The effects of district magnitude and social diversity on party system fragmentation in majoritarian systems

Cross-national models of party system fragmentation hold that social diversity and district magnitude interact: higher levels of district magnitude allow for greater expression of social diversity that leads to higher levels of party system fragmentation. Most models, however, ignore differences between majoritarian and proportional electoral rules, which may significantly alter the impact of district magnitude, as well as the way in which district magnitude impacts the translation of social cleavages into party system fragmentation. Examining the case of Singapore suggests majoritarian multimember districts limit party system fragmentation, particularly by reducing the degree to which ethnic and religious diversity are translated into political parties. Applying these insights to a standard cross-national model of party system fragmentation, the results suggest that majoritarian multimember districts produce lower levels of party system fragmentation than proportional multimember districts.

Adenosine induces growth-cone turning of sensory neurons

The formation of appropriate connections between neurons and their specific targets is an essential step during development and repair of the nervous system. Growth cones are located at the leading edges of the growing neurites and respond to environmental cues in order to be guided to their final targets. Directional information can be coded by concentration gradients of substrate-bound or diffusible-guidance molecules. Here we show that concentration gradients of adenosine stimulate growth cones of sensory neurons (dorsal root ganglia) from chicken embryos to turn towards the adenosine source. This response is mediated by adenosine receptors. The subsequent signal transduction process involves cAMP. It may be speculated that the in vivo function of this response is concerned with the formation or the repair and regeneration of the peripheral nervous system

Politics in Spain: A Case of Monitory Democracy

Analysing the current political context in Spain is a major challenge to political theory. Spain is experiencing the accumulation of trends that in recent years have focused the attention of most theorists and political scientists: discrediting of the major parties, falling numbers of party members, disaffection, etc. In parallel, this trend has been accompanied by citizen mobilisations that, since 15 May 2011, are manifest in numerous channels and strategies. The aim of this paper was to analyse the complex Spanish context from the monitory democracy proposal. The results show how in recent years processes of public scrutiny have been consolidated through a range of citizen initiatives. The study offers an in-depth analysis of the main characteristics of the most notable cases and monitoring initiatives, and also reflects on their democratising potential.El análisis del contexto político actual en España es un reto importante para la teoría política. España está experimentando la acumulación de tendencias que en años recientes han centrado la atención de la mayor parte de teóricos y científicos políticos: desacreditación de los principales partidos, caída del número de miembros de los partidos, desafección, etc. Paralelamente, esta tendencia se ha visto acompañada por movilizaciones ciudadanas que, desde el 15 de mayo de 2011, son manifiestas en numerosos canales y estrategias. El objetivo de este documento es analizar el complejo contexto español desde la propuesta de democracia monitorizada. Los resultados muestran que en años recientes se han consolidado los procesos de escrutinio público mediante una serie de iniciativas ciudadanas. El estudio ofrece un análisis en profundidad de las principales características de los casos e iniciativas de monitorización más notables, y reflexiona también sobre su potencial democratizador

Steering Evolution with Sequential Therapy to Prevent the Emergence of Bacterial Antibiotic Resistance

The increasing rate of antibiotic resistance and slowing discovery of novel antibiotic treatments presents a growing threat to public health. Here, we consider a simple model of evolution in asexually reproducing populations which considers adaptation as a biased random walk on a fitness landscape. This model associates the global properties of the fitness landscape with the algebraic properties of a Markov chain transition matrix and allows us to derive general results on the non-commutativity and irreversibility of natural selection as well as antibiotic cycling strategies. Using this formalism, we analyze 15 empirical fitness landscapes of E. coli under selection by different β-lactam antibiotics and demonstrate that the emergence of resistance to a given antibiotic can be either hindered or promoted by different sequences of drug application. Specifically, we demonstrate that the majority, approximately 70%, of sequential drug treatments with 2–4 drugs promote resistance to the final antibiotic. Further, we derive optimal drug application sequences with which we can probabilistically ‘steer’ the population through genotype space to avoid the emergence of resistance. This suggests a new strategy in the war against antibiotic–resistant organisms: drug sequencing to shepherd evolution through genotype space to states from which resistance cannot emerge and by which to maximize the chance of successful therapy