Acupuncture combined with speech rehabilitation training for post-stroke dysarthria: a systematic review and meta-analysis of randomized controlled trials

Qianwen Xie,Xueyin Chen,Jingmin Xiao,Shaonan Liu,Lihong Yang,Jing Chen,Jiaqi Lai,Rui Lan,Yi Chen,Haifang Yang,Xinfeng Guo 한국한의학연구원 2020 Integrative Medicine Research Vol.9 No.4

Background: The evidence of Acupuncture combined with speech rehabilitation training for post-stroke dysarthria is insufficient and there is no consensus on its efficacy. Methods: We searched seven Chinese and English medicine databases for randomized controlled trials (RCTs) from their inception to November 2019. The primary outcome measure was the clinical response rate, assessed with the Frenchay Dysarthria Assessment (FDA) tool. We assessed risk of bias using the Cochrane risk-of-bias tool. We used GRADE to assess the certainty of evidence (CoE). Results: Thirty studies were included in this systematic review, 23 of which were pooled in meta-analysis. Acupuncture combined with speech rehabilitation training is likely beneficial for was response rate (n = 1685; RR = 1.37; 95% CI [1.29, 1.46], P < 0.01, I2 = 34%; 17 studies, low CoE) compared to speech rehabilitation treatment alone. Conclusion: The combination of acupuncture and speech rehabilitation training may improve total response rate of stroke patients with dysarthria. However, more RCTs with rigorous study design and validated outcome measures are needed to confirm the evidence.

Association between Metabolic Syndrome and Microvascular Complications in Chinese Adults with Type 1 Diabetes Mellitus

Qianwen Huang,Daizhi Yang,Hongrong Deng,Hua Liang,Xueying Zheng,Jinhua Yan,Wen Xu,Xiangwen Liu,Bin Yao,Sihui Luo,Jianping Weng 대한당뇨병학회 2022 Diabetes and Metabolism Journal Vol.46 No.1

Background: Both type 1 diabetes mellitus (T1DM) and metabolic syndrome (MetS) are associated with an elevated risk of morbidity and mortality yet with increasing heterogeneity. This study primarily aimed to evaluate the prevalence of MetS among adult patients with T1DM in China and investigate its associated risk factors, and relationship with microvascular complications.Methods: We included adult patients who had been enrolled in the Guangdong T1DM Translational Medicine Study conducted from June 2010 to June 2015. MetS was defined according to the updated National Cholesterol Education Program criterion. Logistic regression models were used to estimate the odds ratio (OR) for the association between MetS and the risk of diabetic kidney disease (DKD) and diabetic retinopathy (DR).Results: Among the 569 eligible patients enrolled, the prevalence of MetS was 15.1%. While female gender, longer diabetes duration, higher body mass index, and glycosylated hemoglobin A1c (HbA1c) were risk factors associated with MetS (OR, 2.86, 1.04, 1.14, and 1.23, respectively), received nutrition therapy education was a protective factor (OR, 0.46). After adjustment for gender, age, diabetes duration, HbA1c, socioeconomic and lifestyle variables, MetS status was associated with an increased risk of DKD and DR (OR, 2.14 and 3.72, respectively; both P<0.05).Conclusion: Although the prevalence of MetS in adult patients with T1DM in China was relatively low, patients with MetS were more likely to have DKD and DR. A comprehensive management including lifestyle modification might reduce their risk of microvascular complications in adults with T1DM.

Meta-Cognitive Fuzzy Neural Network Control for Active Power Filter

Ming Yang,Jienan Han,Qianwen Xie 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10

In this paper, an adaptive robust meta-cognitive fuzzy-neural-network control using sliding mode control is proposed for active power filter (APF), whereby a meta-cognitive fuzzy-neural-network (MCFNN) is employed to approximate modeling uncertainties. To overcome the drawbacks of conventional sliding mode control, the control law is constructed based on MCFNN rather than the actual systems. Unlike the predefined structure approaches, MCFNN is able to adapt the structure and parameters of the networks using the input information. Moreover, only the parameters of the rule nearest to the current input are adjusted online to reduce redundant or inefficient computation. Subsequently the Lyapunov stability analysis is presented to guarantee tracking performance and stability of the closed-loop system. Simulation studies demonstrate that the proposed control methods exhibit excellent performance in both steady state and transient operation.

Quantitative Detection of Corroded Reinforced Concrete of Different Sizes Based on SMFL

Mao Yang,Jianting Zhou,Qingyuan Zhao,Qianwen Xia,Hong Zhang,Lifeng Wang 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.1

In order to solve the problem of quantitative detection of corroded reinforced concrete of different sizes, the quantitative detection experiment based on spontaneous magnetic flux leakage (SMFL) was carried out in batches. Electrochemical corrosion of 27 reinforced concrete specimens was carried out, and the SMFL signals of reinforcement were obtained by magnetic detection equipment. Four-dimensional magnetic indicators M1-M4 that can characterize the corrosion degree of the specimens were defined. The influence of different sizes on the magnetic indicators were analyzed. It is concluded that the thicknesses of the concrete covers affect the magnetic indicators by affecting the lift-off heights z. The influence of diameter of the rebars on the quantitative detection can be eliminated by describing the corrosion degree with the average cross-section loss rate α. The influence of length of the rebars on quantitative detection is not clear yet. Finally, Support Vector Machine (SVM) was introduced to establish a classification model of corrosion classes and magnetic indicators. Using the model to predict the corrosion classes of the specimens can achieve a high classification accuracy. The research provides a new method for the quantitative detection of steel corrosion.

Study on the Kinetic Characteristics of Microbubbles in Cross-Shaped Flow Focusing Microchannels

Ding Weibing,Yang Qianwen,Zhao Yaohui,Wang Zhaohui,Chen Jie,Wang Hongxia 한국화학공학회 2024 Korean Journal of Chemical Engineering Vol.41 No.1

To study the mechanism of microbubbles generation in cross-shaped microchannels, numerical simulations of gas–liquid two-phase fl ow in microchannels are carried out in this paper using the volume of fl uid method (VOF). By varying the twophase fl ow rate, three diff erent fl ow regimes were obtained, including dripping regime, slugging regime and threading regime, and the relationship between the two-phase fl ow rate and the fl ow state was plotted. Meanwhile, the phase interface, pressure and velocity of microbubbles in three diff erent fl ow regimes were studied, and the evolution of the gas–liquid interface in microbubbles formation was analyzed. It is found that the microbubbles diameter decreases and the frequency increases as the viscosity of the continuous phase gradually increases. As the wall contact angle decreases, the adhesion of the liquid phase to the wall at the channel interaction increases and the microbubbles diameter increases. The increase in interfacial tension greatly increases the cohesion between molecules on the surface of the gas fl ow, making it diffi cult to achieve force equilibrium, which leads to a reduction in the shear stress required to dominate the interface to break the tip of the gas fl ow and slower bubbles formation, resulting in a larger microbubbles diameter.

Modified Recurrent Fuzzy Neural Network Sliding Mode Control for Nonlinear Systems

Yundi Chu,Ming Yang,Jienan Han,Qianwen Xie 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10

In this study, a modified fuzzy neural network sliding mode control for a class of nonlinear systems is designed. Firstly, the considered nonlinear system is given and a global sliding mode control is proposed. Then, a modified fuzzy neural network (FNN) is constructed and utilized for estimating the uncertain function. Compared with the conventional FNN, the designed FNN can obtain a better generalization capability with two feedback loops. Moreover, the stability analysis in the Lyapunov framework is implemented to ensure the zero-error-convergence performance. To validate the control performance of the proposed scheme, active power filter is selected as the controlled plant. The simulation results demonstrate that the designed control method can achieve superior control capability.