The Aussie, 1918-1931: cartoons, digger remembrance and First World War identity

Feelings of community, cultural definition and memory were kept alive through the soldiers’ mass circulation tabloid, the Aussie, examined here in the light of theorization of memory and representation, applied to both text and cartoons. The publication’s aim for veterans’ values to become shared national values is analysed in the light of its high profile usage of soft cartoon humour and also of nostalgia – highlighting the limitations as well as the effectiveness in terms of Australia’s evolving national identity. When the post-war economic situation worsened, deeper issues of national tension were glossed over by the use of scapegoats such as ‘profiteers’ and ‘lazy workers’. The armed forces were obliged to take on a political role of lobbying for their cause, but the Aussie as ‘cheerful friend’ experienced its own identity crisis that proved to be terminal

PATRIC: The VBI PathoSystems Resource Integration Center

The PathoSystems Resource Integration Center (PATRIC) is one of eight Bioinformatics Resource Centers (BRCs) funded by the National Institute of Allergy and Infection Diseases (NIAID) to create a data and analysis resource for selected NIAID priority pathogens, specifically proteobacteria of the genera Brucella, Rickettsia and Coxiella, and corona-, calici- and lyssaviruses and viruses associated with hepatitis A and E. The goal of the project is to provide a comprehensive bioinformatics resource for these pathogens, including consistently annotated genome, proteome and metabolic pathway data to facilitate research into counter-measures, including drugs, vaccines and diagnostics. The project's curation strategy has three prongs: ‘breadth first’ beginning with whole-genome and proteome curation using standardized protocols, a ‘targeted’ approach addressing the specific needs of researchers and an integrative strategy to leverage high-throughput experimental data (e.g. microarrays, proteomics) and literature. The PATRIC infrastructure consists of a relational database, analytical pipelines and a website which supports browsing, querying, data visualization and the ability to download raw and curated data in standard formats. At present, the site warehouses complete sequences for 17 bacterial and 332 viral genomes. The PATRIC website () will continually grow with the addition of data, analysis and functionality over the course of the project

A micro-founded comparison of fiscal policies: indirect and direct job creation

This paper provides a micro-economic foundation for an argument that direct employment by a government is more desirable than government purchase of private goods to eliminate unemployment. A general equilibrium model with monopolistic competition is devised, and the effects of policy parameters (government purchase, government employment, and tax rate) on macroeconomic variables (consumption, price, and profit) are investigated. It is shown that 1) the government purchase is inflationary in the sense that additional effective demand by a government not only increases private employment but also raises prices; 2) the government employment can achieve full employment without causing a rise in prices.Comment: 16 page

Characterization of genome-wide H3K27ac profiles reveals a distinct PM2.5-associated histone modification signature

Complete list of differentially modified H3K27ac loci. (XLSX 69 kb

Discovering Jewish Studies Collections in Academic Libraries: A Practical Guide

The U.S. colleges and universities offering non-sectarian educational programs in Jewish Studies rely on the support of their academic libraries for research materials and library services. For college libraries which use Library of Congress Classification scheme, it is a common practice to integrate studies resources into their general library collections. Since Jewish Studies sources span a vast number of subjects within all major disciplines, shelving integration leads to the dispersion of all relevant sources and such dispersion in turn leads to a variety of problems for library professionals and library users. For collection development librarians the problems range from lack of information about collection\u27s size, strengths or weaknesses, and for library users interested in browsing the collection, dispersion of subjects creates a major roadblock. This practical guide aims at providing a solution to such problems. By identifying all relevant Library of Congress call numbers and the corresponding Library of Congress subject headings, the guide offers a simplified access to Jewish Studies sources in general library collections. It is arranged by four major discipline: Arts & Humanities, Social Sciences, Sciences, and General Works & Bibliographies. Within each discipline, specific LC call number ranges and corresponding subjects are listed. The subjects are further subdivided and precisely identified. The guide will assist collection development librarians, library liaisons, grants and fundraising professionals and especially the Jewish Studies faculty and students, in identifying and locating relevant sources

Public Health Rep

19315799PMCnul

Charakterisierung von in vivo Modellen des humanen nicht-kleinzelligen Lungenkarzinoms zur Therapieoptimierung

Das Bronchialkarzinom ist die häufigste Todesursache bei den Krebserkrankungen und weist eine schlechte Prognose auf. Die Behandlung besteht aus einer Chemotherapie mit platinbasierten Medikamenten, doch der Erfolg ist unbefriedigend. In den letzten Jahren wurden zielgerichtete Therapien gegen Proteine wie den EGFR entwickelt. Klinische Studien zeigten, dass nur Subpopulationen von den Medikamenten Erlotinib und Cetuximab profitieren. Eine bessere (Vor-)Selektion der Patienten ist wünschenswert, um unnötige Behandlungen zu vermeiden. Für diese Analysen bedarf es relevanter präklinischer Modelle. Im Rahmen dieser Arbeit wurden 25 Xenograftmodelle des Lungenkarzinoms vergleichend charakterisiert. Ein Schwerpunkt bestand im Vergleich der Xenografts mit ihren Patiententumoren. Die Analyse der Histologie, der Proliferationsmarker als auch der Genexpressionsprofile fand übereinstimmende Ergebnisse in den Patiententumoren und ihren abgeleiteten Xenografts. Mit Hilfe von mRNA-, Protein- und SNP-Profilen ressistenzassoziierter Marker der Chemotherapie konnte die Bedeutung der Modelle zur Charakterisierung von prädiktiven und prognostischen Markern aufklärt werden. Diese Arbeit untersuchte auch Marker der anti-EGFR-Therapien. mRNA- und Proteinprofile der ERBB-Rezeptoren sowie der Liganden wurden erstellt und stimmten mit publizierten klinischen Daten überein. Genexpressionsstudien in Erlotinib Respondern und Non-Respondern zur Therapieoptimierung identifizierten den Wachstumsfaktor VEGFA als Ziel für eine Kombinationsbehandlung mit dem Angiogeneseinhibitor Bevacizumab. Die Kombination von Bevacizumab mit Erlotinib führte zu einem reduzierten Tumorwachstum. Die Ergebnisse dieser Arbeit machten deutlich, dass die individuellen Tumoreigenschaften in den patientenabgleiteten Xenografts auf Gen- und Proteinebene erhalten bleiben und diese als Modelle zur Markeranalyse sowie zur Therapieoptimierung eingesetzt werden können.Lung cancer is still one of the most frequent cancers worldwide. The treatment option is classical chemotherapy that is based upon the combination of platin-based drugs. But no further improvement seems to be possible. For some years targeted drugs against single proteins like the EGFR were developed. The clinical trials showed that only subpopulations of patients benefit from the treatment. A better selection of patients to avoid treatment would be helpful. Therefore, pre-clinical models that are suitable for analysis and that represent clinical populations of patients are required. In this work 25 patient derived xenografts from lung cancer were intensely studied. First, the xenografts were compared with their corresponding patient tumor. The analysis of the histology and the expression of proliferation and epithelial or mesenchymal markers showed concordance of the patient tumor and the derived xenograft. The gene expression profiles were also maintained. Further analysis should elucidate the relevance of the xenografts as models for the characterisation and validation of predictive and prognostic markers. SNP, mRNA and protein expression profiles of resistance markers for chemotherapy were generated and showed similarities with clinical data. As marker for the anti-EGFR targeted therapies the ERBB receptors and the ligands of the EGFR were analysed. The mRNA and protein expression profiles resemble clinical data sets. An optimisation of the therapy should be achieved with gene expression studies. The vascular endothelial growth factor A was identified for a combination treatment with the anti-angiogenic drug bevacizumab in erlotinib resistant tumors. The combination of erlotinib and bevacizumab reduced the tumor growth in selected models. In summary, the analysis could show that the individual characteristics of the patient tumor were maintained in the xenograft. The models are a reliable tool for studies designed to improve treatment strategies