As organizations become more complex and dynamic, individuals' ability to learn from experience becomes more important. Recently, the concept of learning agility has attracted considerable attention from human resource professionals and consultants interested in selecting on and developing employees' ability to learn from experience. However, the academic community has been largely absent from this discussion of learning agility, and the concept remains ill defined and poorly measured. This article presents a constructive critique of the existing literature on learning agility, seeks to clarify the definition and conceptualization of the construct, and situates learning agility within a broader nomological network of related constructs. We conclude by discussing several important directions for future research on learning agility.
as well as from helpful comments by Sharon Kim, Michael Pratt, and participants at the 2013 May Meaning Meeting. I am also grateful for generative conversations with Yemeng Lu-Myers, Marybeth Myers, Matthew Karlesky, Suntae Kim, and members of the University of Michigan Management and Organizations area, and I thank guest editor Gary Ballinger and three anonymous reviewers for an insightful, constructive review process.
Two types of El Niño events are distinguished by sea surface temperature (SST) anomalies centered in the central or eastern equatorial Pacific. The Central Pacific El Niño events (CP‐El Niño) are more highly correlated with weakening of the central Indian Summer Monsoon and linked to decadal Pacific climate variability. We present a 50 year, subannually resolved speleothem δ18O record from northeast India that exhibits a significant correlation with northern Pacific decadal variability and central equatorial Pacific SSTs. Accordingly, we suggest that δ18O time series in similar northeast Indian speleothems are effective tools for investigating preinstrumental changes in Pacific climate, including changes in El Niño dynamics. In contrast to central India, rainfall amounts in northeast India are relatively unaffected by El Niño. However, back trajectory analysis indicates that during CP‐El Niño events moisture transport distance to northeast India is reduced, suggesting that variations in moisture transport primarily control δ18O in the region.
Gene expression is orchestrated at the structural level by nucleosome positioning, histone tail acetylation, and linker histone (LH) binding. Here, we integrate available data on nucleosome positioning, nucleosome-free regions (NFRs), acetylation islands, and LH binding sites to "fold" in silico the 55-kb HOXC gene cluster and investigate the role of each feature on the gene's folding. The gene cluster spontaneously forms a dynamic connection hub, characterized by hierarchical loops which accommodate multiple contacts simultaneously and decrease the average distance between promoters by ∼100 nm. Contact probability matrices exhibit "stripes" near promoter regions, a feature associated with transcriptional regulation. Interestingly, while LH proteins alone decrease long-range contacts and acetylation alone increases transient contacts, combined LH and acetylation produce long-range contacts. Thus, our work emphasizes how chromatin architecture is coordinated strongly by epigenetic factors and opens the way for nucleosome resolution models incorporating epigenetic modifications to understand and predict gene activity.chromatin modeling | chromatin folding | gene structure | chromatin loop domains | contact hub
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