Electrochemical double layer capacitors (EDLCs, also called supercapacitors or ultracapacitors) are high power density energy storage devices that operate through the separation of charge at the electrochemical interface between an electrode and a supporting electrolyte. Numerous types of carbon materials with high surface area and internal porosity, such as activated carbon, carbon fabrics, nanotubes, and reduced graphene oxide have been studied as electrode materials. Electrolytes such as aqueous alkaline and acid solutions usually give high capacitance, while organic and ionic liquids provide a wider operation voltage. Graphene, due to its high theoretical surface area of 2630 m2/g, good electrical conductivity, and relatively low density, is being studied as an electrode material in EDLCs. The objective of this dissertation is thus to study effective methods for synthesis of graphene-based materials, and to investigate their behavior in EDLCs. This work explored microwave assisted synthesis of graphite oxide (‘MEGO’, prepared in less than one minute by irradiation of graphite oxide by microwave). This material was further chemically activated to obtain a unique carbon material, activated microwave exfoliated graphite oxide (‘a-MEGO’) with specific surface areas up to 3100 m2/g. Gas adsorption measurements were used to study the specific surface area and porosity of a set of a-MEGO samples, which were also studied by scanning electron microscopy (SEM) and transmission electron microscopy (TEM) for their structure, and by combustion analysis (i.e., elemental analysis) and X-ray photoelectron spectroscopy (XPS) to understand their elemental composition. Cyclic voltammetry (CV), galvanostatic charge/discharge, and frequency response, tests were done in order to study the performance of these new carbon materials as electrodes in both aqueous and organic electrolytes in a two electrode cell set up. / text

Carbon-carbon bonds are ubiquitous in synthetic chemistry and constitute the skeletal backbone of a significant number of compounds. Utilizing transition metal mediated catalysis, a wide array of fused and spirocyclic ring systems containing diverse functionalization were accessed. These investigations provide unique ways to prepare carbon frameworks that are otherwise nontrivial to construct using classical approaches. The derivatives were rapidly accessed through optimized methods. / text

This research examined a heat transfer model to predict the activation time of a concealed sprinkler. Concealed sprinklers consist of two stages of activation. They include the release of cover plates from a recess housing and the breakage of the glass bulbs or melting of the solder links. The research analysis is divided into two sections. The first section includes the prediction of cover plate activation time (stage one) and the second section includes the prediction of glass bulb activation time (stage two). Each prediction result is compared with the experimental data conducted by Annable (2006) and Yu (2007). A lumped heat capacity method is introduced to predict the activation time of the cover plate. This method has been used for predicting the activation time of a standard pendent exposed sprinkler. It is reasonable to apply this method by assuming they are flush with the ceiling. The analysis results are compared based on the percentage of predicted and measured uncertainties. A recommendation is provided for which method is appropriate to apply to predicting the cover plate activation time. The proposed of using FDS5 simulations is to simulate the heat transfer to the sensing element (glass bulb only) within the recessed housing. The constructed simulation models comprises of ceiling within a compartment. The simulations of various sprinkler heads are performed to investigate any parameters that can potentially affect the activation time of the sprinklers. To simulate the glass bulb, combined thermal properties including glass and glycerine are modified to account for the differences in mass. Prior to stage two analysis, the FDS5 simulation was tested to predict the activation time of a standard pendent exposed sprinkler. The results showed positive progress to carry onto the next analysis. In stage two analysis, the simulations are constructed with and without the presence of vent holes within the recess housing. The combined activation time for concealed sprinklers show lack of solid predictions compared to the experimental data especially Yu experimental data.

Thesis (Ph. D.)--University of Delaware, 2008. / Principal faculty advisor: Charles G. Riordan, Dept. of Chemistry & Biochemistry. Includes bibliographical references.

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Macrophages are mononuclear phagocytic cells that have diverse roles within the body. Tissue specific macrophages, e.g. Kupffer cells, microglia and osteoclasts, have roles in tissue homeostasis, while circulating macrophages play an important role in the innate immune system. Macrophages detect the presence of pathogen associated molecular patterns (PAMPs) via a range of receptors known collectively as pathogen recognition receptors (PRRs). Detection of pathogens causes the macrophages to become ‘activated,’ during which the macrophages undergo extreme morphological and translational changes that enable the pathogen to be neutralised and other immune system components to be recruited. Macrophage activation must be carefully regulated and promptly resolved, as chronic inflammation is damaging to the host. MicroRNAs have emerged as one mechanism by which activation is regulated. MicroRNAs are small, non-coding pieces of RNA that function as a post-transcriptional regulatory mechanism. Their action is exerted through binding with a complementary region in the 3’ untranslated region (3’UTR) of the target mRNA. This binding, facilitated by the ribonuclear protein complex RISC, prevents successful translation of the mRNA into its protein product. MicroRNAs have been shown to function across species, throughout development and during the adult life-span. In the immune system, microRNAs are known to be required for correct formation of germinal centres and normal development of B- and T-cells. MicroRNAs have also been shown to be differentially regulated during macrophage activation with different stimuli. In particular, miR-155, miR-146a and miR-21 are associated with macrophage activation by lipopolysaccharide (LPS). The objective of this work was to further understand the role of microRNAs during macrophage activation with LPS. Two approaches were adopted. Firstly, the regulation of individual microRNAs in LPS-activated bone marrow derived macrophages (BMDMs) was characterised by the use of illumina small RNA sequencing. Secondly, the requirement of the global microRNA population during macrophage biology was investigated through the use of DGCR8 and Dicer knockout systems. In keeping with the large number of changes reported in mRNA translation upon activation, expression of >400 microRNAs were found to be differentially regulated by exposure to LPS. Twelve of these microRNAs were chosen for further study (miR- 142-3p, -146a, -15b, -155, -16, -191, -21, -27b, -30b, -322-5p, -378 and -7a). Individual knock-down of these microRNAs in the RAW264.7 macrophage-like cell line mostly demonstrated subtle, rather than dramatic changes to the activation marker genes studied by RT-QPCR analysis. However, knock-down of miR-146a, -15b, - 155 and -191 were able to significantly alter the expression of the activation marker genes (Tnf-a, Cox2, Cxcl2, Il-6 and Saa3). Interestingly, knock-down of miR-142-3p, miR-146a and miR-155 appeared to show cross-regulation of these microRNAs. The cell index (CI) data suggested that miR-191 and miR-21 influence adhesion in activated macrophages. Studies with the DGCR8 and Dicer knockout systems showed that the global microRNA population was required for successful differentiation of macrophages from embryonic stem cells, and for normal expression of differentiation and activation markers in bone marrow derived macrophages. Overall, these results show that dynamic expression of microRNAs is an integral part of the macrophage response to LPS.

The optimisation and adaptation of single hidden layer feed-forward neural networks employing radial basis activation functions (RBFNs) was investigated. Previous work on RBFNs has mainly focused on problems with large data sets. The training algorithms developed with large data sets prove unreliable for problems with a small number of observations, a situation frequently encountered in process engineering. The primary objective of this study was the development of efficient and reliable learning algorithms for the training of RJBFNs with small and noisy data sets. It was demonstrated that regularisation is essential in order to filter out the noise and prevent over-fitting. The selection of the appropriate level of regularisation, lambda*, with small data sets presents a major challenge. The leave-one-out cross validation technique was considered as a potential means for automatic selection of lambda*. The computational burden of selecting lambda* was significantly reduced by a novel application of the generalised singular value decomposition. The exact solution of the multivariate linear regularisation problem can be represented as a single hidden layer neural network, the Regularisation Network, with one neurone for each distinct exemplar. A new formula was developed for automatic selection of the regularisation level for a Regularisation Network with given non-linearities. It was shown that the performance of a Regularisation Network is critically dependent on the non-linear parameters of the activation function employed; a point which has received surprisingly little attention. It was demonstrated that a measure of the effective degrees of freedom df(lambda*,alpha) of a Regularisation Network can be used to select the appropriate width of the local radial basis functions, alpha, based on the data alone. The one-to-one correspondence between the number of exemplars and the number of hidden neurones of a Regularisation Network may prove computationally prohibitive. The remedy is to use a network with a smaller number of neurones, the Generalised Radial Basis Function Network (GRBFN). The training of a GRBFN ultimately settles down to a large-scale non-linear optimisation problem. A novel sequential back-fit algorithm was developed for training the GRBFNs, which enabled the optimisation to proceed one neurone at a time. The new algorithm was tested with very promising results and its application to a simple chemical engineering process was demonstrated In some applications the overall response is composed of sharp localised features superimposed on a gently varying global background. Existing multivariate regression techniques as well as conventional neural networks are aimed at filtering the noise and recovering the overall response. An initial attempt was made at developing an Adaptive GRBFN to separate the local and global features. An efficient algorithm was developed simply by insisting that all the activation functions which are responsible for capturing the global trend should lie in the null space of the differential operator generating the activation function of the kernel based neurones. It was demonstrated that the proposed algorithm performs extremely well in the absence of strong global input interactions.

Macrophages play a key role in maintaining the balance and efficiency of the immune response. TH2 cytokines IL-4 & IL-13, through shared IL-4Rα signalling, trigger a state of alternative activation in macrophages and also drive their proliferation. Alternatively activated macrophages (AAMΦ) are involved in the control of helminth infections and have also been implicated in tissue repair. However, TH2 weighted imbalance can result in inflammatory disorders such as asthma and fibrosis. Hence, macrophage responses must be tightly regulated. MicroRNAs, a short (~22nt) class of non-coding RNA, are one such immunomodulatory feedback mechanism that can regulate gene expression by targeting the 3’ UTR of mRNA resulting in destabilisation of the mRNA and/or inhibition of translation. With their ability for vast gene regulation, it was hypothesised that microRNAs could play a crucial role in the regulation of AAMΦ by targeting genes and pathways critical for their induction, maintenance & proliferation. Previously generated microarrays in the lab have allowed us to identify microRNAs differentially expressed in AAMΦ. In an effort to determine which microRNAs are genuinely associated with alternative activation, the first part of this project examined the expression profiles of ten shortlisted microRNA candidates under varying conditions of alternative activation, ranging from a reductionist in vitro IL-4/13 stimulation of macrophage cell lines to a complex in vivo TH2 mouse model of filarial infection. Profiling of microRNA expression under these conditions revealed that the expression of two IL-4Rα dependent microRNAs, namely miR-199b-5p and miR-378, along with another microRNA, miR-146, was highly regulated and consistently associated with alternative activation. The subsequent chapters of this thesis investigated the contribution of these microRNAs in regulating AAMΦ responses. Interestingly, we identified miR-199b-5p as being highly expressed in AAMΦ in vivo but not in vitro. Pathway analysis identified insulin signalling and other proliferative pathways such as PI3K/AKT as being highly targeted by miR-199b-5p. Overexpression of miR-199b-5p in RAW 264.7 cells resulted in a reduction in the rate of proliferation and a change in the levels of Insulin Receptor Substrate -1 (IRS-1), suggesting that miR-199b- 5p might regulate macrophage proliferation via insulin signalling. An alteration in the expression of YM-1 and RELM-α, markers characteristic of alternative activation, was also observed. MiR-199b-5p was successfully delivered to the lung and overexpressed in alternatively activated alveolar macrophages. No effect was observed on IL-4 induced proliferation, potentially due to the lack of significant insulin receptor and IRS-1 expression in alveolar macrophages. However, secreted levels of YM-1, but not RELM-α, were significantly reduced. MiR-378 is a microRNA that has previously been shown to be associated with AAMΦ through targeting of AKT-1; however, a direct influence of this microRNA on the regulation of this phenotype is yet to be determined. In this thesis, we have provided direct evidence of the impact of miR-378 deficiency on the regulation of AAMΦ and their responses using miR-378 KO mice. The ability of macrophages isolated from WT and KO animals to alternatively activate was studied in various systems both in vitro and in vivo. The influence of miR-378 deficiency on IL-4 induced proliferation was also addressed in vivo. Although the lack of miR-378 had no significant effect on IL-4 driven macrophage proliferation, results from this chapter support a role for miR-378 in the regulation of alternative activation through regulation of YM-1 and RELM-α expression. Lastly, to determine whether this regulation by miR-378 had functional consequences, we also utilised Litomosoides sigmodontis, a murine model of filarial infection. Due to experimental limitations, a concrete role for miR-378 in the context of infection could not be established. The final chapter of this thesis focuses on examining the role of miR-146 in the regulation of AAMΦ. MiR-146a is a highly studied microRNA that has previously been linked strongly to TH1 immune responses, especially classical activation of macrophages. However, a role for this microRNA in regulating AAMΦ is yet to be determined. Expression levels of miR-146a and miR-146b, the two isoforms of miR-146, were found to be differentially regulated upon alternative activation, with a decrease in miR-146a and increase in miR-146b expression in response to IL-4 both in vitro and in vivo. Based on this difference in expression and their known functions in suppressing excessive proinflammatory responses, it was hypothesised that miR-146a/b serve to regulate proinflammatory molecules (and signals) in a fine balance to allow efficient alternative activation to occur. However, the high sequence similarity between these two isoforms proved to be a hindrance to test this hypothesis in terms of shared targets. Therefore, the latter half of this chapter was devoted to the generation and optimisation of a stable cell line for the identification of microRNA targets using CLASH (cross-linking, ligation and sequencing of hybrids). In summary, the results from this thesis provide an important foundation for further studies of the functional role of microRNAs in the regulation of AAMΦ. Firstly, it characterises the expression profiles of ten different microRNAs differentially expressed during alternative activation. Secondly, for the first time, it identifies a role for miR-199b- 5p in the regulation of macrophage proliferation and activation. Thirdly, this thesis has provided direct evidence for the effect of miR-378 deficiency on AAMΦ responses. Lastly, it identifies and demonstrates the robust differential expression of two separate isoforms of the same microRNA (miR-146) under varying conditions of alternative activation, whose functional properties as regulators of the AAMΦ phenotype await further investigation.