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Institution

University of Nebraska Omaha

EducationOmaha, Nebraska, United States
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.


Papers
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Journal ArticleDOI
TL;DR: The results supported the idea that, in addition to the volume of activity produced by an individual, patterns of ambulatory activity contain unique information that shows promise for offering insights into walking behavior associated with healthy aging.
Abstract: Background. The natural ambulatory activity patterns of older adults are not well understood. User-worn monitors illuminate patterns of ambulatory activity and generate data suitable for analysis using measures derived from nonlinear dynamics. Methods. Ambulatory activity data were collected continuously from 157 community-dwelling older adults for 2 weeks. Participants were separated post hoc into groups based on the mean number of steps per day: highly active (steps ≥ 10,000), moderately active (5,000 ≤ steps < 10,000 steps), and inactive (steps <5,000 steps). Detrended fl uctuation analysis (DFA), entropy rate (ER), and approximate entropy (ApEn) were used to examine the complexity of daily time series composed of 1-minute step count values. Coeffi cient of variation was used to examine time series variability. Between-group differences for each parameter were evaluated using analysis of variance. Results. All groups displayed patterns of fl uctuating step count values containing complex temporal structure. DFA, ER, and ApEn parameter values increased monotonically and signifi cantly with increasing activity level ( p < .001). The variability of step count fl uctuations did not differ among groups. Conclusions. Highly active participants had more complex patterns of ambulatory activity than less active participants. The results supported the idea that, in addition to the volume of activity produced by an individual, patterns of ambulatory activity contain unique information that shows promise for offering insights into walking behavior associated with healthy aging.

64 citations

Journal ArticleDOI
01 Jan 2003-EPL
TL;DR: In this paper, the electronic structure and band symmetries of the ferroelectric phase of poly (vinylidene fluoride) were studied by using the first-principles density-functional method.
Abstract: The electronic structure and band symmetries of the ferroelectric phase of poly (vinylidene fluoride) (PVDF) are studied by using the first-principles density-functional method. Our calculated results agree well with the angle-resolved photoemission experiments. We find that the PVDF crystal has an energy gap of about 6 eV at the Γ-point. Large dispersion of the valence band is found only along the chain direction, which is consistent with the quasi–one-dimensional nature of PVDF. In particular, the band symmetries of the valence states deduced theoretically are in good agreement with experiment. Finally, further investigations on the electronic structure of poly(trifluoroethylene) (PTrFE) reveal that the replacement of -(CH2-CF2)- by -(CHF-CF2)- does not change major features of the band structure.

64 citations

Journal ArticleDOI
TL;DR: Recent advances in understanding the abnormal neural oscillatory dynamics that underlie Parkinson's disease, autism spectrum disorders, human immunodeficiency virus (HIV)-associated neurocognitive disorders, cerebral palsy, attention-deficit hyperactivity disorder, cognitive aging, and post-traumatic stress disorder are covered.

64 citations

Journal ArticleDOI
TL;DR: The results showed that a nonlinear measure, the largest Lyapunov exponent, was the only parameter of postural sway that revealed significant differences between infants with typical versus delayed development.

64 citations


Authors

Showing all 4588 results

NameH-indexPapersCitations
Darell D. Bigner13081990558
Dan L. Longo12569756085
William B. Dobyns10543038956
Eamonn Martin Quigley10368539585
Howard E. Gendelman10156739460
Alexander V. Kabanov9944734519
Douglas T. Fearon9427835140
Dapeng Yu9474533613
John E. Wagner9448835586
Zbigniew K. Wszolek9357639943
Surinder K. Batra8756430653
Frank L. Graham8525539619
Jing Zhou8453337101
Manish Sharma82140733361
Peter F. Wright7725221498
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202323
2022108
2021585
2020537
2019492
2018421