO, E.C. 1.3.3.4), a key functional enzyme existing in various organisms, is acknowledged to be one of the most important action targets in the development of herbicides due to its pivotal roles in chlorophyll and heme ... ...

    Abstract Protoporphyrinogen IX oxidase (PPO, E.C. 1.3.3.4), a key functional enzyme existing in various organisms, is acknowledged to be one of the most important action targets in the development of herbicides due to its pivotal roles in chlorophyll and heme biosynthesis pathways. As our persistent research work on the discovery of novel PPO-inhibiting herbicides, a new compound methyl 2-((5-(3-chloro-4,5,6,7-tetrahydro-2
    MeSH term(s) Protoporphyrinogen Oxidase ; Enzyme Inhibitors/pharmacology ; Weed Control ; Herbicides/pharmacology ; Plant Weeds ; Nicotiana/metabolism
    Chemical Substances Protoporphyrinogen Oxidase (EC 1.3.3.4) ; Enzyme Inhibitors ; Herbicides
    Language English
    Publishing date 2023-06-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 241619-0
    ISSN 1520-5118 ; 0021-8561
    ISSN (online) 1520-5118
    ISSN 0021-8561
    DOI 10.1021/acs.jafc.3c00168
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1172: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  7. Article ; Online: Synthesis and Biological Activity Evaluation of Benzoxazinone-Pyrimidinedione Hybrids as Potent Protoporphyrinogen IX Oxidase Inhibitor.

    Zheng, Bai-Feng / Zuo, Yang / Huang, Guang-Yi / Wang, Zhi-Zheng / Ma, Jin-Yi / Wu, Qiong-You / Yang, Guang-Fu

    Journal of agricultural and food chemistry

    2023  Volume 71, Issue 39, Page(s) 14221–14231

    Abstract: Protoporphyrinogen IX oxidase (PPO/Protox, E.C. 1.3.3.4) is recognized as one of the most important targets for herbicide discovery. In this study, we report our ongoing research efforts toward the discovery of novel PPO inhibitors. Specifically, we ... ...

    Abstract Protoporphyrinogen IX oxidase (PPO/Protox, E.C. 1.3.3.4) is recognized as one of the most important targets for herbicide discovery. In this study, we report our ongoing research efforts toward the discovery of novel PPO inhibitors. Specifically, we identified a highly potent new compound series containing a pyrimidinedione moiety and bearing a versatile building block-benzoxazinone scaffold. Systematic bioassays resulted in the discovery of compound
    MeSH term(s) Humans ; Benzoxazines/pharmacology ; Benzoxazines/chemistry ; Protoporphyrinogen Oxidase ; Enzyme Inhibitors/chemistry ; Herbicides/chemistry ; Nicotiana/metabolism
    Chemical Substances Benzoxazines ; Protoporphyrinogen Oxidase (EC 1.3.3.4) ; Enzyme Inhibitors ; Herbicides
    Language English
    Publishing date 2023-09-20
    Publishing country United States
    Document type Journal Article
    ZDB-ID 241619-0
    ISSN 1520-5118 ; 0021-8561
    ISSN (online) 1520-5118
    ISSN 0021-8561
    DOI 10.1021/acs.jafc.3c03593
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1172: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  8. Book ; Online: Fault Detection and Classification of Aerospace Sensors using a VGG16-based Deep Neural Network

    Li, Zhongzhi / Zhao, Yunmei / Ma, Jinyi / Ai, Jianliang / Dong, Yiqun

    2022  

    Abstract: Compared with traditional model-based fault detection and classification (FDC) methods, deep neural networks (DNN) prove to be effective for the aerospace sensors FDC problems. However, time being consumed in training the DNN is excessive, and ... ...

    Abstract Compared with traditional model-based fault detection and classification (FDC) methods, deep neural networks (DNN) prove to be effective for the aerospace sensors FDC problems. However, time being consumed in training the DNN is excessive, and explainability analysis for the FDC neural network is still underwhelming. A concept known as imagefication-based intelligent FDC has been studied in recent years. This concept advocates to stack the sensors measurement data into an image format, the sensors FDC issue is then transformed to abnormal regions detection problem on the stacked image, which may well borrow the recent advances in the machine vision vision realm. Although promising results have been claimed in the imagefication-based intelligent FDC researches, due to the low size of the stacked image, small convolutional kernels and shallow DNN layers were used, which hinders the FDC performance. In this paper, we first propose a data augmentation method which inflates the stacked image to a larger size (correspondent to the VGG16 net developed in the machine vision realm). The FDC neural network is then trained via fine-tuning the VGG16 directly. To truncate and compress the FDC net size (hence its running time), we perform model pruning on the fine-tuned net. Class activation mapping (CAM) method is also adopted for explainability analysis of the FDC net to verify its internal operations. Via data augmentation, fine-tuning from VGG16, and model pruning, the FDC net developed in this paper claims an FDC accuracy 98.90% across 4 aircraft at 5 flight conditions (running time 26 ms). The CAM results also verify the FDC net w.r.t. its internal operations.
    Keywords Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Machine Learning
    Subject code 006
    Publishing date 2022-07-26
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Book ; Online: Augmented Imagefication

    Zhao, Hang / Ma, Jinyi / Li, Zhongzhi / Dong, Yiqun / Ai, Jianliang

    A Data-driven Fault Detection Method for Aircraft Air Data Sensors

    2022  

    Abstract: In this paper, a novel data-driven approach named Augmented Imagefication for Fault detection (FD) of aircraft air data sensors (ADS) is proposed. Exemplifying the FD problem of aircraft air data sensors, an online FD scheme on edge device based on deep ... ...

    Abstract In this paper, a novel data-driven approach named Augmented Imagefication for Fault detection (FD) of aircraft air data sensors (ADS) is proposed. Exemplifying the FD problem of aircraft air data sensors, an online FD scheme on edge device based on deep neural network (DNN) is developed. First, the aircraft inertial reference unit measurements is adopted as equivalent inputs, which is scalable to different aircraft/flight cases. Data associated with 6 different aircraft/flight conditions are collected to provide diversity (scalability) in the training/testing database. Then Augmented Imagefication is proposed for the DNN-based prediction of flying conditions. The raw data are reshaped as a grayscale image for convolutional operation, and the necessity of augmentation is analyzed and pointed out. Different kinds of augmented method, i.e. Flip, Repeat, Tile and their combinations are discussed, the result shows that the All Repeat operation in both axes of image matrix leads to the best performance of DNN. The interpretability of DNN is studied based on Grad-CAM, which provide a better understanding and further solidifies the robustness of DNN. Next the DNN model, VGG-16 with augmented imagefication data is optimized for mobile hardware deployment. After pruning of DNN, a lightweight model (98.79% smaller than original VGG-16) with high accuracy (slightly up by 0.27%) and fast speed (time delay is reduced by 87.54%) is obtained. And the hyperparameters optimization of DNN based on TPE is implemented and the best combination of hyperparameters is determined (learning rate 0.001, iterative epochs 600, and batch size 100 yields the highest accuracy at 0.987). Finally, a online FD deployment based on edge device, Jetson Nano, is developed and the real time monitoring of aircraft is achieved. We believe that this method is instructive for addressing the FD problems in other similar fields.

    Comment: a crucial design defect to acquire flying data by simulation
    Keywords Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Artificial Intelligence
    Subject code 006
    Publishing date 2022-06-17
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Single-domain antibody screening by

    Yin, Yueyuan / Yan, Fei / Zhou, Ruimin / Li, Mingchen / Ma, Jinyi / Liu, Zhe / Ma, Zhenyi

    Life science alliance

    2021  Volume 5, Issue 1

    Abstract: Single-domain antibody (sdAb) holds the promising strategies for diverse research and translational applications. Here, we describe a method for the adaptation of the in situ proximity ligation assay ( ...

    Abstract Single-domain antibody (sdAb) holds the promising strategies for diverse research and translational applications. Here, we describe a method for the adaptation of the in situ proximity ligation assay (
    MeSH term(s) Base Sequence ; Cell Line ; Complementarity Determining Regions/chemistry ; Complementarity Determining Regions/immunology ; Gene Library ; High-Throughput Screening Assays/methods ; Humans ; Immunophenotyping ; Molecular Imaging ; Sequestosome-1 Protein/immunology ; Single-Domain Antibodies/chemistry ; Single-Domain Antibodies/immunology
    Chemical Substances Complementarity Determining Regions ; SQSTM1 protein, human ; Sequestosome-1 Protein ; Single-Domain Antibodies
    Language English
    Publishing date 2021-10-21
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2575-1077
    ISSN (online) 2575-1077
    DOI 10.26508/lsa.202101115
    Database MEDical Literature Analysis and Retrieval System OnLINE

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