The Internet and Democratic Debate

Presents findings from a survey conducted in June 2004. Looks at the role of the Internet in providing a wider awareness of political views during the 2004 campaign season

Data Network Models of Burstiness

Data Network Models of Burstines

The Influence of Dependence on Data Network Models of Burstiness

The Influence of Dependence on Data Network Models of Burstines

Bayesian Networks for Max-linear Models

We study Bayesian networks based on max-linear structural equations as introduced in Gissibl and Kl\"uppelberg [16] and provide a summary of their independence properties. In particular we emphasize that distributions for such networks are generally not faithful to the independence model determined by their associated directed acyclic graph. In addition, we consider some of the basic issues of estimation and discuss generalized maximum likelihood estimation of the coefficients, using the concept of a generalized likelihood ratio for non-dominated families as introduced by Kiefer and Wolfowitz [21]. Finally we argue that the structure of a minimal network asymptotically can be identified completely from observational data.Comment: 18 page

Debris and micrometeorite impact measurements in the laboratory

A method was developed to simulate space debris in the laboratory. This method, which is an outgrowth of research in inertial confinement fusion (ICF), uses laser ablation to accelerate material. Using this method, single 60 micron aluminum spheres were accelerated to 15 km/sec and larger 500 micron aluminum spheres were accelerated to 2 km/sec. Also, many small (less than 10 micron diameter) irregularly shaped particles were accelerated to speeds of 100 km/sec

Derivation of the Planck Spectrum for Relativistic Classical Scalar Radiation from Thermal Equilibrium in an Accelerating Frame

The Planck spectrum of thermal scalar radiation is derived suggestively within classical physics by the use of an accelerating coordinate frame. The derivation has an analogue in Boltzmann's derivation of the Maxwell velocity distribution for thermal particle velocities by considering the thermal equilibrium of noninteracting particles in a uniform gravitational field. For the case of radiation, the gravitational field is provided by the acceleration of a Rindler frame through Minkowski spacetime. Classical zero-point radiation and relativistic physics enter in an essential way in the derivation which is based upon the behavior of free radiation fields and the assumption that the field correlation functions contain but a single correlation time in thermal equilibrium. The work has connections with the thermal effects of acceleration found in relativistic quantum field theory.Comment: 23 page

Corrections to the Central Limit Theorem for Heavy-Tailed Probability Densities

Classical Edgeworth expansions provide asymptotic correction terms to the Central Limit Theorem (CLT) up to an order that depends on the number of moments available. In this paper, we provide subsequent correction terms beyond those given by a standard Edgeworth expansion in the general case of regularly varying distributions with diverging moments (beyond the second). The subsequent terms can be expressed in a simple closed form in terms of certain special functions (Dawson's integral and parabolic cylinder functions), and there are qualitative differences depending on whether the number of moments available is even, odd or not an integer, and whether the distributions are symmetric or not. If the increments have an even number of moments, then additional logarithmic corrections must also be incorporated in the expansion parameter. An interesting feature of our correction terms for the CLT is that they become dominant outside the central region and blend naturally with known large-deviation asymptotics when these are applied formally to the spatial scales of the CLT

Heat Conduction Process on Community Networks as a Recommendation Model

Using heat conduction mechanism on a social network we develop a systematic method to predict missing values as recommendations. This method can treat very large matrices that are typical of internet communities. In particular, with an innovative, exact formulation that accommodates arbitrary boundary condition, our method is easy to use in real applications. The performance is assessed by comparing with traditional recommendation methods using real data.Comment: 4 pages, 2 figure

Expression of the intestinal biomarkers Guanylyl cyclase C and CDX2 in poorly differentiated colorectal carcinomas.

Guanylyl cyclase C, a receptor for bacterial diarrheagenic enterotoxins, is expressed selectively by intestinal epithelium and is an endogenous downstream target of CDX2. The expression of Guanylyl cyclase C is preserved throughout the adenoma/carcinoma sequence in the colorectum. Detection of Guanylyl cyclase C expression by reverse transcriptase-polymerase chain reaction is currently being validated as a technique to identify occult lymph node metastases in patients with colorectal cancer and for circulating cells in the blood for postoperative surveillance. Although Guanylyl cyclase C is widely expressed by well-differentiated colorectal cancer, its expression in poorly differentiated colorectal cancer has not been evaluated. A tissue microarray was created from 69 archival specimens including 44 poorly differentiated, 15 undifferentiated or medullary, and 10 signet ring cell colorectal carcinomas. Matched normal colonic mucosa was used as a positive control. Immunohistochemical staining for Guanylyl cyclase C and CDX2 was evaluated as positive or negative based on at least a 10% extent of staining. Of the 69 tumor samples, 75%, 47%, and 90% of the poorly differentiated, medullary, and signet ring cell tumors were positive for Guanylyl cyclase C and 75%, 40% and 90% of these subsets were positive for CDX2, respectively. There was excellent correlation between Guanylyl cyclase C and CDX2 expression on a case-per-case basis (P \u3c .0001). There was also a statistically significant difference in the Guanylyl cyclase C staining pattern between medullary carcinomas and poorly differentiated, not otherwise specified (P = .05). Immunopositivity for Guanylyl cyclase C was greater than 95% in a separately stained microarray series of well/moderately differentiated colorectal carcinomas. In conclusion, Guanylyl cyclase C expression is lost in a quarter of poorly differentiated and half of undifferentiated colorectal carcinomas. Therefore, the utility of Guanylyl cyclase C expression as a diagnostic marker for colorectal carcinoma may be questionable in poorly differentiated colorectal neoplasms