Progress of Comprehensive Nursing on the Prevention of Postoperative DVT of Gynecologic Tumor

Deep vein thrombosis (DVT) is the second reason of death due to tumor. In order to find more effective methods for prevention of DVT due to gynecologic tumor, the advances of study and practice in this aspect should be summarized. As an important and effective measure for prevention of DVT, the comprehensive nursing is to be analyzed carefully. Lots of practices show that proper nursing measures can prevent effectively the occurrence of postoperative DVT. Virchow thought that DVT is caused by three factors: injury of venous wall, slowed blood flow and hypercoagulability. Thus, the prevention measures are presented on the factors such as application of sequential decompression elastic socks, intraoperative intervention etc. Clinical nursing pathway is shown to be very effective method recently. More effective measures and related facilities for prevention of DVT should be built in the future. Physical and psychological methods should be combined in the nursing of DVT.

Preface: Current research progress on mechanics of high speed rail

The construction and operation of high-speed rail（HSR）grid within the past two decades in China,in terms of the scale,may be possibly comparable to any national-wide construction in the history of China,even the Great Wall.By counting railways with commercial train service at the speed of200 km/h,China has the world’s longest HSR network with over 19 369.8 km of track in service today and this number

Progress on the Study and Practice of Venous Thromboembolism after Operation of Tumor

The incidence rate of venous thromboembolism (VTE) of patients after operation is very high. Many studies on VTE have been processed. The pathogenesis, dangerous factors and assessment method of VTE are summarized in this paper. Two theories of pathogenesis, theory of Virchow’s triad and theory of anoxia at the tip of venous valve, are introduced first. The main dangerous factors of VTE such as tumor, perioperative period are discussed then. The main assessment methods of VTE are introduced also. At last, some problems required to be studied deeper have been presented.

Advances in the Diagnosis of Breast Tumor by Using Imaging Technology

Breast tumor is the most common tumor in the world. The most important method to reduce the mortality due to breast tumor is diagnosed and found as early as possible. Imaging technology is one of the most important means to help doctors diagnose tumor early. This paper first simply introduces the common imaging technology. Then the mechanism and application of the ultrasonic elastic imaging technology in the diagnosis of breast tumor are summarized and discussed detailly. The methods for image treatment are introduced also. At last the development trend is analyzed. It is shown that the ultrasonic imaging technology is the most convenient and the cheapest relative to other imaging technologies such as nuclear magnetic imaging (NMI) and computer tomography (CT). Especially the ultrasonic elastic imaging technology can provide not only imaging information but also mechanism parameters, which helps to improve the accuracy of diagnosis obviously. Therefore, the ultrasonic elastic imaging technology is worthy of being studied further. More effective image analysis method is required.

Progress on Therapy of Infertility by Integrated Traditional Chinese and Western Medicine

Infertility is one of the difficult complicated diseases. Many couples suffer from it. The pathogenesis is very complicated. The imbalance or lesson of any link of the reproductive system can cause infertility. This paper summarizes the treatment of female infertility by integrated Traditional Chinese Medicine (TCM) and Western Medicine (WM) which can not only improve the ovulation rate and pregnancy rate, but also decrease the complications. The effects are better than that by TCM or WM only. Therefore, the coupling method is worth to be used widely in clinical practice.

ANISOTROPIC THERMOPIEZOELECTRIC SOLIDS WITH AN ELLIPTIC INCLUSION OR A HOLE UNDER UNIFORM HEAT FLOW

The two-dimensional problem of a thermopiezoelectric material containing an elliptic inclusion or a hole subjected to a remote uniform heat flow is studied. Based on the extended Lekhnitskii formulation for thermopiezoelectricity, conformal mapping and Laurent series expansion, the explicit and closed-form solutions are obtained both inside and outside the inclusion (or hole). For a hole problem, the exact electric boundary conditions on the hole surface are used. The results show that the electroelastic fields inside the inclusion or the electric field inside the hole are linear functions of the coordinates. When the elliptic hole degenerates into a slit crack, the electroelastic fields and the intensity factors are obtained. The effect of the heat how direction and the dielectric constant of air inside the crack on the thermal electroelastic fields are discussed. Comparison is made with two special cases of which the closed solutions exist and it is shown that our results are valid.

ON PROPERTIES OF HYPERCHAOS: CASE STUDY

Some properties of hyperchaos are exploited by studying both uncoupled and coupled CML. In addition to usual properties of chaotic strange attractors, there are other interesting properties, such as: the number of unstable periodic points embedded in the strange attractor increases dramatically increasing and a large number of low-dimensional chaotic invariant sets are contained in the strange attractor. These properties may be useful for regarding the edge of chaos as the origin of complexity of dynamical systems.

Editorial: Fluid mechanics problems in wind energy

Wind energy is growing as the key energy resource in many countries.Wind turbines convert the kinetic energy of moving air into electricity,in which fluid mechanics plays a vital role,from the aerodynamics of wind turbine blades,wind turbine wakes to atmospheric turbulence.Last one hundred years have seen the dramatic improvement on the performance of wind turbines,that the current designs are featured with higher power efficiency,larger rotor and higher tower when compared with those in 1980s.The growing wind power industry poses new requests for wind technologies,such as the design and control of floating offshore wind turbine(FOWT),the micro-sitting of wind turbines in complex terrains,and many others,which rely heavily on the advancements from the fluid mechanics aspect.

On the Blood Pressure in the Cardiovascular System

Background: Hemodynamics is a practical and complicated theoretical problem. The aim of this paper is to analyze the characteristics of blood pressure in the cardiovascular system changing with the mechanical parameters of blood vessels and the storage of some visceral organs. Method: The fluid network model was used for the study. The cardiovascular system was modeled as a system consisting of 20 segments of vessels. The main controlling parameters were determined first by using dimensional analysis. Then the responses of blood pressure of each segment of vessels were analyzed by changing the controlling parameters. Results: The parameters of the blood vessel of brain have the least influence on the pressures of other parts. The pressures of the system of blood vessels will decrease if some blood is stored in the liver or the abdominal vein system. Vice versa. The effects of regulation of blood on the variation of blood pressure are larger than the other controlling parameters. Conclusions: The controlling parameters of the abdominal aorta and ascending aorta affect greatly the blood pressure of each vessel.

Advances on Tumor Image Segmentation Based on Artificial Neural Network

Image technology is applied more and more to help doctors to improve the accuracy of tumor diagnosis as well as researchers to study tumor characteristics. Image segmentation technology is an important part of image treatment. This paper summarizes the advances of image segmentation by using artificial neural network including mainly the BP network and convolutional neural network (CNN). Many CNN models with different structures have been built and successfully used in segmentation of tumor images such as supervised and unsupervised learning CNN. It is shown that the application of artificial network can improve the efficiency and accuracy of segmentation of tumor image. However, some deficiencies of image segmentation by using artificial neural network still exist. For example, new methods should be found to reduce the cost of building the marked data set. New artificial networks with higher efficiency should be built.