Optimizing genetic algorithm strategies for evolving networks

This paper explores the use of genetic algorithms for the design of networks, where the demands on the network fluctuate in time. For varying network constraints, we find the best network using the standard genetic algorithm operators such as inversion, mutation and crossover. We also examine how the choice of genetic algorithm operators affects the quality of the best network found. Such networks typically contain redundancy in servers, where several servers perform the same task and pleiotropy, where servers perform multiple tasks. We explore this trade-off between pleiotropy versus redundancy on the cost versus reliability as a measure of the quality of the network.Comment: 9 pages, 5 figure

Techniques for noise removal from EEG, EOG and air flow signals in sleep patients

Noise is present in the wide variety of signals obtained from sleep patients. This noise comes from a number of sources, from presence of extraneous signals to adjustments in signal amplification and shot noise in the circuits used for data collection. The noise needs to be removed in order to maximize the information gained about the patient using both manual and automatic analysis of the signals. Here we evaluate a number of new techniques for removal of that noise, and the associated problem of separating the original signal sources.Comment: 9 pages, 3 figure

Evaluation of over the counter medication knowledge and literacy in middle school and high school students

Over the counter (OTC) medications are commonly utilized by the public, including adolescents, to self-treat many conditions. Unfortunately, these products can be dangerous if not used safely and appropriately. Adolescents between 13 and 19 years old composed 7.32 percent of the human exposure cases reported to U.S. poison control centers in 2014. Among these cases, there were 53 fatalities involving pharmaceuticals. This is an age range where medication use becomes more independent and the education they receive throughout the school curriculum is unknown. This study was designed to evaluate OTC medication knowledge and literacy among middle and high school students

Fluctuations and noise in cancer development

This paper explores fluctuations and noise in various facets of cancer development. The three areas of particular focus are the stochastic progression of cells to cancer, fluctuations of the tumor size during treatment, and noise in cancer cell signalling. We explore the stochastic dynamics of tumor growth and response to treatment using a Markov model, and fluctutions in tumor size in response to treatment using partial differential equations. We also explore noise within gene networks in cancer cells, and noise in inter-cell signalling.Comment: 11 pages, 6 figure

Heterobimetallic Ruthenium Complexes Containing Ferrocene as Anti-Cancer Agents

This thesis details the synthesis and characterisation of ruthenium metal complexes containing functionalised ferrocene β-diketonate ligands. The anticancer and antimicrobial potential of these complexes has been explored and structural activity relationships investigated through further mechanistic investigations. A library of functionalised ferrocene β diketonate ligands were synthesised and used in the formation of two libraries of ruthenium complexes. The first series of complexes consist of organometallic ruthenium(II) arene complexes and the second series comprising of ruthenium(II) bis-bipyridyl coordination complexes. Detailed synthetic routes are outlined and all complexes are fully characterised by 1H NMR spectroscopy, 13C [1H] NMR spectroscopy, mass spectrometry and elemental analysis. X-ray crystallographic data was obtained when possible. The complexes were screened for their activity against one healthy and two cancerous cell lines; the ruthenium arene complexes were found to be highly selective towards the cancerous cell lines while the ruthenium bis-bipyridyl complexes were found to possess potent toxicity towards all cell lines. Selected complexes from each series were then studied in a low oxygen environment which caused a reduction in the cytotoxicity of the complexes. The antibacterial and antifungal properties of the two series of ruthenium complexes has also been assessed. Mechanistic studies have been conducted on selected complexes in the form of hydrolysis, hydrophobicity, biomembrane CV and comet assay in order to deduce a possible mechanism of action and mode of transport of these complexes

Associations of Abdominal Muscle Area and Radiodensity with Adiponectin and Leptin: The Multiethnic Study of Atherosclerosis.

ObjectiveThis study examined the associations of muscle area and radiodensity with adiponectin and leptin.MethodsA total of 1,944 participants who enrolled in the Multi-Ethnic Study of Atherosclerosis underwent computed tomography to quantify body composition and measurements of adiponectin, leptin, interleukin-6, C-reactive protein, and resistin.ResultsThe mean age and BMI of participants were 64.7 years and 28.1 kg/m2 and 49% were female. With adjustment for age, gender, race/ethnicity, traditional cardiovascular disease risk factors, inflammatory biomarkers, physical activity, and sedentary behavior, a 1-SD increment in total abdominal, stability, and locomotor muscle area was associated with a 19%, 17%, and 12% lower adiponectin level, respectively (P < 0.01 for all) but not leptin (P > 0.05). Muscle radiodensity was more robustly associated with adiponectin and leptin in the multivariable linear regression models. That is, with full adjustment for all covariates, a 1-SD increment in total abdominal, stability, and locomotor muscle radiodensity was associated with a 31%, 31%, and 18% lower adiponectin level (P < 0.01 for all) and a 6.7%, 4.6%, and 8.1% higher leptin level (P < 0.05 for all), respectively.ConclusionsThe data suggest that increases in muscle area and radiodensity may have positive impacts on chronic inflammation and, in turn, reduce the risk of cardiometabolic disease