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              <text>Unprecedented demands are being placed on compute resources due to HPC jobs such as next-gen machine learning. Distributed systems rely on resource provisioning algorithms to parallelise these jobs across many nodes; however, traditional algorithms are unlikely to perform- an inefficient and costly waste of power and time. This research aims to design the optimal algorithm for parallelisable tasks, under a real-world workload, and validate theoretical expectations with the results from system simulations.</text>
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              <text>We consider a stochastic Ising model evolving according to Glauber dynamics on a complete graph $\G$ with two clusters $\G_1$,$\G_2$. We analyse the metastability of the model and its dependence on the interaction coefficient $J^*$ between vertices $v\in G_1$, $w \in \G_2$. We also investigate the change to dynamics when a positive magnetic field with strength $h$ is introduced. In our study of the metastability we focus on the expected hitting time $\mathbb{E}[\tau^m_s]$. In \cite{Manzo}, the authors show that in the absence of deep cycles, provided we have good control on the typical paths from a $\X_m$, it is possible to derive asymptotic results concerning this value. In addition to asymptotic behaviour, we analyse the dynamics in the $n\to \infty$ limit via large deviation theory. Thus we provide weak convergence results for the Gibbs measure for under the mean-field assumption and identify changes to the dynamics below and above critical temperatures. </text>
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              <text>This project involved building a software to operate FL3030 line camera in python with a user interface which included camera controls.​</text>
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              <text>Phlebotomine sandflies vector multiple disease-causing agents, such as Leishmania spp.  Leishmaniasis causes great disease burden especially in developing nations, remains a neglected tropical disease and is endemic in tropical regions and across the mediterranean basin. Although it is curable, treatment can be problematic and expensive. To improve vector and parasite surveillance, sandfly sensory ecology can be exploited to develop novel tools, such as the use of semiochemicals. This work is part of a multidisciplinary approach to combat sandfly vector borne diseases named CLIMOS. This study aims to test the semiochemicals with the highest potential in the lab under field conditions to assess whether they can influence sandfly catches. The absence of significant results indicate a lack of significant effect of the semiochemicals on sandfly catches compared to the control treatment; thus, the current formulation may not be beneficial for vector surveillance. However, differences in sandfly abundance between sampling sites suggest that environmental factors may play a crucial role in trap effectiveness. The study's limitations include time constraints and challenges related to mounting and identification protocols, highlighting the need for long-term studies and the application of molecular techniques. Future research should aim to identify reasons underlying the lack of significant effects of semiochemicals, and testing different doses to optimise their use further in enhanced traps.</text>
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