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After 28 days age, the samples were tested serially for the respective properties. 3.2 Data Compilation, Data Analysis, Results and Discussion For the strength calculations, maximum loads reached for both bending and tensile tests were recorded by reading directly from the machine.
The sisal fibers absorbs much water which is added during mixing, which in turn results in the reduction of water-cement ratio (W/C), which is a major factor affecting the concrete strength.

Diffraction data were collected for 1 s at each 0.02 ° step width over 2θ, varying from 10 ° to 90 °.
Experimental data was recorded at 25 ℃ by employing an EG&G model 273A potentiostat, utilizing a reference saturated calomel electrode (SCE) and a counter electrode of Pt wire.
The reduction in SC with an increasing scan rate (Fig.5) can be attributed to the electrolyte diffusion limitations in pores.

Although the data are limited, it is clearly shown that ~80% of the nuclei (defined as >1µm) have formed by the time that the material is 10% recrystallized, which approximates to site saturation.
A good example of this is found in low carbon steels [6,7], where, after moderate rolling reductions, recrystallization nucleation begins in grains with near γ-fibre orientations.
(a) (b) (c) (d) Figure 3. 111 pole figures of EBSD data from {110}<001> Al-0.6%Si crystals deformed in channel die plane strain compression.

Following the removal of the tool in the S-rail test simulations, the springback angles of the produced sample were predicted and then compared with the experimental data as shown in Figure 9.
(b) displays the experimental data that best suit the predictions made by the FE simulations.
Ohtani, Numerical optimization of variable blank holder force trajectory and blank shape for twist springback reduction using sequential approximate optimization, Int.

That is accomplished by using experimental data that link the transformation temperatures of solutionized SMAs with their composition.
However, in the latter work linear relations were used to correlate the transformation temperatures of the material with its composition due to limited availability of experimental data.
Hence due to these phenomena, the developed micromechanical model was able to predict a reduction of 20-30% on the transformation strain, in comparison to the solutionized response, for this particular case where the volume fraction of precipitates was estimated to be 10%.

From the lattice volume and total energy function (lowest value of the parabolic energy-volume curves are illustrated in Figure 2) the equilibrium volume was shown to be 2% lower than the experimental data.
The optimized lattice parameters exhibit a slight volume reduction (~2%) compared to experimental values, indicating good agreement with observed data.

The datas were collected with a computer, at a scanning speed of 0.050/sec interfaced through the diffractometer.
Datas were recorded in 2θ range of 2°–10° at the scan rate of 2°/min.
Water transport properties – Fig. 5 depicts the data of water concentration versus time for the UPE/Graphite nano composite with different concentration of nano filler.
This reduction of water transport activity may be due to the improved filler matrix interaction that prevents the swelling of the composite and easy penetration of water molecule.

The four-hour duration of the experiment was chosen by us on the basis of literature [18] and own data on the study of the kinetics of sorption of a number of acids by active carbon [19].
The data are presented in Table 1.
Desulfurization sorbents for green and clean coal utilization and downstream toxics reduction: A review and perspectives.

There are existing treatments to address nitrate removal including reverse osmosis, ion-exchange, electrochemical reduction, biological denitrification, however these have seral disadvantage such as process complexity, costly, and generation of sludge that are harmful to the environment [3, 4].
The data was linearized based on 4 isotherm models such as Langmuir, Freundlich, Dubinin-Radushkavich, and Temkin [11].
The data obtained was plotted using various kinetic adsorption model including Largergen pseudo-first-order (PFO), pseudo-second-order (PSO), Elovich and Intra Particle Diffusion (IPD).

National data fall short of controlling and monitoring resource flow change in agriculture.
The data acquisition for the material flow determination was done through analysing invoices of products and by-products bought and sold by the entities of the agricultural complex.
Eco-efficiency improvement is possible through promotion of rational use of resources, as well as reduction of emissions and waste.