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Rethinking the Human: Artificial Intelligence, Dystopia, and Dismantling Power Structures
https://ift.tt/yYsT6XV
updated: Wednesday, June 25, 2025 - 10:53amfull name / name of organization: Ruma Sinha/Rider…
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The Superclouds of the Local Milky Way
Lilly A. Kormann, Jo\~ao Alves, Juan D. Soler, Michelangelo Pantaleoni Gonz\'alez, Cameren Swiggum, Torsten A. En{\ss}lin, Gordian Edenhofer
https://arxiv.org/abs/2507.14883

The Superclouds of the Local Milky Way
Recent 3D dust maps of the local Milky Way are revolutionizing our understanding of the Sun's Galactic neighborhood, bringing much-needed insight into the large-scale organization of the interstellar medium. Focusing on the largest scales in $\textit{Gaia}$-based 3D dust maps, we find a pattern of seven highly elongated, mostly parallel structures in the local $5\,\mathrm{kpc}^2$, five of which were previously unknown. These structures show pitch angles of $33.5 \pm 4.0 ^\circ$, and masses rang…

Label free sub-diffraction imaging using non-linear photon avalanche backlight
Suresh Karmegam, Marcin Szalkowski, Malgorzata Misiak, Katarzyna Prorok, Damian Szyma\'nski, Artur Bednarkiewicz
https://arxiv.org/abs/2507.14667

Label free sub-diffraction imaging using non-linear photon avalanche backlight
Optical imaging below the limit of light diffraction offers an unprecedented opportunity to study outlook, organization, interactions or in-situ functioning of sub-micrometer, highly transparent objects such as subcellular structures in vitro, thin layers or nano-engineered devices. However, most of current methodologies require to use specially designed luminescent labels, which not only may affect the properties of the sample itself, but often are (photo)toxic, susceptible to photobleaching, …

Life Finds A Way: Emergence of Cooperative Structures in Adaptive Threshold Networks
Sean P. Maley, Carlos Gershenson, Stuart A. Kauffman
https://arxiv.org/abs/2507.13253 https:…

Life Finds A Way: Emergence of Cooperative Structures in Adaptive Threshold Networks
There has been a long debate on how new levels of organization have evolved. It might seem unlikely, as cooperation must prevail over competition. One well-studied example is the emergence of autocatalytic sets, which seem to be a prerequisite for the evolution of life. Using a simple model, we investigate how varying bias toward cooperation versus antagonism shapes network dynamics, revealing that higher-order organization emerges even amid pervasive antagonistic interactions. In general, we o…

Learning the Analytic Geometry of Transformations to Achieve Efficient Computation
Pei-Chun Su, Ronald R. Coifman
https://arxiv.org/abs/2506.11990 https://…

Learning the Analytic Geometry of Transformations to Achieve Efficient Computation
We propose a novel framework for fast integral operations by uncovering hidden geometries in the row and column structures of the underlying operators. This is accomplished through an iterative procedure that constructs adaptive hierarchical partition trees, revealing latent multiscale organization and exposing local low-rank structures within the data. Guided by this geometry, we employ two complementary techniques: (1) the \emph{butterfly algorithm}, which exploits the learned hierarchical lo…

Continuous-time multifarious systems -- Part II: non-reciprocal multifarious self-organization
Jakob Metson, Saeed Osat, Ramin Golestanian
https://arxiv.org/abs/2506.07649

Continuous-time multifarious systems -- Part II: non-reciprocal multifarious self-organization
In the context of self-assembly, where complex structures can be assembled from smaller units, it is desirable to devise strategies towards disassembly and reassembly processes that reuse the constituent parts. A non-reciprocal multifarious self-organization strategy has been recently introduced, and shown to have the capacity to exhibit this complex property. In this work, we study the model using continuous-time Gillespie simulations, and compare the results against discrete-time Monte Carlo …

Higher-Order Network Representation of J. S. Bach's Solo Violin Sonatas and Partitas: Topological and Geometrical Explorations
Dima Mrad, Sara Najem
https://arxiv.org/abs/2506.08540

Higher-Order Network Representation of J. S. Bach's Solo Violin Sonatas and Partitas: Topological and Geometrical Explorations
Music is inherently complex, with structures and interactions that unfold across multiple layers. Complex networks have emerged as powerful structures for the quantitative analysis of Western classical music, revealing significant features of its harmonic and structural organization. Although notable works have used these approaches to study music, dyadic representations of interactions fall short in conveying the underlying complexity and depth. In recent years, the limitations of traditional …

Self-organization of earth's inner magnetospheric multi-ion plasma
Usman Shazad, M. Iqbal
https://arxiv.org/abs/2507.00734 https://

Self-organization of earth's inner magnetospheric multi-ion plasma
The self-organization of a magnetized multi-ion plasma, composed of inertialess electrons and inertial H+, He+, and O+ ions, leads to the formation of quadruple Beltrami (QB) field structures. The QB self-organized state is a linear combination of four single Beltrami fields, and it is a non-force-free state that shows strong magnetofluid coupling. Moreover, the QB state is characterized by four relaxed state structures of different length scales. The investigation reveals that the generalized …

Warming from cold pools: A pathway for mesoscale organization to alter Earth's radiation budget
Pouriya Alinaghi, Martin Janssens, Fredrik Jansson
https://arxiv.org/abs/2506.01750

Warming from cold pools: A pathway for mesoscale organization to alter Earth's radiation budget
Marine shallow cumulus clouds have long caused large uncertainty in climate projections. These clouds frequently organize into mesoscale (10-500 km) structures, through two processes that couple the clouds to shallow mesoscale circulations: (i) mesoscale moisture aggregation, and (ii) cold pools, driven locally from rain-evaporation. Since global climate models do not capture these mesoscale processes, while the degree of mesoscale organization is observed to correlate to shortwave cooling, it …

Biologically Inspired Deep Learning Approaches for Fetal Ultrasound Image Classification
Rinat Prochii, Elizaveta Dakhova, Pavel Birulin, Maxim Sharaev
https://arxiv.org/abs/2506.08623

Biologically Inspired Deep Learning Approaches for Fetal Ultrasound Image Classification
Accurate classification of second-trimester fetal ultrasound images remains challenging due to low image quality, high intra-class variability, and significant class imbalance. In this work, we introduce a simple yet powerful, biologically inspired deep learning ensemble framework that-unlike prior studies focused on only a handful of anatomical targets-simultaneously distinguishes 16 fetal structures. Drawing on the hierarchical, modular organization of biological vision systems, our model sta…

This https://arxiv.org/abs/2505.19165 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

OrgAccess: A Benchmark for Role Based Access Control in Organization Scale LLMs
Role-based access control (RBAC) and hierarchical structures are foundational to how information flows and decisions are made within virtually all organizations. As the potential of Large Language Models (LLMs) to serve as unified knowledge repositories and intelligent assistants in enterprise settings becomes increasingly apparent, a critical, yet under explored, challenge emerges: \textit{can these models reliably understand and operate within the complex, often nuanced, constraints imposed b…

Contact-induced molecular reorganization in E. coli model lipid membranes
Nicolo Tormena, Teuta Pilizota, Kislon Vo\"itchovsky
https://arxiv.org/abs/2508.02195 https://

Contact-induced molecular reorganization in E. coli model lipid membranes
Biological membranes are complex, dynamic structures essential for cellular compartmentalization, signaling, and mechanical integrity. The molecular organization of eukaryotic membranes has been extensively studied, including the lipid raft-mediated lateral organization and the influence of the specific molecular interactions. Bacterial membranes were traditionally viewed as compositionally simpler and structurally uniform. Recent evidence, however, reveals that they possess significant lipid d…

sanba: An R Package for Bayesian Clustering of Distributions via Shared Atoms Nested Models
Francesco Denti, Laura D'Angelo
https://arxiv.org/abs/2508.09758 https://

sanba: An R Package for Bayesian Clustering of Distributions via Shared Atoms Nested Models
Nested data structures arise when observations are grouped into distinct units, such as patients within hospitals or students within schools. Accounting for this hierarchical organization is essential for valid inference, as ignoring it can lead to biased estimates and poor generalization. This article addresses the challenge of clustering both individual observations and their corresponding groups while flexibly estimating group-specific densities. Bayesian nested mixture models offer a princi…

Electrically driven first-order phase transition of a 2D ionic crystal at the electrode/electrolyte interface
Federica Angiolari, Alessandro Coretti, Mathieu Salanne, Sara Bonella
https://arxiv.org/abs/2507.19087

Electrically driven first-order phase transition of a 2D ionic crystal at the electrode/electrolyte interface
Liquid electrolytes adsorbed at the surface of metallic electrodes display a multitude of structures that can largely differ from the parent bulk system, both in terms of composition and local organization. In particular, the existence of disorder-order or order-order transitions has been increasingly reported in experimental and simulation studies, and the electrode potential identified as the corresponding driving force. The microscopic mechanisms and the stages of the process are, however, p…

Soliton-like Rogue Wave Dynamics in Dissipative Higher-Order NLS Models: A Floquet Spectral Perspective
C. M. Schober, A. Islas
https://arxiv.org/abs/2507.20375 https://

Soliton-like Rogue Wave Dynamics in Dissipative Higher-Order NLS Models: A Floquet Spectral Perspective
We investigate rogue wave formation and spectral downshifting in the higher-order nonlinear Schrödinger (HONLS) equation and its dissipative extensions: the nonlinear mean-flow damping model (NLD-HONLS) and the viscous damping model (V-HONLS). By applying Floquet spectral analysis, we characterize i) the structural organization of the dynamical background and ii) the nature of the rogue waves that appear, distinguishing sharply localized, soliton-like structures from more diffuse, spatially ex…

Hyperuniformity in ternary fluid mixtures: the role of wetting and hydrodynamics
Nadia Bihari Padhan, Axel Voigt
https://arxiv.org/abs/2506.22647 https://

Hyperuniformity in ternary fluid mixtures: the role of wetting and hydrodynamics
Phase separation in multicomponent fluids is central to understanding the organization of complex materials and biological structures. The Cahn-Hilliard-Navier-Stokes (CHNS) equations offer a robust framework for modeling such systems, capturing both diffusive dynamics and hydrodynamic interactions. In this work, we investigate hyperuniformity, characterized by suppressed large-scale density fluctuations, in ternary fluid mixtures governed by the ternary CHNS equations. Using large-scale direct…

Active Hyperuniform Networks of Chiral Magnetic Micro-Robotic Spinners
Jing Wang, Zihao Sun, Huaicheng Chen, Gao Wang, Duyu Chen, Guo Chen, Jianwei Shuai, Mingcheng Yang, Yang Jiao, Liyu Liu
https://arxiv.org/abs/2505.21820

Active Hyperuniform Networks of Chiral Magnetic Micro-Robotic Spinners
Disorder hyperuniform (DHU) systems possess a hidden long-range order manifested as the complete suppression of normalized large-scale density fluctuations like crystals, which endows them with many unique properties. Here, we demonstrate a new organization mechanism for achieving stable DHU structures in active-particle systems via investigating the self-assembly of robotic spinners with three-fold symmetric magnetic binding sites up to a heretofore experimentally unattained system size, i.e.,…