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  1. AU="Zhiqi, Huang"
  2. AU="Acevedo, A C"
  3. AU="García-Cenador, Begoña"
  4. AU="Wisecup, Ciara"
  5. AU="Scortti, Mariela"
  6. AU="Allen, David M."
  7. AU="Martínez, J Alfredo"

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  1. Article ; Online: MFSFNet

    Zhiqi Huang / Hongjian You

    Remote Sensing, Vol 15, Iss 3740, p

    Multi-Scale Feature Subtraction Fusion Network for Remote Sensing Image Change Detection

    2023  Volume 3740

    Abstract: Change detection plays a crucial role in remote sensing by identifying surface modifications between two sets of temporal remote sensing images. Recent advancements in deep learning techniques have yielded significant achievements in this field. However, ...

    Abstract Change detection plays a crucial role in remote sensing by identifying surface modifications between two sets of temporal remote sensing images. Recent advancements in deep learning techniques have yielded significant achievements in this field. However, there are still some challenges: (1) Existing change feature fusion methods often introduce redundant information. (2) The complexity of network structures leads to a large number of parameters and difficulties in model training. To overcome these challenges, this paper proposes a Multi-Scale Feature Subtraction Fusion Network (MFSF-Net). It comprises two primary modules: the Multi-scale Feature Subtraction Fusion (MFSF) module and the Feature Deep Supervision (FDS) module. MFSF enhances change features and reduces redundant pseudo-change features. FDS provides additional supervision on different scales of change features in the decoder, improving the training efficiency performance of the network. Additionally, to address the problem of imbalanced samples, the Dice loss strategy is introduced as a means to mitigate this issue. Through comprehensive experiments, MFSF-Net achieves an F1 score of 91.15% and 95.64% on LEVIR-CD and CDD benchmark datasets, respectively, outperforming six state-of-the-art algorithms. Moreover, it attains an improved balance between model complexity and performance, showcasing the efficacy of the proposed approach.
    Keywords subtraction fusion ; change detection ; remote sensing images ; multi-scale features ; Science ; Q
    Subject code 006
    Language English
    Publishing date 2023-07-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article: The collaborative development of graduate education and high economic quality and its dynamic evolution forecast.

    Zhiqi, Huang / Fan, Sun / Yangmei, Zhou / Yan, Li / Zheng, Li

    Heliyon

    2023  Volume 9, Issue 11, Page(s) e21438

    Abstract: To promote the coordinated development of high quality postgraduate education and economy is the realization of all-round construction of the socialist modernization of China power.Based on the panel data of 30 provinces in China from 2009 to 2021, this ... ...

    Abstract To promote the coordinated development of high quality postgraduate education and economy is the realization of all-round construction of the socialist modernization of China power.Based on the panel data of 30 provinces in China from 2009 to 2021, this paper constructs the index of graduate education and high-quality economic development respectively, and analyzes it by coupling coordination model, kernel density estimation and spatial Markov chain model.The results show that: first, the postgraduate education and the high economic quality of most provinces in China are matched, but there is a significant difference between the eastern and western regions in their collaborative development; Second, the level of synergistic development between graduate education and high economic quality is low, and the central and northeastern regions are seriously divided, but the differences in synergistic effects between different regions are narrowing.Third, according to the results of trend prediction, there is the coexistence of "beggar-thy-neighbor" and "good-neighborliness", and it is difficult to achieve leapfrog coordinated development.Therefore, it is proposed to pay attention to the high-quality economic development to provide a rich material basis for graduate education, the change of graduate education structure should adapt to the needs of high-quality economic development, and implement different reform measures in different regions to promote the comprehensive construction of a modern socialist country.
    Language English
    Publishing date 2023-10-30
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e21438
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: English Learning Stress, Self-Efficacy, and Burnout among Undergraduate Students

    Liling Xu / Huahua Wang / Jiaxin Chen / Yiwen Zhang / Zhiqi Huang / Chengfu Yu

    International Journal of Environmental Research and Public Health, Vol 19, Iss 15819, p

    The Moderating Effect of Mindfulness and Gender

    2022  Volume 15819

    Abstract: Research has indicated that English learning stress contributes significantly to English learning burnout among undergraduate students. However, knowledge of the mediating and moderating mechanisms underlying this relationship is limited. To bridge this ... ...

    Abstract Research has indicated that English learning stress contributes significantly to English learning burnout among undergraduate students. However, knowledge of the mediating and moderating mechanisms underlying this relationship is limited. To bridge this gap, a moderated mediation model was constructed to examine whether English learning self-efficacy mediated the relationship between English learning stress and English learning burnout. Furthermore, this study analyzed whether the mediated relationship was moderated by mindfulness and gender. A total of 1130 Chinese undergraduate students (mean age = 20.84 years, SD = 1.57 years) reported their experiences regarding English learning stress, English learning self-efficacy, English learning burnout, and mindfulness. After controlling for covariates, the results revealed that English learning self-efficacy mediated the positive link between English learning stress and English learning burnout among both men and women. Moreover, the findings demonstrated that the indirect link was moderated by mindfulness among male undergraduate students. However, the moderating effect of mindfulness was not significant among the women in this study. The implications of these findings for future research, and the development of intervention and prevention of English learning burnout are discussed.
    Keywords English learning stress ; English learning self-efficacy ; English learning burnout ; mindfulness ; undergraduate students ; Medicine ; R
    Subject code 420 ; 370
    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: A Robust Shape Reconstruction Method for Facial Feature Point Detection

    Shuqiu Tan / Dongyi Chen / Chenggang Guo / Zhiqi Huang

    Computational Intelligence and Neuroscience, Vol

    2017  Volume 2017

    Abstract: Facial feature point detection has been receiving great research advances in recent years. Numerous methods have been developed and applied in practical face analysis systems. However, it is still a quite challenging task because of the large variability ...

    Abstract Facial feature point detection has been receiving great research advances in recent years. Numerous methods have been developed and applied in practical face analysis systems. However, it is still a quite challenging task because of the large variability in expression and gestures and the existence of occlusions in real-world photo shoot. In this paper, we present a robust sparse reconstruction method for the face alignment problems. Instead of a direct regression between the feature space and the shape space, the concept of shape increment reconstruction is introduced. Moreover, a set of coupled overcomplete dictionaries termed the shape increment dictionary and the local appearance dictionary are learned in a regressive manner to select robust features and fit shape increments. Additionally, to make the learned model more generalized, we select the best matched parameter set through extensive validation tests. Experimental results on three public datasets demonstrate that the proposed method achieves a better robustness over the state-of-the-art methods.
    Keywords Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
    Subject code 004
    Language English
    Publishing date 2017-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Extra Facial Landmark Localization via Global Shape Reconstruction

    Shuqiu Tan / Dongyi Chen / Chenggang Guo / Zhiqi Huang

    Computational Intelligence and Neuroscience, Vol

    2017  Volume 2017

    Abstract: Localizing facial landmarks is a popular topic in the field of face analysis. However, problems arose in practical applications such as handling pose variations and partial occlusions while maintaining moderate training model size and computational ... ...

    Abstract Localizing facial landmarks is a popular topic in the field of face analysis. However, problems arose in practical applications such as handling pose variations and partial occlusions while maintaining moderate training model size and computational efficiency still challenges current solutions. In this paper, we present a global shape reconstruction method for locating extra facial landmarks comparing to facial landmarks used in the training phase. In the proposed method, the reduced configuration of facial landmarks is first decomposed into corresponding sparse coefficients. Then explicit face shape correlations are exploited to regress between sparse coefficients of different facial landmark configurations. Finally extra facial landmarks are reconstructed by combining the pretrained shape dictionary and the approximation of sparse coefficients. By applying the proposed method, both the training time and the model size of a class of methods which stack local evidences as an appearance descriptor can be scaled down with only a minor compromise in detection accuracy. Extensive experiments prove that the proposed method is feasible and is able to reconstruct extra facial landmarks even under very asymmetrical face poses.
    Keywords Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
    Subject code 410
    Language English
    Publishing date 2017-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article: Facet-evolution growth of Mn3O4@CoxMn3-xO4 electrocatalysts on Ni foam towards efficient oxygen evolution reaction

    Hu, Congling / Jinlong Gong / Lei Zhang / Wenjin Zhu / Zhi-Jian Zhao / Zhiqi Huang

    Journal of catalysis. 2019 Jan., v. 369

    2019  

    Abstract: Developing efficient and stable non-noble electrocatalysts for oxygen evolution reaction (OER) is one of the promising and challenging issues. This paper describes an approach to prepare core-shell cobalt-manganese oxides with specific morphologies and ... ...

    Abstract Developing efficient and stable non-noble electrocatalysts for oxygen evolution reaction (OER) is one of the promising and challenging issues. This paper describes an approach to prepare core-shell cobalt-manganese oxides with specific morphologies and oxygen vacancies. Via a facile seed growth method, facets evolution is achieved during the formation of core-shell structure. Benefited from optimized surface environment, oxygen vacancy-enriched octahedral cobalt-manganese oxides supported on Ni foam exhibited relatively low overpotential of 284 mV at the current density of 10 mA cm−2 and diminutive tafel slope of 73.1 mV dec−1 as well as long-term stability. This work successfully unveils a method for facet-modulation of core-shell metal oxides as efficient electrochemical OER catalysts.
    Keywords catalysts ; electrochemistry ; foams ; nickel ; oxides ; oxygen ; oxygen production
    Language English
    Dates of publication 2019-01
    Size p. 105-110.
    Publishing place Elsevier Inc.
    Document type Article
    ZDB-ID 1468993-5
    ISSN 0021-9517
    ISSN 0021-9517
    DOI 10.1016/j.jcat.2018.10.034
    Database NAL-Catalogue (AGRICOLA)

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  7. Article: Characterization of hot deformation behavior and constitutive modeling of Al–Mg–Si–Mn–Cr alloy

    Liu, Shuhui / Qinglin Pan / Hang Li / Zhiqi Huang / Kuo Li / Xin He / Xinyu Li

    Journal of materials science. 2019 Mar., v. 54, no. 5

    2019  

    Abstract: To characterize the hot deformation behavior of commonly used aluminum alloy, a homogeneous Al–Mg–Si–Mn–Cr alloy was analyzed by thermal simulation test at deformation temperature range of 653–803 K and strain rate range of 0.01–10 s⁻¹. The flow stresses ...

    Abstract To characterize the hot deformation behavior of commonly used aluminum alloy, a homogeneous Al–Mg–Si–Mn–Cr alloy was analyzed by thermal simulation test at deformation temperature range of 653–803 K and strain rate range of 0.01–10 s⁻¹. The flow stresses were predicted by modified Johnson–Cook model, modified Zerilli–Armstrong model and strain-compensated Arrhenius model. The results show that the three models are able to predict the flow behavior of the alloy. Strain-compensated Arrhenius model has the best simulation ability in predicting flow stresses, while the modified Johnson–Cook model has lower prediction accuracy and the modified Zerilli–Armstrong model has poorer predictive ability at low strain rates. Microstructure evolution shows that subgrain boundaries form at original grain boundaries at first, moving toward to the center of the deformed grains. The dislocation density decreases, while the number and the size of subgrains increase with the decreasing Zener–Hollomon (Z) parameter. Both dynamic recovery (DRV) and dynamic recrystallization take place in hot deformation process. DRV is considered to be the primary dynamic softening mechanism throughout the entire hot deformation range. Continuous dynamic recrystallization and discontinuous dynamic recrystallization operate concurrently at low strain rates and high temperatures. The relationship of subgrain size and predicted flow stress is presented. Moreover, activation volume is introduced to reveal the thermal activation mechanism during hot deformation.
    Keywords alloys ; aluminum ; crystallization ; deformation ; grains ; microstructure ; models ; prediction ; temperature
    Language English
    Dates of publication 2019-03
    Size p. 4366-4383.
    Publishing place Springer US
    Document type Article
    ZDB-ID 2015305-3
    ISSN 1573-4803 ; 0022-2461
    ISSN (online) 1573-4803
    ISSN 0022-2461
    DOI 10.1007/s10853-018-3116-4
    Database NAL-Catalogue (AGRICOLA)

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  8. Article ; Online: A welding phenomenon of dissimilar nanoparticles in dispersion

    Zhiqi Huang / Zhi-Jian Zhao / Qian Zhang / Lili Han / Xiumei Jiang / Chao Li / Maria T. Perez Cardenas / Peng Huang / Jun-Jie Yin / Jun Luo / Jinlong Gong / Zhihong Nie

    Nature Communications, Vol 10, Iss 1, Pp 1-

    2019  Volume 8

    Abstract: Solution-phase welding of nanoparticles to form larger structures typically requires that the particles are the same type, limiting the diversity of possible products. Here, the authors report a welding process between gold and chalcogenide nanoparticles ...

    Abstract Solution-phase welding of nanoparticles to form larger structures typically requires that the particles are the same type, limiting the diversity of possible products. Here, the authors report a welding process between gold and chalcogenide nanoparticles in dispersion that leads to asymmetric hybrid nanoparticles with two distinct domains.
    Keywords Science ; Q
    Language English
    Publishing date 2019-01-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: A welding phenomenon of dissimilar nanoparticles in dispersion

    Zhiqi Huang / Zhi-Jian Zhao / Qian Zhang / Lili Han / Xiumei Jiang / Chao Li / Maria T. Perez Cardenas / Peng Huang / Jun-Jie Yin / Jun Luo / Jinlong Gong / Zhihong Nie

    Nature Communications, Vol 10, Iss 1, Pp 1-

    2019  Volume 8

    Abstract: Solution-phase welding of nanoparticles to form larger structures typically requires that the particles are the same type, limiting the diversity of possible products. Here, the authors report a welding process between gold and chalcogenide nanoparticles ...

    Abstract Solution-phase welding of nanoparticles to form larger structures typically requires that the particles are the same type, limiting the diversity of possible products. Here, the authors report a welding process between gold and chalcogenide nanoparticles in dispersion that leads to asymmetric hybrid nanoparticles with two distinct domains.
    Keywords Science ; Q
    Language English
    Publishing date 2019-01-01T00:00:00Z
    Publisher Nature Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Heterophase fcc-2H-fcc gold nanorods

    Zhanxi Fan / Michel Bosman / Zhiqi Huang / Ye Chen / Chongyi Ling / Lin Wu / Yuriy A. Akimov / Robert Laskowski / Bo Chen / Peter Ercius / Jian Zhang / Xiaoying Qi / Min Hao Goh / Yiyao Ge / Zhicheng Zhang / Wenxin Niu / Jinlan Wang / Haimei Zheng / Hua Zhang

    Nature Communications, Vol 11, Iss 1, Pp 1-

    2020  Volume 8

    Abstract: The crystal phase-based heterostructures of noble metal nanomaterials are of interest for various applications. Here, the authors report the wet-chemical synthesis of gold nanorods with a well-defined fcc-2H-fcc heterophase, which possess unique optical ... ...

    Abstract The crystal phase-based heterostructures of noble metal nanomaterials are of interest for various applications. Here, the authors report the wet-chemical synthesis of gold nanorods with a well-defined fcc-2H-fcc heterophase, which possess unique optical and catalytic properties.
    Keywords Science ; Q
    Language English
    Publishing date 2020-07-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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