Stony Brook University

About: Stony Brook University is a education organization based out in Stony Brook, New York, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 32534 authors who have published 68218 publications receiving 3035131 citations. The organization is also known as: State University of New York at Stony Brook & SUNY Stony Brook.

Phase retrieval from the magnitude of the Fourier transforms of nonperiodic objects

Abstract: It is suggested that, given the magnitude of Fourier transforms sampled at the Bragg density, the phase problem is underdetermined by a factor of 2 for 1D, 2D, and 3D objects. It is therefore unnecessary to oversample the magnitude of Fourier transforms by 2× in each dimension (i.e., oversampling by 4× for 2D and 8× for 3D) in retrieving the phase of 2D and 3D objects. Our computer phasing experiments accurately retrieved the phase from the magnitude of the Fourier transforms of 2D and 3D complex-valued objects by using positivity constraints on the imaginary part of the objects and loose supports, with the oversampling factor much less than 4 for 2D and 8 for 3D objects. Under the same conditions we also obtained reasonably good reconstructions of 2D and 3D complex-valued objects from the magnitude of their Fourier transforms with added noise and a central stop.

American Patriotism, National Identity, and Political Involvement

Abstract: Researchers disagree over the definition, measurement, and expected political consequences of American patriotism, a situation that is fueled by the absence of a strong theoretical research foundation. We develop and evaluate a new measure of national attachment that is grounded in social identity theory (Tajfel and Turner 1979), drawing on data from three distinct sources: two studies of undergraduate students and the 1996 General Social Survey (GSS). Confirmatory factor analyses provide clear evidence that national identity is distinc tf ro mo ther measures of national attachment including symbolic, constructive, and uncritical patriotism (and nationalism). National identity has a number of other good measurement properties when compared to existing measures: it receives equal endorsement from conservatives and liberals (unlike most other measures which exhibit an ideological bias), develops with time spent in the United States among immigrants, and most importantly is the only measure of national attachment to predict political interest and voter turnout in both student and adult samples, consistent with the predictions of social identity theory. In that sense, the national identity measure outperforms all other measures of national attachment and provides unambiguous evidence that a strong American identity promotes civic involvement.

Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification

Abstract: Convolutional Neural Networks (CNN) are state-of-theart models for many image classification tasks. However, to recognize cancer subtypes automatically, training a CNN on gigapixel resolution Whole Slide Tissue Images (WSI) is currently computationally impossible. The differentiation of cancer subtypes is based on cellular-level visual features observed on image patch scale. Therefore, we argue that in this situation, training a patch-level classifier on image patches will perform better than or similar to an image-level classifier. The challenge becomes how to intelligently combine patch-level classification results and model the fact that not all patches will be discriminative. We propose to train a decision fusion model to aggregate patch-level predictions given by patch-level CNNs, which to the best of our knowledge has not been shown before. Furthermore, we formulate a novel Expectation-Maximization (EM) based method that automatically locates discriminative patches robustly by utilizing the spatial relationships of patches. We apply our method to the classification of glioma and non-small-cell lung carcinoma cases into subtypes. The classification accuracy of our method is similar to the inter-observer agreement between pathologists. Although it is impossible to train CNNs on WSIs, we experimentally demonstrate using a comparable non-cancer dataset of smaller images that a patch-based CNN can outperform an image-based CNN.

Observation of atoms laser cooled below the Doppler limit

Abstract: The generally accepted theory of laser cooling of free atoms predicts that the lowest achievable temperature is given by kaT = hγ/2, where kB is Boltzmann's constant arid γ is the natural linewidth of the transition for laser cooling. This "Doppler cooling limit" results from the minimization of the detuning-dependent temperature at low laser power1:

YERSINIA OUTER PROTEINS: Role in Modulation of Host Cell Signaling Responses and Pathogenesis

Abstract: A type III secretion system (TTSS) is encoded on a virulence plasmid that is common to three pathogenic Yersinia species: Y. enterocolitica, Y. pseudotuberculosis, and Y. pestis. Pathogenic Yersinia species require this TTSS to survive and replicate within lymphoid tissues of their animal or human hosts. A set of pathogenicity factors, including those known as Yersinia outer proteins (Yops), is exported by this system upon bacterial infection of host cells. Two translocator Yops (YopB and YopD) insert into the host plasma membrane and function to transport six effector Yops (YopO, YopH, YopM, YopT, YopJ, and YopE) into the cytosol of the host cell. Effector Yops function to counteract multiple signaling responses in the infected host cell. The signaling responses counteracted by Yops are initiated by phagocytic receptors, Toll-like receptors, translocator Yops, and additional mechanisms. Innate and adaptive immune responses are thwarted as a consequence of Yop activities. A biochemical function fo...