American Standard

The work included in my MFA thesis exhibition entitled American Standard examines our role as narrative-based individuals within the American culture. In this current body of work I use the photographic image as a director uses the medium of film (moving image). Location scouting, casting, lighting, directing, editing, and processing all become intricate parts of the work, all to lead to a single solitary frozen moment in time that I believe creates a story. Story as created not in a fictional sense, but more in the vein of creative non-fiction, as the stories I tell come from a personal past. I ask the viewer to examine each photographic image, and examine its narrative fidelity. I would like the viewer to begin to become aware of their inherent attraction to narrative and that which unfolds because of that attraction

Statistical Approaches to the Inverse Problem

Communications engineering / telecommunication

Highly Automated Dipole EStimation (HADES)

Automatic estimation of current dipoles from biomagnetic data is still a problematic task. This is due not only to the ill-posedness of the inverse problem but also to two intrinsic difficulties introduced by the dipolar model: the unknown number of sources and the nonlinear relationship between the source locations and the data. Recently, we have developed a new Bayesian approach, particle filtering, based on dynamical tracking of the dipole constellation. Contrary to many dipole-based methods, particle filtering does not assume stationarity of the source configuration: the number of dipoles and their positions are estimated and updated dynamically during the course of the MEG sequence. We have now developed a Matlab-based graphical user interface, which allows nonexpert users to do automatic dipole estimation from MEG data with particle filtering. In the present paper, we describe the main features of the software and show the analysis of both a synthetic data set and an experimental dataset

The Effects of Fraternity/Sorority Membership on College Experiences and Outcomes: A Portrait of Complexity

This study estimated the effects of fraternity/sorority membership on a wide range of college experiences and outcomes for first-year and senior college students at a large, public, Midwestern university. The findings suggest a complex portrait of the relationships between affiliation, engagement, and learning outcomes. Fraternity/sorority membership appeared to facilitate social involvement during college but may have limited the diversity of relationships. It was associated with higher levels of community service, but also increased the odds of excessive alcohol use. In the presence of controls for important, confounding influences, being a fraternity/sorority member had little consistent influence on grades or perceived impact of college. There was little support for gender differences in the impact of affiliation. Finally, implications for student affairs professionals in their work with undergraduate fraternity/sorority leaders and members were considered

The Effects of Fraternity/Sorority Membership on College Experiences and Outcomes: A Portrait of Complexity

This study estimated the effects of fraternity/sorority membership on a wide range of college experiences and outcomes for first-year and senior college students at a large, public, Midwestern university. The findings suggest a complex portrait of the relationships between affiliation, engagement, and learning outcomes. Fraternity/sorority membership appeared to facilitate social involvement during college but may have limited the diversity of relationships. It was associated with higher levels of community service, but also increased the odds of excessive alcohol use. In the presence of controls for important, confounding influences, being a fraternity/sorority member had little consistent influence on grades or perceived impact of college. There was little support for gender differences in the impact of affiliation. Finally, implications for student affairs professionals in their work with undergraduate fraternity/sorority leaders and members were considered

The IAS-MEEG Package: A Flexible Inverse Source Reconstruction Platform for Reconstruction and Visualization of Brain Activity from M/EEG Data

We present a standalone Matlab software platform complete with visualization for the reconstruction of the neural activity in the brain from MEG or EEG data. The underlying inversion combines hierarchical Bayesian models and Krylov subspace iterative least squares solvers. The Bayesian framework of the underlying inversion algorithm allows to account for anatomical information and possible a priori belief about the focality of the reconstruction. The computational efficiency makes the software suitable for the reconstruction of lengthy time series on standard computing equipment. The algorithm requires minimal user provided input parameters, although the user can express the desired focality and accuracy of the solution. The code has been designed so as to favor the parallelization performed automatically by Matlab, according to the resources of the host computer. We demonstrate the flexibility of the platform by reconstructing activity patterns with supports of different sizes from MEG and EEG data. Moreover, we show that the software reconstructs well activity patches located either in the subcortical brain structures or on the cortex. The inverse solver and visualization modules can be used either individually or in combination. We also provide a version of the inverse solver that can be used within Brainstorm toolbox. All the software is available online by Github, including the Brainstorm plugin, with accompanying documentation and test data

Neutralization of IFN-γ reverts clinical and laboratory features in a mouse model of macrophage activation syndrome.

BACKGROUND: The pathogenesis of macrophage activation syndrome (MAS) is not clearly understood: a large body of evidence supports the involvement of mechanisms similar to those implicated in the setting of primary hemophagocytic lymphohistiocytosis. OBJECTIVE: We sought to investigate the pathogenic role of IFN-γ and the therapeutic efficacy of IFN-γ neutralization in an animal model of MAS. METHODS: We used an MAS model established in mice transgenic for human IL-6 (IL-6TG mice) challenged with LPS (MAS mice). Levels of IFN-γ and IFN-γ-inducible chemokines were evaluated by using real-time PCR in the liver and spleen and by means of ELISA in plasma. IFN-γ neutralization was achieved by using the anti-IFN-γ antibody XMG1.2 in vivo. RESULTS: Mice with MAS showed a significant upregulation of the IFN-γ pathway, as demonstrated by increased mRNA levels of Ifng and higher levels of phospho-signal transducer and activator of transcription 1 in the liver and spleen and increased expression of the IFN-γ-inducible chemokines Cxcl9 and Cxcl10 in the liver and spleen, as well as in plasma. A marked increase in Il12a and Il12b expression was also found in livers and spleens of mice with MAS. In addition, mice with MAS had a significant increase in numbers of liver CD68+ macrophages. Mice with MAS treated with an anti-IFN-γ antibody showed a significant improvement in survival and body weight recovery associated with a significant amelioration of ferritin, fibrinogen, and alanine aminotransferase levels. In mice with MAS, treatment with the anti-IFN-γ antibody significantly decreased circulating levels of CXCL9, CXCL10, and downstream proinflammatory cytokines. The decrease in CXCL9 and CXCL10 levels paralleled the decrease in serum levels of proinflammatory cytokines and ferritin. CONCLUSION: These results provide evidence for a pathogenic role of IFN-γ in the setting of MAS

Preface: BITS2014, the annual meeting of the Italian Society of Bioinformatics

This Preface introduces the content of the BioMed Central journal Supplements related to BITS2014 meeting, held in Rome, Italy, from the 26th to the 28th of February, 2014