2,246 research outputs found

    Biophysical mechanisms of lymphocyte adhesion to activated vascular endothelium

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    Thesis (Ph.D.)--Harvard--Massachusetts Institute of Technology Division of Health Sciences and Technology, 1998.Includes bibliographical references (leaves 219-232).by Gerald C. Koenig.Ph.D

    Quasinormal Modes of Optical Solitons

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    Quasinormal modes (QNMs) are essential for understanding the stability and resonances of open systems, with increasing prominence in black hole physics. We present here the first study of QNMs of optical potentials. We show that solitons can support QNMs, deriving a soliton perturbation equation and giving exact analytical expressions for the QNMs of fiber solitons. We discuss the boundary conditions in this intrinsically dispersive system and identify novel signatures of dispersion. From here, we discover a new analogy with astrophysical black holes and describe a regime in which the soliton is a robust black hole simulator for light-ring phenomena. Our results invite a range of applications, from the description of optical pulse propagation with QNMs to the use of state-of-the-art technology from fiber optics to address questions in black hole physics, such as QNM spectral instabilities and the role of nonlinearities in ringdown.Comment: 5 pages, 3 figure

    Reflections on Developing a Campus-Wide Workshop Series on Contemplative Practice and Social Justice

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    Contemplative practices have been increasingly used in higher education to enhance student well-being and academic success. More recently, educators, activists, and researchers are exploring how contemplative practices and perspectives may support promotion of social justice on and outside college campuses. In this reflection, we share the development, execution, and evaluation of a campus-wide workshop series held at San Francisco State University (SFSU). The series promoted reflection and discussion on the relationship between contemplative practice and social justice to improve campus climate, enhance well-being of campus members, and promote student success

    Safe Risk-averse Bayesian Optimization for Controller Tuning

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    Controller tuning and parameter optimization are crucial in system design to improve both the controller and underlying system performance. Bayesian optimization has been established as an efficient model-free method for controller tuning and adaptation. Standard methods, however, are not enough for high-precision systems to be robust with respect to unknown input-dependent noise and stable under safety constraints. In this work, we present a novel data-driven approach, RaGoOSE, for safe controller tuning in the presence of heteroscedastic noise, combining safe learning with risk-averse Bayesian optimization. We demonstrate the method for synthetic benchmark and compare its performance to established BO-based tuning methods. We further evaluate RaGoOSE performance on a real precision-motion system utilized in semiconductor industry applications and compare it to the built-in auto-tuning routine

    Ghost Images in Helioseismic Holography? Toy Models in a Uniform Medium

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    Helioseismic holography is a powerful technique used to probe the solar interior based on estimations of the 3D wavefield. Porter--Bojarski holography, which is a well-established method used in acoustics to recover sources and scatterers in 3D, is also an estimation of the wavefield, and hence it has the potential to be applied to helioseismology. Here we present a proof of concept study, where we compare helioseismic holography and Porter--Bojarski holography under the assumption that the waves propagate in a homogeneous medium. We consider the problem of locating a point source of wave excitation inside a sphere. Under these assumptions, we find that the two imaging methods have the same capability of locating the source, with the exception that helioseismic holography suffers from "ghost images" (i.e., artificial peaks away from the source location). We conclude that Porter--Bojarski holography may improve the current method used in helioseismology.Comment: 17 pages, 8 figure

    Art in Rich-Prospect: Evaluating Next-Generation User Interfaces for Cultural Heritage

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    The present study reports on the user experience (UX) of rich-prospect browsing, an emerging interface design trend for digital cultural heritage. Building on research that suggests online museum collections are used only infrequently by the general public, this study investigates the role of next-generation user interfaces in the design of optimal browsing experiences. Moreover, it describes the results of user testing for three different arts and culture collections that make use of rich-prospect. The study recruited 30 participants of varying ages, nationalities, and museum visiting habits to discuss their museum experiences and test three different applications: Coins, Curator Table, and Museum of the World. The results of the study provide insights into the user experience of a new browsing medium and reveal the information-seeking habits and patterns that occurred within these information environments. Moreover, the study isolated the core features of rich-prospect in order to define opportunities and pain points during the browsing experience and indicated which features in particular are most important to people during the browsing experience. Finally, we suggest some best practices going forward in the design of rich-prospect
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