Net-Zero Water Buildings & the Air Force

The Department of Defense has tasked the uniformed services to make a percentage of their installations net-zero waste, water, and energy. The purpose of this study is to determine if United States Air Force can make 10% of their large sized installations net-zero water installations and what building types are best suited for net-zero water operations. To accomplish this, existing building floor plan data for 14 different building types on Air Force installations was collected and replicated in Building Information Modeling software. These models were then analyzed in software to determine estimated water usage and the amount of rainwater harvested per building. The models were tested for four different installations in the continental United States to account for different climate areas. The results of the 56 tests were then analyzed for trends to determine which installations and building types were most relevant for net-zero water operations. It was found that installations that experience higher average rainfalls each year are more likely to have successful net-zero water buildings. Installations in the Atlantic Ocean & Gulf of Mexico coastal areas are installations to target. Additionally, with the parameters selected for the procedure – it was found that 8 of 14 building types simulated at Eglin AFB, FL, are net-zero water positive as they harvest more rainwater than they are estimated to use. With additional floorplan data for all buildings on an installation, it would be possible to completely verify if an entire installation would be net-zero for water operations – however, the tests ran are a good indicator if net-zero water is possible or not.M.S

Perfect imaging with planar interfaces

We describe the most general homogenous, planar, light-ray-direction-changing sheet that performs one-to-one imaging between object space and image space. This is a nontrivial special case (of the sheet being homogenous) of an earlier result [Opt. Commun. 282, 2480 (2009)]. Such a sheet can be realized, approximately, with generalized confocal lenslet arrays

D-Foam Phenomenology: Dark Energy, the Velocity of Light and a Possible D-Void

In a D-brane model of space-time foam, there are contributions to the dark energy that depend on the D-brane velocities and on the density of D-particle defects. The latter may also reduce the speeds of photons linearly with their energies, establishing a phenomenological connection with astrophysical probes of the universality of the velocity of light. Specifically, the cosmological dark energy density measured at the present epoch may be linked to the apparent retardation of energetic photons propagating from nearby AGNs. However, this nascent field of `D-foam phenomenology' may be complicated by a dependence of the D-particle density on the cosmological epoch. A reduced density of D-particles at redshifts z ~ 1 - a `D-void' - would increase the dark energy while suppressing the vacuum refractive index, and thereby might reconcile the AGN measurements with the relatively small retardation seen for the energetic photons propagating from GRB 090510, as measured by the Fermi satellite.Comment: 10 pages, 3 figure

Unveiling Pseudo-Crucial Events in Noise-Induced Phase Transitions

Noise-induced phase transitions are common in various complex systems, from physics to biology. In this article, we investigate the emergence of crucial events in noise-induced phase transition processes and their potential significance for understanding complexity in such systems. We utilize the first-passage time technique and coordinate transformations to study the dynamics of the system and identify crucial events. Furthermore, we employ Diffusion Entropy Analysis, a powerful statistical tool, to characterize the complexity of the system and quantify the information content of the identified events. Our results show that the emergence of crucial events is closely related to the complexity of the system and can provide insight into its behavior. This approach may have applications in diverse fields, such as climate modeling, financial markets, and biological systems, where understanding the emergence of crucial events is of great importance