3D Ionospheric Effects on HF Propagation and Heating

The thesis uses a three-dimensional, first-principles model of the ionosphere in combination with High Frequency (HF) raytracing model to address key topics related to the physics of HF propagation and artificial ionospheric heating. In particular: 1. Explores the effect of the ubiquitous electron density gradients caused by Medium Scale Traveling Ionospheric Disturbances (MSTIDs) on high-angle of incidence HF radio wave propagation. Previous studies neglected the all-important presence of horizontal gradients in both the cross- and down-range directions, which refract the HF waves, significantly changing their path through the ionosphere. The physics-based ionosphere model SAMI3/ESF is used to generate a self-consistently evolving MSTID that allows for the examination of the spatio-temporal progression of the HF radio waves in the ionosphere. 2. Tests the potential and determines engineering requirements for ground- based high power HF heaters to trigger and control the evolution of Equatorial Spread F (ESF). Interference from ESF on radio wave propagation through the ionosphere remains a critical issue on HF systems reliability. Artificial HF heating has been shown to create plasma density cavities in the ionosphere similar to those that may trigger ESF bubbles. The work explores whether HF heating may trigger or control ESF bubbles. 3. Uses the combined ionosphere and HF raytracing models to create the first self-consistent HF Heating model. This model is utilized to simulate results from an Arecibo experiment and to provide understanding of the physical mechanism behind observed phenomena. The insights gained provide engineering guidance for new artificial heaters that are being built for use in low to middle latitude regions. In accomplishing the above topics: (i) I generated a model MSTID using the SAMI3/ESF code, and used a raytrace model to examine the effects of the MSTID gradients on radio wave propagation observables; (ii) I implemented a three- dimensional HF heating model in SAMI3/ESF and used the model to determine whether HF heating could artificially generate an ESF bubble; (iii) I created the first self-consistent model for artificial HF heating using the SAMI3/ESF ionosphere model and the MoJo raytrace model and ran a series of simulations that successfully modeled the results of early artificial heating experiments at Arecibo.

PREVALENCE, ISOLATION, AND GENETIC CHARACTERIZATION OF TOXOPLASMA GONDII IN CHICKEN

Toxoplasma gondii (T. gondii) is one of the most successful parasites in the world because of its capability of infecting all warm-blooded animals. It has been reported that up to one third of the world population is infected with this parasite. Chickens are recognized as good indicators of the environmental T. gondii oocysts contamination because they obtain food from the ground. Thus, the prevalence of T. gondii in chicken provides more insight related to public health concern from T. gondii. Previous studies have shown a high isolation rate from free-range chickens raised in the United States. The objectives of this study were to evaluate the microbial safety and infection of T. gondii in free-range chickens available at the grocery stores and farms for the consumers to purchase and genotype T. gondii isolates. Chicken hearts were obtained from the local markets and also from the farms raising free- range chickens. Heart juice was obtained from cavities of each heart. Modified agglutination test (MAT) for detection of IgG antibodies was conducted with those heart juice samples with titer of 1:5, 1:25, and 1: 100. Each seropositive heart was pepsin digested and bioassayed into a group of two mice. Six weeks post inoculation (p.i.) mice were bled and euthanized to examine the infection of T. gondii. In addition, multiplex multilocus nested PCR-RFLP was performed to genetically characterize T. gondii isolates with eleven PCR-RFLP markers including SAG1, SAG2, altSAT2, SAG3, BTUB, GRA6, c22-8, c29-a, L358, PK1, and Apico. One hundred fifty from a total of 997 samples (15.0%) were found seropositive for T. gondii. No viable T. gondii was isolated from chicken hearts that were sampled. A total of four genotypes were identified, including one new genotype and three previously identified genotypes. The results suggest that T. gondii oocysts could present in the environment and infect the food animals. T. gondii prevalence in chicken hearts could reflect the environmental contamination of T. gondii and prevalence information can be used to manage T. gondii infection risk.