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Institution

Wichita State University

EducationWichita, Kansas, United States
About: Wichita State University is a education organization based out in Wichita, Kansas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 4988 authors who have published 9563 publications receiving 253824 citations. The organization is also known as: WSU & Fairmount College.


Papers
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Journal ArticleDOI
TL;DR: A new approach, referred to as nested extreme response surface (NERS), that can efficiently tackle time dependency issue in time-variant reliability analysis and enable to solve such problem by easily integrating with advanced time-independent tools is presented.

95 citations

Journal ArticleDOI
TL;DR: Results show that an exercise training regimen did not improve the cardiovascular fitness of young adults with Down syndrome but did improve exercise endurance and work capacity.
Abstract: Effects of a rowing exercise regimen on cardiovascular fitness of young adults with Down syndrome were examined. Sixteen young males with trisomy 21 (mean age 21.3, mean IQ 38.8) were randomly assigned to either a control or exercise group. All participants performed pre- and posttraining graded exercise tests on a treadmill and rowing ergometer. The exercise group performed a 16-week rowing ergometry training regimen. Following training, no changes in cardiovascular fitness had occurred for this group. However, they reached significantly higher levels of work performance for both treadmill and rowing ergometer posttraining tests. Results show that an exercise training regimen did not improve the cardiovascular fitness of young adults with Down syndrome but did improve exercise endurance and work capacity.

95 citations

Journal ArticleDOI
TL;DR: In this article, the authors examined changes in the sex composition of fields and found no evidence that fields with declining relative salaries deter the entry of men, as would be predicted by the queuing the ory of Reskin and Roos.
Abstract: Using data on the number of men and women who received doctorates in all academic field from 1971 to 2002, the authors examine changes in the sex composition of fields. During thi period, the proportion of women who received doctorates increased dramatically from 14 per cent to 46 percent. Regression models with fixed effects indicate no evidence that fields with declining relative salaries deter the entry of men, as would be predicted by the queuing the ory of Reskin and Roos. Consistent with the devaluation perspective and Schelling's tipping model, above a certain percentage of women, men are deterred from entering fields by th fields' further feminization. However, the rank order of fields in the percentage of women changed only slightly over time, implying that, to a large extent, men and women continued to choose fields as before, even when many more women received doctorates. The finding

94 citations

Journal ArticleDOI
TL;DR: A fully portable, wireless, flexible scalp electronic system, incorporating a set of dry electrodes and a flexible membrane circuit, allowing for wireless, real-time, universal electroencephalography classification for an electric wheelchair, a motorized vehicle and a keyboard-less presentation.
Abstract: Variation in human brains creates difficulty in implementing electroencephalography into universal brain–machine interfaces. Conventional electroencephalography systems typically suffer from motion artefacts, extensive preparation time and bulky equipment, while existing electroencephalography classification methods require training on a per-subject or per-session basis. Here, we introduce a fully portable, wireless, flexible scalp electronic system, incorporating a set of dry electrodes and a flexible membrane circuit. Time-domain analysis using convolutional neural networks allows for accurate, real-time classification of steady-state visually evoked potentials in the occipital lobe. Compared to commercial systems, the flexible electronics show the improved performance in detection of evoked potentials due to significant reduction of noise and electromagnetic interference. The two-channel scalp electronic system achieves a high information transfer rate (122.1 ± 3.53 bits per minute) with six human subjects, allowing for wireless, real-time, universal electroencephalography classification for an electric wheelchair, a motorized vehicle and a keyboard-less presentation. Brain–machine interfaces using steady-state visually evoked potentials (SSVEPs) show promise in therapeutic applications. With a combination of innovations in flexible and soft electronics and in deep learning approaches to classify potentials from two channels and from any subject, a compact, wireless and universal SSVEP interface is designed. Subjects can operate a wheelchair in real time with eye movements while wearing the new brain–machine interface.

94 citations

Journal ArticleDOI
01 Dec 2011
TL;DR: An approach for providing important feedback information about weld quality in real-time to a control system for friction stir welding using the discrete Fourier transform and a multilayer neural network is demonstrated.
Abstract: This paper introduces a novel real-time approach to detecting wormhole defects in friction stir welding in a nondestructive manner. The approach is to evaluate feedback forces provided by the welding process using the discrete Fourier transform and a multilayer neural network. It is asserted here that the oscillations of the feedback forces are related to the dynamics of the plasticized material flow, so that the frequency spectra of the feedback forces can be used for detecting wormhole defects. A one-hidden-layer neural network trained with the backpropagation algorithm is used for classifying the frequency patterns of the feedback forces. The neural network is trained and optimized with a data set of forge-load control welds, and the generality is tested with novel data set of position control welds. Overall, about 95% classification accuracy is achieved with no bad welds classified as good. Accordingly, the present paper demonstrates an approach for providing important feedback information about weld quality in real-time to a control system for friction stir welding.

94 citations


Authors

Showing all 5021 results

NameH-indexPapersCitations
Herbert A. Simon157745194597
Rui Zhang1512625107917
Frederick Wolfe119417101272
Shunichi Fukuzumi111125652764
Robert Y. Moore9524535941
Maurizio Salaris7641720927
Annie K. Powell7348622020
Gunther Uhlmann7244419560
Danielle S. McNamara7053922142
Jonathan P. Hill6736719271
Francis D'Souza6647716662
Osamu Ito6554917035
Louis J. Guillette6433820263
Karl A. Gschneidner6467522712
Robert Reid5921512097
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202314
202259
2021331
2020351
2019325
2018327