Round Bowl with Floral Openwork (Guyu 3363)

H: 3 45/64 in.; D(mouth): 5 15/16 in.; white jade

Round Bowl with Floral Openwork (Guyu 3363), bottom and detail of openwork

white jade

Small Jue Cup (Guyu 3361), side

2 1/64 in.x 2 29/32 in.x 2 7/16 in.; white jade

Small Jue Cup (Guyu 3361), cloth bag, bottom and side

white jade

Tomb, excavated artifact, Huan ring

Henan. Luoyang. Jianxi; Outer diameter: 3 13/16 in.; jade

Tomb, excavated artifact, Huan ring: detail

Henan. Luoyang. Jianxi; jade

Pounamu, notes on New Zealand greenstone,

Mode of access: Internet.

School of Nursing Class of 2006

Top Row: Rebecca Adams, Leslie Babich, Katherine Banas, Lori Barnett, Stacey Bednarz, Kelly C Berryman, Adam Brieger, Tina Brown, Kimberly Burleigh, Anne Byrne, Julia Carl, Terra Caswell, Angela Chabot, Molly Colgan, Desiree Conyers, Amy Cook, Melissa Cooley, Ashley Cooper, Morgan Cornell

Row 2: Delphine Cornet, Laura Cortina, Casey Cox, Bradley Crow, Lauren D'Agostino, Katelyn Davis, Kara Dendrinos, Rachael Dunckel, Carolyn Ellis, Kristin Ellis

Row 3: Deonna French, Erin Gasser, Amanda George, Michelle Gilmore, Jacquelene Goyett, LaRonda Gracia, Tera Greenberg, Tracy Guzzardo, Amy Hamlin Tapper, Shawn Hathaway

Row 4: Jennifer Heller, Michele Hetfield, Hilary Heuer, Christen Hicks, unknown, Melissa Jenkins, Terri Jobkar, Jennifer Keller, Karissa Kerg, Katherine Kern

Row 5: Keri Kingma, Amanda Kristofik, Brigid Kutner, Melissa LaDuke, Lorraine Law, Katherine Lawler, Allison Ledtke, Corinne Lee

Row 6: Kerrie Lemerand, Kristen Maki, Smith Margaret, Cynthia Mathew, Thomas Mazzocco, Cara McAlpin

Row 7: Lana McCarthy, Erin McKeever, Nicolyn Meek, Patricia Coleman-Burns, Carol Loveland-Cherry, Judith Lynch-Sauer, Ada Sue Hinshaw, Barbara Guthrie, Marge Calarco, Carolyn Sampeselle, Joanne Pohl, Therese Messing, Rachel Milkowski, Renee Miller

Row 8: Andrea S Miller, Stephanie Mizer, Melissa Morgan, Heather Bidgoli, Elisa Brunetto, Jessica Cleghorn, Jade Curry, Ashley Dorow, Megan Finn, Lisa Gruen, Margaret Kelemen, Andrea Munger, Elizabeth Spencer, Mary Vanderweele, Abigail Vertalka, Jackelyn Ng, Phuong Nguyen, Gracia Nicolaescu

Row 9: Laura Norris, Elizabeth Osborn, Lavinia Pacurar, Carly Palmer, Kristine Parish, Jill Patterson, Mary Pepper, David Perout, Michael Pfeifer, Kristin Phillips, Susanne Pickman, Vanessa Polly, Sabrina Porter, Christina Quillan, Lauren Ramoie, Natasha Rivers, Teresa Roberts, Megan Robertson, Byanqa Robinson

Row 10: Mary Rodzik, Kimberly Sanders, Weber Sasha, Rebecca Scheiblauer, Taylor Schmidt, Jacquelyn Schrot, Tanya Shisler, Daniel Shivel, Sophia Shyu, Michelle Skurulsky, Melissa Smalligan, Erin Sorensen, Allison Spinweber, Lindsay Steiger, Natalya Stokely, Karen Stoneburner, Katherine Stout, Stephanie Swihart, Aaron Taylor

Row 11: Lori Thome, Christopher Thuer, Carolyn Trabka, Kathryn Trommbley, Valerie Tumbleson, Stacey Ventola, Dana Verkade, Caitlyn Vert, Angela Videto, Kari Wanless, Abby Wegener, Stephanie Westphal, Eric Williams, Whitney Zachritz, Amber Zemer, Joanna Zizzo, Chelsea Zussman

Substrate specifity of protein kinases and computational prediction of substrates

To ensure signalling fidelity, kinases must act only on a defined subset of cellular targets. Appreciating the basis for this substrate specificity is essential for understanding the role of an individual protein kinase in a particular cellular process. The specificity in the cell is determined by a combination of peptide specificity of the kinase (the molecular recognition of the sequence surrounding the phosphorylation site), substrate recruitment and phosphatase activity. Peptide specificity plays a crucial role and depends on the complementarity between the kinase and the substrate and therefore on their three-dimensional structures. Methods for experimental identification of kinase substrates and characterization of specificity are expensive and laborious, therefore, computational approaches are being developed to reduce the amount of experimental work required in substrate identification. We discuss the structural basis of substrate specificity of protein kinases and review the experimental and computational methods used to obtain specificity information. (c) 2005 Elsevier B.V. All rights reserved.

Multiagent realization of prediction-based diagnosis and loss prevention

A multiagent diagnostic system implemented in a Protege-JADE-JESS environment interfaced with a dynamic simulator and database services is described in this paper. The proposed system architecture enables the use of a combination of diagnostic methods from heterogeneous knowledge sources. The process ontology and the process agents are designed based on the structure of the process system, while the diagnostic agents implement the applied diagnostic methods. A specific completeness coordinator agent is implemented to coordinate the diagnostic agents based on different methods. The system is demonstrated on a case study for diagnosis of faults in a granulation process based on HAZOP and FMEA analysis.

Quantitative analysis of DNA-protein interactions using double-labeled native gel electrophoresis and fluorescence-based imaging

We have developed a sensitive, non-radioactive method to assess the interaction of transcription factors/DNA-binding proteins with DNA. We have modified the traditional radiolabeled DNA gel mobility shift assay to incorporate a DNA probe end-labeled with a Texas-red fluorophore and a DNA-binding protein tagged with the green fluorescent protein to monitor precisely DNA-protein complexation by native gel electrophoresis. We have applied this method to the DNA-binding proteins telomere release factor-1 and the sex-determining region-Y, demonstrating that the method is sensitive (able to detect 100 fmol of fluorescently labeled DNA), permits direct visualization of both the DNA probe and the DNA-binding protein, and enables quantitative analysis of DNA and protein complexation, and thereby an estimation of the stoichiometry of protein-DNA binding.

Interhemispheric differences of spectral power in expressive language:a MEG study with clinical applications

In the last decade we have seen an exponential growth of functional imaging studies investigating multiple aspects of language processing. These studies have sparked an interest in applying some of the paradigms to various clinically relevant questions, such as the identification of the cortical regions mediating language function in surgical candidates for refractory epilepsy. Here we present data from a group of adult control participants in order to investigate the potential of using frequency specific spectral power changes in MEG activation patterns to establish lateralisation of language function using expressive language tasks. In addition, we report on a paediatric patient whose language function was assessed before and after a left hemisphere amygdalo-hippocampectomy. Our verb generation task produced left hemisphere decreases in beta-band power accompanied by right hemisphere increases in low beta-band power in the majority of the control group, a previously unreported phenomenon. This pattern of spectral power was also found in the patient's post-surgery data, though not her pre-surgery data. Comparison of pre and post-operative results also provided some evidence of reorganisation in language related cortex both inter- and intra-hemispherically following surgery. The differences were not limited to changes in localisation of language specific cortex but also changes in the spectral and temporal profile of frontal brain regions during verb generation. While further investigation is required to establish concordance with invasive measures, our data suggest that the methods described may serve as a reliable lateralisation marker for clinical assessment. Furthermore, our findings highlight the potential utility of MEG for the investigation of cortical language functioning in both healthy development and pathology.

Neurophysiology of CSWS-associated cognitive dysfunction

The phenomenon of continuous spikes and waves during slow-wave sleep (CSWS) is associated with a number of epileptic syndromes, which share a behavioral phenotype characterized by deterioration of cognitive, behavioral, or sensorimotor functions. Available evidence seems to suggest that spike-wave activity is a result of a complex interaction between cortical and subcortical inhibitory networks and can "per se" produce a transient loss of underlying cortical functions. Syndromes like Landau-Kleffner syndrome, CSWS, and phenomena such as negative myoclonus could share in common--at least at the neurophysiological level--some similarities. Differences in behavioral phenotypes could be explained in term of maturational and genetic differences, as well as by the functional specificity of the involved areas.

Immunoinformatic evaluation of multiple epitope ensembles as vaccine candidates:E coli 536

Epitope prediction is becoming a key tool for vaccine discovery. Prospective analysis of bacterial and viral genomes can identify antigenic epitopes encoded within individual genes that may act as effective vaccines against specific pathogens. Since B-cell epitope prediction remains unreliable, we concentrate on T-cell epitopes, peptides which bind with high affinity to Major Histacompatibility Complexes (MHC). In this report, we evaluate the veracity of identified T-cell epitope ensembles, as generated by a cascade of predictive algorithms (SignalP, Vaxijen, MHCPred, IDEB, EpiJen), as a candidate vaccine against the model pathogen uropathogenic gram negative bacteria Escherichia coli (E-coli) strain 536 (O6:K15:H31). An immunoinformatic approach was used to identify 23 epitopes within the E-coli proteome. These epitopes constitute the most promiscuous antigenic sequences that bind across more than one HLA allele with high affinity (IC50 <50nM). The reliability of software programmes used, polymorphic nature of genes encoding MHC and what this means for population coverage of this potential vaccine are discussed.

BMI not WHR modulates BOLD fMRI responses in a sub-cortical reward network when participants judge the attractiveness of human female bodies

In perceptual terms, the human body is a complex 3d shape which has to be interpreted by the observer to judge its attractiveness. Both body mass and shape have been suggested as strong predictors of female attractiveness. Normally body mass and shape co-vary, and it is difficult to differentiate their separate effects. A recent study suggested that altering body mass does not modulate activity in the reward mechanisms of the brain, but shape does. However, using computer generated female body-shaped greyscale images, based on a Principal Component Analysis of female bodies, we were able to construct images which covary with real female body mass (indexed with BMI) and not with body shape (indexed with WHR), and vice versa. Twelve observers (6 male and 6 female) rated these images for attractiveness during an fMRI study. The attractiveness ratings were correlated with changes in BMI and not WHR. Our primary fMRI results demonstrated that in addition to activation in higher visual areas (such as the extrastriate body area), changing BMI also modulated activity in the caudate nucleus, and other parts of the brain reward system. This shows that BMI, not WHR, modulates reward mechanisms in the brain and we infer that this may have important implications for judgements of ideal body size in eating disordered individuals.