University of Nebraska Omaha

About: University of Nebraska Omaha is a education organization based out in Omaha, Nebraska, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 4526 authors who have published 8905 publications receiving 213914 citations. The organization is also known as: UNO & University of Omaha.

Global Land Ice Measurements from Space (GLIMS): Remote Sensing and GIS Investigations of the Earth's Cryosphere

Abstract: Concerns over greenhouse‐gas forcing and global temperatures have initiated research into understanding climate forcing and associated Earth‐system responses. A significant component is the Earth's cryosphere, as glacier‐related, feedback mechanisms govern atmospheric, hydrospheric and lithospheric response. Predicting the human and natural dimensions of climate‐induced environmental change requires global, regional and local information about ice‐mass distribution, volumes, and fluctuations. The Global Land‐Ice Measurements from Space (GLIMS) project is specifically designed to produce and augment baseline information to facilitate glacier‐change studies. This requires addressing numerous issues, including the generation of topographic information, anisotropic‐reflectance correction of satellite imagery, data fusion and spatial analysis, and GIS‐based modeling. Field and satellite investigations indicate that many small glaciers and glaciers in temperate regions are downwasting and retreating, a...

Recent advances on support vector machines research

Abstract: Support vector machines (SVMs), with their roots in Statistical Learning Theory (SLT) and optimization methods, have become powerful tools for problem solution in machine learning. SVMs reduce most machine learning problems to optimization problems and optimization lies at the heart of SVMs. Lots of SVM algorithms involve solving not only convex problems, such as linear programming, quadratic programming, second order cone programming, semi-definite programming, but also non-convex and more general optimization problems, such as integer programming, semi-infinite programming, bi-level programming and so on. The purpose of this paper is to understand SVM from the optimization point of view, review several representative optimization models in SVMs, their applications in economics, in order to promote the research interests in both optimization-based SVMs theory and economics applications. This paper starts with summarizing and explaining the nature of SVMs. It then proceeds to discuss optimization...

Do jurors share a common understanding concerning eyewitness behavior

Abstract: It would seem that the American judiciary have traditionally viewed knowledge of variables affecting eyewitness behavior as a part of common understanding. The presumption would then be that there is a body of knowledge in this regard that is indeed shared and that this shared understanding conforms substantially to objective reality. Multiple-choice format questionnaires designed to tap such knowledge were administered to two somewhat disparate samples of college students (n=176) and two samples of the citizenry at large in Washington D.C., 46 of whom had not had criminal trial jury experience in the previous five years and 43 of whom had. Across samples the typical respondent's performance was significantly above chance but not at all high in absolute terms. This typical performance involved well above chance levels of accuracy on about half the items and not different from chance accuracy on the others. At least within the college student samples, certain demographic variables were not related to accuracy of response. Likewise, previous criminal trial jury experience did not improve accuracy for the Washington D.C. respondents by an amount that would be practically significant. It was concluded that the common understanding doctrine cannot in general be supported.

Approximate entropy detects the effect of a secondary cognitive task on postural control in healthy young adults: a methodological report.

Abstract: Background Biomechanical measures of postural stability, while generally useful in neuroscience and physical rehabilitation research, may be limited in their ability to detect more subtle influences of attention on postural control. Approximate entropy (ApEn), a regularity statistic from nonlinear dynamics, recently has demonstrated relatively good measurement precision and shown promise for detecting subtle change in postural control after cerebral concussion. Our purpose was to further explore the responsiveness of ApEn by using it to evaluate the immediate, short-term effect of secondary cognitive task performance on postural control in healthy, young adults.

Public Awareness and Action Resulting From Sex Offender Community Notification Laws

Abstract: Few studies have examined the degree to which citizens access registry information or take preventative action in response. Survey responses from a representative sample of Nebraska residents were used to examine the degree to which people access registration information, the feelings this information invokes, and if preventative measures are subsequently taken by citizens. The results suggest that the majority of citizens had not accessed registry information, although the majority of people knew the registry existed, and few respondents took any preventative measures as a result of learning sex offender information. The implications of the results on notification laws are discussed.