Physical Spaces in the Digital Age: Legacies, Narratives, and Memory of Plantation History

In recent years, plantation tourism has become a prominent concern for many researchers, with studies being done on how plantations use these sites and the ways that they incorporate enslavement into their narratives as a historical site. The current research used a textual analysis approach to explore the themes and language that plantations use when discussing enslavement via the analysis of 16 plantations in nine states. There are three themes that are apparent in the plantations analyzed: the visibility of Enslaved history, the promotion or rejection of Lost Cause memory, and the use of plantations as event spaces. While many plantations have made efforts to emphasize Enslaved history and reject the Lost Cause, others have continued to promote the ideals of the Antebellum South. Additionally, the use of plantations as event venues presents complications in the way they utilize their sites and how this use can degrade plantation spaces

Improved precision with Hologic Apex software.

UnlabelledThe precision of Hologic Apex v2.0 analysis software is significantly improved from Hologic Delphi v11.2 software and is comparable to GE Lunar Prodigy v7.5 software. Apex and Delphi precisions were, respectively, 1.0% vs. 1.2% (L1-L4 spine), 1.l % vs. 1.3% (total femur), 1.6% vs. 1.9% (femoral neck), and 0.7% vs. 0.9% (dual total femur).IntroductionPrecision of bone mineral density (BMD) measurements by dual-energy X-ray absorptiometry (DXA) is known to vary by manufacturer, model, and technologist. This study evaluated the precision of three analysis versions: Apex v2.0 and Delphi v11.2 (Hologic, Inc.), and Prodigy v7.5 (GE Healthcare, Inc.) independent of technologist skill.MethodsDuplicate spine and dual hip scans on 90 women were acquired on both Delphi and Prodigy DXA systems at three clinics. BMD measures were converted to standardized BMD (sBMD) units. Precision errors were described as a root-mean-square (RMS) standard deviations and RMS percent coefficients of variation across the population.ResultsApex and Delphi values were highly correlated (r ranged from 0.90 to 0.99). Excluding the right neck, the Apex precision error was found to be 20% to 25% lower than the Delphi (spine: 1.0% versus 1.2% (p < 0.05), total hip: 1.1% versus 1.3% (p < 0.05), right neck: 2.3% versus 2.6% (p > 0.1)). No statistically significant differences were found in the precision error of the Apex and Prodigy (p > 0.05) except for the right neck (2.3% versus 1.8% respectively, p = 0.03).ConclusionThe Apex software has significantly lower precision error compared to Delphi software with similar mean values, and similar precision to that of the Prodigy

Conditions that Stabilize Membrane Domains Also Antagonize n-Alcohol Anesthesia

Diverse molecules induce general anesthesia with potency strongly correlated with both their hydrophobicity and their effects on certain ion channels. We recently observed that several n -alcohol anesthetics inhibit heterogeneity in plasma-membrane-derived vesicles by lowering the critical temperature (Tc) for phase separation. Here, we exploit conditions that stabilize membrane heterogeneity to further test the correlation between the anesthetic potency of n -alcohols and effects on Tc. First, we show that hexadecanol acts oppositely to n -alcohol anesthetics on membrane mixing and antagonizes ethanol-induced anesthesia in a tadpole behavioral assay. Second, we show that two previously described “intoxication reversers” raise Tc and counter ethanol’s effects in vesicles, mimicking the findings of previous electrophysiological and behavioral measurements. Third, we find that elevated hydrostatic pressure, long known to reverse anesthesia, also raises Tc in vesicles with a magnitude that counters the effect of butanol at relevant concentrations and pressures. Taken together, these results demonstrate that ΔTc predicts anesthetic potency for n-alcohols better than hydrophobicity in a range of contexts, supporting a mechanistic role for membrane heterogeneity in general anesthesia

Quality control of gasohol using a micro-unit for membraneless gas diffusion

This work describes the development of a new spectrophotometric flow technique suitable for monitoring of ethanol content in gasohol fuel. Membraneless gas-diffusion (MBL-GD) was applied with one-step aqueous extraction of gasohol (1:2 gasohol/water). Segments of aqueous extract and color developing reagent were allowed to flow into two separate channels in the MBL-GD device. Inside the device, ethanol vapor can diffuse across a small headspace between the two channels (donor and acceptor). Introduction of an air-segment behind the zone of acceptor reagent to stop dispersion of the colored zone greatly improves the rapidity of analysis using this MBL-GD technique. Two methods were developed for quality control of gasohol by measuring ethanol content. Method I is suitable for direct calibration of E5 and E10. Method II is recommended for E20. These methods have high accuracy with good precision (% RSD: 1 to 4.9, n&#8201;=&#8201;45) and have a sample throughput of 26 samples per hour. E10 samples were compared with analysis using a standard GC method. </p

Edge-Based Compartmental Modeling for Infectious Disease Spread Part III: Disease and Population Structure

We consider the edge-based compartmental models for infectious disease spread introduced in Part I. These models allow us to consider standard SIR diseases spreading in random populations. In this paper we show how to handle deviations of the disease or population from the simplistic assumptions of Part I. We allow the population to have structure due to effects such as demographic detail or multiple types of risk behavior the disease to have more complicated natural history. We introduce these modifications in the static network context, though it is straightforward to incorporate them into dynamic networks. We also consider serosorting, which requires using the dynamic network models. The basic methods we use to derive these generalizations are widely applicable, and so it is straightforward to introduce many other generalizations not considered here

Defect Tolerance to Intolerance in the Vacancy-Ordered Double Perovskite Semiconductors Cs2SnI6 and Cs2TeI6.

Vacancy-ordered double perovskites of the general formula A2BX6 are a family of perovskite derivatives composed of a face-centered lattice of nearly isolated [BX6] units with A-site cations occupying the cuboctahedral voids. Despite the presence of isolated octahedral units, the close-packed iodide lattice provides significant electronic dispersion, such that Cs2SnI6 has recently been explored for applications in photovoltaic devices. To elucidate the structure-property relationships of these materials, we have synthesized solid-solution Cs2Sn1-xTexI6. However, even though tellurium substitution increases electronic dispersion via closer I-I contact distances, the substitution experimentally yields insulating behavior from a significant decrease in carrier concentration and mobility. Density functional calculations of native defects in Cs2SnI6 reveal that iodine vacancies exhibit a low enthalpy of formation, and that the defect energy level is a shallow donor to the conduction band rendering the material tolerant to these defect states. The increased covalency of Te-I bonding renders the formation of iodine vacancy states unfavorable and is responsible for the reduction in conductivity upon Te substitution. Additionally, Cs2TeI6 is intolerant to the formation of these defects, because the defect level occurs deep within the band gap and thus localizes potential mobile charge carriers. In these vacancy-ordered double perovskites, the close-packed lattice of iodine provides significant electronic dispersion, while the interaction of the B- and X-site ions dictates the properties as they pertain to electronic structure and defect tolerance. This simplified perspective based on extensive experimental and theoretical analysis provides a platform from which to understand structure-property relationships in functional perovskite halides

The Slow Food Movement and sustainable tourism development: a case study of Mold, Wales

Purpose – This paper aims to discuss stakeholders’ understanding of sustainable tourism development and their experiences regarding the contribution of these movements to sustainable tourism development. The contribution of the Slow Food and Cittaslow Movements to the success of a tourism destination is evaluated by determining local stakeholders’ perceptions of the meaning of these terms and views on their benefits. Design/methodology/approach – A case study approach used semi-structured interviews to collect data from 11 purposively sampled local stakeholders. The interview questions spanned knowledge, membership and perceived benefits of the Slow Food and Cittaslow Movements and the contribution of these Movements to sustainable tourism development. The data were analysed using framework analysis. Findings – Varying levels of familiarity with the Slow Food and Cittaslow Movements were evident. Clear economic and personal benefits from membership were acknowledged. It was confirmed that the Slow Food and Cittaslow Movements have contributed to sustainable tourism development and that public–private partnership is key to its success. Research limitations/implications – The specific research context and limited purposive sample suggest great caution in any generalisation of the results. Practical implications – Close and continued involvement of stakeholders plus membership of the Slow Food and Cittaslow Movements can contribute strongly to promoting sustainable tourism development in rural areas. Social implications – It is recognised that the Slow Food and Cittaslow Movements make a substantial contribution to local economies and add value to sustainable practices. Originality/value – Involving local stakeholders in public–private partnerships can contribute to the success of rural tourism destinations when the Slow Food and Cittaslow Movements are considered as alternative approaches to sustainable tourism development

Rating neighborhoods for older adult health: results from the African American Health study

<p>Abstract</p> <p>Background</p> <p>Social theories suggest that neighborhood quality affects health. Observer ratings of neighborhoods should be subjected to psychometric tests.</p> <p>Methods</p> <p>African American Health (AAH) study subjects were selected from two diverse St. Louis metropolitan catchment areas. Interviewers rated streets and block faces for 816 households. Items and a summary scale were compared across catchment areas and to the resident respondents' global neighborhood assessments.</p> <p>Results</p> <p>Individual items and the scale were strongly associated with both the catchment area and respondent assessments. Ratings based on both block faces did not improve those based on a single block face. Substantial interviewer effects were observed despite strong discriminant and concurrent validity.</p> <p>Conclusion</p> <p>Observer ratings show promise in understanding the effect of neighborhood on health outcomes. The AAH Neighborhood Assessment Scale and other rating systems should be tested further in diverse settings.</p

Beyond clustering: mean-field dynamics on networks with arbitrary subgraph composition

Clustering is the propensity of nodes that share a common neighbour to be connected. It is ubiquitous in many networks but poses many modelling challenges. Clustering typically manifests itself by a higher than expected frequency of triangles, and this has led to the principle of constructing networks from such building blocks. This approach has been generalised to networks being constructed from a set of more exotic subgraphs. As long as these are fully connected, it is then possible to derive mean-field models that approximate epidemic dynamics well. However, there are virtually no results for non-fully connected subgraphs. In this paper, we provide a general and automated approach to deriving a set of ordinary differential equations, or mean-field model, that describes, to a high degree of accuracy, the expected values of system-level quantities, such as the prevalence of infection. Our approach offers a previously unattainable degree of control over the arrangement of subgraphs and network characteristics such as classical node degree, variance and clustering. The combination of these features makes it possible to generate families of networks with different subgraph compositions while keeping classical network metrics constant. Using our approach, we show that higher-order structure realised either through the introduction of loops of different sizes or by generating networks based on different subgraphs but with identical degree distribution and clustering, leads to non-negligible differences in epidemic dynamics