A Comparative Analysis of the Uses of Mediation in the Entertainment Industry

[Excerpt] This paper will provide a broad, and by no means exhaustive, overview of some of the unique ways that mediation is, or could be, used in some of the principal fields of entertainment while, identifying the similarities among them and also noting how they differ. The primary focus will be on film, television, and commercial theater and how mediation has been or could be used in situations specific to these disciplines

#IWILLLISTEN

Mental illness affects one in four Americans. In 2012, the National Alliance on Mental Illness (NAMI) in New York City and JWT Ethos created the #IWILLLISTEN campaign to create awareness about this staggering statistic and what people could do to combat the negative stigma associated with mental illness. In 2014, JWT tasked Outlier Advertising to create a campus-focused version of the campaign in the form of an activation plan that could be initiated on any college campus across the nation in the fall of 2014. In addition, JWT asked Outlier Advertising to test elements of the campaign at the University of Nebraska-Lincoln (UNL) campus. They were implemented April 6-16, 2014. The original #IWILLLISTEN campaign focused on soliciting pledges from the general public in the form of short videos and social media status updates, promising to listen to those affected by mental illness. Based on localized market research in Lincoln, Neb., Outlier Advertising determined that an activation plan targeted toward a college community should focus on mental health instead of mental illness when raising awareness and generating pledges. The UNL activation plan included four main events during Greek Week. Pledges were generated on a 15 feet by 3 feet banner that featured the #IWILLLISTEN logo in high-traffic areas around campus. Another event was the University Program Council (UPC) spring concert featuring Big Sean, which was attended by 4,000 people. Blue glow sticks 1 and free water bottles with the #IWILLLISTEN message helped raise awareness while encouraging concert-goers to make a pledge on the banner. At the spring football scrimmage, which was attended by more than 65,000 people, 1,200 blue wristbands featuring the message #IWILLLISTEN were distributed in the student section in addition to the banner being displayed. The final event was a yoga class held at the Recreation Center to give students, faculty and staff an opportunity to relax and promote mental health. All attendees received wristbands and had an opportunity to pledge to listen. All of the events were supported by social media, primarily Twitter and Facebook, using the #IWILLLISTEN hashtag. The social media content included local facts about mental illness at UNL, reminders about upcoming #IWILLLISTEN events, and updates on pledges. One popular tactic was a localized infographic video that was shared by members of the #IWILLLISTEN online community. Outlier Advertising partnered with prominent and like-minded groups on campus to help distribute the message and to create high-quality videos by campus leaders and influencers, including Chancellor Harvey Perlman, Dr. Pat Tetreault, Assistant Director of the LGBTQA+ Resource Center and Charlie Foster, an on-campus licensed healthcare practitioner. At the conclusion of the week, the campaign had reached an audience of over 90,000 in person, 90,000 on social media and received over 550 in-person pledges

Fine-mapping identifies multiple prostate cancer risk loci at 5p15, one of which associates with TERT expression

Associations between single nucleotide polymorphisms (SNPs) at 5p15 and multiple cancer types have been reported. We have previously shown evidence for a strong association between prostate cancer (PrCa) risk and rs2242652 at 5p15, intronic in the telomerase reverse transcriptase (TERT) gene that encodes TERT. To comprehensively evaluate the association between genetic variation across this region and PrCa, we performed a fine-mapping analysis by genotyping 134 SNPs using a custom Illumina iSelect array or Sequenom MassArray iPlex, followed by imputation of 1094 SNPs in 22 301 PrCa cases and 22 320 controls in The PRACTICAL consortium. Multiple stepwise logistic regression analysis identified four signals in the promoter or intronic regions of TERT that independently associated with PrCa risk. Gene expression analysis of normal prostate tissue showed evidence that SNPs within one of these regions also associated with TERT expression, providing a potential mechanism for predisposition to disease

Fine-mapping the HOXB region detects common variants tagging a rare coding allele: evidence for synthetic association in prostate cancer.

The HOXB13 gene has been implicated in prostate cancer (PrCa) susceptibility. We performed a high resolution fine-mapping analysis to comprehensively evaluate the association between common genetic variation across the HOXB genetic locus at 17q21 and PrCa risk. This involved genotyping 700 SNPs using a custom Illumina iSelect array (iCOGS) followed by imputation of 3195 SNPs in 20,440 PrCa cases and 21,469 controls in The PRACTICAL consortium. We identified a cluster of highly correlated common variants situated within or closely upstream of HOXB13 that were significantly associated with PrCa risk, described by rs117576373 (OR 1.30, P = 2.62×10(-14)). Additional genotyping, conditional regression and haplotype analyses indicated that the newly identified common variants tag a rare, partially correlated coding variant in the HOXB13 gene (G84E, rs138213197), which has been identified recently as a moderate penetrance PrCa susceptibility allele. The potential for GWAS associations detected through common SNPs to be driven by rare causal variants with higher relative risks has long been proposed; however, to our knowledge this is the first experimental evidence for this phenomenon of synthetic association contributing to cancer susceptibility

Fast and efficient QTL mapper for thousands of molecular phenotypes

In order to discover quantitative trait loci, multi-dimensional genomic datasets combining DNA-seq and ChiP-/RNA-seq require methods that rapidly correlate tens of thousands of molecular phenotypes with millions of genetic variants while appropriately controlling for multiple testing

Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction.

Prostate cancer is a highly heritable disease with large disparities in incidence rates across ancestry populations. We conducted a multiancestry meta-analysis of prostate cancer genome-wide association studies (107,247 cases and 127,006 controls) and identified 86 new genetic risk variants independently associated with prostate cancer risk, bringing the total to 269 known risk variants. The top genetic risk score (GRS) decile was associated with odds ratios that ranged from 5.06 (95% confidence interval (CI), 4.84-5.29) for men of European ancestry to 3.74 (95% CI, 3.36-4.17) for men of African ancestry. Men of African ancestry were estimated to have a mean GRS that was 2.18-times higher (95% CI, 2.14-2.22), and men of East Asian ancestry 0.73-times lower (95% CI, 0.71-0.76), than men of European ancestry. These findings support the role of germline variation contributing to population differences in prostate cancer risk, with the GRS offering an approach for personalized risk prediction

Germline variation at 8q24 and prostate cancer risk in men of European ancestry

Chromosome 8q24 is a susceptibility locus for multiple cancers, including prostate cancer. Here we combine genetic data across the 8q24 susceptibility region from 71,535 prostate cancer cases and 52,935 controls of European ancestry to define the overall contribution of germline variation at 8q24 to prostate cancer risk. We identify 12 independent risk signals for prostate cancer (p < 4.28 × 10−15), including three risk variants that have yet to be reported. From a polygenic risk score (PRS) model, derived to assess the cumulative effect of risk variants at 8q24, men in the top 1% of the PRS have a 4-fold (95%CI = 3.62–4.40) greater risk compared to the population average. These 12 variants account for ~25% of what can be currently explained of the familial risk of prostate cancer by known genetic risk factors. These findings highlight the overwhelming contribution of germline variation at 8q24 on prostate cancer risk which has implications for population risk stratification

Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants

Prostate cancer is a polygenic disease with a large heritable component. A number of common, low-penetrance prostate cancer risk loci have been identified through GWAS. Here we apply the Bayesian multivariate variable selection algorithm JAM to fine-map 84 prostate cancer susceptibility loci, using summary data from a large European ancestry meta-analysis. We observe evidence for multiple independent signals at 12 regions and 99 risk signals overall. Only 15 original GWAS tag SNPs remain among the catalogue of candidate variants identified; the remainder are replaced by more likely candidates. Biological annotation of our credible set of variants indicates significant enrichment within promoter and enhancer elements, and transcription factor-binding sites, including AR, ERG and FOXA1. In 40 regions at least one variant is colocalised with an eQTL in prostate cancer tissue. The refined set of candidate variants substantially increase the proportion of familial relative risk explained by these known susceptibility regions, which highlights the importance of fine-mapping studies and has implications for clinical risk profiling. © 2018 The Author(s).Prostate cancer is a polygenic disease with a large heritable component. A number of common, low-penetrance prostate cancer risk loci have been identified through GWAS. Here we apply the Bayesian multivariate variable selection algorithm JAM to fine-map 84 prostate cancer susceptibility loci, using summary data from a large European ancestry meta-analysis. We observe evidence for multiple independent signals at 12 regions and 99 risk signals overall. Only 15 original GWAS tag SNPs remain among the catalogue of candidate variants identified; the remainder are replaced by more likely candidates. Biological annotation of our credible set of variants indicates significant enrichment within promoter and enhancer elements, and transcription factor-binding sites, including AR, ERG and FOXA1. In 40 regions at least one variant is colocalised with an eQTL in prostate cancer tissue. The refined set of candidate variants substantially increase the proportion of familial relative risk explained by these known susceptibility regions, which highlights the importance of fine-mapping studies and has implications for clinical risk profiling. © 2018 The Author(s).Peer reviewe

Cole, Stephen R.

Also available as a printed booklet and from the Dean of Faculty website https://theuniversityfaculty.cornell.edu/Memorial Statement for Stephen R. Cole, who died in 2015. The memorial statements contained herein were prepared by the Office of the Dean of the University Faculty of Cornell University to honor its faculty for their service to the university

Energiekompendium. Ein Nachschlagewerk für Grundbegriffe, Konzepte und Technologien

Das Gelingen der Energiewende erfordert einen weitreichenden Wandel des derzeitigen Energiesystems. Dazu müssen alle Bereiche des Systems enger miteinander verzahnt und in ihrer Gesamtheit umgestaltet werden. Eine wichtige Säule dessen ist die Energieforschung. Dieses Nachschlagewerk richtet sich an alle, die angesichts der vielfältigen Themen einen einfachen und grundlegenden Einstieg in die Begrifflichkeiten der Energieforschung suchen. Die Beiträge sollen dem Leser durch eine Fokussierung auf das Wesentliche helfen, sich schnell mit vielfältigen Themen der Energiewende vertraut zu machen und sich daran zu orientieren. Dazu decken über 3800 Stichwörter bzw. rund 2200 Beiträge sowohl die Grundbegriffe aus Forschung und Technik, damit in Verbindung stehende Konzepte als auch zahlreiche energietechnologische Begriffe ab, die sich über die gesamte Energiewandlungskette hinweg erstrecken