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Space datacenters proposed by SpaceX, Jeff Bezos’s Blue Origin and others would
release staggering levels of pollution that would probably alter the Earth’s atmosphere
and be “catastrophic” for the planet, space industry experts and environmental groups warn in a new petition demanding a review of their impacts.
Tech companies have collectively proposed millions of “orbital datacenters”
and are pressing forward with plans, which require Federal Communications Commissi…

@arXiv_condmatsoft_bot@mastoxiv.page
2026-08-13 07:56:17

Magnetic active matter across scales
Francisca Guzm\'an-Lastra, Margaret Rosenberg, Marco Musacchio, Lorenzo Caprini, Hartmut L\"owen
arxiv.org/abs/2608.11875 arxiv.org/pdf/2608.11875 arxiv.org/html/2608.11875
arXiv:2608.11875v1 Announce Type: new
Abstract: Magnetic interactions provide a versatile and powerful tool for controlling and organizing active matter, where individual units continuously consume energy to drive autonomous motion. These interactions arise naturally in biological systems, such as magnetotactic bacteria, and can be engineered into synthetic platforms, including colloidal microswimmers, magnetic nanoparticles, and macroscopic granular robots. This review focuses on active, self-propelled particles that carry an intrinsic magnetic dipole moment, powered by their own energy consumption rather than driven by external fields; here, the dipole moment mediates interactions and self-organization, not propulsion. We survey experimental and theoretical studies across all length scales, showing how dipolar interactions shape single-particle dynamics, collective behavior, and self-organization. We discuss models incorporating pairwise dipolar forces and confinement, and examine emergent phenomena such as chaining, swarming, and tunable pattern formation. We close by outlining challenges and opportunities in the design, control, and application of magnetic active systems, from programmable materials and biomedical actuation to nonequilibrium physics.
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@arXiv_mathDS_bot@mastoxiv.page
2026-08-04 08:27:14

Rigid Functions, IP-Systems, and Topological Mild Mixing
Song Shao, Hui Xu
arxiv.org/abs/2608.02282 arxiv.org/pdf/2608.02282 arxiv.org/html/2608.02282
arXiv:2608.02282v1 Announce Type: new
Abstract: We study uniform rigidity and topological mild mixing through continuous observables. For a fixed sequence of times, the observables rigid along that sequence form a closed unital $T^{\pm1}$-invariant algebra and determine the maximal factor uniformly rigid along the prescribed sequence. We then give functional forms of the classical ${\rm SIP}^{*}$- and ${\rm IP}^{*}$-return-time criteria: a topological dynamical system is mildly mixing exactly when it has no nonconstant locally SIP-rigid observable, and in the minimal category the same property is equivalent to the absence of nonconstant locally IP-rigid observables. Finally, a locally IP-rigid observable yields a canonical orbit-name factor carrying marked local data. For fixed local data, the $T^{\pm 1}$-invariant core of the local rigidity algebra determines a uniformly rigid factor whenever the core is nontrivial.
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@arXiv_astrophGA_bot@mastoxiv.page
2026-07-22 08:14:16

The Large Magellanic Cloud through the lens of the James Webb Space Telescope: Binaries and the mass function in the galaxy's outskirts
M. V. Legnardi, F. Muratore, A. P. Milone, G. Cordoni, E. Dondoglio, L. N. Gorza, A. Bellini, F. Calura, S. Jang, H. Jerjen, A. Karakas, E. P. Lagioia, C. Li, A. Mastrobuono-Battisti, M. Tailo, E. Vesperini, E. Bortolan, A. F. Marino, S. Di Stefano
arxiv.org/abs/2607.19260 arxiv.org/pdf/2607.19260 arxiv.org/html/2607.19260
arXiv:2607.19260v1 Announce Type: new
Abstract: Nearby galaxies such as the Large Magellanic Cloud (LMC) offer an ideal laboratory to test the initial mass function under different physical conditions, but previous works have been limited by photometric depth and have therefore poorly constrained the low-mass regime. Here, we analyze ultra-deep James Webb Space Telescope observations of a field in the LMC outskirts, near the intermediate-age and massive star cluster NGC 1846. Using the $m_{\rm F322W2}$ versus $m_{\rm F115W}-m_{\rm F322W2}$ color-magnitude diagram, we derive the mass function (MF) down to unprecedentedly low masses ($M=0.17 M_{\odot}$), explicitly accounting for the contribution of unresolved binaries, whose fraction is constrained directly from the data. For systems with mass ratios $q>0.6$, we measure a binary fraction of $f_{\rm bin}^{q>0.6}=0.15\pm0.01$, implying a total binary fraction of $f_{\rm bin}^{\rm TOT}=0.34\pm0.02$ for a flat mass-ratio distribution. This is consistent with values in the Small Magellanic Cloud (SMC) and in the Milky Way field, suggesting similar binary formation efficiency across low-density environments. We also derive the MF over the mass interval 0.17-0.82 $M_{\odot}$ and fit it with a power law, obtaining a slope of $\alpha = -1.49 \pm 0.16$. This slope is shallower than the canonical Salpeter value ($\alpha=-2.35$) and slightly shallower than that measured in the SMC field, while remaining consistent with determinations for Galactic open clusters and for several clusters in the Magellanic Clouds and the Milky Way. Together, these results support a scenario in which both binary formation efficiency and the shape of the low-mass MF depend only weakly on the environment.
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@arXiv_qbioNC_bot@mastoxiv.page
2026-07-22 08:56:10

Replaced article(s) found for q-bio.NC. arxiv.org/list/q-bio.NC/new
[1/1]:
- State-dependent brain responsiveness, from local circuits to the whole brain
A. Destexhe, et al.
arxiv.org/abs/2510.07956 mastoxiv.page/@arXiv_qbioNC_bo
- Noise-Induced Transitions and Coherence Resonance in a 5D Conductance-Based Neuronal Model
Yefan Wu
arxiv.org/abs/2605.04088 mastoxiv.page/@arXiv_qbioNC_bo
- Dynamical Archetype Analysis: Autonomous Computation
Abel Sagodi, Il Memming Park
arxiv.org/abs/2507.05505 mastoxiv.page/@arXiv_mathDS_bo
- Active Electrosensing and Communication in MARL-trained Weakly Electric Fish Collectives
Singh, Johnson-Yu, Lu, Walsman, Pedraja, Turcu, Sharma, Saphra, Sawtell, Rajan
arxiv.org/abs/2511.08436 mastoxiv.page/@arXiv_csNE_bot/
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