Brundtland’s definition of sustainability is the ability to “meet the needs of the present without compromising the ability of future generations to meet their needs” (IISD, 2021). But what if there are no future generations? Social sustainability, the sector of sustainability that foregrounds the well-being and livelihoods of people (and thereby continuation of humanity), is included in definitions within the sustainability field, but less developed in sustainability practice. In an effort to bridge this gap of knowledge, 14 U.S. cities and over 100 sustainability policies were analyzed for their social sustainability performance. An eight-item analytical framework that deals with differing areas of social equity guided the analysis. Results found that most cities’ sustainability departments fell short of truly addressing social sustainability concerns. Out of the eight items, the most frequently addressed were housing security and racial and gender equality whereas few, if any, cities addressed the more specific social concerns of immigration, technology and media, or arts/cultural preservation. Future research is recommended to gain a better understanding of the ways existing cities can improve in this area.

Reducing the amount of error and introduced data variability increases the accuracy of Western blot results. In this study, different methods of normalization for loading differences and data alignment were explored with respect to their impact on Western blot results. GAPDH was compared to the LI-COR Revert total protein stain as a loading control. The impact of normalizing data to a control condition, which is commonly done to align Western blot data distributed over several immunoblots, was also investigated. Specifically, this study addressed whether normalization to a small subset of distinct controls on each immunoblot increases pooled data variability compared to a larger set of controls. Protein expression data for NOX-2 and SOD-2 from a study investigating the protective role of the bradykinin type 1 receptor in angiotensin-II induced left ventricle remodeling were used to address these questions but are also discussed in the context of the original study. The comparison of GAPDH and Revert total protein stain as a loading control was done by assessing their correlation and comparing how they affected protein expression results. Additionally, the impact of treatment on GAPDH was investigated. To assess how normalization to different combinations of controls influences data variability, protein data were normalized to the average of 5 controls, the average of 2 controls, or an average vehicle and the results by treatment were compared. The results of this study demonstrated that GAPDH expression is not affected by angiotensin-II or bradykinin type 1 receptor antagonist R-954 and is a less sensitive loading control compared to Revert total protein stain. Normalization to the average of 5 controls tended to reduce pooled data variability compared to 2 controls. Lastly, the results of this study provided preliminary evidence that R-954 does not alter the expression of NOX-2 or SOD-2 to an expression profile that would be expected to explain the protection it confers against Ang-II induced left ventricle remodeling.

As temperatures increase across the United States, some populations are more at risk for heat-related death and illness than others. One of these at-risk demographics is mobile home and trailer park inhabitants, who are disproportionately represented among indoor heat-related deaths (Solís, “Heat, Health”). In this paper, we outline a cost-benefit analysis that was used to calculate the net present economic value of projects related to reducing heat burden on mobile home owners and parks in Maricopa County. We use this model to assess solutions developed by student teams under the Knowledge Exchange for Resilience’s Summer Heat Resilience Challenge. We find that one of the seven solutions has a positive net present value (NPV) even in the lowest effectiveness (10%), while three more solutions have a positive NPV in the mid-level (50%) effectiveness scenario, showcasing their economic viability.

The goal of this research was to analyze the impact of consumer behavior on the sustainability of the fast fashion industry, specifically in regards to the framework of the Triple Bottom Line. First, a review of relevant literature investigating the three aspects of the Triple Bottom Line (environmental, social, and economic) as it pertains to the fast fashion industry was conducted to provide context for this research. Research methods utilized scholarly articles and journals along with companies’ CSR reports to determine the course of development of the fast fashion industry over time. Additionally, the impact of consumer behavior was investigated and linked to trends observed in the production and business practices of the industry over time. Based on the analysis of the influence of past consumer behavior on the industry, it was clear consumers play a major role in the industry and its sustainability in terms of the Triple Bottom Line. This suggests that the unsustainability of the fast fashion industry is due in part to consumer behavior and the retailers themselves, which is important to understand for the industry going forward as it aims to improve overall sustainability.