Airbnb Go Home: Tourism Frictions and Short-Term Rentals in New Orleans

This thesis examines the concerns and conflicts around short-term rental (STR) properties in New Orleans neighborhoods. Using data from collected from critical discourse analysis, semi-structured interviews and social media posts, this paper analyzes the ways the city of New Orleans, residents of the city, STR hosts, and platforms like Airbnb discuss issues of safety, displacement, rising costs of living, as well as responsible STR practices. To understand the complexities of the issues people, have with short-term rental properties, this project approaches STRs from a housing and gentrification lens to understand the role these properties play within in the daily atmospheres of residents’ lives. This thesis contributes to the existing scholarship on cities, STRs and sustainable tourism

The new tungsten-filament lamp standards of total irradiance

Instrumentation and methods used in establishing tungsten-filament lamp standards of total irradianc

Capturing, using, and managing quality assurance knowledge for shuttle post-MECO flight design

Ascent initialization values used by the Shuttle's onboard computer for nominal and abort mission scenarios are verified by a six degrees of freedom computer simulation. The procedure that the Ascent Post Main Engine Cutoff (Post-MECO) group uses to perform quality assurance (QA) of the simulation is time consuming. Also, the QA data, checklists and associated rationale, though known by the group members, is not sufficiently documented, hindering transfer of knowledge and problem resolution. A new QA procedure which retains the current high level of integrity while reducing the time required to perform QA is needed to support the increasing Shuttle flight rate. Documenting the knowledge is also needed to increase its availability for training and problem resolution. To meet these needs, a knowledge capture process, embedded into the group activities, was initiated to verify the existing QA checks, define new ones, and document all rationale. The resulting checks were automated in a conventional software program to achieve the desired standardization, integrity, and time reduction. A prototype electronic knowledge base was developed with Macintosh's HyperCard to serve as a knowledge capture tool and data storage

A Cost-Benefit Analysis of Earned Value Management System Criteria

In December 1996, the Cost/Schedule Control Systems Criteria (C/SCSC) was officially replaced by the Earned Value Management Systems (EVMS) criteria. The switch to EVMS, coupled with current acquisition reform changes, have left many wondering what the effects of these changes will be. This thesis defines the costs and benefits of the old C/SCSC, and then compares them. Additionally, this thesis discusses the changes accompanying the switch to EVMS and the effect on the costs and benefits. The marginal costs of C/SCSC are defined as the difference between the costs of a C/SCSC compliant system and a contractors normal management control system. The marginal system compliance costs are 334-481 person days, while the marginal operating costs are 50% of the C/SCSC compliant operating costs. Fourteen benefits of C/SCSC are detailed in this thesis. The most important benefit discovered was the data reliability that comes with a criteria compliant management control system. The main difference between C/SCSC and EVMS is the system certification process. Under C/SCSC, DoD teams would have to certify a contractor\u27s system. Under EVMS, contractors have the ability to self-certify their system (with final government approval). Cost savings may result through self-certification without reductions in the benefits

VR Job Interview Using a Gender-Swapped Avatar

Virtual Reality (VR) has emerged as a potential solution for mitigating bias in a job interview by hiding the applicants' demographic features. The current study examines the use of a gender-swapped avatar in a virtual job interview that affects the applicants' perceptions and their performance evaluated by recruiters. With a mixed-method approach, we first conducted a lab experiment (N=8) exploring how using a gender-swapped avatar in a virtual job interview impacts perceived anxiety, confidence, competence, and ability to perform. Then, a semi-structured interview investigated the participants' VR interview experiences using an avatar. Our findings suggest that using gender-swapped avatars may reduce the anxiety that job applicants will experience during the interview. Also, the affinity diagram produced seven key themes highlighting the advantages and limitations of VR as an interview platform. These findings contribute to the emerging field of VR-based recruitment and have practical implications for promoting diversity and inclusion in the hiring process.Comment: CSCW 2022 Poster

Personality Types and Learning Styles of Collegiate Aviation Students

The personality types and learning styles of students have been studied across education populations, yet the research analyzing aviation students is lacking. A replication study assessed the distribution of personality types and learning styles of students enrolled in the aeronautical science baccalaureate degree program at Embry-Riddle Aeronautical University (ERAU). The Myers-Briggs Type Indicator (MBTI) Form M and the Kolb Learning Style Inventory (KLSI) were used to analyze the personality types and learning styles, respectively. When compared to the personality type distribution of the traditional college student sample using a selection ratio type table, a significant overrepresentation of the personality type of ISTJ was found among the aviation students (I = 4.36, p \u3c .001). The distribution of learning styles of the aviation students were also compared to the traditional college student sample; Chi-square goodness-of-fit tests revealed an overrepresentation of divergent learners, χ2 (3) = 7.40,p = .002. A Pearson Chi-square test for independence examined if personality type is a predictive factor of aviation student learning preference and found no evidence to support a relationship in the sample

Exploiting monitoring data in environmental exposure modelling and risk assessment of pharmaceuticals

In order to establish the environmental impact of an active pharmaceutical ingredient (API), good information on the level of exposure in surface waters is needed. Exposure concentrations are typically estimated using information on the usage of an API as well as removal rates in the patient, the wastewater system and in surface waters. These input data are often highly variable and difficult to obtain, so model estimates often do not agree with measurements made in the field. In this paper we present an approach which uses inverse modelling to estimate overall removal rates of pharmaceuticals at the catchment scale using a hydrological model as well as prescription and monitoring data for a few representative sites for a country or region. These overall removal rates are then used to model exposure across the broader landscape. Evaluation of this approach for APIs in surface waters across England and Wales showed good agreement between modelled exposure distributions and available monitoring data. Use of the approach, alongside estimates of predicted no-effect concentrations for the 12 study compounds, to assess risk of the APIs across the UK landscape, indicated that, for most of the compounds, risks to aquatic life were low. However, ibuprofen was predicted to pose an unacceptable risk in 49.5% of the river reaches studied. For diclofenac, predicted exposure concentrations were also compared to the Environmental Quality Standard previously proposed by the European Commission and 4.5% of river reaches were predicted to exceed this concentration. While the current study focused on pharmaceuticals, the approach could also be valuable in assessing the risks of other ‘down the drain’ chemicals and could help inform our understanding of the important dissipation processes for pharmaceuticals in the pathway from the patient to ecological receptors

Defect modes in otherwise perfect photonic crystal and photonic crystal fibres

Many of the applications of photonic crystals and photonic crystal fibres require the periodic structure tohave some type of defect. In photonic crystal fibers a point defect defines the fiber core, whereas in photonic crystals a line defect acts as a waveguide, and point defects act as cavities. The modeling of these defects usually either makes use of periodic boundary conditions, by which the defect is replicated periodically, or models a photonic cyrstal of finite extent. HOwever, some applications, for example the cut-off behaviour of a defect mode where the field extends very widely, require methods that can model a defect in an otherwise infinite and perfectly periodic structure. Here we present such a method. It combines the method of fictitious sources with averaging over the Brillouin zone, and we apply it to study the long wavelength behavior of the fundamental mode of photonic crystal fibers