Stanford University

About: Stanford University is a education organization based out in Stanford, California, United States. It is known for research contribution in the topics: Population & Transplantation. The organization has 125751 authors who have published 320347 publications receiving 21892059 citations. The organization is also known as: Leland Stanford Junior University & University of Stanford.

Efficient Selective-ID Secure Identity-Based Encryption Without Random Oracles

Abstract: We construct two efficient Identity Based Encryption (IBE) systems that are selective identity secure without the random oracle model. Selective identity secure IBE is a slightly weaker security model than the standard security model for IBE. In this model the adversary must commit ahead of time to the identity that it intends to attack, whereas in the standard model the adversary is allowed to choose this identity adaptively. Our first secure IBE system extends to give a selective identity Hierarchical IBE secure without random oracles.

Xenogeneic monoclonal antibodies to mouse lymphoid differentiation antigens.

Abstract: Xenogeneic immunizations have the advantage of detecting a wide range of antigenic determinants because many commonly occurring proteins have diverged significantly during the course of evolution and are thus antigenic in other species. The broadness of xenogeneic responses, however, means that the antisera they produce are usually complex and require extensive absorptions to make them specific for a single antigen. This problem has now been overcome by generating hybridomas producing monoclonal antibodies (Kohler & Milstein 1975). These permit dissection ofthe xenogeneic response so that large amounts of individual antibodies can be obtained, each of which recognizes only one of the determinants recognized by a broadly reactive conventional antiserum. Williams et al. (1977) used hybridoma monoclonal antibodies obtained after immunizations of mice with rat cells to study rat cell-surface antigens present on subpopulations of rat lymphocytes, i.e., differentiation antigens. Springer et al. (1978a) and Stern et al. (1978) used a similar approach to study mouse lymphocyte antigens. They prepared monoclonal antibodies by immunizing rats with mouse lymphocytes and showed that these monoclonals recognized previously undetected mouse cell surface determinants including a glycoprotein antigen that appears to be specific for macrophages (Springer et al. 1978b). Trowbridge (1978) also used rat anti-mouse immunizations to generate a monoclonal antibody against the non-polymorphic lymphocyte surface antigen T200.

A review of micropumps

Abstract: We survey progress over the past 25 years in the development of microscale devices for pumping fluids. We attempt to provide both a reference for micropump researchers and a resource for those outside the field who wish to identify the best micropump for a particular application. Reciprocating displacement micropumps have been the subject of extensive research in both academia and the private sector and have been produced with a wide range of actuators, valve configurations and materials. Aperiodic displacement micropumps based on mechanisms such as localized phase change have been shown to be suitable for specialized applications. Electroosmotic micropumps exhibit favorable scaling and are promising for a variety of applications requiring high flow rates and pressures. Dynamic micropumps based on electrohydrodynamic and magnetohydrodynamic effects have also been developed. Much progress has been made, but with micropumps suitable for important applications still not available, this remains a fertile area for future research.

Image-based method for retrospective correction of physiological motion effects in fMRI: RETROICOR.

Abstract: Respiration effects and cardiac pulsatility can induce signal modulations in functional MR image time series that increase noise and degrade the statistical significance of activation signals. A simple image-based correction method is described that does not have the limitations of k-space methods that preclude high spatial frequency correction. Low-order Fourier series are fit to the image data based on time of each image acquisition relative to the phase of the cardiac and respiratory cycles, monitored using a photoplethysmograph and pneumatic belt, respectively. The RETROICOR method is demonstrated using resting-state experiments on three subjects and compared with the k-space method. The method is found to perform well for both respiration- and cardiac-induced noise without imposing spatial filtering on the correction. Magn Reson Med 44:162‐167, 2000. © 2000 Wiley-Liss, Inc.

FastSLAM: a factored solution to the simultaneous localization and mapping problem

Abstract: The ability to simultaneously localize a robot and accurately map its surroundings is considered by many to be a key prerequisite of truly autonomous robots. However, few approaches to this problem scale up to handle the very large number of landmarks present in real environments. Kalman filter-based algorithms, for example, require time quadratic in the number of landmarks to incorporate each sensor observation. This paper presents FastSLAM, an algorithm that recursively estimates the full posterior distribution over robot pose and landmark locations, yet scales logarithmically with the number of landmarks in the map. This algorithm is based on an exact factorization of the posterior into a product of conditional landmark distributions and a distribution over robot paths. The algorithm has been run successfully on as many as 50,000 landmarks, environments far beyond the reach of previous approaches. Experimental results demonstrate the advantages and limitations of the FastSLAM algorithm on both simulated and real-world data.