Performance Analysis for Dispensing Mechanism of Active Code

The dispensing mechanism of active code is a key technology in an active network. Conventional capsule and programmable switch approaches have their own shortcomings. The DCCAN(distributed code caching for active network) mechanism presented in this paper overcomes these shortcomings. In this paper, capsule and programmable switch approaches are introduced, and their shortcomings are analyzed. The principle of the DCCAN mechanism is described. The theory analysis in transmit width based on the DCCAN mechanism and capsule approach are described. The theory analysis shows that the DCCAN mechanism has many good characteristics and can improve the efficiency of an active network. Key factors which affect the transmit width based on the DCCAN mechanism are discussed. The using condition of the DCCAN mechanism is also discussed.

Research on Dispensing Mechanism of Active Code in Active Network

The dispensing mechanism of active code is the key technology in activenetwork. Conventional capsule and programmable switch approaches have their own shortcomings. DCCANmechanism presented in this paper overcomes their shortcomings. In this paper, capsule andprogrammable switch, approaches are introduced and their shortcomings are analyzed. The principle ofDCCAN mechanism is described. The theoretical analyses in transmission bandwidth based on DCCANmechanism and capsule approach are described, and key factors which affect the transmissionbandwidth based on DCCAN mechanism are also discussed. At the same time, the theoretical analyses inlatency based on DCCAN mechanism and capsule approach are described. The using condition of DCCANmechanism is also discussed.

Blue code: Is it a real emergency?

BACKGROUND: Cardiac arrests in hospital areas are common, and hospitals have rapid response teams or "blue code teams" to reduce preventable in-hospital deaths. Education about the rapid response team has been provided in all hospitals in Turkey, but true "blue code" activation is rare, and it is abused by medical personnel in practice. This study aimed to determine the cases of wrong blue codes and reasons of misuse.METHODS: This retrospective study analyzed the blue code reports issued by our hospital between January 1 and June 1 2012. A total of 89 "blue code" activations were recorded in 5 months. A "blue code" was defined as any patient with an unexpected cardiac or respiratory arrest requiring resuscitation and activation of a hospital alert. Adherence to this definition, each physician classified their collected activation forms as either a true or a wrong code. Then, patient data entered a database(Microsoft Excel 2007 software) which was pooled for analysis. The data were analyzed by using frequencies and the Chi-square test on SPSSv16.0.RESULTS: The patients were diagnosed with cardiopulmonary arrest(8), change in mental status(18), presyncope(11), chest pain(12), conversive disorder(18), and worry of the staff for the patient(22). Code activation was done by physicians in 76% of the patients; the most common reason for blue code was concern of staff for the patient.CONCLUSION: The findings of this study show that more research is needed to establish the overall effectiveness and optimal implementation of blue code teams.

Effects of allelochemicals on activity of nitrate reductase

Study on the effects of allelochemicals such as trans \|ferulic acid ( t \|FA), benzoic acid (BA) and p \|hydroxybenzoic acid ( p \|HA), isolated from decomposed wheat straw on the activity of nitrate reductase at different concentrations of allelochemicals and different pH is described. t \|FA (0.26, 2.58 and 5.15 mmol/L) and BA (4.09, 8.19 mmol/L) showed a certain inhibition to the activity of nitrate reductase. The highest inhibition rate was 18.40%, but BA (0.41 mmol/L) and p \|HA (0.36, 1.81 and 3.62 mmol/L) showed stimulation, the more strong stimulation rate was 15.80%. At pH 6 condition, the activity of nitrate reductase was stronger inhibited than pH 7 and pH 8, but the mixture of 3 allelochemicals at pH 6 showed a stimulation. The mixture, however, at pH 7 and pH 8 showed some inhibition. It was found that there was a relationship between production of NO\+-\-2 and transformation of NO\+-\-3.

Stimulus discrimination via responses of retinal ganglion cells and dopamine-dependent modulation

Neighboring retinal ganglion cells（RGCs）fire with a high degree of correlation.It has been increasingly realized that visual perception of the environment relies on neuronal population activity to encode and transmit the information contained in stimuli.Understanding how neuronal population activity contributes to visual information processing is essential for understanding the mechanisms of visual coding.Here we simultaneously recorded spike discharges from groups of RGCs in bullfrog retina in response to visual patterns（checkerboard,horizontal grating,and full-field illumination）using a multi-electrode array system.To determine the role of synchronous activity mediated by gap junctions,we measured the correct classification rates of single cells＇firing patterns as well as the synchronization patterns of multiple neurons.We found that,under normal conditions,RGC population activity exhibited distinct response features with exposure to different stimulus patterns and had a higher rate of correct stimulus discrimination than the activity of single cells.Dopamine（1μmol/L）application did not significantly change the performance of single neuron activity,but enhanced the synchronization of the RGC population activity and decreased the rate of correct stimulus pattern discrimination.These findings suggest that the synchronous activity of RGCs plays an important role in the information coding of different types of visual patterns,and a dopamine-induced increase in synchronous activity weakens the population performance in pattern discrimination,indicating the potential role of the dopaminergic pathway in modulating the population coding process.