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- 저자 : Bao-yong Lai (검색결과 5 건)
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Acupuncture for Treatment of Erectile Dysfunction: A Systematic Review and Meta-Analysis
Bao-yong Lai,Hui-juan Cao,Guo-yan Yang,Li-yan Jia,Suzanne Grant,Yu-tong Fei,Emma Wong,Xin-lin Li,Xiao-ying Yang,Jian-ping Liu 대한남성과학회 2019 The World Journal of Men's Health Vol.37 No.3
ChinaPurpose: To assess the effectiveness and safety of acupuncture for erectile dysfunction (ED).Materials and Methods: We searched six major English and Chinese databases included randomized controlled trials (RCTs) testing acupuncture alone or in combination for ED. Dichotomous data were presented as risk ratio (RR) and continuous data were presented as mean difference (MD) both with 95% confidence interval (CI). The Revman (v.5.3) was used for data analyses. Quality of evidence across studies was assessed by the online GRADEpro tool.Results: We identified 22 RCTs, fourteen of them involving psychogenic ED. Most of the included RCTs had high or unclear risk of bias. There was no difference between electro-acupuncture and sham acupuncture with electrical stimulation on the rate of satisfaction and self-assessment (RR, 1.50; 95% CI, 0.71–3.16; 1 trial). Acupuncture combined with tadalafil appeared to have better effect on increasing cure rate (RR, 1.31; 95% CI, 1.00–1.71; 2 trials), and International Index of Erectile Function-5 scores (MD, 5.38; 95% CI, 4.46–6.29; 2 trials). When acupuncture plus herbal medicine compared with herbal medicine alone, the combination therapy showed significant better improvement in erectile function (RR, 1.68; 95% CI, 1.31–2.15; 7 trials). Only two trials reported facial red and dizziness cases, and needle sticking and pruritus cases in acupuncture group. Conclusions: Low quality evidence shows beneficial effect of acupuncture as adjunctive treatment for people mainly with psychogenic ED. Safety of acupuncture was insufficiently reported. The findings should be confirmed in large, rigorously designed and well-reported trials.
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Bao-yong Lai,Li-yan Jia,Bo-Wen Yu,Shi-Bing Liang,Ai-Jing Chu,Hui-juan Cao,Jian-ping Liu,Xiao-Hua Pei 한국한의학연구원 2021 Integrative Medicine Research Vol.10 No.2
Background: Breast pain is one of the most common breast disorders, affecting 41%–69% women in the clinical populations. Chinese herbal medicine (Rupi Sanjie, RPSJ) capsule has been recommended to be commonly used for breast pain in China. This review aimed to systematically collect latest evidence and critically evaluate the eff ;ectiveness and safety of RPSJ capsule for breast pain. Methods: We searched 6 databases from their inception to June 1, 2020 for randomized clinical trials (RCTs) comparing RPSJ capsule with conventional drug therapies, placebo or no treatment. Primary outcomes were breast pain relief, reduction of breast mass and clinical cure rate. Results: Seventeen RCTs were included in total, involving 2899 participants with breast pain. RPSJ capsule showed a significant effects in shortening duration of the breast pain (MD-6.51 days, 95%CI [-8.57, -4.45], n = 82, 1 trial), shortening the duration of breast mass (MD-5.17 days, 95%CI [-7.56, -2.78], n = 82, 1 trial), improving clinical cure rate (RR 1.55, 95% CI [1.21, 2.00], I² = 64%, n = 1398, 10 trials) and total effective rate (RR 1.08, 95% CI [1.03, 1.14], I² = 71%, n = 2170, 14 trials) compared to Tamoxifen (TAM). The meta-analysis showed that the incidence of total adverse events was higher in TAM group than the RPSJ capsule group (RR 0.30, 95%CI [0.21, 0.42], I² = 49%, n = 2122, 13 trials). Conclusions: RPSJ capsule appears to be a potentially effective in treating breast pain and seems generally safe for clinical application. However, this potential benefit is inconclusive due to generally weak evidence, and the findings should be further confirmed in large and rigorous trials.
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Vocal Effort Detection Based on Spectral Information Entropy Feature and Model Fusion
( Hao Chao ),( Bao-yun Lu ),( Yong-li Liu ),( Hui-lai Zhi ) 한국정보처리학회 2018 Journal of information processing systems Vol.14 No.1
Vocal effort detection is important for both robust speech recognition and speaker recognition. In this paper, the spectral information entropy feature which contains more salient information regarding the vocal effort level is firstly proposed. Then, the model fusion method based on complementary model is presented to recognize vocal effort level. Experiments are conducted on isolated words test set, and the results show the spectral information entropy has the best performance among the three kinds of features. Meanwhile, the recognition accuracy of all vocal effort levels reaches 81.6%. Thus, potential of the proposed method is demonstrated.
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Vocal Effort Detection Based on Spectral Information Entropy Feature and Model Fusion
Chao, Hao,Lu, Bao-Yun,Liu, Yong-Li,Zhi, Hui-Lai Korea Information Processing Society 2018 Journal of information processing systems Vol.14 No.1
Vocal effort detection is important for both robust speech recognition and speaker recognition. In this paper, the spectral information entropy feature which contains more salient information regarding the vocal effort level is firstly proposed. Then, the model fusion method based on complementary model is presented to recognize vocal effort level. Experiments are conducted on isolated words test set, and the results show the spectral information entropy has the best performance among the three kinds of features. Meanwhile, the recognition accuracy of all vocal effort levels reaches 81.6%. Thus, potential of the proposed method is demonstrated.
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Yiding Wang,Jianhui Su,Jidong Lai,Bao Xie,Yong Shi,Hongru Yu 전력전자학회 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.1
Brushless doubly fed generator (BDFG) generally adopts double closed-loop vector control strategies. Owing to the influence of BDFG coupling parameters, the accuracy of feedforward decoupling parameters is very important; however, the complexity of the BDFG model makes its winding parameters difficult to identify. On the basis of the characteristics of the BDFG system control model and the decoupling control conditions, this study proposes a method for identifying the integrated coupling parameter. This method first uses particle swarm optimization to identify the coefficients of the current closed-loop transfer function. Then, the values of the integrated coupling parameters are calculated on the basis of the relationship between the coefficients of the current closed-loop transfer function and the integrated coupling parameters of the BDFG. This method bypasses the challenge of directly identifying BDFG winding parameters and can be used directly to design the controller. Experiments are performed using a 30 kW BDFG platform to prove the feasibility and effectiveness of the proposed method.
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