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  1. Article ; Online: Hypsizygus marmoreus

    Xu, Qiuxiong / Zheng, Bisheng / Li, Tong / Liu, Rui Hai

    Food & function

    2023  Volume 14, Issue 21, Page(s) 9743–9754

    Abstract: In this study, we explored the lifespan extension effect of a popular edible mushroom, ...

    Abstract In this study, we explored the lifespan extension effect of a popular edible mushroom,
    MeSH term(s) Animals ; Caenorhabditis elegans/genetics ; Longevity ; Antioxidants/pharmacology ; Agaricales ; Reactive Oxygen Species ; Oxidative Stress ; Caenorhabditis elegans Proteins/genetics ; Forkhead Transcription Factors
    Chemical Substances Antioxidants ; Reactive Oxygen Species ; Caenorhabditis elegans Proteins ; Forkhead Transcription Factors
    Language English
    Publishing date 2023-10-30
    Publishing country England
    Document type Journal Article
    ZDB-ID 2612033-1
    ISSN 2042-650X ; 2042-6496
    ISSN (online) 2042-650X
    ISSN 2042-6496
    DOI 10.1039/d3fo02578k
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Prediction of atmospheric pollutants in urban environment based on coupled deep learning model and sensitivity analysis.

    Wang, Siyuan / Ren, Ying / Xia, Bisheng / Liu, Kai / Li, Huiming

    Chemosphere

    2023  Volume 331, Page(s) 138830

    Abstract: Accurate and efficient predictions of pollutants in the atmosphere provide a reliable basis for the scientific management of atmospheric pollution. This study develops a model that combines an attention mechanism, convolutional neural network (CNN), and ... ...

    Abstract Accurate and efficient predictions of pollutants in the atmosphere provide a reliable basis for the scientific management of atmospheric pollution. This study develops a model that combines an attention mechanism, convolutional neural network (CNN), and long short-term memory (LSTM) unit to predict the O
    MeSH term(s) Humans ; Air Pollution/analysis ; Air Pollutants/analysis ; Environmental Pollutants/analysis ; Deep Learning ; Environmental Monitoring/methods ; COVID-19 ; Particulate Matter/analysis
    Chemical Substances Air Pollutants ; Environmental Pollutants ; Particulate Matter
    Language English
    Publishing date 2023-05-01
    Publishing country England
    Document type Journal Article
    ZDB-ID 120089-6
    ISSN 1879-1298 ; 0045-6535 ; 0366-7111
    ISSN (online) 1879-1298
    ISSN 0045-6535 ; 0366-7111
    DOI 10.1016/j.chemosphere.2023.138830
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 2540: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (2.OG)
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  3. Article ; Online: Disruption and recovery of outdoor bioaerosols before, during, and after the COVID-19 outbreak at a campus in Central China: pathogen composition, particle size distribution, influencing factors, and exposure risk.

    Wang, Yanjie / Zhu, Haoran / Zhang, Song / Yang, Kai / Liu, Yang / Lai, Bisheng / Yu, Fangfang

    Environmental science. Processes & impacts

    2024  Volume 26, Issue 2, Page(s) 421–435

    Abstract: Before (2019), during (2020), and after (2021) the COVID-19 outbreak, different response methods and measures were taken on campuses to control the spread of COVID-19 within schools. These response methods may have changed the outdoor bioaerosol ... ...

    Abstract Before (2019), during (2020), and after (2021) the COVID-19 outbreak, different response methods and measures were taken on campuses to control the spread of COVID-19 within schools. These response methods may have changed the outdoor bioaerosol characteristics, which may affect staff and student health. Therefore, we analyzed the bacterial concentrations, particle size distribution, microbial populations, exposure risks, and environmental influences of bioaerosols at a campus before, during, and after the COVID-19 outbreak. This study used eight-stage Andersen samplers to collect and analyze culturable bacteria in bioaerosols from various locations, high-throughput sequencing to analyze microbial species, principal component analysis to compare differences in samples, RDA to investigate the effects of environmental factors on bioaerosols, and hazard quotient (HQ) and BugBase to evaluate human health risks. The study findings revealed that average bacterial concentrations before, during, and after COVID-19 were 75 CFU m
    MeSH term(s) Humans ; Particle Size ; Air Microbiology ; Environmental Monitoring/methods ; Fungi ; COVID-19/epidemiology ; Respiratory Aerosols and Droplets ; China/epidemiology ; Bacteria
    Language English
    Publishing date 2024-02-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 2703814-2
    ISSN 2050-7895 ; 2050-7887
    ISSN (online) 2050-7895
    ISSN 2050-7887
    DOI 10.1039/d3em00496a
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Integrative Analysis of Metabolomic and Transcriptomic Data Reveals the Mechanism of Color Formation in Corms of

    Xu, Rong / Luo, Ming / Xu, Jiawei / Wang, Mingxing / Huang, Bisheng / Miao, Yuhuan / Liu, Dahui

    International journal of molecular sciences

    2023  Volume 24, Issue 9

    Abstract: ... Pinellia ... ...

    Abstract Pinellia ternata
    MeSH term(s) Transcriptome ; Anthocyanins/genetics ; Anthocyanins/metabolism ; Pinellia/genetics ; Gene Expression Profiling ; Glucosides/metabolism
    Chemical Substances Anthocyanins ; Glucosides
    Language English
    Publishing date 2023-04-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms24097990
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  5. Article ; Online: The effect of

    Zhang, Sheng / Deng, Na / Zheng, Bisheng / Li, Tong / Liu, Rui Hai

    Food & function

    2022  Volume 13, Issue 10, Page(s) 5752–5765

    Abstract: Changes in the phenolic profiles and antioxidant and antiproliferative activities ... ...

    Abstract Changes in the phenolic profiles and antioxidant and antiproliferative activities of
    MeSH term(s) Antioxidants/metabolism ; Digestion ; Flavonoids ; Phenols/analysis ; Rhodiola
    Chemical Substances Antioxidants ; Flavonoids ; Phenols
    Language English
    Publishing date 2022-05-23
    Publishing country England
    Document type Journal Article
    ZDB-ID 2612033-1
    ISSN 2042-650X ; 2042-6496
    ISSN (online) 2042-650X
    ISSN 2042-6496
    DOI 10.1039/d2fo00469k
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

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  6. Article ; Online: Spatiotemporal distribution, interactions and toxic effect of microorganisms and ARGs/MGEs from the bioreaction tank in hospital sewage treatment facility.

    Wang, Yanjie / Zhang, Song / Yang, Liying / Yang, Kai / Liu, Yang / Zhu, Haoran / Lai, Bisheng / Li, Lin / Hua, Linlin

    The Science of the total environment

    2024  Volume 923, Page(s) 171481

    Abstract: Antibiotic resistance genes (ARGs) can be emitted from wastewater to ambient air and impose unignorable inhalable hazards, which could be exacerbated in antibiotic-concentrated hospital sewage. However, whether the ARG-carrying pathogens are more likely ... ...

    Abstract Antibiotic resistance genes (ARGs) can be emitted from wastewater to ambient air and impose unignorable inhalable hazards, which could be exacerbated in antibiotic-concentrated hospital sewage. However, whether the ARG-carrying pathogens are more likely to infect cells remains largely unknown. Here, this study investigated and analyzed the spatiotemporal distribution, interaction, and toxicity of airborne microorganisms and their hosting ARGs in a hospital sewage treatment facility. The average concentration of ARGs/MGEs in sewage of bioreaction tank (BRT-W) was 2.27 × 10
    MeSH term(s) Humans ; Sewage/microbiology ; Genes, Bacterial ; Anti-Bacterial Agents/analysis ; Escherichia coli/genetics ; Drug Resistance, Microbial/genetics ; Hospitals
    Chemical Substances Sewage ; Anti-Bacterial Agents
    Language English
    Publishing date 2024-03-07
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2024.171481
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    Zs.A 949: 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: Genome Resequencing and Transcriptome Analysis Reveal the Genetic Diversity of Wolfiporia cocos Germplasm and Genes Related to High Yield.

    Wang, Qi / Huang, Bisheng / Liu, Dahui / Miao, Yuhuan

    Current microbiology

    2022  Volume 79, Issue 10, Page(s) 312

    Abstract: Wolfiporia cocos is a saprophytic fungus belonging to the phylum Basidiomycota. The dried sclerotium of this organism has been widely used in traditional Chinese medicine for several thousand years and it is prescribed in many formulations. The W. cocos ... ...

    Abstract Wolfiporia cocos is a saprophytic fungus belonging to the phylum Basidiomycota. The dried sclerotium of this organism has been widely used in traditional Chinese medicine for several thousand years and it is prescribed in many formulations. The W. cocos germplasm resources are complex and diverse, and the molecular mechanisms underlying the growth and development of its sclerotia are unclear. In this study, we used genome resequencing and transcriptome analysis to evaluate the genetic diversity of W. cocos germplasm resources in China and the mechanism of sclerotium growth and development. Phylogenetic and population structure analyses revealed that all the 39 tested strains were divided into three major groups. Most of the strains were clustered into one group, and the remaining strains were clustered into the other two groups. There may be a shared origin of cultivated W. cocos in the main production areas. Transcriptome analysis and quantitative reverse transcription-polymerase chain reaction confirmed that candidate genes related to the yield of W. cocos were mainly enriched in oxidation-reduction and carbohydrate metabolism and highly expressed in the ShenChuan strain, which had the highest comprehensive cultivation score. The findings will be helpful for further understanding the evolution and population structure of W. cocos and determining the functional genes that contribute to the high yield of sclerotia.
    MeSH term(s) Gene Expression Profiling ; Genetic Variation ; Phylogeny ; Sequence Analysis, DNA ; Wolfiporia/genetics
    Language English
    Publishing date 2022-09-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 134238-1
    ISSN 1432-0991 ; 0343-8651
    ISSN (online) 1432-0991
    ISSN 0343-8651
    DOI 10.1007/s00284-022-03011-3
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    Zs.A 1446: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    ab Jg. 2022: Lesesaal (EG)

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  8. Article: Mechanism of Longevity Extension of

    Deng, Yongfei / Liu, Han / Huang, Qian / Tu, Lingyun / Hu, Lu / Zheng, Bisheng / Sun, Huaiqing / Lu, Dengjun / Guo, Chaowan / Zhou, Lin

    Frontiers in nutrition

    2022  Volume 9, Page(s) 847064

    Abstract: Schizophyllum ... ...

    Abstract Schizophyllum commune
    Language English
    Publishing date 2022-03-11
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2776676-7
    ISSN 2296-861X
    ISSN 2296-861X
    DOI 10.3389/fnut.2022.847064
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  9. Article: 我国生态脆弱区生态技术分类体系研究进展.

    Zhang, Peng / Wu, Chunsheng / Zhu, Bisheng / Liu, Fang / Lu, Rongrong / Zhao, Zhongxu

    Ying yong sheng tai xue bao = The journal of applied ecology

    2023  Volume 34, Issue 2, Page(s) 547–554

    Abstract: Ecological technology is the core of ecological environment governance and restoration in ecologically vulnerable regions. A reasonable classification method is the basis for induction and summary of ecological techno-logy, which is of great significance ...

    Title translation Progress on eco-technology classification in ecologically vulnerable regions of China.
    Abstract Ecological technology is the core of ecological environment governance and restoration in ecologically vulnerable regions. A reasonable classification method is the basis for induction and summary of ecological techno-logy, which is of great significance to classify and solve ecological environmental problems and evaluate the effects of ecological technology implementation. However, there is still no standard method for the classification of ecological technology. From the perspective of ecological technology classification, we summarized the concept of eco-technology and related classification methods, in view of current situation and deficiency of ecological technology related classification, we put forward a system suitable for defining and classifying ecological technology in ecologically vulnerable regions of China, and analyzed the practicality and application prospect. Our review would provide reference for the management and promotion of ecological technology classification.
    MeSH term(s) Environment ; Technology ; China ; Conservation of Natural Resources/methods ; Ecosystem
    Language Chinese
    Publishing date 2023-02-21
    Publishing country China
    Document type Review ; English Abstract ; Journal Article
    ZDB-ID 2881809-X
    ISSN 1001-9332
    ISSN 1001-9332
    DOI 10.13287/j.1001-9332.202302.019
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Air pollutant prediction model based on transfer learning two-stage attention mechanism.

    Ma, Zhanfei / Wang, Bisheng / Luo, Wenli / Jiang, Jing / Liu, Dongxiang / Wei, Hui / Luo, HaoYe

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 7385

    Abstract: Atmospheric pollution significantly impacts the regional economy and human health, and its prediction has been increasingly emphasized. The performance of traditional prediction methods is limited due to the lack of historical data support in new ... ...

    Abstract Atmospheric pollution significantly impacts the regional economy and human health, and its prediction has been increasingly emphasized. The performance of traditional prediction methods is limited due to the lack of historical data support in new atmospheric monitoring sites. Therefore, this paper proposes a two-stage attention mechanism model based on transfer learning (TL-AdaBiGRU). First, the first stage of the model utilizes a temporal distribution characterization algorithm to segment the air pollutant sequences into periods. It introduces a temporal attention mechanism to assign self-learning weights to the period segments in order to filter out essential period features. Then, in the second stage of the model, a multi-head external attention mechanism is introduced to mine the network's hidden layer key features. Finally, the adequate knowledge learned by the model at the source domain site is migrated to the new site to improve the prediction capability of the new site. The results show that (1) the model is modeled from the data distribution perspective, and the critical information within the sequence of periodic segments is mined in depth. (2) The model employs a unique two-stage attention mechanism to capture complex nonlinear relationships in air pollutant data. (3) Compared with the existing models, the mean absolute error (MAE), root mean square error (RMSE), and mean absolute percentage error (MAPE) of the model decreased by 14%, 13%, and 4%, respectively, and the prediction accuracy was greatly improved.
    Language English
    Publishing date 2024-03-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-57784-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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