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In the first contribution, Morbiducci and co-workers discuss the theoretical and methodological bases supporting the Lagrangian- and Euler-based methods, highlighting their application to cardiovascular flows. The second contribution, by the Ansón and van Lenthe groups, proposes an automated virtual bench test for evaluating the stability of custom shoulder implants without the necessity of mechanical testing. Urdeitx and Doweidar, in the third paper, also adopt the finite element method for developing a computational model aim to study cardiac cell behavior under mechano-electric stimulation. In the fourth contribution, Ayensa-Jiménez et al. develop a methodology to approximate the multidimensional probability density function of the parametric analysis obtained developing a mathematical model of the cancer evolution. The fifth paper is oriented to the topological data analysis; the group of Cueto and Chinesta designs a predictive model capable of estimating the state of drivers using the data collected from motion sensors. In the sixth contribution, the Ohayon and Finet group uses wall shear stress-derived descriptors to study the role of recirculation in the arterial restenosis due to different malapposed and overlapping stent conditions. In the seventh contribution, the research group of Antón demonstrates that the simulation time can be reduced for cardiovascular numerical analysis considering an adequate geometry-reduction strategy applicable to truncated patient specific artery. In the eighth paper, Grasa and Calvo present a numerical model based on the finite element method for simulating extraocular muscle dynamics. The ninth paper, authored by Kahla et al., presents a mathematical mechano-pharmaco-biological model for bone remodeling. Martínez, Peña, and co-workers propose in the tenth paper a methodology to calibrate the dissection properties of aorta layer, with the aim of providing useful information for reliable numerical tools. In the eleventh contribution, Martínez-Bocanegra et al. present the structural behavior of a foot model using a detailed finite element model. The twelfth contribution is centered on the methodology to perform a finite, element-based, numerical model of a hydroxyapatite 3D printed bone scaffold. In the thirteenth paper, Talygin and Gorodkov present analytical expressions describing swirling jets for cardiovascular applications. In the fourteenth contribution, Schenkel and Halliday propose a novel non-Newtonian particle transport model for red blood cells. Finally, Zurita et al. propose a parametric numerical tool for analyzing a silicone customized 3D printable trachea-bronchial prosthesis.

Technology: general issues --- finite element analysis --- shoulder implant stability --- implant design --- reverse shoulder arthroplasty --- micromotion --- in-silico --- 3D model --- cardiac cell --- cardiac muscle tissue --- cardiomyocyte --- electrical stimulation --- copulas --- design of experiments --- glioblastoma multiforme --- mathematical modelling --- Morse theory --- topological data analysis --- machine learning --- time series --- smart driving --- fixed points --- manifolds --- divergence --- hemodynamics --- computational fluid dynamics --- overlap --- malapposition --- stent --- stenosis --- thrombosis --- radioembolization --- liver cancer --- hepatic artery --- computational cost analysis --- personalized medicine --- patient specific --- finite element method --- implicit FEM --- explicit FEM --- skeletal muscle --- biomechanics --- mathematical model --- cell dynamics --- bone physiology --- bone disorders --- aortic dissection --- delamination tests --- cohesive zone model --- porcine aorta --- vascular mechanics --- foot finite element method --- foot and ankle model --- shared nodes --- separated mesh --- plantar pressure --- finite element modelling --- bone tissue engineering --- 3D scaffold --- additive manufacturing --- potential swirling flow --- Navier–Stokes equations --- unsteady swirling flow --- tornado-like jets --- haemorheology --- blood flow modelling --- particle transport --- numerical fluid mechanics --- tracheobronchial stent --- parametric model --- 3D printing --- customized prosthesis

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In the first contribution, Morbiducci and co-workers discuss the theoretical and methodological bases supporting the Lagrangian- and Euler-based methods, highlighting their application to cardiovascular flows. The second contribution, by the Ansón and van Lenthe groups, proposes an automated virtual bench test for evaluating the stability of custom shoulder implants without the necessity of mechanical testing. Urdeitx and Doweidar, in the third paper, also adopt the finite element method for developing a computational model aim to study cardiac cell behavior under mechano-electric stimulation. In the fourth contribution, Ayensa-Jiménez et al. develop a methodology to approximate the multidimensional probability density function of the parametric analysis obtained developing a mathematical model of the cancer evolution. The fifth paper is oriented to the topological data analysis; the group of Cueto and Chinesta designs a predictive model capable of estimating the state of drivers using the data collected from motion sensors. In the sixth contribution, the Ohayon and Finet group uses wall shear stress-derived descriptors to study the role of recirculation in the arterial restenosis due to different malapposed and overlapping stent conditions. In the seventh contribution, the research group of Antón demonstrates that the simulation time can be reduced for cardiovascular numerical analysis considering an adequate geometry-reduction strategy applicable to truncated patient specific artery. In the eighth paper, Grasa and Calvo present a numerical model based on the finite element method for simulating extraocular muscle dynamics. The ninth paper, authored by Kahla et al., presents a mathematical mechano-pharmaco-biological model for bone remodeling. Martínez, Peña, and co-workers propose in the tenth paper a methodology to calibrate the dissection properties of aorta layer, with the aim of providing useful information for reliable numerical tools. In the eleventh contribution, Martínez-Bocanegra et al. present the structural behavior of a foot model using a detailed finite element model. The twelfth contribution is centered on the methodology to perform a finite, element-based, numerical model of a hydroxyapatite 3D printed bone scaffold. In the thirteenth paper, Talygin and Gorodkov present analytical expressions describing swirling jets for cardiovascular applications. In the fourteenth contribution, Schenkel and Halliday propose a novel non-Newtonian particle transport model for red blood cells. Finally, Zurita et al. propose a parametric numerical tool for analyzing a silicone customized 3D printable trachea-bronchial prosthesis.

finite element analysis --- shoulder implant stability --- implant design --- reverse shoulder arthroplasty --- micromotion --- in-silico --- 3D model --- cardiac cell --- cardiac muscle tissue --- cardiomyocyte --- electrical stimulation --- copulas --- design of experiments --- glioblastoma multiforme --- mathematical modelling --- Morse theory --- topological data analysis --- machine learning --- time series --- smart driving --- fixed points --- manifolds --- divergence --- hemodynamics --- computational fluid dynamics --- overlap --- malapposition --- stent --- stenosis --- thrombosis --- radioembolization --- liver cancer --- hepatic artery --- computational cost analysis --- personalized medicine --- patient specific --- finite element method --- implicit FEM --- explicit FEM --- skeletal muscle --- biomechanics --- mathematical model --- cell dynamics --- bone physiology --- bone disorders --- aortic dissection --- delamination tests --- cohesive zone model --- porcine aorta --- vascular mechanics --- foot finite element method --- foot and ankle model --- shared nodes --- separated mesh --- plantar pressure --- finite element modelling --- bone tissue engineering --- 3D scaffold --- additive manufacturing --- potential swirling flow --- Navier–Stokes equations --- unsteady swirling flow --- tornado-like jets --- haemorheology --- blood flow modelling --- particle transport --- numerical fluid mechanics --- tracheobronchial stent --- parametric model --- 3D printing --- customized prosthesis

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The book covers different aspects: - Innovative technologies for tactile sensors development - Tactile data interpretation for control purposes - Alternative sensing technologies - Multi-sensor systems for grasping and manipulation - Sensing solutions for impaired people

distributed force/tactile sensing --- dexterous manipulation --- sensor calibration --- contact modelling --- force and tactile sensing --- grasping and manipulation --- grasp planning --- object features recognition --- robot hand-arm system --- robot tactile systems --- sensor fusion --- slipping detection and avoidance --- stiffness measurement --- soft tactile sensing system --- localization and object detecting --- three-axis accelerometer --- in-hand manipulation --- pose estimation --- machine learning --- fuzzy control --- underactuated robotic hands --- ferromagnetic powder --- soft material --- tactile sensor --- magnetic field orientation --- force sensing --- force sensor --- tactile sensing --- linear regression --- hysteresis compensation --- contact location in tactile sensor --- soft tactile sensors --- deformable continuous force transfer medium --- array of discrete tactile sensors --- soft robotics --- robotic hand and gripper --- haptic telepresence --- braille device --- braille application --- visually impaired people --- tactile perception --- robotic palpation --- underactuated grippers --- deep learning --- sensorised fingers --- tactile sensors --- parametric model --- robotic fingers --- prosthetic fingers --- hand prostheses --- anthropomorphic robotic hands --- vibrissa --- bio-inspired sensor --- contour scanning --- multi-point contact --- actuator --- deafblind communication --- tactile display --- n/a

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In the first contribution, Morbiducci and co-workers discuss the theoretical and methodological bases supporting the Lagrangian- and Euler-based methods, highlighting their application to cardiovascular flows. The second contribution, by the Ansón and van Lenthe groups, proposes an automated virtual bench test for evaluating the stability of custom shoulder implants without the necessity of mechanical testing. Urdeitx and Doweidar, in the third paper, also adopt the finite element method for developing a computational model aim to study cardiac cell behavior under mechano-electric stimulation. In the fourth contribution, Ayensa-Jiménez et al. develop a methodology to approximate the multidimensional probability density function of the parametric analysis obtained developing a mathematical model of the cancer evolution. The fifth paper is oriented to the topological data analysis; the group of Cueto and Chinesta designs a predictive model capable of estimating the state of drivers using the data collected from motion sensors. In the sixth contribution, the Ohayon and Finet group uses wall shear stress-derived descriptors to study the role of recirculation in the arterial restenosis due to different malapposed and overlapping stent conditions. In the seventh contribution, the research group of Antón demonstrates that the simulation time can be reduced for cardiovascular numerical analysis considering an adequate geometry-reduction strategy applicable to truncated patient specific artery. In the eighth paper, Grasa and Calvo present a numerical model based on the finite element method for simulating extraocular muscle dynamics. The ninth paper, authored by Kahla et al., presents a mathematical mechano-pharmaco-biological model for bone remodeling. Martínez, Peña, and co-workers propose in the tenth paper a methodology to calibrate the dissection properties of aorta layer, with the aim of providing useful information for reliable numerical tools. In the eleventh contribution, Martínez-Bocanegra et al. present the structural behavior of a foot model using a detailed finite element model. The twelfth contribution is centered on the methodology to perform a finite, element-based, numerical model of a hydroxyapatite 3D printed bone scaffold. In the thirteenth paper, Talygin and Gorodkov present analytical expressions describing swirling jets for cardiovascular applications. In the fourteenth contribution, Schenkel and Halliday propose a novel non-Newtonian particle transport model for red blood cells. Finally, Zurita et al. propose a parametric numerical tool for analyzing a silicone customized 3D printable trachea-bronchial prosthesis.

Technology: general issues --- finite element analysis --- shoulder implant stability --- implant design --- reverse shoulder arthroplasty --- micromotion --- in-silico --- 3D model --- cardiac cell --- cardiac muscle tissue --- cardiomyocyte --- electrical stimulation --- copulas --- design of experiments --- glioblastoma multiforme --- mathematical modelling --- Morse theory --- topological data analysis --- machine learning --- time series --- smart driving --- fixed points --- manifolds --- divergence --- hemodynamics --- computational fluid dynamics --- overlap --- malapposition --- stent --- stenosis --- thrombosis --- radioembolization --- liver cancer --- hepatic artery --- computational cost analysis --- personalized medicine --- patient specific --- finite element method --- implicit FEM --- explicit FEM --- skeletal muscle --- biomechanics --- mathematical model --- cell dynamics --- bone physiology --- bone disorders --- aortic dissection --- delamination tests --- cohesive zone model --- porcine aorta --- vascular mechanics --- foot finite element method --- foot and ankle model --- shared nodes --- separated mesh --- plantar pressure --- finite element modelling --- bone tissue engineering --- 3D scaffold --- additive manufacturing --- potential swirling flow --- Navier–Stokes equations --- unsteady swirling flow --- tornado-like jets --- haemorheology --- blood flow modelling --- particle transport --- numerical fluid mechanics --- tracheobronchial stent --- parametric model --- 3D printing --- customized prosthesis

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The modeling of stochastic dependence is fundamental for understanding random systems evolving in time. When measured through linear correlation, many of these systems exhibit a slow correlation decay--a phenomenon often referred to as long-memory or long-range dependence. An example of this is the absolute returns of equity data in finance. Selfsimilar stochastic processes (particularly fractional Brownian motion) have long been postulated as a means to model this behavior, and the concept of selfsimilarity for a stochastic process is now proving to be extraordinarily useful. Selfsimilarity translates into the equality in distribution between the process under a linear time change and the same process properly scaled in space, a simple scaling property that yields a remarkably rich theory with far-flung applications. After a short historical overview, this book describes the current state of knowledge about selfsimilar processes and their applications. Concepts, definitions and basic properties are emphasized, giving the reader a road map of the realm of selfsimilarity that allows for further exploration. Such topics as noncentral limit theory, long-range dependence, and operator selfsimilarity are covered alongside statistical estimation, simulation, sample path properties, and stochastic differential equations driven by selfsimilar processes. Numerous references point the reader to current applications. Though the text uses the mathematical language of the theory of stochastic processes, researchers and end-users from such diverse fields as mathematics, physics, biology, telecommunications, finance, econometrics, and environmental science will find it an ideal entry point for studying the already extensive theory and applications of selfsimilarity.

Self-similar processes. --- Distribution (Probability theory) --- Processus autosimilaires --- Distribution (Théorie des probabilités) --- 519.218 --- Self-similar processes --- 519.24 --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Selfsimilar processes --- Stochastic processes --- Special stochastic processes --- 519.218 Special stochastic processes --- Distribution (Théorie des probabilités) --- Almost surely. --- Approximation. --- Asymptotic analysis. --- Autocorrelation. --- Autoregressive conditional heteroskedasticity. --- Autoregressive–moving-average model. --- Availability. --- Benoit Mandelbrot. --- Brownian motion. --- Central limit theorem. --- Change of variables. --- Computational problem. --- Confidence interval. --- Correlogram. --- Covariance matrix. --- Data analysis. --- Data set. --- Determination. --- Fixed point (mathematics). --- Foreign exchange market. --- Fractional Brownian motion. --- Function (mathematics). --- Gaussian process. --- Heavy-tailed distribution. --- Heuristic method. --- High frequency. --- Inference. --- Infimum and supremum. --- Instance (computer science). --- Internet traffic. --- Joint probability distribution. --- Likelihood function. --- Limit (mathematics). --- Linear regression. --- Log–log plot. --- Marginal distribution. --- Mathematica. --- Mathematical finance. --- Mathematics. --- Methodology. --- Mixture model. --- Model selection. --- Normal distribution. --- Parametric model. --- Power law. --- Probability theory. --- Publication. --- Random variable. --- Regime. --- Renormalization. --- Result. --- Riemann sum. --- Self-similar process. --- Self-similarity. --- Simulation. --- Smoothness. --- Spectral density. --- Square root. --- Stable distribution. --- Stable process. --- Stationary process. --- Stationary sequence. --- Statistical inference. --- Statistical physics. --- Statistics. --- Stochastic calculus. --- Stochastic process. --- Technology. --- Telecommunication. --- Textbook. --- Theorem. --- Time series. --- Variance. --- Wavelet. --- Website.