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  • Hindawi Limited  (2)
  • He, Xiaoming  (2)
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  • Hindawi Limited  (2)
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  • 1
    In: Evidence-Based Complementary and Alternative Medicine, Hindawi Limited, Vol. 2021 ( 2021-11-2), p. 1-11
    Abstract: Background. Knee osteoarthritis (KOA) occurs frequently in the elderly and causes pain, especially when they walk. Traditional Chinese medicine treatment is effective in releasing knee osteoarthritis. Jintiange (JTG) capsule is widely used in treating knee osteoarthritis, but its clinical effects such as pain relief are still unclear. This meta-analysis aims to evaluate the clinical results systematically and negative effects of JTG capsule in patients with knee osteoarthritis. Methods. A meta-analysis of clinical randomized controlled trials (RCTs) on JTG capsule treatment was carried out in KOA patients. The search time was from the establishment of the database to May 2021. The database included PubMed, Cochrane Library, EMBASE, Web of Science database, Chinese Biomedical database (CBM), Chinese VIP information, China National Knowledge Infrastructure (CNKI), and WanFang database. The outcome indicators were extracted from the included literature and analyzed, and the risk of bias was assessed through Cochrane Handbook 5.0.1. Results. Twenty-two articles analyzed in this study involved 1887 patients. JTG capsule used alone or used with other interventions affects total effective rate significantly (RR: 1.19; 95% Cl: 1.11, 1.29; P = 0.045 ), VAS score (SMD: −0.74; 95% Cl: −0.90, −0.59; P ≤ 0.001 ), WOMAC score (SMD: −0.77; 95% Cl: −0.96, −0.59; P ≤ 0.001 ), and Lequesne score (SMD: −0.82; 95% Cl: −1.02, −0.61; P = 0.010 ). Conclusion. Our current evidence indicated that JTG capsule may release the pain of KOA patients and improve their functional activity. However, considering the unsatisfactory quality of the included trials, more high-quality trials are needed to prove this issue.
    Type of Medium: Online Resource
    ISSN: 1741-4288 , 1741-427X
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2148302-4
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  • 2
    Online Resource
    Online Resource
    Hindawi Limited ; 2022
    In:  Wireless Communications and Mobile Computing Vol. 2022 ( 2022-7-25), p. 1-13
    In: Wireless Communications and Mobile Computing, Hindawi Limited, Vol. 2022 ( 2022-7-25), p. 1-13
    Abstract: Recent improvements in data mining technologies, besides the IoT, enable the implementation of a strategy for boosting oil output from oil wells. As a regularly employed improved oil recovery technology, steam flood injection takes use of thermodynamic and gravitational capabilities to deploy and neutralize oil on-site to raise oil output. Instead of relying on conventional physics to model steam floods, this research proposes using a combination of a chimp optimization algorithm (ChOA) and a decision tree to better represent steam flood performance. We present a method for dealing with a particular type of petroleum time series data using ChOA in conjunction with decision trees and IoT. It is shown that the method is useful in predicting oil production in steam floods. Even more impressive is the 4.02 percent increase in oil output that may be achieved via the use of a new optimization system that offers the best possible steam allocation plan. Our objective has been to develop a cloud-based minimum viable product capable of data collection and storage and also training and deployment of a cloud ChOA model. Predictive maintenance, for example, might benefit from this workflow’s ability to analyze time series data.
    Type of Medium: Online Resource
    ISSN: 1530-8677 , 1530-8669
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2045240-8
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