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- All Subjects: Social
- Creators: Allenby, Braden
- Member of: Theses and Dissertations
Description
Previous findings from our lab have demonstrated that nicotine and social reward have synergistic effects when experienced together versus when experienced separately. The purpose of this experiment is to understand the neural mechanisms underlying this synergistic effect by quantifying Fos protein, a marker for neural activation, in various brain regions. We utilized the conditioning place preference (CPP) model to assess reward. Four groups of adolescent male rats (n=120) were given either nicotine (Nic) (0.1 mg/kg/mL) or saline (Sal) and were placed in the CPP apparatus either with a social partner (Soc) or alone (Iso). Thus, groups were: 1.)Sal+Iso, 2).Sal+Soc, 3).Nic+Iso, 4).Nic+Soc. Brains of some the rats (n=40) were collected for Fos staining 90 minutes after the last conditioning session to obtain Fos data in response to direct exposure to the stimuli. The following regions were analyzed for Fos expression: central amygdala (CeA), medial amygdala (MeA), basolateral amygdala (BLA), nucleus accumbens core (NAcCore), and nucleus accumbens shell (NAcShell). Place preference changes occurred in socially-conditioned groups reflecting social reward and in nicotine-conditioned groups reflecting nicotine reward. As expected, the Sal+Iso control group failed to display a preference change. Fos data revealed a significant increase in Fos expression in the CeA, MeA, NAcCore and NAcShell for socially-conditioned animals and a significant decrease in the NAcCore for nicotine-conditioned groups. Experiencing both social and nicotine rewards together appeared to produce greater activation in the BLA. However, there was an increase in Fos expression in the negative control group relative to Nic+Iso group. The results of CPP suggest that social, nicotine and their combination are rewarding. The combination of the nicotine and social reward could have been more rewarding than social and nicotine separately, but the test was not sensitive to reward magnitude. The increase in Fos expression in the negative control group in the BLA could be due to isolation stress. Overall, these results suggest that these brain regions had greater activation to social reward.
ContributorsGoenaga, Julianna Gloria (Author) / Neisewander, Janet (Thesis director) / Orchinik, Miles (Committee member) / Olive, Michael (Committee member) / Barrett, The Honors College (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor) / School of Life Sciences (Contributor)
Created2013-05
Description
Many expect renewable energy technologies to play a leading role in a sustainable energy supply system and to aid the shift away from an over-reliance on traditional hydrocarbon resources in the next few decades. This dissertation develops environmental, policy and social models to help understand various aspects of photovoltaic (PV) technologies. The first part of this dissertation advances the life cycle assessment (LCA) of PV systems by expanding the boundary of included processes using hybrid LCA and accounting for the technology-driven dynamics of environmental impacts. Hybrid LCA extends the traditional method combining bottom-up process-sum and top-down economic input-output (EIO) approaches. The embodied energy and carbon of multi-crystalline silicon photovoltaic systems are assessed using hybrid LCA. From 2001 to 2010, the embodied energy and carbon fell substantially, indicating that technological progress is realizing reductions in environmental impacts in addition to lower module price. A variety of policies support renewable energy adoption, and it is critical to make them function cooperatively. To reveal the interrelationships among these policies, the second part of this dissertation proposes three tiers of policy architecture. This study develops a model to determine the specific subsidies required to support a Renewable Portfolio Standard (RPS) goal. The financial requirements are calculated (in two scenarios) and compared with predictable funds from public sources. A main result is that the expected investments to achieve the RPS goal far exceed the economic allocation for subsidy of distributed PV. Even with subsidies there are often challenges with social acceptance. The third part of this dissertation originally develops a fuzzy logic inference model to relate consumers' attitudes about the technology such as perceived cost, maintenance, and environmental concern to their adoption intention. Fuzzy logic inference model is a type of soft computing models. It has the advantage of dealing with imprecise and insufficient information and mimicking reasoning processes of human brains. This model is implemented in a case study of residential PV adoption using data through a survey of homeowners in Arizona. The output of this model is the purchasing probability of PV.
ContributorsZhai, Pei (Author) / Williams, Eric D. (Thesis advisor) / Allenby, Braden (Committee member) / Phelan, Patrick (Committee member) / Arizona State University (Publisher)
Created2010