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The dotted curves are for the simulation data.
alloy composition indicates a reduction of the bandgap energy due to only the incorporation of N.
This confirms a reduction of the optical transition energy due to the quantum confinement effect by the InxGa1-xP1-yNy well.
The cause of a large reduction of PL and PLE intensity is assigned to the rising of non-radiative defects which mainly related to the incorporation of N [3, 5].
With a large reduction of the optical transition energy with increasing In and N contents, we were able to confirm the quantum confinement effect by the InxGa1-xP1-yNy well.

Shi1,f 1 State Key Laboratory of Advanced Technology for Materials Synthesis & Processing, Wuhan University of Technology, 122 Luoshi Road, Wuhan 430070, China a gqshao@mail.whut.edu.cn, bjkguo@sunm.shcnc.ac.cn cxlduan@126.com, d talentsun20@126.com, exz20012001@163.com fsxl@mail.whut.edu.cn Keywords: Nanocomposite, Core / rim structure, WC-Co Abstract: A nanocomposite WC-Co powder consisting of grains with a Co core / WC rim structure was prepared by precipitation covering - continuous reduction / carburization method.
Through continuous reduction / carburization gas - solid reaction in a fluid bed reactor [3], nanophase W-Co was prepared at 7505 for 0.5 h by H2 reduction and the reactive intermediate with high-surface-area was carbonized immediately at 9005 for 1 h, controlling carbon activity in CH4 / H2, then CO2 / H2 gas to form the black nanocomposite Co core / WC rim powder.
Warren [24-25] has induced the data of solid - liquid interfacial energies (14505) in WC-Co system which can be consulted in this work.
The rim phases present in the final microstructure form and grow during continuous reduction / carburization.
Conclusions Nanocomposite WC-Co powder consisted of grains with a Co core / WC rim structure was prepared by precipitation covering - continuous reduction / carburization method.

Recent research has focused on a new material which is an electrocatalyst for the oxygen reduction reaction in the intermediate temperature range (600-800oC) [2,3].
The Ag2O3-Bi2O3 composite cathodes exhibit low resistance to oxygen reduction due to a combination of high catalytic activity for oxygen reduction of both phases, as well as the high ionic conductivity of the δ-Bi2O3 phase [5].
For example, the LSCF perovskite cathode was found to yield the optimum porosity of 30% after sintering at 900°C and thus enabling the oxygen reduction to occur easily [9,10].
This is in accordance with data from the literature [12] which showed that the mass loss in the vehicle organic is higher than the mass loss in Ag2O3-Bi2O3 due to the smaller melting point and higher surface area available for vehicle organic adsorption.
Deseure et al. [8] suggested that controlling the cathode porosity at 20-30% can improve the oxygen reduction process.

The device can measure biosignal from the patient and it can save data in removable storage.
All patients’ data are stored in removable data storage, which is used to post-analyse on your computer.
The state of the battery management also stores data and statuses on the data storage.
The digital part of the circuit operates microcontroller, data storage and external digital sensors.
Measured data match with theoretical calculation by Peukert's law.

Adsorbed natural gas storage system provides reduction in compressor cost, tank manufacture cost and gas refueling cost (energy consumption is lower than compressed or liquefied natural gas storage system's energy consumption) and improves environmental safety due to the transfer of transport from fuel oil to natural gas.
Ng, Improved isotherm data for adsorption of methane on activated carbons, Journal of Chemical Engineering and Data, 55(2010)2840-2847.

This work explores how kriging can allow the trends from highly sampled data, such as track running, to be applied to less sampled data, such as CFD to improve computational and overall aerodynamic analysis.
The CFD model was validated against existing WT data.
In addition to the WT data, track data was also supplied by Carlin Motorsport.
The higher variability of the track data is clearly seen.
Nowlan, "Refining aeromaps from pitch data," Racecar Engineering, vol.

Study on SO2, NO removal from flue gas using an aqueous NaClO2 solution with oxidation reduction potential and pH control SUN YE School of Chemistry and Environment, Beihang University, Beijing 100191, China sunye021@163.com Keywords: Removal; Nitric oxide; Sulfur oxide; Sodium chlorite; ORP; pH Abstract.
Conventionally, though the current techniques involve wet limestone processes, selective catalytic reduction, etc., which are widely used processes and efficient for each pollutant, each pollution control device is at high cost and space requirement.
Oxidation reduction potential(ORP) has been proven to be economical and an effective technique for process control in many wastewater and WFGD treatment systems[13-15].
The R2, p- and F-values reflect the goodness of fit of each of the relationships to the data.

It can be conclusion that the data of experimental is right by comparing.
It is just sending data to channel as broadcast.
The graphic is drawn by data that obtained from PC.
This design can achieve data communications and the test data is in full compliance with the requirements of the system design.
Zheng: Meteorology and Disaster Reduction Research.

The total rolling force: (6) Rolling force in the elastic region: 　　　 (7) Elastic region of rolling force (8) Where: F—Rolling Force； —Rolling force in the plastic zone；—Rolling force in the elastic region；—Rolling force in Elastic compression zone；—Rolling force in Elastic recovery zone；—Strip thickness；—Tension per unit at the entrance；—Tension per unit of exit；—Friction coefficient；—Radius of roll flattening；—Rolling force of external friction effect parameters；—Reduction rate；—Poisson's ratio；—Young's modulus；—The impact of the entrance tension coefficient；—The impact of the exit tension coefficient.
　 (9)　 Where —The deformation resistance reverse calculation values；—Measured rolling force；—Measured strip thickness；—Measured per unit of tension；—Strip thickness；—Friction coefficient；—Radius of roll flattening；—stand number； In the expression，, and ，these　parameters can be directly measured by gauge meter and tension load cell. and　can　be gotten by　putting the　measured data　into the model.
Where，—the average deformation resistance；—material thickness；—the average thickness of the strip in the deformation zone；—entry thickness；—exit thickness；—the average reduction rate of total；—the average thickness of the impact factor；, —learning coefficient.
Measured values /MN Calculated values /MN Fig.3 Comparison between calculated and actual data after adaptive learning Fig.2 Comparison between calculated and actual data before adaptive learning Measured values /MN Calculated values /MN N=250 N=250 5 Conclusions (1) From the practical application of cold strip rolling deformation resistance reverse calculation model, we know that Newton iterative method can solve nonlinear equations quickly

In the primary phase of this paper are described ways to get characteristics data describing rough surfaces together with the formula for determination of surface pattern directional dependence.
The software generator of surface characteristics can be based on the statistical descriptive data [1]:
Scanned surfaces Among the main disadvantages of the surface roughness measurement process belong: the need to purchase an expensive equipment; highly time-consuming measuring process and subsequent data postprocessing; dependence on the preparation of the real surface sample.
This number is determined as a ratio of λx0.5 (the differential length of rough surface in direction of x axis, needed for the reduction of AACF by 50% of its original height) to λy0.5 (the differential length of rough surface in direction of y axis, needed for the reduction of AACF by 50% of its original height).