Article about the Ballet Austin Fete Gothic event, the One Country Concert, and La Cage: Vegas in Austin.

Because the emphasis of the LHC is on 5{sigma} discoveries and the LHC environment induces high systematic errors, many of the common statistical procedures used in High Energy Physics are not adequate. I review the basic ingredients of LHC searches, the sources of systematics, and the performance of several methods. Finally, I indicate the methods that seem most promising for the LHC and areas that are in need of further study.

Article discussing a collaborative project to examine literature and research on the Amish culture.

Krueppel-type zinc finger (ZNF) motifs are prevalent components of transcription factor proteins in all eukaryotic species. In mammals, most ZNF proteins comprise a single class of transcriptional repressors in which a chromatin interaction domain, called the Krueppel-associated box (KRAB) is attached to a tandem array of DNA-binding zinc-finger motifs. KRAB-ZNF loci are specific to tetrapod vertebrates, but have expanded dramatically in numbers through repeated rounds of segmental duplication to create a gene family with hundreds of members in mammals. To define the full repertoire of human KRAB-ZNF proteins, we searched the human genome for key motifs and used them to construct and manually curate gene models. The resulting KRAB-ZNF gene catalog includes 326 known genes, 243 of which were structurally corrected by manual annotation, and 97 novel KRAB-ZNF genes; this single family therefore comprises 20% of all predicted human transcription factor genes. Many of the genes are alternatively spliced, yielding a total of 743 distinct predicted proteins. Although many human KRAB-ZNF genes are conserved in mammals, at least 136 and potentially more than 200 genes of this type are primate-specific including many recent segmental duplicates. KRAB-ZNF genes are active in a wide variety of human tissues suggesting roles in many …

The goal of ''as-built'' computational modeling is to incorporate the most representative geometry and material information for an (fabricated or legacy) object into simulations. While most engineering finite element simulations are based on an object's idealized ''as-designed'' configuration with information obtained from technical drawings or computer-aided design models, ''as-built'' modeling uses nondestructive characterization and metrology techniques to provide the feature information. By incorporating more representative geometry and material features as initial conditions, the uncertainty in the simulation results can be reduced, providing a more realistic understanding of the event and object being modeled. In this paper, key steps and technology areas in the as-built modeling framework are: (1) inspection using non-destructive characterization (NDC) and metrology techniques; (2) data reduction (signal and image processing including artifact removal, data sensor fusion, and geometric feature extraction); and (3) engineering and physics analysis using finite element codes. We illustrate the process with a cylindrical phantom and include a discussion of the key concepts and areas that need improvement. Our results show that reasonable as-built initial conditions based on a volume overlap criteria can be achieved and that notable differences between simulations of the as-built and as-designed configurations can be observed for a given load …