The effects of both state and trait anxiety and certain personality variables on performance in a complex motor task

The relationship of anxiety in both its state and trait manifestation to simple motor performance has been established in a number of studies. The present study is an attempt to extend these relationships to more complex motor performances, that is, to the level of a unitary group of motor habits such as is present in an athletic task. In doing this the present study utilizes not only direct assessments of both state and trait anxiety, but also assessment of certain personality traits which may be important in mediating the expression of anxiety and activation level

A profile study and evaluation of the history of the development of public relations practices within a progressive small business in order to determine how such programs are initiated and what results may be expected

Thesis (M.S.)--Boston University, 1953. Includes bibliographical references (leaves 74-75

DNA methylation profiling to assess pathogenicity of BRCA1 unclassified variants in breast cancer

Germline pathogenic mutations in BRCA1 increase risk of developing breast cancer. Screening for mutations in BRCA1 frequently identifies sequence variants of unknown pathogenicity and recent work has aimed to develop methods for determining pathogenicity. We previously observed that tumor DNA methylation can differentiate BRCA1-mutated from BRCA1-wild type tumors. We hypothesized that we could predict pathogenicity of variants based on DNA methylation profiles of tumors that had arisen in carriers of unclassified variants. We selected 150 FFPE breast tumor DNA samples [47 BRCA1 pathogenic mutation carriers, 65 BRCAx (BRCA1-wild type), 38 BRCA1 test variants] and analyzed a subset (n=54) using the Illumina 450K methylation platform, using the remaining samples for bisulphite pyrosequencing validation. Three validated markers (BACH2, C8orf31, and LOC654342) were combined with sequence bioinformatics in a model to predict pathogenicity of 27 variants (independent test set). Predictions were compared with standard multifactorial likelihood analysis. Prediction was consistent for c.5194-12G>A (IVS 19-12 G>A) (P>0.99); 13 variants were considered not pathogenic or likely not pathogenic using both approaches. We conclude that tumor DNA methylation data alone has potential to be used in prediction of BRCA1 variant pathogenicity but is not independent of estrogen receptor status and grade, which are used in current multifactorial models to predict pathogenicity

Long-range energy-state maneuvers for minimum time to specified terminal conditions.

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76474/1/AIAA-1973-229-104.pd