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  1. Article: Characterization of the Heat Shock Transcription Factor Family in

    Wang, Ning / Shu, Xiaochun / Zhang, Fengjiao / Song, Guowei / Wang, Zhong

    Plants (Basel, Switzerland)

    2024  Volume 13, Issue 2

    Abstract: Heat shock transcription factors (HSFs) are an essential plant-specific transcription factor family that regulates the developmental and growth stages of plants, their signal transduction, and their response to different abiotic and biotic stresses. The ... ...

    Abstract Heat shock transcription factors (HSFs) are an essential plant-specific transcription factor family that regulates the developmental and growth stages of plants, their signal transduction, and their response to different abiotic and biotic stresses. The HSF gene family has been characterized and systematically observed in various species; however, research on its association with
    Language English
    Publishing date 2024-01-17
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704341-1
    ISSN 2223-7747
    ISSN 2223-7747
    DOI 10.3390/plants13020271
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Establishing a Virus-Induced Gene Silencing System in

    Cheng, Guanghao / Shu, Xiaochun / Wang, Zhong / Wang, Ning / Zhang, Fengjiao

    Plants (Basel, Switzerland)

    2023  Volume 12, Issue 13

    Abstract: ... ...

    Abstract Lycoris
    Language English
    Publishing date 2023-06-27
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704341-1
    ISSN 2223-7747
    ISSN 2223-7747
    DOI 10.3390/plants12132458
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Res-NeuS: Deep Residuals and Neural Implicit Surface Learning for Multi-View Reconstruction.

    Wang, Wei / Gao, Fengjiao / Shen, Yongliang

    Sensors (Basel, Switzerland)

    2024  Volume 24, Issue 3

    Abstract: Surface reconstruction using neural networks has proven effective in reconstructing dense 3D surfaces through image-based neural rendering. Nevertheless, current methods are challenging when dealing with the intricate details of large-scale scenes. The ... ...

    Abstract Surface reconstruction using neural networks has proven effective in reconstructing dense 3D surfaces through image-based neural rendering. Nevertheless, current methods are challenging when dealing with the intricate details of large-scale scenes. The high-fidelity reconstruction performance of neural rendering is constrained by the view sparsity and structural complexity of such scenes. In this paper, we present Res-NeuS, a method combining ResNet-50 and neural surface rendering for dense 3D reconstruction. Specifically, we present appearance embeddings: ResNet-50 is used to extract the appearance depth features of an image to further capture more scene details. We interpolate points near the surface and optimize their weights for the accurate localization of 3D surfaces. We introduce photometric consistency and geometric constraints to optimize 3D surfaces and eliminate geometric ambiguity existing in current methods. Finally, we design a 3D geometry automatic sampling to filter out uninteresting areas and reconstruct complex surface details in a coarse-to-fine manner. Comprehensive experiments demonstrate Res-NeuS's superior capability in the reconstruction of 3D surfaces in complex, large-scale scenes, and the harmful distance of the reconstructed 3D model is 0.4 times that of general neural rendering 3D reconstruction methods and 0.6 times that of traditional 3D reconstruction methods.
    Language English
    Publishing date 2024-01-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s24030881
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Transcriptome-wide characterization of bHLH transcription factor genes in

    Wang, Ning / Shu, Xiaochun / Zhang, Fengjiao / Wang, Zhong

    Frontiers in plant science

    2023  Volume 13, Page(s) 975530

    Abstract: As one of the biggest plant specific transcription factor (TF) families, basic helix-loop-helix (bHLH) protein, plays significant roles in plant growth, development, and abiotic stress responses. However, there has been minimal research about the effects ...

    Abstract As one of the biggest plant specific transcription factor (TF) families, basic helix-loop-helix (bHLH) protein, plays significant roles in plant growth, development, and abiotic stress responses. However, there has been minimal research about the effects of methyl jasmonate (MeJA) treatment on the
    Language English
    Publishing date 2023-01-10
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2613694-6
    ISSN 1664-462X
    ISSN 1664-462X
    DOI 10.3389/fpls.2022.975530
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Horseradish peroxidase-catalyzed polyacrylamide gels: monitoring their polymerization with BSA-stabilized gold nanoclusters and their functional validation in electrophoresis.

    Liao, Chang / Li, Tao / Chen, Fengjiao / Yan, Shaoying / Zhu, Liying / Tang, Hua / Wang, Dan

    RSC advances

    2024  Volume 14, Issue 4, Page(s) 2182–2191

    Abstract: Polyacrylamide gel (PAG) is extensively used as a matrix for biomolecular analysis and fractionation. However, the traditional polymerization catalyst ... ...

    Abstract Polyacrylamide gel (PAG) is extensively used as a matrix for biomolecular analysis and fractionation. However, the traditional polymerization catalyst system
    Language English
    Publishing date 2024-01-10
    Publishing country England
    Document type Journal Article
    ISSN 2046-2069
    ISSN (online) 2046-2069
    DOI 10.1039/d3ra07208h
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: A dual-function [Ru(bpy)

    Li, Huijun / Wang, Yanan / Jiang, Fengjiao / Li, Manman / Xu, Zhouqing

    Dalton transactions (Cambridge, England : 2003)

    2023  Volume 52, Issue 12, Page(s) 3846–3854

    Abstract: In this work, a novel composite material (HPU-24@Ru) has been prepared by combining a blue-emission Cd-based metal-organic framework (MOF, [ ... ...

    Abstract In this work, a novel composite material (HPU-24@Ru) has been prepared by combining a blue-emission Cd-based metal-organic framework (MOF, [Cd
    Language English
    Publishing date 2023-03-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 1472887-4
    ISSN 1477-9234 ; 1364-5447 ; 0300-9246 ; 1477-9226
    ISSN (online) 1477-9234 ; 1364-5447
    ISSN 0300-9246 ; 1477-9226
    DOI 10.1039/d2dt03388g
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: CAC: Confidence-Aware Co-Training for Weakly Supervised Crack Segmentation.

    Liang, Fengjiao / Li, Qingyong / Li, Xiaobao / Liu, Yang / Wang, Wen

    Entropy (Basel, Switzerland)

    2024  Volume 26, Issue 4

    Abstract: Automatic crack segmentation plays an essential role in maintaining the structural health of buildings and infrastructure. Despite the success in fully supervised crack segmentation, the costly pixel-level annotation restricts its application, leading to ...

    Abstract Automatic crack segmentation plays an essential role in maintaining the structural health of buildings and infrastructure. Despite the success in fully supervised crack segmentation, the costly pixel-level annotation restricts its application, leading to increased exploration in weakly supervised crack segmentation (WSCS). However, WSCS methods inevitably bring in noisy pseudo-labels, which results in large fluctuations. To address this problem, we propose a novel confidence-aware co-training (CAC) framework for WSCS. This framework aims to iteratively refine pseudo-labels, facilitating the learning of a more robust segmentation model. Specifically, a co-training mechanism is designed and constructs two collaborative networks to learn uncertain crack pixels, from easy to hard. Moreover, the dynamic division strategy is designed to divide the pseudo-labels based on the crack confidence score. Among them, the high-confidence pseudo-labels are utilized to optimize the initialization parameters for the collaborative network, while low-confidence pseudo-labels enrich the diversity of crack samples. Extensive experiments conducted on the Crack500, DeepCrack, and CFD datasets demonstrate that the proposed CAC significantly outperforms other WSCS methods.
    Language English
    Publishing date 2024-04-12
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2014734-X
    ISSN 1099-4300 ; 1099-4300
    ISSN (online) 1099-4300
    ISSN 1099-4300
    DOI 10.3390/e26040328
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Agronomic, physiological and transcriptional characteristics provide insights into fatty acid biosynthesis in yellowhorn (

    Liu, Guan / Liu, Fengjiao / Pan, Lin / Wang, Hanhui / Lu, Yanan / Liu, Changhua / Yu, Song / Hu, Xiaohang

    Frontiers in genetics

    2024  Volume 15, Page(s) 1325484

    Abstract: Yellowhorn ( ...

    Abstract Yellowhorn (
    Language English
    Publishing date 2024-01-31
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2024.1325484
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Clostridium ramosum

    Bao, Danni / Xu, Xiaohong / Wang, Yizhang / Zhu, Fengjiao / Wu, Yanhong / Li, Hongzhang

    Infection and drug resistance

    2023  Volume 16, Page(s) 4455–4461

    Abstract: We report a case ... ...

    Abstract We report a case of
    Language English
    Publishing date 2023-07-08
    Publishing country New Zealand
    Document type Case Reports
    ZDB-ID 2494856-1
    ISSN 1178-6973
    ISSN 1178-6973
    DOI 10.2147/IDR.S421409
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Wireless Sensor System Based on Organohydrogel Ionic Skin for Physiological Activity Monitoring.

    Yang, Congcong / Ji, Chenchen / Guo, Fengjiao / Mi, Hongyu / Wang, Yongwei / Qiu, Jieshan

    ACS applied materials & interfaces

    2024  

    Abstract: Supermolecular hydrogel ionic skin (i-skin) linked with smartphones has attracted widespread attention in physiological activity detection due to its good stability in complex scenarios. However, the low ionic conductivity, inferior mechanical properties, ...

    Abstract Supermolecular hydrogel ionic skin (i-skin) linked with smartphones has attracted widespread attention in physiological activity detection due to its good stability in complex scenarios. However, the low ionic conductivity, inferior mechanical properties, poor contact adhesion, and insufficient freeze resistance of most used hydrogels limit their practical application in flexible electronics. Herein, a novel multifunctional poly(vinyl alcohol)-based conductive organohydrogel (PCEL
    Language English
    Publishing date 2024-05-02
    Publishing country United States
    Document type Journal Article
    ISSN 1944-8252
    ISSN (online) 1944-8252
    DOI 10.1021/acsami.3c19473
    Database MEDical Literature Analysis and Retrieval System OnLINE

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