4,021 research outputs found
THE INFLUENCE OF THE THREAT OF FLOODING ON HOUSING VALUES IN FARGO, NORTH DAKOTA AND MOORHEAD, MINNESOTA
The hedonic valuation method (HVM) was used to quantify the impact of the threat of flooding on housing values in Fargo, North Dakota and Moorhead, Minnesota (Fargo-Moorhead). Prices of 3,783 Fargo-Moorhead homes sold between 1995 and 1998 were regressed against structural housing characteristics, neighborhood and environmental indicators, and three flood risk variables. Being located in the 100-year floodplain lowered the sale price of an average home by 10,241 less than similar homes located outside the floodplain and before the 1997 flood event. The aftermath of publicity of the 1997 flood was specifically responsible for average 100-year floodplain homes being reduced by an additional 3,100 more than similar homes not in the floodplain. It was concluded that homebuyers in Fargo-Moorhead place a value on flooding risk, that more disclosure is needed regarding the location of the 500-year floodplain, and that substantial housing value related benefits are likely to be generated by various flood mitigation projects in the area that result in a re-designation and reduction of the 100-year floodplain.Hedonic valuation method, flooding, floodplain, Fargo, Moorhead, Red River of the North, housing values, Community/Rural/Urban Development,
On the relationship between sigma models and spin chains
We consider the two-dimensional non-linear sigma model with
topological term using a lattice regularization introduced by Shankar and Read
[Nucl.Phys. B336 (1990), 457], that is suitable for studying the strong
coupling regime. When this lattice model is quantized, the coefficient
of the topological term is quantized as , with integer or
half-integer. We study in detail the relationship between the low energy
behaviour of this theory and the one-dimensional spin- Heisenberg model. We
generalize the analysis to sigma models with other symmetries.Comment: To appear in Int. J. MOd. Phys.
The Right of Publicity: A New Framework for Regulating Facial Recognition
For over a century, the right of publicity (ROP) has protected individuals from unwanted commercial exploitation of their identities. Originating around the turn of the twentieth century in response to the newest image-appropriation technologies of the time, including portrait photography, mass-production packaging, and a ubiquitous printing press, the ROP has continued to evolve along with each new wave of technologies that enable companies to exploit peoples’ images and identities for commercial gain. Over time, the ROP has protected identities from misappropriation in photographs, films, advertisements, action figures, baseball cards, animatronic robots, video game avatars, and even digital resurrection in film sequels. Critically, as new technologies gained capacity for mass appropriation, the ROP expanded to protect against these practices. The newest example of such a technology is facial recognition (FR). FR systems derive their primary economic value from commercially exploiting massive facial image databases filled with millions of individual likenesses and identities, often obtained without sufficient consent. Such appropriations go beyond mere acquisition, playing critical roles in training FR algorithms, matching identities to new images, and displaying results to users. Without the capacity to appropriate and commercially exploit billions of images and identities, most FR systems would fail to function as commercial products. This article develops a novel theory for how ROP claims could apply to FR systems and details how their history and development, both statutory and common law, demonstrate their power to impose liability on entities that conduct mass image and identity appropriation, especially through innovative visual technologies. This provides a robust framework for FR regulation while at the same time balancing issues of informed consent and various public interest concerns, such as compatibility with copyright law and First Amendment-protected news reporting
New Cooperative Development Issues
This article briefly reviews the increased interest in new cooperative development, factors for successful cooperative development, and strategies to improve the performance of new and emerging cooperatives. The article highlights issues identified by a panel of cooperative leaders, USDA specialists and academic expertsCooperatives, New Cooperatives, Developing Cooperatives, Agribusiness, P13, L22, L43,
Open World Assistive Grasping Using Laser Selection
Many people with motor disabilities are unable to complete activities of
daily living (ADLs) without assistance. This paper describes a complete robotic
system developed to provide mobile grasping assistance for ADLs. The system is
comprised of a robot arm from a Rethink Robotics Baxter robot mounted to an
assistive mobility device, a control system for that arm, and a user interface
with a variety of access methods for selecting desired objects. The system uses
grasp detection to allow previously unseen objects to be picked up by the
system. The grasp detection algorithms also allow for objects to be grasped in
cluttered environments. We evaluate our system in a number of experiments on a
large variety of objects. Overall, we achieve an object selection success rate
of 88% and a grasp detection success rate of 90% in a non-mobile scenario, and
success rates of 89% and 72% in a mobile scenario
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