La descentralización estructural y la heterogeneidad funcional en la producción colectiva de conocimiento: una justificación teórica y computacional del paradigma P2P

Esta tesis contiene artículos de investigación en anexo.Programa Oficial de Doctorado en Documentación: Archivos y Bibliotecas en el Entorno DigitalPresidente: Elías Sanz Casado.- Secretario: Rosario Arquero Avilés.- Vocal: Remedios Melero Meler

Modelización de Sistemas de Computación Distribuida con Bacterias Sintéticas mediante Autómatas Celulares

La conjugación es un sistema de comunicación distribuido que permite los intercambios de información genética entre bacterias. Este mecanismo peer-to-peer permite a las bacterias compartir estrategias de supervivencia implementadas en plásmidos de ADN. El presente trabajo se centra en la modelización de las dinámicas de conjugación mediante el uso de un autómata celular asíncrono y pretende servir como una aproximación formal y una herramienta de validación conceptual dentro del ámbito de la biología sintética. Este modelo se ha centrado en un caso de uso específico, una colonia heterogénea de bacterias modificadas genéticamente para discriminar plásmidos en base a la afinidad de los promotores y factores de transcripción de dos conjuntos de partida.Conjugation is a distributed communication system which allows exchanges of genetic information among bacteria. This peer-to-peer mechanism allows bacteria to share survival strategies implemented in DNA plasmids. This paper focuses on the modeling of conjugation dynamics by using asynchronous cellular automata. It intends to serve in the field of synthetic biology as a formal approach and a conceptual validation tool. This model has been focused on a specific use case, a heterogeneous colony of engineered bacteria that discriminate plasmids by evaluating affinity among pairs of promoters and transcription factors

Information literacy and peer-to-peer infrastructures: An autopoietic perspective

This article argues that an autopoietic perspective of human communities would allow to understand societies as self-organized systems and thus promote information literacy as a facilitator of social development. Peer-to-peer (P2P) social dynamics generate public information available worldwide in digital repositories, websites and bibliographic resources. However, processing such amount of data is not achievable by a single central-controlled system. We claim that distributed and heterogeneous networks of coordinated mechanisms, composed by both specialized human and artificial agents, are needed to improve information retrieval, knowledge inference and decision-making, but also to produce social value, goods and services. Handling these issues implies the collective construction of global semantic networks but also the active labor of knowledge producers and consumers. We conclude that information literacy is as much important as any technical implementation and, therefore, may lead to networks of Commons-oriented communities which would utilize P2P infrastructuresVasilis Kostakis acknowledges funding for facilities used in this research by IUT (19-13) of the Estonian Ministry of Education and Researc

Policy Analysis Tool Applied to Colombian Needs: PATACON Model Description

In this document we lay out the microeconomic foundations of a dynamic stochastic general equilibrium model designed to forecast and to advice monetary policy authorities in Colombia. The model is called Policy Analysis Tool Applied to Colombian Needs (PATACON). In companion documents we present other aspects of the model and its platform, including the estimation of the parameters that affect the dynamics and the impulse responses functions.Monetary Policy, DSGE, Small open economy. Classification JEL: E32, E52, F41.

Analysis of a chemo-repulsion model with nonlinear production: The continuous problem and unconditionally energy stable fully discrete schemes

We consider the following repulsive-productive chemotaxis model: Let $p\in (1,2)$, find $u \geq 0$, the cell density, and $v \geq 0$, the chemical concentration, satisfying \begin{equation}\label{C5:Am} \left\{ \begin{array} [c]{lll} \partial_t u - \Delta u - \nabla\cdot (u\nabla v)=0 \ \ \mbox{in}\ \Omega,\ t>0,\\ \partial_t v - \Delta v + v = u^p \ \ \mbox{in}\ \Omega,\ t>0, \end{array} \right. \end{equation} in a bounded domain $\Omega\subseteq \mathbb{R}^d$, $d=2,3$. By using a regularization technique, we prove the existence of solutions of this problem. Moreover, we propose three fully discrete Finite Element (FE) nonlinear approximations, where the first one is defined in the variables $(u,v)$, and the second and third ones by introducing ${\boldsymbol\sigma}=\nabla v$ as an auxiliary variable. We prove some unconditional properties such as mass-conservation, energy-stability and solvability of the schemes. Finally, we compare the behavior of the schemes throughout several numerical simulations and give some conclusions.Comment: arXiv admin note: substantial text overlap with arXiv:1807.0111

Evaluating a human-robot interface for exploration missions

The research reported in this paper concerns the design, implementation, and experimental evaluation of a Human-Robot Interface for stationary remote operators, implemented for a PC computer. The GUI design and functionality is described. An Autonomy Management Model has been implemented and explained. We have conducted user evaluation, making two set of experiments, that will be described and the resulting data analyzed. The conclusions give an insight on the most important usability concerns, regarding the operator situational awareness. The scalability of the interface is also experimentally studied

Monetary Policy Forecasting in a DSGE Model with Data that is Uncertain, Unbalanced and About the Future

If theory-consistent models can ever hope to forecast well and to be useful for policy, they have to relate to data which though rich in information is uncertain, unbalanced and sometimes forecasts from external sources about the future path of other variables. One example from many is financial market data, which can help but only after smoothing out irrelevant short-term volatility. In this paper we propose combining different types of useful but awkward data set with a linearised forward-looking DSGE model through a Kalman Filter fixed-interval smoother to improve the utility of these models as policy tools. We apply this scheme to a model for Colombia.Monetary Policy, DSGE, Forecast, Kalman Filter Classification JEL: F47, E01, C61.

Feature Papers of Drones - Volume I

[EN] The present book is divided into two volumes (Volume I: articles 1–23, and Volume II: articles 24–54) which compile the articles and communications submitted to the Topical Collection ”Feature Papers of Drones” during the years 2020 to 2022 describing novel or new cutting-edge designs, developments, and/or applications of unmanned vehicles (drones). Articles 1–8 are devoted to the developments of drone design, where new concepts and modeling strategies as well as effective designs that improve drone stability and autonomy are introduced. Articles 9–16 focus on the communication aspects of drones as effective strategies for smooth deployment and efficient functioning are required. Therefore, several developments that aim to optimize performance and security are presented. In this regard, one of the most directly related topics is drone swarms, not only in terms of communication but also human-swarm interaction and their applications for science missions, surveillance, and disaster rescue operations. To conclude with the volume I related to drone improvements, articles 17–23 discusses the advancements associated with autonomous navigation, obstacle avoidance, and enhanced flight plannin

Feature Papers of Drones - Volume II

[EN] The present book is divided into two volumes (Volume I: articles 1–23, and Volume II: articles 24–54) which compile the articles and communications submitted to the Topical Collection ”Feature Papers of Drones” during the years 2020 to 2022 describing novel or new cutting-edge designs, developments, and/or applications of unmanned vehicles (drones). Articles 24–41 are focused on drone applications, but emphasize two types: firstly, those related to agriculture and forestry (articles 24–35) where the number of applications of drones dominates all other possible applications. These articles review the latest research and future directions for precision agriculture, vegetation monitoring, change monitoring, forestry management, and forest fires. Secondly, articles 36–41 addresses the water and marine application of drones for ecological and conservation-related applications with emphasis on the monitoring of water resources and habitat monitoring. Finally, articles 42–54 looks at just a few of the huge variety of potential applications of civil drones from different points of view, including the following: the social acceptance of drone operations in urban areas or their influential factors; 3D reconstruction applications; sensor technologies to either improve the performance of existing applications or to open up new working areas; and machine and deep learning development

Asimetrías del empleo y el producto, una aproximación de equilibrio general

La evidencia empírica para Colombia muestra relaciones tanto positivas como negativas entre el crecimiento del producto y empleo, a diferencia de lo encontrado en economías desarrolladas como la de los Estados Unidos. El presente trabajo usa modelos VAR y de Equilibrio General Dinámico y Estocástico para abordar explicaciones de ese fenómeno. Los resultados obtenidos, usando datos trimestrales para Colombia, son consistentes para las dos metodologías; se encuentra que la correlación entre el producto y el empleo es condicional a la fuerza motora del ciclo económico. En particular se encuentra que choques tecnológicos inducen una correlación negativa entre producto y empleo, mientras choques no tecnológicos inducen la correlación contraria.Mercado laboral, VAR estructural, DSGE, Economía abierta, Política monetaria. Classification JEL: E24, E27, E32, E37, F41, J64.