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Thereafter, the data generated by the design were analyzed using analysis of variance (ANOVA), and coefficient of regression (R-squares).
This is in agreement with the data reported by Hussain et al. [39] who stated that the bi-functional catalyst possessing good pore size distribution of this kind could allow good adsorption of the reactant molecules on the active site of the catalyst.
Fig. 3: SEM Image of the Formulated Bi-functional Catalyst (60 wt%/40 wt%) Table 2: The BET Analysis Samples Surface Area (m2/g) Pore volume area (cc/g) Pore size data (nm) Calcined cow bones (Ca9P6O24).Ca.F2 199.1 0.1187 2.4460 Sulphonated-Carbonized corncobs (PAC-SO3H) 142.6 0.0727 2.0960 Bi-functional (PAC-SO3H/(Ca9P6O24).Ca.F2 472.3 0.1380 2.4330 The EDX analysis of the bifunctional catalyst was also carried out as shown in Fig. 4.
The high yield of 98.98 % achieved with 60 % and 40 % (PAC-SO3H and (Ca9P6O24.Ca F2) respectively suggests the strong ability of time and temperature towards the reduction of high FFA content due to a very large positive coefficient displayed in the model.

Statistical Analysis Data were expressed as average ± standard deviation for a number of 3 replicates for each analysis and statistical significance was determined.
SEP-(SF/PVA) scaffold shows lower extent of swelling which may be due to crosslinking mediated reduction in porosity.
Histology data clearly showed that the cell growth was uniform across the scaffolds for both SF/PVA and SEP-(SF/PVA) group.
Similar to the MTT data, cell growth was found higher in SEP-(SF/PVA).

Although the use of lightweight woodchip concrete ensured a dead load reduction, the load bearing capacity of the woodchip concrete is approximately 20% less compared to normal concrete composite slabs.
All load gauge, strain gauges and LVDT were connected to data logger and computer as shown in Fig.3.
The method require data from full-scale bending test to acquire the two coefficients “m” and “k” which represent mechanical interlock between concrete-profiled steel decking and the frictional bond between them respectively.
The data obtain from the experiment are plot by using the longitudinal shear stress, τu equation according to Eq. 1 which provide the m-k information regarding the samples tested.

Still, such a ‘view from above’, while providing quantitative data related to food access, neglects several qualitative features that could prove assets in a place-based approach.
Beyond the paradoxical defiance in such a ‘global economy’, it should be noted the role that UA plays against the reduction of the ecological footprint and/or the raising of market price of fruits, vegetables and dairy products.
Information on http://www.ers.usda.gov/data-products/food-access-research-atlas.aspx./ [5] USDA, Office of Communication, Release 0191.11 (2011).

The principle behind the operation of these sensors is the reduction in luminescent intensity as a consequence of oxygen quenching of the emitting state.
These devices would have a capability for sensing and transmitting data to an external data capture system.
Moreover, other important challenges, such as development of fully engineered monitoring system requiring modules to collect the target molecules and bring them to the sensor, the nanosensor array to carry out detection, a mechanism to refresh and regenerate the nanosensor as needed, and data management capabilities to communicate any display the information as well as the sensors’ long-term stability are expected to be fulfilled.

The in-situ XRD data could predict the reaction mechanism between lithium and SnO, as indicated below. 6.4Li ＋ SnO → Li2O ＋ Li4.4Sn Li2O ＋ 4.4Li ＋ Sn (1) Concerning the in situ XRD data for the SnO2, the disappearance of SnO and the formation of Li-rich alloy were revealed as the voltage was driven to 0 V.
Therefore, the reaction mechanism of SnO2 during first cycle could be realized through the in situ XRD results as follows. 8.4Li ＋ SnO → 2Li2O ＋ Li4.4Sn 2Li2O ＋ 4.4Li ＋ Sn (2) During the first lithium insertion process, Li2O is generated with reduction of metallic Sn [17].
Data were collected over the frequency range from 10 mHz to 100 kHz.

Mineralogical and chemical characterisation of raw materials was performed using X-ray fluorescence (XRF) and X- ray diffraction (XRD), a powder data sets were obtained with a PANalytical X’Pert Pro MPDwith X'celerator diffractometer (Cu Ka radiation, 45 kV, 40 mA).The analytical range used was between 5° and 75° with a step size of 0,0080°.
The figure 8 also shows the disappearance of the calcite peaks at 1429 and 873 cm-1 [39] Fig 7: FTIR analysis for the raw materials Finally, the analysis of the FTIR spectra shows that the effect of the heat treatment was immediately manifested by significant reductions in the intensities of the bands due to adsorbed H2O.
Fripiat : Data Handbook for Clay Materials and Other Non-Metallic Minerals.
Farmer, Infrared spectroscopy: Data handbook for clay materials and other non-metallic minerals , ed. par H.

Despite this, open literature data on direct comparison of porous and composite membranes for the processes of CO2 absorption and desorption are limited, and there is no data on membrane systems using solvents with reduced MEA concentrations.
SEM data indicate that the thickness of this layer is about 3 μm.
A reduction in membrane resistance can be achieved by further reducing the thickness of thin selective layer. 4) CO2 desorption of CO2 from solvent with low MEA content (12 % wt.) in hollow fiber membrane contactors in mild temperature conditions (90 °C) without the use of stripping gas is practically possible.

As input data for solution of the inverse problem are used so-called stability parameters (the differences of molar Gibbs free energies for different phases of pure components depending on the temperature ) and experimental data as on phase equilibria, got by different researchers with use the different methods ( DTA, calorimetry, metallography, micro-X-ray spectroscopy analysis and others), so and fragmentary data on thermodynamic properties of alloys (their presence necessary to realize the unambiguous solution of the inverse problem).
Fig.5 The comparison of calculated optimized phase diagram of the Ni-Cr system with experimental data, obtained by different researchers; cit. on article [35].
The details of this procedure, experimental data on phase equilibria and thermodynamic properties, used as input data, as well as the numerical values of computable parameters for molar Gibbs free energies of FCC (γ) -, BCC (α)- and liquid phases were published in paper [35].
For comparison the calculated results [46] with experimental data follows to calculate the difference between enthalpies at T=0 K between BCC phase and α- phase of the U.
Using expert analysis of published experimental data on phase equilibria of the alloys into the ZrO2 -UO2 section of the UZr-O system [51-53] and thermodynamic data on phase transition of uranium and zirconium dioxides authors [54] have carried out optimized thermodynamic calculations of the phase diagram of the ZrO2 -UO2 system - Fig.7.

A computational simulation can also provide data on the atomic scale that are inaccessible experimentally.
This figure is based on the equilibrium structure data calculated using the VASP code.
The experimental data used stem mainly from [84, 90-92].
This figure is based on the equilibrium structure data calculated using the VASP code.
At present, they are generally fitted to experimental phase equilibrium data.