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  • Hindawi Limited  (6)
  • 1
    Online Resource
    Online Resource
    Intelligent Construction of Hospital Management Organization Based on Communication Technology and Information Fusion
    Hindawi Limited ; 2023
    In:  Wireless Communications and Mobile Computing Vol. 2023 ( 2023-5-5), p. 1-8
    Details
    In: Wireless Communications and Mobile Computing, Hindawi Limited, Vol. 2023 ( 2023-5-5), p. 1-8
    Abstract: With the mature application of 5G communication and the development of artificial intelligence, the deep integration of modern hospital management and information technology has been fully realized. Therefore, this paper explores the organizational structure and system design of our institute and implements the construction and operation of the information system according to the concept of “management institutionalization, organization informatization, and form computerization.” The construction of information management departments was strengthened, the entire 69 information systems with systematic thinking were managed, the dynamic management mechanism of information system operation and maintenance was established, and the fine closed-loop management of hospital processes was realized. The results show that the information system based on institutional management will improve the management efficiency of the hospital and ensure the real-time, accuracy, and security of hospital data information.
    Type of Medium: Online Resource
    ISSN: 1530-8677 , 1530-8669
    URL: Article
    DOI: 10.1155/2023/4758451
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2023
    detail.hit.zdb_id: 2045240-8
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  • 2
    Online Resource
    Online Resource
    Methylprednisolone Pulse Therapy or Additional IVIG for Patients with IVIG-Resistant Kawasaki Disease
    Hindawi Limited ; 2020
    In:  Journal of Immunology Research Vol. 2020 ( 2020-11-24), p. 1-7
    Details
    In: Journal of Immunology Research, Hindawi Limited, Vol. 2020 ( 2020-11-24), p. 1-7
    Abstract: There have been no robust data from clinical trials to guide the clinician in the choice of therapeutic agents for the child with intravenous immunoglobulin (IVIG) resistance. The treatment regimen for IVIG-resistant patients varies between institutions, and the best option has not yet been established. Therefore, in this trial, a total of 955 patients with Kawasaki disease (KD) were selected and were initially treated with IVIG (2 g/kg), of whom 80 (8.38%) assessed as IVIG resistant were randomly divided into two groups: Group A received the second IVIG treatment ( n = 40 ), and Group B received methylprednisolone pulse therapy (MPT, n = 40 ). The whole fever time, duration of fever after retreatment, hospital days, medical costs, readmission rate, and laboratory examination difference (△) were calculated. Coronary artery lesion (CAL) outcomes were followed up over two years. Patients in the MPT group had shorter fever after retreatment and lower medical costs; more rapid declines in C-reactive protein (CRP), neutrophils (N%), and platelet (PLT) levels; and more rapid rise in sodium. However, they also probably had a higher incidence of treatment failure and CALs than the additional IVIG treatment group in the long-term follow-up. Caution is still required in the use of MPT to treat IVIG-resistant KD.
    Type of Medium: Online Resource
    ISSN: 2314-7156 , 2314-8861
    URL: Article
    DOI: 10.1155/2020/4175821
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2020
    detail.hit.zdb_id: 2817541-4
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  • 3
    Online Resource
    Online Resource
    Edge UAV Detection Based on Cyclic Spectral Feature: An Intelligent Scheme
    Hindawi Limited ; 2023
    In:  Wireless Communications and Mobile Computing Vol. 2023 ( 2023-5-4), p. 1-8
    Details
    In: Wireless Communications and Mobile Computing, Hindawi Limited, Vol. 2023 ( 2023-5-4), p. 1-8
    Abstract: With the commercialization of the fifth-generation mobile communication network (5G), the scale of the unmanned aerial vehicle (UAV) industry has continued to expand. However, the unregistered UAV has caused frequent harassment incidents at international airports, and the problem of UAV crimes is increasing. Radio technology supports long-distance detection of unregistered UAV and can be used as an efficient early warning method for unregistered UAV, which has attracted extensive attention from academia and industry. The classic UAV detection based on remote control signal method faces technical bottlenecks such as being easily affected by environmental noise, high complexity, and low detection accuracy. In the paper, an UAV remote control signal detection method is proposed based on cyclic spectrum features. More specifically, a dataset of UAV remote control signal UAV-CYCset is firstly constructed in the frequency domain. Based on UAV-CYCset dataset, a network architecture is proposed based on improved AlexNet, and the average detection accuracy of the improved model reaches 85% (from -10 dB to 10 dB) according to the simulation experiments.
    Type of Medium: Online Resource
    ISSN: 1530-8677 , 1530-8669
    URL: Article
    DOI: 10.1155/2023/3770982
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2023
    detail.hit.zdb_id: 2045240-8
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  • 4
    Online Resource
    Online Resource
    Prediction of Click-through Rate of Marketing Advertisements Using Deep Learning
    Hindawi Limited ; 2022
    In:  Wireless Communications and Mobile Computing Vol. 2022 ( 2022-10-15), p. 1-7
    Details
    In: Wireless Communications and Mobile Computing, Hindawi Limited, Vol. 2022 ( 2022-10-15), p. 1-7
    Abstract: Aiming at the defect that the click-through rate of marketing advertisements cannot provide accurate prediction results for the company in time in the marketing strategy of Internet companies, this paper uses a deep learning algorithm to establish a prediction model for the click-through rate of marketing advertisements. The suggested model is called high-order cross-feature network (HCN). Furthermore, this paper also introduces the combination of feature vectors into the graph structure and as the nodes in the graph; therefore, the graph neural network (GNN) is used to obtain the high-level representation ability of structured data more fully. Through numerical simulations, we observed that HCN has the capability to provide Internet companies with more accurate advertising business information, user information, and advertising content. Moreover, HCN model is more reasonable to adjust the advertising strategy and can provide better user experience. The simulation outcomes indicate that the suggested HCN approach has noble adaptability and high correctness in forecasting the click-through rate of marketing advertisements. We observed that this improvement, in terms of predictions precisions and accuracies, can be as high as 17.52% higher than the deep neural network (DNN) method and 10.45% higher than the factorization network (FM) approach.
    Type of Medium: Online Resource
    ISSN: 1530-8677 , 1530-8669
    URL: Article
    DOI: 10.1155/2022/1931965
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2045240-8
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  • 5
    Online Resource
    Online Resource
    Chinese Herbal Formula, Modified Danggui Buxue Tang, Attenuates Apoptosis of Hematopoietic Stem Cells in Immune-Mediated Aplastic Anemia Mouse Model
    Hindawi Limited ; 2017
    In:  Journal of Immunology Research Vol. 2017 ( 2017), p. 1-12
    Details
    In: Journal of Immunology Research, Hindawi Limited, Vol. 2017 ( 2017), p. 1-12
    Abstract: A derivative formula, DGBX, which is composed of three herbs ( Radix astragali , Radix Angelicae sinensis , and Coptis chinensis Franch), is derived from a famous Chinese herbal formula, Danggui Buxue Tang (DBT) ( Radix astragali and Radix Angelicae sinensis ). We aimed to investigate the effects of DGBX on the regulation of the balance between proliferation and apoptosis of hematopoietic stem cells (HSCs) due to the aberrant immune response in a mouse model of aplastic anemia (AA). Cyclosporine (CsA), an immunosuppressor, was used as the positive control. Our results indicated that DGBX could downregulate the production of IFN γ in bone marrow cells by interfering with the binding between SLAM and SAP and the expressions of Fyn and T-bet. This herbal formula can also inhibit the activation of Fas-mediated apoptosis, interferon regulatory factor-1-induced JAK/Stat, and eukaryotic initiation factor 2 signaling pathways and thereby induce proliferation and attenuate apoptosis of HSCs. In conclusion, DGBX can relieve the immune-mediated destruction of HSCs, repair hematopoietic failure, and recover the hematopoietic function of HSCs in hematogenesis. Therefore, DGBX can be used in traditional medicine against AA as a complementary and alternative immunosuppressive therapeutic formula.
    Type of Medium: Online Resource
    ISSN: 2314-8861 , 2314-7156
    URL: Article
    DOI: 10.1155/2017/9786972
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2017
    detail.hit.zdb_id: 2817541-4
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  • 6
    Online Resource
    Online Resource
    A Network Fault Prediction-Based Service Migration Approach for Unstable Mobile Edge Environment
    Hindawi Limited ; 2023
    In:  Wireless Communications and Mobile Computing Vol. 2023 ( 2023-8-8), p. 1-13
    Details
    In: Wireless Communications and Mobile Computing, Hindawi Limited, Vol. 2023 ( 2023-8-8), p. 1-13
    Abstract: How to perform efficient service migration in a mobile edge environment has become one of the research hotspots in the field of service computing. Most service migration approaches assume that the mobile edge network on which the migration depends is stable. However, in practice, these networks often fluctuate greatly due to the fault of edge devices, resulting in unexpected service interruptions during the migration process. Besides, most of the existing solutions do not consider the migration cost and path selection in the event of edge network fault. Aiming at the above problems, we propose a service migration approach based on network fault prediction (SMNFP) for mobile edge environment. The SMNFP method first introduces the software-defined network as a global controller, which is used to monitor and collect the changing of the edge network and schedule the migration tasks. Second, a network fault prediction model based on Wide & Deep model is proposed to predict the upcoming faults in the network according to the alarm information of network equipment. Finally, the service migration problem is constructed as a Markov decision process, and a fault penalty function is introduced to avoid faulty nodes, together with the deep Q-learning method to solve the migration strategy. Simulation experiments are conducted on the public metro network fault dataset, and results show the proposed method can effectively predict network faults and complete service migration.
    Type of Medium: Online Resource
    ISSN: 1530-8677 , 1530-8669
    URL: Article
    DOI: 10.1155/2023/2753085
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2023
    detail.hit.zdb_id: 2045240-8
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