Analysis and Synthesis Concept of Caring in Nursing Professional

The purpose of this study was to analyze and synthesize a concept of caring in nursing professionals. The Ethnographic Delphi Future Research （EDFR） contained two phases： Phase 1： The analysis and synthesis of the concept of caring theory in nursing professionals from the literature, research and interviews. The participants were an expert in education, two nurses, two patients and two members of the patients＇ families. The research instrument was a semi-structural questionnaire. The data were analyzed by content analysis and categorized; and Phase 2： The selection of the expressions of caring behavior and guidelines for promotion of caring behavior in new nurses. The participants were two experts in education, eight experts in nursing administration and eight experts in nursing practice. The research instruments were three questionnaires. The data from the first Delphi technique were analyzed by the experts＇ recommendations. The data from the second and third Delphi technique were analyzed by the median and interquartile range of each behavior and consensus. The findings showed the main contents of caring that contained six components as follows： kindness, understanding worth and showing respect, professional relationship, professional competency, professional ethics, and holistic care. The training was a method for promotion of caring behavior. Additionally, in the the first Delphi technique, the experts approved all of the components of caring behavior and the guidelines for promotion of caring behavior as identified in the researchers＇ concepts. However, the researchers＇ concepts were developed 54 caring behaviors while the experts＇ opinion were 50 caring behaviors. In the second and third Delphi technique, all items of caring behaviors get consensus shown by interquartile range not more than 1.5 and the median since 3.5.

An Iteration Method Based on Homotopy Function for Solving Polynomial Systems and Application to Mechanisms Problems

A new iterating method based on homotopy function is developed in this paper. All solutions can be found easily without the need of choosing proper initial values. Compared to the homotopy continuation method, the solution process of the present method is simplified, and the computation efficiency as well as the reliability for obtaining all solutions is also improved. By application of the method to the mechanisms problems, the results are satisfactory.

ESTIMATION AND UNCERTAINTY QUANTIFICATION FOR PIECEWISE SMOOTH SIGNAL RECOVERY

This paper presents an application of the sparse Bayesian learning(SBL)algorithm to linear inverse problems with a high order total variation(HOTV)sparsity prior.For the problem of sparse signal recovery,SBL often produces more accurate estimates than maximum a posteriori estimates,including those that useℓ1 regularization.Moreover,rather than a single signal estimate,SBL yields a full posterior density estimate which can be used for uncertainty quantification.However,SBL is only immediately applicable to problems having a direct sparsity prior,or to those that can be formed via synthesis.This paper demonstrates how a problem with an HOTV sparsity prior can be formulated via synthesis,and then utilizes SBL.This expands the class of problems available to Bayesian learning to include,e.g.,inverse problems dealing with the recovery of piecewise smooth functions or signals from data.Numerical examples are provided to demonstrate how this new technique is effectively employed.

Stability control of steer by wire system based on μ synthesis robust control

The uncertainty influences may result in performance deterioration and instability to the steer by wire(SBW) system. Thus, it must make the control system keep robust stability from uncertainty, and have good robustness. In order to effectively restrain the interference and improve steering stability, this paper presents a μ synthesis robust controller based on SBW system, which considers the effect of model uncertainty and external disturbance on the system dynamics. Taking the ideal yaw rate tracking, interference suppression and excellent robustness as the control objectives, the μ synthesis robust controller is designed using linear fractional transformation theory to deal with the uncertainty. Then, it is testified through time domain and robustness simulation analysis. Simulation results show that the proposed controller can not only ensure robustness and robust stability of the system quite well, but improve handling stability of the vehicle effectively. The results of this study provide certain theoretical basis for the research and application of SBW system.

Robust strictly positive real synthesis for polynomial families of arbitrary order

For any two n-th order polynomials a(s) and b(s), the Hurwitz stability of their convex combination is necessary and sufficient for the existence of a polynomial c(s) such that c(s)/a(s) and c(s)/b(s) are both strictly positive real.