University of Colorado Colorado Springs

About: University of Colorado Colorado Springs is a education organization based out in Colorado Springs, Colorado, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 6664 authors who have published 10872 publications receiving 323416 citations. The organization is also known as: UCCS & University of Colorado at Colorado Springs.

Psychometric validation of the rhinitis control assessment test: a brief patient-completed instrument for evaluating rhinitis symptom control.

Abstract: Background Allergic rhinitis is common, but a validated tool for comprehensive assessment of disease control is not available Objective To develop a simple patient-completed instrument (the Rhinitis Control Assessment Test [RCAT]) to help detect problems with control of rhinitis symptoms Methods During a visit to an allergy specialist, 410 patients with allergic rhinitis completed a Total Nasal Symptom Score (TNSS) assessment and the 26-item developmental RCAT Physicians also completed a global assessment of rhinitis symptom control for each patient Results Stepwise regression methods identified 6 items from the developmental RCAT (frequency of nasal congestion, sneezing, and watery eyes; sleep interference; activity avoidance; and self-assessed control) that were most predictive of the allergist's global rating of rhinitis symptom control A summated rating scale from these 6 items showed good convergent validity ( r > 070) with scale scores from the TNSS The discriminant validity of the 6-item scale was demonstrated as mean RCAT scale scores differed significantly across groups of patients differing in physician-rated disease severity ( F = 544), TNSS severity ( F = 1938), and physician-recommended change in therapy ( F = 506) ( P Conclusions The RCAT, a 6-item patient-completed instrument, has satisfactory psychometric properties and seems to be a valid tool for assessing control of allergic rhinitis Further validation studies will provide confirmation

Apprehension, self‐perceived competency, and teacher immediacy in the laboratory‐supported public speaking course: Trends and relationships

Abstract: This study examines trends and relationships among public speaking anxiety, self‐perceived public speaking competency, and teacher immediacy for students with high, moderate, and low communication apprehension in the laboratory‐supported public speaking course. Public speaking anxiety and self‐perceived competency were measured at three points during the semester. Trends of anxiety and self‐perceived competency for high, moderate, and low apprehensives were examined using two 3 × 3 mixed‐model factorial ANOVAs (one‐between and one‐within factors). All three apprehension groups perceived significant gains in competency and significant decreases in anxiety. Analyses failed to find differences among high, moderate, and low apprehensives in the amount of perceived improvement and anxiety decrease. Correlations revealed a significant negative relationship between anxiety and self‐perceived competency at each of the three test times. Correlations also revealed that there is a significant positive relationship b...

Global Alignment of Protein-Protein Interaction Networks: A Survey

Abstract: In this paper, we survey algorithms that perform global alignment of networks or graphs. Global network alignment aligns two or more given networks to find the best mapping from nodes in one network to nodes in other networks. Since graphs are a common method of data representation, graph alignment has become important with many significant applications. Protein-protein interactions can be modeled as networks and aligning these networks of protein interactions has many applications in biological research. In this survey, we review algorithms for global pairwise alignment highlighting various proposed approaches, and classify them based on their methodology. Evaluation metrics that are used to measure the quality of the resulting alignments are also surveyed. We discuss and present a comparison between selected aligners on the same datasets and evaluate using the same evaluation metrics. Finally, a quick overview of the most popular databases of protein interaction networks is presented focusing on datasets that have been used recently.

Multiregime Approach for Microscopic Traffic Simulation

Abstract: The purpose of this paper is to explore various traffic modeling aspects and theories that may overcome some of the limitations in existing microscopic simulation models. A multiregime microscopic traffic simulation approach has been formulated featuring realistic and comprehensive car-following and lane-changing logic. A prototype implementation of the multiregime approach was developed in C++ and extensively tested. The multiregime simulation results demonstrate the efficiency and validity of the proposed models for a broad range of traffic scenarios. The test and validation results indicate that the model and program outperformed traditional methods and other existing traffic simulation programs. The validity and efficiency of the model is attributed to the fact that the regimes were added to the model incrementally to reflect increasing agreement with real-world traffic flow. The techniques and corresponding models will be used to improve existing microscopic traffic simulation models and programs.