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  1. Article ; Online: Discovery of diverse

    Jin, Changfei / Chen, Hong / Mai, Huijuan / Hou, Xianguang / Yang, Xianfeng / Zhai, Dayou

    PeerJ

    2024  Volume 12, Page(s) e17230

    Abstract: ... ...

    Abstract Pectocaris
    MeSH term(s) Animals ; Arthropods/anatomy & histology ; Fossils ; Bivalvia ; China ; Biota
    Language English
    Publishing date 2024-04-15
    Publishing country United States
    Document type Review ; Journal Article
    ZDB-ID 2703241-3
    ISSN 2167-8359 ; 2167-8359
    ISSN (online) 2167-8359
    ISSN 2167-8359
    DOI 10.7717/peerj.17230
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: In situ

    Yang, Xiaohui / Wan, Jin / Zhang, Huijuan / Wang, Yu

    Chemical science

    2022  Volume 13, Issue 37, Page(s) 11030–11037

    Abstract: The electrochemical ... ...

    Abstract The electrochemical N
    Language English
    Publishing date 2022-08-29
    Publishing country England
    Document type Journal Article
    ZDB-ID 2559110-1
    ISSN 2041-6539 ; 2041-6520
    ISSN (online) 2041-6539
    ISSN 2041-6520
    DOI 10.1039/d2sc03975c
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Biohydrogenation of 1,3-Butadiene to 1-Butene under Acetogenic Conditions by

    Yang, Yi / Jin, Huijuan / Li, Xiuying / Yan, Jun

    Environmental science & technology

    2023  Volume 57, Issue 4, Page(s) 1637–1645

    Abstract: The environmental fate and transformation mechanism(s) of 1,3-butadiene (BD) under anoxic conditions remain largely unexplored. Anaerobic consortia that can biohydrogenate BD to stoichiometric amounts of 1-butene at a maximum rate of 205.7 ± 38.6 μM ... ...

    Abstract The environmental fate and transformation mechanism(s) of 1,3-butadiene (BD) under anoxic conditions remain largely unexplored. Anaerobic consortia that can biohydrogenate BD to stoichiometric amounts of 1-butene at a maximum rate of 205.7 ± 38.6 μM day
    MeSH term(s) Acetobacterium/genetics ; RNA, Ribosomal, 16S
    Chemical Substances 1,3-butadiene (JSD5FGP5VD) ; 1-butene (LY001N554L) ; RNA, Ribosomal, 16S
    Language English
    Publishing date 2023-01-17
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1520-5851
    ISSN (online) 1520-5851
    DOI 10.1021/acs.est.2c05683
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Environment Endurable, Self-Healing, Super-Adhesive, and Mechanically Strong Ionogels for Reliable Sensing.

    Jin, Zhengxu / Liu, Hongyan / Zhang, Huijuan

    Macromolecular rapid communications

    2023  Volume 45, Issue 2, Page(s) e2300457

    Abstract: Ionogels possess high conductivity, stretchability, and adhesion, making them promising as flexible sensors. However, it remains challenging to fabricate an ionogel which integrates excellent environment endurance, superior mechanical strength, high self- ...

    Abstract Ionogels possess high conductivity, stretchability, and adhesion, making them promising as flexible sensors. However, it remains challenging to fabricate an ionogel which integrates excellent environment endurance, superior mechanical strength, high self-healing efficiency, and super adhesion. Herein, a supramolecular ionic liquid is synthesized using calcium chloride and 1-butyl-3-methylimidazolium chloride. An advanced ionogel based on this supramolecular ionic liquid is conveniently constructed by a one-pot method with acrylamide and acrylic acid as monomers. The supramolecular cross-linking network, formed by affluent coordination interactions, hydrogen bonds, and electrostatic interactions, provides the ionogel with ideal mechanical strength (tensile strength up to 1.7 MPa), high self-healing efficiency (up to 149%), super adhesion (up to 358 kPa on aluminum), excellent solvent tolerance (less than 10% weight increase, high mechanical and sensing performance retention after being soaked in organic solvents), and low-temperature endurance (breaking elongation can reach 87% at -30 °C). The supramolecular ionogels can function as multi-mode sensors, capable of monitoring strain and different amplitudes of human movements in real-time. Moreover, the sensing performance of ionogels remains unaffected even after being self-healed or exposure to organic solvents. It is expected that this study could offer valuable design ideas to construct advanced gel materials applicable in complicated environment.
    MeSH term(s) Humans ; Ionic Liquids ; Acrylamide ; Cold Temperature ; Electric Conductivity ; Hydrogen Bonding
    Chemical Substances Ionic Liquids ; Acrylamide (20R035KLCI)
    Language English
    Publishing date 2023-10-18
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1475027-2
    ISSN 1521-3927 ; 1022-1336
    ISSN (online) 1521-3927
    ISSN 1022-1336
    DOI 10.1002/marc.202300457
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: A cross-modal deep metric learning model for disease diagnosis based on chest x-ray images.

    Jin, Yufei / Lu, Huijuan / Li, Zhao / Wang, Yanbin

    Multimedia tools and applications

    2023  , Page(s) 1–22

    Abstract: The emergence of unknown diseases is often with few or no samples available. Zero-shot learning and few-shot learning have promising applications in medical image analysis. In this paper, we propose a Cross-Modal Deep Metric Learning Generalized Zero- ... ...

    Abstract The emergence of unknown diseases is often with few or no samples available. Zero-shot learning and few-shot learning have promising applications in medical image analysis. In this paper, we propose a Cross-Modal Deep Metric Learning Generalized Zero-Shot Learning (CM-DML-GZSL) model. The proposed network consists of a visual feature extractor, a fixed semantic feature extractor, and a deep regression module. The network belongs to a two-stream network for multiple modalities. In a multi-label setting, each sample contains a small number of positive labels and a large number of negative labels on average. This positive-negative imbalance dominates the optimization procedure and may prevent the establishment of an effective correspondence between visual features and semantic vectors during training, resulting in a low degree of accuracy. A novel weighted focused Euclidean distance metric loss is introduced in this regard. This loss not only can dynamically increase the weight of hard samples and decrease the weight of simple samples, but it can also promote the connection between samples and semantic vectors corresponding to their positive labels, which helps mitigate bias in predicting unseen classes in the generalized zero-shot learning setting. The weighted focused Euclidean distance metric loss function can dynamically adjust sample weights, enabling zero-shot multi-label learning for chest X-ray diagnosis, as experimental results on large publicly available datasets demonstrate.
    Language English
    Publishing date 2023-03-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1479928-5
    ISSN 1573-7721 ; 1380-7501
    ISSN (online) 1573-7721
    ISSN 1380-7501
    DOI 10.1007/s11042-023-14790-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Deep learning based classification of multi-label chest X-ray images via dual-weighted metric loss.

    Jin, Yufei / Lu, Huijuan / Zhu, Wenjie / Huo, Wanli

    Computers in biology and medicine

    2023  Volume 157, Page(s) 106683

    Abstract: Thoracic disease, like many other diseases, can lead to complications. Existing multi-label medical image learning problems typically include rich pathological information, such as images, attributes, and labels, which are crucial for supplementary ... ...

    Abstract -Thoracic disease, like many other diseases, can lead to complications. Existing multi-label medical image learning problems typically include rich pathological information, such as images, attributes, and labels, which are crucial for supplementary clinical diagnosis. However, the majority of contemporary efforts exclusively focus on regression from input to binary labels, ignoring the relationship between visual features and semantic vectors of labels. In addition, there is an imbalance in data amount between diseases, which frequently causes intelligent diagnostic systems to make erroneous disease predictions. Therefore, we aim to improve the accuracy of the multi-label classification of chest X-ray images. Chest X-ray14 pictures were utilized as the multi-label dataset for the experiments in this study. By fine-tuning the ConvNeXt network, we got visual vectors, which we combined with semantic vectors encoded by BioBert to map the two different forms of features into a common metric space and made semantic vectors the prototype of each class in metric space. The metric relationship between images and labels is then considered from the image level and disease category level, respectively, and a new dual-weighted metric loss function is proposed. Finally, the average AUC score achieved in the experiment reached 0.826, and our model outperformed the comparison models.
    MeSH term(s) Deep Learning ; X-Rays ; Image Processing, Computer-Assisted/methods ; Thorax ; Semantics
    Language English
    Publishing date 2023-02-15
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 127557-4
    ISSN 1879-0534 ; 0010-4825
    ISSN (online) 1879-0534
    ISSN 0010-4825
    DOI 10.1016/j.compbiomed.2023.106683
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 653: 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: In-situ Synthesis of the Thinnest In

    Jin, Lin / Wu, Yu / Zhang, Huijuan / Wang, Yu

    Chemistry (Weinheim an der Bergstrasse, Germany)

    2022  Volume 28, Issue 14, Page(s) e202104428

    Abstract: The efficient utilization of solar energy for photoelectrocatalytic (PEC) water splitting is a feasible solution for developing clean energy and alleviating environmental issues. However, as the core of PEC technology, the existing photoanode catalysts ... ...

    Abstract The efficient utilization of solar energy for photoelectrocatalytic (PEC) water splitting is a feasible solution for developing clean energy and alleviating environmental issues. However, as the core of PEC technology, the existing photoanode catalysts have disadvantages such as poor photoelectrocatalytic conversion efficiency, low conductivity of photogenerated carriers, and instability. Here, we report the ultrathin two-dimensional sandwich-like (SW) heterojunction of In
    Language English
    Publishing date 2022-02-15
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1478547-X
    ISSN 1521-3765 ; 0947-6539
    ISSN (online) 1521-3765
    ISSN 0947-6539
    DOI 10.1002/chem.202104428
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  8. Article ; Online: Preparation and characterization of wheat gluten nanofiber films based on electrospinning and Maillard crosslinking

    Jin, Chengming / Zhang, Huijuan / Ren, Feiyue / Wang, Jing

    LWT. 2023 Aug., v. 186 p.115208-

    2023  

    Abstract: In the present study, composite nanofiber films were fabricated using a combination of electrospinning and Maillard crosslinking. The nanofiber films were comprised of polyvinyl alcohol/wheat gluten/glucose (PVA/WG/G) in various ratios. The determination ...

    Abstract In the present study, composite nanofiber films were fabricated using a combination of electrospinning and Maillard crosslinking. The nanofiber films were comprised of polyvinyl alcohol/wheat gluten/glucose (PVA/WG/G) in various ratios. The determination of the optimal mass ratio of the nanofiber film components (PVA/WG = 1/4) and the proportion of glucose (20 g/hg, PWG144) was based on the physicochemical properties of the spinning solution and the analysis of scanning electron microscopy (SEM) images of the nanofiber films before and after crosslinking. Fourier transform infrared (FTIR) not only showed the presence of hydrogen bond interaction between WG and PVA, but also confirmed the occurrence of Maillard crosslinking. X-Ray Diffraction (XRD) analysis revealed that the crystal structure of the PWG144+ nanofiber films changed after Maillard crosslinking. Maillard crosslinking increased the thermal decomposition temperature and hydrophobicity of the PWG144+ nanofiber film, as well as improved its water stability and mechanical properties. This study suggests that the PWG144+ nanofiber film had the potential to be used as active food packaging after Maillard crosslinking reaction.
    Keywords Fourier transform infrared spectroscopy ; X-ray diffraction ; crosslinking ; crystal structure ; electron microscopy ; glucose ; hydrogen bonding ; hydrophobicity ; nanofibers ; polyvinyl alcohol ; temperature ; thermal degradation ; wheat gluten ; Wheat gluten (WG) ; Blending electrospinning ; Nanofiber film ; Maillard crosslinking
    Language English
    Dates of publication 2023-08
    Publishing place Elsevier Ltd
    Document type Article ; Online
    ZDB-ID 241369-3
    ISSN 0460-1173 ; 0023-6438
    ISSN 0460-1173 ; 0023-6438
    DOI 10.1016/j.lwt.2023.115208
    Database NAL-Catalogue (AGRICOLA)

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    In stock of ZB MED Bonn / Germany

    Z 2634: Show issues

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  9. Article ; Online: Catalytic Enhancement of Cyclohexene Hydration by Ga-Doped ZSM-5 Zeolites.

    Jin, Yuzhen / Zong, Lukuan / Wang, Xiangyu / Wei, Huijuan

    ACS omega

    2022  Volume 7, Issue 30, Page(s) 26289–26297

    Abstract: Ga-doped ZSM-5 zeolites were directly synthesized by a facile one-step hydrothermal method without organic templates and calcination and then investigated in the cyclohexene hydration reaction. The structure, component, textural properties, and acidity ... ...

    Abstract Ga-doped ZSM-5 zeolites were directly synthesized by a facile one-step hydrothermal method without organic templates and calcination and then investigated in the cyclohexene hydration reaction. The structure, component, textural properties, and acidity of the as-prepared samples were examined by X-ray diffraction (XRD), scanning electron microscopy (SEM), X-ray fluorescence (XRF), Brunauer-Emmett-Teller (BET), ammonia temperature-programmed desorption (NH
    Language English
    Publishing date 2022-07-19
    Publishing country United States
    Document type Journal Article
    ISSN 2470-1343
    ISSN (online) 2470-1343
    DOI 10.1021/acsomega.2c02031
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Neuron Derived Cold-Inducible RNA-Binding Protein Promotes NETs Formation to Exacerbate Brain Endothelial Barrier Disruption after Ischemic Stroke.

    Li, Zhifang / Sun, Shuai / Xiao, Qinghui / Tan, Senwei / Jin, Huijuan / Hu, Bo

    Aging and disease

    2024  

    Abstract: In ischemic stroke, neutrophils are the first-line peripheral immune cells infiltrating the brain tissue to form neutrophil extracellular traps (NETs). The present study aimed to investigate the role of neuronal cold-inducible RNA-binding protein (CIRP) ... ...

    Abstract In ischemic stroke, neutrophils are the first-line peripheral immune cells infiltrating the brain tissue to form neutrophil extracellular traps (NETs). The present study aimed to investigate the role of neuronal cold-inducible RNA-binding protein (CIRP) in promoting NETs-induced brain endothelial barrier destruction and cerebral edema after ischemic stroke. We found that the expression of NETs and neuronal CIRP in the penumbra increased at 6 hours after transient middle cerebral artery occlusion (tMCAO) and increased significantly at 24 hours, reaching a peak at 3 days. NETs degradation or CIRP inhibition can alleviate the leakage of brain endothelial barrier and reverse the decreased expression of tight junction proteins (zonula occludens-1, claudin-5 and occludin) in tMCAO mice. Oxygen-glucose deprivation/reperfusion treated primary neurons or recombinant CIRP could induce NETs formation via TLR4/p38 signaling pathway in vitro. Transcription factor specificity protein 1 (sp1) was responsible for the increased neuronal CIRP expression and the inhibition of sp1 could suppress the increased CIRP expression, reduce NETs formation, and diminish brain endothelial barrier leakage in tMCAO mice. We also found the upregulated CIRP level was associated with severe cerebral edema in patients with acute ischemic stroke. In conclusion, the increased expression of transcription factor sp1 after ischemic stroke can lead to elevated CIRP expression and release from the neurons, which subsequently interacts with neutrophils and promotes NETs formation, resulting in brain endothelial barrier destruction and cerebral edema.
    Language English
    Publishing date 2024-02-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2625789-0
    ISSN 2152-5250 ; 2152-5250
    ISSN (online) 2152-5250
    ISSN 2152-5250
    DOI 10.14336/AD.2024.0204-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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