The application of nursing training in junior residents rotated in ophthalmology operating room

目的  提高初次轮转眼科手术室的住院医师对手术医疗原则认识。方法  对自2014年12月至2015年12月来初次轮转眼科手术室住院医师共28人进行无菌原则、手术分级原则、两方核查原则进行培训，培训后问卷调查。结果  在为期2个月的培训后，住院医师对无菌原则、手术分级原则和核查原则的认识掌握均有较大提高，能够遵守培训内容顺利完成手术。结论  眼科手术室护理人员进行低年资住院医师的培训对于他们掌握认识无菌原则、手术分级原则和核查原则有较大帮助，掌握程度在培训后大大提高，护理培训对年轻医生轮转手术室是必不可少的一部分。Objective: To improve medical understanding of principles of surgical treatment among residents rotated in ophthalmology operating room. Methods: From December 2014 to December 2015, a total of 28 junior residents received training with respect to principles of sterility, classification and two party’s verification, and answered questionnaire after training. Results: After two months of training, the resident obtained better understanding of the principles, and completed surgery successfully in line with the training content. Conclusion: The operating room nurse plays an important role in helping the junior residents understand aseptic principles, operation classification principle and verification principle. The junior residents improved greatly after the training. Nursing training is an essential part for junior residents rotated in ophthalmology operating room

Entanglement dynamics of a two-qubit system coupled individually to Ohmic baths

Developed originally for the Holstein polaron, the Davydov D1 ansatz is an efficient, yet extremely accurate trial state for time-dependent variation of the spin-boson model [J. Chem. Phys. 138, 084111 (2013)]. In this work, the Dirac-Frenkel time-dependent variational procedure utilizing the Davydov D1 ansatz is implemented to study entanglement dynamics of two qubits under the influence of two independent baths. The Ohmic spectral density is used without the Born-Markov approximation or the rotating-wave approximation. In the strong coupling regime finite-time disentanglement is always found to exist, while at the intermediate coupling regime, the entanglement dynamics calculated by Davydov D1 ansatz displays oscillatory behavior in addition to entanglement disappearance and revival.Comment: 8 pages, 3 figure

Transport Coefficients for Holographic Hydrodynamics at Finite Energy Scale

We investigate the relations between black hole thermodynamics and holographic transport coefficients in this paper. The formulae for DC conductivity and diffusion coefficient are verified for electrically single-charged black holes. We examine the correctness of the proposed expressions by taking charged dilatonic and single-charged STU black holes as two concrete examples, and compute the flows of conductivity and diffusion coefficient by solving the linear order perturbation equations. We then check the consistence by evaluating the Brown-York tensor at a finite radial position. Finally, we find that the retarded Green functions for the shear modes can be expressed easily in terms of black hole thermodynamic quantities and transport coefficients.Comment: 33 pages,4 figures,to appear in Advances in High Energy Physic

Risk Response for Municipal Solid Waste Crisis Using Ontology-Based Reasoning

Many cities in the world are besieged by municipal solid waste (MSW). MSW not only pollutes the ecological environment but can even induce a series of public safety crises. Risk response for MSW needs novel changes. This paper innovatively adopts the ideas and methods of semantic web ontology to build an ontology-based reasoning system for MSW risk response. Through the integration of crisis information and case resources in the field of MSW, combined with the reasoning ability of Semantic Web Rule Language (SWRL), a system of rule reasoning for risk transformation is constructed. Knowledge extraction and integration of MSW risk response can effectively excavate semantic correlation of crisis information along with key transformation points in the process of crisis evolution through rule reasoning. The results show that rule reasoning of transformation can effectively improve intelligent decision-making regarding MSW risk response

Adaptive Weighted Morphology Detection Algorithm of Plane Object in Docking Guidance System

In this paper, we presented an image segmentation algorithm based on adaptive weighted mathematical morphology edge detectors. The performance of the proposed algorithm has been demonstrated on the Lena image. The input of the proposed algorithm is a grey level image. The image was first processed by the mathematical morphological closing and dilation residue edge detector to enhance the edge features and sketch out the contour of the image, respectively. Then the adaptive weight SE operation was applied to the edge-extracted image to fuse edge gaps and hill up holds. Experimental results show it can not only primely extract detail edge, but also superbly preserve integer effect comparative to classical edge detection algorithm