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Medical imaging technologies are typically used to gather implant site external geometric data.
Collected data can then be used to design the custom scaffold structure.
The height of each loading block was set as 40% of the total height of the scaffold in order to provide uniform stress accommodation at the loading block-scaffold interface and hence reduction of end-effects [26].
Accordingly to the data known from previous work, the Young's modulus value was set to 18.3 GPa, the material density to 1810 kg/m3, and Poisson's ratio to 0.28 [27, 28].

Several models were used to obtain the regression equation for each response and it was also used to find out the correlation of the experimental data.
Hence, it was suggested as a model for all responses because it has been proved that it is what fits most to experimental data with the lowest standard deviation and P value, highest correlation coefficient, adjusted R2, predicted R2 values.
R2 of (TSS, turbidity, and COD removals) have been 0.994,0.983, and 0.973 respectively, so it is very close to R2 for each response equation then the predication of experimental data is considered to be satisfactory.
The COD reduction in alkalinity (pH more than the optimum value ) because there is increase of Al(OH)3-PAM complexes that start to form because the formation of aluminum hydroxide precipitates at alkalinity and any increase in Al3+ ion or OH- ion makes the solubility constant of the aluminum hydroxide increase too.

Experimental Study on Specimens of Steel Secondary Beam Embedded in Reinforced Concrete Girder of Frame Structure Qiong Yua, Zhoudao Lub, Jiangtao Yuc, Xingzhuang Zhaodand Jin Daie Institute of Structural Engineering and Disaster Reduction, Tongji University, Shanghai 200092, China ayiongyu2005@163.com, blzd@tongji.edu.cn, cyujiangtao@tongji.edu.cn, dzxz_342@163.com, edaijin_2008@qq.com Key words: Superposition of shear and torsion, Rotational angle, Embedded coefficient, Pullout failure, Joint failure.
The strain data of specimen-900 is invalid as something wrong happened to the data collect system.
Evaluation for computerized data acquisition system used in static uniaxial testing machine

Data collection and analysis were performed by a computer equipped with Texture Expert® software.
a Data are the average of 10 units.
The more gum in matrices, the greater degree of gum hydrates with simultaneous swelling, resulting in the lengthening of the drug diffusion pathway and the reduction in drug release rate.
The release data of drug from tablets was fitted to the following equation [24] in order to propose the possible drug release mechanism

Therefore, promoting the economical efficiency and reliability of the operation of the power transformer is significant for the safe and reliable operation and the reduction of operation cost of the whole power system [1].
Besides, according to the overload capability calculation model, the permitted overload operation time of the transformer has been calculated under the circumstance of different environmental temperature and initial load condition by the temperature rise data of large scale power transformer by Zhejiang University [16-18].
Table 1 Transformer Parameters Transformer S[MVA] P0[kW] Pk1[kW] Pk2[kW] Pk3[kW] A 20 30 86.8 38.5 31.7 B 31.5 38 73.9 48.7 61.5 The statistical data of the transformer load (based on the primary side) in 24 hours at July of some year is shown in Figure 3 with the maximum load =35.754MVA.
The 24-hour temperature data of this month is shown in Figure 6.

Synergistic Effects of Hybridization: The synergistic effect between Cu NPs and CNTs takes advantage of CNTs' electrical conductivity and the metal's catalytic or reactive characteristics to enhance the reduction or oxidation of heavy metal ions during adsorption.
That is why fitting the data to the pseudo-second-order and intra-particle diffusion models is crucial for identifying the adsorption mechanism.
There are limited studies on MOFs with competing ions; more data is needed for real-world wastewater. [69] Arsenic Removal.
Phosphate Moderate to high interference, reducing efficiency High interference due to a similar structure Metal oxides, carbon-based composites 40-60% reduction in efficiency [80, 81] Silicate Mild to moderate impact at higher pH levels Moderate impact, less than phosphate Metal oxides, especially iron-based 20-30% reduction in efficiency [82] Sulfate Low to moderate impact at specific pH ranges Lower impact than phosphate and silicate MNPs, metal-organic frameworks Minor, up to 10-20% reduction [83] Copper nanoparticles, or Cu NPs, are one of the most efficient nanomaterials for removing arsenic.

Stop Start Data analysis Measurement and data collecting Testing Assembly and Real-time Simulation Circuit Design SPICE Simulation Literature Research Fig. 1.
The program loops through this process, continuously reading, converting, and displaying new data.
Tab. 6. below is data from filter testing results by converting the output voltage value to dBV.
The data represents how capacitance changes with variations in these physical parameters.
To enhance the data set and improve the analysis, the program uses linear interpolation to generate 1,000 additional data points for each parameter, evenly distributed between the minimum and maximum values of z.

This drop in voltage stems from the resistance reduction caused by the steel melting.

This work presents some new experimental data during osmotic dehydration of fruits.
In this kind of models, experimental data of both main fluxes, water leaving and osmotic solutes entering the material, are fitted to mathematical equations to obtain some mass transfer coefficients.
Other models have less fundamental meaning, such as the application of Weibull probabilistic models to osmotic dehydration data [20], or the use of response surface methodology, by fitting experimen-tal data to non-linear functions, mostly polynomials relating process conditions with water lost or solids gained by the material [21,22].
The water and osmotic solutes transport rates estimated from dehydration data represents an overall mass transport property in the material, which may include several possible mass transfer mechanisms.
Parameter k (h-1) R2 ARD (%) L* 0.38 0.18 1.68 a* 0.39 0.87 6.96 b* 0.43 0.79 2.91 DE* 0.44 0.64 24.95 h* 0.42 0.78 0.70 C* 0.412 0.84 2.94 Experimental data were fitted to Eq. (4) and the rate constant for each colour parameter was obtained.

Load and displacement data were continuously recorded.
Specifically, the data for 400 MPa applied stress shows a rapid increase from approximately -284 MPa at 1,000 cycles to 37 MPa after roughly 30,000 cycles.
The data points illustrate this inverse relationship: for example, a stress amplitude of 483 MPa resulted in fewer cycles compared to 240 MPa, which sustained a significantly higher number of cycles.
In this case, a less defined trend and greater data dispersion were observed, which could suggest inherent variations in material behavior or in the experimental setup used.
RS-1 shows a progressive increase in stress, whereas RS-5 starts with negative values and has fewer available data points, suggesting higher variability or potential premature failures.