K-Theoretic Characterization of C*-Algebras with Approximately Inner Flip

The author is supported by an NSERC PDF.

Shere Hite, Susan Brownmiller, and Andrea Dworkin (speaking) at pornography speak out

General note: Title and date provided by Bettye Lane.

Circle of support rally for Jane Alpert (Anti-war activist). Left to right: Kierstan Grimstand, Susan Rennie, Andrea Dworkin, Florence Rush, Rosetta Reitz.

General note: Title and date provided by Bettye Lane. Digital reproduction

Musical commonplace book : manuscript, [approximately 1790-approximately 1810]

Contains songs, partly from English operas, and instrumental music.

Ah' quest'amplesso, o cara: scena e duetto nella Cleopatra / manuscript, [approximately 1800]

del Sig:re Sebastiano Nasolini :

Andrea Oberhuber, Alexandra Arvisais et Marie-Claude Dugas, dir., Fictions modernistes du masculin-féminin : 1910-1940

Compte rendu de OBERHUBER, Andrea, Alexandra ARVISAIS et Marie-Claude DUGAS (dir.), Fictions modernistes du masculin-féminin : 1910-1940, Presses universitaires de Rennes, 2016, 314 p. (ISBN : 978-2-7535-4884-8)

1976 Andrea Jackson

1976-1977 Miss Lincoln

Andrea Oberhuber, Alexandra Arvisais et Marie-Claude Dugas, dir., Fictions modernistes du masculin-féminin : 1910-1940

Compte rendu de OBERHUBER, Andrea, Alexandra ARVISAIS et Marie-Claude DUGAS (dir.), Fictions modernistes du masculin-féminin : 1910-1940, Presses universitaires de Rennes, 2016, 314 p. (ISBN : 978-2-7535-4884-8)

Table 2: Age information for the analyzed cores

Five plankton groups, including diatoms, radiolarians, coccolithophores, foraminifers, and dinoflagellate cysts, were synoptically analyzed in six sediment cores and two sediment traps from the Norwegian-Greenland Sea and the North Atlantic in order to provide more detailed insights into the paleoclimatic and paleoceanographic evolution and the development of plankton assemblages of the northern North Atlantic during the last 15,000 years. Based on Q-mode factor analyses, cold, warm, transitional, and relict assemblages were calculated for each of the plankton groups. Data from the different plankton groups complement one another, although they are not always consistent. However, the multiple plankton-group data set is able to bridge intervals in which single groups lack preservation or the ability to react to changes. Synoptically interpreted, the results provide a detailed picture of the response of plankton assemblages to environmental changes during the time period investigated, which includes the B0lling/Aller0d interstadial, the Younger Dryas cold spell, Termination IB, and, in all likelihood, also the "8,200 Event", and the Hypsithermal (approximately 8-4 14C ky BP).

A cloud-based system for measuring radiation treatment plan similarity

PURPOSE: Radiation therapy is used to treat cancer using carefully designed plans that maximize the radiation dose delivered to the target and minimize damage to healthy tissue, with the dose administered over multiple occasions. Creating treatment plans is a laborious process and presents an obstacle to more frequent replanning, which remains an unsolved problem. However, in between new plans being created, the patient's anatomy can change due to multiple factors including reduction in tumor size and loss of weight, which results in poorer patient outcomes. Cloud computing is a newer technology that is slowly being used for medical applications with promising results. The objective of this work was to design and build a system that could analyze a database of previously created treatment plans, which are stored with their associated anatomical information in studies, to find the one with the most similar anatomy to a new patient. The analyses would be performed in parallel on the cloud to decrease the computation time of finding this plan. METHODS: The system used SlicerRT, a radiation therapy toolkit for the open-source platform 3D Slicer, for its tools to perform the similarity analysis algorithm. Amazon Web Services was used for the cloud instances on which the analyses were performed, as well as for storage of the radiation therapy studies and messaging between the instances and a master local computer. A module was built in SlicerRT to provide the user with an interface to direct the system on the cloud, as well as to perform other related tasks. RESULTS: The cloud-based system out-performed previous methods of conducting the similarity analyses in terms of time, as it analyzed 100 studies in approximately 13 minutes, and produced the same similarity values as those methods. It also scaled up to larger numbers of studies to analyze in the database with a small increase in computation time of just over 2 minutes. CONCLUSION: This system successfully analyzes a large database of radiation therapy studies and finds the one that is most similar to a new patient, which represents a potential step forward in achieving feasible adaptive radiation therapy replanning.