Generation and influence of eccentric ideas on social networks.

Studying extreme ideas in routine choices and discussions is of utmost importance to understand the increasing polarization in society. In this study, we focus on understanding the generation and influence of extreme ideas in routine conversations which we label "eccentric" ideas. The eccentricity of any idea is defined as the deviation of that idea from the norm of the social neighborhood. We collected and analyzed data from two sources of different nature: public social media and online experiments in a controlled environment. We compared the popularity of ideas against their eccentricity to understand individuals' fascination towards eccentricity. We found that more eccentric ideas have a higher probability of getting a greater number of "likes". Additionally, we demonstrate that the social neighborhood of an individual conceals eccentricity changes in one's own opinions and facilitates generation of eccentric ideas at a collective level.

Utterance Clustering Using Stereo Audio Channels.

Utterance clustering is one of the actively researched topics in audio signal processing and machine learning. This study aims to improve the performance of utterance clustering by processing multichannel (stereo) audio signals. Processed audio signals were generated by combining left- and right-channel audio signals in a few different ways and then by extracting the embedded features (also called d-vectors) from those processed audio signals. This study applied the Gaussian mixture model for supervised utterance clustering. In the training phase, a parameter-sharing Gaussian mixture model was obtained to train the model for each speaker. In the testing phase, the speaker with the maximum likelihood was selected as the detected speaker. Results of experiments with real audio recordings of multiperson discussion sessions showed that the proposed method that used multichannel audio signals achieved significantly better performance than a conventional method with mono-audio signals in more complicated conditions.

How to Lead the Way Through Complexity, Constraint, and Uncertainty in Academic Health Science Centers.

Academic medicine is in an era of unprecedented and constant change due to fluctuating economies, globalization, emerging technologies, research, and professional and educational mandates. Consequently, academic health science centers (AHSCs) are facing new levels of complexity, constraint, and uncertainty. Currently, AHSC leaders work with competing academic and health service demands and are required to work with and are accountable to a diversity of stakeholders. Given the new challenges and emerging needs, the authors believe the leadership methods and approaches AHSCs have used in the past that led to successes will be insufficient. In this Article, the authors propose that AHSCs will require a unique combination of old and new leadership approaches specifically oriented to the unique complexity of the AHSC context. They initially describe the designer (or hierarchical) and heroic (military and transformational) approaches to leadership and how they have been applied in AHSCs. While these well-researched and traditional approaches have their strengths in certain contexts, the leadership field has recognized that they can also limit leaders' abilities to enable their organizations to be engaged, adaptable, and responsive. Consequently, some new approaches have emerged that are taking hold in academic work and professional practice. The authors highlight and explore some of these new approaches-the authentic, self, shared, and network approaches to leadership-with attention to their application in and utility for the AHSC context.

Attachment style and individual differences in leadership perceptions and emergence.

The authors examined whether individuals' approaches to relationships, expressed in terms of attachment styles, was related to how they viewed ideal leadership and to their degree of tendency to emerge as team leaders. Specifically, the authors hypothesized that attachment styles, or cognitive representations of orientation to others, would explain individual differences in leadership perceptions and emergence. Participants were 127 American students in college teams. The authors found that securely attached individuals (n = 81) perceived themselves as more effective team members than did insecurely attached individuals (n = 46) and that fellow team members saw securely attached team members as emerging team leaders significantly more often than they did insecurely attached team members.

Neutralizing substitutes for leadership theory: leadership effects and common-source bias.

The purpose of this research was to examine alternative models of substitutes for leadership theory given the general lack of empirical support for the moderating effects postulated by the theory. On this basis, the research posited that the effects of substitutes also could be conceptualized as mediated relations. The research examined moderated and mediated relations for several sets of leader behaviors and substitutes that have been examined in the literature. The research design sampled 49 organizations, with 940 subordinates rating 156 leaders. Results, although generally not supportive of the moderator or mediator hypotheses, essentially demonstrated that leadership matters. The findings also suggest that prior significant effects in substitutes literature may be merely a statistical artifact, resulting from common-source bias.