Evaluating Future Dangerousness and Need for Treatment: The Roles of Expert Testimony, Attributional Complexity, and Victim Type

In the current study, we explored the effect of risk-assessment testimony, attributional complexity, and victim type on participants’ perceptions of the dangerousness of a sexually violent person and his need for treatment. Participants read details of a hypothetical sexual assault of a female minor and of an adult. Expert testimony of his risk assessment consisted of clinical opinion versus structured-clinical judgment (SCJ) versus actuarial assessment. Participants perceived clinical-opinion and SCJ testimony as equally influential when forming judgments of future dangerousness. In the context of treatment, however, participants relied on actuarial testimony when judging potential for risk. In addition, attributional complexity (AC) moderated perceptions of sexual risk. Overall, results point to the need for continued refinement of assessment techniques when determining dangerousness and need for treatment

The visual boundary of Z^2

We introduce ideas from geometric group theory related to boundaries of groups. This is a mostly expository paper. We consider the visual boundary of a free abelian group, and show that it is an uncountable set with the trivial topology

An Examination of the Individual and Contextual Characteristics Associated with Active Shooter Events

In recent years, the US has experienced a substantial number of mass shooting incidents. This type of shooting incident has been termed “active shooter event” and encompasses shootings that occur in school settings as well as public settings and workplace venues. Much of the recent published literature addressing active shooter events appears to focus on tactical issues, such as training for and responding to this type of incident. Very little research, however, has examined the individual and contextual characteristics associated with active shooter events. In the current study we examine a number of factors related to 88 active shooting events involving 92 perpetrators. Our findings indicate a history of psychological and behavioral issues reported in more than 50% of the active shooters studied. In addition, 60% of shooters had evidence of additional stressors beyond those associated with psychological and behavioral issues. These findings highlight the need to continue to explore potential risk factors associated with this form of violence

Inertial frames without the relativity principle

Ever since the work of von Ignatowsky circa 1910 it has been known (if not always widely appreciated) that the relativity principle, combined with the basic and fundamental physical assumptions of locality, linearity, and isotropy, leads almost uniquely to either the Lorentz transformations of special relativity or to Galileo's transformations of classical Newtonian mechanics. Thus, if one wishes to entertain the possibility of Lorentz symmetry breaking within the context of the class of local physical theories, then it seems likely that one will have to abandon (or at the very least grossly modify) the relativity principle. Working within the framework of local physics, we reassess the notion of spacetime transformations between inertial frames in the absence of the relativity principle, arguing that significant and nontrivial physics can still be extracted as long as the transformations are at least linear. An interesting technical aspect of the analysis is that the transformations now form a groupoid/pseudo-group --- it is this technical point that permits one to evade the von Ignatowsky argument. Even in the absence of a relativity principle we can nevertheless deduce clear and compelling rules for the transformation of space and time, rules for the composition of 3-velocities, and rules for the transformation of energy and momentum. As part of the analysis we identify two particularly elegant and physically compelling models implementing "minimalist" violations of Lorentz invariance --- in the first of these minimalist models all Lorentz violations are confined to carefully delineated particle physics sub-sectors, while the second minimalist Lorentz-violating model depends on one free function of absolute velocity, but otherwise preserves as much as possible of standard Lorentz invariant physics.Comment: V1: 42 pages; V2: now 43 pages; added 8 references, added brief discussion of Carroll kinematics, added brief discussion of Robertson-Mansouri-Sexl framework, added various minor clarifications. V3: now 51 pages; added another 34 references; more discussion of DSR and relative locality; various clarifications and extensions; this version accepted for publication in JHE

PRETA Air: Hazardous Air Pollutants

This report shows that people living in a 10-county region of southwestern Pennsylvania have a significantly higher than acceptable risk of developing cancer due to exposure to toxic air pollution released by manufacturing processes, energy production and diesel combustionThe Pittsburgh Regional Environmental Threats Analysis Report -- funded by The Heinz Endowments -- analyzes publicly available data on hazardous air pollutants (HAPs), also known as air toxics. Air toxics include approximately 200 pollutants identified by the U.S. Environmental Protection Agency (EPA) as known or suspected to cause cancer or other serious health effects, such as respiratory, neurological and reproductive disorders. The report is the third in a series as part of a project examining major threats to human health and the environment in southwestern Pennsylvania

Swing wing aerial drone (SWAD)

Drones are unmanned aerial vehicles that have a variety of different applications in the field. Drones are very helpful for first responders such as firefighters, police, and even ranchers and large landowners. Most drones have a fixed wing. This report will show the design, construction, and fluid dynamic testing of a drone that has multiple wing positions. These modes are the straight wing position and swept back position. This design will change the flight profile of the plane, allowing for the user to launch at a faster speed and the glider to get to the desired location faster. Once the glider is at the desired location the wings can sweep forward to the straight position for more control. More control allows for better surveillance of an area. The wind tunnel was used to test drag and lift on models of our glider. Tests were done on three models: one straight wing model, one model with wings swept back 17.5°, and one model with wings swept back 25°. These models were also tested at multiple angles of attack between -15° to 15° in 5° increments. It was determined that, as the wings swept back, the models produced more drag. The straight wing model produced 0.393 lbs. of drag, the 17.5° model produced 1.09 lbs. of drag, and the 25° model produced 0.7 lbs. of drag. There were insufficient tests for lift that produced correct data. After these wind tunnel tests, a mechanism was implemented on the commercially available glider, the Radian Pro, that sweeps the wing back 25°. Once this was implemented, a flight test was conducted to compare models

Proprioceptive Inference for Dual-Arm Grasping of Bulky Objects Using RoboSimian

This work demonstrates dual-arm lifting of bulky objects based on inferred object properties (center of mass (COM) location, weight, and shape) using proprioception (i.e. force torque measurements). Data-driven Bayesian models describe these quantities, which enables subsequent behaviors to depend on confidence of the learned models. Experiments were conducted using the NASA Jet Propulsion Laboratory's (JPL) RoboSimian to lift a variety of cumbersome objects ranging in mass from 7kg to 25kg. The position of a supporting second manipulator was determined using a particle set and heuristics that were derived from inferred object properties. The supporting manipulator decreased the initial manipulator's load and distributed the wrench load more equitably across each manipulator, for each bulky object. Knowledge of the objects came from pure proprioception (i.e. without reliance on vision or other exteroceptive sensors) throughout the experiments

A programmable SDN+NFV-based architecture for UAV telemetry monitoring

The explosive growth in the worldwide use of Unmanned Aerial Vehicles (UAVs) has raised a critical concern with respect to the adequate management of their ad hoc network configuration as required by their mobility management process. As UAVs migrate among ground control stations, associated network services, routing and operational control must also rapidly migrate to ensure a seamless transition. In this paper, we present a novel, lightweight and modular architecture which supports high mobility and situational-awareness through the application of Software Defined Networking (SDN) and Network Function Virtualization (NFV) principles on top of the UAV infrastructure. By combining SDN+NFV programmability we can achieve a robust migration of UAV-related network services, such as network monitoring and anomaly detection as well as smooth UAV migration that confronts high mobility requirements. The proposed container-based monitoring and anomaly detection Network Functions (NFs) as employed within our architecture can be tuned to specific UAV types providing operators better insight during live, high-mobility deployments. We evaluate our architecture against telemetry from over 80 flights from a scientific research UAV infrastructure showing our ability to tune and detect emerging challenges

Modelling gravity on a hyper-cubic lattice

We present an elegant and simple dynamical model of symmetric, non-degenerate (n x n) matrices of fixed signature defined on a n-dimensional hyper-cubic lattice with nearest-neighbor interactions. We show how this model is related to General Relativity, and discuss multiple ways in which it can be useful for studying gravity, both classical and quantum. In particular, we show that the dynamics of the model when all matrices are close to the identity corresponds exactly to a finite-difference discretization of weak-field gravity in harmonic gauge. We also show that the action which defines the full dynamics of the model corresponds to the Einstein-Hilbert action to leading order in the lattice spacing, and use this observation to define a lattice analogue of the Ricci scalar and Einstein tensor. Finally, we perform a mean-field analysis of the statistical mechanics of this model.Comment: 5 page