The long-term prospects for fully exploring three-flavor mixing in the neutrino sector depend upon an ongoing and increased investment in the appropriate accelerator R&D. Two new concepts have been proposed that would revolutionize neutrino experiments, namely the Neutrino Factory and the Beta Beam facility. These new facilities would dramatically improve our ability to test the three-flavor mixing framework, measure CP violation in the lepton sector, and perhaps determine the neutrino mass hierarchy, and, if necessary, probe extremely small values of the mixing angle {theta}{sub 13}. The stunning sensitivity that could be achieved with a Neutrino Factory is described, together with our present understanding of the corresponding sensitivity that might be achieved with a Beta Beam facility. In the Beta Beam case, additional study is required to better understand the optimum Beta Beam energy, and the achievable sensitivity. Neither a Neutrino Factory nor a Beta Beam facility could be built without significant R&D. An impressive Neutrino Factory R&D effort has been ongoing in the U.S. and elsewhere over the last few years and significant progress has been made towards optimizing the design, developing and testing the required accelerator components, and significantly reducing the cost. The recent progress is described here. There …

None

Energy policy issues of continuing interest include whether or not to open up the Arctic National Wildlife Refuge (ANWR) for leasing; settlement upon a pipeline route to allow production of Alaskan natural gas; access to public lands for energy exploration and development; restructuring of the electric utility industry to encourage competition and consumer choice; raising corporate average fuel economy (CAFE) standards for motor vehicles; seeking effective means to promote energy conservation using currently available technologies; and development of new technologies and alternative fuels. This report discusses those major policy approaches, provides a conceptual framework for categorizing energy policy proposals, and briefly describes issues that remain current in the debates over energy policy.

This report includes background and analysis of energy policy. Points of discussion include the Arctic National Wildlife Refuge, nuclear energy, and renewable energy and fuels.

In this document we provide responses to the various issues raised in the report of the Preliminary Safety Review Panel (see http://mice.iit.edu/mnp/MICE0069.pdf). In some cases we have made design changes in response to the Panels suggestions. In other cases, we have chosen not to do so. In a few cases, we indicate our plans, although the tasks have not yet been completed. For simplicity, the responses are organized along the same lines as those of the Panel Report.

The overall goal of this project was to evaluate either boronated EGF or anti-EGFR monoclonal antibodies (MoAbs) as delivery agents for boron neutron capture therapy (BNCT).

The scattering of laser photons from relativistic electrons (Thomson scattering) has been demonstrated to be a viable method for the production of ultrashort-duration pulses of tunable radiation in the 10-keV to 100-keV range. Photons in this range are capable of exciting or ionizing even the most tightly bound of atomic electrons. A wide variety of atomistic scale applications are possible. For example, Thomson x-ray sources have been constructed at LLNL (PLEIADES) and LBL as picosecond, stroboscopic probes of atomic-scale dynamics and at Vanderbilt University as element-specific tools for medical radiography and radiology. While these sources have demonstrated an attractive ability to simultaneously probe on an atomic spatial and temporal scale, they do not necessarily exploit the full potential of the Thomson scattering process to produce high-brightness, high-energy photons. In this white paper, we suggest that the peak brightness of Thomson sources can scale as fast as the 4th power of electron beam energy and that production via Thomson scattering of quasi-monochromatic, tunable radiation in the ''nuclear-range'' between 100-keV and several MeV is potentially a much more attractive application space for this process. Traditional sources in this regime are inherently ultra-broadband and decline rapidly in brightness as a function of photon …

A Virtual Building Environment (VBE) is a ''place'' where building industry project staffs can get help in creating Building Information Models (BIM) and in the use of virtual buildings. It consists of a group of industry software that is operated by industry experts who are also experts in the use of that software. The purpose of a VBE is to facilitate expert use of appropriate software applications in conjunction with each other to efficiently support multidisciplinary work. This paper defines BIM and virtual buildings, and describes VBE objectives, set-up and characteristics of operation. It informs about the VBE Initiative and the benefits from a couple of early VBE projects.

This report provides background information and analysis of key issues to serve as a resource document for the reauthorization debate. This report provides background information on activities intended to help mitigate pollution resulting from highway construction and travel, and analyzes key issues for Congress.

We have developed a program called FUDGE that allows one to modify data from LLNL's nuclear database. After modifying data, FUDGE can then be instructed to process the data into the formats used by LLNL's deterministic (ndf) and the Monte Carlo (MCAPM) transport codes. This capability allows users to perform nuclear data sensitivity studies without modification of the transport modeling codes. FUDGE is designed to be user friendly (object-oriented) and fast (the modification and processing typically takes about a minute). It uses Python as a front-end, making it flexible and scriptable. Comparing, plotting and printing of the data are also supported. An overview of FUDGE will be presented as well as examples.

None

None

Although there are five effective shear moduli for any layered VTI medium, one and only one effective shear modulus for the layered system contains all the dependence of pore fluids on the elastic or poroelastic constants that can be observed in vertically polarized shear waves. Pore fluids can increase the magnitude the shear energy stored by this modulus by a term that ranges from the smallest to the largest shear moduli of the VTI system. But, since there are five shear moduli in play, the increase in shear energy overall is reduced by a factor of about 5 in general. We can therefore give definite bounds on the maximum increase of shear modulus, being about 20% of the permitted range, when gas is fully replaced by liquid. An attendant increase of density (depending on porosity and fluid density) by approximately 5 to 10% partially offsets the effect of this shear modulus increase. Thus, an increase of shear wave speed on the order of 5 to 10% is shown to be possible when circumstances are favorable - i.e., when the shear modulus fluctuations are large (resulting in strong anisotropy), and the medium behaves in an undrained fashion due to fluid trapping. …

Today's distributed systems require simple and powerful resource discovery queries in a dynamic environment consisting of a large number of resources spanning many autonomous administrative domains. The distributed search problem is hard due to the variety of query types, the number of resources and their autonomous, partitioned and dynamic nature. We propose a generalized resource discovery framework that is built around an application level messaging protocol called Peer-to-Peer I/O (P2PIO). P2PIO addresses a number of scalability problems in a general way. It provides flexible and uniform transport-independent resource discovery mechanisms to reduce both the client and network burden in multi-hop P2P systems.

This report discusses arguments surrounding intelligence reform legislation passed by Congress in December 2004 in response to the September 11th Terrorist Attacks and the legislation's potential impacts on the Department of Defense intelligence agencies, such as the National Security Agency, the National Reconnaissance Office, and the National Geospatial-Intelligence Agency. Updated December 21, 2004.

This report briefly discusses private bills, which are bills providing benefits to specified individuals (including corporate bodies). Individuals sometimes request relief through private law when administrative or legal remedies are exhausted, but Congress seems more often to view private legislation as appropriate when no other remedy is available, and when enactment would, in a broad sense, afford equity.

A new spectroscopic diagnostic on the National Spherical Torus Experiment (NSTX) measures the velocity distribution of ions in the plasma edge with both poloidal and toroidal views. An anisotropic ion temperature is measured during the presence of high-power high-harmonic fast-wave (HHFW) radio-frequency (RF) heating in helium plasmas, with the poloidal ion temperature roughly twice the toroidal ion temperature. Moreover, the measured spectral distribution suggests that two populations are present and have temperatures of 500 eV and 50 eV with rotation velocities of -50 km/s and -10 km/s, respectively. This bi-modal distribution is observed in both the toroidal and poloidal views (in both He{sup +} and C{sup 2+} ions), and is well correlated with the period of RF power application to the plasma. The temperature of the hot edge ions is observed to increase with the applied RF power, which was scanned between 0 and 4.3 MW. The ion heating mechanism is likely to be ion-Bernstein waves (IBW) from nonlinear decay of the launched HHFW.

None

We consider two existing asynchronous parallel algorithms for Implicit Monte Carlo (IMC) thermal radiation transport on spatially decomposed meshes. The two algorithms are from the production codes KULL from Lawrence Livermore National Laboratory and Milagro from Los Alamos National Laboratory. Both algorithms were considered and analyzed in an implementation of the KULL IMC package in ALEGRA, a Sandia National Laboratory high energy density physics code. Improvements were made to both algorithms. The improved Milagro algorithm performed the best by scaling nearly perfectly out to 244 processors.

Four different algorithms for domain decomposed Monte Carlo are outlined, and the performance of each is measured. These algorithms are implemented in the KULL IMC package [4] running inside of ALEGRA [1]. This package implements the Implicit Monte Carlo (IMC) scheme for thermal radiation transport of Fleck and Cummings [3].

The charges of magnetic monopoles are constrained to a multiple of 2{pi} times the inverse of the elementary unit electric charge. In the standard model, quarks have fractional charge, raising the question of whether the basic magnetic monopole unit is a multiple of 2{pi} or three times that. A simple lattice construction shows how a magnetic monopole of the lower strength is possible if it interacts with gluonic fields as well. Such a monopole is thus a hadron. This is consistent with the construction of magnetic monopoles in grand unified theories.

The line of inquiry which the ASU lidar group has been investigating, with collaboration and support from LLNL, is to create approaches and algorithms for better utilizing the rich information available through modern remote sensors in dispersion modeling systems. In particular, our goal is to create a lidar-data-driven dispersion model mode in ADAPT/LODI. This report describes progress towards this goal during the 2002/2003 academic year. Because of the nature of lidar data and the necessity to utilize additional information, both numerical and measured, this is essentially a data retrieval and data fusion project. With the current generation of commercially available lidar, the scope of the domain in which we are interested is initially 4 to 14 kilometers in radius, where the potentially scanned domain is roughly hemispherical. Figure 1, for example, taken from a recent lidar deployment in Oklahoma City, shows visually the most typical range of the domain that can be probed with the ASU lidar. Ranges 2 or 3 times the distance to the cluster of buildings in the photograph can be probed with a properly functioning, commercially available lidar. This could be of significant value for protecting key buildings with roof-top located remote sensors coupled with dispersion …

This report discusses concerns over financing federal elections, such as political action committees (PACs) and proposed reforms to campaign finance.

The performance of classification algorithms in machine learning is affected by the features used to describe the labeled examples presented to the inducers. Therefore, the problem of feature subset selection has received considerable attention. Genetic approaches to this problem usually follow the wrapper approach: treat the inducer as a black box that is used to evaluate candidate feature subsets. The evaluations might take a considerable time and the traditional approach might be unpractical for large data sets. This paper describes a hybrid of a simple genetic algorithm and a method based on class separability applied to the selection of feature subsets for classification problems. The proposed hybrid was compared against each of its components and two other feature selection wrappers that are used widely. The objective of this paper is to determine if the proposed hybrid presents advantages over the other methods in terms of accuracy or speed in this problem. The experiments used a Naive Bayes classifier and public-domain and artificial data sets. The experiments suggest that the hybrid usually finds compact feature subsets that give the most accurate results, while beating the execution time of the other wrappers.