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@Sustainable2050@mastodon.energy
2026-01-25 08:14:58

2/3 of 16,500 domain names used by Dutch authorities, health care, schools and vital companies are coupled to at least one US cloud service nos.nl/l/2599601

@arXiv_condmatmtrlsci_bot@mastoxiv.page
2025-11-27 10:05:46

Coupled Structural and Electronic Requirements in Alpha-FASnI3 Imposed by the Sn(II) Lone Pair
Mridhula Venkatanarayanan, Vladislav Slama, Madhubanti Mukherjee, Andrea Vezzosi, Ursula Rothlisberger, Virginia Carnevali
arxiv.org/abs/2511.21254

@arXiv_mathDG_bot@mastoxiv.page
2026-01-26 08:12:51

The Coupled Hitchin-He Equations: Integrable Deformations and Rigidity of the Moduli Space
Haoran He, Qichen He
arxiv.org/abs/2601.16521 ar…

It would be pretty funny if a D-tilted environment
coupled with trying to dilute D votes by gerrymandering them into heavily red districts
resulted in a much bigger blowout than if they hadn’t gerrymandered
bsky.app/profile/adamgurri.lib

@brian_gettler@mas.to
2025-12-19 13:41:35

In positive news, after the cold snap we've had since November, the last couple of days' warmer weather coupled with the heavy rain we had over night thawed the ground enough for us to plant the garlic. We also discovered a few forgotten radishes in the process.
#gardening

@arXiv_physicsoptics_bot@mastoxiv.page
2025-11-25 14:49:38

Crosslisted article(s) found for physics.optics. arxiv.org/list/physics.optics/
[1/1]:
- Robot joint characterisation and control using a magneto-optical rotary encoder
Yunlong Guo, John Canning, Zenon Chaczko, Gang-Ding Peng
arxiv.org/abs/2511.17608 mastoxiv.page/@arXiv_csRO_bot/
- Comprehensive Multimodal and Multiscale Analysis of Alzheimer Disease in 5xFAD Mice: Optical Spec...
Solanki, Apachigawo, Khan, Maity, Alharthi, Nasim, Poshtiri, Sweety, Xiao, Khan, Pradhan
arxiv.org/abs/2511.18320 mastoxiv.page/@arXiv_physicsme
- Stable multipole solitons in defocusing saturable media with an annular trapping potential
Xiaoli Lang, Boris A. Malomed, Liangwei Dong
arxiv.org/abs/2511.18356 mastoxiv.page/@arXiv_nlinPS_bo
- High-Accuracy Material Classification via Reference-Free Terahertz Spectroscopy: Revisiting Spect...
Mathias Hedegaard Kristensen, Pawe{\l} Piotr Cielecki, Esben Skovsen
arxiv.org/abs/2511.18572 mastoxiv.page/@arXiv_physicsap
- Observation of Dicke cooperativity between strongly coupled phonons and crystal-field excitations...
Fangliang Wu, Xiaoxuan Ma, Zhongwei Zhang, Motoaki Bamba, Jian Sun, Yuan Wan, Shixun Cao, Qi Zhang
arxiv.org/abs/2511.18862 mastoxiv.page/@arXiv_condmatmt
- Strong Energy Dependent Transition Radiation in a Photonic Crystal
V. Gareyan, Zh. Gevorkian
arxiv.org/abs/2511.18863 mastoxiv.page/@arXiv_physicsac
- 3M-TI: High-Quality Mobile Thermal Imaging via Calibration-free Multi-Camera Cross-Modal Diffusion
Minchong Chen, Xiaoyun Yuan, Junzhe Wan, Jianing Zhang, Jun Zhang
arxiv.org/abs/2511.19117 mastoxiv.page/@arXiv_csCV_bot/
toXiv_bot_toot

@cosmos4u@scicomm.xyz
2026-01-15 18:23:33

Coupled 1D Chemical Kinetic Transport and 2D Hydrodynamic Modeling Supports a Modest 1–1.5× Supersolar Oxygen Abundance in Jupiter’s Atmosphere: #Jupiter: news.uchicago.edu/story/comput - atmospheric study finds surprises about our largest neighboring planet and its deep atmosphere.

@thesaigoneer@social.linux.pizza
2025-11-20 08:03:21

There's two other very interesting MX Linux iso's that I'd like to point to:
- the official Fluxbox version, which still offers a lot of the tools and software available to the generic XFCE version
- the minimal XFCE community spin (you know I had to check that out)
Fluxbox is actually a very nice floater, and coupled with the tools, theming and ecosystem of MX is a great choice for those old Thinkpads!

@NFL@darktundra.xyz
2025-11-19 12:25:27

Cowboys LB DeMarvion Overshown returns from knee injury to boost D: 'It's only up from here' nfl.com/news/cowboys-lb-demarv<…

@primonatura@mstdn.social
2025-12-09 13:00:15

"Nature recovery plan in England hit by clause allowing contracts to end with a year’s notice"
#UK #UnitedKingdom #Nature

@arXiv_mathOC_bot@mastoxiv.page
2025-11-14 09:37:40

Locally Linear Convergence for Nonsmooth Convex Optimization via Coupled Smoothing and Momentum
Reza Rahimi Baghbadorani, Sergio Grammatico, Peyman Mohajerin Esfahani
arxiv.org/abs/2511.10239 arxiv.org/pdf/2511.10239 arxiv.org/html/2511.10239
arXiv:2511.10239v1 Announce Type: new
Abstract: We propose an adaptive accelerated smoothing technique for a nonsmooth convex optimization problem where the smoothing update rule is coupled with the momentum parameter. We also extend the setting to the case where the objective function is the sum of two nonsmooth functions. With regard to convergence rate, we provide the global (optimal) sublinear convergence guarantees of O(1/k), which is known to be provably optimal for the studied class of functions, along with a local linear rate if the nonsmooth term fulfills a so-call locally strong convexity condition. We validate the performance of our algorithm on several problem classes, including regression with the l1-norm (the Lasso problem), sparse semidefinite programming (the MaxCut problem), Nuclear norm minimization with application in model free fault diagnosis, and l_1-regularized model predictive control to showcase the benefits of the coupling. An interesting observation is that although our global convergence result guarantees O(1/k) convergence, we consistently observe a practical transient convergence rate of O(1/k^2), followed by asymptotic linear convergence as anticipated by the theoretical result. This two-phase behavior can also be explained in view of the proposed smoothing rule.
toXiv_bot_toot

@arXiv_csLG_bot@mastoxiv.page
2025-12-22 10:32:30

You Only Train Once: Differentiable Subset Selection for Omics Data
Daphn\'e Chopard, Jorge da Silva Gon\c{c}alves, Irene Cannistraci, Thomas M. Sutter, Julia E. Vogt
arxiv.org/abs/2512.17678 arxiv.org/pdf/2512.17678 arxiv.org/html/2512.17678
arXiv:2512.17678v1 Announce Type: new
Abstract: Selecting compact and informative gene subsets from single-cell transcriptomic data is essential for biomarker discovery, improving interpretability, and cost-effective profiling. However, most existing feature selection approaches either operate as multi-stage pipelines or rely on post hoc feature attribution, making selection and prediction weakly coupled. In this work, we present YOTO (you only train once), an end-to-end framework that jointly identifies discrete gene subsets and performs prediction within a single differentiable architecture. In our model, the prediction task directly guides which genes are selected, while the learned subsets, in turn, shape the predictive representation. This closed feedback loop enables the model to iteratively refine both what it selects and how it predicts during training. Unlike existing approaches, YOTO enforces sparsity so that only the selected genes contribute to inference, eliminating the need to train additional downstream classifiers. Through a multi-task learning design, the model learns shared representations across related objectives, allowing partially labeled datasets to inform one another, and discovering gene subsets that generalize across tasks without additional training steps. We evaluate YOTO on two representative single-cell RNA-seq datasets, showing that it consistently outperforms state-of-the-art baselines. These results demonstrate that sparse, end-to-end, multi-task gene subset selection improves predictive performance and yields compact and meaningful gene subsets, advancing biomarker discovery and single-cell analysis.
toXiv_bot_toot

@arXiv_nlincd_bot@mastoxiv.page
2025-11-25 08:19:53

Dynamics of coupled $D$-dimensional Stuart-Landau oscillators
Pragjyotish Bhuyan Gogoi, Awadhesh Prasad, Aryan Patel, Ram Ramaswamy, Debashis Ghoshal
arxiv.org/abs/2511.19052

@arXiv_qbioMN_bot@mastoxiv.page
2026-01-21 22:28:48

Replaced article(s) found for q-bio.MN. arxiv.org/list/q-bio.MN/new
[1/1]:
- Information Transmission and Processing in G-Protein-Coupled-Receptor Complexes
Roger D. Jones, Achille Giacometti, Alan M. Jones

@@arXiv_physicsatomph_bot@mastoxiv.page@mastoxiv.page
2025-12-09 09:21:08

Determination of nuclear quadrupole moments of $^{25}$Mg, $^{87}$Sr, and $^{135,137}$Ba via configuration-interaction plus coupled-cluster approach
Yong-Bo Tang
arxiv.org/abs/2512.07603 arxiv.org/pdf/2512.07603 arxiv.org/html/2512.07603
arXiv:2512.07603v1 Announce Type: new
Abstract: Using the configuration-interaction plus coupled-cluster approach, we calculate the electric-field gradients $q$ for the low-lying states of alkaline-earth atoms, including magnesium (Mg), strontium (Sr), and barium (Ba). These low-lying states specifically include the $3s3p~^3\!P_{1,2}$ states of Mg; the $5s4d~^1\!D_{2}$ and $5s5p~^3\!P_{1,2}$ states of Sr; as well as the $6s5d~^3\!D_{1,2,3}$, $6s5d~^1\!D_{2}$, and $6s6p~^1\!P_{1}$ states of Ba. By combining the measured electric quadrupole hyperfine-structure constants of these states, we accurately determine the nuclear quadrupole moments of $^{25}$Mg, $^{87}$Sr, and $^{135,137}$Ba. These results are compared with the available data. The comparison shows that our nuclear quadrupole moment of $^{25}$Mg is in perfect agreement with the result from the mesonic X-ray experiment. However, there are approximately 10\% and 4\% differences between our results and the currently adopted values [Pyykk$\rm \ddot{o}$, Mol. Phys. 116, 1328(2018)] for the nuclear quadrupole moments of $^{87}$Sr and $^{135,137}$Ba respectively. Moreover, we also calculate the magnetic dipole hyperfine-structure constants of these states, and the calculated results exhibit good agreement with the measured data.
toXiv_bot_toot

@markhburton@mstdn.social
2025-11-04 10:06:07

Chancellor of the Exchequer Reeves with not one but 2 imperial flags and the lectern slogan, "Strong Foundations | Secure Future", neither of which can be claimed in any sense, either as the present reality or as the result of whatever 'tough choices' she will trail.
The only tough choices that matter are to reduce material and energy usage coupled with a massive redistribution of wealth to secure a 'strong foundation' of security and equity, in terms of ecolog…

Chancellor of the Exchequer Reeves with not one but 2 imperial flags and the lectern slogan, "Strong Foundations| Secure Future"
@arXiv_csLG_bot@mastoxiv.page
2025-12-22 10:34:50

Regularized Random Fourier Features and Finite Element Reconstruction for Operator Learning in Sobolev Space
Xinyue Yu, Hayden Schaeffer
arxiv.org/abs/2512.17884 arxiv.org/pdf/2512.17884 arxiv.org/html/2512.17884
arXiv:2512.17884v1 Announce Type: new
Abstract: Operator learning is a data-driven approximation of mappings between infinite-dimensional function spaces, such as the solution operators of partial differential equations. Kernel-based operator learning can offer accurate, theoretically justified approximations that require less training than standard methods. However, they can become computationally prohibitive for large training sets and can be sensitive to noise. We propose a regularized random Fourier feature (RRFF) approach, coupled with a finite element reconstruction map (RRFF-FEM), for learning operators from noisy data. The method uses random features drawn from multivariate Student's $t$ distributions, together with frequency-weighted Tikhonov regularization that suppresses high-frequency noise. We establish high-probability bounds on the extreme singular values of the associated random feature matrix and show that when the number of features $N$ scales like $m \log m$ with the number of training samples $m$, the system is well-conditioned, which yields estimation and generalization guarantees. Detailed numerical experiments on benchmark PDE problems, including advection, Burgers', Darcy flow, Helmholtz, Navier-Stokes, and structural mechanics, demonstrate that RRFF and RRFF-FEM are robust to noise and achieve improved performance with reduced training time compared to the unregularized random feature model, while maintaining competitive accuracy relative to kernel and neural operator tests.
toXiv_bot_toot

@arXiv_qbioNC_bot@mastoxiv.page
2025-12-12 08:16:59

Modeling, Segmenting and Statistics of Transient Spindles via Two-Dimensional Ornstein-Uhlenbeck Dynamics
C. Sun, D. Fettahoglu, D. Holcman
arxiv.org/abs/2512.10844 arxiv.org/pdf/2512.10844 arxiv.org/html/2512.10844
arXiv:2512.10844v1 Announce Type: new
Abstract: We develop here a stochastic framework for modeling and segmenting transient spindle- like oscillatory bursts in electroencephalogram (EEG) signals. At the modeling level, individ- ual spindles are represented as path realizations of a two-dimensional Ornstein{Uhlenbeck (OU) process with a stable focus, providing a low-dimensional stochastic dynamical sys- tem whose trajectories reproduce key morphological features of spindles, including their characteristic rise{decay amplitude envelopes. On the signal processing side, we propose a segmentation procedure based on Empirical Mode Decomposition (EMD) combined with the detection of a central extremum, which isolates single spindle events and yields a collection of oscillatory atoms. This construction enables a systematic statistical analysis of spindle features: we derive empirical laws for the distributions of amplitudes, inter-spindle intervals, and rise/decay durations, and show that these exhibit exponential tails consistent with the underlying OU dynamics. We further extend the model to a pair of weakly coupled OU processes with distinct natural frequencies, generating a stochastic mixture of slow, fast, and mixed spindles in random temporal order. The resulting framework provides a data- driven framework for the analysis of transient oscillations in EEG and, more generally, in nonstationary time series.
toXiv_bot_toot

@ruth_mottram@fediscience.org
2026-01-19 10:29:42

We're also #hiring a coupled climate and ice sheet modeller for a 3 year position @dmidk.bsky.social
Come and work with me colleagues on the @icelink-project.bsky.social developing #ECEarth #Pism in both Greenland Antarctica
Job based @… in Copenhagen
🇩🇰🇬🇱🇦🇶🇪🇺🌍
#AcademicJobs #FediHire #Fedijobs
candidate.hr-manager.net/Appli

@@arXiv_physicsatomph_bot@mastoxiv.page@mastoxiv.page
2025-11-20 09:16:39

Study of ground state electronic structure of XH$^ $ (X : Cd, Hg and Yb) molecular ions via coupled-cluster approach
Ankush Thakur, Renu Bala, H. S. Nataraj
arxiv.org/abs/2511.15637

@NFL@darktundra.xyz
2025-12-02 13:30:33

Bears head coach Ben Johnson: Holding No. 1 seed in Week 14 'doesn't mean anything' nfl.com/news/bears-head-coach-

@arXiv_mathOC_bot@mastoxiv.page
2025-11-14 09:30:00

The Age-Structured Chemostat with Substrate Dynamics as a Control System
Iasson Karafyllis, Dionysis Theodosis, Miroslav Krstic
arxiv.org/abs/2511.09963 arxiv.org/pdf/2511.09963 arxiv.org/html/2511.09963
arXiv:2511.09963v1 Announce Type: new
Abstract: In this work we study an age-structured chemostat model with a renewal boundary condition and a coupled substrate equation. The model is nonlinear and consists of a hyperbolic partial differential equation and an ordinary differential equation with nonlinear, nonlocal terms appearing both in the ordinary differential equation and the boundary condition. Both differential equations contain a non-negative control input, while the states of the model are required to be positive. Under an appropriate weak solution framework, we determine the state space and the input space for this model. We prove global existence and uniqueness of solutions for all admissible initial conditions and all allowable control inputs. To this purpose we employ a combination of Banach's fixed-point theorem with implicit solution formulas and useful solution estimates. Finally, we show that the age-structured chemostat model gives a well-defined control system on a metric space.
toXiv_bot_toot

@arXiv_nlincd_bot@mastoxiv.page
2025-11-21 10:59:46

Crosslisted article(s) found for nlin.CD. arxiv.org/list/nlin.CD/new
[1/1]:
- Effects of Non-reciprocity on Coupled Kuramoto Oscillators
Shaon Mandal Chakraborty, Bibhut Sahoo, Rituparno Mandal, Peter Sollich

@@arXiv_physicsatomph_bot@mastoxiv.page@mastoxiv.page
2025-12-09 09:21:08

Determination of nuclear quadrupole moments of $^{25}$Mg, $^{87}$Sr, and $^{135,137}$Ba via configuration-interaction plus coupled-cluster approach
Yong-Bo Tang
arxiv.org/abs/2512.07603

@hex@kolektiva.social
2025-11-07 19:24:59

Economic boycott of everything and general strike Nov 25th Dec 2nd. When I was talking about #NoKings / #50501Movement needing to having an escalation plan, this is an excellent escalation. Hitting US retail on #BlackFriday and #CyberMonday coupled with a #PeoplesSickDay during that time could actually be enough to force the invocation of the 25th. There's already been an elite fracture. The government shut down is not the well calculated coup that I think Trump and co thought it was.
This whole #BlackOutTheSystem thing has a lot of potential....
#USPol

@@arXiv_physicsatomph_bot@mastoxiv.page@mastoxiv.page
2025-12-08 10:54:35

Crosslisted article(s) found for physics.atom-ph. arxiv.org/list/physics.atom-ph
[1/1]:
- Mechanical Stability of 2D Ti2COx MXenes Under Compression Using Reactive Molecular Dynamics
Hossein Darban
arxiv.org/abs/2512.05166 mastoxiv.page/@arXiv_condmatmt
- Squeezing Classical Antiferromagnets into Quantum Spin Liquids via Global Cavity Fluctuations
Mann, Oehlgrien, Jaworowski, Calaj\'o, Marino, Choi, Chang
arxiv.org/abs/2512.05630 mastoxiv.page/@arXiv_quantph_b
- Quenching dynamics of vortex in spin-orbit coupled Bose-Einstein condensates
Juan Wang, Zhenze Fan, Yan Li
arxiv.org/abs/2512.05691 mastoxiv.page/@arXiv_condmatqu
- Computer simulations of the Stark effect in the helium-beta complex of krypton in ICF conditions
G. P\'erez-Callejo, E. Stambulchik, R. Florido, M. A. Gigosos
arxiv.org/abs/2512.05903 mastoxiv.page/@arXiv_physicspl
toXiv_bot_toot

@@arXiv_physicsatomph_bot@mastoxiv.page@mastoxiv.page
2025-12-05 08:58:01

Exploring vibronic dynamics near a sloped conical intersection with trapped Rydberg ions
Abdessamad Belfakir, Weibin Li
arxiv.org/abs/2512.04941 arxiv.org/pdf/2512.04941 arxiv.org/html/2512.04941
arXiv:2512.04941v1 Announce Type: new
Abstract: We study spin-phonon coupled dynamics in the vicinity of a sloped conical intersection created by laser coupling the electronic (spin) and vibrational degrees of freedom of a pair of trapped Rydberg ions. We show that the shape of the potential energy surfaces can be engineered and controlled by exploiting the sideband transitions of the crystal vibration and dipole-dipole interactions between Rydberg ions in the Lamb-Dicke regime. Using the sideband transition, we realize a sloped conical intersection whose cone axis is only tilted along one spatial axis. When the phonon wavepacket is located in the potential minimum of the lower potential surface, the spin and phonon dynamics are largely frozen owing to the geometric phase effect. When starting from the upper potential surface, the electronic and phonon states tunnel to the lower potential surface, leading to a partial revival of the initial state. In contrast, the dynamics drastically change when the initial wavepackets are away from the conical intersection. The initial state is revived, and is almost entirely irrelevant to whether it is from the lower or upper potential surface. Complete Rabi oscillations of the adiabatic states are found when the wavepacket is initialized on the upper potential surface. The dynamics occur on the microsecond and nanometer scales, implying that Rydberg ions provide a platform for simulating nonadiabatic processes in the vicinity of a sloped conical intersection.
toXiv_bot_toot

@@arXiv_physicsatomph_bot@mastoxiv.page@mastoxiv.page
2026-01-06 14:20:02

Crosslisted article(s) found for physics.atom-ph. arxiv.org/list/physics.atom-ph
[1/1]:
- A quadratic-scaling algorithm with guaranteed convergence for quantum coupled-channel calculations
Hubert J. J\'o\'zwiak, Md Muktadir Rahman, Timur V. Tscherbul