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.

Older adults as adaptive decision makers: evidence from the Iowa Gambling Task.

Abstract: Older adults process emotional information differently than younger adults and may demonstrate less of a negativity bias on cognitive tasks. The Iowa Gambling Task designed by A. Bechara, H. Damasio, D. Tranel, and A. R. Damasio (1997) has been used to examine the integration of emotion and cognition in a risky-choice decision task and may give insight into differences in the decision-making strategies in younger and older adults. Eighty-eight younger adults (18-34 years) and 67 older adults (65-88 years) completed the Iowa Gambling Task. Using a theoretical decomposition of the task designed by J. R. Busemeyer and J. C. Stout (2002), the authors found that both groups were successful at solving the task but used very different strategies that reflected each group's strength. For younger adults, that strength was learning and memory. For older adults, that strength was an accurate representation of wins and losses (valence).

Multi-attribute spaces: Calibration for attribute fusion and similarity search

Abstract: Recent work has shown that visual attributes are a powerful approach for applications such as recognition, image description and retrieval However, fusing multiple attribute scores — as required during multi-attribute queries or similarity searches — presents a significant challenge Scores from different attribute classifiers cannot be combined in a simple way; the same score for different attributes can mean different things In this work, we show how to construct normalized “multi-attribute spaces” from raw classifier outputs, using techniques based on the statistical Extreme Value Theory Our method calibrates each raw score to a probability that the given attribute is present in the image We describe how these probabilities can be fused in a simple way to perform more accurate multiattribute searches, as well as enable attribute-based similarity searches A significant advantage of our approach is that the normalization is done after-the-fact, requiring neither modification to the attribute classification system nor ground truth attribute annotations We demonstrate results on a large data set of nearly 2 million face images and show significant improvements over prior work We also show that perceptual similarity of search results increases by using contextual attributes

Single vs. Multiple Sets of Resistance Exercise for Muscle Hypertrophy: A Meta-Analysis

Abstract: Previous meta-analyses have compared the effects of single to multiple sets on strength, but analyses on muscle hypertrophy are lacking. The purpose of this study was to use multilevel meta-regression to compare the effects of single and multiple sets per exercise on muscle hypertrophy. The analysis comprised 55 effect sizes (ESs), nested within 19 treatment groups and 8 studies. Multiple sets were associated with a larger ES than a single set (difference = 0.10 +/- 0.04; confidence interval [CI]: 0.02, 0.19; p = 0.016). In a dose-response model, there was a trend for 2-3 sets per exercise to be associated with a greater ES than 1 set (difference = 0.09 +/- 0.05; CI: -0.02, 0.20; p = 0.09), and a trend for 4-6 sets per exercise to be associated with a greater ES than 1 set (difference = 0.20 +/- 0.11; CI: -0.04, 0.43; p = 0.096). Both of these trends were significant when considering permutation test p values (p < 0.01). There was no significant difference between 2-3 sets per exercise and 4-6 sets per exercise (difference = 0.10 +/- 0.10; CI: -0.09, 0.30; p = 0.29). There was a tendency for increasing ESs for an increasing number of sets (0.24 for 1 set, 0.34 for 2-3 sets, and 0.44 for 4-6 sets). Sensitivity analysis revealed no highly influential studies that affected the magnitude of the observed differences, but one study did slightly influence the level of significance and CI width. No evidence of publication bias was observed. In conclusion, multiple sets are associated with 40% greater hypertrophy-related ESs than 1 set, in both trained and untrained subjects.

Coping Self‐Efficacy as a Mediator of Distress Following a Natural Disaster

Abstract: Social-cognitive theory and conservation-of-resources theory were utilized to understand individual differences in psychological response to natural disaster. Coping self-efficacy, lost resources, social support, and optimism were assessed along with demographic variables in predicting distress following Hurricane Opal. Participants included 67 residents of Okaloosa County, Florida. Multiple regression analyses indicated that coping self-efficacy was the strongest predictor of general distress and trauma-related distress. Loss of resources and gender were also important predictors of general distress. Path analyses demonstrated that lost resources directly influenced general distress, social support, optimism, and coping self-efficacy. These analyses also indicated that coping self-efficacy perceptions mediated the relationships between loss of resources and trauma-related distress, social support and both trauma and general distress, and optimism and both types of distress. Theoretical implications are discussed.