NobleBlocks

Southern Illinois University Edwardsville

UniversityEdwardsville, Illinois, United States

Research output, citation impact, and the most-cited recent papers from Southern Illinois University Edwardsville (United States). Aggregated across the NobleBlocks index of 300M+ scholarly works.

Total works
10.7K
Citations
249.4K
h-index
166
i10-index
5.0K
Also known as
Southern Illinois University Edwardsville

Top-cited papers from Southern Illinois University Edwardsville

Stability of Time-Delay Systems
Keqin Gu, Vladimir L. Kharitonov, Jie Chen
2003· Birkhäuser Boston eBooks5.5Kdoi:10.1007/978-1-4612-0039-0

This monograph is a self-contained, coherent presentation of the background and progress of the stability of time-delay systems. Focusing on techniques, tools, and advances in numerical methods and op

The Generality of Working Memory Capacity: A Latent-Variable Approach to Verbal and Visuospatial Memory Span and Reasoning.
Michael J. Kane, David Z. Hambrick, Stephen W. Tuholski, Oliver Wilhelm +2 more
2004· Journal of Experimental Psychology General1.7Kdoi:10.1037/0096-3445.133.2.189

A latent-variable study examined whether verbal and visuospatial working memory (WM) capacity measures reflect a primarily domain-general construct by testing 236 participants in 3 span tests each of verbal WM. visuospatial WM, verbal short-term memory (STM), and visuospatial STM. as well as in tests of verbal and spatial reasoning and general fluid intelligence (Gf). Confirmatory' factor analyses and structural equation models indicated that the WM tasks largely reflected a domain-general factor, whereas STM tasks, based on the same stimuli as the WM tasks, were much more domain specific. The WM construct was a strong predictor of Gf and a weaker predictor of domain-specific reasoning, and the reverse was true for the STM construct. The findings support a domain-general view of WM capacity, in which executive-attention processes drive the broad predictive utility of WM span measures, and domain-specific storage and rehearsal processes relate more strongly to domain-specific aspects of complex cognition.

Measuring stigma in people with HIV: Psychometric assessment of the HIV stigma scale¶
Barbara Berger, Carol Estwing Ferrans, Felissa R. Lashley
2001· Research in Nursing & Health1.6Kdoi:10.1002/nur.10011

An instrument to measure the stigma perceived by people with HIV was developed based on the literature on stigma and psychosocial aspects of having HIV. Items surviving two rounds of content review were assembled in a booklet and distributed through HIV-related organizations across the United States. Psychometric analysis was performed on 318 questionnaires returned by people with HIV (19% women, 21% African American, 8% Hispanic). Four factors emerged from exploratory factor analysis: personalized stigma, disclosure concerns, negative self-image, and concern with public attitudes toward people with HIV. Extraction of one higher-order factor provided evidence of a single overall construct. Construct validity also was supported by relationships with related constructs: self-esteem, depression, social support, and social conflict. Coefficient alphas between .90 and .93 for the subscales and .96 for the 40-item instrument provided evidence of internal consistency reliability. The HIV Stigma Scale was reliable and valid with a large, diverse sample of people with HIV.

An integral inequality in the stability problem of time-delay systems
Keqin Gu
20021.5Kdoi:10.1109/cdc.2000.914233

An integral inequality is derived, and applied to the stability problem of time-delay systems using discretized Lyapunov functional formulation. As the result, a simpler stability criterion is derived.

Virtual teams
Anne Powell, Gabriele Piccoli, Blake Ives
2004· ACM SIGMIS Database the DATABASE for Advances in Information Systems1.3Kdoi:10.1145/968464.968467

Information technology is providing the infrastructure necessary to support the development of new organizational forms. Virtual teams represent one such organizational form, one that could revolutionize the workplace and provide organizations with unprecedented levels of flexibility and responsiveness. As the technological infrastructure necessary to support virtual teams is now readily available, further research on the range of issues surrounding virtual teams is required if we are to learn how to manage them effectively. While the findings of team research in the traditional environment may provide useful pointers, the idiosyncratic structural and contextual issues surrounding virtual teams call for specific research attention.This article provides a review of previously published work and reports on the findings from early virtual team research in an effort to take stock of the current state of the art. The review is organized around the input - process - output model and categorizes the literature into issues pertaining to inputs, socio-emotional processes, task processes, and outputs. Building on this review we critically evaluate virtual team research and develop research questions that can guide future inquiry in this fertile are of inquiry.

Individual Differences in Working Memory Capacity and What They Tell Us About Controlled Attention, General Fluid Intelligence, and Functions of the Prefrontal Cortex
Randall W Engle, Michael J. Kane, Stephen W. Tuholski
1999· Cambridge University Press eBooks1.2Kdoi:10.1017/cbo9781139174909.007

Working memory is a system consisting of those long-term memory traces active above threshold, the procedures and skills necessary to achieve and maintain that activation, and limited-capacity, controlled attention. The specific features of our model include:

A Multivariate Exponentially Weighted Moving Average Control Chart
Cynthia A. Lowry, William H. Woodall, Charles W. Champ, Steven E. Rigdon
1992· Technometrics1.2Kdoi:10.2307/1269551

A multivariate extension of the exponentially weighted moving average (EWMA) control chart is presented, and guidelines given for designing this easy-to-implement multivariate procedure. A comparison shows that the average run length (ARL) performance of this chart is similar to that of multivariate cumulative sum (CUSUM) control charts in detecting a shift in the mean vector of a multivariate normal distribution. As with the Hotelling's χ2 and multivariate CUSUM charts, the ARL performance of the multivariate EWMA chart depends on the underlying mean vector and covariance matrix only through the value of the noncentrality parameter. Worst-case scenarios show that Hotelling's χ2 charts should always be used in conjunction with multivariate CUSUM and EWMA charts to avoid potential inertia problems. Examples are given to illustrate the use of the proposed procedure.

The Bayesian information criterion: background, derivation, and applications
Andrew A. Neath, Joseph E. Cavanaugh
2011· Wiley Interdisciplinary Reviews Computational Statistics1.0Kdoi:10.1002/wics.199

Abstract The Bayesian information criterion (BIC) is one of the most widely known and pervasively used tools in statistical model selection. Its popularity is derived from its computational simplicity and effective performance in many modeling frameworks, including Bayesian applications where prior distributions may be elusive. The criterion was derived by Schwarz ( Ann Stat 1978, 6:461–464) to serve as an asymptotic approximation to a transformation of the Bayesian posterior probability of a candidate model. This article reviews the conceptual and theoretical foundations for BIC, and also discusses its properties and applications. WIREs Comput Stat 2012, 4:199–203. doi: 10.1002/wics.199 This article is categorized under: Statistical and Graphical Methods of Data Analysis > Bayesian Methods and Theory Statistical and Graphical Methods of Data Analysis > Information Theoretic Methods Statistical Learning and Exploratory Methods of the Data Sciences > Modeling Methods

Testing Statistical Hypotheses
Andrew A. Neath
2006· Journal of the American Statistical Association954doi:10.1198/jasa.2006.s100

"Testing Statistical Hypotheses." Journal of the American Statistical Association, 101(474), pp. 847–848

One Road to Turnover: An Examination of Work Exhaustion in Technology Professionals1
Jo Ellen Moore
2000· MIS Quarterly930doi:10.2307/3250982

The concept of work exhaustion (or job burnout) from the management and psychology research literature is examined in the context of technology professionals. Data were collected from 270 IT professionals and managers in various industries across the United States. Through structural equation modeling, work exhaustion was shown to partially mediate the effects of workplace factors on turnover intention. In addition, the results of the study revealed that: (1) technology professionals experiencing higher levels of exhaustion reported higher intentions to leave the job and, (2) of the variables expected to influence exhaustion (work overload, role ambiguity and conflict, lack of autonomy and lack of rewards), work overload was the strongest contributor to exhaustion in the technology workers. Moreover, exhausted IT professionals identified insufficient staff and resources as a primary cause of work overload and exhaustion. Implications for practice and future research are discussed.

The Akaike information criterion: Background, derivation, properties, application, interpretation, and refinements
Joseph E. Cavanaugh, Andrew A. Neath
2019· Wiley Interdisciplinary Reviews Computational Statistics908doi:10.1002/wics.1460

The Akaike information criterion (AIC) is one of the most ubiquitous tools in statistical modeling. The first model selection criterion to gain widespread acceptance, AIC was introduced in 1973 by Hirotugu Akaike as an extension to the maximum likelihood principle. Maximum likelihood is conventionally applied to estimate the parameters of a model once the structure and dimension of the model have been formulated. Akaike's seminal idea was to combine into a single procedure the process of estimation with structural and dimensional determination. This article reviews the conceptual and theoretical foundations for AIC, discusses its properties and its predictive interpretation, and provides a synopsis of important practical issues pertinent to its application. Comparisons and delineations are drawn between AIC and its primary competitor, the Bayesian information criterion (BIC). In addition, the article covers refinements of AIC for settings where the asymptotic conditions and model specification assumptions that underlie the justification of AIC may be violated. This article is categorized under: Software for Computational Statistics > Artificial Intelligence and Expert Systems Statistical Models > Model Selection Statistical and Graphical Methods of Data Analysis > Modeling Methods and Algorithms Statistical and Graphical Methods of Data Analysis > Information Theoretic Methods

ecancermedicalscience
Gauthier Bouche, Nicolás André, Shripad Banavali, Frank Berthold +4 more
2016· ecancermedicalscience679doi:10.3332/ecancer.2014.463

The Fourth Metronomic and Anti-angiogenic Therapy Meeting was held in Milan 24-25 June 2014. The meeting was a true translational meeting where researchers and clinicians shared their results, experiences, and insights in order to continue gathering useful evidence on metronomic approaches. Several speakers emphasised that exact mechanisms of action, best timing, and optimal dosage are still not well understood and that the field would learn a lot from ancillary studies performed during the clinical trials of metronomic chemotherapies. From the pre-clinical side, new research findings indicate additional possible mechanisms of actions of metronomic schedule on the immune and blood vessel compartments of the tumour micro-environment. New clinical results of metronomic chemotherapy were presented in particular in paediatric cancers [especially neuroblastoma and central nervous system (CNS) tumours], in angiosarcoma (together with beta-blockers), in hepatocellular carcinoma, in prostate cancer, and in breast cancer. The use of repurposed drugs such as metformin, celecoxib, or valproic acid in the metronomic regimen was reported and highlighted the potential of other candidate drugs to be repurposed. The clinical experiences from low- and middle-income countries with affordable regimens gave very encouraging results which will allow more patients to be effectively treated in economies where new drugs are not accessible. Looking at the impact of metronomic approaches that have been shown to be effective, it was admitted that those approaches were rarely used in clinical practice, in part because of the absence of commercial interest for companies. However, performing well-designed clinical trials of metronomic and repurposing approaches demonstrating substantial improvement, especially in populations with the greatest unmet needs, may be an easier solution than addressing the financial issue. Metronomics should always be seen as a chance to come up with new innovative affordable approaches and not as a cheap rescue strategy.

The New Disability History: American Perspectives
James W. Trent, Paul K. Longmore, Lauri Umansky
2002· Journal of American History669doi:10.2307/2700798

Journal Article The New Disability History: American Perspectives. Ed. by Paul K. Longmore and Lauri Umansky. (New York: New York University Press, 2001. vi, 416 pp. Cloth, $65.00, ISBN 0-8147-8563-8. Paper, $23.95, ISBN 0-8147-8564-6.) Get access James W. Trent James W. Trent Southern Illinois University Edwardsville, Illinois Search for other works by this author on: Oxford Academic Google Scholar Journal of American History, Volume 89, Issue 1, June 2002, Pages 194–195, https://doi.org/10.2307/2700798 Published: 01 June 2002

Stability and Stabilization of Systems with Time Delay
Rifat Sipahi, Silviu‐Iulian Niculescu, Chaouki T. Abdallah, Wim Michiels +1 more
2011· IEEE Control Systems646doi:10.1109/mcs.2010.939135

Time-delays are important components of many dynamical systems that describe coupling or interconnection between dynamics, propagation, or transport phenomena in shared environments, in heredity, and in competition in population dynamics. This monograph addresses the problem of stability analysis and the stabilisation of dynamical systems subjected to time-delays. It presents a wide and self-contained panorama of analytical methods and computational algorithms using a unified eigenvalue-based approach illustrated by examples and applications in electrical and mechanical engineering, biology, and complex network analysis.

ON THE INTERCHANGEABILITY OF OBJECTIVE AND SUBJECTIVE MEASURES OF EMPLOYEE PERFORMANCE: A META‐ANALYSIS
William H. Bommer, Jonathan L. Johnson, Gregory A. Rich, Philip M. Podsakoff +1 more
1995· Personnel Psychology626doi:10.1111/j.1744-6570.1995.tb01772.x

A meta‐analysis of studies containing both objective and subjective ratings of employee performance resulted in a corrected mean correlation of .389. This value, although significantly greater than zero, indicates that objective and subjective performance measures should not be used interchangeably. Moreover, in no moderator subgroup examined did the correlation suggest convergent validity. After discussing issues related to resolving the previous anomalies of primary and meta‐analytic results, a secondary analysis suggested that objective and subjective measures of the same construct at the same level may be used inter‐changeably. The secondary analysis, however, was based on a very limited sample. Future research should address the appropriate dimensionality of employee performance.

Survey on Recent Results in the Stability and Control of Time-Delay Systems*
Keqin Gu, Silviu‐Iulian Niculescu
2003· Journal of Dynamic Systems Measurement and Control618doi:10.1115/1.1569950

This paper gives a broad overview of the stability and control of time-delay systems. Emphasis is on the more recent progress and engineering applications. Examples of practical problems, mathematical descriptions, stability and performance analysis, and feedback control are discussed.

Cystic Fibrosis Pulmonary Guidelines
Peter J. Mogayzel, Edward T. Naureckas, Karen A. Robinson, Gary A. Mueller +4 more
2013· American Journal of Respiratory and Critical Care Medicine612doi:10.1164/rccm.201207-1160oe

Abstract Rationale: Cystic fibrosis (CF) is an autosomal recessive disease characterized by abnormal airways secretions, chronic endobronchial infection, and progressive airway obstruction. The use of medications to slow the progression of lung disease has led to significant improvement in survival. An evidence review of chronic medications for CF lung disease was performed in 2007 to provide guidance to clinicians in evaluating and selecting appropriate treatment for individuals with this disease. We have undertaken a new review of the literature to update the recommendations, including consideration of new medications and additional evidence on previously reviewed therapies. A multidisciplinary committee of experts in CF pulmonary care was established to review the evidence for use of chronic medications for CF lung disease and make treatment recommendations. Published evidence for chronic lung therapies was systematically reviewed and resulting treatment recommendations were graded based on the United States Preventive Services Task Force scheme. These guidelines provide up-to-date evidence of safety and efficacy of chronic treatments of CF lung disease, including the use of novel therapies that have not previously been included in CF pulmonary guidelines.

Rumors of the death of emotional intelligence in organizational behavior are vastly exaggerated
Neal M. Ashkanasy, Catherine S. Daus
2005· Journal of Organizational Behavior598doi:10.1002/job.320

Abstract In the first of two articles presenting the case for emotional intelligence in a point/counterpoint exchange, we present a brief summary of research in the field, and rebut arguments against the construct presented in this issue. We identify three streams of research: (1) a four‐branch abilities test based on the model of emotional intelligence defined in Mayer and Salovey (1997); (2) self‐report instruments based on the Mayer–Salovey model; and (3) commercially available tests that go beyond the Mayer–Salovey definition. In response to the criticisms of the construct, we argue that the protagonists have not distinguished adequately between the streams, and have inappropriately characterized emotional intelligence as a variant of social intelligence. More significantly, two of the critical authors assert incorrectly that emotional intelligence research is driven by a utopian political agenda, rather than scientific interest. We argue, on the contrary, that emotional intelligence research is grounded in recent scientific advances in the study of emotion; specifically regarding the role emotion plays in organizational behavior. We conclude that emotional intelligence is attracting deserved continuing research interest as an individual difference variable in organizational behavior related to the way members perceive, understand, and manage their emotions. Copyright © 2005 John Wiley & Sons, Ltd.

Transmedia Storytelling: Implicit Consumers, Narrative Worlds, and Branding in Contemporary Media Production
Carlos Alberto Scolari
2009· RIUVic571

Many concepts have been developed to describe the convergence of media, languages, and formats in contemporary media systems. This article is a theoretical reflection on “transmedia storytelling” from a perspective that integrates semiotics and narratology in the context of media studies. After dealing with the conceptual chaos around transmedia storytelling, the article analyzes how these new multimodal narrative structures create different implicit consumers and construct a narrative world. The analysis includes a description of the multimedia textual structure created around the Fox television series 24. Finally, the article analyzes transmedia storytelling from the perspective of a semiotics of branding.

The evolving theory of quality management: The role of Six Sigma
Xingxing Zu, Lawrence D. Fredendall, Thomas J. Douglas
2008· Journal of Operations Management562doi:10.1016/j.jom.2008.02.001

Abstract While Six Sigma is increasingly implemented in industry, little academic research has been done on Six Sigma and its influence on quality management theory and application. There is a criticism that Six Sigma simply puts traditional quality management practices in a new package. To investigate this issue and the role of Six Sigma in quality management, this study reviewed both the traditional quality management and Six Sigma literatures and identified three new practices that are critical for implementing Six Sigma's concept and method in an organization. These practices are referred to as: Six Sigma role structure, Six Sigma structured improvement procedure, and Six Sigma focus on metrics. A research model and survey instrument were developed to investigate how these Six Sigma practices integrate with seven traditional quality management practices to affect quality performance and business performance. Test results based on a sample of 226 US manufacturing plants revealed that the three Six Sigma practices are distinct practices from traditional quality management practices, and that they complement the traditional quality management practices in improving performance. The implications of the findings for researchers and practitioners are discussed and further research directions are offered.