Results 71 to 80 of about 115,920 (230)

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

open access: yesAdvanced Science, EarlyView.
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang   +5 more
wiley   +1 more source

Pattern formation in a diffusive intraguild predation model with nonlocal interaction effects

open access: yesAIP Advances, 2019
In this paper, we investigate the spatiotemporal pattern formation in a diffusive intraguild predation (IGP) model with a nonlocal interaction term in the growth of the shared resource, which extends previous studies of local reaction-diffusion IGP model.
Renji Han, Binxiang Dai, Yuming Chen
doaj   +1 more source

Drifting Pattern Domains in a Reaction-Diffusion System with Nonlocal Coupling

open access: yes, 2000
Drifting pattern domains (DPDs), moving localized patches of traveling waves embedded in a stationary (Turing) pattern background and vice versa, are observed in simulations of a reaction-diffusion model with nonlocal coupling.
Baer, Markus   +3 more
core   +1 more source

Conformal Reconfigurable Intelligent Surfaces: A Cylindrical Geometry Perspective

open access: yesAdvanced Electronic Materials, EarlyView.
Cylindrical reconfigurable intelligent surfaces are explored for low‐complexity beam steering using one‐bit meta‐atoms. A multi‐level modeling approach, including optimization‐based synthesis, demonstrates that even minimal hardware can support directive scattering.
Filippo Pepe   +4 more
wiley   +1 more source

Reaction diffusion processes on random and scale-free networks [PDF]

open access: yes, 2004
We study the discrete Gierer-Meinhardt model of reaction-diffusion on three different types of networks: regular, random and scale-free. The model dynamics lead to the formation of stationary Turing patterns in the steady state in certain parameter ...
De Wit A.   +4 more
core   +2 more sources

Interconnected Turing patterns in three dimensions [PDF]

open access: yesPhysical Review E, 2005
We study numerically the Turing pattern in three dimensions in a FitzHugh-Nagumo-type reaction-diffusion system. We have found that interconnected periodic domain structures such as a gyroid, Fddd, and perforated lamellar structures appear in three dimensions, which never exist in lower dimensions.
Shoji, H, Yamada, K, Ohta, T
openaire   +2 more sources

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Spatio-temporal dynamics induced by competing instabilities in two asymmetrically coupled nonlinear evolution equations [PDF]

open access: yes, 2014
Pattern formation often occurs in spatially extended physical, biological and chemical systems due to an instability of the homogeneous steady state.
A. Torcini   +5 more
core   +3 more sources

Artificial Intelligence for Bone: Theory, Methods, and Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan   +3 more
wiley   +1 more source

Cross-diffusion induced Turing and non-Turing patterns in Rosenzweig–MacArthur model

open access: yesLetters in Biomathematics, 2019
Pattern formation is widely studied in spatio-temporal prey– predator models with only self-diffusion terms. Models with cross-diffusion, besides self-diffusion, take care of the situation in which presence, absence, abundance or scarcity of one species ...
Nayana Mukherjee   +2 more
doaj   +1 more source

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