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It shows good electrocatalytic activity toward the reduction of iodate and could be used as an amperometric sensor for the determination of iodate in table warter.
A CHI 660 electrochemical workstation connected to a personal computer was used to control the electrochemical measurements and collect the data.
The redox peaks in Fig. 1 have well-defined shapes with nearly equal charges for the two-electron reduction and oxidation process of PQ.
This paper reports the quantitative analysis of iodate by electrocatalytic reduction with the PQ-modified glassy carbon ceramic electrode.
Overall, compared to the conventional PQ-modified carbon (graphite) ceramic composite electrodes [4], the new PQ-modified glassy carbon ceramic composite electrodes showed shorter response time, higher sensitivity and lower detection limit toward the electrocatalytic reduction of iodate.

Data from physical and chemical studies are presented, namely microhardness, porosity, thickness, specific surface area, adhesion and thermal stability of the active layer.
According to the literature data [15], aluminum [16] and titanium [17] were chosen as the substrate metal in advance.
According to data from [23], OT4-1 alloy is the most technologically advanced in terms of processing, and is highly resistant to aggressive environments and catalytic poisons in the production of sulfuric and nitric acids.
RAA method was used to obtain more accurate data, that is X-ray attenuation analysis.
Fig. 6 shows the data that characterize the dependence of the porosity of anodic oxide films on titanium OT4-1 plate on the duration of anodic oxidation.

Analytical expressions for cathodic reaction were developed for the reduction of H+ and the reduction of oxygen.
According to testing data, the limiting current at -0.5V vs. the solution concentration change at P, then reaction mechanism changes at P, before point P, the corrosion proceeds via the reduction of H+, while after point P, the corrosion proceeds via the reduction of the oxygen, and the concentration near P can be estimated to be: 0.011～0.012mol/cm3 for APF=1.5, 0.01～0.011mol/cm3 for APF=2.875, 0.01～0.0106mol/cm3 for APF=3.3, 0.01～0.0102mol/cm3 for APF=3.8 and 0.009～0.0096mol/cm3 for APF=4.3.
The kinetic parameters for reduction of H+.
This relationships were also developed by the testing data and shown as fig.8 at -0.5V, then n can be calculated from the slope of lines with D≈9.34×10-5cm2/s and d ≈2.5×10-3cm.
The kinetic parameters for reduction of oxygen.

Virtual honeynets architecture Honeynet architecture has three key elements: data control, data capture acquisition and data analysis.
The data control is the attacker attack behavior of the system outside the Honeynet limited mechanisms for reducing the deployment of the safety risks posed by the Honeynet.Data capture all acts that is monitored and recorded an attacker within the Honeynet.The data analysis is the attack captured data integration and analysis methods,with auxiliary safety researchers found that one of the attack methods, tools and purpose.Using data mining methods for data analysis in this paper, which we need to treat the analysis of data processing format to facilitate data mining, which requires the introduction of data processing.
Data capturing and processing In order to protect the normal operation of the data capture,The introduction of a multi-layer data capture mechanism,From system layer to the network layer,Including firewall capture of baotou data, covering command parser get keystroke information, flow data reorganization get attack tools intrusion detection system caught the attack information warning and binary data packet, data capture, purpose and data format to be different from each other.
The standardization of data processing Through the network packet capture collect is the original binary data.
The selection of these characteristic, both to be able to mark out the characteristics of data, and to do as far as possible concise, make these attributes have representative and save system resources, and improve the efficiency of the data processing.The network connection record some attributes on the final data mining result is no influence, these attributes in terms of security can't provide the desired value, and if these attributes to join characteristics focus will greatly influence the mining efficiency, even may cause the deviation of the results of data mining.Therefore, the original data effectively simplified is very necessary.Data reduction is in the mining purpose and data is the only expression characteristics under the premise of maximum lean data quantity.Through experiment and summary, this paper mainly selected datagrams characteristics are: service, src_IP, dest_IP, src_port, dest_port, flag and timestamp.

Saturated headway data of nine signalized intersections were observed by video method.
The data of pedetrian’s crossing speed were collected according to pedestrian’s gender and age, which were listed in table 5 and table 6.
Pedestrian’s crossing speed data was observed according to diffrent gender and they were shown as table 5.
Table 5 Pedestrian’s crossing speed data according to different gender Gender Male Femal Average speed Normal pavement(m/s) 1.41 1.36 1.39 Snowy pavement(m/s) 1.16 1.10 1.13 Reduction (%) -17.7 -19.1 -18.4 Icy pavement(m/s) 1.05 1.01 1.03 Reduction (%) -24.1 -25.0 -25.9 Pedestrians of Different Age.
Pedestrian’s crossing speed data was observed according to diffrent age and they were shown as table 6.

One-way ANOVA was used to analyze the data.
Measurement of NH3 Gas Reduction.
Data analysis.
The data showed that the microbes from fermented tobacco leaves could degrade organic matter during fermentation.
The results were indicated by data on the amount of emission per day of ammonia gas produced by excreta (Fig 5).

For the treatment of acid mine water an in-situ pilot plant with a self-sufficient energy supply and remote data transmission was tested in acidic pit lake 111, a small lake in the Lusatian mining district in Germany.
Pumps are also controlled using remote data transmission.
Changes of water quality through microbial sulphate reduction.
During testing the water was deacidified through microbial sulphate reduction.
For sulphate reduction between 40 and 50 % of the methanol added was consumed.

The new algorithm through PCA dimension reduction for complex data, got the low-dimensional data as the BP neural networks’ input, it will be beneficial to design the hidden layer of neural network, save a lot of storage space and computing time, and conductive to the convergence of the neural network.
Combining dimension reduction of the high dimensional data with neural network organically is one of the hot spots in neural network algorithm improvement, which has made remarkable achievements.
The theory of data dimension reduction methods is many, here using the traditional principal component analysis(PCA) [9].
We use standardization to nomalize the raw data and still use X to represent the data we get.
Dimensions of raw data are reduced by PCA, which not only reduces data redundance but also eliminates influence of the relative factors.

GHG emission was calculated through Intergovernmental Panel on Climate Change (IPCC) calculator 2006 based on secondary data of 2009 for all cities.
Therefore, this paper presents the estimation GHG emission based on secondary data in 2009 by Intergovernmental Panel on Climate Change (IPCC) calculator 2006 and the results were compared between urban and rural area.
The scenarios were set with actual situation based on data in 2009 and future expectation of municipal solid waste management as following : · Actual situation (AS): the total waste is disposed to landfill ( based on data and situation of municipal solid waste in 2009) · Scenario 1 (S1): mixing of management practice with high composting 60% of total waste and less landfill 40% of total waste (except the case study of Siem Reap area, it is assumed that 60% of organic waste is used for composting and the remaining waste is sent to landfill) · Scenario 2 (S2): 50% of each plastic, paper and metal material is reduced at landfill, and the remaining waste from waste reduction at landfill (50%) is sent to landfill in order to remove the non-compostable waste for anaerobic digestion · Scenario 3 (S3): 50% of each plastic, paper and metal material is reduced at landfill while 50% of organic waste is recycled for composting and the remaining waste is sent to landfill · Scenario 4 (S4): Waste
reduction at landfill 50% and the remaining waste is disposed off in landfill with gas recovery 5.
Moreover, for S3, the GHG reductions are 70.55% for Battambang and 82.74% for Siem Reap.

Second order and first order kinetic models were used for the fitting of the debromination data of BDE-47.
Results show that the debromination data of BDE-47 by the sunlight, ZVI, ZVI/AC and ZVI/IER in the current study are generally best described by the pseudo first order equation.
Meanwhile, the debromination data of BDE-47 by the ZVI and ZVI/IER can also be described by the pseudo second order equation.
Results show that the debromination data of BDE-47 by the sunlight, ZVI, ZVI/AC and ZVI/IER in the current study are generally best described by the first order equation, which is the pesudo first order equation because of the excessive amount of ZVI used.
Meanwhile, the debromination data of BDE-47 by the ZVI and ZVI/IER can also be described by the pseudo second order equation.