of cells similar to goblet cells in nonpigmented cysts. The ACTA2 gene, encoding vascular smooth muscle actin and the most abundant protein in smooth muscle cells (SMCs), plays an important role in actin filament assembly and SMC contractions.3 It is also reported to be expressed in SMCs of the iris, functioning as the contracting protein to move the iris. Guo et al reported a large family with autosomal dominant TAAD with iris flocculi caused by an aortic aneurysm and familial thoracic 6 (AAT6), an allelic variant of ACTA2, Arg149Cys.3 We confirmed that both of the current patients had this mutation. The reason why a mutation of ACTA2 causes cystic iris malformation with numerous gob-let cells remains to be elucidated. We specu-lated that SMC hyperplasia and disarray caused by AAT6 could result in damage to the structural integrity of the iris and forma-tion of iris flocculi. Considering the concomitant TAAD among patients with iris flocculi, recognition of the ocular manifestations can result in recognition of cardiovascular disorders.

this type of privacy requires communicating the whole database, or n bits (where n is the number of bits in the database). Our schemes use the replication to gain substantial saving. In particular, we have ffl A two database scheme with communication complexity of O(n1=3).ffl

PVS is a prototype system for writing specifications and constructing proofs. Its development has been shaped by our experiences studying or using several other systems and performing a number of rather substantial formal verifications (e.g., [5,6,8]). PVS is fully implemented and freely available

to avoid overfitting, we propose a widely applicable generalization of maximum likelihood model fitting by tempered EM. Our approach yields substantial and consistent improvements over Latent Semantic Analysis in a number of experiments.

on a number of test collections indicate substantial performance gains over direct term matching methodsaswell as over LSI. In particular, the combination of models with different dimensionalities has proven to be advantageous.

to minimize misclassifications of just those particular examples. The paper presents an analysis of why TSVMs are well suited for text classification. These theoretical findings are supported by experiments on three test collections. The experiments show substantial improvements over inductive methods

this paper, we provide a framework in which to study the security of key pre-distribution schemes, propose a new key pre-distribution scheme which substantially improves the resilience of the network compared to previous schemes, and give an in-depth analysis of our scheme in terms of network

use. In this paper we present new algorithmic techniques that substantially improve the running time of the belief propagation approach. One of our techniques reduces the complexity of the inference algorithm to be linear rather than quadratic in the number of possible labels for each pixel, which

not reduce MIPJ, since to do the same work the system must run longer. However, a number of methods are available for reducing energy with reduced clock-speed, such as reducing the voltage [Chandrakasan et al 1992][Horowitz 1993] or using reversible [Younis and Knight 1993] or adiabatic logic [Athas et al

the number of required traces compared to a brute-force, all-to-all approach by three orders of magnitude without a significant loss in accuracy. They include the use of BGP routing tables to focus the measurements, exploiting properties of IP routing to eliminate redundant measurements, better alias