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  1. Article ; Online: A Morpholine Derivative N-(4-Morpholinomethylene)ethanesulfonamide Induces Ferroptosis in Tumor Cells by Targeting NRF2.

    Sun, Bingchun / Zhang, Ligang / Wu, Binhua / Luo, Xiping

    Biological & pharmaceutical bulletin

    2024  Volume 47, Issue 2, Page(s) 417–426

    Abstract: Small molecule drugs containing morpholine-based moieties have become crucial candidates in the tumor targeted therapy strategies, but the specific molecular mechanisms of these drugs causing tumor cell death require further investigation. The morpholine ...

    Abstract Small molecule drugs containing morpholine-based moieties have become crucial candidates in the tumor targeted therapy strategies, but the specific molecular mechanisms of these drugs causing tumor cell death require further investigation. The morpholine derivative N-(4-morpholinomethylene)ethanesulfonamide (MESA) was used to stimulate prostate and ovarian cancer cells and we focused on the ferroptosis effects, including the target molecule and signal pathways mediated by MESA. The results showed that MESA could induce ferroptosis to cause the proliferation inhibition and apoptosis effects of tumor cells according to the identification of ferroptosis inhibitor fer-1 and other cell death inhibitors. Further MESA could significantly increase the intracellular malondialdehyde (MDA), reactive oxygen species (ROS) and Fe
    MeSH term(s) Male ; Female ; Humans ; Ferroptosis ; Kelch-Like ECH-Associated Protein 1 ; Molecular Docking Simulation ; NF-E2-Related Factor 2 ; Prospective Studies ; Reactive Oxygen Species ; Morpholines/pharmacology ; Ovarian Neoplasms/drug therapy
    Chemical Substances Kelch-Like ECH-Associated Protein 1 ; NF-E2-Related Factor 2 ; Reactive Oxygen Species ; Morpholines
    Language English
    Publishing date 2024-01-30
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 1150271-x
    ISSN 1347-5215 ; 0918-6158
    ISSN (online) 1347-5215
    ISSN 0918-6158
    DOI 10.1248/bpb.b23-00544
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1474: 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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  2. Article ; Online: Pt/Mn

    Xue, Jia / Wu, Xiang / Feng, Ligang

    Chemical communications (Cambridge, England)

    2022  

    Abstract: Pt particles anchored onto ... ...

    Abstract Pt particles anchored onto Mn
    Language English
    Publishing date 2022-01-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 1472881-3
    ISSN 1364-548X ; 1359-7345 ; 0009-241X
    ISSN (online) 1364-548X
    ISSN 1359-7345 ; 0009-241X
    DOI 10.1039/d2cc00105e
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Semi-Supervised 3D Shape Segmentation via Self Refining.

    Shu, Zhenyu / Wu, Teng / Shen, Jiajun / Xin, Shiqing / Liu, Ligang

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

    2024  Volume 33, Page(s) 2044–2057

    Abstract: 3D shape segmentation is a fundamental and crucial task in the field of image processing and 3D shape analysis. To segment 3D shapes using data-driven methods, a fully labeled dataset is usually required. However, obtaining such a dataset can be a ... ...

    Abstract 3D shape segmentation is a fundamental and crucial task in the field of image processing and 3D shape analysis. To segment 3D shapes using data-driven methods, a fully labeled dataset is usually required. However, obtaining such a dataset can be a daunting task, as manual face-level labeling is both time-consuming and labor-intensive. In this paper, we present a semi-supervised framework for 3D shape segmentation that uses a small, fully labeled set of 3D shapes, as well as a weakly labeled set of 3D shapes with sparse scribble labels. Our framework first employs an auxiliary network to generate initial fully labeled segmentation labels for the sparsely labeled dataset, which helps in training the primary network. During training, the self-refine module uses increasingly accurate predictions of the primary network to improve the labels generated by the auxiliary network. Our proposed method achieves better segmentation performance than previous semi-supervised methods, as demonstrated by extensive benchmark tests, while also performing comparably to supervised methods.
    Language English
    Publishing date 2024-03-18
    Publishing country United States
    Document type Journal Article
    ISSN 1941-0042
    ISSN (online) 1941-0042
    DOI 10.1109/TIP.2024.3374200
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: High-performance bismuth vanadate photoanodes cocatalyzed with nitrogen, sulphur co-doped ferrocobalt-metal organic frameworks thin layer for photoelectrochemical water splitting.

    Xia, Ligang / Cheng, Xinsheng / Jiang, Liwen / Min, Yulin / Yao, Weifeng / Wu, Qiang / Xu, Qunjie

    Journal of colloid and interface science

    2024  Volume 659, Page(s) 676–686

    Abstract: In this study, we prepare a highly efficient ... ...

    Abstract In this study, we prepare a highly efficient BiVO
    Language English
    Publishing date 2024-01-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 241597-5
    ISSN 1095-7103 ; 0021-9797
    ISSN (online) 1095-7103
    ISSN 0021-9797
    DOI 10.1016/j.jcis.2024.01.049
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

    Z 71/707: Show issues

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  5. Article ; Online: Rational Biomimetic Construction of Lignin-based Carbon Nanozyme for Identification of Uric Acid in Human Urine.

    Sun, Qijun / Xu, Xiaoyu / Wu, Meng / Niu, Na / Chen, Ligang

    Talanta

    2024  Volume 271, Page(s) 125657

    Abstract: Nanozymes have made remarkable progress in the field of sensing assays by replacing native enzyme functions. However, it is still a challenge to rationally design active centers from molecular structure to enhance the catalytic performance and develop ... ...

    Abstract Nanozymes have made remarkable progress in the field of sensing assays by replacing native enzyme functions. However, it is still a challenge to rationally design active centers from molecular structure to enhance the catalytic performance and develop low-cost nanozymes. In this work, guided by the catalytic site of horseradish peroxidase (HRP), iron source and histidine were coupled to the main chain of aminated sodium lignosulfonate (SL) through the self-assembly biomimetic strategy to construct His-SL-Fe with peroxidase activity. The inherent functional groups and basic framework of aminated SL provide a robust environment and promote the formation of active sites. His-SL-Fe shows excellent robustness over multiple test cycles and has a strong affinity for the substrate compared to HRP. His-SL-Fe had been effectively integrated in the sensing system for catalytic detection of uric acid (UA) to achieve accurate recognition of UA in the range of 0.5-100 μM with the limit of detection as low as 0.18 μM. The recovery of human urine samples is in the range of 96.8%-106.1 % and the error is within 4 %. This work not only provides a new approach for the directed design of high-performance nanozymes, but also demonstrates promising ideas for the refined application of biomass resources.
    MeSH term(s) Humans ; Carbon/chemistry ; Uric Acid ; Lignin ; Biomimetics ; Horseradish Peroxidase ; Colorimetry ; Peroxidase/chemistry ; Hydrogen Peroxide
    Chemical Substances Carbon (7440-44-0) ; Uric Acid (268B43MJ25) ; Lignin (9005-53-2) ; Horseradish Peroxidase (EC 1.11.1.-) ; Peroxidase (EC 1.11.1.7) ; Hydrogen Peroxide (BBX060AN9V)
    Language English
    Publishing date 2024-01-09
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1500969-5
    ISSN 1873-3573 ; 0039-9140
    ISSN (online) 1873-3573
    ISSN 0039-9140
    DOI 10.1016/j.talanta.2024.125657
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Improving Robustness of Intent Detection Under Adversarial Attacks: A Geometric Constraint Perspective.

    Qi, Biqing / Zhou, Bowen / Zhang, Weinan / Liu, Jianxing / Wu, Ligang

    IEEE transactions on neural networks and learning systems

    2024  Volume 35, Issue 5, Page(s) 6133–6144

    Abstract: Deep neural networks (DNNs)-based natural language processing (NLP) systems are vulnerable to being fooled by adversarial examples presented in recent studies. Intent detection tasks in dialog systems are no exception, however, relatively few works have ... ...

    Abstract Deep neural networks (DNNs)-based natural language processing (NLP) systems are vulnerable to being fooled by adversarial examples presented in recent studies. Intent detection tasks in dialog systems are no exception, however, relatively few works have been attempted on the defense side. The combination of linear classifier and softmax is widely used in most defense methods for other NLP tasks. Unfortunately, it does not encourage the model to learn well-separated feature representations. Thus, it is easy to induce adversarial examples. In this article, we propose a simple, yet efficient defense method from the geometric constraint perspective. Specifically, we first propose an M-similarity metric to shrink variances of intraclass features. Intuitively, better geometric conditions of feature space can bring lower misclassification probability (MP). Therefore, we derive the optimal geometric constraints of anchors within each category from the overall MP (OMP) with theoretical guarantees. Due to the nonconvex characteristic of the optimal geometric condition, it is hard to satisfy the traditional optimization process. To this end, we regard such geometric constraints as manifold optimization processes in the Stiefel manifold, thus naturally avoiding the above challenges. Experimental results demonstrate that our method can significantly improve robustness compared with baselines, while retaining the excellent performance on normal examples.
    Language English
    Publishing date 2024-05-02
    Publishing country United States
    Document type Journal Article
    ISSN 2162-2388
    ISSN (online) 2162-2388
    DOI 10.1109/TNNLS.2023.3267460
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Adaptive Decentralized Control for Constrained Strong Interconnected Nonlinear Systems and Its Application to Inverted Pendulum.

    Feng, Zhiguang / Li, Rui-Bing / Wu, Ligang

    IEEE transactions on neural networks and learning systems

    2023  Volume PP

    Abstract: This work is dedicated to adaptive decentralized tracking control for a class of strong interconnected nonlinear systems with asymmetric constraints. Currently, there are few related studies on unknown strongly interconnected nonlinear systems with ... ...

    Abstract This work is dedicated to adaptive decentralized tracking control for a class of strong interconnected nonlinear systems with asymmetric constraints. Currently, there are few related studies on unknown strongly interconnected nonlinear systems with asymmetric time-varying constraints. To deal with the assumptions of the interconnection terms in the design process, which include upper functions and structural restrictions, the properties of Gaussian function in radial basis function (RBF) neural networks are applied to overcome this difficulty. By constructing the nonlinear state-dependent function (NSDF) and using a new coordinate transformation, the conservative step that the original state constraint converts into a new boundary of the tracking error is removed. Meanwhile, the virtual controller's feasibility condition is removed. It is proven that all the signals are bounded, especially the original tracking error and the new tracking error, which are both bounded. In the end, simulation studies are carried out to verify the effectiveness and benefits of the proposed control scheme.
    Language English
    Publishing date 2023-01-30
    Publishing country United States
    Document type Journal Article
    ISSN 2162-2388
    ISSN (online) 2162-2388
    DOI 10.1109/TNNLS.2023.3238819
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: A Maturity Detection Method for Hemerocallis Citrina Baroni Based on Lightweight and Attention Mechanism

    Bin Sheng / Ligang Wu / Nan Zhang

    Applied Sciences, Vol 13, Iss 21, p

    2023  Volume 12043

    Abstract: Hemerocallis citrina Baroni with different maturity levels has different uses for food and medicine and has different economic benefits and sales value. However, the growth speed of Hemerocallis citrina Baroni is fast, the harvesting cycle is short, and ... ...

    Abstract Hemerocallis citrina Baroni with different maturity levels has different uses for food and medicine and has different economic benefits and sales value. However, the growth speed of Hemerocallis citrina Baroni is fast, the harvesting cycle is short, and the maturity identification is completely dependent on experience, so the harvesting efficiency is low, the dependence on manual labor is large, and the identification standard is not uniform. In this paper, we propose a GCB YOLOv7 Hemerocallis citrina Baroni maturity detection method based on a lightweight neural network and attention mechanism. First, lightweight Ghost convolution is introduced to reduce the difficulty of feature extraction and decrease the number of computations and parameters of the model. Second, between the feature extraction backbone network and the feature fusion network, the CBAM mechanism is added to perform the feature extraction independently in the channel and spatial dimensions, which improves the tendency of the feature extraction and enhances the expressive ability of the model. Last, in the feature fusion network, Bi FPN is used instead of the concatenate feature fusion method, which increases the information fusion channels while decreasing the number of edge nodes and realizing cross-channel information fusion. The experimental results show that the improved GCB YOLOv7 algorithm reduces the number of parameters and floating-point operations by about 2.03 million and 7.3 G, respectively. The training time is reduced by about 0.122 h, and the model volume is compressed from 74.8 M to 70.8 M. In addition, the average precision is improved from 91.3% to 92.2%, mAP@0.5 and mAP@0.5:0.95 are improved by about 1.38% and 0.20%, respectively, and the detection efficiency reaches 10 ms/frame, which meets the real-time performance requirements. It can be seen that the improved GCB YOLOv7 algorithm is not only lightweight but also effectively improves detection precision.
    Keywords deep learning ; neural network ; channel information fusion ; intelligent agriculture ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Language English
    Publishing date 2023-11-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Authors' response to "Comment on 'The efficacy of progressive muscle relaxation training on cancer-related fatigue and quality of life in cancer patients: A systematic review and meta-analysis of randomized controlled studies'".

    Wang, Yajiao / Yang, Liu / Lin, Guijiao / Huang, Bichun / Sheng, Xia / Wang, Ligang / Chen, Liuyin / Qiu, Xiahua / Wu, Xinlei / Lin, Rujia

    International journal of nursing studies

    2024  Volume 154, Page(s) 104760

    Language English
    Publishing date 2024-03-19
    Publishing country England
    Document type Journal Article
    ZDB-ID 80148-3
    ISSN 1873-491X ; 0020-7489
    ISSN (online) 1873-491X
    ISSN 0020-7489
    DOI 10.1016/j.ijnurstu.2024.104760
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 130: Show issues Location:
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  10. Article ; Online: Spatio-temporal patterns and drivers of CH

    Fan, Longfeng / Cheng, Junxiang / Xie, Yangcun / Xu, Ligang / Buttler, Alexandre / Wu, Yuexia / Fan, Hongxiang / Wu, Yakun

    The Science of the total environment

    2024  Volume 918, Page(s) 170689

    Abstract: Gaseous carbon exchange at the water-air interface of rivers and lakes is an essential process for regional and global carbon cycle assessments. Many studies have shown that rivers surrounding urban landscapes can be hotspots for greenhouse gas (GHG) ... ...

    Abstract Gaseous carbon exchange at the water-air interface of rivers and lakes is an essential process for regional and global carbon cycle assessments. Many studies have shown that rivers surrounding urban landscapes can be hotspots for greenhouse gas (GHG) emissions. Here we investigated the variability of diffusive GHG (methane [CH
    Language English
    Publishing date 2024-02-04
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2024.170689
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 949: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (1.OG)
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