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Through out history, technological advancements have reshaped the built environment and its Architecture. The cities that we live in today were only made possible by the technologies of the first, second, and third industrial revolutions. Today, we are witnessing another technological revolution based on open source data and artificial intelligence. As there is an enormous amount of prosperous innovations that would directly impact Architecture design tools, building and finishing materials, and construction methods, there are also other innovations that would require spaces, buildings, and cities to be designed to accommodate them. Among the latter mentioned innovations is the Unmanned Aerial Vehicle (UAV), also know as drones. Like the automobile, drone technology will influence not only the way we live but also our design thinking and the components of our built environment. Along with drone's ability to fly, UAV's digital infrastructure is much more flexible and most importantly, invisible. Autonomous Drones' intelligent abilities allow them to provide a wide range of services in various fields such as; freight and delivery, transportation, infrastructure and buildings maintenance, survey, surveillance, policing, fire fighting, agriculture, and even construction, all of which will effectively reduce the amount of ground vehicle traffic, especially in populated cities. Today, as these possibilities are available and constantly under development, it is important for Architecture and Urban Design disciplines to address the challenge and provide comprehensive solutions to accommodate such a technology and allow its possibilities to prosper even further. The intent of this thesis is to study UAV technology and design a mix-use complex that embraces and accommodates UAV services such as; delivery, transport, freight, and maintenance. The complex hosts a residential tower, a vertical garden tower, ground level commercial spaces, and an underground drone hub. / Master of Architecture / Today, we are witnessing another technological revolution based on open source data and artificial intelligence. As there is an enormous amount of prosperous innovations that would directly impact architecture design tools, building and finishing materials, and construction methods, there are also other innovations that would require the built environment of our cities to be designed to accommodate them. Among the later mentioned innovations is the Unmanned Aerial Vehicle (UAV), also known as drones. Autonomous drones are flying robots with intelligent abilities which allow them to provide a wide range of services in various fields such as; freight and delivery, transportation, infrastructure and buildings maintenance, survey, surveillance, policing, fire fighting, agriculture, and even construction, all of which will are available today and constantly under development. Therefore, it is important for architecture and urban design disciplines to address the challenge and provide comprehensive solutions to accommodate such a technology and allow it to grow even further. The intent of this thesis is study drones and their future possibilities and to design a mixed-use complex that embraces and accommodates drone services such as; delivery, transport, freight, and maintenance. The complex hosts a residential tower, a vertical garden tower, ground level commercial spaces, and an underground drone hub.

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Of major concern in the present study will be the effects of anxiety on future time perception.

Thesis advisor: Penny Hauser-Cram / This study involves secondary analysis of data from the Early Intervention Collaborative Study (EICS; Hauser-Cram, Warfield, Shonkoff, & Krauss, 2001), a longitudinal investigation of children with disabilities and their families. Presented is a mixed methods investigation of the relationship between future planning issues and sibling relationship quality when the teen with a disability (DD) was in adolescence (15 and 18 years old). First, future planning issues were examined contemporaneously with sibling relationship quality using hierarchical regression. Second, future planning issues from when the teen with DD was 15 years old were investigated in their relation to change in sibling relationship quality from ages 15 to 18 using lagged OLS regression. Third, qualitative content analysis was used to analyze sibling responses to a series of open-ended questions concerning the future at age 15 (1 question) and age 18 (4 questions). Siblings were asked "what have you learned by living with your brother or sister?" at both time points. In the first set of analyses, discussion of the teen's needs with parents, teen functional skills, sibling gender match, and sibling expectation of future roles were found to significantly relate to sibling relationship cooperation when the teen was 18. Additionally, sibling birth order was related to sibling conflict at age 18. In the second set of analyses, sibling relationship closeness was found to decrease over adolescence and sibling pessimism at age 15 was found to negatively relate this decrease. Finally, in the results for the qualitative analysis, various themes in sibling responses are discussed. More specifically, patterns arose in the change of sibling responses: trends reflecting a decrease in sibling relationship closeness, trends reflecting increasing role asymmetry in the sibling relationship, and trends reflecting sibling development. Future research must further examine the sibling relationship by using a developmental perspective and by taking into account the dynamic nature of sibling roles. The findings support the design of family-based interventions that address future planning explicitly with siblings and parents. Finally, improving the current resources and support for siblings may potentially increase siblings' perception of sibling relationship quality in these sibling pairs. / Thesis (PhD) — Boston College, 2012. / Submitted to: Boston College. Lynch School of Education. / Discipline: Counseling, Developmental, and Educational Psychology.

Digitized by Kansas Correctional Industries

Thinking about the future can take numerous forms, varying from planning actions to foreseeing possible scenarios by means of knowledge and informed guesses, or speculations and intuitions, or imagination and creativity. Different cognitive processes are needed for each of these different types of future thinking. This thesis encompasses a series of experiments both on healthy volunteers and on brain damaged patients, revolving around the issue of "Future Thinking" (FT) that is the cognitive ability, specifically human, of envisaging one's own future. The concept of FT and the relevant literature are presented and discussed in Chapters 2 and 3. The ability to foresee has been normally assumed to rely on the reconstructive nature of episodic memory. This hypothesis is investigated in Chapters 4, 5 and 6. In these chapters data on young adults, who mentally pre-experienced autobiographical episodes, are presented to investigate which type of cue would elicit richer visualizations and to explore possible differences between temporal and a-temporal scene construction. The findings from these experiments on healthy volunteers call for a deeper understanding of the relationship between past experience and FT. Chapter 7 discusses results revealing that aMCI patients produced fewer episodic but more semantic details for both past and future events, as compared to controls, suggesting that reminiscence and FT are the expression of the same neurocognitive system. However, contrary to what was generally thought, data on patients with Parkinson Disease with spared memory performance reported in Chapter 8 and 9 show that FT is not entirely dependent on memory (and the hippocampus), rather the results suggest that poor performance in FT is associated with poor executive control. In Chapter 10 two patients affected by dense amnesia are investigated. Chapter 11 presents a single case exhibiting florid confabulation. The results confirm that although amnesia is associated with poor performance on FT, memory deficits cannot account for the entire picture of FT deficits. Indeed, dysexecutive symptoms play an important role in eliciting FT deficits.

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