A new world a new American foreign policy: the Carter administration, Nicaragua, and the legacy of the Vietnam War, 1977-1981

The impact of the Vietnam War conditioned the Carter administration’s response to the Nicaraguan revolution in ways that reduced US engagement with both sides of the conflict. It made the countries of Latin America counter the US approach and find their own solution to the crisis, and allowed Cuba to play a greater role in guiding the overthrow of Nicaraguan dictator Anastasio Somoza Debayle. This thesis re-evaluates Carter’s policy through the legacy of the Vietnam War, because US executive anxieties about military intervention, Congress’s increasing influence, and US public concerns about the nation’s global responsibilities, shaped the Carter approach to Nicaragua. Following a background chapter, the Carter administration’s policy towards Nicaragua is evaluated, before and after the fall of Somoza in July 1979. The extent of the Vietnam influence on US-Nicaraguan relations is developed by researching government documents on the formation of US policy, including material from the Jimmy Carter Library, the Library of Congress, the National Security Archive, the National Archives and Records Administration, and other government and media sources from the United Nations Archives, New York University, the New York Public Library, the Hoover Institution Archives, Tulane University and the Organization of American States. The thesis establishes that the Vietnam legacy played a key role in the Carter administration’s approach to Nicaragua. Before the overthrow of Somoza, the Carter administration limited their influence in Nicaragua because they felt there was no immediate threat from communism. The US feared that an active role in Nicaragua, without an established threat from Cuba or the Soviet Union, could jeopardise congressional support for other foreign policy goals deemed more important. The Carter administration, as a result, pursued a policy of non-intervention towards the Central American country. After the fall of Somoza, and the establishment of a new government with a left wing element represented by the Sandinistas, the Carter administration emphasised non-intervention in a military sense, but actively engaged with the new Nicaraguan leadership to contain the potential communist influence that could spread across Central America in the wake of the Nicaraguan revolution.

Digital signal processing and artificial intelligence for the automated classification of food allergy

As a by-product of the ‘information revolution’ which is currently unfolding, lifetimes of man (and indeed computer) hours are being allocated for the automated and intelligent interpretation of data. This is particularly true in medical and clinical settings, where research into machine-assisted diagnosis of physiological conditions gains momentum daily. Of the conditions which have been addressed, however, automated classification of allergy has not been investigated, even though the numbers of allergic persons are rising, and undiagnosed allergies are most likely to elicit fatal consequences. On the basis of the observations of allergists who conduct oral food challenges (OFCs), activity-based analyses of allergy tests were performed. Algorithms were investigated and validated by a pilot study which verified that accelerometer-based inquiry of human movements is particularly well-suited for objective appraisal of activity. However, when these analyses were applied to OFCs, accelerometer-based investigations were found to provide very poor separation between allergic and non-allergic persons, and it was concluded that the avenues explored in this thesis are inadequate for the classification of allergy. Heart rate variability (HRV) analysis is known to provide very significant diagnostic information for many conditions. Owing to this, electrocardiograms (ECGs) were recorded during OFCs for the purpose of assessing the effect that allergy induces on HRV features. It was found that with appropriate analysis, excellent separation between allergic and nonallergic subjects can be obtained. These results were, however, obtained with manual QRS annotations, and these are not a viable methodology for real-time diagnostic applications. Even so, this was the first work which has categorically correlated changes in HRV features to the onset of allergic events, and manual annotations yield undeniable affirmation of this. Fostered by the successful results which were obtained with manual classifications, automatic QRS detection algorithms were investigated to facilitate the fully automated classification of allergy. The results which were obtained by this process are very promising. Most importantly, the work that is presented in this thesis did not obtain any false positive classifications. This is a most desirable result for OFC classification, as it allows complete confidence to be attributed to classifications of allergy. Furthermore, these results could be particularly advantageous in clinical settings, as machine-based classification can detect the onset of allergy which can allow for early termination of OFCs. Consequently, machine-based monitoring of OFCs has in this work been shown to possess the capacity to significantly and safely advance the current state of clinical art of allergy diagnosis