Red values. and also the normal typical illustrate are noticeably modest, close thezero, and indicate a low uncertainty of the measurements. noticeably tiny, close to to PF-06873600 In Vitro measured values. The values of the standard deviation are zero, Figure five presents the third-degreethe measurements. and indicate a low uncertainty of polynomial regression function, which ideal fits the Figure 5 presents the third-degree polynomial the evolution of the measured values, obtained benefits at inflation. The red line represents regression function, which most effective fits the obtained benefits at inflation. the rangeline represents the evolution of the measured along with the colored zone represents The red of self-confidence. values, along with the colored zone represents the selection of self-assurance.Figure five. Polynomial regression curve: inflation. Figure five. Polynomial regression curve: inflation.The polynomial regression that most effective fits the measured values for inflation is one of a fits measured values for inflation is amongst the polynomial regression a third degree,as noticed in Equation (1): third degree, as observed in Equation (1):= 0.096 0.079 0.718p – 0.053 lin f lation = 0.096 0.079p 0.7182 – 0.053p(1) (1)Appl. Sci. 2021, 11,The parameters in the regression were found applying a specialized software program, the Curve The parameters of the regression have been found making use of a specialized software, the Curve Expert Qualified v. two.7, and based on the measured values. The correlation coefficient Professional Qualified v. two.7, and depending on the measured values. The correlation coefficient (r) (r) is 0.999 plus the coefficient of Ethyl Vanillate Biological Activity determination (r2) is 0.998. These values validate the funcis 0.999 along with the coefficient of determination (r2 ) is 0.998. Those values validate the function. 9 of 18 tion. In Figure 6, the polynomial regression is presented, which best fits the obtained benefits In Figure 6, the polynomial regression is presented, which very best fits the obtained reat deflation. sults at deflation.Figure six. Polynomial regression: deflation. Figure 6. Polynomial regression: deflation.The polynomial regression that ideal fits the measured values deflation is, according The polynomial regression that ideal fits the measured values at at deflation is, in accordance with Curve Specialist Experienced v. 2.7 computer software: to Curve Professional Qualified v. two.7 application: = 0.296 0.684 1.005 – 0.118 (2) lde f lation = 0.296 0.684p 1.005p2 – 0.118p3 (two) The correlation coefficient (r) is 0.999 and the coefficient of determination (r2) is 0.998. These values confirm that this function describes the evolution of axial contraction versus pressure at deflation with higher fidelity.Appl. Sci. 2021, 11,9 ofThe correlation coefficient (r) is 0.999 along with the coefficient of determination (r2 ) is 0.998. These values confirm that this function describes the evolution of axial contraction versus stress at deflation with high fidelity. 3.1.2. Evaluation of Hysteresis for the Case of a 2.55 kg Load Applied For the scenario of a mass of 2.55 kg load applied for the free finish of your muscle, the measurement information are presented in Table 4 and Figure 7.Table 4. Muscle axial contraction for a 2.55 kg external load. Stress [bar] 0 0.five 1 1.five 2 2.5 three 3.5 4 four.5 5 5.five Length [mm] 1 0 0.2 0.9 1.five two.3 three.4 5 6.9 eight.3 9.6 11.5 12.four 2 0 0.three 1.1 1.6 two.five three.five 5.1 7 8.five 9.7 11.eight 12.six 14.8 14.7 13.7 12.5 ten.eight 9.3 7.five five.8 four 4.four two.72.five 1.71.eight 1 0.8 0.10.2 three 0 0.4 1.2 1.four two.four 3.six 5.2 7.1 eight.4 9.five 11.7 12.three 14.9 14.4 13.five 12.three ten.8 9.four 7.6 5.six four.4 four.2 two.7 2.8 1.7 1.