Background Over the past few years, results refuting the causal role of HDL cholesterol (HDL-c) have been reported by a number of randomized controlled trials (RCTs) testing different ways of modifying HDL-c. Results from Mendelian randomization studies showed no difference in cardiovascular disease (CVD) risk among individuals with genetically different serum levels of HDL-c. The causal role of HDL-c in CVD is thus uncertain, raising the question as to whether HDL-c is a worthwhile target of public health interventions and medical treatments. The objective of these meta-analyses is to explore whether changes in HDL-c are symptomatic of prior causes instead of being a causal factor for CVD by first identifying two possible candidates—androgens and zinc—for the investigation of associations. Experimental evidence would then be investigated for whether either of them might underlie (i.e. confound) the observed association of HDL-c with CVD risk factors. Methods This study followed the PRISMA statement. A literature search was conducted through PUBMED, MEDLINE, EMBASE, and Cochrane Central Register of Controlled Trials. Keywords of “androgens/testosterone”, “HDL”, “high-density lipoprotein”, “lipid”, “cholesterol”, “lipoprotein”, “CVD”, “cardiovascular”, “heart”, “cardiovascular disease” were used with the search period limited to January 2000 – June 2013 with only human RCTs conducted and reported in English. For locating studies concerning the effect of zinc, the keyword “zinc” was used instead of “androgens/testosterone”. Inclusion and exclusion criteria were applied during study screening and selection. The Cochrane Collaboration’s tool for assessing risk of bias was used for quality assessment. Heterogeneity across included studies was measured using I2 statistic and publication bias was assessed via funnel plots and the Begg’s Rank Correlation test. The “trim and fill” method was also used for the correction of funnel plot asymmetry. The meta-analyses were performed using The Comprehensive R Archive Network Program (Version R 3.0.0), using the function “metacont” from the “meta” package, where the pooled intervention effects were displayed using forest plots, with inverse variance weighting and random effects model. Results A total of twelve and ten RCTs were identified and included in the meta-analyses of androgens and zinc respectively. There were no consistent beneficial effects of androgens on CVD observed, as the results from CVD surrogate markers were inconclusive, despite showing significant overall reduction in HDL-c levels. However, as current findings suggest that lower HDL-c levels are associated with higher cardiovascular risk, it is possible that androgens may increase that risk by influencing HDL metabolism. On the other hand, zinc was associated with healthier CVD profile. This supports the notion of zinc as a cardioprotective agent. Nonetheless, conclusion failed to be drawn concerning the effect of zinc on HDL-c as there were contradictory results across included studies. Conclusion The meta-analyses suggest that androgens could be a factor which lowers HDL-c and thus increases cardiovascular risk, rather than HDL-c being the direct causative agent. This research may serve as a template for more extensive search for other potentially better candidates in this new study focus in cardiovascular epidemiology. / published_or_final_version / Community Medicine / Master / Master of Public Health

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Static measures such as density and entropy, which are intimately connected to structure, have featured prominently in modern thinking about the dynamics of the liquid state. In this dissertation, we explore the connections between self-diffusivity, density, available space, and excess entropy in two non-trivial problems in liquid state theory, confined and supercooled liquids. We present exact simulation data for the relationship between self-diffusivity and excess entropy for a wide range of simple of simple fluids (i.e. hard-sphere, Lennard-Jones and square-well) confined to pores with a variety of different sizes and fluid-wall interations. Our main finding is that, at a given temperature, self-diffusivity of the confined fluids collapses onto the bulk behavior when plotted versus excess entropy. In other words, the only information required to "predict" the implications of confinement for the single-particle dynamics is the bulk fluid behavior at a given temperature and the excess entropy of the confined fluid. This should prove practically useful given that the bulk behavior is well known for these fluid systems, and the excess entropy of the confined fluids can be readily estimated from classical density functional theory. We also show that the self-diffusivity of the confined fluids approximately collapses onto the data for the corresponding bulk fluid when plotted versus the average packing fraction (which is based on total, rather than center accessible volume). For continuous interaction potentials such as Lennard-Jones, calculation of effective packing fraction requires knowledge of both the number density of the fluid and a temperature-dependent Boltzmann diameter associated with the repulsive part of the interparticle interactions. We suggest a way to calculate this effective diameter, which to a very good approximation, collapse the temperature- and density-dependent data for the self-diffusivity of the bulk Lennard-Jones fluid onto hard-sphere fluid data plotted versus the fluid's effective packing fraction. Finally, we found that the self-diffusivities of several model systems in their supercooled state also scale exponentially not only with the excess entropy, but also with the two-body contribution to the excess entropy obtained from the pair correlation function of the fluid. The latter observation is particularly interesting because it provides direct evidence of a quantitative link between the dynamics and the average structural order of supercooled liquids. Whether such a connection could indeed be discovered is part of a long-standing question in the study of liquids. / text

The present work is mostly focused on theoretical study of multiferroics and magnetic semiconductors within the framework of density functional theory (DFT). We studied Bi₂NiMnO₆ which was recently synthesized as a heavily distorted double perovskite with four formula units in a monoclinic unit cell. The calculated GGA and GGA+U magnetizations per formula unit were 4.92 and 4.99 [mu]B and the calculated ferroelectric polarizations were 16.83 and 16.63 [mu]C cm⁻². We also present the results of completely relaxed electronic structure calculations for multiferroic LaMnO₃/BaTiO₃ structure which was built by joining a slab of magnetic LaMnO₃ with a slab of ferroelectric BaTiO₃. The study of Mn doped GeTe, which is a diluted magnetic semiconductor (DMS), shows the net magnetization as a function of doping and holes concentration. In addition, we present a study of ferroelectric GeTe as a function of applied pressure and the interesting properties exhibited by Si(001)/Si(110) junction which was experimentally built using hybrid orientation technology (HOT).

High-density lipoprotein (HDL) with its cardio- protective effects has provided remarkable optimism to the ever-increasing incidences of coronary artery disease. Therefore, the aim of this randomized, comparative, research trial was to determine whether endurance exercise training, weight training and/or a combination of aerobic and weight training can be utilized in the management of high-density lipoprotein cholesterol (HDL-C). Subsequent to the 16-week intervention period, dependant t-Tests revealed that the non-exercising and weight training groups demonstrated non- significant mean 1.3% (p = 0.754) and 11.1% (p = 0.069) increases in fasting serum HDL-C, respectively. Conversely, there was a significant increase in HDL-C following the 16 weeks of endurance training (p = 0.003) and combination training (p = 0.005) (22.4% and 37.9%, respectively). Further, Spearman’s rho indicated no correlations between HDL-C and BMI (r = -0.131), percentage body fat (r = - 0.141), cholesterol intake (r = - 0.026) and total fat intake (r = - 0.239). The absence of changes in these inter-correlations indicated that changes in these parameters had no effect on the HDL-C. On the contrary, moderate correlations were established between HDL-C and number of cigarettes smoked daily (r = - 0.344) and intake of saturated fat (r = - 0.317) indicating that exercise effect on these variables could have indirectly contributed significantly in altering HDL- C in the endurance and combination training groups. As such, endurance and combination training can be utilized as an effective method in the management of HDL-C in sedentary male smokers.

Studies have shown that hypercholesterolemia is a risk for cardiovascular disease; however, some normocholesterolemic individuals still develop coronary atherosclerosis. This project was undertaken to investigate the association of abnormalities of low density lipoprotein (LDL) metabolism, in the absence of hypercholesterolemia, with the development of coronary artery disease (CAD). Mononuclear leukocytes (MNL), HL-60 cells and 1,25-dihydroxyvitamin D₃-induced HL-60 macrophages were used as model systems to study the effect of an altered LDL composition on cellular lipoprotein and sterol metabolism. LDL and MNL were isolated from patients with and without CAD. The mean rate of LDL degradation was 1.7-fold higher in CAD-MNL than in control-MNL (P < 0.05), independent of the LDL source. The increased LDL degradation rate in CAD-MNL appeared to be due to an increased LDL receptor activity of CAD-MNL and not to an increased CAD-LDL interaction with the receptor since LDL isolated from patients with and without CAD had similar in vitro degradation rates by HL-60 cells and D₃-induced HL-60 macrophages. LDL from CAD patients (CAD-LDL) contained significantly less cholesteryl ester per particle than LDL from control subjects (Control-LDL). The ability of CAD-LDL and Control-LDL to regulate sterol and lipoprotein metabolism was compared in HL-60 cells. The results indicate that CAD-LDL exhibited reduced abilities to suppress receptor-mediated LDL degradation and to activate acyl-CoA:cholesterol acyltransferase as compared to Control-LDL. There was no significant difference in the rate of sterol synthesis between cells treated with CAD-LDL and Control-LDL. The data support the hypothesis that cholesteryl ester-poor CAD-LDL exhibits a decreased ability to down-regulate LDL receptor activity which could in part account for the observed increase in LDL degradation by MNL from CAD patients. A noncompetitive enzyme-linked immunosorbent assay (ELISA) was developed to measure plasma apolipoproteins (apo) A-I and B. The results indicate that a reduced plasma apo A-I level was associated with CAD patients even if there were no significant differences in the levels of high density lipoprotein cholesterol when compared with individuals without CAD.

Clusters of galaxies are particularly interesting astrophysical systems, are the largest bound structures in the Universe, and contain fair sample of cosmic ingredients. Studies of cluster abundance as a function of mass and redshift were critical in establishing the standard model of cosmology. This dissertation presents results from X-ray imaging of massive distant (M > 10^14 M; 0:3 < z < 1.2) clusters, found via X-ray emission or Sunyaev-Zeldovich eff ect. This is the world's largest sample of massive galaxy clusters. We explore the radial and azimuthal profi les of the X-ray emitting gas and show that clusters are self-similar objects: their internal structure is largely independent of the cluster's mass or redshift, and the fractions of di fferent types of clusters does not change with redshift. We also present a new statistical technique for measuring a cluster's deviations from a perfect axisymmetric shape, which is especially useful in the case of low photon count observations of distant clusters. / Physics

The objective of this thesis is to study the crystal structures and electronic properties of solids at high pressure using state-of-the-art electronic structure computational methods. The thesis is divided into two main sections. The first part is to examine the performance and reliability of several current density functionals in the description of the electronic structures of small band gap materials and strongly correlated systems. The second part is to compare and evaluate two recently proposed first-principles methods for the prediction of stable structures of solids at high pressure. To accomplish the first goal, first-principle electronic structure calculations employing density functional theory (DFT) and several “correlation corrected” functionals calculations were used to investigate the properties of solid AlH3 and EuO at high pressure. The primary reason to study AlH3 is to resolve a discrepancy between previously predicted superconductivity behavior at 110 GPa but was not observed in experimental resistance measurements. The key to resolve the discrepancy is an accurate calculation of the valence and conduction band energies. The results shows that the Fermi surface is modified by the “improved” functionals over the previous calculations using “standard” gradient corrected functional. These changes in the Fermi surface topology removed the possibility of nesting of the electronic bands, therefore, solid AlH3 above 100 GPa is a poor metal instead of a superconductor. In the second system, we have studied EuO with highly localized electrons in the Eu 4f orbitals. A particular interest in this compound is the report of an anomalous isostructural phase transition with a significant volume reduction at 35-40 GPa and the relationship with the electronic state of Eu at high pressure. Using the Hubbard on-site repulsion model (LDA+U), we successfully predicted the insulator  metal transition of EuO at 12 GPa and the trend in the Mössbauer isomer shifts. However, the isostructural transition was not reproduced. The U on-site repulsion to localized Eu 4f orbtials helped to ameliorate some deficiencies of the PBE functional and improved the agreement with experimental observations but not all the properties were correctly reproduced. The second objective of this investigation is to predict energetically stable crystalline structures at high pressure. The reliability and relative efficiency of two recently proposed structure prediction methods, viz, Particle Swarm Optimization (PSO) and the Genetic Algorithm (GA) were critically examined. We applied the techniques to two separate systems. The first system is solid CS2. The motivation is that this compound was recently found to be a superconductor with a critical temperature of 6 K from 60 – 120 GPa. However, no crystalline structure was found by experiment in this pressure range. Our calculations suggest the energetic favorable structures contain segregated regions of carbon and sulfur atoms. The sulfur atoms adopt a planar closed pack arrangement forming 2D square or hexagonal networks and the carbon atoms tend to form hexagonal rings. A global minimum crystalline structure with structural features observed in the amorphous structure was found and shown to be superconductive. In the second case, we studied the possibility on the existence of Xe-halides (XeHn (H=Cl, Br and I, n = 1, 2 and 4)) compounds below 60 GPa. We reported the stability, crystal and electronic structures, vibrational and optical spectra of a number of stoichiometric crystalline polymorphs. We found that only XeCl and XeCl2 form thermodynamically stable compounds at pressure exceeding 60 GPa. A stable cubic fcc structure of XeBr2 was found to be a superconductor with critical temperature of 1.4 K. From these studies, we found both merits and shortcomings with the two structural prediction approaches. In the end, we proposed a hybrid approach to assure the same stable structure is predicted from both computational strategies.

The ability to identify and define factors which affect the abundance of marine species has been a primary goal of many ecologists. The need to accurately quantify the relationship between an organism and its environment is of critical importance in cases where that organism is the object of commercial harvest and tied to the economic well being of communities. This is especially evident for communities located along the Pacific coast of the Baja California peninsula where local fishing cooperative and their associated communities are dependent on the continuing successful harvest of a limited number of marine species, one of these being the marine gastropod Megastraea undosa (Wood, 1828). I conducted a multi-scale observational study investigating the effects of scale and selected local environmental and regional habitat characteristics of subtidal rocky reefs on the density of M. undosa. The study showed that M. undosa density varied significantly at two scales: quadrat (m2) and reef (100s m2). At the reef level, area and percent total cover were found to have a significant positive relationship with M. undosa density. No measured variable showed a significant association to M. undosa density at the quadrat level. Results suggest that both local and regional factors combine to affect M. undosa density and that their impacts on M. undosa density warrants further study. / text