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Arcam AB (Sweden) developed the technology and machines for the production of patient-specific implants using data derived from computer tomography.
The data is used to create an exact CAD model of the desired implant.
Machining of sintered titanium preforms leads to increased tool wear and to reduction of open porosity.

The localization of these peaks was found in good correlation with the literature data [10].
There was about 30 % reduction of the Si-H peak on the H passivated samples as depicted in Fig. 2(a).
Table 4 shows the process data and the thickness (in Angstrom) of the nitridized layers with the N-content, (in %) measured by XPS.

A seeding efficiency of over 90% was found (data not shown).
The result of the ALP data normalized for DNA is presented in Fig 4B.
ALP expression which was used as a marker of early osteogenesis of osteoblasts and control showed significant reduction of cells differentiation compared to Rainbow B, CPS and CPS+Sr.

The effect of cutting and cutting fluid application parameters on cutting temperature and surface roughness were analysed in hard turning of OHNS steel of 45 HRC, the significant reduction in cutting temperature and surface roughness were observed [18].
This indicated the excellent adequacy of the data set to the model.
The residuals falls on a straight line implying that the errors are distributed normally and confirms the normal distribution of data..

It has been seen that in the aluminum modified materials, aluminum content results in a reduction of the surface area and an increase of pore volume.
Specific surface area and pore volume of the different samples measured from N2 adsorption isotherms data.
Figure 8 contains experimental data relating the conversion of α-pinene versus the reaction time, employing the Al-MCM-41-5 and Ga-MCM- 5 catalysts at 373 K.

Overby[1] carried out study on remanufacturing as early as in 1980, he found that the advantages of remanufacturing involve material and energy conservation, job creation, reduction of pollution, and so on.
In 2002, Jorge et al [18]presented a model to predict the quantity and time for return of cores, and carry out simulation based on relative influencing factors and lifecycle data of products.
Core collection and transportation Remanufacturing process Distribution of remanufacturing products Use /reuse and maintenance Recycling and disposal Devising of an inventory checklist Data acquisition and review Construction of computational model Impact analysis Improvement analysis Fig.1.

It has been realized, that a reduction of the average carbide grain size below 1 µm is of advantage to further optimize the carbide fraction.
Specifications of the nanopowders are summarized in table 4, data of the suspensions based on these powders are given in table 5.
Mechanical and structural data of the HVSF sprayed coatings Spray material Vickers hardness Coating porosity (%) Rz [µm] Ra [µm] Phase composition derived from XRD n-Al2O3 1000 HV0.1 5 3.14 0.58 mainly γ n-TiO2 / TiC 710 HV0.1 1 - 2.5 31.4 5.52 mainly rutile n-Cr2O3 2250 HV0.1 0 – 0.5 5.80 0.74 hexagonal APS and HVOF sprayed wear resistant coatings combined with polymer top coats The combination of thermally sprayed wear resistant coatings with polymer top coats represent a composite coating that basically offers the possibility to combine wear resistance with added chemical or tribological functionality that is provided by the polymer system.

Differentiated data will be collected for analysis according to the objects and levels of analysis [10].
Patent analysis, widely used for scientific investigation or commercial application, provides basic data for information transfer, strategic management, technology predictions, and performance measurement between different organizations or between countries.
Improving efficiency in transportation High efficiency low pollution vehicle technology Smart transportation, logistics technology Green land Eco-space construction and urban regeneration technology Environment-friendly low energy construction technology Environment-friendly manufacturing process, material efficiency improvement Green Process technology considering environment load and predicted energy consumption Environment protection/ resource recycling Weather change prediction, impact evaluation Weather change prediction and modeling development technology Weather change impact evaluation and adaptation technology CO2 collection, storage, treatment technology Non-CO2 (Greenhouse gas other than carbon dioxide) treatment technology Water quality environment Water system, water quality evaluation and management technology Alternative water resource securing technology Environment restoring Harmful material monitoring and environment purification technology Waste treatment Waste reduction

The “experim” curves correspond to the data of experimental testing of three specimens from [16], showing envelopes of the highest and lowest load values for demonstration of the scattering of experimental data.
This model of material does not take into account reduction of stresses in the tensile zone of the concrete in case of crack opening, because it does not include the descending branch of the σi – εi diagram.

Long-term strength of the material Rbtl by 15¸20% lower than for short-term loaded structures. k4 – experimental parameter; b2 = Rs/Rbt; a2 = Es/Eb; m = As/A – are reduction factors; l – is the coefficient of elastic-plasticity of concrete.
To implement the proposed method for solving the problem of determining the stress-strain state of thin reinforced concrete round slabs, taking into account the deformation of the support contour and inelastic properties of the material, algorithm and program for calculating the structures under consideration were developed, the analysis of the calculation results and their comparison with experimental data were made.
Index unit of measure Loading stage 1 2 3 4 5 6 Load кН×м2 0,701 1,402 2,103 2.301 3,505 4,206 Experimental deflection мм 2,3 12,09 19,54 28,09 35,97 40,45 Design deflection мм 2,76 14,1 21,17 28,22 34,28 42,34 Experimental. / Races. — 0,833 0,856 0,923 0,99З 1,019 0,955 The discrepancy between the calculation results according to the proposed method and the experimental data at high levels of breaking loads does not exceed 15% by deflections.