We are currently in the golden age of sustainable investing much thanks to the increasedimportance of companies acting responsibly and sustainably. ESG reporting practices aredrastically improving globally. However, emerging market equities remain remarkablyunderrepresented compared to developed market equities in institutional investors’sustainability portfolios. One of the most popular sustainable investing practices is ESG investing. Over the years, institutional investors have developed several ESG investingstrategies. A relatively new and upcoming strategy which is expected to growtremendously over the coming years is thematic ESG investing which differentiates itselfcompared to more traditional strategies. To the author’s knowledge, very few studies havebeen conducted comparing the performance of ESG investment strategies against eachother, especially comparing thematic ESG versus more traditional ESG investingstrategies in emerging markets. This study found that emerging market based thematic ESG portfolios built around thetheme of clean energy perform better financially compared to more traditional emergingmarket-based non-thematic ESG portfolios. Hence, answering our stated researchquestion “How do Clean Energy focused thematic ESG investment portfolios performcompared to non-thematic ESG portfolios in emerging markets?”. Thematic clean energyportfolios rebalanced annually and quarterly performed better in almost every aspect(return, risk and risk/return) compared to broader non-thematic ESG portfolios during ourselected 5-year period, indicating that thematic investing may be the better strategy toadopt if investing sustainably in emerging markets. This study also found evidenceindicating that emerging market-based thematic clean energy portfolios may performbetter than their developed market counterpart. These findings should persuade investorsto finally break the norm and allocate more capital towards emerging market equities,unlocking the potential for previously hidden diversification opportunities. By analyzingthe performance differences through the lens of existing financial theories, this studymanages to also break new ground within the field of sustainable investing literatureadding new valuable insights while also challenging already existing financial theoriessuch as the efficient market hypothesis. This is a quantitative comparative study utilizing a deductive approach, where the authorshave created and compared the performance of sustainable equity portfolios in emergingmarkets. The Carhart four-factor model was applied through OLS regression to explainthe excess returns of the portfolios, Monte Carlo simulations were conducted to predictfuture movements of the portfolios while multiple performance metrics such as Sharpe,Sortino, and Treynor were calculated and compared.

The purpose of this paper is to analyze potential predictors of accumulating casual vs. committed sexual partners in emerging adulthood. Using a large, national sample of emerging adults in the United States, I examined how alcohol use and attachment orientation differentially predicted accumulating casual and committed sexual partners. I found that higher anxious attachment positively predicted the number of committed sexual partners, while higher avoidant attachment negatively predicted the number of casual sexual partners. I also found that alcohol use positively predicted both the number of casual and committed sexual partners emerging adults accumulated. Further, I tested the strength of the various associations and found that anxious attachment more strongly predicts committed sexual partners, while avoidant attachment and alcohol use more strongly predict casual sexual partners. This work highlights the need for scholars to distinguish between the type of sexual partners emerging adults accumulate during this time of life.

yes / This article highlights and analyses a hitherto largely neglected dimension to the growing agency of large developing countries in global affairs: their hosting of international sports mega-events. Why are large developing countries hosting sports mega-events and what does this contemporary phenomenon tell us about the significance of, for example, the Olympics and the World Cup in global affairs? We explore these questions through brief examination of the cases of the three most active sports mega-event hosting states in recent times: Brazil, China and South Africa. The 2008 Beijing Olympics, the 2010 World Cup in South Africa, and the upcoming 2014 World Cup and 2016 Olympic Games in Brazil provide interesting examples with which to explore developing country agency in the international system and in particular the discursive basis of that agency. We see the hosting of sports mega-events as the practice of public diplomacy by states to both demonstrate existing soft power capability as well as pursue its further enhancement.

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Drawing from gender studies, cultural studies, and feminist technoscience literature, this dissertation employs an interdisciplinary approach to analyze the androcentric imaginaries through which humanoid sex robots ("sexbots") emerge. Specifically, I utilize sexbots to interrogate and reflect on issues such as consent, whiteness, and humanity. By situating sexbots as proxies for feminized and racialized humans, I argue that the production, portrayal, and proliferation of sexbots are reflections of how we treat marginalized people, reifying existing hierarchal power relations. This project begins by analyzing the creation and dissemination of sexbots by popular sex technology ("sextech") companies. Critically surveying published papers, interviews, and research from various sexbot texts, I attend to gendered and racialized discourses of sexbot consent and companionship in human-sexbot relationships. Next, I analyze the overwhelming presence of whiteness with/in sexbots, exploring how anti-Black racism manifests in sexbots, and underscoring how both the present and "future" of sextech remains rooted in the past. Then, I catalog and dissect the published materials and interviews of prominent sextech creators, critically juxtaposing the marketing discourses of sexbots and evincing how both the sextech elite and science journalists—specifically writers I refer to as "sexbot journalists"—influence, change, and inform the meanings of sexbots. Finally, I turn to robots and robot alternatives found in feminist speculative fiction, utilizing these stories as a way of looking elsewhere in order to theorize what is possible for sexbots as well as our (current and future) relationships to these emerging technologies. At its core, this dissertation is an invitation to question white heteropatriarchy mediated through the controversial existence of sexbots. While synthetic women are the ostensible "subjects" of investigation—as well as commodities exchanged by creators and subsequently praised by enthusiasts—it is the "real" feminized and racialized humans who lie at the heart of this project. Through a much-needed feminist intervention, this project offers an in-depth analysis of humanoid sex robots and what they reveal about violence and power in the world around us. / Doctor of Philosophy / Humanoid sex robots ("sexbots") have served as inspiration for countless inventors, scholars, and writers of science fact and fiction. Sexbots, as I intend to show, are also shaped by gendered and racialized imaginaries, leading to their condemnation by feminist and race-critical science and technology scholars. At the same time, sexbots are popularly advertised as suitable alternatives for human companionship, promoted as emerging technologies designed for users uninterested in, or unable to, have sexual relations with "real" or "organic" women. Interrogating the troubling imaginaries behind these synthetic women, I analyze the creation, production, and dissemination of sexbots by popular sex technology ("sextech") companies. Specifically, I use sexbots to explore urgent issues such as humanity, consent, and whiteness. Unable to consent to the acts they are programmed to perform, or combat the abuse directed toward them, sexbots are often associated with sexual and gender-based violence. By situating sexbots as proxies for feminized and racialized humans, this project argues that the production, portrayal, and proliferation of sexbots are reflections of how we treat marginalized people, reinforcing existing problems related to patriarchy, misogyny, and anti-Black racism. While this project is deeply interested in sexbots, its heart is intimately human. Ultimately, I use sexbots to critically reflect on issues of power and violence in our world, as well as to (re)imagine feminist relationships to these emerging technologies.

Antibiotics and antibiotic resistance genes from animal manure applied to soil as fertilizer are now among the most concerned contaminants in soil. The widespread use of antibiotics in livestock might amplify the risk of developing antibiotic resistance, causing once treatable diseases to turn deadly. The World Health Organization declared antibiotic resistance as "one of the biggest threats to global health, food security, and development". The goal of this dissertation was to develop best manure management practices by understanding the behavior of manure-associated antibiotics in manure, water, and soil. In particular, my research focused on the effects of manure application methods, on-site manure treatment methods, manure application seasons, and manure-rainfall time gaps on antibiotic surface runoff losses, antibiotic distribution and movement in soil, antibiotic dissipation in soil, and development of antibiotic resistance. Rainfall simulation field-scale and soil incubation lab studies were combined to find the best manure management practices. My research has shown for the first time that using the manure soil subsurface injection method, especially during spring application season due to moist soil, applying manure at least 3 days before a subsequent rainfall, and using composted manure, can significantly reduce the quantity of antibiotic loss with runoff from manure-applied fields to the surrounding environment. The majority of applied antibiotics remained in soil. All antibiotics showed a similar dissipation pattern with fastest kinetics during the first 14 d before slowing down. The effect of two manure application methods on antibiotic dissipation kinetics varied with different antibiotics. Although the half-life of tested antibiotics in soil was short (<21 days), some remained detectable even at 6 months after a single manure application. Results also showed that compared to the surface application, the subsurface injection slits acted as a "hot zone" with a higher amount of antibiotics, manure microbes, and antibiotic resistance. The results provide information for policy makers, manure managers, and farmers to develop better manure management practices that can use manure as fertilizer while minimizing the spread of antibiotics to surrounding water, soil, and plants. / Doctor of Philosophy / There is growing concern about antibiotic resistance as a serious human health threat because a resistant infection may kill, can spread, and increases health costs. Every year in the United States, there are 2 million people infected with antibiotic resistant bacteria, 23,000 people die as a direct result of these infections, and $55 billion is lost due to increased hospital stay and lost work days. Although bacteria naturally develop the ability to resist antibiotics, the problem is the length between antibiotic introduction and resistance development is shortening because of the widespread and overuse of antibiotics, especially in the livestock industry. The goal of this study was to develop the best manure management practices balancing the benefits of antibiotics in livestock and animal manure and their impact on the environment. In particular, we monitored, using field-scale and laboratory studies, the effects of manure application methods, on-site manure treatment methods, manure application seasons, and manure-rainfall time gaps on antibiotic loss through surface runoff, antibiotic distribution and movement in soil, antibiotic dissipation in soil, and development of antibiotic resistance. In order to reduce the amount of antibiotic loss with surface runoff from manure-applied fields to the surrounding environment, farmers are recommended to 1) compost manure before application, 2) watch the forecast to apply manure at least 3 days before a subsequent rainfall, and 3) use the subsurface injection method, especially when the soil is wet (spring season). The majority of applied antibiotics remained in soil. All tested antibiotics showed a similar dissipation pattern with the fastest rate during the first two weeks after manure application, then slowing down. Although the half-life of tested antibiotics in soil was short (<21 days), some remained detectable even at 6 months after a single manure application. Besides, the subsurface injection slits acted as a hot zone with a concentrated amount of antibiotics, manure microbes, and antibiotic resistance. The results provide recommendations for policy makers, manure managers, and farmers to maximize benefits of manure as fertilizer while minimizing the spread of manure-associated antibiotics to surrounding water, soil, and plants.

Estimating the prevalence rate of a disease is crucial for controlling its spread, and for planning of healthcare services. Due to limited testing budgets and resources, prevalence estimation typically entails pooled, or group, testing where specimens (e.g., blood, urine, tissue swabs) from a number of subjects are combined into a testing pool, which is then tested via a single test. Testing outcomes from multiple pools are analyzed so as to assess the prevalence of the disease. The accuracy of prevalence estimation relies on the testing pool design, i.e., the number of pools to test and the pool sizes (the number of specimens to combine in a pool). Determining an optimal pool design for prevalence estimation can be challenging, as it requires prior information on the current status of the disease, which can be highly unreliable, or simply unavailable, especially for emerging and/or seasonal diseases. We develop and study frameworks for prevalence estimation, under highly unreliable prior information on the disease and limited testing budgets. Embedded into each estimation framework is an optimization model that determines the optimal testing pool design, considering the trade-off between testing cost and estimation accuracy. We establish important structural properties of optimal testing pool designs in various settings, and develop efficient and exact algorithms. Our numerous case studies, ranging from prevalence estimation of the human immunodeficiency virus (HIV) in various parts of Africa, to prevalence estimation of diseases in plants and insects, including the Tomato Spotted Wilt virus in thrips and West Nile virus in mosquitoes, indicate that the proposed estimation methods substantially outperform current approaches developed in the literature, and produce robust testing pool designs that can hedge against the uncertainty in model inputs.Our research findings indicate that the proposed prevalence estimation frameworks are capable of producing accurate prevalence estimates, and are highly desirable, especially for emerging and/or seasonal diseases under limited testing budgets. / Doctor of Philosophy / Accurately estimating the proportion of a population that has a disease, i.e., the disease prevalence rate, is crucial for controlling its spread, and for planning of healthcare services, such as disease prevention, screening, and treatment. Due to limited testing budgets and resources, prevalence estimation typically entails pooled, or group, testing where biological specimens (e.g., blood, urine, tissue swabs) from a number of subjects are combined into a testing pool, which is then tested via a single test. Testing results from the testing pools are analyzed so as to assess the prevalence of the disease. The accuracy of prevalence estimation relies on the testing pool design, i.e., the number of pools to test and the pool sizes (the number of specimens to combine in a pool). Determining an optimal pool design for prevalence estimation, e.g., the pool design that minimizes the estimation error, can be challenging, as it requires information on the current status of the disease prior to testing, which can be highly unreliable, or simply unavailable, especially for emerging and/or seasonal diseases. Examples of such diseases include, but are not limited to, Zika virus, West Nile virus, and Lyme disease. We develop and study frameworks for prevalence estimation, under highly unreliable prior information on the disease and limited testing budgets. Embedded into each estimation framework is an optimization model that determines the optimal testing pool design, considering the trade-off between testing cost and estimation accuracy. We establish important structural properties of optimal testing pool designs in various settings, and develop efficient and exact optimization algorithms. Our numerous case studies, ranging from prevalence estimation of the human immunodeficiency virus (HIV) in various parts of Africa, to prevalence estimation of diseases in plants and insects, including the Tomato Spotted Wilt virus in thrips and West Nile virus in mosquitoes, indicate that the proposed estimation methods substantially outperform current approaches developed in the literature, and produce robust testing pool designs that can hedge against the uncertainty in model input parameters. Our research findings indicate that the proposed prevalence estimation frameworks are capable of producing accurate prevalence estimates, and are highly desirable, especially for emerging and/or seasonal diseases under limited testing budgets.

In this dissertation, we study the effects of emerging biomass markets on land use changes between alternatives of agricultural production, conventional timber production, and forest woody biomass production for energy use. Along with the uncertainty associated with woody biomass prices and rents, transaction costs incurred to land use play an important role in land allocation decisions and make this study distinct from other work. In Chapter 1, we introduce the background and objectives of our study. In Chapter 2, we analyze the behavior of a risk-neutral private landowner and social planner under uncertainty of woody biomass prices, assuming that there is a market emergence at some unknown time point in the future. Market emergence is characterized by a price jump and a certain timing of the price jump. Six different price jumps and five different timings of bioenergy market emergence are adopted to study their collective effects on land use change between agriculture and forestry. Chapter 3 studies this problem for a risk-averse private landowner. Two measures of relative risk aversion are used to examine how a landowner's preference may affect his or her land use decision. In Chapter 2, we find that, for three different quality categories of land, land rents from forestry increase significantly for higher price jumps and decreases in the length of time until bioenergy market emergence. One of the most important results is concerned with the presence of transaction costs. Here, we find that these costs may require unrealistic market emergence scenarios to lead to bioenergy adoption on any large scale. This result is even more likely with nonlinear transaction costs. Land allocation decisions in Chapter 3 are distinctly different from those in Chapter 2, due to the introduction of landowner risk aversion. In certain market emergence cases, some land units retain in agriculture entirely when the landowner is risk averse . The Chapter 4 studies a stochastic optimization problem of land use, assuming that woody biomass rents follow a stochastic diffusion called geometric Brownian motion that is later discretized by a binomial option pricing approach. The problems in Chapters 2 and 3 assume that the landowner must make all decisions at the beginning of his or her time horizon. This assumption is relaxed in Chapter 4. Now, the landowner is allowed to revise his or her land allocation decision among three alternatives over time as information about market emergence is collected. We observe that the different forms of transaction costs are not as significant as in Chapters 2 and 3. However, different values of volatility of forest biomass rents give rise to different land allocation decisions, especially for the land of high quality. / Ph. D.

Hormones are endocrine disrupting compounds, which have been shown to alter the sexual development of aquatic organisms. Animal manure applications to agricultural fields for nutrient management can be a source of environmental hormones. This dissertation investigates the occurrence of hormones in fields applied with various manures and their adjacent streams, as well as the effect of manure application technologies on the fate of hormones in soils, sediments, and runoff. A total of 11 hormone compounds were studied. All studied analytes were quantified using liquid chromatography and triple-quadrupole mass spectrometry following various sample extraction and clean-up strategies. The spatial and temporal distribution of manure-associated hormones in a manure surface applied agricultural field and adjacent stream was studied at time points up to 7.5 months after a routine manure application. Hormones were detected mainly in the top 0-5cm soils. Significantly higher levels of hormones were found in the drystack applied area of the field when compared to dairy manure slurry applied portion. New technologies for the subsurface application of poultry litter show promise as a tool to reduce the transportation of environmental hormones in surface runoff. Once adequate sampling protocols were established; it was determined that subsurface injection of both dairy manure and poultry litter reduced the impact of manure surface runoff. Hormones also showed little vertical and lateral movement in the soil. The transformation rates of 1,4-androstadiene-3,17-dione, 4-androstene-3,17-dione and estrone were studied comparing the effects of temperature, soil type, and application type. The calculated half-life of 1,4-androstadiene-3,17-dione in poultry litter surface-applied soils was 1.9 times higher than that in the poultry litter subsurface-injected soils, indicating a faster dissipation rate in the injection slits. Estrone persisted at detectable levels for the duration of the study in all treatments. The continued use of best management practices and innovative manure management techniques for the reduction of nutrients, sediment and other contaminants has the potential to also reduce hormone transport to the natural environment. Monitoring many different types of hormones in all areas of an environmental system will continue to provide better information on the occurrence and fate of hormones sourced from manure amended soils. / Ph. D. / Hormones can contaminate streams and cause harm in the environment by interfering with the sexual development of aquatic organisms. Hormones are naturally occurring in animal manure, which is applied to agricultural fields for nutrients. Animal manures are usually spread on the surface of the soil and hormones can travel from the field to the streams when it rains. There are new technologies where the manure is injected into the soil instead of spread on the surface that could reduce the environmental impact of hormones in manure. This dissertation investigated the how hormones behave in fields applied with animal manures using the surface application technique and the subsurface injection technique. We investigated how long hormones persist in the soil, and their levels in manures, runoff from precipitation, and in waterways. Hormones were shown to stay in the top 0-5cm of soil, and to remain in the manure injection slit, showing that they do not easily move in the environment. Hormones were only detected in runoff water from soils that had surface applied manures. The transformation rate of hormones that were found at the highest levels in all the manures analyzed in this research was studied. It was determined that manure subsurface injection caused one of the compounds to transform at a faster rate in the soil. Overall, hormones were detected for up to 9 weeks in soils that were applied with animal manures. Best management practices such as manure subsurface injection and using a buffer zone between an agricultural field and a stream are promising tools for preventing hormones in animal manure from entering the natural environment.

Developmental challenges in the transition to adulthood call for a process of empowerment that supports young people in guiding themselves and building capacities toward adult commitments and roles. The purpose of this study is to investigate empowerment in emerging adulthood, aiming to develop interventions to promote college student developmental outcomes, particularly in career exploration processes. A process of theory construction generated an innovative model of developmental empowerment in the transition to adulthood. Empowerment is conceptualized as a systemic process that emerges through the ongoing interaction between individual and relational environment. Empowerment constructs include personal agency and sense of purpose (as internal experiences), and mentoring and engagement in community (as external experiences). In the first study, a survey investigated empowering experiences in college among Virginia Tech students (N= 255). The findings support the theoretical model, confirming the salience and interdependence of the four main empowerment constructs. Preliminary evidence suggests relevant connections among the empowerment constructs and outcomes such as definition of life goals and career identity. Additionally, qualitative findings offered insights about the role of mentors and community in relation to empowerment. In its second phase, the research project narrowed the focus to study how the empowerment framework may be used to support the process of career exploration in college. The final study integrates the conceptual model and findings from the first study in a participatory design-based intervention for Virginia Tech first-year students exploring career options (N=126). A series of workshops generated an extensive data collection, yielding further investigation about empowerment, definition of life goals and career identity. Qualitative and quantitative data analysis demonstrate that the intervention improved scores for agency and purpose, besides improving student career adapting responses, major decidedness, and progress in career choice. Participants also advanced self-knowledge and purpose-driven orientation, and developed personal criteria for choice of major and career. / Doctor of Philosophy / In the transition to adulthood, young people need to learn how to make autonomous decisions, guide themselves, and build capacities to commit to adult roles and responsibilities. Deciding a career and pursuing education are good examples of tasks requiring self-knowledge and empowerment in this period. In this dissertation, we present studies about empowering settings to support development in this period of life, in particular for college students. Besides presenting a model of empowerment which includes internal processes and experiences in community, we propose a series of workshops using design techniques to empower and guide students exploring career options.