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].

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.

Reference list of 265 sources used for the discovery of relationships between data clusters and metadata properties

Visual cluster analysis provides valuable tools that help analysts to understand large data sets in terms of representative clusters and relationships thereof. Often, the found clusters are to be understood in context of belonging categorical, numerical or textual metadata which are given for the data elements. While often not part of the clustering process, such metadata play an important role and need to be considered during the interactive cluster exploration process. Traditionally, linked-views allow to relate (or loosely speaking: correlate) clusters with metadata or other properties of the underlying cluster data. Manually inspecting the distribution of metadata for each cluster in a linked-view approach is tedious, specially for large data sets, where a large search problem arises. Fully interactive search for potentially useful or interesting cluster to metadata relationships may constitute a cumbersome and long process. To remedy this problem, we propose a novel approach for guiding users in discovering interesting relationships between clusters and associated metadata. Its goal is to guide the analyst through the potentially huge search space. We focus in our work on metadata of categorical type, which can be summarized for a cluster in form of a histogram. We start from a given visual cluster representation, and compute certain measures of interestingness defined on the distribution of metadata categories for the clusters. These measures are used to automatically score and rank the clusters for potential interestingness regarding the distribution of categorical metadata. Identified interesting relationships are highlighted in the visual cluster representation for easy inspection by the user. We present a system implementing an encompassing, yet extensible, set of interestingness scores for categorical metadata, which can also be extended to numerical metadata. Appropriate visual representations are provided for showing the visual correlations, as well as the calculated ranking scores. Focusing on clusters of time series data, we test our approach on a large real-world data set of time-oriented scientific research data, demonstrating how specific interesting views are automatically identified, supporting the analyst discovering interesting and visually understandable relationships.

The RAGE Software Asset Model and Metadata Model

Software assets are key output of the RAGE project and they can be used by applied game developers to enhance the pedagogical and educational value of their games. These software assets cover a broad spectrum of functionalities – from player analytics including emotion detection to intelligent adaptation and social gamification. In order to facilitate integration and interoperability, all of these assets adhere to a common model, which describes their properties through a set of metadata. In this paper the RAGE asset model and asset metadata model is presented, capturing the detail of assets and their potential usage within three distinct dimensions – technological, gaming and pedagogical. The paper highlights key issues and challenges in constructing the RAGE asset and asset metadata model and details the process and design of a flexible metadata editor that facilitates both adaptation and improvement of the asset metadata model.

Display At Your Own Risk: The Metadata

This book contains the Exif, XMP, and IPTC metadata extract ed from the 100 digital surrogates featured in Display At Your Own Risk, an online exhibition experiment. In some cases, the metadata is extensive, almost overwhelming; in others, little to no metadata was embedded in the digital surrogate's file at all. Preparing this book to accompany the Display At Your Own Risk exhibition made us realise that metadata can be beautiful. We hope you find beauty here too.

Diaries Metadata

A journal of commercial voyages and domestic life on the Tigris River -- diary metadata.

Collection-Level Subject Access in Aggregations of Digital Collections: Metadata Application and Use

Problems in subject access to information organization systems have been under investigation for a long time. Focusing on item-level information discovery and access, researchers have identified a range of subject access problems, including quality and application of metadata, as well as the complexity of user knowledge required for successful subject exploration. While aggregations of digital collections built in the United States and abroad generate collection-level metadata of various levels of granularity and richness, no research has yet focused on the role of collection-level metadata in user interaction with these aggregations. This dissertation research sought to bridge this gap by answering the question “How does collection-level metadata mediate scholarly subject access to aggregated digital collections?” This goal was achieved using three research methods: • in-depth comparative content analysis of collection-level metadata in three large-scale aggregations of cultural heritage digital collections: Opening History, American Memory, and The European Library • transaction log analysis of user interactions, with Opening History, and • interview and observation data on academic historians interacting with two aggregations: Opening History and American Memory. It was found that subject-based resource discovery is significantly influenced by collection-level metadata richness. The richness includes such components as: 1) describing collection’s subject matter with mutually-complementary values in different metadata fields, and 2) a variety of collection properties/characteristics encoded in the free-text Description field, including types and genres of objects in a digital collection, as well as topical, geographic and temporal coverage are the most consistently represented collection characteristics in free-text Description fields. Analysis of user interactions with aggregations of digital collections yields a number of interesting findings. Item-level user interactions were found to occur more often than collection-level interactions. Collection browse is initiated more often than search, while subject browse (topical and geographic) is used most often. Majority of collection search queries fall within FRBR Group 3 categories: object, concept, and place. Significantly more object, concept, and corporate body searches and less individual person, event and class of persons searches were observed in collection searches than in item searches. While collection search is most often satisfied by Description and/or Subjects collection metadata fields, it would not retrieve a significant proportion of collection records without controlled-vocabulary subject metadata (Temporal Coverage, Geographic Coverage, Subjects, and Objects), and free-text metadata (the Description field). Observation data shows that collection metadata records in Opening History and American Memory aggregations are often viewed. Transaction log data show a high level of engagement with collection metadata records in Opening History, with the total page views for collections more than 4 times greater than item page views. Scholars observed viewing collection records valued descriptive information on provenance, collection size, types of objects, subjects, geographic coverage, and temporal coverage information. They also considered the structured display of collection metadata in Opening History more useful than the alternative approach taken by other aggregations, such as American Memory, which displays only the free-text Description field to the end-user. The results extend the understanding of the value of collection-level subject metadata, particularly free-text metadata, for the scholarly users of aggregations of digital collections. The analysis of the collection metadata created by three large-scale aggregations provides a better understanding of collection-level metadata application patterns and suggests best practices. This dissertation is also the first empirical research contribution to test the FRBR model as a conceptual and analytic framework for studying collection-level subject access.

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.

Tangible mobile app store design for China's new generation migrant worker

China has the largest numbers of Internet users and mobile phone subscribers in the world, as well as the most extensive peacetime internal migration on the planet. Mobile phone uses play a very important role in migrant responses to alienation and discrimination. There are 150 million to 200 million migrant workers in China, 60% of them are the second-generation migrant workers. They support the nation’s manufacturing and industry. The majority of these individuals is poor and is from rural areas of the country. These young people are currently ignored by mainstream mobile device manufacturers, even though this constituency will be a growing consumptive segment in the future. Thus, my research will target the new-generation migrant workers in China, and concentrates on their mobile lives to best develop a tangible mobile devices application store that will improve their mobile experiences.

Seven minutes to Digitize and Describe: An approachable, hands-on metadata workshop

Presentation from the MARAC conference in Roanoke, VA on October 7–10, 2015. S17 - “Un session” II: A MARAC Mini Unconference