Military Survivor Benefit Plan: Background and Issues for Congress

[Excerpt] This report describes the categories of beneficiaries eligible for survivor benefits under the military Survivor Benefit Plan (SBP), the formulas used in computing the income level (including the integration of SBP benefits with other federal benefits), and the costs of SBP participation incurred by the retiree and/or the beneficiary. While this report focuses primarily on SBP, survivors of military members may be eligible for other benefits, including life insurance, TRICARE health benefits, Annuity for Certain Military Surviving Spouses (ACMSS), the Minimum Income Widow Annuity, Department of Defense (DOD) death gratuity, commissary and exchange privileges, and other federal benefits, such as Social Security

Multiblob coarse-graining for mixtures of long polymers and soft colloids

Soft nanocomposites represent both a theoretical and an experimental challenge due to the high number of the microscopic constituents that strongly influence the behaviour of the systems. An effective theoretical description of such systems invokes a reduction of the degrees of freedom to be analysed, hence requiring the introduction of an efficient, quantitative, coarse-grained description. We here report on a novel coarse graining approach based on a set of transferable potentials that quantitatively reproduces properties of mixtures of linear and star-shaped homopolymeric nanocomposites. By renormalizing groups of monomers into a single effective potential between a $f$-functional star polymer and an homopolymer of length $N_0$, and through a scaling argument, it will be shown how a substantial reduction of the to degrees of freedom allows for a full quantitative description of the system. Our methodology is tested upon full monomer simulations for systems of different molecular weight, proving its full predictive potential

Capacity Building for Lavumisa Irrigation Development Project: process documentation

Water resource management / Multiple use / Project planning / Project management / Stakeholders / Agricultural cooperatives / Participatory management / Sugarcane / Irrigated farming / Water supply / Drinking water / Sanitation / Swaziland / Maplotini / Lavumisa Irrigation Development Project

Soft self-assembled nanoparticles with temperature-dependent properties

The fabrication of versatile building blocks that are reliably self-assemble into desired ordered and disordered phases is amongst the hottest topics in contemporary material science. To this end, microscopic units of varying complexity, aimed at assembling the target phases, have been thought, designed, investigated and built. Such a path usually requires laborious fabrication techniques, especially when a specific funcionalisation of the building blocks is required. Telechelic star polymers, i.e., star polymers made of a number $f$ of di-block copolymers consisting of solvophobic and solvophilic monomers grafted on a central anchoring point, spontaneously self-assemble into soft patchy particles featuring attractive spots (patches) on the surface. Here we show that the tunability of such a system can be widely extended by controlling the physical and chemical parameters of the solution. Indeed, at fixed external conditions the self-assembly behaviour depends only on the number of arms and/or on the ratio of solvophobic to solvophilic monomers. However, changes in temperature and/or solvent quality makes it possible to reliably change the number and size of the attractive patches. This allows to steer the mesoscopic self-assembly behaviour without modifying the microscopic constituents. Interestingly, we also demonstrate that diverse combinations of the parameters can generate stars with the same number of patches but different radial and angular stiffness. This mechanism could provide a neat way of further fine-tuning the elastic properties of the supramolecular network without changing its topology.Comment: 8 pages, 7 figures. Submitted to Nanoscal

Computerized data reduction techniques for nadir viewing remote sensors

Computer resources have been developed for the analysis and reduction of MAPS experimental data from the OSTA-1 payload. The MAPS Research Project is concerned with the measurement of the global distribution of mid-tropospheric carbon monoxide. The measurement technique for the MAPS instrument is based on non-dispersive gas filter radiometer operating in the nadir viewing mode. The MAPS experiment has two passive remote sensing instruments, the prototype instrument which is used to measure tropospheric air pollution from aircraft platforms and the third generation (OSTA) instrument which is used to measure carbon monoxide in the mid and upper troposphere from space platforms. Extensive effort was also expended in support of the MAPS/OSTA-3 shuttle flight. Specific capabilities and resources developed are discussed

FY2018 National Defense Authorization Act: Selected Military Personnel Issues

[Excerpt] Military personnel issues typically generate significant interest from many Members of Congress and their staffs. This report provides a brief synopsis of selected sections in the National Defense Authorization Act for FY2018 (H.R. 2810), as passed by the House on July 14, 2017, and the Senate on September 18, 2017. The FY2018 NDAA conference report was passed by the House on November 14, 2017, and the Senate on November 16, 2017. On December 12, President Donald J. Trump signed the bill into law (P.L. 115-91). Issues include military end-strengths, pay and benefits, and other personnel policy issues. This report focuses exclusively on the NDAA legislative process. It does not include language concerning appropriations, or tax implications of policy choices, topics that are addressed in other CRS products. Issues that have been discussed in the previous year’s defense personnel reports are designated with an asterisk in the relevant section titles of this report

Boolean networks with robust and reliable trajectories

We construct and investigate Boolean networks that follow a given reliable trajectory in state space, which is insensitive to fluctuations in the updating schedule, and which is also robust against noise. Robustness is quantified as the probability that the dynamics return to the reliable trajectory after a perturbation of the state of a single node. In order to achieve high robustness, we navigate through the space of possible update functions by using an evolutionary algorithm. We constrain the networks to having the minimum number of connections required to obtain the reliable trajectory. Surprisingly, we find that robustness always reaches values close to 100 percent during the evolutionary optimization process. The set of update functions can be evolved such that it differs only slightly from that of networks that were not optimized with respect to robustness. The state space of the optimized networks is dominated by the basin of attraction of the reliable trajectory.Comment: 12 pages, 9 figure