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The optimal design is imposing a lower mass ratio that expected and is the main cause of efficiency reduction when very high velocity requirements are searched for, like in orbital launchers.
It would also enable a reduction in overall rocket mass because there would be no need to carry a device to ignite the solid propellant; b) The rocket would operate initially in the hybrid mode, which would afford the inherent reliability of that hybrid mode plus the controllability that is typically needed during the early phase of the ascent.
[9] *** (2014), Space Launch Report, Atlas V Data Sheet, Last updated January 10, 2014, http://www.spacelaunchreport.com/atlas5.html

It was predicted that the reduction in Al concentration in the glass would improve the biocompatibility of the resulting cement.
This data is highly significant in that it describes the first potentially useful non-aluminium ionomer glasses for medical applications.

The module has the perfect function and good generality and can help the designer for cost reduction.
The mass properties (mass prop) are the code of the data of structure type, defining mass properties and writing mass properties of model.

In light of emission reduction and weight saving in transport applications, Mg parts gain a lot attention due to their good specific mechanical properties and their low mass.
Nevertheless, significantly increasing air traffic [3], in combination with the aim to halve carbon emissions caused by aviation till 2050 [4] and the therefore necessary weight reductions led to a rethinking of Mg as engineering material.
In this work the responsible intermetallic phases are Al2Ca (identified with EDX - data not shown).

According to ISO 14040 series standards, technical frame of LCA is composed of the following four parts: (1) Goal and scope definition, which specifically includes determination of LCA implementation objective, product system boundary and functional unit, etc. (2) Inventory analysis, which determines the data of materials and energy consumption and waste emission in each unit process at each stage during product life cycle, and conduct arrangement and cataloguing according to the definitions of objective and scope. (3) Impact assessment, which assesses list data in a quantifiable way. (4) Result interpretation, which provides LCA findings and analysis, draws a conclusion, and put forwards a proposal.
Determination of functional unit 1 kg plastic pipeline is selected as one of the functional units in this research based on general rules of data statistics on production site and market transaction.
This research adopts the life cycle assessment model of "from cradle to gate" whose scope of the system boundary includes: (1) Manufacturing process of plastic pipes (see Figure 1 and Figure 2 respectively for flow diagram of system boundary and manufacturing process diagram); (2) Life cycle stage involved in production of raw materials; (3) Production of electricity and energy; (4) Transportation process of raw material Life cycle assessment on production of plastic pipeline in unit mass Data collection Data collection list of the three types of plastic pipelines is shown in Table 4, based on unit mass (kg) product production.
Raw material consumption, energy consumption and its transportation data of unit product in production phase of the three types of plastic pipelines in the research mainly come from the research results of the domestic typical businesses.
The upstream process data involved in the research is from the international and domestic public database [10~12].

However, the imperfect passivation regime also enlarged by the positive shift of that potential and by reduction of the protection potential.
This diagram is constructed by thermodynamic data for pure metal immersed in water.

In reverse-bias mode, CMP reduces reverse leakage current at low bias and increases breakdown voltage due to the reduction of thermionic field emission and elimination of local enhanced electric fields.
SBDs with diameters from 100 µm to 2000 µm are then refabricated on the same locations of this polished wafer, and current-voltage data is subsequently collected.

The resonant frequencies of the SiC micro resonators decreased with doping concentrations owing to the reduction of the Young's modulus of the poly 3C-SiC thin films.
But the mechanical properties in the 100 sccm case were almost the same as those in the 40 sccm case (data not shown).

However, there exist some issues: The existing compressive sensing process directly uses Gaussian matrix as the measurement matrix to do linear dimension reduction projection, which does not provide high security level and can fail to resist the chosen-plaintext attack.The existing compressive sensing process directly uses Gaussian matrix as the measurement matrix, which is not the optimal compressive sensing operator in real time applications, such as limited-resource sensors and video surverllance.
The GPSR algorithm [9] is adopted to recover compressive sensing image. 3.1 Recovery Recovery refers to decrypting and then reconstructing the plain image from its measurement data.

The ferrocenyl-containing polymers show many unique features in oxidation-reduction quality, optical, electric and magnetic properties which inorganic materials, metals or polymers do not have because many chemical reactions can occur in the ring of ferrocenyl.
The elemental analyses data are listed in Table 1.
Table 1 Elemental analyses of the compounds Compounds Found (Calc.) [%] C H monomer I 68.78 (68.49) 6.11 (5.94) monomer II 70.38 (69.83) 6.34 (6.03) polymer I 68.50 (-) 5.59(-) polymer II 63.53(-) 5.51(-) Results and discussion Infrared spectroscopy The IR spectra data of the monomers and polymers and the ascription of the absorption peaks are listed in Table 2.
Table 2 IR data of the monomers and polymers [cm-1] Compounds functional groups νC-H (Fc) νasC-H (CH3) νasC-H (CH2) νsC-H (CH3) νC=C δas C-H δsC-H (CH3) δC-H (Fc) monomer I 3092 2971 2931 2868 1629 1471 1356 816 monomer II 3088 2969 2928 2869 1629 1469 1357 820 polymer I 3092 2968 2929 2868 — 1467 1356 816 polymer II 3088 2968 2927 2863 1625 1468 1353 812 Fc: ferrocenyl 1HNMR spectra 1HNMR data of the monomers and polymer I and ascription of peaks are listed in Table 3.
Table 3 1H NMR data of the monomers and polymer I [ppm] Compounds -CH3 Fc-H CH2= -CH2- -CH= monomer I 1.61 (6H) (s) 3.89-4.29 (17H) (m) 4.99 (1H) (d) 5.29 (1H) (d) — 6.40 (1H) (t) monomer II 1.61 (6H) (s) 3.90-4.31 (16H) (m) 5.02 (1H) (s) 5.31 (1H) (d) — 6.41 (1H) (t) — polymer I 1.50-1.63 (m) 4.00-4.15 (m) — 1.50-1.63 (m) 1.73 (m) Fc: ferrocenyl Thermal properties of the polymers The DTA-TG diagrams of the polymers are shown in Fig. 2 and Fig. 3.