MusicSwarm: Biologically Inspired Intelligence for Music Composition
Biologically inspired swarms of frozen foundation models self‐organize to compose complex music without fine‐tuning. By coordinating through stigmergic signals, decentralized agents dynamically evolve specialized roles and adapt to solve complex tasks.
Markus J. Buehler
wiley +1 more source
Host Abundance Predicts Interactive Roles in Neotropical Bat–Bat Fly Interactions
We analyzed the influence of bat functional traits on their importance as hosts in bat–bat fly networks. Our results indicate that bat abundance is the main driver for host importance in Neotropical bat–bat fly interactions. ABSTRACT Host functional traits are known to shape host‐parasite interactions across multiple taxa.
Paulo Mejia +2 more
wiley +1 more source
Bayesian Poisson‐Lognormal Regression With Compositional Effect Shares for Multivariate Count Data
ABSTRACT Multivariate count data are central in community ecology and related fields, where interest lies in how environmental gradients and management actions jointly shape the abundances of many taxa. The Poisson‐lognormal (PLN) model is a natural workhorse in this setting, accommodating overdispersion and cross‐taxon dependence via a latent Gaussian
Abdolnasser Sadeghkhani
wiley +1 more source
ABSTRACT This paper develops a spatial formulation of the Jensen–Shannon divergence to measure multigroup compositional dissimilarity between each municipality and its surrounding context. Building on information theory, the index compares local group distributions with neighbourhood‐lagged compositions defined through two distance‐based systems: a ...
Massimo Mucciardi
wiley +1 more source
ABSTRACT Safe and reliable mobility over different kinds of ground is important for planetary rovers on space missions. Since terrain changes might affect the mobility of the rover, energy consumption, and safety, detecting the type of ground in real‐time is vital.
Md Masrul Khan +7 more
wiley +1 more source
A Tutorial on Bayesian Multi‐Study Factor Analysis With Applications in Nutrition and Genomics
ABSTRACT High‐dimensional data are crucial in biomedical research. Integrating such data from multiple studies is a critical process that relies on the choice of advanced statistical models, enhancing statistical power, reproducibility, and scientific insight compared to analyzing each study separately.
Mavis Liang +3 more
wiley +1 more source
A Decade of Airborne Electromagnetic Surveying Lake Menindee (Australia) Under Varying Water Levels
ABSTRACT Time domain airborne electromagnetic (AEM) surveying is a mature geophysical tool for imaging the Earth's shallow subsurface. It produces images of the electromagnetic conductivity structure of the earth, down to depths of a few hundred metres.
A. Ray +11 more
wiley +1 more source
Applying the maximum entropy principle to neural networks enhances multi‐species distribution models
Abstract The increasing volume of presence‐only (PO) data generated by citizen science initiatives has greatly expanded biodiversity databases, but the statistical use of these data in species distribution models (SDMs) remains limited by strong sampling biases and the absence of reliable absence information.
Maxime Ryckewaert +5 more
wiley +1 more source
Assessing novelty, feasibility and value of creative ideas with an unsupervised approach using GPT‐4
Abstract Creativity is defined by three key factors: novelty, feasibility and value. While many creativity tests focus primarily on novelty, they often neglect feasibility and value, thereby limiting their reflection of real‐world creativity. In this study, we employ GPT‐4, a large language model, to assess these three dimensions in a Japanese‐language
Felix B. Kern +2 more
wiley +1 more source
Kullback-Leibler Divergence Based Probabilistic Approach for Device-Free Localization Using Channel State Information. [PDF]
Gao R, Zhang J, Xiao W, Li Y.
europepmc +1 more source

