GSC 12 Session VIII cont'd: M5 Breakout group reports

SciVee ◽  
2012 ◽  
Keyword(s):  
Breakout Group ◽  
Session Viii

Session VIII

2016 ◽  
Vol 60 (Suppl) ◽  
pp. s32-s37
Keyword(s):  
Session Viii

scholarly journals Breakout Group Allocation Schedules and the Social Golfer Problem with Adjacent Group Sizes

Symmetry ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 13
Author(s):  
Alice Miller ◽  
Matthew Barr ◽  
William Kavanagh ◽  
Ivaylo Valkov ◽  
Helen C. Purchase
Keyword(s):  
Design Theory ◽  
Teaching Experience ◽  
Combinatorial Design ◽  
Breakout Group ◽  
Online Resource ◽  
The Social ◽  
Adjacent Group ◽  
Group Allocation ◽  
Novel Variation ◽  
The Ideal

The current pandemic has led schools and universities to turn to online meeting software solutions such as Zoom and Microsoft Teams. The teaching experience can be enhanced via the use of breakout rooms for small group interaction. Over the course of a class (or over several classes), the class will be allocated to breakout groups multiple times over several rounds. It is desirable to mix the groups as much as possible, the ideal being that no two students appear in the same group in more than one round. In this paper, we discuss how the problem of scheduling balanced allocations of students to sequential breakout rooms directly corresponds to a novel variation of a well-known problem in combinatorics (the social golfer problem), which we call the social golfer problem with adjacent group sizes. We explain how solutions to this problem can be obtained using constructions from combinatorial design theory and how they can be used to obtain good, balanced breakout room allocation schedules. We present our solutions for up to 50 students and introduce an online resource that educators can access to immediately generate suitable allocation schedules.

scholarly journals Breakout Group C: Challenges and solutions for enhanced paleoscience communication

PAGES news ◽  
2013 ◽  
Vol 21 (2) ◽  
pp. 95-95
Author(s):  
Heidi Roop ◽  
Elisabeth Dietze
Keyword(s):  
Breakout Group

Adaptation Strategies for Different Sectors in the WANA Region: Summary of Breakout Group Discussions

2013 ◽  
pp. 409-418
Author(s):  
Mannava V. K. Sivakumar ◽  
Faisal Awawdeh ◽  
Nasri Haddad ◽  
Ibrahim Hamdan ◽  
Mark Holderness ◽  
...  
Keyword(s):  
Adaptation Strategies ◽  
Group Discussions ◽  
Breakout Group

DISCUSSION ON SESSION VIII

1980 ◽  
pp. 1095-1102
Author(s):  
W.Z. Sadeh
Keyword(s):  
Session Viii

scholarly journals The Gut Microbiome and Xenobiotics: Identifying Knowledge Gaps

2020 ◽  
Vol 176 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Vicki L Sutherland ◽  
Charlene A McQueen ◽  
Donna Mendrick ◽  
Donna Gulezian ◽  
Carl Cerniglia ◽  
...  
Keyword(s):  
Human Health ◽  
Gut Microbiome ◽  
Critical Role ◽  
Drug Efficacy ◽  
Model Systems ◽  
Microbial Composition ◽  
Breakout Group ◽  
Data Gaps ◽  
Critical Issues ◽  
And Function

Abstract There is an increasing awareness that the gut microbiome plays a critical role in human health and disease, but mechanistic insights are often lacking. In June 2018, the Health and Environmental Sciences Institute (HESI) held a workshop, “The Gut Microbiome: Markers of Human Health, Drug Efficacy and Xenobiotic Toxicity” (https://hesiglobal.org/event/the-gut-microbiome-workshop) to identify data gaps in determining how gut microbiome alterations may affect human health. Speakers and stakeholders from academia, government, and industry addressed multiple topics including the current science on the gut microbiome, endogenous and exogenous metabolites, biomarkers, and model systems. The workshop presentations and breakout group discussions formed the basis for identifying data gaps and research needs. Two critical issues that emerged were defining the microbial composition and function related to health and developing standards for models, methods and analysis in order to increase the ability to compare and replicate studies. A series of key recommendations were formulated to focus efforts to further understand host-microbiome interactions and the consequences of exposure to xenobiotics as well as identifying biomarkers of microbiome-associated disease and toxicity.

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