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文章阐述了资源管理在下一代智能光网络中的重要性,从邻接资源的管理和整个网络的带宽管理两个方面详细论述了智能光网络的资源管理技术,给出了基于链路资源管理协议（LMP）的智能光网资源管理解决方案.

BACKGROUND: The formation of bacterial biofilm on the material surface is the core problem of catheter-related urinary tract infection. Many researches have focused on the mechanism and prevention of such category of infection under static or simple hydrodynamic stimulation. The construction of dynamic model of bacterial biofilm of bladder urine flow close to real human diseases is the key to study the pathological mechanism and develop new technology of anti-biofilm infection. OBJECTIVE: To put forward the concept of turbulent flow shear stress of human bladder urine flow, construct this turbulent shear stress system based on the bacterial biofilm reactor of in vitro bionic human bladder, and explore the formation of E. coli biofilm stimulated by different stresses. METHODS: An in vitro dynamic bionic bladder urine flow model was designed. E. coli standard strain ATCC25922 was used as research object, and the medical silica gel was used as bacterial biofilm forming carrier. Four artificial urine flow stresses were simulated: hydrostatic pressure, constant turbulent flow shear stress, physiological turbulent flow shear stress and pathological turbulent flow shear stress (simulated urine retention environment). A bacterial biofilm reactor loaded with turbulent flow shear stress was established. Optical density value, colony count, and biofilm surface area of bacterial biofilm suspension were detected 24, 72, 120, and 168 hours. RESULTS AND CONCLUSION: (1) Optical density value of bacterial membrane suspension: there was significant difference between different urinary stress groups and different test time points (F=110.84, 187.96, all P < 0.000 1), and there was interaction effect between time and stress (F=50.05, P < 0.000 1). From hydrostatic pressure, constant turbulent flow shear stress, physiological turbulent flow shear stress, to pathological turbulent flow shear stress, the number of biofilm bacterial colonies increased. (2) Colony count of biofilm bacterial suspension smear: there was significant difference between different time (F=6.30, P=0.002 9); no difference was found between different urinary stress groups (F=1.11, P=0.400 1); and there was no interaction effect between time and stress (F=0.85, P=0.581 4). However, with the time extension of stress action, the colony count of complex stress group showed an increasing tendency, especially in the pathological turbulent shear stress. (3) Scanning electron microscopic characterization of biofilm bacteria: qualitative comparison between each group and different time points showed that the formation of bacterial biofilm was different from sparse fragments, lumps to large lumps. There were significant differences in the bacterial biofilm surface area between different urinary stress groups and at different times (F=505.72, 1 201.84, all P < 0.000 1), and there was interaction effect between time and stress (F=78.14, P < 0.000 1). From hydrostatic pressure, constant turbulent flow shear stress, physiological turbulent flow shear stress, to pathological turbulent flow shear stress, the biofilm formation increased significantly. (4) The results showed that this turbulent flow shear stress of human bladder urine flow can obviously stimulate E. coli biofilm formation in vitro. Its functional changes and pathogenic mechanism need to be further explored. [ABSTRACT FROM AUTHOR]

Objective To investigate the distribution and drug resistance of pathogenic bacteria in the patients with traumatic infection to provide a reference basis for rational use of antibacterial drugs in clinic. Methods The 876 samples were collected from the secretions of the patients with traumatic infection in our hospital from September 2015 to June 2016, and 504 isolated strains of pathogenic bacteria were analyzed statistically. Results The detection rates of traumatic infection pathogenic bacteria form high to low were in turn 35.3%(178/504) for Escherichia coli, 12.5%(63/504) for Staphylococcus aureus, 9.5%(48/504) for Klebsiella pneumoniae and 8.7%(44/504) for Pseudomonas aeruginosa. The detection rate of ESBLs producing Escherichia coli was 57.3%(102/178), which of ESBLs producing Klebsiella pneumoniae was 27.1%(13/48), which of MRSA was 33.3%(21/63)and which of MRCNS was 86.7%(13/15). Conclusion It is very important to strengthen the drug resistance monitoring of pathogenic bacteria in the patients with traumatic infection for guiding the rational use of antibacterial drugs and controlling the production of drug resistant strains. [ABSTRACT FROM AUTHOR]