Hs. Rothschild 4° 108 - Testament der Jeanette Worms geborene Rothschild mit Nachtrag und Codicillen aus den Jahren 1829 - 1859 (Abschriften)

Vorbesitzer: Freiherrlich Carl von Rothschild'sche Bibliothek Frankfurt am Main; alte Signatur: Hs. in Quart 108

Hs. Rothschild 4° 114 - Testament des Bernhard Juda Sichel und seiner Ehegattin Betty aus dem Jahr 1858 (Abschrift)

Vorbesitzer: Freiherrlich Carl von Rothschild'sche Bibliothek Frankfurt am Main; alte Signatur: Hs. in Quart 114

Hs. Rothschild 4° 109 - Testament der Jeanette Worms geborene Rothschild mit Nachtrag und Codicillen aus den Jahren 1829 - 1859 (Abschriften)

Vorbesitzer: Freiherrlich Carl von Rothschild'sche Bibliothek Frankfurt am Main; alte Signatur: Hs. in Quart 109

Hs. Rothschild 8° 57 - 35 Briefe der Freiin Louise von Rothschild und ihrer Tochter Hannah Louise von Rothschild an den Buchhändler Moritz Abendroth aus den Jahren 1875 - 1889

Vorbesitzer: Moritz Abendroth; Fräulein Abendroth; Freiherrlich Carl von Rothschild'sche öffentliche Bibliothek; alte Signatur: Hs. in Oktav 57; Hs in 8° 57

Recensioner av tre publikationer: 1. Utvandrarna och den stora depressionen av Ulf Beijbom. 2. Landsmän. De danska judarnas flykt i oktober 1943 av Bo Lidegaard. 3. Det städade folkhemmet. Tyskfödda hembiträden i efterkrigstidens Sverige av Emma Strollo.

Bokrecension

EMMA 2--a MAGE-compliant system for the collaborative analysis and integration of microarray data

Background: Understanding transcriptional regulation by genome-wide microarray studies can contribute to unravel complex relationships between genes. Attempts to standardize the annotation of microarray data include the Minimum Information About a Microarray Experiment (MIAME) recommendations, the MAGE-ML format for data interchange, and the use of controlled vocabularies or ontologies. The existing software systems for microarray data analysis implement the mentioned standards only partially and are often hard to use and extend. Integration of genomic annotation data and other sources of external knowledge using open standards is therefore a key requirement for future integrated analysis systems. Results: The EMMA 2 software has been designed to resolve shortcomings with respect to full MAGE-ML and ontology support and makes use of modern data integration techniques. We present a software system that features comprehensive data analysis functions for spotted arrays, and for the most common synthesized oligo arrays such as Agilent, Affymetrix and NimbleGen. The system is based on the full MAGE object model. Analysis functionality is based on R and Bioconductor packages and can make use of a compute cluster for distributed services. Conclusion: Our model-driven approach for automatically implementing a full MAGE object model provides high flexibility and compatibility. Data integration via SOAP-based web-services is advantageous in a distributed client-server environment as the collaborative analysis of microarray data is gaining more and more relevance in international research consortia. The adequacy of the EMMA 2 software design and implementation has been proven by its application in many distributed functional genomics projects. Its scalability makes the current architecture suited for extensions towards future transcriptomics methods based on high-throughput sequencing approaches which have much higher computational requirements than microarrays.

Causes of injuries resulting in hospitalisation in Australia : assessing coder agreement on external causes

Objective: To assess extent of coder agreement for external causes of injury using ICD-10-AM for injury-related hospitalisations in Australian public hospitals. Methods: A random sample of 4850 discharges from 2002 to 2004 was obtained from a stratified random sample of 50 hospitals across four states in Australia. On-site medical record reviews were conducted and external cause codes were assigned blinded to the original coded data. Code agreement levels were grouped into the following agreement categories: block level, 3-character level, 4-character level, 5th-character level, and complete code level. Results: At a broad block level, code agreement was found in over 90% of cases for most mechanisms (eg, transport, fall). Percentage disagreement was 26.0% at the 3-character level; agreement for the complete external cause code was 67.6%. For activity codes, the percentage of disagreement at the 3-character level was 7.3% and agreement for the complete activity code was 68.0%. For place of occurrence codes, the percentage of disagreement at the 4-character level was 22.0%; agreement for the complete place code was 75.4%. Conclusions: With 68% agreement for complete codes and 74% agreement for 3-character codes, as well as variability in agreement levels across different code blocks, place and activity codes, researchers need to be aware of the reliability of their specific data of interest when they wish to undertake trend analyses or case selection for specific causes of interest.