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PLOS statement on recent US Executive Orders

February 27, 2025

PLOS statement on recent US Executive Orders

PLOS remains committed to open science: integrity, transparency, inclusivity, and collaboration. Read more on our blog.

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03/20/2025

Research Article

Memory signatures in path curvature of self-avoidant model particles are revealed by time delayed self-mutual information

The authors present a method for detecting “hallmarks of self-avoidant memory” from trajectory data for a synthetic environmentally responsive swimming droplet. Because these droplets swim fast relative to the speed at which diffusion erases their self-created chemical gradients, they avoid each other’s and their own past locations.

Image credit: Lucas K.

Memory signatures in path curvature of self-avoidant model particles are revealed by time delayed self-mutual information

02/18/2025

Research Article

Signal demixing using multi-delay multi-layer reservoir computing

Reservoir computing is a class of biologically-inspired machine learning models that can accurately predict these time series. A particularly challenging scenario occurs when trying to extract and predict individual signals in a mixture, where each has its own underlying deterministic and stochastic properties.

Image credit: Manuel (Unsplash)

Signal demixing using multi-delay multi-layer reservoir computing

02/18/2025

Research Article

Social induction dynamics of the causal social R0 on clinical weight loss: Randomized trial evidence of social propagation from Amman, Jordan

The authors offer evidence in support of the view that public health categories need rethinking; that more precise and granular ones are needed; and that “non-communicable” and “non-infectious” can be tautological misnomers. The scientific literature suggests an underlying socially “infectious” phenomenon.

Social induction dynamics of the causal social R0 on clinical weight loss: Randomized trial evidence of social propagation from Amman, Jordan

Image credit: CDC

02/03/2025

Research Article

Human languages trade off complexity against efficiency

The authors trained different language models, from simple statistical models to advanced neural networks, on a database of 41 multilingual text collections comprising a wide variety of text types. The trained models were then used to estimate entropy rates, a complexity measure derived from information theory. 

Human languages trade off complexity against efficiency

Image credit: Annie Spratt

02/03/2025

Research Article

Patterns of co-occurrent skills in UK job adverts

This study used a large data set of 65 million job adverts between 2016 and 2022 across the whole of the UK to examine the patterns of skills required together by employers. 

Patterns of co-occurrent skills in UK job adverts

Image credit: Liu et al

01/03/2025

Research Article

Urban scaling with censored data

Over the past two decades, urban scaling has become essential for understanding the rural-urban continuum by quantifying how urban characteristics depend on a city’s population size. 

Urban scaling with censored data

Image credit: John O'Nolan

01/03/2025

Research Article

Statistical complexity of heterogeneous geometric networks

Degree heterogeneity and latent geometry, also referred to as popularity and similarity, are key explanatory components underlying the structure of real-world networks. 

Statistical complexity of heterogeneous geometric networks

Image credit: K.M. Smith & J.P. Smith

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