TESOL Quarterly, EarlyView.Abstract This article reports on a qualitative study of the way instructors and students understand and respond to traumatizing events in a Sri Lankan university. It shows how the attitudes and practices in the society at large are carried over to classrooms even though local institutions do not have a programmatic trauma‐informed pedagogy.
Suresh Canagarajah +1 more
wiley +1 more source
Deep reinforcement learning framework for joint optimization of multi-RAT UAV location and user association in heterogeneous networks. [PDF]
Sci RepAnany MG +3 more
europepmc +1 more source
Decision Making Under Uncertainty: A Z-Number Based Regret Principle
Ramiz Alekperov +2 more
openalex +2 more sources
Machine learning assisted masking of parasitic signals in Bragg coherent diffraction imaging
Journal of Synchrotron Radiation, EarlyView.Bragg coherent diffraction imaging measurement sometimes requires manual and time‐consuming cleaning of parasitic signals termed `aliens' from nearby particles that can affect the phase retrieval reconstruction. Here, we propose using a clustering technique to speed up this process while keeping the resolution of the reconstructed object high.
Ewen Bellec +5 more
wiley +1 more source
Feedback-induced attitudinal changes in risk preferences. [PDF]
Nat CommunNasioulas A +4 more
europepmc +1 more source
Achieving Logarithmic Regret in KL-Regularized Zero-Sum Markov Games [PDF]
Anupam Nayak +4 more
openalex +1 more source
New opportunities for grassland species in warming temperate winters
Functional Ecology, EarlyView.Read the free Plain Language Summary for this article on the Journal blog. Abstract Temperate winters are getting warmer, the length of the growing season is increasing and mid‐winter fluctuations of warm and freezing temperatures are more frequent. Although typically winter dormant, some herbaceous perennials can maintain or grow green leaves during ...
F. Curtis Lubbe +3 more
wiley +1 more source
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization
Hung Tran-The +3 more
openalex
Should you use data integration for your distribution model?
Journal of Animal Ecology, EarlyView.This paper explores cases where data integration (the joint modelling of two or more observational datasets) is useful for species distribution models, and also highlights cases where it's actually not useful. This provides the first concrete guidance for deciding whether or not data integration is worth your time.
Benjamin R. Goldstein +3 more
wiley +1 more source
Correction: Chemically-informed active learning enables data-efficient multi-objective optimization of self-healing polyurethanes. [PDF]
Chem SciLiang K, Qi X, Xiao X, Wang L, Zhang J.
europepmc +1 more source