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Titlebook: Nonlinear Dynamics and Complexity; Mathematical Modelli Carla M.A. Pinto Book 2022 The Editor(s) (if applicable) and The Author(s), under e

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Yawen Xue,Jun Jiang,Ling Hong contact with tissues and blood. The urge to compile this book arose from the fact that it is the properties of the material which ultimatively seem to determine the functional outcome of a medical device, almost regardless of how ingenious the construction of the very device is. The longer the expo
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Yeyin Xu,Wu Ying contact with tissues and blood. The urge to compile this book arose from the fact that it is the properties of the material which ultimatively seem to determine the functional outcome of a medical device, almost regardless of how ingenious the construction of the very device is. The longer the expo
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Jiazhong Zhang,Yan Liu,Wei Wang,Ruidong Jia,Nannan Dang,Zhiyu Chen contact with tissues and blood. The urge to compile this book arose from the fact that it is the properties of the material which ultimatively seem to determine the functional outcome of a medical device, almost regardless of how ingenious the construction of the very device is. The longer the expo
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Shiva Eshaghi,Yadollah Ordokhani contact with tissues and blood. The urge to compile this book arose from the fact that it is the properties of the material which ultimatively seem to determine the functional outcome of a medical device, almost regardless of how ingenious the construction of the very device is. The longer the expo
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Analysis of the Temporal Evolution of Plumeria Bud by Measuring Its Complex Impedance: Detection oftrate that seemingly nondeterministic quasi-chaotic variations in measured complex impedance can be accurately (with fitting error less than 0.25%) modelled, by the proposed fitting formula with new fractal elements having complex conjugated power law of exponents. While studying the impedance chara
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,A Computational Probabilistic Calibration of the Pielou’s Model to Study the Growth of Breast Tumorhe calibrations, we get feasible model parameter values that, substituted into the model, may reproduce the data uncertainty. To check the quality of the PC technique, it is compared to a similar one that takes advantage of the fact that the random model utilized has a closed-form solution stochasti
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,Invariant Manifolds in the Second-Order Maxwell–Bloch Equations,tem is contained in this manifold. We use a modified graph transform method to prove the existence of this manifold and a cone condition to define the graph transform. The fact that the Maxwell–Bloch and the modified general Maxwell–Bloch equations have the same asymptotic behavior suggests a justif
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