The Burnside Expedition

By Ambrose E. Burnside, Late Major-General, United States Army. Personal Narratives of Events of the War of the Rebellion being papers read before the Rhode Island Soldiers and Sailors Historical Society. No.6 – Second Series. 1882. Written by Ambrose Burnside and read before the Rhode Island Soldiers and Sailors Historical Society on July 7, 1880, the author discusses his military expedition along the North Carolina Coast between February and June of 1862. The expedition was part of General Winfield Scott’s overall Anaconda Plan, which was aimed at closing the blockade-running ports inside the Outer Banks.https://digitalcommons.providence.edu/ri_history/1001/thumbnail.jp

Generalised sifting in black-box groups

We present a generalisation of the sifting procedure introduced originally by Sims for computation with finite permutation groups, and now used for many computational procedures for groups, such as membership testing and finding group orders. Our procedure is a Monte Carlo algorithm, and is presented and analysed in the context of black-box groups. It is based on a chain of subsets instead of a subgroup chain. Two general versions of the procedure are worked out in detail, and applications are given for membership tests for several of the sporadic simple groups. Our major objective was that the procedures could be proved to be Monte Carlo algorithms, and their costs computed. In addition we explicitly determined suitable subset chains for six of the sporadic groups, and we implemented the algorithms involving these chains in the {\sf GAP} computational algebra system. It turns out that sample implementations perform well in practice. The implementations will be made available publicly in the form of a {\sf GAP} package

Dopamine-D1 and δ-opioid receptors co-exist in rat striatal neurons

Cocaine’s enhancement of dopaminergic neurotransmission in the mesolimbic pathway plays a critical role in the initial reinforcing properties of this drug. However, other neurotransmitter systems are also integral to the addiction process. A large body of data indicates that opioids and dopamine together mediate emotional and reinforced behaviors. In support of this, cocaine-mediated increases in activation of dopamine D1 receptors (D1R) results in a desensitization of δ-opioid receptor (DOR) signaling through adenylyl cyclase (AC) in striatal neurons. To further define cellular mechanisms underlying this effect, the subcellular distribution of DOR and D1R was examined in the rat dorsolateral striatum. Dual immunoperoxidase/gold-silver detection combined with electron microscopy was used to identify DOR and D1R immunoreactivities in the same section of tissue. Semi-quantitative analysis revealed that a subset of dendritic cellular profiles exhibited both DOR and D1R immunoreactivities. Of 165 randomly sampled D1R immunoreactive profiles, 43% contained DOR. Similarly of 198 DOR-labeled cellular profiles, 52% contained D1R. The present data provide ultrastructural evidence for co-existence between DOR and D1R in striatal neurons, suggesting a possible mechanism whereby D1R modulation may alter DOR function

Neural networks applied to traffic management in telephone networks

In this paper the application of neural networks to some of the network management tasks carried out in a regional Bell telephone company is described. Network managers monitor the telephone network for abnormal conditions and have the ability to place controls in the network to improve traffic flow. Conclusions are drawn regarding the utility and effectiveness of the neural networks in automating the network management tasks

Population health profile of the Northern Melbourne Division of General Practice

© Commonwealth of Australia To view the data presented in the profiles in Excel spreadsheets or via Interactive Mapping, please see the PHIDU website at: www.publichealth.gov.au

Intensification of precipitation extremes with warming in a cloud resolving model

A cloud-resolving model is used to investigate the effect of warming on high percentiles of precipitation (precipitation extremes) in the idealized setting of radiative-convective equilibrium. While this idealized setting does not allow for several factors that influence precipitation in the tropics, it does allow for an evaluation of the response of precipitation extremes to warming in simulations with resolved rather than parameterized convection. The methodology developed should also be applicable to less idealized simulations. Modeled precipitation extremes are found to increase in magnitude in response to an increase in sea surface temperature. A dry static energy budget is used to relate the changes in precipitation extremes to changes in atmospheric temperature, vertical velocity, and precipitation efficiency. To first order, the changes in precipitation extremes are captured by changes in the mean temperature structure of the atmosphere. Changes in vertical velocities play a secondary role and tend to weaken the strength of precipitation extremes, despite an intensification of updraft velocities in the upper troposphere. The influence of changes in condensate transports on precipitation extremes is quantified in terms of a precipitation efficiency; it does not change greatly with warming. Tropical precipitation extremes have previously been found to increase at a greater fractional rate than the amount of atmospheric water vapor in observations of present-day variability and in some climate model simulations with parameterized convection. But the fractional increases in precipitation extremes in the cloud-resolving simulations are comparable in magnitude to those in surface water vapor concentrations (owing to a partial cancellation between dynamical and thermodynamical changes), and are substantially less than the fractional increases in column water vapor.Texas Advanced Computing CenterNational Science Foundation (U.S.) (TeraGrid resources

Population health profile of the Far North Queensland Rural Division of General Practice

© Commonwealth of Australia To view the data presented in the profiles in Excel spreadsheets or via Interactive Mapping, please see the PHIDU website at: www.publichealth.gov.au

Population health profile of the St George District Division of General Practice

© Commonwealth of Australia To view the data presented in the profiles in Excel spreadsheets or via Interactive Mapping, please see the PHIDU website at: www.publichealth.gov.au

Population health profile of the Far North Queensland Rural Division of General Practice

© Commonwealth of Australia To view the data presented in the profiles in Excel spreadsheets or via Interactive Mapping, please see the PHIDU website at: www.publichealth.gov.au

Population health profile of the Manly Warringah Division of General Practice

© Commonwealth of Australia To view the data presented in the profiles in Excel spreadsheets or via Interactive Mapping, please see the PHIDU website at: www.publichealth.gov.au