The coexistence of terms to describe the presence of multiple concurrent diseases

Background: Consensus on terminology for multiple diseases is lacking. Because of the clinical relevance and social impact of multiple concurrent diseases, it is important that concepts are clear. Objective: To highlight the diversity of terms in the literature referring to the presence of multiple concurrent diseases/conditions and make recommendations. Design: A bibliometric analysis of English-language publications indexed in the MEDLINE database from 1970 to 2012 for the terms comorbidity, multimorbidity, polymorbidity, polypathology, pluripathology, multipathology, and multicondition, and a review of definitions of multimorbidity found in English-language publications indexed from 1970 to 2012 in the MEDLINE and SCOPUS databases. Results: Comorbidity was used in 67,557 publications, multimorbidity in 434, and the other terms in three to 31 publications. At least 144 publications used the term comorbidity without referring to an index disease. Thirteen general definitions of multimorbidity were identified, but only two were frequently used (91% of publications). The most frequently used definition (48% of publications) was “more than one or multiple chronic or long-term diseases/conditions”. Multimorbidity was not defined in 51% of the publications using the term. Conclusions: Comorbidity was overwhelmingly used to describe any clinical entity coexisting with an index disease under study. Multimorbidity was the term most frequently used when no index disease was designated. Several definitions of multimorbidity were found. However, most authors using the term did not define it. The use of clearly defined terms in the literature is recommended until a general consensus on the terminology of multiple coexistent diseases is reached.Journal of Comorbidity 2013;3(1):4–9 

Immigrant population, public space and housing in Barcelona

Demographic change occurred in the last decade by the arrival of immigrant population has produced significant social and physical transformations in the Spanish cities. This article is part of a research on the residential and urban conditions of immigrant population in the Metropolitan Region of Barcelona. In this study we have analyzed through case studies the relation between immigration and city through the study of the use of public space and housing characteristics. The immigrant population is generally a very diverse collective. We propose that points in common can be drawn from analyses that take into account other major characteristics, beyond country of origin, such as gender, economic situation and education level. Through observation of groups in public spaces, especially squares, it is possible to identify aspects related both to social status and to gender roles assigned by their original and adopted cultures. This paper focuses on Metropolitan Region of Barcelona, and analyzes its reality based on concrete data and specific in case studies, to verify and compare the initial proposal. To be able to determine parameters for comparison, we have worked with a methodological strategy based of several quantitative and qualitative tools to get an insight on residential and urban conditions of the immigrant population. The main technique used was the participant observation, involving direct observation and presence in different interaction spaces: streets, squares and public facilities. The observations involve two dimensions to make the analysis and the comparison between different fields of study easier: Physical dimension and Social dimension. This made it possible for us to become aware of the different uses made by immigrants and by the Spanish population based on their activities, gender, age, and interaction with other persons.

Embaràs i maternitat

-

Inferring Best Strategies from the Aggregation of Information from Multiple Agents: The Cultural Approach

Although learning in MAS is described as a collective experience, most of the times its modeling draws solely or mostly on the results of the interaction between the agents. This abruptly contrasts with our everyday experience where learning relies, to a great extent, on a large stock of already codified knowledge rather than on the direct interaction among the agents. If in the course human history this reliance on already codified knowledge had a significant importance, especially since the discovery of writing, during the last decade the size and availability of this stock has increased notably because of the Internet. Even more, humanity has endowed itself with institutions and organizations devoted to fulfill the role of codifying, preserving and diffusing knowledge since its early days. Cultural Algorithms are one of the few cases where the modeling of this process, although in a limited way, has been attempted. However, even in this case, the modeling lacks some of the characteristics that have made it so successful in human populations, notably its frugality in learning only from a rather small subset of the population and a discussion of its dynamics in terms of hypothesis generation and falsification and the relationship between adaptation and discovery. A deep understanding of this process of collective learning, in all its aspects of generalization and re-adoption of this collective and distilled knowledge, together with its diffusion is a key element to understand how human communities function and how a mixed community of humans and electronic agents could effectively learn. And this is more important now than ever because this process has become not only global and available to large populations but also has largely increased its speed. This research aims to contribute to cover this gap, elucidating on the frugality of the mechanism while mapping it in a framework characterized by a variable level of complexity of knowledge. Also seeks to understand the macro dynamics resulting from the micro mechanisms and strategies chosen by the agents. Nevertheless, as any exercise based on modeling, it portrays a stylized description of reality that misses important points and significant aspects of the real behavior. In this case, while we will focus on individual learning and on the process of generalization and ulterior re-use of these generalizations, learning from other agents is notably absent. We believe however, that this choice contributes to make our model easier to understand and easier to expose the causality relationships emerging from our simulation exercises without sacrificing any significant result

Inferring Best Strategies from the Aggregation of Information from Multiple Agents: The Cultural Approach

Although learning in MAS is described as a collective experience, most of the times its modeling draws solely or mostly on the results of the interaction between the agents. This abruptly contrasts with our everyday experience where learning relies, to a great extent, on a large stock of already codified knowledge rather than on the direct interaction among the agents. If in the course human history this reliance on already codified knowledge had a significant importance, especially since the discovery of writing, during the last decade the size and availability of this stock has increased notably because of the Internet. Even more, humanity has endowed itself with institutions and organizations devoted to fulfill the role of codifying, preserving and diffusing knowledge since its early days. Cultural Algorithms are one of the few cases where the modeling of this process, although in a limited way, has been attempted. However, even in this case, the modeling lacks some of the characteristics that have made it so successful in human populations, notably its frugality in learning only from a rather small subset of the population and a discussion of its dynamics in terms of hypothesis generation and falsification and the relationship between adaptation and discovery. A deep understanding of this process of collective learning, in all its aspects of generalization and re-adoption of this collective and distilled knowledge, together with its diffusion is a key element to understand how human communities function and how a mixed community of humans and electronic agents could effectively learn. And this is more important now than ever because this process has become not only global and available to large populations but also has largely increased its speed. This research aims to contribute to cover this gap, elucidating on the frugality of the mechanism while mapping it in a framework characterized by a variable level of complexity of knowledge. Also seeks to understand the macro dynamics resulting from the micro mechanisms and strategies chosen by the agents. Nevertheless, as any exercise based on modeling, it portrays a stylized description of reality that misses important points and significant aspects of the real behavior. In this case, while we will focus on individual learning and on the process of generalization and ulterior re-use of these generalizations, learning from other agents is notably absent. We believe however, that this choice contributes to make our model easier to understand and easier to expose the causality relationships emerging from our simulation exercises without sacrificing any significant result

Estudi de viabilitat d'una llar d'infants a l'Eixample nord de Vilanova i la Geltrú

L’objectiu principal d’aquest estudi és demostrar la viabilitat de la promoció i construcció d’una nova llar d’infants a Vilanova i la Geltrú. Aquest estudi es realitza considerant un solar concret destinat a equipaments municipals i tenint en compte qualsevol tipus d’aspecte ja sigui positiu o negatiu envers la llar. Per a conèixer tots aquests factors es tindrà en compte la situació econòmica actual, el mercat educatiu actual, la competència, l’entorn i ubicació del nou servei, les demandes municipals, la propietat del solar,etc

Vinificacions de la malvasia de Sitges

La malvasia de Sitges ha tingut un passat esplendorós i un present crític. Si bé és veritat que la competència amb les urbanitzacions és una batalla difícil. Actualment es procura cultivar, veremar i elaborar amb molta cura. Tant la malvasia dolça com la seca estan ben referenciades i apreciades per un consumidor selecte i coneixedor. Això ens afalaga i renova les nostres ganes de continuar, i fer-ho, si s'escau, encara millor