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Academic Journal
BIS

“Aggregating Automatically Extracted Regulatory Pathway Relations”

Automatic tools to extract information from biomedical texts are needed to help researchers leverage the vast and increasing body of biomedical literature. While several biomedical relation extraction systems have been created and tested, little work has been done to meaningfully organize the extracted relations. Organizational processes should consolidate multiple references to the same objects over various levels of granularity, connect those references to other resources, and capture contextual information. We propose a feature decomposition approach to relation aggregation to support a five-level aggregation framework. Our BioAggregate tagger uses this approach to identify key features in extracted relation name strings. We show encouraging feature assignment accuracy and report substantial consolidation in a network of extracted relations.
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100- 108 pages 2006 IEEE Transactions on Information Technology in Biomedicine Byron Marshall Hua Su Daniel McDonald Shauna Eggers Hsinchun Chen View on:

Academic Journal
Marketing

“Aha! I Knew that Voice Sounded Familiar!”: How Non-Identified Voiceover Endorsements Increase Ad Enjoyment via Moments of Insight”

Brands often use celebrities to narrate advertisements without explicitly featuring or identifying them. While such non-identified voice-over (NIVO) endorsements are common, little research has considered consumer responses to these advertisements. The present research demonstrates that when consumers recognize a NIVO endorser’s voice, the recognition process can spark a sudden moment of insight referred to as an Aha! experience. This insightful process enhances both viewers’ enjoyment of the advertisement and their evaluations of the promoted brand. These positive effects of NIVO endorser recognition are demonstrated not only compared to those who do not recognize the NIVO endorser’s voice, but also relative to consumers who view more traditional forms of advertising (non-endorsements and ads with explicitly identified endorsers). This research contributes to theory by demonstrating how brands can benefit from using NIVO endorsement strategies in their advertising and by highlighting a novel way brands can help consumers experience moments of insight.
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114495 pages 2024 Elsevier Matthew Hall Leslie Carlson Jim Gentry View on:

Exhibition
DSGN - Apparel Design

“Alice: Reimagining Suffragette Dress in the Modern Fight for Women’s Equality”

This design reimagines suffragette dress through a contemporary feminist lens, using upcycled bedsheets to symbolize unpaid labor while prioritizing size adjustability, sustainability, and historical continuity. Inspired by Alice Paul, the look merges aesthetic strategies of early 20th-century activism with modern design practices to advocate for gender equity today.
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2025 International Textile and Apparel Association Ruby Parks Bolanle Dahunsi Colleen Gelhaus Pokorny Marianne Dickson

Academic Journal
Management

“Am I Expected to Be Ethical? A Role-Definition Perspective of Ethical Leadership and Unethical Behavior”

Prior studies have demonstrated that leaders’ ethical behaviors have an impact on followers’ unethical behaviors and yet the explanatory mechanisms in this relationship have not been fully explored. To further explicate the relationship between ethical leadership and unethical employee behavior, we adopted a role-based perspective and introduced the concept of perceived ethical role breadth. That is, we explored the impact that leaders’ actions and voice behaviors have on in-role versus extra-role perceptions of employees as they relate to ethical behavior and the impact, in turn, on unethical behavior. In a field study involving 394 employees and 68 supervisors and a randomized experiment conducted with 121 working professionals we find that, as predicted, leaders’ behaviors and voice have a significant influence on perceived ethical role breadth and that these role breadth perceptions impact unethical behavior. Based on our empirical findings, we describe the implications, limitations, and future directions relevant to this study.
Details

2019 Sage Ted A Paterson Lei Huang View on:

Academic Journal
Business Analytics

“An ACP Approach to Public Health Emergency Management: Using a Campus Outbreak of H1N1 Influenza as a Case Study”

In order to tackle the infeasibility of building mathematical models and conducting physical experiments for public health emergencies in a real world, we apply the ACP (Artificial societies, Computational experiments, and Parallel execution) approach to public health emergency management. We conducted a case study on the largest collective outbreak of H1N1 influenza at a Chinese university in 2009. We built an artificial society to reproduce H1N1 influenza outbreaks. In computational experiments, aiming to obtain comparable results with the real data, we applied the same intervention strategy as that was used during the real outbreak. Then we compared experiment results with real data to verify our models, including spatial models, population distribution, weighted social networks, contact patterns, students’ behaviors, and models of H1N1 influenza disease, in the artificial society. We then applied alternative intervention strategies to the artificial society. The simulation results suggested that alternative strategies controlled the outbreak of H1N1 influenza more effectively. Our models and their application to intervention strategy improvement show that the ACP approach is useful for public health emergency management
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1028-1041 pages 2013 Wei Duan Zhidong Cao Youzhong Wang Bin Zhu Daniel Zeng Fei-Yue Wang Xiaogang Qiu Hongbin Song Yong Wang View on:

Academic Journal
Management

“An Assessment of the Magnitude of Effect Sizes: Evidence from 30 Years of Meta-Analysis in Management”

This study compiles information from more than 250 meta-analyses conducted over the past 30 years to assess the magnitude of reported effect sizes in the OB/HR literatures. Our analysis revealed an average uncorrected effect of r = .227 and an average corrected effect of ρ = .278 (SDρ = .140). Based upon the distribution of effect sizes we report, Cohen’s effect size benchmarks are not appropriate for use in OB/HR research as they over-estimate the actual breakpoints between small, medium, and large effects. We also assessed the average statistical power reported in meta-analytic conclusions and found substantial evidence that the majority of primary studies in the management literature are statistically underpowered. Finally, we investigated the impact of the file drawer problem in meta-analyses and our findings indicate that the file drawer problem is not a significant concern for meta-analysts. We conclude by discussing various implications of this study for OB/HR researchers.
Details

2016 Ted A Paterson P Harms Piers Steel Marcus Credé View on:

Academic Journal
BIS

“An Efficient Heuristic for Solving an Extended Capacitated Concentrator Location Problem”

In this paper, a mathematical model and a solution algorithm are developed for solving an extended capacitated concentrator location problem. Our model extends the conventional formulation by simultaneously addressing the two capacity constraints, total connection ports and maximum data processing rate, on each concentrator to be selected for satisfying the communication demands of the given end-user nodes. Since the problem is NP-complete, an efficient and effective Lagrangian heuristic is developed and tested by solving 100 randomly generated test problems with sizes ranging from 30(nodes)×30(concentrators) to150×30. Altogether 58% of the tested problems are solved optimally with an average solution gap 0.36% from the optimality and average solution times are from a few seconds to one half of a minute.
Details

171-199 pages 2003 Telecommunication Systems Venkataramani Raja Bernard Han View on: