Study on Effect of Massage Technique based on Chaos Theory

Ping Feng,Xiao-li Wang,Chao Zhang,Wei Sun,Dai-min Chen 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.12

According to the mechanism of EMG signal, we know that the sacrificial electrical signal is with weak signal, low frequency, alternating, nonlinear and non-stationary characteristics. Nonlinear analysis includes higher order spectral analysis and fractal and chaos analysis.Chaos theory is one of the main parts of nonlinear science, and the electrical signal of the surface has a strong randomness, so we could consider the nonlinear analysis of EMG signals from the perspective of chaos. We mainly studied on the nonlinear analysis algorithm of EMG signal detailedly in this paper. Experiments show that,according to the quantitative analysis of several important parameters of rolling massage with chaos theory, we can measure objectively the action situation of related muscle groups in the operation course, then guide the professional massage students to understand the norms of operation in training of operation and help to lead their manipulation to the best power structure.

Risk Factors for Cervical Cancer in Rural Areas of Wuhan China: a Matched Case-control Study

Zhang, Bin,Zhou, Ai-Fen,Zhu, Chang-Cai,Zhang, Ling,Xiang, Bing,Chen, Zhong,Hu, Rong-Hua,Zhang, Ya-Qi,Qiu, Lin,Zhang, Yi-Ming,Xiong, Chao-Du,Du, Yu-Kai,Shi, Yu-Qin Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.12

Cervical cancer is a serious public health problem in developing countries. We investigated possible risk factors for cervical cancer in rural areas of Wuhan China using a matched case-control study with 33 women diagnosed with cervical cancer and 132 healthy women selected from the same area as matched controls. A questionnaire, which included questions about general demography conditions, environmental and genetic factors, the first sexual intercourse, first marriage age, age at first pregnancy, pregnancy first child's age, female personal health history, social psychological factors, dietary habits, smoking and alcohol status and other living habits was presented to all participants. At the same time, HPV infection of every participant was examined in laboratory testing. Results showed HPV infection (P<0.000, OR=23.4) and pregnancy first child's age (P<0.000, OR=13.1) to be risk factors for cervical cancer. Menopause (P=0.003, OR=0.073) was a protective factor against cervical cancer. However, there was no indication of associations of environmental (drinking water, insecticide, disinfectant) genetic (cancer family history), or life-style factors (smoking status, alcohol status, physical training, sleep quality), including dietary habits (intake of fruit and vegetable, meat, fried food, bean products and pickled food) or social psychological factors with cervical cancer. The results suggest that the risk of cervical cancer in Chinese rural women may be associated with HPV infection, menopause and the pregnancy first child's age.

Research of Acoustic Emission Testing Method with Application to Monitored for Wind Turbines

Qin Hongwu,Zhang Chao,Zhang Xian,Fan Qinyin 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.1

Acoustic Emission method of nondestructive check is based on exertion wave radiation and their registration during fast local material structure reorganization. It is used as a means of analysis of materials, constructions, productions control and diagnosis during operating time. In the article, it is applied to structural health monitoring of Wind Turbines. Acoustic emission testing is based condition monitoring system uses data already collected at the wind turbine controller. It is an effective way to monitor wind turbines for early warning of failures and performance issues. We used a number of measurements to develop anomaly detection algorithms and investigated classification techniques using clustering algorithms and principal components analysis for capturing fault signatures. When registering signal amplitude it is required to consider its frequency distribution connecting each amplitude rate with the corresponding vibration rate. The correlation and signal to noise ratio were evaluated by the algorithm based on frequency spectrum. Classical method of frequency distortion influence exclusion consists of FRF calculation with subsequent adjustment of received signals spectral characteristics.

Fabrication of Photopolymer Hierarchical Micronanostructures by Coupling Electrospinning and Photolithography for SERS Substrates

Wen-Yi Zhang,Xin-Ze Xiao,Chao Lv,Jia Zhao,Gong Wang,Xuan Gu,Ran Zhang,Bin-Bin Xu,Dan-Dan Zhang,Ai-Wu Li,Yong-Lai Zhang,Hong-Bo Sun 한국고분자학회 2013 Macromolecular Research Vol.21 No.3

Reported here is the fabrication of photopolymer hierarchical micronanostructures through a combinative process of electrospinning and subsequent photolithography. Electrospun SU-8 (epoxy-based negative photoresist)nanofiber films have been patterned into gratings with periods of 100, 200, 300, and 400 μm, respectively. Deposition of a silver nanolayer on these interlaced nanofiber films would lead to the formation of various plasmonic nanostructures,and therefore, giving rise to abundant surface-enhanced Raman scattering (SERS) “hot spots”. In the detection of Rhodamine 6G (R6G), probing molecule, the resultant SERS substrates show both high sensitivity and good reproducibility. The SERS enhancement factor could reach as high as ~108, indicating high efficiency. The fabrication of patterned, highly efficient SERS substrates may hold a great promise for the integration of SERS substrates in various microdevices such as microfluidic chips.

Nonlinear Stochastic Time-varying System Identification Based on Multi-dimensional Taylor Network with Optimal Structure

Chao Zhang,Hong-Sen Yan 제어로봇시스템학회 2016 제어로봇시스템학회 국제학술대회 논문집 Vol.2016 No.10

A novel method for nonlinear stochastic time-varying systems identification based on multi-dimensional Taylor network with optimal structure is proposed. In this paper, the connection weight coefficients of multi-dimensional Taylor network are regarded as the time-varying parameters, which are trained by the variable forgetting factor recursive least squares algorithm, to reflect the input-output change of nonlinear stochastic time-varying systems. Moreover, to avoid the dimension explosion, the weight-elimination algorithm is introduced to choose effective regression items of multi-dimensional Taylor network, thereby the simplest structure of network which has the best generalization ability is obtained. Simulation results show that the method proposed in this paper is valid.

Effect of Peripheral Blood CD4 + CD25 + Regulatory T Cell on Postoperative Immunotherapy for Patients with Renal Carcinoma

Zhang, Chao-Hua,Huang, Yan Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.4

Objective: To investigate the effect of peripheral blood CD4 + CD25 + regulatory T cell on postoperative immunotherapy in patients with renal carcinoma. Methods: 38 patients with renal cell carcinoma were recruited, and 20 patients from the operation group purely underwent the radical nephrectomy therapy, 18 patients from the combined group successively underwent the radical nephrectomy therapy and IFN-${\alpha}$ adjuvant immunotherapy. Additionally, 12 healthy subjects were recruited in the same period of time and regarded as the control group. Flow cytometry was used to detect CD4 +, CD8 +, CD4 + CD25+ T lymphocyte subset content and the ratio of all parts in the pre-operative period, in the first post-operative week and in the third post-operative month, compare and analyze its variation trend. Results: The CD4+CD25+ T lymphocyte subset content of individual renal carcinoma patients was significantly higher than that of the control group, also increases with the progression in the tumor stage (P<0.05). The post-operative CD4 + CD25+T lymphocytes of individual operation group and combined group patients showed different degrees of increment, but the increment of the combined group was significantly lower than that of the operation group (P<0.05). For the combined group patients with less pre-operative CD4 + CD25+T lymphocytes, their levels would increase after the immunotherapy, while the pre-operative patients with more CD4 + CD25+ T lymphocytes were the opposite situation. Conclusion: The detection of peripheral blood CD4+CD25+ regulatory T lymphocyte subset can reflect the anti-tumor immune status of renal cell carcinoma patient body. It can contribute to predict the prognosis of immunotherapy and provide reference for the choice of renal carcinoma post-operative adjuvant immunotherapy.

The injector-based regenerative supercritical organic Rankine cycle

Chao Liu,Xi Wang,Hong Gao,Cheng Zhang,Chao He 대한기계학회 2016 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.30 No.5

In order to improve the thermodynamic performance of the Supercritical organic Rankine cycle (SORC), the regenerative supercritical organic Rankine cycle with an injector (RORC) is presented. For the moderate temperature of waste heat, the thermodynamic performance of RORC and SORC are investigated by using the working fluid R123. The effects of extraction pressure, expander inlet temperature, expander inlet pressure and condensing temperature on the net power output and the thermal efficiency have been analyzed. The net power output of RORC is greater than one of SORC when the extraction pressure is lower than 0.45 MPa. When the extraction pressure is 0.6 MPa, the efficiency of RORC reaches the maximum (16.06%), which is 0.66% higher than one of SORC. This reveals that the performance of RORC is better than that of SORC.

OPTION PRICING UNDER GENERAL GEOMETRIC RIEMANNIAN BROWNIAN MOTIONS

Zhang, Yong-Chao Korean Mathematical Society 2016 대한수학회보 Vol.53 No.5

We provide a partial differential equation for European options on a stock whose price process follows a general geometric Riemannian Brownian motion. The existence and the uniqueness of solutions to the partial differential equation are investigated, and then an expression of the value for European options is obtained using the fundamental solution technique. Proper Riemannian metrics on the real number field can make the distribution of return rates of the stock induced by our model have the character of leptokurtosis and fat-tail; in addition, they can also explain option pricing bias and implied volatility smile (skew).

Weed Management and Herbicide Industry in China

Chao-Xian Zhang 한국잡초학회 2011 한국잡초학회 별책(학술대회 초록집) Vol.31 No.2

COMPACT COMPOSITION OPERATORS ON BESOV SPACES ON THE UNIT BALL

Chao Zhang Korean Mathematical Society 2023 대한수학회보 Vol.60 No.3

In this paper, we give new necessary and sufficient conditions for the compactness of composition operator on the Besov space and the Bloch space of the unit ball, which, to a certain extent, generalizes the results given by M. Tjani in [10].