107 results on '"Dercole, Fabio"'
Search Results
102. CHAPTER 12: DYNAMICAL SYSTEMS AND THEIR BIFURCATIONS: 12.7 ROUTES TO CHAOS.
- Author
-
Dercole, Fabio and Rinaldi, Sergio
- Published
- 2011
103. CHAPTER 12: DYNAMICAL SYSTEMS AND THEIR BIFURCATIONS: 12.2 STRUCTURAL STABILITY.
- Author
-
Dercole, Fabio and Rinaldi, Sergio
- Published
- 2011
104. Escenarios de ramificaciones evolutivas en el marco de las dinámicas adaptativas: Teoría y aplicaciones al cambio tecnológico
- Author
-
Toro-Zapata, Hernán Darío, Olivar-Tost, Gerard, Dercole, Fabio, and Abc Dynamics
- Subjects
602 - Miscelánea [600 - Tecnología (Ciencias aplicadas)] ,Dinámicas adaptativas ,Scientific development ,Public transportation ,Simulación de modelos ,Diversificación del mercado ,Technological Change ,Dynamic systems ,Simulation modeling ,Market diversification ,Coffee berry borer ,Mercado energético ,Transporte público ,Desarrollo científico ,Ramificación evolutiva ,Energy market ,Cambio tecnológico ,Mercado del café ,Broca del café ,Evolutionary branching ,Coffee market ,Adaptive dynamics ,Sistemas dinámicos - Abstract
gráficos In this thesis, we have reviewed the theory of Adaptive Dynamics, a theoretical background originated in evolutionary biology linking demographic dynamics to evolutionary changes, allowing it to describe evolutionary dynamics in the long-term when considering innovations as small and rare events in the market time scale. From this perspective, three mathematical models have been formulated to describe evolutionary branching: the coexistence between resident and similar innovative technologies and their further divergence in the evolutionary space. The first model addresses the problem of determining conditions on the energy market diversification from adaptive dynamics and the impact the imposition/allocation of taxes/subsidies may have on controlling market diversification. The second model explores the Coffee Berry Borer (Hypothenemus hampei) and its role in the evolutionary diversification of the coffee market; the influence that consumer's preference and control practices have on diversification is studied in detail, and correspond to the main source of insights. Finally, the third model in the fifth chapter, describes the competition among public transport systems, considering the number of transported passengers as the differentiation attribute is presented, the analysis allows to answer the question of under what condition the market diversifies, and which are the levels of transported passengers that will be reached in the long term depending on the budget allocation rate destined to increase the number of users. Adaptive dynamics describes evolution through an ordinary differential equation known as the canonical equation, which smooths on a continuous path the successive processes of innovation and substitution. This approach considers interactions to be the evolutionary driving force and considers the feedback between evolutionary change and the selection forces that agents undergo. One of the main (general) contributions of this thesis is to illustrate in detail how the theory of adaptive dynamics is very useful in areas of knowledge quite distant from evolutionary biology, in particular for engineering, given that its results predict the systems' long-term dynamics, as well as to control in the demographic/market timescale and to influence the long-term behavior of the evolving attributes in the evolutionary timescale. (Texto tomado de la fuente) En la ejecución de esta tesis, hemos revisado la teoría de la dinámicas adaptativas, un trasfondo teórico que se origina en la biología evolutiva, que vincula la dinámica demográfica con los cambios evolutivos, y permite describir la dinámica evolutiva a largo plazo al considerar las innovaciones como eventos pequeños y raros en la escala de tiempo del mercado. Desde esta perspectiva, se han formulado tres modelos matemáticos que permiten describir la ramificación evolutiva, es decir, la coexistencia entre tecnologías innovadoras residentes y similares y su posterior divergencia en el espacio evolutivo. El primer modelo aborda el problema de determinar las condiciones para la diversificación del mercado energético a partir de las dinámicas adaptativas y el impacto que la imposición/asignación de impuestos/subsidios puede tener en el control de la diversificación del mercado. El segundo modelo explora la broca del café (Hypothenemus hampei) y su papel en la diversificación evolutiva del mercado cafetero; la influencia que las preferencias de los consumidores y las prácticas de control tienen sobre la diversificación se estudia en detalle y corresponde a la principal fuente de información. Además, en el quinto capítulo, se presenta un modelo para la competencia entre los sistemas de transporte público, considerando el número de pasajeros transportados como el atributo de diferenciación; el análisis permite responder a la pregunta bajo qué condiciones se diversifica el mercado y cuáles son los niveles de pasajeros transportados que se alcanzarán a largo plazo dependiendo de la tasa de asignación presupuestaria destinada a aumentar el número de usuarios. La teoría de las dinámicas adaptativas describe la evolución a través de una ecuación diferencial ordinaria conocida como ecuación canónica, que suaviza en una trayectoria continua los procesos sucesivos de innovación y sustitución. Este enfoque considera las interacciones como la fuerza impulsora de la evolución y tiene en cuenta la retroalimentación entre el cambio evolutivo y las fuerzas de selección que sufren los agentes. Una de las principales contribuciones mas generales de esta tesis es ilustrar en detalle cómo la teoría de las dinámicas adaptativas es útil en áreas de conocimiento bastante distantes de la biología evolutiva, en particular para la ingeniería, dado que sus resultados permiten predecir el comportamiento de los sistemas a largo plazo, así como controlar dicho comportamiento en la escala de tiempo demográfica/de mercado e influir en la dinámica a largo plazo de los atributos en evolución en la escala de tiempo evolutiva. Doctorado Doctor en Ingeniería - Ingeniería Automática Mathematical modeling of innovations and technological change Eléctrica, Electrónica, Automatización Y Telecomunicaciones
- Published
- 2022
105. Model-informed health and socio-economic benefits of enhancing global equity and access to Covid-19 vaccines.
- Author
-
Italia M, Della Rossa F, and Dercole F
- Subjects
- Humans, Animals, COVID-19 Vaccines, Decapodiformes, Immunization Programs, Socioeconomic Factors, Global Health, COVID-19 epidemiology, COVID-19 prevention & control, Vaccines
- Abstract
We take a model-informed approach to the view that a global equitable access (GEA) to Covid-19 vaccines is the key to bring this pandemic to an end. We show that the equitable redistribution (proportional to population size) of the currently available vaccines is not sufficient to stop the pandemic, whereas a 60% increase in vaccine access (the global share of vaccinated people) would have allowed the current distribution to stop the pandemic in about a year of vaccination, saving millions of people in poor countries. We then investigate the interplay between access to vaccines and their distribution among rich and poor countries, showing that the access increase to stop the pandemic gets minimized at + 32% by the equitable distribution (- 36% in rich countries and + 60% in poor ones). To estimate the socio-economic benefits of a vaccination campaign with enhanced global equity and access (eGEA), we compare calibrated simulations of the current scenario with a hypothetical, vaccination-intensive scenario that assumes high rollouts (shown however by many rich and poor countries during the 2021-2022 vaccination campaign) and an improved equity from the current 2.5:1 to a 2:1 rich/poor-ratio of the population fractions vaccinated per day. Assuming that the corresponding + 130% of vaccine production is made possible by an Intellectual Property waiver, we show that the money saved on vaccines globally by the selected eGEA scenario overcomes the 5-year profit of the rights holders in the current situation. This justifies compensation mechanisms in exchange for the necessary licensing agreements. The good news is that the benefits of this eGEA scenario are still relevant, were we ready to implement it now., (© 2023. The Author(s).)
- Published
- 2023
- Full Text
- View/download PDF
106. Love stories can be unpredictable: Jules et Jim in the vortex of life.
- Author
-
Dercole F and Rinaldi S
- Subjects
- Models, Theoretical, Reproducibility of Results, Literature, Love, Nonlinear Dynamics
- Abstract
Love stories are dynamic processes that begin, develop, and often stay for a relatively long time in a stationary or fluctuating regime, before possibly fading. Although they are, undoubtedly, the most important dynamic process in our life, they have only recently been cast in the formal frame of dynamical systems theory. In particular, why it is so difficult to predict the evolution of sentimental relationships continues to be largely unexplained. A common reason for this is that love stories reflect the turbulence of the surrounding social environment. But we can also imagine that the interplay of the characters involved contributes to make the story unpredictable-that is, chaotic. In other words, we conjecture that sentimental chaos can have a relevant endogenous origin. To support this intriguing conjecture, we mimic a real and well-documented love story with a mathematical model in which the environment is kept constant, and show that the model is chaotic. The case we analyze is the triangle described in Jules et Jim, an autobiographic novel by Henri-Pierre Roché that became famous worldwide after the success of the homonymous film directed by François Truffaut.
- Published
- 2014
- Full Text
- View/download PDF
107. Biomedical signal and image processing.
- Author
-
Cerutti S, Baselli G, Bianchi A, Caiani E, Contini D, Cubeddu R, Dercole F, Rienzo L, Liberati D, Mainardi L, Ravazzani P, Rinaldi S, Signorini M, and Torricelli A
- Subjects
- Algorithms, Electrodiagnosis, Humans, Models, Biological, Biomedical Engineering, Diagnostic Imaging, Image Interpretation, Computer-Assisted, Image Processing, Computer-Assisted, Signal Processing, Computer-Assisted
- Abstract
Generally, physiological modeling and biomedical signal processing constitute two important paradigms of biomedical engineering (BME): their fundamental concepts are taught starting from undergraduate studies and are more completely dealt with in the last years of graduate curricula, as well as in Ph.D. courses. Traditionally, these two cultural aspects were separated, with the first one more oriented to physiological issues and how to model them and the second one more dedicated to the development of processing tools or algorithms to enhance useful information from clinical data. A practical consequence was that those who did models did not do signal processing and vice versa. However, in recent years,the need for closer integration between signal processing and modeling of the relevant biological systems emerged very clearly [1], [2]. This is not only true for training purposes(i.e., to properly prepare the new professional members of BME) but also for the development of newly conceived research projects in which the integration between biomedical signal and image processing (BSIP) and modeling plays a crucial role. Just to give simple examples, topics such as brain–computer machine or interfaces,neuroengineering, nonlinear dynamical analysis of the cardiovascular (CV) system,integration of sensory-motor characteristics aimed at the building of advanced prostheses and rehabilitation tools, and wearable devices for vital sign monitoring and others do require an intelligent fusion of modeling and signal processing competences that are certainly peculiar of our discipline of BME.
- Published
- 2011
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.