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  1. Article: Antifungal mechanism of cell-free supernatant produced by

    Zhang, Yang / Lu, Ying / Jin, Zhaoyang / Li, Bo / Wu, Li / He, Yujian

    Frontiers in microbiology

    2024  Volume 15, Page(s) 1377683

    Abstract: Introduction: Pear Valsa canker, caused by : Results: Using morphological characteristics and phylogenetic analysis, the pathogen G1H was identified as : Conclusion: Our findings demonstrate the promising potential ... ...

    Abstract Introduction: Pear Valsa canker, caused by
    Results: Using morphological characteristics and phylogenetic analysis, the pathogen G1H was identified as
    Conclusion: Our findings demonstrate the promising potential of
    Language English
    Publishing date 2024-04-17
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587354-4
    ISSN 1664-302X
    ISSN 1664-302X
    DOI 10.3389/fmicb.2024.1377683
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  2. Article: A Method for Automatically Predicting the Radiation-Induced Vulnerability of Unit Integrated Circuits.

    Dong, Rui / Lu, Hongliang / Yang, Caozhen / Zhang, Yutao / Yao, Ruxue / Wang, Yujian / Zhang, Yuming

    Micromachines

    2024  Volume 15, Issue 4

    Abstract: With the rapid development of semiconductor technology, the reduction in device operating voltage and threshold voltage has made integrated circuits more susceptible to the effects of particle radiation. Moreover, as process sizes decrease, the impact of ...

    Abstract With the rapid development of semiconductor technology, the reduction in device operating voltage and threshold voltage has made integrated circuits more susceptible to the effects of particle radiation. Moreover, as process sizes decrease, the impact of charge sharing effects becomes increasingly severe, with soft errors caused by single event effects becoming one of the main causes of circuit failures. Therefore, the study of sensitivity evaluation methods for integrated circuits is of great significance for promoting the optimization of integrated circuit design, improving single event effect experimental methods, and enhancing the irradiation reliability of integrated circuits. In this paper, we first established a device model for the charge sharing effect and simulated it under reasonable conditions. Based on the simulation results, we then built a neural network model to predict the charge amounts in primary and secondary devices. We also propose a comprehensive automated method for calculating soft errors in unit circuits and validated it through TCAD simulations, achieving an error margin of 2.8-4.3%. This demonstrated the accuracy and effectiveness of the method we propose.
    Language English
    Publishing date 2024-04-18
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2620864-7
    ISSN 2072-666X
    ISSN 2072-666X
    DOI 10.3390/mi15040541
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  3. Article ; Online: Skeletal Muscle Regeneration in Cardiotoxin-Induced Muscle Injury Models

    Yanjie Wang / Jianqiang Lu / Yujian Liu

    International Journal of Molecular Sciences, Vol 23, Iss 13380, p

    2022  Volume 13380

    Abstract: Skeletal muscle injuries occur frequently in daily life and exercise. Understanding the mechanisms of regeneration is critical for accelerating the repair and regeneration of muscle. Therefore, this article reviews knowledge on the mechanisms of skeletal ...

    Abstract Skeletal muscle injuries occur frequently in daily life and exercise. Understanding the mechanisms of regeneration is critical for accelerating the repair and regeneration of muscle. Therefore, this article reviews knowledge on the mechanisms of skeletal muscle regeneration after cardiotoxin-induced injury. The process of regeneration is similar in different mouse strains and is inhibited by aging, obesity, and diabetes. Exercise, microcurrent electrical neuromuscular stimulation, and mechanical loading improve regeneration. The mechanisms of regeneration are complex and strain-dependent, and changes in functional proteins involved in the processes of necrotic fiber debris clearance, M1 to M2 macrophage conversion, SC activation, myoblast proliferation, differentiation and fusion, and fibrosis and calcification influence the final outcome of the regenerative activity.
    Keywords cardiotoxin injury ; mice ; skeletal muscle ; regeneration ; mechanism ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
    Subject code 796
    Language English
    Publishing date 2022-11-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Skeletal Muscle Regeneration in Cardiotoxin-Induced Muscle Injury Models.

    Wang, Yanjie / Lu, Jianqiang / Liu, Yujian

    International journal of molecular sciences

    2022  Volume 23, Issue 21

    Abstract: Skeletal muscle injuries occur frequently in daily life and exercise. Understanding the mechanisms of regeneration is critical for accelerating the repair and regeneration of muscle. Therefore, this article reviews knowledge on the mechanisms of skeletal ...

    Abstract Skeletal muscle injuries occur frequently in daily life and exercise. Understanding the mechanisms of regeneration is critical for accelerating the repair and regeneration of muscle. Therefore, this article reviews knowledge on the mechanisms of skeletal muscle regeneration after cardiotoxin-induced injury. The process of regeneration is similar in different mouse strains and is inhibited by aging, obesity, and diabetes. Exercise, microcurrent electrical neuromuscular stimulation, and mechanical loading improve regeneration. The mechanisms of regeneration are complex and strain-dependent, and changes in functional proteins involved in the processes of necrotic fiber debris clearance, M1 to M2 macrophage conversion, SC activation, myoblast proliferation, differentiation and fusion, and fibrosis and calcification influence the final outcome of the regenerative activity.
    MeSH term(s) Mice ; Animals ; Cardiotoxins/toxicity ; Muscular Diseases/chemically induced ; Muscular Diseases/metabolism ; Muscle, Skeletal/metabolism ; Macrophages/metabolism ; Aging
    Chemical Substances Cardiotoxins
    Language English
    Publishing date 2022-11-02
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms232113380
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  5. Article ; Online: An Optical Fiber Sensor for Axial Strain, Curvature, and Temperature Measurement Based on Single-Core Six-Hole Optical Fiber.

    Li, Yujian / Yu, Changyuan / Lu, Ping

    Sensors (Basel, Switzerland)

    2022  Volume 22, Issue 4

    Abstract: In this paper, the field distribution and effective refractive index of transmission modes in single-core six-hole optical fiber were researched by modeling and simulation experiments. Based on the simulation results, a new type of sensor for axial ... ...

    Abstract In this paper, the field distribution and effective refractive index of transmission modes in single-core six-hole optical fiber were researched by modeling and simulation experiments. Based on the simulation results, a new type of sensor for axial strain, curvature, and temperature applications measurement was designed and fabricated. The experimental results showed that the axial strain sensitivities at different dips were -0.97 pm/με and -1.05 pm/με in the range from 0 to 2000 με, and the temperature sensitivities were 35.17 pm/°C and 47.27 pm/°C in the range from 25 to 75 °C. In addition, the proposed sensor also detected the curvature change with sensitivities of 7.36 dB/m
    Language English
    Publishing date 2022-02-21
    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/s22041666
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  6. Article ; Online: Understanding public perspectives on fracking in the United States using social media big data

    Xi Gong / Yujian Lu / Daniel Beene / Ziqi Li / Tao Hu / Melinda Morgan / Yan Lin

    Annals of GIS, Vol 29, Iss 1, Pp 21-

    2023  Volume 35

    Abstract: ABSTRACTPeople’s attitudes towards hydraulic fracturing (fracking) can be shaped by socio-demographics, economic development, social equity and politics, environmental impacts, and fracking-related information. Existing research typically conducts ... ...

    Abstract ABSTRACTPeople’s attitudes towards hydraulic fracturing (fracking) can be shaped by socio-demographics, economic development, social equity and politics, environmental impacts, and fracking-related information. Existing research typically conducts surveys and interviews to study public attitudes towards fracking among a small group of individuals in a specific geographic area, where limited samples may introduce bias. Here, we compiled geo-referenced social media big data from Twitter during 2018–2019 for the entire United States to present a more holistic picture of people’s attitudes towards fracking. We used a multiscale geographically weighted regression (MGWR) to investigate county-level relationships between the aforementioned factors and percentages of negative tweets concerning fracking. Results indicate spatial heterogeneity and varying scales of those associations. Counties with higher median household income, larger African American populations, and/or lower educational level are less likely to oppose fracking, and these associations show global stationarity in all contiguous US counties. Eastern and Central US counties with higher unemployment rates, counties east of the Great Plains with less fracking sites nearby, and Western and Gulf Coast region counties with higher health insurance enrolments are more likely to oppose fracking activities. These three variables show clear East-West geographical divides in influencing public perspective on fracking. In counties across the southern Great Plains, negative attitudes towards fracking are less often vocalized on Twitter as the share of Republican voters increases. These findings have implications for both predicting public perspectives and needed policy adjustments. The methodology can also be conveniently applied to investigate public perspectives on other controversial topics.
    Keywords Fracking ; public perspective ; social media ; multiscale geographically weighted regression (MGWR) ; spatial heterogeneity ; Mathematical geography. Cartography ; GA1-1776
    Subject code 910
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher Taylor & Francis Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article: Skeletal Muscle CSE Deficiency Leads to Insulin Resistance in Mice.

    Xu, Miaomiao / Liu, Xiaoguang / Bao, Peng / Wang, Yanjie / Zhu, Xiaoyan / Liu, Yujian / Ni, Xin / Lu, Jianqiang

    Antioxidants (Basel, Switzerland)

    2022  Volume 11, Issue 11

    Abstract: Cystathionine-γ-lyase (CSE) is expressed in various tissues and generates ... ...

    Abstract Cystathionine-γ-lyase (CSE) is expressed in various tissues and generates H
    Language English
    Publishing date 2022-11-09
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704216-9
    ISSN 2076-3921
    ISSN 2076-3921
    DOI 10.3390/antiox11112216
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  8. Article: Phenothiazine-based covalent organic frameworks with low exciton binding energies for photocatalysis.

    Wang, Weitao / Wang, Haotian / Tang, Xiaohui / Huo, Jinlei / Su, Yan / Lu, Chuangye / Zhang, Yujian / Xu, Hong / Gu, Cheng

    Chemical science

    2022  Volume 13, Issue 29, Page(s) 8679–8685

    Abstract: Designing delocalized excitons with low binding energy ( ...

    Abstract Designing delocalized excitons with low binding energy (
    Language English
    Publishing date 2022-07-09
    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/d2sc02503e
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  9. Article ; Online: Microsphere probe: combining microsphere-assisted microscopy with AFM.

    Hong, Yujian / Xiao, Shasha / Zhai, Cong / Lu, Nianhang / Geng, Guangyu / Lu, Junsheng / Wu, Sen / Hu, Chunguang / Hu, Xiaodong

    Optics express

    2023  Volume 31, Issue 17, Page(s) 27520–27528

    Abstract: In recent years, microsphere-assisted microscopy (MAM) and atomic force microscope (AFM) have been rapidly developed to meet the measurement needs of microstructures. However, the positioning of microspheres, the inability of AFM to touch the underlying ... ...

    Abstract In recent years, microsphere-assisted microscopy (MAM) and atomic force microscope (AFM) have been rapidly developed to meet the measurement needs of microstructures. However, the positioning of microspheres, the inability of AFM to touch the underlying sample through the transparent insulating layer, and the challenge of AFM fast positioning limit their use in practical measurements. In this paper, we propose a method that combines MAM with AFM by adhering the microsphere to the cantilever. This method allows MAM and AFM to work in parallel, and their imaging positions can correspond with each other. We use this method to measure memory devices, and the results show that MAM and AFM yield complementary advantages. This approach provides a new tool for analyzing complex structures in devices and has potential for wide application.
    Language English
    Publishing date 2023-09-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1491859-6
    ISSN 1094-4087 ; 1094-4087
    ISSN (online) 1094-4087
    ISSN 1094-4087
    DOI 10.1364/OE.494572
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Laser ultrasonic imaging of complex defects with full-matrix capture and deep-learning extraction.

    Mei, Yujian / Chen, Jian / Zeng, Yike / Wu, Lu / Fan, Zheng

    Ultrasonics

    2022  Volume 129, Page(s) 106915

    Abstract: Phased array-based full-matrix ultrasonic imaging has been the golden standard for the non-destructive evaluation of critical components. However, the piezoelectric phased array cannot be applied in hazardous environments and online monitoring due to its ...

    Abstract Phased array-based full-matrix ultrasonic imaging has been the golden standard for the non-destructive evaluation of critical components. However, the piezoelectric phased array cannot be applied in hazardous environments and online monitoring due to its couplant requirement. The laser ultrasonic technique can readily address these challenging tasks via fully non-contact inspection, but low detection sensitivity and complicated wave mode conversion hamper its practical applications. The laser-induced full-matrix ultrasonic imaging of complex defects was displayed in this study. Full matrix data acquisition and deep learning method were adapted to the laser ultrasonic technique to overcome the existing challenges. For proof-of-concept demonstrations, simulations and experiments were conducted on an aluminum sample with representative defects. Numerical and experimental results showed good agreement, revealing the excellent imaging performance of proposed method. Compared with the total focusing method based on ray-trace model, the deep learning method could create superior images with additional quantitative information through end-to-end networks, which use the hierarchical features and generate details from all the relevant imaging and physical characteristics information. The proposed method may help assess defect formation and development at the early stage in a hazardous environment and understand the in-situ manufacturing process due to its couplant-free nature.
    MeSH term(s) Ultrasonics ; Deep Learning ; Aluminum ; Lasers ; Proof of Concept Study
    Chemical Substances Aluminum (CPD4NFA903)
    Language English
    Publishing date 2022-12-20
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 200839-7
    ISSN 1874-9968 ; 0041-624X
    ISSN (online) 1874-9968
    ISSN 0041-624X
    DOI 10.1016/j.ultras.2022.106915
    Database MEDical Literature Analysis and Retrieval System OnLINE

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