Land Bedding as a Method of Drainage in the Gulf Coast Region of Texas.

6 p

Large Charge Four-Dimensional Non-Extremal N=2 Black Holes with R^2-Terms

We consider N=2 supergravity in four dimensions with small R^2 curvature corrections. We construct large charge non-extremal black hole solutions in all space, with either a supersymmetric or a non-supersymmetric extremal limit, and analyze their thermodynamic properties. This generalizes some of the extremal solutions presented in [arXiv:0902.0831]. The indexed entropy of the non-extremal extension of the supersymmetric black hole, has the form of the extremal entropy, with the charges replaced by a function of the charges, the moduli at infinity and the non-extremality parameter. This is the same behavior as in the case without R^2-terms.Comment: 13 pages. v2: stripped down to letter format, based on the background given in [arXiv:0902.0831]. v3: up to date with CQG versio

Large Charge Four-Dimensional Extremal N=2 Black Holes with R^2-Terms

We consider N=2 supergravity in four dimensions with small R^2 curvature corrections. We construct large charge extremal supersymmetric and non-supersymmetric black hole solutions in all space, and analyze their thermodynamic properties.Comment: 18 pages. v2,3: minor fixe

Developing a Simple Bioassay for Detection of Alfalfa Autotoxicity in Field Soils

Alfalfa autotoxicity causes yield reductions in alfalfa production by inhibiting plant establishment and decreasing plant productivity. Accurate predictions regarding autotoxic potential of the soil in a given field at a given time are an essential tool for alfalfa growers to make appropriate planting decisions. To address this issue, we are developing a soil bioassay that can be conducted as a mail-in soil test for alfalfa growers through plant diagnostic service laboratories. We hypothesize that we will detect differences in seed germination, emergence, root length, and root morphology between control and autotoxic soils. A preliminary trial testing alfalfa field soils and fallow field soils against a potting soil control found significant response of percent abnormal roots (P \u3c 0.001) and average root length (P \u3c 0.05) to soil variety. There were significantly lower percentages of abnormal roots in the control and fallow soils than in alfalfa soils (P \u3c 0.05) and significantly longer roots in the control soil than in alfalfa soils (P \u3c 0.05). An ongoing field trial encompassing multiple alfalfa varieties and termination dates will be used to validate the bioassay methodology for detecting autotoxicity. Implementing this bioassay could inform alfalfa establishment decisions, reduce yield losses from autotoxicity, and allow collection of data that can be used to further understand alfalfa autotoxicity

Land Bedding as a Method of Drainage in the Gulf Coast Region of Texas.

6 p

Sustainability Education and Organizational Change: A Critical Case Study of Barriers and Change Drivers at a Higher Education Institution

Integrating sustainability within institutions of higher education can have a tremendous impact on students, faculty, and the larger community. Sustainability efforts also experience many barriers to implementation within higher education contexts. A change management perspective can help characterize these barriers and ways to overcome them. In this critical case study, we use a process model to examine the kinds of barriers Kennesaw State University (KSU) has faced regarding implementation of academic sustainability and to evaluate change drivers that can advance sustainability during a time of leadership change. The process model evaluates barriers and change drivers according to published frameworks, and provides a way for higher education institutions to identify the most difficult barriers, easily surmountable barriers, and areas where change drivers can have the most impact. At KSU, the process model identified the self-determination of middle-tier change drivers as the most important way to advance sustainable development in higher education institutions (SD in HEI) until new leadership emerges. The process model is iterative and modifiable, because the specific frameworks used in the process model may vary depending upon the needs of each HEI and stage of progression toward SD

Backward Evolving Quantum States

The basic concept of the two-state vector formalism, which is the time symmetric approach to quantum mechanics, is the backward evolving quantum state. However, due to the time asymmetry of the memory's arrow of time, the possible ways to manipulate a backward evolving quantum state differ from those for a standard, forward evolving quantum state. The similarities and the differences between forward and backward evolving quantum states regarding the no-cloning theorem, nonlocal measurements, and teleportation are discussed. The results are relevant not only in the framework of the two-state vector formalism, but also in the framework of retrodictive quantum theory.Comment: Contribution to the J.Phys. A special issue in honor of GianCarlo Ghirard

Industrial experiences with resource management under software randomization in ARINC653 avionics environments

Injecting randomization in different layers of the computing platform has been shown beneficial for security, resilience to software bugs and timing analysis. In this paper, with focus on the latter, we show our experience regarding memory and timing resource management when software randomization techniques are applied to one of the most stringent industrial environments, ARINC653-based avionics. We describe the challenges in this task, we propose a set of solutions and present the results obtained for two commercial avionics applications, executed on COTS hardware and RTOS.The work leading to these results has been funded by the European Community’s Seventh Framework Programme (FP7/2007-2013) un- der the PROXIMA Project (grant agreement 611085). Moreover, it has been partially supported by the Spanish Ministry of Science and Innovation under grant TIN2015-65316-P and the HiPEAC Network of Excellence.Peer ReviewedPostprint (published version