Institution
University of Nebraska Omaha
Education•Omaha, 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 published on a yearly basis
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TL;DR: For example, the authors found that older adults with a high likelihood of being within 15 years of retirement reported more frequent thinking and talking about their plans to retire, and the consideration given to retirement was more frequent in circumstances that might orient workers toward the future.
Abstract: The scope of explanation for retirement behavior could be greatly enlarged by acknowledging workers’ extended engagement with the question before the event—its “givenness” in their future, and their course of action toward it. This study provides evidence for such extended involvement among workers aged 51 to 61 in the 1992 Health and Retirement Study (HRS) who saw themselves being within 15 years of retiring. To the extent that workers foresaw less time left at work, they reported more frequent thinking and talking about retirement. This pattern was quite general. The consideration given to retirement was, as expected, more frequent in circumstances that might orient workers toward the future. However, even absent these circumstances, subjective proximity still predicted the topicality of retirement. Widely held, albeit individual, timetables for retirement demonstrate its embeddedness in the subjective life course of older workers.
133 citations
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TL;DR: In this article, the authors examined whether job stress increases one's tendency to display uncivil behaviors and whether psychological capital moderates this relationship and found that psychological capital buffers the effect of job stress on incivility.
Abstract: Uncivil behaviors are costly to organizations due to their resulting decrease in health, performance, and attendance among employees. The purpose of the present study is to examine whether job stress increases one’s tendency to display uncivil behaviors and whether psychological capital moderates this relationship. A total of 390 working adults completed a questionnaire assessing the level of stress at their current job, their level of psychological capital, and the extent to which they display uncivil behaviors at work. Results indicated that psychological capital buffers the effect of job stress on incivility.
132 citations
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01 Dec 2010
TL;DR: A classifier-ensemble-based active learning framework that selectively labels instances from data streams to build a classifier ensemble is proposed and a minimum-variance (MV) principle is introduced to guide the instance labeling process for data streams.
Abstract: In this paper, we propose a new research problem on active learning from data streams, where data volumes grow continuously, and labeling all data is considered expensive and impractical. The objective is to label a small portion of stream data from which a model is derived to predict future instances as accurately as possible. To tackle the technical challenges raised by the dynamic nature of the stream data, i.e., increasing data volumes and evolving decision concepts, we propose a classifier-ensemble-based active learning framework that selectively labels instances from data streams to build a classifier ensemble. We argue that a classifier ensemble's variance directly corresponds to its error rate, and reducing a classifier ensemble's variance is equivalent to improving its prediction accuracy. Because of this, one should label instances toward the minimization of the variance of the underlying classifier ensemble. Accordingly, we introduce a minimum-variance (MV) principle to guide the instance labeling process for data streams. In addition, we derive an optimal-weight calculation method to determine the weight values for the classifier ensemble. The MV principle and the optimal weighting module are combined to build an active learning framework for data streams. Experimental results on synthetic and real-world data demonstrate the performance of the proposed work in comparison with other approaches.
132 citations
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TL;DR: Examining prosecutorial charging decisions across two unique jurisdictions reveals that, despite differences in departmental policies and rates of plea bargaining and trials, prosecutors’ charging decisions and the predictors of charging are similar in the two jurisdictions.
Abstract: Although the criminal justice system has undergone reform to eliminate sexual assault case attrition and to improve the overall treatment of sexual assault victims, few studies have examined the effect of these reforms. In this study, the authors examine prosecutorial charging decisions across two unique jurisdictions: Kansas City, Missouri, which utilizes a specialized unit for sexual assault cases, and Miami, Florida, which does not use a specialized unit to determine the effect of prosecutorial specialization on case outcomes. The findings of the study reveal that, despite differences in departmental policies and rates of plea bargaining and trials, prosecutors’ charging decisions and the predictors of charging are similar in the two jurisdictions. The authors conclude that, regardless of whether decisions are made in a specialized unit or not, victim credibility is a real “focal concern” of the prosecutor in sexual assault cases.
132 citations
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TL;DR: This study is the first to systematically investigate neural oscillatory responses in PD during distinct stages of motor control and indicates that these patients have significant difficulty suppressing cortical beta synchronization during movement planning, which may contribute to their diminished movement capacities.
Abstract: Parkinson’s disease (PD) is a neurodegenerative disorder associated with debilitating motor, posture, and gait abnormalities. Human studies recording local field potentials within the subthalamic nucleus and scalp-based electroencephalography have shown pathological beta synchronization throughout the cortical–basal ganglia motor network in PD. Suppression of such pathological beta synchronization has been associated with improved motor function, which may explain the effectiveness of deep-brain stimulation. We used magnetoencephalography (MEG) to investigate neural population-level beta responses, and other oscillatory activity, during a motor task in unmedicated patients with PD and a matched group of healthy adults. MEG is a noninvasive neurophysiological technique that permits the recording of oscillatory activity during movement planning, execution, and termination phases. Each of these phases was independently examined using beamforming to distinguish the brain areas and movement phases, where pathological oscillations exist during motor control. Patients with PD exhibited significantly diminished beta desynchronization compared with controls prior to and during movement, which paralleled reduced alpha desynchronization. This study is the first to systematically investigate neural oscillatory responses in PD during distinct stages of motor control (e.g. planning, execution, and termination) and indicates that these patients have significant difficulty suppressing cortical beta synchronization during movement planning, which may contribute to their diminished movement capacities.
132 citations
Authors
Showing all 4588 results
Name | H-index | Papers | Citations |
---|---|---|---|
Darell D. Bigner | 130 | 819 | 90558 |
Dan L. Longo | 125 | 697 | 56085 |
William B. Dobyns | 105 | 430 | 38956 |
Eamonn Martin Quigley | 103 | 685 | 39585 |
Howard E. Gendelman | 101 | 567 | 39460 |
Alexander V. Kabanov | 99 | 447 | 34519 |
Douglas T. Fearon | 94 | 278 | 35140 |
Dapeng Yu | 94 | 745 | 33613 |
John E. Wagner | 94 | 488 | 35586 |
Zbigniew K. Wszolek | 93 | 576 | 39943 |
Surinder K. Batra | 87 | 564 | 30653 |
Frank L. Graham | 85 | 255 | 39619 |
Jing Zhou | 84 | 533 | 37101 |
Manish Sharma | 82 | 1407 | 33361 |
Peter F. Wright | 77 | 252 | 21498 |