Abstract Research Summary We study an important, but largely overlooked, non‐market strategy used by firms in the enforcement stage of policy: “snitching,” that is, providing intelligence about potential violations of their rivals in an attempt to persuade regulators to fine them.
Benjamin Barber IV +2 more
wiley +1 more source
Clustering Performance Analysis Using Chaotic and Lévy Flight-Enhanced Black-Winged Kite Algorithms. [PDF]
Alabed T, Servi S.
europepmc +1 more source
Modelling Future Evolution of the Antarctic Ice Sheet With Explainable Machine Learning
The accelerating effects of climate change, particularly rising sea levels resulting from melting land ice, require accurate predictions of ice sheet dynamics. Traditional numerical models, such as the Parallel Ice Sheet Model (PISM), are widely used; however, they rely on simplifying assumptions and are computationally intensive, limiting their ...
Paula Maddigan +5 more
wiley +1 more source
Optimized multi scale graph neural network with attention mechanism for cooperative spectrum sensing in cognitive radio networks. [PDF]
Nandhini P, Vimalnath S.
europepmc +1 more source
Abstract Marine net primary production (NPP), defined as the difference between gross production and phytoplankton respiration, is often estimated using algorithms applied to remote sensing data. While assumptions are needed to extend surface satellite observations through depth, some NPP algorithms, like the Carbon‐based Productivity Model (CbPM ...
Nina Buzby +5 more
wiley +1 more source
Impact of Neuron Models on Spiking Neural Network Performance: A Complexity-based Classification Approach. [PDF]
Rudnicka Z, Szczepanski J, Pregowska A.
europepmc +1 more source
Computing consensus: Language ideological work in LLM‐assisted deliberative democracy
Abstract This article examines how the digital platform Polis and its experiments with large language models (LLMs) reconfigure democratic participation through a particular vision of consensus. Through analysis of media coverage of Polis and developers' public discussions of the platform, I argue that developers reframe consensus from a discursive ...
Janet E. Connor
wiley +1 more source
Epidemic Forecasting via Hybrid Deep Learning With Unified Visibility and Temporal Graphs Under Stochastic Noise Modelling. [PDF]
Ghafi AK +3 more
europepmc +1 more source
ABSTRACT Declining alcohol consumption both in New Zealand and globally has increased interest in no‐ and low‐alcohol (NOLO) wines; however, limited research has examined how alcohol level influences consumer responses. This study investigated how alcohol content (0%, 6%, and 13%) affected such responses for Pinot Gris, Sauvignon Blanc, and Merlot ...
Kylie Ng Pei Xuan +3 more
wiley +1 more source
Physical crowding truncates intrinsic Lévy-like motility into caste-specific movement regimes in social termites. [PDF]
Bai ZD +5 more
europepmc +1 more source

