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Brown coconut water was used as the medium in terms of production cost reduction.
All tests were performed for at least five specimens and the data was taken into account of the average values.
The PLA/KF specimen showed 17% decrease comparing to 11% reduction of PLA/KF/BC sample.
The reduction in intensity of tan delta was consistent with the rising of fiber contents.
The weight loss of KF and BC (data not shown) began to reduce at around 270°C consistent with degradation temperature.

The simulated results show that the constructed model is well correlated to measured data.
A lot of input data are defined during the engine model construction.
The data show a very well agreement as listed in Table 2.
Table 2: Actual test data of CDA operation compared to simulated model.
The model has been well correlated with measured data.

Both force and displacement data are recorded in z-direction.
The displacement data is adjusted with a correction curve that compensates for the stiffness of the universal testing machine and the upsetting tool.
A further reduction to λ = 0.1 does not lead to a continued decrease in the flow stress.
For AA7075-T6, only at λ = 0.1 is there a slight reduction of 3% in the onset of yielding, which corresponds to the reduction of the yield stress level in the flow curve.
The reduction of the yield stress level correlates with the grain size of the materials.

Frequent itemset mining leads to the discovery of associations and correlations among items in large data sets.
Class Association Rules Mining In the proposed algorithm, each rule’s antecedences are features of the data set D while its consequences are class attributes.
Output: The selected feature subset F of the data set D.
The 10 real data sets come from UCI machine learning repository[5],which have various dimensional feature numbers various from7to34, including different attribute types(Boolean, numeric, nominal, etc.).Some data sets contain missing values.
This algorithm can offer an available preprocess technique for pattern recognition, machine learning and data mining.

The quality index of the Kikuchi patterns (EBSD data) is used to qualitatively evaluate the stored energy for each grain.
Modelling details Recrystallization Monte Carlo simulation have been done from EBSD data performed on cold rolled IF-Ti (R = 40 %) on a Zeiss 940 scanning electron microscope (SEM).
Fig. 1a and 1b show the calculated ODF from the experimental EBSD data: the deformed state (initial microstructure for the calculation) and the recrystallized one.
Fig. 1d, e and f represent the calculated ODF from the simulated Monte Carlo data with the different proposed mechanisms RN, HMHE and HMLE.
The best agreement with the experimental EBSD data is obtained for the nucleation mechanism in the low stored energy sites with high misorientation with respect to the neighbours.

Based on the research work about the result of organic fertilizer from algae paste, the internal pollution load reductions of COD, NH4-N and available phosphorus were estimated as 13163.04t, 1018.91t and 146.26t, respectively, in 2012.
According to meteorological data, the perennial prevailing wind direction of Xinyun Lake is south-west wind.
Analysis of the benefits for utilization of organic fertilizer from algae According to the statistical data, the population of Xingyun lake basin is 190,000 people, among which agricultural population is 170,000 people.
As for the reductions of COD, TN and TP through collection and remove algae, the environmental benefit was very significant.
As for the reduction chemical fertilizers fertilization to the cultivated land, the environmental benefit was very significant through collection and remove algae and using as organic fertilizer after anaerobic fermentation.

Challenges in AI-Driven Optimization Despite its advantages, AI-driven optimization for nano-EOR faces several challenges: · Data Accuracy Limitations: AI models require high-quality training datasets for accurate predictions.
However, the variability in reservoir properties and incomplete data from field trials can reduce predictive accuracy
The data shows that a CNT concentration of 0.5 wt% leads to an 18% increase in recovery, while an optimal graphene concentration of 800 ppm results in a 22% recovery improvement.
· Availability of Data and Materials: Not applicable.
The author was responsible for data analysis, manuscript preparation, and ensuring the integration of key findings.

Data of scale deformation from Figure 2 verify the deformability of both primary and secondary oxide scales.
Nevertheless, secondary scale proves to be more readily to deformation than primary scale from 900 to 1025 o C under lubrication condition by comparison the two sets of data for primary and secondary scales, showing its potential of plasticity.
The lower the deformation temperature, the smaller scale reduction can be achieved with increasing bulk materials reduction.
The magnitude of scale reduction becomes smaller with a heavier reductions than at a smaller bulk materials reduction when the deformation is carried out below a certain temperature.
It is not difficult to infer from the above experimental data that deformation of oxide scale is more sensitive to rolling temperature and lubrication rather than to magnitude of rolling speeds when rolling is carried out under a given reduction.

Compared to this reference approach, a makespan reduction and a setup time reduction can be observed.
Future research will focus on expanding the model and verifying its applicability on a larger data-set.
The proposed approach results in both a makespan reduction and a reduction in the number of setups.
For this mathematical model, good results can be obtained as far as makespan reduction, setup time reduction and reduction of the number of toolchanges is concerned.
On average a makespan reduction of 6% is observed.

The Avrami exponent data indicate the occurrence of an unidimensional grain growth due only to high angle boundaries migration, with values ranging between 0.9 and 1.2.
The EBSD data were processed by Orientation Image Microscopy (OIM)™ from the commercial software developed by EDAX Inc.
Vickers Microhardness The softening kinetics was studied through Vickers microhardness measurements for both series, in which the data analysis shows that the softening process proceeds as the annealing time and temperature increase (Fig. 2).
This step is characterized by the reduction of grain boundary energy through their growth [5].
Recrystallization Kinetics The Avrami expoent data indicate the occurrence of an unidimensional grain growth due only to high angle boudaries migration, with values ranging between 0.9 and 1.2.