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  1. Article ; Online: Masayuki TANIMOTO and R. Bin WONG, editors

    Jiarui Wu

    Asian Studies, Vol 11, Iss

    Public Goods Provision in the Early Modern Economy: Comparative Perspectives from Japan, China, and Europe

    2023  Volume 2

    Abstract: Previous studies regarding the emergence and development of social systems have often been based on the study of European nations, which largely ignores the fact that other nations also underwent the process in patterns that are either similar or ... ...

    Abstract Previous studies regarding the emergence and development of social systems have often been based on the study of European nations, which largely ignores the fact that other nations also underwent the process in patterns that are either similar or strikingly different from the European one. Contemporary researchers have identified this flaw and thus sought to address it by studying the emergence and development of social systems in non-European nations rather than assuming that the European model is the standard. It is in line with this new school of thought that Bin Wong and Masayuki Tanimoto explore social development in Japan and compare it with Europe. In their book Public Goods Provision in the Early Modern Economy: Comparative Perspectives from Japan, China, and Europe, the authors provide readers with a general overview of the systems for public goods provision in early modern Japan, while also offering comparison examples from Europe, primarily from Prussia.
    Keywords social systems ; early modern economy ; Japan ; China ; Europe ; Social sciences and state - Asia (Asian studies only) ; H53
    Subject code 950
    Language English
    Publishing date 2023-05-01T00:00:00Z
    Publisher University of Ljubljana Press (Založba Univerze v Ljubljani)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: The Application of a Solar–Air-Source Heat Pump Dual-Supply Heating System in a High-Cold Area in China

    Jiarui Wu / Miao Shen / Junxiao Feng

    Processes, Vol 11, Iss 737, p

    2023  Volume 737

    Abstract: Solar energy is the most available renewable resource and has great potential for various applications. Solar heat pumps are limited when operating alone due to weather and the unstable and intermittent nature of solar energy. The idea of combining a ... ...

    Abstract Solar energy is the most available renewable resource and has great potential for various applications. Solar heat pumps are limited when operating alone due to weather and the unstable and intermittent nature of solar energy. The idea of combining a solar collector with an air-source heat pump (ASHP) is proposed to solve the problems. Taking solar energy and air energy as the heat source of the system can improve the heat collection efficiency and heating performance coefficient of the dual-supply heating system in realizing the efficient and stable operation of the whole unit. This study investigated the application of a solar–air-source heat pump (S/AS-HP) dual-supply heating system for a residential building in Lhasa and compared the winter work performance and economic benefits of three different heating forms: solar–air-source heat pump, air-source heat pump, and solar–electric auxiliary heating systems. A simulation model was established and analyzed using the measurement data. The results show that during the heating period, the temperature of the primary side water supply is stable at about 60 °C, and the total operating hours of the solar collector period accounted for 26.9% of the total hours, of which 23.16% were independent operating hours. The average COP sys of the solar–air-source heat pump is 4.21, which greatly improves work performance compared with other systems, and the annual cost is the lowest among the three forms for the same service life at 41,824.6 CNY, saving 9.6% and 35.1% per year compared with the air-source heat pump system and the solar–electric auxiliary heating system. Considering conditions in alpine regions, S/AS-HP systems are the optimal heating solution for single buildings.
    Keywords solar energy ; air-source heat pump ; dual supply ; optimization model ; Chemical technology ; TP1-1185 ; Chemistry ; QD1-999
    Subject code 621
    Language English
    Publishing date 2023-03-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Aggregation, Transmission, and Toxicity of the Microtubule-Associated Protein Tau

    Jiaxin Hu / Wenchi Sha / Shuangshuang Yuan / Jiarui Wu / Yunpeng Huang

    International Journal of Molecular Sciences, Vol 24, Iss 15023, p

    A Complex Comprehension

    2023  Volume 15023

    Abstract: The microtubule-associated protein tau is an intrinsically disordered protein containing a few short and transient secondary structures. Tau physiologically associates with microtubules (MTs) for its stabilization and detaches from MTs to regulate its ... ...

    Abstract The microtubule-associated protein tau is an intrinsically disordered protein containing a few short and transient secondary structures. Tau physiologically associates with microtubules (MTs) for its stabilization and detaches from MTs to regulate its dynamics. Under pathological conditions, tau is abnormally modified, detaches from MTs, and forms protein aggregates in neuronal and glial cells. Tau protein aggregates can be found in a number of devastating neurodegenerative diseases known as “tauopathies”, such as Alzheimer’s disease (AD), frontotemporal dementia (FTD), corticobasal degeneration (CBD), etc. However, it is still unclear how the tau protein is compacted into ordered protein aggregates, and the toxicity of the aggregates is still debated. Fortunately, there has been considerable progress in the study of tau in recent years, particularly in the understanding of the intercellular transmission of pathological tau species, the structure of tau aggregates, and the conformational change events in the tau polymerization process. In this review, we summarize the concepts of tau protein aggregation and discuss the views on tau protein transmission and toxicity.
    Keywords tau aggregates ; tau toxicity ; tau transmission ; tauopathy ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
    Language English
    Publishing date 2023-10-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Book: Science & technology on public health in China

    Chen, Kaixian / Lin, Qishui / Wu, Jiarui

    a roadmap to 2050

    2010  

    Title variant Science and technology on public health in China
    Institution Zhong guo ke xue yuan
    Author's details Kaixian Chen ; Qishui Lin ; Jiarui Wu. Chinese Academy of Sciences
    Keywords China ; Öffentliches Gesundheitswesen ; Sozioökonomischer Wandel ; Wissenschaftlich-technischer Fortschritt ; Prognose 2050
    Subject Technisch-wissenschaftlicher Fortschritt ; Sozioökonomische Entwicklung ; Sozioökonomisches System ; Wirtschaftsentwicklung ; Öffentlicher Gesundheitsdienst ; Public health system
    Subject code 362.10951 ; 338.95106
    Language English
    Size XXIII, 62 S. : Ill., graph. Darst.
    Publisher Science Press ; Springer
    Publishing place Beijing ; Berlin u.a.
    Publishing country China
    Document type Book
    Note Literaturangaben
    HBZ-ID HT016486958
    ISBN 978-7-03-025620-1 ; 978-3-642-05337-5 ; 9783642053382 ; 7-03-025620-4 ; 3-642-05337-8 ; 3642053386
    Database Catalogue ZB MED Medicine, Health

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  5. Article ; Online: Interpersonal Relationship, Knowledge Characteristic, and Knowledge Sharing Behavior of Online Community Members: A TAM Perspective.

    Jiarui, Wu / Xiaoli, Zhang / Jiafu, Su

    Computational intelligence and neuroscience

    2022  Volume 2022, Page(s) 4188480

    Abstract: With the rapid development of information science and technology, online communities are attracting an increasing number of participants, who can share information, create original content, and offer emotional support, thus communicating and spreading ... ...

    Abstract With the rapid development of information science and technology, online communities are attracting an increasing number of participants, who can share information, create original content, and offer emotional support, thus communicating and spreading knowledge frequently within the community. To develop a model of influencing factors for the knowledge sharing behavior of online community members, this study employs the technology acceptance model (TAM) as a moderator variable based on the social exchange theory. In this study, the influencing factors model for knowledge sharing behavior of online community members was tested using PLS-SEM. The results show that knowledge sharing is motivated by trust and quality of knowledge; the interaction term of perceived usefulness and knowledge quality of the user has a significant negative correlation with the knowledge sharing behavior of online community users; perceived usefulness significantly positively moderates the correlation between knowledge tacitness and knowledge sharing behavior of users; perceived ease of use significantly positively moderates the relationship between knowledge quality and knowledge sharing behavior; perceived ease of use significantly negatively moderates the relationship between knowledge tacit and knowledge sharing behavior. In order to maximize the activity and stickiness of the online community platform, the platform must focus on maintaining and enhancing the platform's credibility and knowledge quality. On the other hand, the online community platform extols its professional utility and ease of operation, which are conducive to the generation of behavior that is conducive to knowledge sharing.
    MeSH term(s) Humans ; Interpersonal Relations ; Technology
    Language English
    Publishing date 2022-10-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2388208-6
    ISSN 1687-5273 ; 1687-5273
    ISSN (online) 1687-5273
    ISSN 1687-5273
    DOI 10.1155/2022/4188480
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Berberine inhibits RA-FLS cell proliferation and adhesion by regulating RAS/MAPK/FOXO/HIF-1 signal pathway in the treatment of rheumatoid arthritis

    Zhiqi Li / Meilin Chen / Zhaoyi Wang / Qiqi Fan / Zili Lin / Xiaoyu Tao / Jiarui Wu / Zhenquan Liu / Ruichao Lin / Chongjun Zhao

    Bone & Joint Research, Vol 12, Iss 2, Pp 91-

    2023  Volume 102

    Abstract: AimsRheumatoid arthritis (RA) is a common chronic immune disease. Berberine, as its main active ingredient, was also contained in a variety of medicinal plants such as Berberaceae, Buttercup, and Rutaceae, which are widely used in digestive system ... ...

    Abstract AimsRheumatoid arthritis (RA) is a common chronic immune disease. Berberine, as its main active ingredient, was also contained in a variety of medicinal plants such as Berberaceae, Buttercup, and Rutaceae, which are widely used in digestive system diseases in traditional Chinese medicine with anti-inflammatory and antibacterial effects. The aims of this article were to explore the therapeutic effect and mechanism of berberine on rheumatoid arthritis.MethodsCell Counting Kit-8 was used to evaluate the effect of berberine on the proliferation of RA fibroblast-like synoviocyte (RA-FLS) cells. The effect of berberine on matrix metalloproteinase (MMP)-1, MMP-3, receptor activator of nuclear factor kappa-Β ligand (RANKL), tumour necrosis factor alpha (TNF-α), and other factors was determined by enzyme-linked immunoassay (ELISA) kit. Transcriptome technology was used to screen related pathways and the potential targets after berberine treatment, which were verified by reverse transcription-polymerase chain reaction (RT-qPCR) and Western blot (WB) technology.ResultsBerberine inhibited proliferation and adhesion of RA-FLS cells, and significantly reduced the expression of MMP-1, MMP-3, RANKL, and TNF-α. Transcriptional results suggested that berberine intervention mainly regulated forkhead box O (FOXO) signal pathway, prolactin signal pathway, neurotrophic factor signal pathway, and hypoxia-inducible factor 1 (HIF-1) signal pathway.ConclusionThe effect of berberine on RA was related to the regulation of RAS/mitogen-activated protein kinase/FOXO/HIF-1 signal pathway in RA-FLS cells.Cite this article: Bone Joint Res 2023;12(2):91–102.
    Keywords Berberine ; Traditional Chinese medicine ; Rheumatoid arthritis ; fibroblast-like synoviocytes ; MMP-3 ; Diseases of the musculoskeletal system ; RC925-935
    Subject code 616 ; 610
    Language English
    Publishing date 2023-02-01T00:00:00Z
    Publisher The British Editorial Society of Bone & Joint Surgery
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Combining Satellite Imagery and a Deep Learning Algorithm to Retrieve the Water Levels of Small Reservoirs

    Jiarui Wu / Xiao Huang / Nan Xu / Qishuai Zhu / Conrad Zorn / Wenzhou Guo / Jiangnan Wang / Beibei Wang / Shuaibo Shao / Chaoqing Yu

    Remote Sensing, Vol 15, Iss 24, p

    2023  Volume 5740

    Abstract: There are an estimated 800,000 small reservoirs globally with a range of uses. Given the collective importance of these reservoirs to water resource management and wider society, it is essential that we can monitor and understand the hydrological ... ...

    Abstract There are an estimated 800,000 small reservoirs globally with a range of uses. Given the collective importance of these reservoirs to water resource management and wider society, it is essential that we can monitor and understand the hydrological dynamics of ungauged reservoirs, particularly in a changing climate. However, unlike large reservoirs, continuous and systematic hydrological observations of small reservoirs are often unavailable. In response, this study has developed a retrieval framework for water levels of small reservoirs using a deep learning algorithm and remotely sensed satellite data. Demonstrated at four reservoirs in California, satellite imagery from both Sentinel-1 and Sentinel-2 along with corresponding water level field measurements was collected. Post-processed images were fed into a water level inversion convolutional neural network model for water level inversion, while different combinations of these satellite images, sampling approaches for training/testing data, and attention modules were used to train the model and evaluated for accuracy. The results show that random sampling of training data coupled with Sentinel-2 satellite imagery was generally the most accurate initially. Performance is improved by incorporating a channel attention mechanism, with the average R 2 increasing by 8.6% and the average RMSE and MAE decreasing by 15.5% and 36.4%, respectively. The proposed framework was further validated on three additional reservoirs in different regions. In conclusion, the retrieval framework proposed in this study provides a stable and accurate methodology for water level estimation of small reservoirs and can be a powerful tool for small reservoir monitoring over large spatial scales.
    Keywords small reservoirs ; water level ; satellite imagery ; convolutional neural network ; attention mechanism ; Science ; Q
    Subject code 551
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: TreeQNet

    Zhenlei Li / Ya Huang / Qingrun Li / Yidi Sun / Chen Li / Jiarui Wu / Haoran Zheng / Rong Zeng

    BMC Bioinformatics, Vol 23, Iss 1, Pp 1-

    a webserver for Treatment evaluation with Quantified Network

    2022  Volume 6

    Abstract: Abstract Background Personalized therapy has been at the forefront of cancer care, making cancer treatment more effective. Since cancer patients respond individually to drug therapy, predicting the sensitivity of each patient to specific drugs is very ... ...

    Abstract Abstract Background Personalized therapy has been at the forefront of cancer care, making cancer treatment more effective. Since cancer patients respond individually to drug therapy, predicting the sensitivity of each patient to specific drugs is very helpful to apply therapeutic agents. Traditional methods focus on node (molecular) information but ignore relevant interactions among different nodes, which has very limited application in complex situations, such as cancer drug responses in real clinical practice. Results Treatment evaluation with Quantified Network (TreeQNet) is a webserver which could predict sensitivity to drugs for patients through the innovative use of proteomic and phosphoproteomic network from tumor tissues. Conclusion TreeQNet service: http://bioinfo.ustc.edu.cn/ . TreeQNet source code: https://github.com/Really00/treeqnet-web-front/ .
    Keywords Quantified Network ; Kinase-phospho substrate networks ; Drug susceptibility prediction ; Proteomic ; Phosphoproteomic ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Biology (General) ; QH301-705.5
    Language English
    Publishing date 2022-11-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: A Bioinformatics Research on Novel Mechanism of Compound Kushen Injection for Treating Breast Cancer by Network Pharmacology and Molecular Docking Verification

    Shuyu Liu / Xiaohong Hu / Xiaotian Fan / Ruiqi Jin / Wenqian Yang / Yifei Geng / Jiarui Wu

    Evidence-Based Complementary and Alternative Medicine, Vol

    2020  Volume 2020

    Abstract: Compound Kushen injection (CKI) has been extensively used in treating breast cancer (BC). However, the molecular mechanism remains unclear. In this study, 16 active compounds of CKI were obtained from 3 articles for target prediction. Then, a compound- ... ...

    Abstract Compound Kushen injection (CKI) has been extensively used in treating breast cancer (BC). However, the molecular mechanism remains unclear. In this study, 16 active compounds of CKI were obtained from 3 articles for target prediction. Then, a compound-predicted target network and a compound-BC target network were conducted by Cytoscape 3.6.1. The gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed on the DAVID database. The binding energy between the key targets of CKI and the active compounds was studied by molecular docking. As a result, 16 active compounds of CKI were identified, corresponding to 285 putative targets. The key targets of CKI for BC are HSD11B1, DPP4, MMP9, CDK1, MMP2, PTGS2, and CA14. The function enrichment analysis obtained 13 GO entries and 6 KEGG pathways, including bladder cancer, cancer pathways, chemical carcinogenesis, estrogen signaling pathway, TNF signaling pathway, and leukocyte transendothelial migration. The result of molecular docking indicated that DPP4 had strong binding activity with matrine, alicyclic protein, and sophoridine, and MMP9 had strong binding activity with adenine and sophoridine. In conclusion, the therapeutic effect of CKI on BC is based on the overall pharmacological effect formed by the combined effects of multiple components, multiple targets, and multiple pathways. This study provides a theoretical basis for further experimental research in the future.
    Keywords Other systems of medicine ; RZ201-999
    Subject code 540
    Language English
    Publishing date 2020-01-01T00:00:00Z
    Publisher Hindawi Limited
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Systematic review and network meta-analysis comparing Chinese herbal injections with chemotherapy for treating patients with esophageal cancer

    Dan Zhang / Jiarui Wu / Haojia Wang / Wei Zhou / Mengwei Ni / Xinkui Liu / Xiaomeng Zhang

    Journal of International Medical Research, Vol

    2020  Volume 48

    Abstract: Objective This study compared Chinese herbal injections (CHIs) plus chemotherapy with chemotherapy alone in terms of clinical efficacy and safety for treating patients with esophageal cancer (EC). Methods Randomized controlled trials (RCTs) of CHIs ... ...

    Abstract Objective This study compared Chinese herbal injections (CHIs) plus chemotherapy with chemotherapy alone in terms of clinical efficacy and safety for treating patients with esophageal cancer (EC). Methods Randomized controlled trials (RCTs) of CHIs combined with chemotherapy for treating EC published in English and Chinese databases were identified. The main outcomes were clinical efficacy, performance status, and adverse reactions. Random-effects models were fitted to calculate the odds ratios and 95% confidence intervals for all pair-wise comparisons. Results In total, 29 RCTs of eight CHIs were included in this study. The results of cluster analysis demonstrated that Compound Kushen injection plus chemotherapy was the optimal choice for improving the clinical efficacy rate. Shenfu injection was associated with a relatively high performance status. Compound Kushen injection and Shenfu injection were inferior to other CHIs in terms of preventing leukopenia and gastrointestinal side effects. Conclusions The combination of Compound Kushen injection with chemotherapy could improve efficacy and reduce adverse drug reactions versus chemotherapy alone in patients with EC.
    Keywords Medicine (General) ; R5-920
    Subject code 610
    Language English
    Publishing date 2020-01-01T00:00:00Z
    Publisher SAGE Publishing
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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