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New Orleans, LA, United States

The University of New Orleans, often referred to locally as UNO, is a medium-sized public urban university located on the New Orleans Lakefront within New Orleans, Louisiana, United States. It is a member of the University of Louisiana System and the Urban 13 association. In the fall of 2011 the Southern Association of Colleges and Schools Commission on Colleges gave approval for the University of New Orleans to join the University of Louisiana System, concluding the five-month transition from the LSU System since ACT 419 of the 2011 Louisiana Legislative Regular Session was signed into law in July 2011. Soon after the transition was approved, the UNO Presidential Search Committee selected UNO alumnus Peter J. Fos as president. Wikipedia.


Frick P.J.,University of New Orleans | Nigg J.T.,Oregon Health And Science University
Annual Review of Clinical Psychology | Year: 2012

This review evaluates the diagnostic criteria for three of the most common disorders for which children and adolescents are referred for mental health treatment: attention deficit hyperactivity disorder (ADHD), oppositional defiant disorder (ODD), and conduct disorder (CD). Although research supports the validity and clinical utility of these disorders, several issues are highlighted that could enhance the current diagnostic criteria. For ADHD, defining the core features of the disorder and its fit with other disorders, enhancing the validity of the criteria through the lifespan, considering alternative ways to form subtypes of the disorder, and modifying the age-of-onset criterion are discussed relative to the current diagnostic criteria. For ODD, eliminating the exclusionary criteria of CD, recognizing important symptom domains within the disorder, and using the cross-situational pervasiveness of the disorder as an index of severity are highlighted as important issues for improving classification. Finally, for CD, enhancing the current subtypes related to age of onset and integrating callous-unemotional traits into the diagnostic criteria are identified as key issues for improving classification. © Copyright ©2012 by Annual Reviews. All rights reserved.


Allenbach D.M.,University of New Orleans
Reviews in Fish Biology and Fisheries | Year: 2011

Fluctuating asymmetry (FA), which has been examined in a variety of plants and animals, is widely promoted as a useful bioindicator of exogenous stressors in habitats, whether of natural or anthropogenic origin. Wildlife managers and researchers often use a specific group of organisms as an indicator of the health of a given habitat. The purpose of this review is to demonstrate that FA can be an effective fish biomonitoring tool by presenting a vote counting meta-analysis of 81 fish FA studies published between 1966 and the first half of 2009. The vote counts were analyzed with the G test for independence to determine whether the probability of observing significant morphological asymmetry is determined by character type, exogenous stressor type, or fish order. The information obtained from these papers and their analysis is then used to outline areas in which FA studies can be improved: (1) carefully considering character choice; (2) distinguishing between asymmetry types; (3) determining the level of measurement error in between-sides character variation; (4) determining baseline FA levels in populations; (5) increasing the number of laboratory studies which corroborate field observations of FA; (6) conducting true replications of studies to validate previous findings. Only with more critical experimental design and data analysis can FA be used as a powerful tool for assessing environmental degradation. © 2010 Springer Science+Business Media B.V.


Mobley D.L.,University of New Orleans
Journal of Computer-Aided Molecular Design | Year: 2012

Molecular simulations see widespread and increasing use in computation and molecular design, especially within the area of molecular simulations applied to biomolecular binding and interactions, our focus here. However, force field accuracy remains a concern for many practitioners, and it is often not clear what level of accuracy is really needed for payoffs in a discovery setting. Here, I argue that despite limitations of today's force fields, current simulation tools and force fields now provide the potential for real benefits in a variety of applications. However, these same tools also provide irreproducible results which are often poorly interpreted. Continued progress in the field requires more honesty in assessment and care in evaluation of simulation results, especially with respect to convergence. © 2011 Springer Science+Business Media B.V.


Charalampidis D.,University of New Orleans
IEEE Transactions on Image Processing | Year: 2010

A filter is steerable if transformed (i.e., rotated, scaled, etc.) versions of its impulse response can be expressed as linear combinations of a fixed set of basis functions. Steerability is important for numerous image processing applications. However, it is a property presently shared only by a specific class of linear filters. On the other hand, several classes of nonlinear filters, such as weighted median filters (WMFs), may offer certain advantages over linear filters such as robustness and edge preserving capabilities. In this paper, the concept of steerability is extended to encompass WMFs. It will be shown that, in general, a steerable WMF design technique needs to be capable of handling negative weights. Although methods that allow the design of WMFs admitting negative weights have already been proposed, such methods do not necessarily produce filters that are steerable, as opposed to the approach presented in this work. Experimental results illustrate the applicability of steerable WMFs in two applications, namely edge detection and orientation analysis. © 2006 IEEE.


Grant
Agency: NSF | Branch: Standard Grant | Program: | Phase: Secure &Trustworthy Cyberspace | Award Amount: 299.98K | Year: 2016

One of the main obstacles in providing extensive hands-on experience in cybersecurity classes is the substantial amount of manual work involved in creating and grading the exercise. Combined with the frequent need to update the exercises, this obstacle effectively limits that amount of hands-on work that gets incorporated into cybersecurity education. This project seeks to eliminate such barriers, and to greatly improve the efficiency of the educational process by automating the most time-consuming tasks.

This project makes two main contributions to cybersecurity education: the development of a specification-driven, dynamic environment for implementing realistic cyber defense and forensic analysis exercises; and the advanced support for class management and automated evaluation. The platform, AutoCUE, provides a high-level specification language, and an execution runtime that enable instructors to easily and efficiently run realistic scenarios that result in customized environments; based on the same methods, the system also be used to automatically create of realistic experimental data sets. The infrastructure provides an automated class management component, which consists of: a) deployment automation module, which guarantees consistent student lab environment, and central control by the instructor; b) scenario personalization module, which can generate customized exercises for each student (for evaluation purposes); and c) automated grading module, which combines ideas from capture-the-flag competitions and environment sensors to track student progress and automate the grading process. The project also provides ready-to-use seed content for two classes: digital forensics and network penetration testing.

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