DBI Realizations of the Pseudo-Conformal Universe and Galilean Genesis Scenarios

The pseudo-conformal universe is an alternative to inflation in which the early universe is described by a conformal field theory on approximately flat space-time. The fields develop time-dependent expectation values, spontaneously breaking the conformal symmetries to a de Sitter subalgebra, and fields of conformal weight zero acquire a scale invariant spectrum of perturbations. In this paper, we show that the pseudo-conformal scenario can be naturally realized within theories that would ordinarily be of interest for DBI inflation, such as the world-volume theory of a probe brane in an AdS bulk space-time. In this approach, the weight zero spectator field can be associated with a geometric flat direction in the bulk, and its scale invariance is protected by a shift symmetry.Comment: 34 page

An Evaluation of Nutrient Trading Options in Virginia: A Role for Agriculture?

Water Quality Trading, offsets, nutrients, agriculture, BMPs, Environmental Economics and Policy,

The QM9 Benchmark

e3nn is an artificial neural network which operates on atomic coordinates and achieves equivariance to the special euclidean group in three dimensions by using spherical harmonics as features. The main experiment is to benchmark the model against a standard chemical data set called QM9, on which e3nn achieves state of the art performance on three of twelve regression targets. Along with empirical results, this thesis presents theoretical argumentation for why e3nn outperforms its closest relatives, SchNet and Cormorant, on some regression targets. Significant background regarding machine learning, quantum chemistry, and the special euclidean group is also presented

Changes in SEBT Scores in College Basketball Players Participating in a Preventative Ankle Program

In volume 4, Issue 1 of the JSMAHS you will find Professional Research Abstracts, as well as Bachelor Student Research Abstracts and Case Reports. Thank you for viewing this 4th Annual OATA Special Editio

Photogrammetry System and Method for Determining Relative Motion Between Two Bodies

A photogrammetry system and method provide for determining the relative position between two objects. The system utilizes one or more imaging devices, such as high speed cameras, that are mounted on a first body, and three or more photogrammetry targets of a known location on a second body. The system and method can be utilized with cameras having fish-eye, hyperbolic, omnidirectional, or other lenses. The system and method do not require overlapping fields-of-view if two or more cameras are utilized. The system and method derive relative orientation by equally weighting information from an arbitrary number of heterogeneous cameras, all with non-overlapping fields-of-view. Furthermore, the system can make the measurements with arbitrary wide-angle lenses on the cameras

Finding symmetry breaking order parameters with Euclidean neural networks

Curie's principle states that “when effects show certain asymmetry, this asymmetry must be found in the causes that gave rise to them.” We demonstrate that symmetry equivariant neural networks uphold Curie's principle and can be used to articulate many symmetry-relevant scientific questions as simple optimization problems. We prove these properties mathematically and demonstrate them numerically by training a Euclidean symmetry equivariant neural network to learn symmetry breaking input to deform a square into a rectangle and to generate octahedra tilting patterns in perovskites

Disaster Planning and Management

Recent events such as hurricanes, tsunamis, earthquakes, power outages, and the threat of pandemics have highlighted our vulnerability to natural disasters. This vulnerability is exacerbated by many organizations\u27 increasing dependence on computer, telecommunications, and other technologies, and trends toward integrating suppliers and business partners into everyday business operations. In response many organizations are implementing disaster recovery planning processes. In this paper we discuss how to identify threats and scenarios; how to articulate the disaster recovery strategies; and four elements of the generic disaster recovery plan: Mitigation, preparedness, response, and recovery. We then provide examples of software that can help disaster recovery professionals in the planning and implementation process. Finally we present some trends that will reinforce the criticality of the issue

Benefits of Intervention in Managing Chronic Pain

poster abstractAs studies of individuals with chronic pain continue more is being understood about cognitive and behavioral components that drive pain. While the goal of treatment is to reduce or eliminate the locus of pain, another model known as intervention, focuses more on self-management and cognitive change. The presented research is the 12-month results of trails of intervention for chronic pain management. Three hundred participants were recruited from the VA of Indianapolis. All participants were being seen in a primary care setting for severe pain that persisted for more than 3 months. Participants were randomly assigned to two groups: the control group, which would continue receiving the usual care for their pain; and the variable group, which would receive intervention. Intervention methods included automated home-based monitoring, selective care manager calls, weekly case review with MD specialist and escalation of therapy using an evidence-based stepped care analgesic algorithm. Participants pain was measured using the Brief Pain Inventory (BPI), which is a self-report assessing the severity of pain and impact of pain on daily functioning. The trial results showed that a 1-point difference in BPI scores between the intervention and control group. Participants in the intervention group showed a good adherence and satisfaction with automate and nurse components of intervention. These results show pain management through intervention has a positive effect on pain, which in turn has an effect on depression, anxiety, and outlook. Intervention aims to empower patients to become active participants in the management of their illness and feel more in control of their pain in hopes of giving them a better outlook of their situation