Large Scale Adaptive Re-Use: An Alternative to Big-Box Sprawl

Sprawl is corroding the very sense of community that helps bind us together as a people and a nation. In 1993 the National Trust for Historic Preservation placed the entire state of Vermont on its list of \u27America\u27s 11 Most Endangered Historic Places\u27. Vermont, the only state ever placed on the list, was facing the imminent invasion of superstore sprawl, a predicament that threatened to destroy the characteristics that define Vermont: historic town centers, a well-preserved countryside, working farms, scenic roads, locally owned small businesses, and most importantly, a strong sense of community fostered by compact, cohesive small towns. By placing Vermont on its \u27Most Endangered\u27 list, the National Trust helped to highlight the rapid proliferation of big-box sprawl as a significant concern for American preservationists and planners

Identification and Analysis of a New Tumor and Metastasis Suppressor Gene, RASAL2

RAS is one of the most commonly mutated genes in human cancer; its aberrant activation drives tumor cell proliferation and survival. However, RAS mutations are rare in some cancers, including breast cancer, even though the Ras pathway is hyperactivated, suggesting that alternative mechanisms deregulate Ras signaling in these settings. The RasGAPs are negative regulators of Ras and, as such, are poised to function as tumor suppressors whose loss might contribute to Ras pathway hyperactivation in cancer. However, the RasGAPs remain an understudied family of genes whose role in cancer has not been fully explored. In this Dissertation I identify a previously uncharacterized RasGAP, RASAL2, as the newest tumor suppressor in this gene family

High-Sensitive Detection and Quantitative Analysis of Thyroid-Stimulating Hormone Using Gold-Nanoshell-Based Lateral Flow Immunoassay Device

Au nanoparticles (AuNPs) have been used as signal reporters in colorimetric lateral flow immunoassays (LFAs) for decades. However, it remains a major challenge to significantly improve the detection sensitivity of traditional LFAs due to the low brightness of AuNPs. As an alternative approach, we overcome this problem by utilizing 150 nm gold nanoshells (AuNSs) that were engineered by coating low-density silica nanoparticles with a thin layer of gold. AuNSs are dark green, have 14 times larger surface area, and are approximately 35 times brighter compared to AuNPs. In this study, we used detection of thyroid-stimulating hormone (TSH) in a proof-of-concept assay. The limit of detection (LOD) with AuNS-based LFA was 0.16 µIU/mL, which is 26 times more sensitive than the conventional colorimetric LFA that utilizes AuNP as a label. The dynamic range of the calibration curve was 0.16–9.5 µIU/mL, making it possible to diagnose both hyperthyroidism (5 µIU/mL) using AuNS-based LFA. Thus, the developed device has a strong potential for early screening and diagnosis of diseases related to the thyroid hormone

Determinants of Salary Dispersion among Political Science Faculty: The Differential Effects of Where You Work (Institutional Characteristics) and What You Do (Negotiate and Publish)

We evaluate hypotheses about human capital and structural theory-based predictors of variation in academic salaries. We use standard statistical models to explore differences in salary among full-time political science faculty, while also utilizing selection models to control for factors that place individuals on different trajectories stemming from their graduate school experience. We report on several findings, one of which is the positive effect on salary associated with graduation from a highly ranked PhD program; a second being the negative effect on salary of a high undergraduate teaching load. Other findings are that negotiation positively affects salary for men, but not for women, and that journal publications increase salaries amongst women, but not men. At the associate professor level, we find a significant gender gap in salary, even with controls for human capital, structural factors, and productivity. We also find a significant effect of race on the salaries of male faculty

Does the Medical College Admission Test (MCAT) predict licensing examination performance in the Canadian context?

Background: Research on the predictive validity of the Medical College Admissions Test (MCAT) on licensing examination performance is varied in its conclusions, with only a few studies examining this relationship in a Canadian context. We assessed the predictive validity of the MCAT on successful performance on the Medical Council of Canada Qualifying Examination (MCCQE) Part 1 by students attending the Cumming School of Medicine.   Methods: Prospective data were collected on MCAT score and sub-section scores, MCCQE decision, multiple mini interview (MMI) performance, gender, and age. The cohort was divided into a derivation cohort (2013 and 2014) and validation cohort (2015 and 2016). Students were dichotomized into pass or fail on MCCQE. Multiple logistic regression in which our dependent variable was MCCQE Part I examination success at the first attempt was used, and potential explanatory variables were age, gender, MCAT total score, and sub-scores for the biological sciences (MCAT-BS), physical sciences, and verbal reasoning, GPA, and MMI ratings.Results: For the derivation cohort MCAT-BS was associated with success on the MCCQE Part I. The odds ratio for this association of 1.37 (95% confidence interval [1.01, 1.85], p = 0.04). When we applied the MCAT-BS to our validation cohort the odds ratio of MCCQE Part I examination success was 1.42 [1.10, 1.83], p = 0.007) and the area under the ROC curve was 0.66 [0.54, 0.79]).Conclusion: The MCAT-BS predicted successful performance on the MCCQE Part 1 Examination in the Canadian setting

The Homeless World Cup through storytelling:the narratives of Street Soccer players from Scotland and the USA

ObjectivesThe purpose of this paper was to explore: (a) What stories do the Street Soccer players draw upon to construct meaning around their experiences of trauma, social exclusion, and homelessness? and (b) What stories are linked to the subjective sport programming experience and resulting future orientations?DesignA longitudinal narrative approach was adopted with semi-structured interviews conducted with players from Scotland and the United States (n = 16, 7 female, 9 male, M age = 27.5) across three time points. Interviews were also conducted with significant others (n = 13) at time point three. All data were analyzed using thematic narrative analysis and represented in creative non-fiction approaches through three composite narratives.ResultsThese narratives depicted visceral accounts of complex and developmental trauma, along with consequential experiences that unfolded before, during, and after the Homeless World Cup. While both preparing for and attending the event, players recalled concurrent feelings of anxiety and pride which manifested in various resilient and maladaptive coping behaviors. As the stories progressed, players battled a post event crash by engaging in support seeking and/or self-destructive behaviors before positive implications of the Homeless World Cup materialized.ConclusionsThrough creative narrative approaches, this study presents novel and engaging accounts of players’ experiences before, during, and after the event. We also identify potential safeguarding concerns that can be addressed through trauma-informed practices

The Creation and Expansion of the International Criminal Court: A Legal Explanation.

Abstract: International courts have proliferated in the international system in the past century, with one hundred judicial or quasi-judicial bodies currently in existence. While the supply of international courts has increased substantially, state level support for international courts varies across states, across courts, and over time. This paper focuses on the cross-sectional and temporal variation in state level support for a particular court, the International Criminal Court (ICC). The authors argue that domestic legal systems create different predispositions with respect to states' willingness to join adjudicatory bodies and the design of their commitments to international courts. Negotiators involved in the creation of the ICC pushed for rules and procedures that mimicked those of their domestic legal systems to help reduce uncertainty regarding the court's future behavior and decision-making processes. This interesting process of legal bargaining led to the creation of a sui generis court, one which represents a mixture of common law and civil law systems. The hybrid nature of the court's design enhanced the attractiveness of the court to civil and common law states, making them significantly more likely to sign and ratify the Rome Statute. Empirical models demonstrate that common and civil law states were fervent supporters of the ICC in preliminary negotiations and that they have shown higher levels of support for the Court since the ICC's inception in comparison to Islamic law or mixed law states

A Hierarchical Bayesian Approach to Neutron Spectrum Unfolding with Organic Scintillators

We propose a hierarchical Bayesian model and state-of-art Monte Carlo sampling method to solve the unfolding problem, i.e., to estimate the spectrum of an unknown neutron source from the data detected by an organic scintillator. Inferring neutron spectra is important for several applications, including nonproliferation and nuclear security, as it allows the discrimination of fission sources in special nuclear material (SNM) from other types of neutron sources based on the differences of the emitted neutron spectra. Organic scintillators interact with neutrons mostly via elastic scattering on hydrogen nuclei and therefore partially retain neutron energy information. Consequently, the neutron spectrum can be derived through deconvolution of the measured light output spectrum and the response functions of the scintillator to monoenergetic neutrons. The proposed approach is compared to three existing methods using simulated data to enable controlled benchmarks. We consider three sets of detector responses. One set corresponds to a 2.5 MeV monoenergetic neutron source and two sets are associated with (energy-wise) continuous neutron sources ($^{252}$Cf and $^{241}$AmBe). Our results show that the proposed method has similar or better unfolding performance compared to other iterative or Tikhonov regularization-based approaches in terms of accuracy and robustness against limited detection events, while requiring less user supervision. The proposed method also provides a posteriori confidence measures, which offers additional information regarding the uncertainty of the measurements and the extracted information.Comment: 10 page