Results 61 to 70 of about 519,227 (204)
The law of AI knowledge distillation
American Business Law Journal, EarlyView.Abstract Knowledge distillation—the practice of training a compact student model on the outputs of a larger teacher model—has emerged as the fastest‐growing technique for replicating and disseminating frontier artificial intelligence (AI) capabilities.
Taorui Guan
wiley +1 more source
alan-turing-institute/netts: 0.3.0
, 2023 What's Changed Added analyze function by @carobellum Updated analyze.py by @carobellum Bugfix installation by @rkdan in https://github.com/alan-turing-institute/netts/pull/161 Removed redundant warning, update version number by @rkdan in https://github ...
Ryan Daniels +5 more
core +1 more source
Predator–prey pattern formation driven by population diffusion based on Moore neighborhood structure
Advances in Difference Equations, 2019 Diffusion-driven instability is a basic nonlinear mechanism for pattern formation. Therefore, the way of population diffusion may play a determinative role in the spatiotemporal dynamics of biological systems. In this research, we launch an investigation
Tousheng Huang +6 more
doaj +1 more source
Tropical Medicine &International Health, EarlyView.ABSTRACT Background Non‐communicable diseases (NCDs) are rising rapidly in Sub‐Saharan Africa. In Guinea‐Bissau, nationwide data are scarce. We aimed to estimate the multi‐regional prevalence of type 2 diabetes (T2D), obesity, and hypertension and examine associated risk factors within this resource‐limited context.
Lilica Sanca +8 more
wiley +1 more source
Nonlinear Analysis, 2022 In this paper, we extend a Leslie–Gower-type predator–prey system with ratio-dependent Holling III functional response considering the cost of antipredator defence due to fear.
Hongyu Chen, Chunrui Zhang
doaj +1 more source
Design Principles of Electrocatalysts for Industrial‐Scale Water Electrolysis
Advanced Energy Materials, Volume 16, Issue 36, 23 September 2026.This Review distills electrocatalyst design for industrial‐scale water electrolysis into integrated principles linking active‐site engineering, phase and lattice modulation, interfacial microenvironment regulation and mass‐transport control. By connecting catalyst families with HER/OER mechanisms and practical operating demands, it outlines pathways ...
Hong Tang, Ce Cui, John Wang
wiley +1 more source
Carbon Energy, Volume 8, Issue 9, September 2026.This study, for the first time, constructs photostructured dynamic frustrated Lewis pairs (DFLPs) via a p‐p orbital hybridization regulation strategy, achieving the 100% reduction of low‐concentration CO₂ to CO and breaking the stability‐activity trade‐off.
Xiao‐hong Wang +6 more
wiley +1 more source
alan-turing-institute/distinctipy: v1.2.0
, 2021 What's Changed Docs Development by @jack89roberts in https://github.com/alan-turing-institute/distinctipy/pull/12 Ensure all contants are floats by @Erotemic in https://github.com/alan-turing-institute/distinctipy/pull/11 Add ability to specify random ...
Jon Crall, Jack Roberts
core +1 more source
Influence of the Turing instability on the motion of domain boundaries
Physical Review E, 2020 Turing's theory of pattern formation has provided crucial insights into the behavior of various biological, geographical, and chemical systems over the last few decades. Existing studies have focused on moving-boundary Turing systems for which the motion of the boundary is prescribed by an external agent.
Isha Gupta +3 more
openaire +3 more sources
Turing-like instabilities from a limit cycle [PDF]
Physical Review E, 2015 The Turing instability is a paradigmatic route to pattern formation in reaction-diffusion systems. Following a diffusion-driven instability, homogeneous fixed points can become unstable when subject to external perturbation. As a consequence, the system evolves towards a stationary, nonhomogeneous attractor.
CHALLENGER, JOSEPH +2 more
openaire +3 more sources