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According to the literature, the Taguchi statistical method allows to enhance and/or improve products and processes’ performance, leading to a significant reduction in time and cost when implementing a new experiment [24 and 25].
An orthogonal array (OA) data matrix, defined by the Taguchi method, was implemented using Minitab 15 software.
Based on these data, a Taguchi analysis was carried out using three factors, three levels and three replications that have produced the parameters shown in Fig. 3.

It was observed that curing at elevated temperatures improves microstructure of the RPC resulting in denser material with porosity reduction as high as 20%.
It should be noted, however, that increasing quantity of the data points can significantly improve the research. 3) RPC has a dense particle packing and improved microstructure which is proved by the low mean volume of voids, about 2 times lower than of an ordinary concrete.
However, the results presented in the paper are based on limited test data points.

Parameter Typical composition of raw municipal wastewater* Range Wastewater type Reference Considered range in the current study High Medium Low COD total 1,200 750 500 400-2000 Chemical WW [15] 300 – 1,200** 300-2200 Synthetic WW [16] 79-563 Urban WW [16] 615- 46,180 Industrial WW [16] N total 100 60 30 10- 60 Chemical WW [15] - 40-630 Synthetic WW [16] 25-91 Urban WW [16] 15-4,455 Industrial WW [16] Ammonia-N 75 45 20 500** Synthetic WW [17] 20-150 150-1,300*** Synthetic WW [18] Nitrite + Nitrate-N 0.5 0.2 0.1 50*** Synthetic WW [17] 0 -50 150-1,450*** Synthetic WW [17] 270**** Synthetic WW [19] Organic-N 25 10 15 - - - - TKN 100 60 30 60-630 Synthetic WW [16] - OHO - - - 30 Domestic WW [11] 0-50 ANO - - - 0 Domestic WW [11] - DO - - - 2-8 Chemical WW [15] 0-10 3-8 Domestic WW [20] *with minor contributions of industrial wastewater [14] **readily biodegradable COD represents about 46% of the COD total for the WW considered in this study ***as Nitrite-N ****as Nitrate-N Modeling Data
and Technique Data required for ASM3 implementation were collected from the Western 6th of October municipal-industrial wastewater treatment plant (WWTP), Giza, Egypt.
Moreover, better reduction in the SNHx,eff concentration is noticed as the initial SO2 concentration is increased.

The main objective is the reduction of energy imports.
The utilized load curves consist of representative data, trying to discuss extremal load combinations that could take place at a production site, which uses local renewable energy sources.
This library uses historical hourly weather data of the German weather service (DWD [13]) for the location of the production site to consider the fluctuation of the weather depended generation technologies.

This improvement can be attributed to the reduction in porosity, which arises from the chemical reaction between PVA and cement [10].
The instrumentation used is a strain gauge, Linear Variable Displacement Transducer (LVDT), load cell of 200 kN capacity, and data logger.
Panel Load cell Data logger Distributed beam LVDT Fig. 3.

Nitrate nitrogen, ammonic nitrogen and nitrite nitrogen were measured with the cadmium-copper reduction method, the indophenol blue method [27], and the Griess-Ilosvay method [28], respectively.
Data analysis Differences in concentrations of environmental parameters among different cruises were tested by the analysis of variance (one-way ANOVA), using SPSS 11.5.
The data of DO, organic carbon and COD proved that U. prolifera sank and decomposed in Rushan.

This test is carried out to support the comparison of the density value with the technical data of the variation of straw-epoxy hydrophobic composites.
If the composite receives a load, the stress area will move to the void area which results in a reduction in the strength of the composite [19].
The graph also obtained data that in each volume fraction variable the higher concentration of NaOH and the duration of immersion, so the resulting density value will also be higher.

Rheological analysis: before the experiment, the slices were placed in the oven and dried at 110℃ for 8 hours, the die diameter was 1.0mm, the length diameter ratio (L/D) was 16:1, the temperature range was 270℃~290℃, a set of rheological data was carried out every 5℃, and the shear rate range was 50~10000s-1.
Table 1 Industrial trial production data of chips sample polyconden-sation load (t/d) IV (dL«g-1) -COOH (mol/t) AA (μg«g-1) colour molecular weight L a b Mn (g/mol) Mw (g/mol) PDI Mw/Mn Antimony polyester Melt 80 0.656 26.1 91.0 83.7 -2.88 -2.69 10144 24856 2.30 Melt+SSP 0.797 16.3 0.71 87.3 -2.87 -1.63 17015 36248 2.05 TMPC polyester Melt 78 0.665 13.6 84.1 76.8 -2.46 -6.02 10779 25592 2.52 Melt+SSP 0.803 8.00 0.52 82.5 -3.21 -2.2 17681 36967 2.17 Table 1 shows that the number average and weight average molecular weight of titanium catalyst synthetic chips are larger than that of antimony bottle chips, indicating that titanium catalyst has high activity and is easy to form macromolecular chains[24].
Therefore, the injection temperature, injection pressure and injection time are lower than those of antimony polyester, which is conducive to energy saving and consumption reduction in the processing process.

With a reduction of the flexural strength to 19 % of the maximum value, this trend is particularly noticeable with a five-fold exposure.
[13] MatWeb: Material Property Data of Aluminum, Al, 2022, http://www.matweb.com/search/ datasheet.aspx?
[14] MatWeb: Material Property Data of Titanium, Ti, 2022, http://www.matweb.com/search/ DataSheet.aspx?

Further analyses were then performed on the XRD data to obtain the lattice constants, crystallite size, and XRD density ρx using the standard relations as described elsewhere [11].
From the slope of the Arrhenius plot, activation energy data was obtained [13].Magnetic measurements were made using a commercial vibrating sample magnetometer (VSM) model, BHV50, Riken Denshi Co.
XRD data was also used to calculate various characteristics of the prepared nanoferrites such as lattice constant (a), average crystallite size (t (ave)), volume of the cell (V), x ray density (ρx), and porosity (P) using standard relationships as discussed elsewhere [11,14].
From the slope of the Arrhenius plot, activation energy data was obtained [13]: ρT=ρoexp∆EKbT (1) Where rT is electrical resistivity at a particular temperature T and ro is the resistivity at room temperature, kb (8.616 eV/K) is the Boltzmann constant, T is the absolute temperature and DE is the activation energy.
So, the Ms for the investigated samples can be attributed to the decrease in the concentration of Fe3+cations at (B) sites to produce a reduction in the number of magnetic Fe3+(A)–O2–Fe3+ [B] linkages.