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.

Objective evaluation of expert and novice performance during robotic surgical training tasks

Abstract: Robotic laparoscopic surgery has revolutionized minimally invasive surgery for the treatment of abdominal pathologies. However, current training techniques rely on subjective evaluation. The authors sought to identify objective measures of robotic surgical performance by comparing novices and experts during three training tasks. Five novices (medical students) were trained in three tasks with the da Vinci Surgical System. Five experts trained in advanced laparoscopy also performed the three tasks. Time to task completion (TTC), total distance traveled (D), speed (S), curvature (κ), and relative phase (Φ) were measured. Before training, TTC, D, and κ were significantly smaller for experts than for novices (p < 0.05), whereas S was significantly larger for experts than for novices before training (p < 0.05). Novices performed significantly better after training, as shown by smaller TTC, D, and κ, and larger S. Novice performance after training approached expert performance. This study clearly demonstrated the ability of objective kinematic measures to distinguish between novice and expert performance and training effects in the performance of robotic surgical training tasks.

Time Work by Overworked Professionals Strategies in Response to the Stress of Higher Status

Abstract: How are professionals responding to the time strains brought on by the stress of their higher status jobs? Qualitative data from professionals reveal (a) general acceptance of the emerging temporal organization of professional work, including rising time demands and blurred boundaries around work/ nonwork times and places, and (b) time work as strategic responses to work intensification, overloads, and boundarylessness. We detected four time-work strategies: prioritizing time, scaling back obligations, blocking out time, and time shifting of obligations. These strategies are often more work-friendly than family-friendly, but "blocking out time" and "time shifting" suggest promising avenues for work-time policy and practice.

Information Systems Success

Abstract: is Research Coordinator at the Center for the Management ofInformation at the University of Arizona and Associate Professor of CollaborationEngineering at Delft University of Technology in the Netherlands. He is also Directorof Research and Development for GroupSystems.com. As a reseiu-cher, he has pub-lished more than 60 scholarly works on the theoretical foundations collaboration,and he applies his findings to the development and deployment of collaborative tech-nology to enhance team productivity, team creativity, and team satisfaction. His workon organizational transition to collaborative technology led to new insights abouthow to conceive of and deploy group support systems so as to create self-sustainingand growing communities of users. He received his Ph.D. from University of Arizonain 1994.

Evaluation of Self-Perceptions of Creativity: Is It a Useful Criterion?

Abstract: Self-evaluations or self-perceptions of creativity have been used in the past both as predictors of creative performance and as criteria. Four measures utilizing self-perceptions of creativity were assessed for their usefulness as criterion measures of creativity. Analyses provided evidence of domain specificity of self-perceptions. The scales correlated with self-report measures of creativity, but not with objective measures. Self-perceptions of creativity had strong to moderate relationships with personality and creative self-efficacy. These results suggest that although self-perceptions of creativity may provide some information about creativity, researchers should be cautious when using this measure as a criterion.

SBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formalisms and tools.

Abstract: Background: Qualitative frameworks, especially those based on the logical discrete formalism, are increasingly used to model regulatory and signalling networks. A major advantage of these frameworks is that they do not require precise quantitative data, and that they are well-suited for studies of large networks. While numerous groups have developed specific computational tools that provide original methods to analyse qualitative models, a standard format to exchange qualitative models has been missing. Results: We present the Systems Biology Markup Language (SBML) Qualitative Models Package (“qual”), an extension of the SBML Level 3 standard designed for computer representation of qualitative models of biological networks. We demonstrate the interoperability of models via SBML qual through the analysis of a specific signalling network by three independent software tools. Furthermore, the collective effort to define the SBML qual format paved the way for the development of LogicalModel, an open-source model library, which will facilitate the adoption of the format as well as the collaborative development of algorithms to analyse qualitative models. Conclusions: SBML qual allows the exchange of qualitative models among a number of complementary software tools. SBML qual has the potential to promote collaborative work on the development of novel computational approaches, as well as on the specification and the analysis of comprehensive qualitative models of regulatory and signalling networks.