Sensitive and accurate detection methods are critical for monitoring and managing the spread of aquatic invasive species, such as invasive Silver Carp (SC; Hypophthalmichthys molitrix) and Bighead Carp (BH; Hypophthalmichthys nobilis) near the Great Lakes. A new detection tool called environmental DNA (eDNA) sampling, the collection and screening of water samples for the presence of the target species’ DNA, promises improved detection sensitivity compared to conventional surveillance methods. However, the application of eDNA sampling for invasive species management has been challenging due to the potential of false positives, from detecting species’ eDNA in the absence of live organisms. In this dissertation, I study the sources of error and uncertainty in eDNA sampling and develop statistical tools to show how eDNA sampling should be utilized for monitoring and managing invasive SC and BH in the United States. In chapter 2, I investigate the environmental and hydrologic variables, e.g. reverse flow, that may be contributing to positive eDNA sampling results upstream of the electric fish dispersal barrier in the Chicago Area Waterway System (CAWS), where live SC are not expected to be present. I used a beta-binomial regression model, which showed that reverse flow volume across the barrier has a statistically significant positive relationship with the probability of SC eDNA detection upstream of the barrier from 2009 to 2012 while other covariates, such as water temperature, season, chlorophyll concentration, do not. This is a potential alternative explanation for why SC eDNA has been detected upstream of the barrier but intact SC have not. In chapter 3, I develop and parameterize a statistical model to evaluate how changes made to the US Fish and Wildlife Service (USFWS)’s eDNA sampling protocols for invasive BH and SC monitoring from 2013 to 2015 have influenced their sensitivity. The model shows that changes to the protocol have caused the sensitivity to fluctuate. Overall, when assuming that eDNA is randomly distributed, the sensitivity of the current protocol is higher for BH eDNA detection and similar for SC eDNA detection compared to the original protocol used from 2009-2012. When assuming that eDNA is clumped, the sensitivity of the current protocol is slightly higher for BH eDNA detection but worse for SC eDNA detection. In chapter 4, I apply the model developed in chapter 3 to estimate the BH and SC eDNA concentration distributions in two pools of the Illinois River where BH and SC are considered to be present, one pool where they are absent, and upstream of the electric barrier in the CAWS given eDNA sampling data and knowledge of the eDNA sampling protocol used in 2014. The results show that the estimated mean eDNA concentrations in the Illinois River are highest in the invaded pools (La Grange; Marseilles) and are lower in the uninvaded pool (Brandon Road). The estimated eDNA concentrations in the CAWS are much lower compared to the concentrations in the Marseilles pool, which indicates that the few eDNA detections in the CAWS (3% of samples positive for SC and 0.4% samples positive for BH) do not signal the presence of live BH or SC. The model shows that >50% samples positive for BH or SC eDNA are needed to infer AC presence in the CAWS, i.e., that the estimated concentrations are similar to what is found in the Marseilles pool. Finally, in chapter 5, I develop a decision tree model to evaluate the value of information that monitoring provides for making decisions about BH and SC prevention strategies near the Great Lakes. The optimal prevention strategy is dependent on prior beliefs about the expected damage of AC invasion, the probability of invasion, and whether or not BH and SC have already invaded the Great Lakes (which is informed by monitoring). Given no monitoring, the optimal strategy is to stay with the status quo of operating electric barriers in the CAWS for low probabilities of invasion and low expected invasion costs. However, if the probability of invasion is greater than 30% and the cost of invasion is greater than $100 million a year, the optimal strategy changes to installing an additional barrier in the Brandon Road pool. Greater risk-aversion (i.e., aversion to monetary losses) causes less prevention (e.g., status quo instead of additional barriers) to be preferred. Given monitoring, the model shows that monitoring provides value for making this decision, only if the monitoring tool has perfect specificity (false positive rate = 0%).

Intrusion systems have been the subject of considerable research during the past 33 years, since the original work of Anderson. Much has been published attempting to improve their performance using advanced data processing techniques including neural nets, statistical pattern recognition and genetic algorithms. Whilst some significant improvements have been achieved they are often the result of assumptions that are difficult to justify and comparing performance between different research groups is difficult. The thesis develops a new approach to defining performance focussed on comparing intrusion systems and technologies. A new taxonomy is proposed in which the type of output and the data scale over which an intrusion system operates is used for classification. The inconsistencies and inadequacies of existing definitions of detection are examined and five new intrusion levels are proposed from analogy with other detection-based technologies. These levels are known as detection, recognition, identification, confirmation and prosecution, each representing an increase in the information output from, and functionality of, the intrusion system. These levels are contrasted over four physical data scales, from application/host through to enterprise networks, introducing and developing the concept of a footprint as a pictorial representation of the scope of an intrusion system. An intrusion is now defined as “an activity that leads to the violation of the security policy of a computer system”. Five different intrusion technologies are illustrated using the footprint with current challenges also shown to stimulate further research. Integrity in the presence of mixed trust data streams at the highest intrusion level is identified as particularly challenging. Two metrics new to intrusion systems are defined to quantify performance and further aid comparison. Sensitivity is introduced to define basic detectability of an attack in terms of a single parameter, rather than the usual four currently in use. Selectivity is used to describe the ability of an intrusion system to discriminate between attack types. These metrics are quantified experimentally for network intrusion using the DARPA 1999 dataset and SNORT. Only nine of the 58 attack types present were detected with sensitivities in excess of 12dB indicating that detection performance of the attack types present in this dataset remains a challenge. The measured selectivity was also poor indicting that only three of the attack types could be confidently distinguished. The highest value of selectivity was 3.52, significantly lower than the theoretical limit of 5.83 for the evaluated system. Options for improving selectivity and sensitivity through additional measurements are examined.

Resonators are one of the most important parts of electronic products. They provide a stable reference frequency to ensure the operation of these products. Recently, the electronic products have the trend of miniaturization, which rendered the size reduction of the resonators as well [1]. Better design of the resonators relies on a better understanding of the crystals' nonlinear behavior [2]. The nonlinearities affect the quality factor and acoustic behavior of MEMS (Micro-Electro-Mechanical-System) and nano-structured resonators and filters [3]. Among these nonlinear effects, Drivel Level Dependence (DLD), which describes the instability of the resonator frequency due to voltage level and/or power density, is an urgent problem for miniaturized resonators [2]. Langasite and GaPO4 are new promising piezoelectric material. Resonators made from these new materials have superior performance such as good frequency-temperature characteristics, and low acoustic loss [2]. In this thesis, experimental measurements of drive level dependence of langasite resonators with different configurations (plano-plano, single bevel, and double bevel) are reported. The drive level dependence of GaPO4 resonators are reported as well for the purpose of comparison. The results show that the resonator configuration affects the DLD of the langasite resonator. Experiments for DLD at elevated temperature are also performed, and it was found that the temperature also affects the DLD of the langasite resonator.

The current investigation examined the singular and interactive effects of anxiety sensitivity (AS) and perceived control over anxiety-related events in the prediction of panic symptoms using a biological challenge paradigm. Two hundred and twenty-nine participants (mage = 21.02, SD = 7.55, 124 females) were recruited from the greater Burlington, Vermont community. Results indicated that pre-challenge AS, but not perceived control over anxiety-related events, significantly predicted post-challenge panic attack symptoms, anxiety focused on bodily sensations, and interest in returning for another challenge (behavioral avoidance). There were no interactive effects between AS and perceived control over anxiety-related events. For the physiological measures, pre-challenge AS was predictive of change in skin conductance level (pre-post challenge), and pre-challenge perceived control over anxiety-related events was predictive of change in respiration rate (breathes per minute). No significant effects were evident for heart rate and there were no significant interactive effects between AS and perceived control over anxiety-related events for any of the physiological variables. Findings of the investigation are discussed in relation to the role of AS and perceived control over anxiety-related events in terms of vulnerability for panic psychopathology.

The aim of the present investigation was to evaluate the moderating role of the physical concerns domain of anxiety sensitivity (AS) in the relation between smoking rate and panic vulnerability variables, both concurrently and prospectively, among a community-based sample of 125 daily smokers (60 females; Mage = 26.02 years, SD = 10.98). As hypothesized, there was a significant interaction between AS Physical Concerns and smoking rate in relation to agoraphobic avoidance, such that at higher levels of AS Physical Concerns and higher smoking rates, there was a risk for increased agoraphobic avoidance (3.6% unique variance). Contrary to prediction, however, the interaction between AS Physical Concerns and smoking rate did not significantly predict the tendency to catastrophize about bodily sensations, body vigilance, or lifetime history of panic attacks. In regard to the prospective analyses, there was a significant interaction between AS Physical Concerns and smoking rate in relation to Time 2 anticipatory anxiety, such that at higher levels of AS Physical Concerns and higher rates of smoking, there was a significant risk for an increase in anticipatory anxiety over the three-month follow-up period (5% unique variance). Contrary to prediction, the interaction between AS Physical Concerns and smoking rate did not significantly predict the occurrence of panic attacks during the three month follow-up period. The current findings suggest that daily smokers smoking at higher rates with high AS Physical Concerns may be more prone to engage in avoidance (Time 1 findings) and show increases in worry about potentially threatening events in the future (Time 2 anticipatory anxiety findings). This interaction appears to be relatively specific to only some aspects of panic-relevant vulnerability factors. This pattern of findings may be used to conceptually guide the refinement of etiological models of panic vulnerability that involve smoking behavior.

The electric pulp test (EPT) has been shown to be a valuable tool in assessing pulp vitality. One of its drawbacks, however, is its high number of false positives. The purpose of this study was to determine if qualifying the type of sensation elicited by the test could lower the percentage of false positive responses. A retrospective chart review of an eleven-month period was conducted, examining all patients with necrotic teeth tested with the EPT. Of 189 teeth, when the patient responded to EPT at first sensation 23.3% of teeth were incorrectly identified as vital. When the patient was asked to respond only if they felt an uncomfortable sensation, the false positive rate was lowered to 8.5%, a statistically significant difference. No association was found between the teeth reclassified as necrotic and age, gender, type of tooth, or number of canals.

This dissertation examined the effect of year-long study abroad program on the development of intercultural sensitivity among the Mainland Chinese high school students. The sample consisted of 50 study abroad participants and 50 students on home campus. The instrument Intercultural Development Inventory (IDI) was employed to assess the intercultural sensitivity level of Mainland Chinese students before and after study abroad experience. The paired samples t-test results reveal that study abroad students did not make statistically significant gains in the overall intercultural sensitivity through participation in the year-long study abroad program. Although there were statistically significant differences in the posttest ethnorelative scales between study abroad students and students on the home campus, the study abroad students did not make significantly greater progress in their overall intercultural sensitivity between the pretest and posttest than the comparison group. The regression results indicated that the independent variable of total amount of previous intercultural experience significantly contributed to the development of intercultural sensitivity.On average, study abroad students participants were in the stage of Minimization as measured by IDI prior to study abroad and remained at the same stage by the conclusion of the study abroad experience. The findings imply that the study abroad program needs to provide support to increase students’ skills and sensitivity so that they can deal effectively with cultural differences.

In this paper, an Export Decision Support Model applied to the Czech Republic is developed, with the aim of finding export opportunities. The model functions using a filtering process in which a stream of data composed of numerous socio-economic indicators representing the world trade is analysed. For their construction, an extensive literature review was developed relying strongly on a previous EDSM targeted as well for the Czech Republic, as at the moment no explicit rule exist describing its appropriate composition. Then, if a given market, determined by its associated matrix of indicators, fulfils the conditions of the model, then it is retrieved as an export opportunity. After the model construction, it is supplied with two streams of data, for 2010 and for 2014 and, the hypothesis that for both years the output is equal is evaluated. With the intention to infer if the constructed model needs periodical recalibrations for its appropriate use. Finally, a local sensitivity analysis is deployed uncovering the behaviour of the different parameters of the model, a novel approach not yet implemented in an EDSM tailor made for the Czech Republic. JEL Classification F10, F13, F23, M31 Keywords export opportunity, entrepreneurship, international marketing, sensitivity analysis, trade Author's e-mail...

5α-reductases (5αRs) catalyse reduction of 4-pregnene steroids, most notably the androgen testosterone to its more potent metabolite dihydrotestosterone (DHT). Well-characterised isozymes of 5αR are designated 5αR1 and 5αR2. Inhibitors of 5αR, finasteride (a 5αR2 inhibitor) and dutasteride (a dual 5αR1 and 5αR2 inhibitor), are utilised in conditions where a reduction in androgen action is desired, including benign prostatic hyperplasia. Although 5αR2 is predominantly expressed in reproductive tissues, both isozymes, but particularly 5αR1, are expressed in metabolic tissues including liver and adipose and both metabolise glucocorticoids as well as androgens; therefore inhibition of 5αR may have consequences for metabolic health. This thesis addresses the hypotheses that 5αR1 inhibition with dutasteride decreases insulin sensitivity and causes dysregulation of the HPA axis in humans. Metabolism and the HPA axis were studied in men prior to and following 3 months of dutasteride (0.5 mg daily; n=16), finasteride (5 mg daily; n=16) or control (tamsulosin MR; 0.4 mg daily; n=14). Glucose disposal during hyperinsulinaemia was the primary endpoint, measured during a hyperinsulinaemic euglycaemic clamp, with d2-glucose and d5-glycerol tracers. Peripheral insulin sensitivity for both glucose uptake and NEFA suppression decreased with dutasteride versus both finasteride and control, while hepatic insulin sensitivity was preserved. Body fat increased with dutasteride, though was not accompanied by changes in metabolic or inflammatory gene transcript abundance in subcutaneous adipose biopsies, nor any differences in abdominal adipose depots on post-treatment MRI. Subtle dysregulation of the HPA axis was evident with both 5αR inhibitors, though to a greater degree with dutasteride and changes were largely compensated for. In support of this study, this thesis also describes the development, validation and application of two novel liquid chromatography tandem mass spectrometry assays; establishing compliance by measuring serum drug levels, and demonstrating effects of 5αR inhibitors on androgen metabolism and adrenal steroidogenesis by measurement of testosterone, DHT and androstenedione. In conclusion, 5αR1 inhibition with dutasteride, but not finasteride, induces peripheral insulin resistance and increases body fat. Findings presented may have important implications for patients prescribed dutasteride for benign prostatic hyperplasia.

This thesis presents a study of the electrical properties and gas sensitivity of thin films of four different organic materials. These are: (i) Langmuir-Blodgett (LB) films of tetrabutylammonium Ni(dmit)(_2) complex (Bu(_4)-Ni(dmit)(_2) complex) mixed with tricosanoic acid (TA); (ii) thin films of polypyrrole (PPy) mixed with palmitic acid (PA) obtained using the LB technique followed by two solid state reactions; (iii) cast films of polycyanopropylmethylsiloxane (PCMS); and (iv) LB films of a co-ordination polymer?5,5' methylenebis (N-hexadecylsalicydeneamine) (MBSH) (poly(CuMBSH)). LB films of (Bu(_4)-Ni(dmit)(_2) complex)/TA were characterised by electrical measurements?(AC in the frequency range 10(^2)-10(^6) Hz) at room temperature. For the other three types of films, characterisation of the structure and electrical behaviour (DC and AC in the frequency range 10(^2)-10(^6) Hz) on varying the temperature (in the range 90 - 298 K) and during the exposure to benzene, ethanol, acetonitrile and water (concentrations in the range 10(^2) -10(^5) ppm) was undertaken. During exposure to vapours, reversible changes in the electrical properties of the films were observed. The electrical behaviour and the changes during exposure to vapours were interpreted in terms of models in the literature, assuming a bulk dissolution of the vapours in the organic films. In all cases an 'anomalous' response to water was observed. For poly(CuMBSH), this effect was interpreted in terras of a Low Frequency Dispersion. The device characteristics for gas sensing applications are also discussed. Estimated minimum detectable concentrations were between 1-100 ppm for the three organic solvent vapours. Moreover, it is shown that the fi-equency behaviour for the admittance changes of the PCMS and poly(CuMBSH) devices could be exploited for the improvement of the sensitivity of a single device. The unique response of all the films to water vapour could be useful for its discrimination.