Moral Majority store front office in New York

General note: Title and date provided by Bettye Lane.

Authors night at Dalton Book Store with Rita Mae Brown and Swimmer Diana Nyad (right)

General note: Title and date provided by Bettye Lane.

Phyllis Chesler, author of "Women and Madness" reads from her new book at Dalton Book Store

General note: Title and date provided by Bettye Lane.

Lesbians nuns, Rosemary Curb (speaking) and Nancy Manahan talk at gay book store about their "coming out" to the church

General note: Title and date provided by Bettye Lane.

Spanish grocery store in NYC

Inscriptions: Verso: [stamped] Photograph by Freda Leinwand. [463 West Street, Studio 229G, New York, NY 10014].

Essays on the Dynamic Decisions of Homeowners and Retailers

Urban problems have several features that make them inherently dynamic. Large transaction costs all but guarantee that homeowners will do their best to consider how a neighborhood might change before buying a house. Similarly, stores face large sunk costs when opening, and want to be sure that their investment will pay off in the long run. In line with those concerns, different areas of Economics have made recent advances in modeling those questions within a dynamic framework. This dissertation contributes to those efforts.

Chapter 2 discusses how to model an agent’s location decision when the agent must learn about an exogenous amenity that may be changing over time. The model is applied to estimating the marginal willingness to pay to avoid crime, in which agents are learning about the crime rate in a neighborhood, and the crime rate can change in predictable (Markovian) ways.

Chapters 3 and 4 concentrate on location decision problems when there are externalities between decision makers. Chapter 3 focuses on the decision of business owners to open a store, when its demand is a function of other nearby stores, either through competition, or through spillovers on foot traffic. It uses a dynamic model in continuous time to model agents’ decisions. A particular challenge is isolating the contribution of spillovers from the contribution of other unobserved neighborhood attributes that could also lead to agglomeration. A key contribution of this chapter is showing how we can use information on storefront ownership to help separately identify spillovers.

Finally, chapter 4 focuses on a class of models in which families prefer to live

close to similar neighbors. This chapter provides the first simulation of such a model in which agents are forward looking, and shows that this leads to more segregation than it would have been observed with myopic agents, which is the standard in this literature. The chapter also discusses several extensions of the model that can be used to investigate relevant questions such as the arrival of a large contingent high skilled tech workers in San Francisco, the immigration of hispanic families to several southern American cities, large changes in local amenities, such as the construction of magnet schools or metro stations, and the flight of wealthy residents from cities in the Rust belt, such as Detroit.

Automated Assessment of Image Quality and Dose Attributes in Clinical CT Images

Computed tomography (CT) is a valuable technology to the healthcare enterprise as evidenced by the more than 70 million CT exams performed every year. As a result, CT has become the largest contributor to population doses amongst all medical imaging modalities that utilize man-made ionizing radiation. Acknowledging the fact that ionizing radiation poses a health risk, there exists the need to strike a balance between diagnostic benefit and radiation dose. Thus, to ensure that CT scanners are optimally used in the clinic, an understanding and characterization of image quality and radiation dose are essential.

The state-of-the-art in both image quality characterization and radiation dose estimation in CT are dependent on phantom based measurements reflective of systems and protocols. For image quality characterization, measurements are performed on inserts imbedded in static phantoms and the results are ascribed to clinical CT images. However, the key objective for image quality assessment should be its quantification in clinical images; that is the only characterization of image quality that clinically matters as it is most directly related to the actual quality of clinical images. Moreover, for dose estimation, phantom based dose metrics, such as CT dose index (CTDI) and size specific dose estimates (SSDE), are measured by the scanner and referenced as an indicator for radiation exposure. However, CTDI and SSDE are surrogates for dose, rather than dose per-se.

Currently there are several software packages that track the CTDI and SSDE associated with individual CT examinations. This is primarily the result of two causes. The first is due to bureaucracies and governments pressuring clinics and hospitals to monitor the radiation exposure to individuals in our society. The second is due to the personal concerns of patients who are curious about the health risks associated with the ionizing radiation exposure they receive as a result of their diagnostic procedures.

An idea that resonates with clinical imaging physicists is that patients come to the clinic to acquire quality images so they can receive a proper diagnosis, not to be exposed to ionizing radiation. Thus, while it is important to monitor the dose to patients undergoing CT examinations, it is equally, if not more important to monitor the image quality of the clinical images generated by the CT scanners throughout the hospital.

The purposes of the work presented in this thesis are threefold: (1) to develop and validate a fully automated technique to measure spatial resolution in clinical CT images, (2) to develop and validate a fully automated technique to measure image contrast in clinical CT images, and (3) to develop a fully automated technique to estimate radiation dose (not surrogates for dose) from a variety of clinical CT protocols.

Assistant Professor and FCE Co-PI, John Kominoski and collaborators, Chris McVoy and Jim Brock, are investigating the foundational role of floc in the structural and functional attributes of the ridge and slough ecosystems of the Central Everglades.

http://digitalcommons.fiu.edu/fce_lter_photos/1336/thumbnail.jpg

What Makes Online Grocers Work? A Case Study Analysis of Factors Contributing to Online Grocery Store Profitability

This research examined the factors contributing to the performance of online grocers prior to, and following, the 2000 dot.com collapse. The primary goals were to assess the relationship between a company’s business model(s) and its performance in the online grocery channel and to determine if there were other company and/or market related factors that could account for company performance. To assess the primary goals, a case based theory building process was utilized. A three-way cross-case analysis comprising Peapod, GroceryWorks, and Tesco examined the common profit components, the structural category (e.g., pure-play, partnership, and hybrid) profit components, and the idiosyncratic profit components related to each specific company. Based on the analysis, it was determined that online grocery store business models could be represented at three distinct, but hierarchically, related levels. The first level was termed the core model and represented the basic profit structure that all online grocers needed in order to conduct operations. The next model level was termed the structural model and represented the profit structure associated with the specific business model configuration (i.e., pure-play, partnership, hybrid). The last model level was termed the augmented model and represented the company’s business model when idiosyncratic profit components were included. In relation to the five company related factors, scalability, rate of expansion, and the automation level were potential candidates for helping to explain online grocer performance. In addition, all the market structure related factors were deemed possible candidates for helping to explain online grocer performance. The study concluded by positing an alternative hypothesis concerning the performance of online grocers. Prior to this study, the prevailing wisdom was that the business models were the primary cause of online grocer performance. However, based on the core model analysis, it was hypothesized that the customer relationship activities (i.e., advertising, promotions, and loyalty program tie-ins) were the real drivers of online grocer performance.

Bulk density, ash content, humification, peat accumulation and selected lithogenic data of Store Mosse peat bog

This datafile presents chemical and physical as well as age dating information from the Store Mosse peat bog in southern Sweden. This record dates back to 8900 cal yr BP. The aim of the research was to reconstruct mineral dust deposition over time. As such we have only presented the lithogenic element data (Al, Ga, Rb, Sc, Ti, Y, Zr, Th and the REE) as the sample preparation method was tailored to these. This data is supported by parameters describing the deposit including bulk density, humification, ash content and net peat accumulation rates.

Pileated Woodpecker Occupancy and the Occurrence and Recruitment of Key Habitat Attributes in a Managed Forest

Thesis (Master's)--University of Washington, 2016-08

Involvement of Beta-arrestin 1 and Beta-arrestin 2 in store operated calcium entry

Résumé : La variation de la [Ca2+] intracellulaire participe à nombreux de processus biologiques. Les cellules eucaryotes expriment à la membrane plasmique une variété de canaux par lesquelles le calcium peut entrer. Dans les cellules non excitables, deux mécanismes principaux permettent l'entrée calcique; l'entrée capacitative de Ca2+ via Orai1 (SOCE) et l'entrée calcique activé par un récepteur (ROCE). Plusieurs protéines clés sont impliquées dans la régulation de ces voies d'entrée calcique, ainsi que dans l'homéostasie calcique. TRPC6 est un canal calcique impliquée dans l'entrée calcique dans les cellules à la suite d’une stimulation d’un récepteur hormonal. TRPC6 transloque à la membrane cellulaire et il y demeure jusqu'à ce que le stimulus soit retiré. Les mécanismes qui régulent le trafic et l'activation de TRPC6 sont cependant encore peu connus. Des découvertes récentes ont démontré qu'il y a un rôle potentiel de Rho kinase dans l'activité de TRPC6. Rho kinase est activée par la petite protéine G RhoA qui peut être activée par les protéines G hétérotrimériques Gα12 et Gα13. En plus de Gα12 et Gα13, les protéines de désensibilisation des GPCR β -arrestin 1 et / ou β-arrestin 2 peuvent aussi activer RhoA. Le but de notre étude est d'examiner la participation des protéines Gα12/13 et β-arrestin 1/ β-arrestin 2 dans l'activation de TRPC6 et de la protéine Orai1. Nous avons utilisé des ARN interférant (siRNA) spécifiques pour induire une réduction de l'expression de Gα12/13 ou β-arrestin 1/β-arrestin 2. La conséquence sur l’entrée de Ca2+ dans les cellules a été ensuite déterminée par imagerie calcique en temps réel suite à une stimulation par la vasopressine (AVP), thapsigargin ou carbachol. Nous avons donc identifié que dans des cellules A7r5, une lignée cellulaire de musculaires lisses vasculaires où le canal TRPC6 exprimé de manière endogène, la diminution de l’expression des protéines Gα12 ou Gα13 ne semble pas modifier l’entrée Ca2+ induit par l’AVP par rapport aux cellules témoins. D'autre part, la diminution de l’expression β-arrestin 1 ou β-arrestin 2 dans des cellules HEK 293 ainsi que des cellules HEK 293 exprimant de façon stable TRPC6 (cellules T6.11) ont augmenté l’entrée de Ca2+ induite par thapsigargin, un activateur pharmacologique de SOCE. Des études de co-immunoprécipitation démontrent une interaction entre la β-arrestin 1 et STIM1, alors qu'aucune interaction n'a été observée entre les β-arrestin 1 et Orai1. Nous avons de plus montré à l'aide d'analyse en microscopie confocale que la diminution de l’expression β-arrestin 1 ou β-arrestin 2 n’influence pas la quantité d’Orai1 à la périphérie cellulaire. Cependant, des résultats préliminaires indiquent que la diminution de l’expression β-arrestin 1 ou β-arrestin 2 augmente la quantité de STIM1-YFP dans l'espace intracellulaire et diminue sa quantité à la périphérie cellulaire. En conclusion, nous avons montré que les β-arrestin 1 ou β-arrestin 2 sont impliquées dans l'entrée capacitative de Ca2+ (SOCE) et contrôlent la quantité de STIM1 dans le réticulum endoplasmique.