2 1/2 ton, 6X6, M44A1 and M44A2 series trucks (multifuel) : model, truck, cargo, M35A1 ... truck, maintenance, earth boring and polesetting, M764, 2320-00-937-5980.

"May 1981"--Vols. 1, 2, pt. 1.

5-ton, 6x6, M39 series trucks (multifuel) : model, chassis, M40A2C ... NSN without winch, 2320-00-969-4114 ... NSN with winch, 2320-00-965-0321 ....

Includes index.

Direct support and general support level : 2 1/2-ton, 6x6, M44A1 and M44A2 series trucks (multifuel) : model truck, cargo M35A1 ... NSN without winch 2320-00-542-5633 ... NSN with winch 2320-00-542-5634 ... 2320-00-937-5980.

"20 May 1981"--Vol. 2, pt. 1.

Operator's manual : M977 series, 8 x 8 heavy expanded mobility tactical trucks (HEMTT) : model, truck, cargo, with winch M977, NSN 2320-01-097-0260 ....

"November 1986"--Vol. 1.

Maintenance instructions, organizational maintenance : M977 series, 8 x 8 Heavy Expanded Mobility Tactical Trucks (HEMTT) : model, truck, cargo, with winch M977, NSN 2320-01-097-0260 ....

"April 1987."

Direct support and general support maintenance manual : engine, diesel, with container (2815-022-6732) composed of engine, diesel (Detroit diesel model 5063-5299, series 6V53) and container (NSN 8145-00-138-7809) ....

"March 1975."

Condensed reports of cases in the Supreme court of the United States, containing the whole series of the decisions of the court from its organization to the commencement of the Peter's Reports at January term 1827. With copious notes of parallel cases in the Supreme and Circuit courts of the United States.

"An abridgement of Dallas, Cranch, and Wheaton, on the same general plan as the subsequent condensation by Curtis."--Soule, Lawyer's ref. manual, 1884.

A parallel implementation of the lattice solid model for the simulation of rock mechanics and earthquake dynamics

The Lattice Solid Model has been used successfully as a virtual laboratory to simulate fracturing of rocks, the dynamics of faults, earthquakes and gouge processes. However, results from those simulations show that in order to make the next step towards more realistic experiments it will be necessary to use models containing a significantly larger number of particles than current models. Thus, those simulations will require a greatly increased amount of computational resources. Whereas the computing power provided by single processors can be expected to increase according to Moore's law, i.e., to double every 18-24 months, parallel computers can provide significantly larger computing power today. In order to make this computing power available for the simulation of the microphysics of earthquakes, a parallel version of the Lattice Solid Model has been implemented. Benchmarks using large models with several millions of particles have shown that the parallel implementation of the Lattice Solid Model can achieve a high parallel-efficiency of about 80% for large numbers of processors on different computer architectures.

Parallel 3D Simulation of a Fault Gouge using the Lattice Solid Model

Despite the insight gained from 2-D particle models, and given that the dynamics of crustal faults occur in 3-D space, the question remains, how do the 3-D fault gouge dynamics differ from those in 2-D? Traditionally, 2-D modeling has been preferred over 3-D simulations because of the computational cost of solving 3-D problems. However, modern high performance computing architectures, combined with a parallel implementation of the Lattice Solid Model (LSM), provide the opportunity to explore 3-D fault micro-mechanics and to advance understanding of effective constitutive relations of fault gouge layers. In this paper, macroscopic friction values from 2-D and 3-D LSM simulations, performed on an SGI Altix 3700 super-cluster, are compared. Two rectangular elastic blocks of bonded particles, with a rough fault plane and separated by a region of randomly sized non-bonded gouge particles, are sheared in opposite directions by normally-loaded driving plates. The results demonstrate that the gouge particles in the 3-D models undergo significant out-of-plane motion during shear. The 3-D models also exhibit a higher mean macroscopic friction than the 2-D models for varying values of interparticle friction. 2-D LSM gouge models have previously been shown to exhibit accelerating energy release in simulated earthquake cycles, supporting the Critical Point hypothesis. The 3-D models are shown to also display accelerating energy release, and good fits of power law time-to-failure functions to the cumulative energy release are obtained.

Model evaluation and case series data

We discuss aggregation of data from neuropsychological patients and the process of evaluating models using data from a series of patients. We argue that aggregation can be misleading but not aggregating can also result in information loss. The basis for combining data needs to be theoretically defined, and the particular method of aggregation depends on the theoretical question and characteristics of the data. We present examples, often drawn from our own research, to illustrate these points. We also argue that statistical models and formal methods of model selection are a useful way to test theoretical accounts using data from several patients in multiple-case studies or case series. Statistical models can often measure fit in a way that explicitly captures what a theory allows; the parameter values that result from model fitting often measure theoretically important dimensions and can lead to more constrained theories or new predictions; and model selection allows the strength of evidence for models to be quantified without forcing this into the artificial binary choice that characterizes hypothesis testing methods. Methods that aggregate and then formally model patient data, however, are not automatically preferred to other methods. Which method is preferred depends on the question to be addressed, characteristics of the data, and practical issues like availability of suitable patients, but case series, multiple-case studies, single-case studies, statistical models, and process models should be complementary methods when guided by theory development.

Generalized mean field approximation for parallel dynamics of the Ising model

The dynamics of the non-equilibrium Ising model with parallel updates is investigated using a generalized mean field approximation that incorporates multiple two-site correlations at any two time steps, which can be obtained recursively. The proposed method shows significant improvement in predicting local system properties compared to other mean field approximation techniques, particularly in systems with symmetric interactions. Results are also evaluated against those obtained from Monte Carlo simulations. The method is also employed to obtain parameter values for the kinetic inverse Ising modeling problem, where couplings and local field values of a fully connected spin system are inferred from data. © 2014 IOP Publishing Ltd and SISSA Medialab srl.