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  1. Book: Lujun jian xi guan

    Yu, Yanfu / Zhang, Yuan

    1987  

    Author's details [Regie: Yu Yanfu, Zhang Yuan]
    Language Chinese
    Size 2 VCDs, 96 Min
    Publishing place China
    Document type Book
    Note Audiosprache: Chinesisch
    Database Former special subject collection: coastal and deep sea fishing

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  2. Article: Corrigendum: An initial prediction and fine-tuning model based on improving GCN for 3D human motion prediction.

    He, Zhiquan / Zhang, Lujun / Wang, Hengyou

    Frontiers in computational neuroscience

    2023  Volume 17, Page(s) 1232765

    Abstract: This corrects the article DOI: 10.3389/fncom.2023.1145209.]. ...

    Abstract [This corrects the article DOI: 10.3389/fncom.2023.1145209.].
    Language English
    Publishing date 2023-06-13
    Publishing country Switzerland
    Document type Published Erratum
    ZDB-ID 2452964-3
    ISSN 1662-5188
    ISSN 1662-5188
    DOI 10.3389/fncom.2023.1232765
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Tree phylogeny predicts more than litter chemical components in explaining enzyme activities in forest leaf litter decomposition.

    Du, Shuhui / Wang, Lujun / Yang, Haishui / Zhang, Qian

    Microbiological research

    2024  Volume 283, Page(s) 127658

    Abstract: Litter decomposition is an important process in ecosystem and despite recent research elucidating the significant influence of plant phylogeny on plant-associated microbial communities, it remains uncertain whether a parallel correlation exists between ... ...

    Abstract Litter decomposition is an important process in ecosystem and despite recent research elucidating the significant influence of plant phylogeny on plant-associated microbial communities, it remains uncertain whether a parallel correlation exists between plant phylogeny and the community of decomposers residing in forest litter. In this study, we conducted a controlled litterbag experiment using leaf litter from ten distinct tree species in a central subtropical forest ecosystem in a region characterized by subtropical humid monsoon climate in China. The litterbags were placed in situ using a random experimental design and were collected after 12 months of incubation. Then, the litter chemical properties, microbial community composition and activities of enzyme related to the decomposition of organic carbon (C) and nitrogen (N) were assessed. Across all ten tree species, Alphaproteobacteria, Gammaproteobacteria, and Actinobacteria were identified as the predominant bacterial classes, while the primary fungal classes were Dothideomycetes, Sordariomycetes and Eurotiomycetes. Mantel test revealed significant correlations between litter chemical component and microbial communities, as well as enzyme activities linked to N and C metabolism. However, after controlling for plant phylogenetic distance in partial Mantel test, the relationships between litter chemical component and microbial community structure and enzyme activities were not significant. Random forest and structural equation modeling indicated that plant phylogenetic distance exerted a more substantial influence than litter chemical components on microbial communities and enzyme activities associated with the decomposition of leaf litter. In summary, plant phylogenic divergence was found to be a more influential predictor of enzyme activity variations than microbial communities and litter traits, which were commonly considered reliable indicators of litter decomposition and ecosystem function, thereby highlighting the previously underestimated significance of plant phylogeny in shaping litter microbial communities and enzyme activities associated with degradation processes in forest litter.
    MeSH term(s) Ecosystem ; Phylogeny ; Bacteria ; Microbiota ; Plant Leaves/chemistry ; Actinobacteria ; Soil/chemistry ; Soil Microbiology
    Chemical Substances Soil
    Language English
    Publishing date 2024-02-28
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1189614-0
    ISSN 1618-0623 ; 0944-5013
    ISSN (online) 1618-0623
    ISSN 0944-5013
    DOI 10.1016/j.micres.2024.127658
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Biological function and research progress of

    Wu, Yue / Li, An / Chen, Can / Fang, Zhang / Chen, Lujun / Zheng, Xiao

    Frontiers in oncology

    2023  Volume 13, Page(s) 1229168

    Abstract: ... ...

    Abstract N
    Language English
    Publishing date 2023-07-20
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2023.1229168
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Preparation and properties of citric acid-crosslinked chitosan salt microspheres through radio frequency assisted method

    Zhang, Lihui / Zhang, Min / Adhikari, Benu / Zhang, Lujun

    Food hydrocolloids

    2023  Volume 139, Issue -, Page(s) 108538

    Language English
    Document type Article
    ZDB-ID 742742-6
    ISSN 0268-005X
    Database Current Contents Nutrition, Environment, Agriculture

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  6. Article ; Online: Anaerobic co-fermentation of waste activated sludge with corn gluten meal enhanced phosphorus release and volatile fatty acids production: Critical role of corn gluten meal dosage on fermentation stages and microbial community traits.

    Zhang, Zhipeng / Liu, Rui / Lan, Yaqiong / Zheng, Wei / Chen, Lujun

    Bioresource technology

    2024  Volume 394, Page(s) 130275

    Abstract: The anaerobic co-fermentation of iron bound phosphorus (P) compounds (FePs)-bearing sludge with corn gluten meal (CGM) and the underlying mechanisms associated with P release and volatile fatty acids (VFAs) production were investigated. The optimal CGM ... ...

    Abstract The anaerobic co-fermentation of iron bound phosphorus (P) compounds (FePs)-bearing sludge with corn gluten meal (CGM) and the underlying mechanisms associated with P release and volatile fatty acids (VFAs) production were investigated. The optimal CGM dosage for P release was 0.6 g chemical oxygen demand (COD)/g total suspended solid (TSS), which resulted in an increase in efficiency from 7 % (control sample) to 39 %. However, the optimal CGM dosage for VFAs production was 0.4 g COD/g TSS, and the yield increased from 37.4 (control sample) to 331.7 mg COD/g volatile suspended solid. The addition of CGM enhanced hydrolysis and acidogenesis by supplying abundant organic substrates to promote the growth of hydrolytic and acidogenic bacteria. A higher VFAs/ammonium-nitrogen ratio resulted in a lower pH, which promoted greater FePs dissolution and P release from the sludge. This study provides novel insights into the effects of CGM on P release and VFAs production.
    MeSH term(s) Fermentation ; Sewage/microbiology ; Anaerobiosis ; Zea mays ; Glutens ; Phosphorus ; Hydrogen-Ion Concentration ; Fatty Acids, Volatile
    Chemical Substances Sewage ; Glutens (8002-80-0) ; Phosphorus (27YLU75U4W) ; Fatty Acids, Volatile
    Language English
    Publishing date 2024-01-02
    Publishing country England
    Document type Journal Article
    ZDB-ID 1065195-0
    ISSN 1873-2976 ; 0960-8524
    ISSN (online) 1873-2976
    ISSN 0960-8524
    DOI 10.1016/j.biortech.2023.130275
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Associations between Serum Folate Concentrations and Functional Disability in Older Adults.

    Ji, Lujun / Zhang, Tianhao / Zhang, Liming / Zhang, Dongfeng

    Antioxidants (Basel, Switzerland)

    2023  Volume 12, Issue 3

    Abstract: Folate may have beneficial effects on physical function through its antioxidant effect. Thus, we investigated the associations between serum folate and functional disability in older adults. Data from the National Health and Nutrition Examination Survey ... ...

    Abstract Folate may have beneficial effects on physical function through its antioxidant effect. Thus, we investigated the associations between serum folate and functional disability in older adults. Data from the National Health and Nutrition Examination Survey 2011-2018 were used. Serum folate included 5-methyltetrahydrofolate and total folate. Five domains of functional disability, including lower extremity mobility (LEM), instrumental activities of daily living (IADL), activities of daily living (ADL), leisure and social activities (LSA), and general physical activities (GPA), were self-reported. Multivariable-adjusted logistic regression models and restricted cubic splines were employed. 5-Methyltetrahydrofolate was inversely associated with IADL and GPA disability, and the multivariate-adjusted ORs (95% CIs) in the highest versus lowest quartiles were 0.65 (0.46-0.91) and 0.70 (0.50-0.96), respectively. The total folate was also inversely associated with IADL (OR quartile 4vs1 = 0.65, 95% CI: 0.46-0.90) and GPA (OR quartile 3vs1 = 0.66, 95% CI: 0.44-0.99) disability. The dose-response relationships showed a gradual decrease in the risk of IADL and GPA disability as serum folate increased. In the sex, age, BMI, and alcohol consumption subgroup analyses, we saw that the associations were primarily found in females, under 80 years old, normal weight, and non-drinkers. Sensitivity analyses further confirmed the robustness of our results. Our results indicated that serum folate concentrations were negatively associated with IADL and GPA disability, especially in females. In other subgroup analyses, we discovered that these negative associations were primarily prevalent in participants under 80 years old, normal weight, and non-drinkers.
    Language English
    Publishing date 2023-03-02
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2704216-9
    ISSN 2076-3921
    ISSN 2076-3921
    DOI 10.3390/antiox12030619
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Adulteration Detection and Quantification in Olive Oil Using Excitation-Emission Matrix Fluorescence Spectroscopy and Chemometrics.

    Lujun, Zhang / Nuo, Cai / Xiaodong, Huang / Xinmin, Fan / Juanjuan, Gao / Jin, Gao / Sensen, Li / Yan, Wang / Chunyan, Wang

    Journal of fluorescence

    2024  

    Abstract: This research investigates the use of excitation-emission matrix fluorescence (EEMF) in conjunction with chemometric models to rapidly identify and quantify adulteration in olive oil, a critical concern where sample availability is limited. Adulteration ... ...

    Abstract This research investigates the use of excitation-emission matrix fluorescence (EEMF) in conjunction with chemometric models to rapidly identify and quantify adulteration in olive oil, a critical concern where sample availability is limited. Adulteration is simulated by blending soybean, peanut, and linseed oils into olive oil, creating diverse adulterated samples. Principal component analysis (PCA) was applied to the EEMF spectral data as an initial exploratory measure to cluster and differentiate adulterated samples. Spatial clustering enabled vivid visualization of the variations and trends in the spectra. The novel application of parallel factor analysis (PARAFAC) for data decomposition in this paper focuses on unraveling correlations between the decomposed components and the actual adulterated components, which offers a novel perspective for accurately quantifying adulteration levels. Additionally, a comparative analysis was conducted between the PCA and PARAFAC methodologies. Our study not only unveils a new avenue for the quantitative analysis of adulterants in olive oil through spectral detection but also highlights the potential for applying these insights in practical, real-world scenarios, thereby enhancing detection capabilities for various edible oil samples. This promises to improve the detection of adulteration across a range of edible oil samples, offering significant contributions to food safety and quality assurance.
    Language English
    Publishing date 2024-03-08
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2016892-5
    ISSN 1573-4994 ; 1053-0509
    ISSN (online) 1573-4994
    ISSN 1053-0509
    DOI 10.1007/s10895-024-03613-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: An initial prediction and fine-tuning model based on improving GCN for 3D human motion prediction.

    He, Zhiquan / Zhang, Lujun / Wang, Hengyou

    Frontiers in computational neuroscience

    2023  Volume 17, Page(s) 1145209

    Abstract: Human motion prediction is one of the fundamental studies of computer vision. Much work based on deep learning has shown impressive performance for it in recent years. However, long-term prediction and human skeletal deformation are still challenging ... ...

    Abstract Human motion prediction is one of the fundamental studies of computer vision. Much work based on deep learning has shown impressive performance for it in recent years. However, long-term prediction and human skeletal deformation are still challenging tasks for human motion prediction. For accurate prediction, this paper proposes a GCN-based two-stage prediction method. We train a prediction model in the first stage. Using multiple cascaded spatial attention graph convolution layers (SAGCL) to extract features, the prediction model generates an initial motion sequence of future actions based on the observed pose. Since the initial pose generated in the first stage often deviates from natural human body motion, such as a motion sequence in which the length of a bone is changed. So the task of the second stage is to fine-tune the predicted pose and make it closer to natural motion. We present a fine-tuning model including multiple cascaded causally temporal-graph convolution layers (CT-GCL). We apply the spatial coordinate error of joints and bone length error as loss functions to train the fine-tuning model. We validate our model on Human3.6m and CMU-MoCap datasets. Extensive experiments show that the two-stage prediction method outperforms state-of-the-art methods. The limitations of proposed methods are discussed as well, hoping to make a breakthrough in future exploration.
    Language English
    Publishing date 2023-04-05
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2452964-3
    ISSN 1662-5188
    ISSN 1662-5188
    DOI 10.3389/fncom.2023.1145209
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Giant Deformation Induced Staggered-Layer Structure Promoting the Thermoelectric and Mechanical Performance in n-Type Bi

    Zhang, Fudong / Zhu, Lujun / Song, Mingzhen / Cao, Xiaofang / Pang, Xiaohui / Liang, Pengfei / Peng, Zhanhui / Chao, Xiaolian / Yang, Zupei / Wu, Di

    Small (Weinheim an der Bergstrasse, Germany)

    2024  , Page(s) e2401070

    Abstract: Bismuth telluride has long been recognized as the most promising near-room temperature thermoelectric material for commercial application; however, the thermoelectric performance for n-type ... ...

    Abstract Bismuth telluride has long been recognized as the most promising near-room temperature thermoelectric material for commercial application; however, the thermoelectric performance for n-type Bi
    Language English
    Publishing date 2024-03-25
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2168935-0
    ISSN 1613-6829 ; 1613-6810
    ISSN (online) 1613-6829
    ISSN 1613-6810
    DOI 10.1002/smll.202401070
    Database MEDical Literature Analysis and Retrieval System OnLINE

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