5,751 research outputs found

    Tensor Analysis and Fusion of Multimodal Brain Images

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    Current high-throughput data acquisition technologies probe dynamical systems with different imaging modalities, generating massive data sets at different spatial and temporal resolutions posing challenging problems in multimodal data fusion. A case in point is the attempt to parse out the brain structures and networks that underpin human cognitive processes by analysis of different neuroimaging modalities (functional MRI, EEG, NIRS etc.). We emphasize that the multimodal, multi-scale nature of neuroimaging data is well reflected by a multi-way (tensor) structure where the underlying processes can be summarized by a relatively small number of components or "atoms". We introduce Markov-Penrose diagrams - an integration of Bayesian DAG and tensor network notation in order to analyze these models. These diagrams not only clarify matrix and tensor EEG and fMRI time/frequency analysis and inverse problems, but also help understand multimodal fusion via Multiway Partial Least Squares and Coupled Matrix-Tensor Factorization. We show here, for the first time, that Granger causal analysis of brain networks is a tensor regression problem, thus allowing the atomic decomposition of brain networks. Analysis of EEG and fMRI recordings shows the potential of the methods and suggests their use in other scientific domains.Comment: 23 pages, 15 figures, submitted to Proceedings of the IEE

    Improving Knowledge of Parents in Dietary Management for Children with Diabetes and Hyperlipidemia: A Quality Improvement Project

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    Abstract: There is evidence that the number of cases of hyperlipidemia and diabetes in children is increasing along with the prevalence of childhood obesity in low- and high-income countries. Several factors may influence the dietary management of chronic conditions in children and adolescents, including the perceptions and beliefs of parents and caregivers about the conditions and their role in treating them. Shifting the focus of obesity, hyperlipidemia, and diabetes prevention interventions to the early education of parents has the potential to change children’s dietary habits significantly and decrease their risk of suffering from these chronic conditions. Ab important goal of this Quality Improvement project was to initiate an educational program that addresses community dietary management and the prevention of chronic conditions such as hyperlipidemia and diabetes. METHODS: The parents of pediatric patients diagnosed with hyperlipidemia and diabetes were administered as a pre- and post-test the Revised General Nutrition Knowledge Questionnaire (GNKQ), which consists of four domains of nutrition knowledge: dietary recommendations (DR), sources of nutrients in food (SON), knowledge of healthy food choices (HFC), and diet, disease, and weight management (DDWM). The scores were tabulated for each section to obtain a total score (T0 and T1). RESULTS: The total and individual section scores for the pre-test (T0 = 60%) and post-test (T1= 69.55%) for the GNKQ. The mean overall GNKQ score including the pre- and post-test values for the parent participants was 57.00 (± 8.85), representing 64.77%. CONCLUSION: The results indicated improvement in the participating parents’ overall nutritional knowledge after the implementation of nutritional education in this Quality Improvement project. These sections measured knowledge of the groups of food selection and the suggested serving sizes, sources of nutrients in food, and the correlation between diet and disease

    Double percolation effects and fractal behavior in magnetic/superconducting hybrids

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    Perpendicular magnetic anisotropy ferromagnetic/ superconducting (FM/SC) bilayers with a labyrinth domain structure are used to study nucleation of superconductivity on a fractal network, tunable through magnetic history. As clusters of reversed domains appear in the FM layer, the SC film shows a percolative behavior that depends on two independent processes: the arrangement of initial reversed domains and the fractal geometry of expanding clusters. For a full labyrinth structure, the behavior of the upper critical field is typical of confined superconductivity on a fractal network.Comment: 15 pages, 5 figure

    Early Type Galaxies in the Mid Infrared: a new flavor to their stellar populations

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    The mid infrared emission of early type galaxies traces the presence of intermediate age stellar populations as well as even tiny amounts of ongoing star formation. Here we discuss high S/N Spitzer IRS spectra of a sample of Virgo early type galaxies, with particular reference to NGC 4435. We show that, by combining mid infrared spectroscopic observations with existing broad band fluxes, it is possible to obtain a very clean picture of the nuclear activity in this galaxy.Comment: 4 pages; proceedings of IAU Symposium No. 241, "Stellar Populations as Building Blocks of Galaxies", editors A. Vazdekis and R. Peletie

    High-density speckle contrast optical tomography (SCOT) for three dimensional tomographic imaging of the small animal brain

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    High-density speckle contrast optical tomography (SCOT) utilizing tens of thousands of source-detector pairs, was developed for in vivo imaging of blood flow in small animals. The reduction in cerebral blood flow (CBF) due to local ischemic stroke in a mouse brain was transcanially imaged and reconstructed in three dimensions. The reconstructed volume was then compared with corresponding magnetic resonance images demonstrating that the volume of reduced CBF agrees with the infarct zone at twenty-four hours.Peer ReviewedPostprint (author's final draft

    Star Formation History and Extinction in the central kpc of M82-like Starbursts

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    We report on the star formation histories and extinction in the central kpc region of a sample of starburst galaxies that have similar far infrared (FIR), 10 micron and K-band luminosities as those of the archetype starburst M82. Our study is based on new optical spectra and previously published K-band photometric data, both sampling the same area around the nucleus. Model starburst spectra were synthesized as a combination of stellar populations of distinct ages formed over the Hubble time, and were fitted to the observed optical spectra and K-band flux. The model is able to reproduce simultaneously the equivalent widths of emission and absorption lines, the continuum fluxes between 3500-7000 Ang, the K-band and the FIR flux. We require a minimum of 3 populations -- (1) a young population of age < 8 Myr, with its corresponding nebular emission, (2) an intermediate-age population (age < 500 Myr), and (3) an old population that forms part of the underlying disk or/and bulge population. The contribution of the old population to the K-band luminosity depends on the birthrate parameter and remains above 60% in the majority of the sample galaxies. Even in the blue band, the intermediate age and old populations contribute more than 40% of the total flux in all the cases. A relatively high contribution from the old stars to the K-band nuclear flux is also apparent from the strength of the 4000 Ang break and the CaII K line. The extinction of the old population is found to be around half of that of the young population. The contribution to the continuum from the relatively old stars has the effect of diluting the emission equivalent widths below the values expected for young bursts. The mean dilution factors are found to be 5 and 3 for the Halpha and Hbeta lines respectively.Comment: 20 pages, uses emulateapj.cls. Scheduled to appear in ApJ Jan 1, 200
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