Adaptive agents in changing environments, the role of modularity

We explored the role of modularity as a means to improve evolvability in populations of adaptive agents. We performed two sets of artificial life experiments. In the first, the adaptive agents were neural networks controlling the behavior of simulated garbage collecting robots, where modularity referred to the networks architectural organization and evolvability to the capacity of the population to adapt to environmental changes measured by the agents performance. In the second, the agents were programs that control the changes in network's synaptic weights (learning algorithms), the modules were emerged clusters of symbols with a well defined function and evolvability was measured through the level of symbol diversity across programs. We found that the presence of modularity (either imposed by construction or as an emergent property in a favorable environment) is strongly correlated to the presence of very fit agents adapting effectively to environmental changes. In the case of learning algorithms we also observed that character diversity and modularity are also strongly correlated quantities. © 2014 Springer Science+Business Media New York.

Adaptive Control and Multi-agent Interface for Infotelecommunication Systems of New Generation

Problems for intellectualisation for man-machine interface and methods of self-organization for network control in multi-agent infotelecommunication systems have been discussed. Architecture and principles for construction of network and neural agents for telecommunication systems of new generation have been suggested. Methods for adaptive and multi-agent routing for information flows by requests of external agents- users of global telecommunication systems and computer networks have been described.

Climate change adaptation planning under uncertainty in Ho Chi Minh City, Vietnam: a case study on institutional vulnerability, adaptive capacity and climate change governance

Climate change is expected to have wide-ranging impacts on urban areas and creates additional challenges for sustainable development. Urban areas are inextricably linked with climate change, as they are major contributors to it, while also being particularly vulnerable to its impacts. Climate change presents a new challenge to urban areas, not only because of the expected rises in temperature and sea-level, but also the current context of failure to fully address the institutional barriers preventing action to prepare for climate change, or feedbacks between urban systems and agents. Despite the importance of climate change, there are few cities in developing countries that are attempting to address these issues systematically as part of their governance and planning processes. While there is a growing literature on the risks and vulnerabilities related to climate change, as yet there is limited research on the development of institutional responses, the dissemination of relevant knowledge and evaluation of tools for practical planning responses by decision makers at the city level. This thesis questions the dominant assumptions about the capacity of institutions and potential of adaptive planning. It argues that achieving a balance between climate change impacts and local government decision-making capacity is a vital for successful adaptation to the impacts of climate change. Urban spatial planning and wider environmental planning not only play a major role in reducing/mitigating risks but also have a key role in adapting to uncertainty in over future risk. The research focuses on a single province - the biggest city in Vietnam - Ho Chi Minh City - as the principal case study to explore this argument, by examining the linkages between urban planning systems, the structures of governance, and climate change adaptation planning. In conclusion it proposes a specific framework to offer insights into some of the more practical considerations, and the approach emphasises the importance of vertical and horizontal coordination in governance and urban planning.

Ethanol-related adaptive changes and physical dependence in rats after exposure to ethanol

Adaptive changes that occur after chronic exposure to ethanol are an important component in the development of physical dependence. We have focused our research on ethanol-induced changes in the expression of several genes that may be important in adaptation. In this article, we describe adaptive changes at the level of the N-methyl-D-aspartate receptor, in the protein expression and activity of the Egr transcription factors, and in the expression of a novel gene of unknown function. (C) 2001 Elsevier Science Inc. All rights reserved.

Smart offices and intelligent decision rooms

Nowadays computing technology research is focused on the development of Smart Environments. Following that line of thought several Smart Rooms projects were developed and their appliances are very diversified. The appliances include projects in the context of workplace or everyday living, entertainment, play and education. These appliances envisage to acquire and apply knowledge about the environment state in order to reason about it so as to define a desired state for its inhabitants and perform adaptation adaptation to these desires and therefore improving their involvement and satisfaction with that environment.

Performance Model for MRC Receivers with Adaptive Modulation and Coding in Rayleigh Fading Correlated Channels with Imperfect CSIT

RTUWO Advances in Wireless and Optical Communications 2015 (RTUWO 2015). 5-6 Nov Riga, Latvia.

Adaptive Penalty and Barrier function based on Fuzzy Logic

Optimization methods have been used in many areas of knowledge, such as Engineering, Statistics, Chemistry, among others, to solve optimization problems. In many cases it is not possible to use derivative methods, due to the characteristics of the problem to be solved and/or its constraints, for example if the involved functions are non-smooth and/or their derivatives are not know. To solve this type of problems a Java based API has been implemented, which includes only derivative-free optimization methods, and that can be used to solve both constrained and unconstrained problems. For solving constrained problems, the classic Penalty and Barrier functions were included in the API. In this paper a new approach to Penalty and Barrier functions, based on Fuzzy Logic, is proposed. Two penalty functions, that impose a progressive penalization to solutions that violate the constraints, are discussed. The implemented functions impose a low penalization when the violation of the constraints is low and a heavy penalty when the violation is high. Numerical results, obtained using twenty-eight test problems, comparing the proposed Fuzzy Logic based functions to six of the classic Penalty and Barrier functions are presented. Considering the achieved results, it can be concluded that the proposed penalty functions besides being very robust also have a very good performance.

Adaptive modeling and high quality spectral estimation for speech enhancement

In this work an adaptive modeling and spectral estimation scheme based on a dual Discrete Kalman Filtering (DKF) is proposed for speech enhancement. Both speech and noise signals are modeled by an autoregressive structure which provides an underlying time frame dependency and improves time-frequency resolution. The model parameters are arranged to obtain a combined state-space model and are also used to calculate instantaneous power spectral density estimates. The speech enhancement is performed by a dual discrete Kalman filter that simultaneously gives estimates for the models and the signals. This approach is particularly useful as a pre-processing module for parametric based speech recognition systems that rely on spectral time dependent models. The system performance has been evaluated by a set of human listeners and by spectral distances. In both cases the use of this pre-processing module has led to improved results.

Sporothrix schenckii COMPLEX: SUSCEPTIBILITIES TO COMBINED ANTIFUNGAL AGENTS AND CHARACTERIZATION OF ENZYMATIC PROFILES

SUMMARY Sporothrix schenckiiwas reclassified as a complex encompassing six cryptic species, which calls for the reassessment of clinical and epidemiological data of these new species. We evaluated the susceptibility of Sporothrix albicans (n = 1) , S. brasiliensis (n = 6) , S. globosa (n = 1), S. mexicana(n = 1) and S. schenckii(n = 36) to terbinafine (TRB) alone and in combination with itraconazole (ITZ), ketoconazole (KTZ), and voriconazole (VRZ) by a checkerboard microdilution method and determined the enzymatic profile of these species with the API-ZYM kit. Most interactions were additive (27.5%, 32.5% and 5%) or indifferent (70%, 50% and 52.5%) for TRB+KTZ, TRB+ITZ and TRB+VRZ, respectively. Antagonisms were observed in 42.5% of isolates for the TRB+VRZ combination. Based on enzymatic profiling, the Sporothrix schenckii strains were categorized into 14 biotypes. Leucine arylamidase (LA) activity was observed only for S. albicans and S. mexicana. The species S. globosaand S. mexicanawere the only species without β-glucosidase (GS) activity. Our results may contribute to a better understanding of virulence and resistance among species of the genus Sporothrixin further studies.

Estudios in vitro e in vivo de agentes fotosensibilizadores y su aplicación en terapia fotodinámica. In vitro and in vivo studies of photosensitizer agents and its application in photodynamic therapy.

Muchos esfuerzos se están realizando en el diseño de nuevos métodos para la eliminación de las células tumorales y así inhibir el crecimiento neoplásico. Entre los métodos no convencionales se encuentran la Terapia Fotodinámica.La Terapia Fotodinámica (TFD) es un tratamiento experimental de algunos tipos de cáncer, basado en el efecto citotóxico inducido en el tejido tumoral, por la acción combinada de una droga (fotosensibilizador) y la luz visible. El fotosensibilizador posee la propiedad de absorber la luz y reaccionar con el oxígeno molecular, produciendo una forma activa del oxígeno: el oxígeno singlete (1O2) que oxida diversas moléculas biológicas, induciendo un efecto citotóxico que se traduce en la regresión tumoral. Los nuevos avances en la dosimetría de la luz, así como la búsqueda de una segunda generación de nuevos fotosensibilizadores más eficaces que los actualmente utilizados, han permitido incluir protocolos de Terapia Fotodinámica en numerosos centros hospitalarios principalmente para el tratamiento de cánceres de pulmón, vejiga, esófago y piel. Plantas fototóxicas, sus metabolitos fotosensibilizantes y sus posibles usos; En general, dentro de las especies vegetales tóxicas existen aquellas denominadas plantas alergénicas, que son las que pueden producir sus efectos indeseables por vía dérmica. También existen aquellas que pueden producir efectos tóxicos por vía sistémica. Sin embargo, coexiste en la naturaleza otro grupo de plantas tóxicas que desencadenan sus efectos nocivos bajo la acción de la luz, por lo que son llamadas plantas fototóxicas, cuyos principios activos son comúnmente denominados agentes fotosensibilizantes La apoptosis como blanco terapéutico contra el cáncer: Los conocimientos moleculares sobre la apoptosis adquiridos en los últimos años están siendo aplicados al desarrollo de nuevos fármacos que puedan modular selectivamente las señales involucradas en la muerte de las células. Una de las razones que justifica el interés en el estudio de este tipo de moléculas, es que una de las características más tempranas en la transformación de la células neoplásicas esta relacionada con la incapacidad de responder a los estímulos de muerte. Esto lleva a una desregulación del proceso de apoptosis desencadenando una proliferación descontrolada. Los otros eventos que desencadenan el cáncer son, la invasión vascular y la metástasis a distanciaLa adquisición de resistencia a los efectos citotóxicos de los tratamientos anticancerígenos ha emergido como un significante impedimento para el efectivo tratamiento de la enfermedad. Por ello, en el presente proyecto se investigará si la adquisición de resistencia a TFD inducida en la línea celular estudiada es conferida por el aumento de la proteína MDRP1 a través de la vía de señalización PI3K/Akt. Además, se estudiará la correlación entre la posible resistencia a drogas y la inducción de apoptosis, analizando los mecanismos involucrados. Los resultados obtenidos contribuirán a dilucidar y entender los mecanismos moleculares implicados en la resistencia y sensibilidad tumoral a la TFD, y de esta manera mejorar la eficacia de dicha terapia antitumoral para sensibilizar a las células a la apoptosis. OBJETIVOS Estudiar el efecto de agentes fotosensibilizadores de origen sintético (ftalocianinas), comercialmente ya aprobadas por la FDA (Me-ALA), de origen natural (antraquinonas), y obtenidas en procesos nanotecnologicos (nanofibras) respecto a su capacidad de inducir la muerte celular en sistemas experimentales in vivo, para el desarrollo de nuevas drogas de aplicación en Terapia Fotodinámica (PDT). Estudiar las señales de apoptosis que se desencadenan, combinando la PDT con iRNA (antisurvivina) con la finalidad de aumentar la eficiencia de la muerte tumoral. Estudiar los mecanismos de resistencia a la Terapia Fotodinámica en carcinoma de células escamosas con fotosensibilizadores permitidos (Me-ALA).

Effects of antibacterial agents and drugs monitored by atomic force microscopy.

Originally invented for topographic imaging, atomic force microscopy (AFM) has evolved into a multifunctional biological toolkit, enabling to measure structural and functional details of cells and molecules. Its versatility and the large scope of information it can yield make it an invaluable tool in any biologically oriented laboratory, where researchers need to perform characterizations of living samples as well as single molecules in quasi-physiological conditions and with nanoscale resolution. In the last 20 years, AFM has revolutionized the characterization of microbial cells by allowing a better understanding of their cell wall and of the mechanism of action of drugs and by becoming itself a powerful diagnostic tool to study bacteria. Indeed, AFM is much more than a high-resolution microscopy technique. It can reconstruct force maps that can be used to explore the nanomechanical properties of microorganisms and probe at the same time the morphological and mechanical modifications induced by external stimuli. Furthermore it can be used to map chemical species or specific receptors with nanometric resolution directly on the membranes of living organisms. In summary, AFM offers new capabilities and a more in-depth insight in the structure and mechanics of biological specimens with an unrivaled spatial and force resolution. Its application to the study of bacteria is extremely significant since it has already delivered important information on the metabolism of these small microorganisms and, through new and exciting technical developments, will shed more light on the real-time interaction of antimicrobial agents and bacteria.

A Typology of agents and subjects of regional cooperation: the experience of the Mediterranean Arch

El document és el resultat d'una investigació més àmplia sobre la construcció de l'Arc Mediterrani. El seu objectiu és posar en relleu el notable grau de desenvolupament de la cooperació regional en la matèria, a través d'una anàlisi detallada de les diferents figures institucionalitzades de cooperació territorial existents (o haver existit) a la zona. L'anàlisi s'ha dut a terme des d'un punt de vista temàtic, basat en els objectius prioritaris d'aquestes institucions. En concret, les xifres estudiades es limiten a les institucions formals o les associacions de col · laboració de caràcter específic, com ara euroregions o les agrupacions europees d'interès econòmic, entès com les figures de major institucionalització dels espais transnacionals a nivell europeu. En canvi, hem deixat de banda altres figures, com Interreg (finançat pel FEDER), ja que no són entitats correctament. Encara que de vegades els acords de cooperació establerts per als projectes d'Interreg han donat lloc a algunes de les entitats estudiades aquí.

Adaptive search and information updating in sequential mate choice

Classical treatments of problems of sequential mate choice assume that the distribution of the quality of potential mates is known a priori. This assumption, made for analytical purposes, may seem unrealistic, opposing empirical data as well as evolutionary arguments. Using stochastic dynamic programming, we develop a model that includes the possibility for searching individuals to learn about the distribution and in particular to update mean and variance during the search. In a constant environment, a priori knowledge of the parameter values brings strong benefits in both time needed to make a decision and average value of mate obtained. Knowing the variance yields more benefits than knowing the mean, and benefits increase with variance. However, the costs of learning become progressively lower as more time is available for choice. When parameter values differ between demes and/or searching periods, a strategy relying on fixed a priori information might lead to erroneous decisions, which confers advantages on the learning strategy. However, time for choice plays an important role as well: if a decision must be made rapidly, a fixed strategy may do better even when the fixed image does not coincide with the local parameter values. These results help in delineating the ecological-behavior context in which learning strategies may spread.