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  1. Article: Erratum: Yuan, B.,

    Yuan, Bocong / Li, Jiannan / Wang, Zhaoguo / Wu, Lily

    Healthcare (Basel, Switzerland)

    2020  Volume 8, Issue 2

    Abstract: Some details about author affiliations should to be updated in the article [ ... ]. ...

    Abstract Some details about author affiliations should to be updated in the article [...].
    Language English
    Publishing date 2020-06-03
    Publishing country Switzerland
    Document type Published Erratum
    ZDB-ID 2721009-1
    ISSN 2227-9032
    ISSN 2227-9032
    DOI 10.3390/healthcare8020156
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book ; Online: YUAN 2.0

    Wu, Shaohua / Zhao, Xudong / Wang, Shenling / Luo, Jiangang / Li, Lingjun / Chen, Xi / Zhao, Bing / Wang, Wei / Yu, Tong / Zhang, Rongguo / Zhang, Jiahua / Wang, Chao

    A Large Language Model with Localized Filtering-based Attention

    2023  

    Abstract: In this work, we develop and release Yuan 2.0, a series of large language models with parameters ... in large-scale distributed training. Yuan 2.0 models display impressive ability in code generation, math ... problem-solving, and chatting compared with existing models. The latest version of YUAN 2.0, including model ...

    Abstract In this work, we develop and release Yuan 2.0, a series of large language models with parameters ranging from 2.1 billion to 102.6 billion. The Localized Filtering-based Attention (LFA) is introduced to incorporate prior knowledge of local dependencies of natural language into Attention. A data filtering and generating system is presented to build pre-training and fine-tuning dataset in high quality. A distributed training method with non-uniform pipeline parallel, data parallel, and optimizer parallel is proposed, which greatly reduces the bandwidth requirements of intra-node communication, and achieves good performance in large-scale distributed training. Yuan 2.0 models display impressive ability in code generation, math problem-solving, and chatting compared with existing models. The latest version of YUAN 2.0, including model weights and source code, is accessible at Github.
    Keywords Computer Science - Computation and Language ; Computer Science - Artificial Intelligence ; Computer Science - Human-Computer Interaction
    Subject code 004
    Publishing date 2023-11-27
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Book ; Online: Yuan 1.0

    Wu, Shaohua / Zhao, Xudong / Yu, Tong / Zhang, Rongguo / Shen, Chong / Liu, Hongli / Li, Feng / Zhu, Hong / Luo, Jiangang / Xu, Liang / Zhang, Xuanwei

    Large-Scale Pre-trained Language Model in Zero-Shot and Few-Shot Learning

    2021  

    Abstract: ... into model architecture design. With this method, Yuan 1.0, the current largest singleton language model ... Few-Shot performance, and steady improvement is observed on the accuracy of various tasks. Yuan 1.0 ...

    Abstract Recent work like GPT-3 has demonstrated excellent performance of Zero-Shot and Few-Shot learning on many natural language processing (NLP) tasks by scaling up model size, dataset size and the amount of computation. However, training a model like GPT-3 requires huge amount of computational resources which makes it challengeable to researchers. In this work, we propose a method that incorporates large-scale distributed training performance into model architecture design. With this method, Yuan 1.0, the current largest singleton language model with 245B parameters, achieves excellent performance on thousands GPUs during training, and the state-of-the-art results on NLP tasks. A data processing method is designed to efficiently filter massive amount of raw data. The current largest high-quality Chinese corpus with 5TB high quality texts is built based on this method. In addition, a calibration and label expansion method is proposed to improve the Zero-Shot and Few-Shot performance, and steady improvement is observed on the accuracy of various tasks. Yuan 1.0 presents strong capacity of natural language generation, and the generated articles are difficult to distinguish from the human-written ones.
    Keywords Computer Science - Computation and Language ; Computer Science - Artificial Intelligence
    Subject code 004
    Publishing date 2021-10-10
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: The Effects of Yuan-Zhi Decoction and Its Active Ingredients in Both

    Liu, Yan / Huang, Xiaobo / Chen, Wenqiang / Chen, Yujing / Wang, Ningqun / Wu, Xiling

    Evidence-based complementary and alternative medicine : eCAM

    2020  Volume 2020, Page(s) 6807879

    Abstract: Chronic cerebral hypoperfusion (CCH) is closely related to the occurrence of Alzheimer's disease (AD) in the elderly. CCH can induce overactivation of autophagy, which increases the deposition of amyloid- ...

    Abstract Chronic cerebral hypoperfusion (CCH) is closely related to the occurrence of Alzheimer's disease (AD) in the elderly. CCH can induce overactivation of autophagy, which increases the deposition of amyloid-
    Language English
    Publishing date 2020-02-22
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2171158-6
    ISSN 1741-4288 ; 1741-427X
    ISSN (online) 1741-4288
    ISSN 1741-427X
    DOI 10.1155/2020/6807879
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Hepatoprotective and antioxidant effects of Wu-Zi-Yuan-Chung-Wan against CCl-induced oxidative damage in rats

    Hao-Yuan Cheng / Jung Chao / Chuan-Sung Chiu / I-Chien Hsieh / Hui-Chi Huang / Lung-Yuan Wu / Wen-Huang Peng

    European Journal of Inflammation, Vol

    2021  Volume 19

    Abstract: This study was designed to investigate the hepatoprotective potentials of the Wu-Zi-Yuan-Chung-Wan ...

    Abstract This study was designed to investigate the hepatoprotective potentials of the Wu-Zi-Yuan-Chung-Wan (WZYCW) using an animal model of carbon tetrachloride (CCl 4 ) induced liver injury. CCl 4 induced chronic liver hepatotoxicity in adult Sprague-Dawley rats. Excluding the control group, all of the rats with chronic liver fibrosis received 0.4% CCl 4 (1.5 mL/kg of body weight, ip) twice per week for 8 weeks. WZYCW (20, 100, and 500 mg/kg) and silymarin (200 mg/kg) were administered five times per week for 8 weeks. After 8 weeks, the rats were sacrificed, blood samples were obtained, and liver histological examinations were performed for subsequent assays. These results suggest that WZYCW considerably reduced Glutamic Oxaloacetic Transaminase (GOT), Glutamic Pyruvic Transaminase (GPT), Triglyceride (TG); and cholesterol activity; and the levels of malonaldehyde (MDA), nitric oxide (NO), and transforming growth factor-β 1 (TGF-β 1 ) in the liver. WZYCW also increased the level of superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPx), and glutathione reductase (GR) in liver tissue. WZYCW produced hepatoprotective and antifibrotic effects. This is the first study to demonstrate that WZYCW expressed hepatoprotective activity against CCl 4 induced acute hepatotoxicity in rat. In addition, the primary compound of WZCYW was analyzed using HPLC. The major peaks of WZCYW, including schizandrin. The results indicate that WZYCW not only enhances hepatic antioxidant enzyme activities and inhibits lipid peroxidation but also suppresses inflammatory responses in CCl 4 induced liver damage. Our findings provide evidence that WZYCW possesses a hepatoprotective activity to ameliorate chronic liver injury.
    Keywords Medicine ; R
    Subject code 610
    Language English
    Publishing date 2021-05-01T00:00:00Z
    Publisher SAGE Publishing
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article: Yuan-Zhi decoction in the treatment of Alzheimer's disease: An integrated approach based on chemical profiling, network pharmacology, molecular docking and experimental evaluation.

    Wu, Qiong / Li, Xiang / Jiang, Xiao-Wen / Yao, Dong / Zhou, Li-Jun / Xu, Zi-Hua / Wang, Nan / Zhao, Qing-Chun / Zhang, Zhou

    Frontiers in pharmacology

    2022  Volume 13, Page(s) 893244

    Abstract: Yuan-Zhi Decoction (YZD) is a traditional Chinese medical formulation with demonstrated clinical ...

    Abstract Yuan-Zhi Decoction (YZD) is a traditional Chinese medical formulation with demonstrated clinical benefits in Alzheimer's disease (AD). We used liquid chromatography coupled with mass spectrometry to identify 27 unique chemical components of YZD. Analyzing these using network pharmacology and molecular docking models identified 34 potential interacting molecular targets involved in 26 biochemical pathways. When tested in an animal model of AD, the APP/PS1 transgenic mice showed measurable improvements in spatial orientation and memory after the administration of YZD. These improvements coincided with significantly reduced deposition of Aβ plaques and tau protein in the hippocampi in the treated animals. In addition, a decreased BACE1 and beta-amyloid levels, a downregulation of the p-GSK-3β/GSK-3β, and an upregulation of the PI3K and p-AKT/AKT pathway was seen in YZD treated animals. These
    Language English
    Publishing date 2022-08-24
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2022.893244
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Spatial and Temporal Distribution of Bacterioplankton Molecular Ecological Networks in the Yuan River under Different Human Activity Intensity.

    Wu, Bobo / Wang, Peng / Devlin, Adam T / Chen, Lu / Xia, Yang / Zhang, Hua / Nie, Minghua / Ding, Mingjun

    Microorganisms

    2021  Volume 9, Issue 7

    Abstract: Bacterioplankton communities play a crucial role in freshwater ecosystem functioning, but it is unknown how co-occurrence networks within these communities respond to human activity disturbances. This represents an important knowledge gap because changes ...

    Abstract Bacterioplankton communities play a crucial role in freshwater ecosystem functioning, but it is unknown how co-occurrence networks within these communities respond to human activity disturbances. This represents an important knowledge gap because changes in microbial networks could have implications for their functionality and vulnerability to future disturbances. Here, we compare the spatiotemporal and biogeographical patterns of bacterioplankton molecular ecological networks using high-throughput sequencing of Illumina HiSeq and multivariate statistical analyses from a subtropical river during wet and dry seasons. Results demonstrated that the lower reaches (high human activity intensity) network had less of an average degree (10.568/18.363), especially during the dry season, when compared with the upper reaches (low human activity intensity) network (10.685/37.552) during the wet and dry seasons, respectively. The latter formed more complexity networks with more modularity (0.622/0.556) than the lower reaches (high human activity intensity) network (0.505/0.41) during the wet and dry seasons, respectively. Bacterioplankton molecular ecological network under high human activity intensity became significantly less robust, which is mainly caused by altering of the environmental conditions and keystone species. Human activity altered the composition of modules but preserved their ecological roles in the network and environmental factors (dissolved organic carbon, temperature, arsenic, oxidation-reduction potential and Chao1 index) were the best parameters for explaining the variations in bacterioplankton molecular ecological network structure and modules.
    Language English
    Publishing date 2021-07-19
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2720891-6
    ISSN 2076-2607
    ISSN 2076-2607
    DOI 10.3390/microorganisms9071532
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Spatial and Temporal Distribution of Bacterioplankton Molecular Ecological Networks in the Yuan River under Different Human Activity Intensity

    Wu, Bobo / Wang, Peng / Devlin, Adam T. / Chen, Lu / Xia, Yang / Zhang, Hua / Nie, Minghua / Ding, Mingjun

    Microorganisms. 2021 July 19, v. 9, no. 7

    2021  

    Abstract: Bacterioplankton communities play a crucial role in freshwater ecosystem functioning, but it is unknown how co-occurrence networks within these communities respond to human activity disturbances. This represents an important knowledge gap because changes ...

    Abstract Bacterioplankton communities play a crucial role in freshwater ecosystem functioning, but it is unknown how co-occurrence networks within these communities respond to human activity disturbances. This represents an important knowledge gap because changes in microbial networks could have implications for their functionality and vulnerability to future disturbances. Here, we compare the spatiotemporal and biogeographical patterns of bacterioplankton molecular ecological networks using high-throughput sequencing of Illumina HiSeq and multivariate statistical analyses from a subtropical river during wet and dry seasons. Results demonstrated that the lower reaches (high human activity intensity) network had less of an average degree (10.568/18.363), especially during the dry season, when compared with the upper reaches (low human activity intensity) network (10.685/37.552) during the wet and dry seasons, respectively. The latter formed more complexity networks with more modularity (0.622/0.556) than the lower reaches (high human activity intensity) network (0.505/0.41) during the wet and dry seasons, respectively. Bacterioplankton molecular ecological network under high human activity intensity became significantly less robust, which is mainly caused by altering of the environmental conditions and keystone species. Human activity altered the composition of modules but preserved their ecological roles in the network and environmental factors (dissolved organic carbon, temperature, arsenic, oxidation–reduction potential and Chao1 index) were the best parameters for explaining the variations in bacterioplankton molecular ecological network structure and modules. Proteobacteria, Actinobacteria and Bacteroidetes were the keystone phylum in shaping the structure and niche differentiations in the network. In addition, the lower reaches (high human activity intensity) reduce the bacterioplankton diversity and ecological niche differentiation, which deterministic processes become more important with increased farmland and constructed land area (especially farmland) with only 35% and 40% of the community variation explained by the neutral community model during the wet season and dry season, respectively. Keystone species in high human activity intensity stress habitats yield intense functional potentials and Bacterioplankton communities harbor keystone taxa in different human activity intensity stress habitats, which may exert their influence on microbiome network composition regardless of abundance. Therefore, human activity plays a crucial role in shaping the structure and function of bacterioplankton molecular ecological networks in subtropical rivers and understanding the mechanisms of this process can provide important information about human–water interaction processes, sustainable uses of freshwater as well as watershed management and conservation.
    Keywords Actinobacteria ; Bacteroidetes ; Proteobacteria ; agricultural land ; arsenic ; bacterioplankton ; dry season ; ecological differentiation ; freshwater ; freshwater ecosystems ; geographical distribution ; humans ; keystone species ; microbiome ; models ; redox potential ; rivers ; temperature ; watershed management ; wet season
    Language English
    Dates of publication 2021-0719
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2720891-6
    ISSN 2076-2607
    ISSN 2076-2607
    DOI 10.3390/microorganisms9071532
    Database NAL-Catalogue (AGRICOLA)

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  9. Article ; Online: Spatial and Temporal Distribution of Bacterioplankton Molecular Ecological Networks in the Yuan River under Different Human Activity Intensity

    Bobo Wu / Peng Wang / Adam T. Devlin / Lu Chen / Yang Xia / Hua Zhang / Minghua Nie / Mingjun Ding

    Microorganisms, Vol 9, Iss 1532, p

    2021  Volume 1532

    Abstract: Bacterioplankton communities play a crucial role in freshwater ecosystem functioning, but it is unknown how co-occurrence networks within these communities respond to human activity disturbances. This represents an important knowledge gap because changes ...

    Abstract Bacterioplankton communities play a crucial role in freshwater ecosystem functioning, but it is unknown how co-occurrence networks within these communities respond to human activity disturbances. This represents an important knowledge gap because changes in microbial networks could have implications for their functionality and vulnerability to future disturbances. Here, we compare the spatiotemporal and biogeographical patterns of bacterioplankton molecular ecological networks using high-throughput sequencing of Illumina HiSeq and multivariate statistical analyses from a subtropical river during wet and dry seasons. Results demonstrated that the lower reaches (high human activity intensity) network had less of an average degree (10.568/18.363), especially during the dry season, when compared with the upper reaches (low human activity intensity) network (10.685/37.552) during the wet and dry seasons, respectively. The latter formed more complexity networks with more modularity (0.622/0.556) than the lower reaches (high human activity intensity) network (0.505/0.41) during the wet and dry seasons, respectively. Bacterioplankton molecular ecological network under high human activity intensity became significantly less robust, which is mainly caused by altering of the environmental conditions and keystone species. Human activity altered the composition of modules but preserved their ecological roles in the network and environmental factors (dissolved organic carbon, temperature, arsenic, oxidation–reduction potential and Chao1 index) were the best parameters for explaining the variations in bacterioplankton molecular ecological network structure and modules. Proteobacteria , Actinobacteria and Bacteroidetes were the keystone phylum in shaping the structure and niche differentiations in the network. In addition, the lower reaches (high human activity intensity) reduce the bacterioplankton diversity and ecological niche differentiation, which deterministic processes become more important with increased farmland and ...
    Keywords human activity intensity ; bacterioplankton ; molecular ecological networks ; freshwater ecosystem functioning ; Biology (General) ; QH301-705.5
    Subject code 333
    Language English
    Publishing date 2021-07-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Network Pharmacology Integrated Molecular Docking Reveals the Anti-COVID-19 Mechanism of Qing-Fei-Da-Yuan Granules

    Hong, Zongchao / Duan, Xueyun / Wu, Songtao / Yanfang, Yang / Wu, Hezhen

    Natural Product Communications

    2020  Volume 15, Issue 6, Page(s) 1934578X2093421

    Abstract: ... Yuan (QFDY) granules have good anti-COVID-19 effects, but the underlying molecular mechanisms are ...

    Abstract Coronavirus disease (COVID-19), caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a highly infectious viral disease. Clinical observations have shown that Qing-Fei-Da-Yuan (QFDY) granules have good anti-COVID-19 effects, but the underlying molecular mechanisms are unclear. In this study, we explored the potential mechanism of QFDY with regard to its anti-COVID-19 effect. We first screened the active chemical constituents of QFDY based on the pharmacodynamic activity parameters, followed by screening with the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform. The Uniprot database was used for querying the corresponding genes of the target, and Cyoscape 3.6.1 software was used to construct the network of herb-compound-target. Protein interaction analysis, target gene function enrichment analysis, and signal pathway analysis were performed via STRING database, Database for Annotation, Visualization, and Integrated Discovery, and KEGG Pathway database. Molecular docking was used to predict the binding capacity of the core compound with COVID-19 hydrolase 3CL and angiotensin converting enzyme 2 (ACE2). The results showed that a network of herb-compound-target was successfully constructed, with key targets involving PTGS2, HSP90AA1, CAMKK2, NCOA2, and ESR1. Major metabolic pathways affected were those in cancer, procancer, nonsmall cell lung cancer, and apoptosis. The core compounds, such as quercetin, luteolin, and naringenin, showed a strong binding ability with COVID-19 3CL hydrolase; compounds such as anemasaponin C and medicocarpin showed a strong binding ability with ACE2. Thus, it is predicted that QFDY has the characteristics for multicomponent, multitarget, and multichannel overall control. The mechanism of action of QFDY in the treatment of COVID-19 may be associated with the regulation of genes co-expressed with ACE2, the regulation of inflammation and immune-related signaling pathways, and the influence of COVID-19 3CL hydrolase and ACE2 binding ability.
    Keywords Plant Science ; Complementary and alternative medicine ; Pharmacology ; Drug Discovery ; General Medicine ; covid19
    Language English
    Publisher SAGE Publications
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2430442-6
    ISSN 1555-9475 ; 1934-578X
    ISSN (online) 1555-9475
    ISSN 1934-578X
    DOI 10.1177/1934578x20934219
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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