3 resultados para Adaptive capacity
em AMS Tesi di Dottorato - Alm@DL - Università di Bologna
Resumo:
L’ampliamento dello spettro d’ospite è strettamente connesso al processo evolutivo a cui i virus sono assoggettati e rappresenta una notevole sfida alla loro capacità di adattarsi. L’attitudine a superare le barriere di specie è conseguente alla costante e relativamente rapida evoluzione che caratterizza i virus; allo stesso tempo, la forza selettiva esercitata dal nuovo ospite rappresenterà un ulteriore stimolo per le capacità adattative del virus. Ad oggi, i meccanismi genetici ed evolutivi responsabili del salto di specie virale, cioè la trasmissione di un virus da un ospite tradizionale ad uno precedentemente resistente all’infezione, sono parzialmente sconosciuti. Nel seguente lavoro verranno presentati gli studi effettuati sulle dinamiche evolutive caratterizzanti virus a RNA e a DNA in cui si sono osservate variazioni dello spettro d’ospite. Gli studi hanno riguardato i coronavirus, con particolare riferimento al ruolo svolto dai pipistrelli nell’evoluzione dei coronavirus SARS-correlati, e l’importanza del gatto nell’evoluzione dei parvovirus dei carnivori. Nella prima sezione saranno mostrate le correlazioni genetiche dei coronavirus identificati in Italia nei pipistrelli appartenenti alla specie Rhinolophus ferrumequinum con i ceppi europei e del resto del mondo, allo scopo di chiarire l’origine evolutiva dei coronavirus dei pipistrelli correlati al virus della SARS (Bat-SARS-like CoV) europei, gli eventi migratori che hanno caratterizzato la loro diffusione nel continente e le potenziali ripercussioni sulla salute pubblica. Nella seconda sezione saranno evidenziate le caratteristiche molecolari dei ceppi di parvovirus circolanti nella popolazione felina, valutandone la diversità di sequenza e la complessità genetica, allo scopo di ottenere importanti informazioni in merito all’evoluzione del virus e alle interazioni tra il parvovirus e l’ospite.
Resumo:
Government policies play a critical role in influencing market conditions, institutions and overall agricultural productivity. The thesis therefore looks into the history of agriculture development in India. Taking a political economy perspective, the historical account looks at significant institutional and technological innovations carried out in pre- independent and post independent India. It further focuses on the Green Revolution in Asia, as forty years after; the agricultural community still faces the task of addressing recurrent issue of food security amidst emerging challenges, such as climate change. It examines the Green Revolution that took place in India during the late 1960s and 70s in a historical perspective, identifying two factors of institutional change and political leadership. Climate change in agriculture development has become a major concern to farmers, researchers and policy makers alike. However, there is little knowledge on the farmers’ perception to climate change and to the extent they coincide with actual climatic data. Using a qualitative approach,it looks into the perceptions of the farmers in four villages in the states of Maharashtra and Andhra Pradesh. While exploring the adaptation strategies, the chapter looks into the dynamics of who can afford a particular technology and who cannot and what leads to a particular adaptation decision thus determining the adaptive capacity in water management. The final section looks into the devolution of authority for natural resource management to local user groups through the Water Users’ Associations as an important approach to overcome the long-standing challenges of centralized state bureaucracies in India. It addresses the knowledge gap of why some local user groups are able to overcome governance challenges such as elite capture, while others-that work under the design principles developed by Elinor Ostrom. It draws conclusions on how local leadership, can be promoted to facilitate participatory irrigation management.
Resumo:
That humans and animals learn from interaction with the environment is a foundational idea underlying nearly all theories of learning and intelligence. Learning that certain outcomes are associated with specific actions or stimuli (both internal and external), is at the very core of the capacity to adapt behaviour to environmental changes. In the present work, appetitive and aversive reinforcement learning paradigms have been used to investigate the fronto-striatal loops and behavioural correlates of adaptive and maladaptive reinforcement learning processes, aiming to a deeper understanding of how cortical and subcortical substrates interacts between them and with other brain systems to support learning. By combining a large variety of neuroscientific approaches, including behavioral and psychophysiological methods, EEG and neuroimaging techniques, these studies aim at clarifying and advancing the knowledge of the neural bases and computational mechanisms of reinforcement learning, both in normal and neurologically impaired population.