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Students with mathematics-related learning difficulties (MLD) experience difficulties in many areas of mathematics achievement; without intervention, these difficulties will persist. In this chapter, I first review research examined cognitive processes deficits of MLD. Because difficulties in learning mathematics are presumably due to these cognitive deficits, findings of these studies can shed light on developing effective intervention programs. Second, using Response to Intervention (RTI) as a framework to distinguish the intensity level of intervention, I review findings from existing Tier 2 and Tier 3 intervention studies and synthesize the instructional approaches used in these studies as well as the factors researchers used to intensify the intervention. Finally, Data-Based Individualization (DBI), a systematic approach to intensify intervention, commonly used at the Tier 3 level, is review. Suggestions for future research directions for intensive mathematics intervention are also provided.

Purpose: Lesbian, gay, and bisexual (LGB) young adults smoke at rates much higher than the general population. Young adults, in general, are less likely to seek medical help for smoking cessation and LGB individuals are less likely to seek health care generally. Alternative methods to encourage smoking cessation are necessary. This research seeks to establish whether LGB young adults in California would be willing to use social media for smoking cessation.

Approach: We conducted 41 qualitative interviews among LGB young adults in the San Francisco Bay Area and Los Angeles in Fall 2014.

Findings: The results suggest that our participants were interested in a LGB-focused social media intervention, as long as the intervention was private or anonymous and moderated. Further, across topical areas our participants spoke extensively about the import of social connections. We may be able to leverage these connections to encourage cessation.

Research Limitations: This is a qualitative, non-generalizable dataset from a fairly limited geographic area.

Public Health Implications: Online smoking cessation interventions aimed at young adults would benefit from further testing with LGB young adults to ensure efficacy among this population. In addition, states and localities concerned about young adult LGB smoking might benefit from investing in an online socially mediated cessation forum. Online interventions could be scalable and might be useful for other groups who regularly face discrimination, stigma, or other stressors that make successful smoking cessation difficult.

This chapter complements the one that appeared as “History of the AIB Fellows: 1975–2008” in Volume 14 of this series (International Business Scholarship: AIB Fellows on the First 50 Years and Beyond, Jean J. Boddewyn, Editor). It traces what happened under the deanship of Alan Rugman (2011–2014) who took many initiatives reported here while his death in July 2014 generated trenchant, funny, and loving comments from more than half of the AIB Fellows. The lives and contributions of many other major international business scholars who passed away from 2008 to 2014 are also evoked here: Endel Kolde, Lee Nehrt, Howard Perlmutter, Stefan Robock, John Ryans, Vern Terpstra, and Daniel Van Den Bulcke.

Teams in extreme and disruptive contexts face unique challenges that can undermine coordination and decision-making. In this study, we evaluated how affective differences between team members and team process norms affected the team's decision-making effectiveness.

Teams were placed in a survival simulation where they evaluated how best to maximize the team's survival prospects given scarce resources. We incorporated multisource and multirater (i.e., team, observer, and archival) data to ascertain the impacts of affect asymmetry and team process norms on decision-making effectiveness.

Results suggest that teams with low positive affect asymmetry and low process norms generate the most effective decisions. The least effective team decision performance occurred in teams characterized by high variance in team positive affectivity (high positive affect asymmetry) and low process norms. We found no similar effect for teams with high process norms and no effect for negative affect asymmetry, however, irrespective of team process norms.

These findings support the affect infusion model and extend cognitive resource theory, by highlighting how affect infusion processes and situational constraints influence team decision-making in extreme and disruptive contexts.