Massachusetts Healthy Aging Data Report: Community Profiles

The Massachusetts Healthy Aging Data Report: Community Profiles was created by researchers at the Gerontology Institute of the John W. McCormack Graduate School of Policy and Global Studies at the University of Massachusetts Boston and commissioned by the Tufts Health Plan Foundation. In this report, we have created a custom profile of nearly 100 healthy aging indicators for every city and town in Massachusetts including the 16 neighborhoods of Boston (367 Community Profiles). Each Community Profile is designed to help community residents, agencies, providers, and governments understand the older adults who live in their cities and towns – their ages, living arrangements, health status, strengths, and vulnerabilities. Never before has Massachusetts had such a comprehensive view of healthy aging indicators reported at this local geographic level

Challenging futures of biodiversity offsets and banking : Critical issues for robust forms of biodiversity conservation

The underlying project “Innovation in Governance” (Grant No. 01UU0906) from which this publication derives is funded by the Federal Ministry of Education and Research (BMBF), Germany.The interactive and anticipatory assessment exercise on which this report is based was part of a broader research project that focused on the innovation dynamics of governance instruments in the areas of environmental markets, public participation methods and sustainability transition management. By circulating these workshop results, we seek to contribute to a debate on biodiversity offsets and banking design with regard to constituting political reality in biodiversity conservation models.BMBF, 01UU0906, Innovation in Governanc

Challenging futures of citizen panels : critical issues for robust forms of public participation

The underlying project “Innovation in Governance” (Grant No. 01UU0906) from which this publication derives is funded by the Federal Ministry of Education and Research (BMBF), Germany.The interactive and anticipatory assessment exercise on which this report is based was part of a broader research project that focused on the innovation dynamics of governance instruments in the areas of public participation methods, environmental markets and sustainability transition management. By circulating these workshop results, we seek to contribute to a debate on citizen panel design with regard to constituting political reality in public participation models.BMBF, 01UU0906, Innovation in Governanc

Die interne Struktur von Subduktionszonen : das Zusammenspiel geophysikalischer Methoden ergibt ein detailliertes Bild

Geophysical research in subduction zones is based on bathymetric, seismic, magnetic, gravimetric measurement as well as numerical and analog modeling. Their combined interpretation leads to an image of the sub-surface and the dynamic processes related with subduction type and to estimate fluid and mass transfer within the subduction complex. The top of the subducting oceanic plate can be imaged seismically, which could have pracical implications for more precise earthquake hazard analysis in the areas investigate

Post epidemic giardiasis and gastrointestinal symptoms among preschool children in Bergen, Norway. A cross-sectional study

<p>Abstract</p> <p>Background</p> <p>A surprisingly low number of children became ill with giardiasis during the large waterborne outbreak of <it>Giardia lamblia </it>in Bergen, Norway during autumn 2004. The aim of the present study was to evaluate the prevalence of giardiasis among exposed children one year after an outbreak and compare faecal carriage of <it>Giardia </it>and abdominal symptoms among exposed versus unexposed children one year after the epidemic.</p> <p>Methods</p> <p>Children between 1 and 6 years old were recruited from the local health care centres in Bergen municipality in the period between June 2005 and January 2006. One faecal sample per child was collected and examined for presence of <it>Giardia </it>with a rapid immunoassay antigen test, and parents were asked to answer a questionnaire. A total of 513 children participated, 378 in the group exposed to contaminated water, and 135 in the in the group not exposed.</p> <p>Results</p> <p>In the exposed group eleven children had been treated for giardiasis during the epidemic and none in the unexposed group. <it>Giardia </it>positive faecal tests were found in six children, all in the exposed group, but the difference between the groups did not reach statistical significance. All six <it>Giardia </it>positive children were asymptomatic. No differences were found between the groups regarding demographic data, nausea, vomiting, different odour from stools and eructation. However, the reported scores of abdominal symptoms (diarrhoea, bloating and stomach ache) during the last year were higher in the exposed group than in the unexposed group.</p> <p>Conclusions</p> <p>A low prevalence of asymptomatic <it>Giardia </it>infection (1.7%) was found among exposed children around one year after the epidemic (1.2% overall prevalence in the study). In the present setting, pre-school children were therefore unlikely to be an important reservoir for continued transmission in the general population.</p

Quantitative proteomics combined with BAC TransgeneOmics reveals in vivo protein interactions

QUBIC, a specific and highly sensitive method for detection of protein–protein interactions, is used to identify new partners for the mitotic spindle components pericentrin and TACC3

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts

Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

Although theMYConcogene has been implicated incancer, a systematic assessment of alterations ofMYC, related transcription factors, and co-regulatoryproteins, forming the proximal MYC network (PMN),across human cancers is lacking. Using computa-tional approaches, we define genomic and proteo-mic features associated with MYC and the PMNacross the 33 cancers of The Cancer Genome Atlas.Pan-cancer, 28% of all samples had at least one ofthe MYC paralogs amplified. In contrast, the MYCantagonists MGA and MNT were the most frequentlymutated or deleted members, proposing a roleas tumor suppressors.MYCalterations were mutu-ally exclusive withPIK3CA,PTEN,APC,orBRAFalterations, suggesting that MYC is a distinct onco-genic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such asimmune response and growth factor signaling; chro-matin, translation, and DNA replication/repair wereconserved pan-cancer. This analysis reveals insightsinto MYC biology and is a reference for biomarkersand therapeutics for cancers with alterations ofMYC or the PMN

Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment