La inclusión y la exclusión política y literaria: Josefa Acevedo de Gómez (1803-1861).

En el trabajo que sigue propongo demostrar que la memoria de la figura y obra de Josefa Acevedo está fuertemente imbricada con la memoria, o más bien desmemoria, histórica de Colombia, y el olvido de la entidad política e identidad colectiva llamada Nueva Granada. El nombre de Nueva Granada significó, por lo menos hasta el siglo XX, una ideología y programa política específica - el republicanismo democrático constitucional representado por Francisco de Paula Santander, que luchaba contra del centralismo de Bolívar, la Gran Colombia, y los conservadores. El reconocimiento de los méritos de la familia Acevedo, incluido Josefa, dependía por lo tanto de las fortunas del partido liberal

Evaluation of Response to Complexity (R2C)

This is a mixed-methods evaluation of a Department of Communities and Local Government (DCLG) funded coordinated response to support survivors of domestic and sexual abuse with complex needs (mental ill-health, substance misuse including alcohol and/or dual diagnosis) in Nottingham

Why study the early Eucharist?

The Eucharist is a central element of the religious practice of the majority of Christians. Part of this practice is the act of recollection (anamnesis) of the origins of the practice which is located within memory at the salient moment of Jesus' last supper. However, this memory must be accompanied by study of the historical situation of its origins and early development in the early churches if some of the problems within the theology of the Eucharist are to be addressed adequately today

A big data approach to assess the influence of road pavement condition on truck fleet fuel consumption

In Europe, the road network is the most extensive and valuable infrastructure asset. In England, for example, its value has been estimated at around £344 billion and every year the government spends approximately £4 billion on highway maintenance (House of Commons, 2011). Fuel efficiency depends on a wide range of factors, including vehicle characteristics, road geometry, driving pattern and pavement condition. The latter has been addressed, in the past, by many studies showing that a smoother pavement improves vehicle fuel efficiency. A recent study estimated that road roughness affects around 5% of fuel consumption (Zaabar & Chatti, 2010). However, previous studies were based on experiments using few instrumented vehicles, tested under controlled conditions (e.g. steady speed, no gradient etc.) on selected test sections. For this reason, the impact of pavement condition on vehicle fleet fuel economy, under real driving conditions, at network level still remains to be verified. A 2% improvement in fuel efficiency would mean that up to about 720 million liters of fuel (~£1 billion) could be saved every year in the UK. It means that maintaining roads in better condition could lead to cost savings and reduction of greenhouse gas emissions. Modern trucks use many sensors, installed as standard, to measure data on a wide range of parameters including fuel consumption. This data is mostly used to inform fleet managers about maintenance and driver training requirements. In the present work, a ‘Big Data’ approach is used to estimate the impact of road surface conditions on truck fleet fuel economy for many trucks along a motorway in England. Assessing the impact of pavement conditions on fuel consumption at truck fleet and road network level would be useful for road authorities, helping them prioritize maintenance and design decisions