Objective
To investigate the efficacy of Kinesio taping combined with warm needling on knee osteoarthritis (KOA) and its effect on serum levels of immune globulin(Ig)A, IgG, IgM.
Methods
Sixty-two KOA patients who met the inclusion criteria were divided into 2 groups by random number table (31 cases in each group). The control group was treated with routine thrapy. Based on the control group, the observation group was treated with Kinesio taping combined with warm needling. After 6 weeks treatment, scores of visual analogue scale (VAS) was used to evaluate knee pain, Japanese orthopaedic association (JOA) scale was used to evaluate knee function, and Lequesne index was used to evaluate disease severity. The score of TCM clinical symptoms was conducted according to the KOA symptom grading quantification table, and the quality of life was evaluated according to the Chinese version of the MOS item short from health survey (SF-36). The Immunoglobulin(Ig)A, IgG and IgM levels were detected by ELISA method.
Results
The total effective rate in the observation group was 93.5%, and the control group was 71.0% (28/31). The difference was statistically significant between two groups (χ2=5.415, P=0.020).The total effective rate of clinical symptoms in traditional Chinese medicine in the observation groups as 90.3% (28/31) was higher than the control group as 64.5% (20/31), and the difference was statistically significant (χ2=5.905, P=0.015). After treatment, the serum level of IgA (2.91 ± 0.35 ng/ml vs. 4.50 ± 0.50 ng/ml, t=7.621), IgG (11.17 ± 1.31 pmol/L vs. 15.83 ± 1.94 pmol/L, t=13.523), IgM (3.14 ± 0.44 pmol/L vs. 5.44 ± 0.62 pmol/L, t=8.441) were significantly lower than control group (P<0.01). After 6 weeks’ treatment, tthe scores of VAS, Lequesne index, and clinical symptom of traditional Chinese medicin of the observation group were significant lower than those of the control group (t=7.765 and 9.903 respectively, all Ps<0.01), but the scores of JOA and the SF-36 were significantly higher than those of the control group (t=18.441, P<0.01). After 6 weeks’ treatment, the scores of pain in bed at night, morning stiffness, walking pain, pain from sitting up, maximum walking distance, daily activities, walking up stairs, walking down stairs, bending knee joint score in the observation group were significantly lower than those in the control group (t=8.933, 9.112, 9.225, 8.809, 9.240, 8.910, 7.903, 8.033, 7.031, respectively, all Ps<0.01), but the scores of physical pain, physiological function, physiological function, vitality, social function, emotional function, mental health in the observation group were significantly higher than those in the control group (t=12.450, 13.446, 13.779, 9.003, 13.331, 12.440, 15.309, all Ps<0.01).
Conclusions
The kinesio taping combined with warm needling can improve symptoms of traditional Chinese medicine and reduce pain of KOAand increase quality of life with the regulation of IgA, IgG, IgM.
Key words:
Osteoarthritis, knee; Needle warming therapy; Kinesio taping; Intramuscular absorption; Pain arthralgia; Therapies, investigational
Network traffic prediction plays a significant role in network management. Previous network traffic prediction methods mainly focus on the temporal relationship between network traffic, and used time series models to predict network traffic, ignoring the spatial information contained in traffic data. Therefore, the prediction accuracy is limited, especially in long-term prediction. To improve the prediction accuracy of the dynamic network traffic in the long term, we propose an Attention-based Spatial-Temporal Graph Network (ASTGN) model for network traffic prediction to better capture both the temporal and spatial relations between the network traffic. Specifically, in ASTGN, we exploit an encoder-decoder architecture, where the encoder encodes the input network traffic and the decoder outputs the predicted network traffic sequences, integrating the temporal and spatial information of the network traffic data through the Spatio-Temporal Embedding module. The experimental results demonstrate the superiority of our proposed method ASTGN in long-term prediction.
As a strategic emerging industry in China, new energy vehicles (NEV) industry has developed rapidly in recent years under the strong support of national industrial policies. In order to observe the effect of financial subsidies on R & D activities of NEV companies in China, this paper cuts through the perspective of R & D intensity of enterprises. According to the micro panel data of 75 listed companies in China's NEV industry chain from 2008 to 2016, empirical analysis shows that the financial subsidy has a positive effect on the R & D intensity of the NEV industry chain enterprises, and the financial subsidies are more obvious for the new energy vehicle core component manufacturing industry when considering the sub-sectors. In addition, some other factors that may affect China's NEV industry have also been discussed. This puts forward some empirical evidence and policy recommendations for the direction of the country's further subsidy policy for the promotion of NEV industry innovation.
'/%3e%3cuse xlink:href='%23a' transform='rotate(23.036 .093 25.536)'/%3e%3cuse xlink:href='%23a' transform='rotate(45.87 1.273 16.18)'/%3e%3cuse xlink:href='%23a' transform='rotate(69.945 .996 12.078)'/%3e%3cuse xlink:href='%23a' transform='rotate(20.66 -19.689 31.932)'/%3e%3c/svg%3e)