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Table 1 - Data for the as-received powders and for Nimonic ® 90 alloys.
Table 2 presents measured Archimedes densities and Vickers hardness data for products sintered for 3 hr at 1310 ºC.
This is also attested by data in Table 3.
Fig. 4 - Typical σ x ∆L data and fracture morphology of W/A tensile bars sintered at 1280 ºC / 2 hr, at three different final heat treatment states.
Table 4 - Measured mechanical properties for lot B samples and typical data for Nimonic® 90.

The Evaluation of 4PL Enterprise Competitiveness Based on Information Entropy-"eural "etwork Using survey data, the application of information entropy and neural network to the fourth party logistics enterprise competitiveness.
These data in neural network operation, so in this step also are normalized processing.
Based on the above data for isometric method and discrete to 5 levels.
In table 4 for sample data network training.
First of all data on the normalized and input to the enterprise network, the evaluation.

Substantial lead time reduction can not be expected under present circumstances.
In other words, the main task is to solve the problem of data exchange and data sharing.
Data level is the database server.
All data are stored in the database server.
All the data in ORACLE databases can be accessed via ODBC and JDBC interfaces by using JAVA.

The polarization data showed that the inhibitor acts as a mixed-type inhibitor, and fits the Langmuir adsorption isotherm.
Oxygen reduction and hydrogen evolution also arise to balance the anodic reactions to the dissolution.
Table 1 shows the data obtained from the electrochemical tests of mild steel such as Ecorr, Jcorr, corrosion rate, and polarization resistance.
Table 1 above displays details on the weight reduction.
Popoola, Data on environmental sustainable corrosion inhibitor for stainless steel in aggressive environment, Data in brief. 22(2019) 451-457

According to data from the Central Statistics Agency (BPS), Indonesia’s population reached 257.77 million in mid-22.
Data collected from sensors installed in various locations of the is transmitted to a centralized data collection center.
This center may operate on a cloud based platform, enabling remote monitoring and comprehensive data analysis.
Investment in Technological Infrastructure Build digital networks, software platforms, and secure data management systems.
The formulation of robust privacy regulations and secure data storage protocols is essential to mitigate these risks [21].

The role of the second phases amount on the microstructural features and on some mechanical data preliminary evaluated was established.
These ameliorations include a dramatic reduction of the matrix grain size (due to the pinning effect exerted by the second phase particles) and improved mechanical properties.
In AZY20, a significant reduction of the alumina grain size can be easily observed.
It should be pointed out that a very preliminary mechanical characterization has been here performed; future work will imply more systematic and complete investigations, in order to state a correlation among microstructural features and mechanical data.

The data at different rotation speed, cyanide concentrations, temperature and oxygen pressure are obtained.
Dissolution involves an electrochemical process in which the anodic reaction is Palladium oxidation while the cathodic reaction is oxygen reduction.
The activation energy data shows the dissolution of palladium involves electrochemical process.
The dissolution mechanism involves an electrochemical process in which the anodic reaction is palladium oxidation while the cathodic reaction is oxygen reduction

Recently, in spindle motors for hard disk drive (HDD) devices, fluid dynamic bearings (FDB) with herringbone grooves have come to be used instead of ball bearings due to the demand for high density recording of the devices, improvement in the speed of data transfer, and the quietness of the motor.
Introduction In spindle motors for hard disk drive (HDD) devices and polygon mirror motors for laser scanners, fluid dynamic bearings (FDB) of herringbone bearings and three lobe bearings have come to be used instead of conventional ball bearings due to the demand for high density recording of the devices, improvement in the speed of data transfer and the quietness of the motor.
A layer of Cu-Sn alloys is formed on the bearing's surface and a reduction in the coefficient of friction and wear resistant is achieved, because a Cu foil powder is used for the raw material powder.
In the temperature range of less than 0 degree Celsius, the reduction in bearing loss of the 5-lobe bearing clearly clarified the current value as calculated in the results of Fig. 6.

The methodology of measurement of thermal conditions and of the heat output capacity is presented, with an example of data, collected so far.
· Both heat content changes and lateral heat flows are related to temperature gradients in the landfill and the related temperature reductions
The average deposit temperature based on the data processed is 49.9 °C » 50 °C.
Efficient utilization of the heat generated and stored in landfills can contribute to protection of the environment, when the landfill gas is not released the atmosphere, as well as to reduction of the amount of deposited garbage.

Results show that the method could not only reduce the geometry data volume of point models directly, but also reduce the sampling point number without debasing the numerical precision of the model geometry data, so as to further reduce data volume of point model.
Introduction At present, the 3D model obtained by scanners contains large sampling point set, which leads to unmanageable problems with large amount of data in the data processing procedures.
With the increasing of data size of the obtained sampling point set, the grid operation is becoming more and more difficult.
Therefore, the establishment of multiresolution data structure based directly on sampling point set data in 3D data processing must be considered.
Results show that the method could not only reduce the geometry data volume of point models directly, but also reduce the sampling point number without debasing the numerical precision of the model geometry data, so as to further reduce data volume of point model.