Genia und Guenter Nobel Haftbriefe.

Collection of letters exchanged between Genia and Guenter Nobel during their imprisonment, compiled by the Gedenkstaette Deutscher Widerstand Berlin to accompany the permanent exhibit "Widerstand gegen den Nationalsozialismus"

Jacob Plaut Family Collection Interview Disc circa 1930-1940

Private press aluminum phonographic record sent to Jakob Plaut in Berlin by his sons Günther and Walter in Maine, United States, on his 58th birthday with their birthday wishes and an interview. Each side is only a few minutes long.

Erna Proskauer Collection 1988-1996

The collection contains published materials in honor of Erna Proskauer and her career in law. Also included are speeches and correspondence pertaining to her receiving the German medal of honor, Bundesverdienstkreuz, on April 5, 1995.

Schauplatz Fürstin-Bismarck-Schule.

An article (clipping) about a Jewish high school for girls in Berlin Charlottenburg, 1916-1939.

Bernhard and Hildegard Saenger Collection.

The bulk of the collection consists of two bound manuscripts (930 + 110 pages), representing the notes of the law student Bernhard Saenger during the lectures of Prof. Heinrich Dernburg in Halle, Germany on Roman law in Germany and on Roman inheritance law (Pandektenvorlesung).

[Mein unvergesslicher Vater Nathan Wachtel].

Description of family's escape from Germany to France and Italy, mother's deportation, life in hiding, return to Germany in 1950s.

Energy Efficient GPS Acquisition with Sparse-GPS

Following rising demands in positioning with GPS, low-cost receivers are becoming widely available; but their energy demands are still too high. For energy efficient GPS sensing in delay-tolerant applications, the possibility of offloading a few milliseconds of raw signal samples and leveraging the greater processing power of the cloud for obtaining a position fix is being actively investigated. In an attempt to reduce the energy cost of this data offloading operation, we propose Sparse-GPS(1): a new computing framework for GPS acquisition via sparse approximation. Within the framework, GPS signals can be efficiently compressed by random ensembles. The sparse acquisition information, pertaining to the visible satellites that are embedded within these limited measurements, can subsequently be recovered by our proposed representation dictionary. By extensive empirical evaluations, we demonstrate the acquisition quality and energy gains of Sparse-GPS. We show that it is twice as energy efficient than offloading uncompressed data, and has 5-10 times lower energy costs than standalone GPS; with a median positioning accuracy of 40 m.