More Like this

1. Adaptive Metrics for Adaptive Samples

   https://doi.org/10.3390/a13080200  

   Cavanna, Nicholas J.; Sheehy, Donald R. (August 2020, Algorithms)

   null (Ed.)

   We generalize the local-feature size definition of adaptive sampling used in surface reconstruction to relate it to an alternative metric on Euclidean space. In the new metric, adaptive samples become uniform samples, making it simpler both to give adaptive sampling versions of homological inference results and to prove topological guarantees using the critical points theory of distance functions. This ultimately leads to an algorithm for homology inference from samples whose spacing depends on their distance to a discrete representation of the complement space. 

   more » « less
2. Non-Adaptive Adaptive Sampling on Turnstile Streams

   https://doi.org/10.1145/3357713.3384331  

   Mahabadi, Sepideh; Razenshteyn, Ilya Razenshteyn; Woodruff, David P.; Zhou, Samson (January 2020, STOC)
3. Adaptive Assessment of Visualization Literacy

   https://doi.org/10.1109/TVCG.2023.3327165  

   Cui, Yuan; Ge, Lily W.; Ding, Yiren; Yang, Fumeng; Harrison, Lane; Kay, Matthew (January 2024, IEEE Transactions on Visualization and Computer Graphics)

   Visualization literacy is an essential skill for accurately interpreting data to inform critical decisions. Consequently, it is vital to understand the evolution of this ability and devise targeted interventions to enhance it, requiring concise and repeatable assessments of visualization literacy for individuals. However, current assessments, such as the Visualization Literacy Assessment Test ( vlat ), are time-consuming due to their fixed, lengthy format. To address this limitation, we develop two streamlined computerized adaptive tests ( cats ) for visualization literacy, a-vlat and a-calvi , which measure the same set of skills as their original versions in half the number of questions. Specifically, we (1) employ item response theory (IRT) and non-psychometric constraints to construct adaptive versions of the assessments, (2) finalize the configurations of adaptation through simulation, (3) refine the composition of test items of a-calvi via a qualitative study, and (4) demonstrate the test-retest reliability (ICC: 0.98 and 0.98) and convergent validity (correlation: 0.81 and 0.66) of both CATS via four online studies. We discuss practical recommendations for using our CATS and opportunities for further customization to leverage the full potential of adaptive assessments. All supplemental materials are available at https://osf.io/a6258/ . 

   more » « less
4. Adaptive Identification of SIS Models

   https://doi.org/10.1109/ICC61519.2023.10442466  

   Leung, Chi Ho; Retnaraj, William E; Hota, Ashish R; Parè, Philip E (December 2023, IEEE)
5. Population Genomics of Adaptive Radiation

   https://doi.org/10.1111/mec.17574  

   Combrink, Lucia_L; Golcher‐Benavides, Jimena; Lewanski, Alexander_L; Rick, Jessica_A; Rosenthal, William_C; Wagner, Catherine_E (December 2024, Molecular Ecology)

   ABSTRACT Adaptive radiations are rich laboratories for exploring, testing, and understanding key theories in evolution and ecology because they offer spectacular displays of speciation and ecological adaptation. Particular challenges to the study of adaptive radiation include high levels of species richness, rapid speciation, and gene flow between species. Over the last decade, high‐throughput sequencing technologies and access to population genomic data have lessened these challenges by enabling the analysis of samples from many individual organisms at whole‐genome scales. Here we review how population genomic data have facilitated our knowledge of adaptive radiation in five key areas: (1) phylogenetics, (2) hybridization, (3) timing and rates of diversification, (4) the genomic basis of trait evolution, and (5) the role of genome structure in divergence. We review current knowledge in each area, highlight outstanding questions, and focus on methods that facilitate detection of complex patterns in the divergence and demography of populations through time. It is clear that population genomic data are revolutionising the ability to reconstruct evolutionary history in rapidly diversifying clades. Additionally, studies are increasingly emphasising the central role of gene flow, re‐use of standing genetic variation during adaptation, and structural genomic elements as facilitators of the speciation process in adaptive radiations. We highlight hybridization—and the hypothesized processes by which it shapes diversification—and questions seeking to bridge the divide between microevolutionary and macroevolutionary processes as rich areas for future study. Overall, access to population genomic data has facilitated an exciting era in adaptive radiation research, with implications for deeper understanding of fundamental evolutionary processes across the tree of life. 

   more » « less