Tootfinder

Physical properties of gas departing from circular rotation at 50 pc scales using the PHANGS-MUSE galaxies
Carlos L\'opez-Cob\'a, Lihwai Lin, Irene Cruz Gonz\'alez, Sebasti\'an F. S\'anchez, Hsi-An Pan, J. K. Barrera-Ballesteros, Bau-Ching Hsieh
https://arxiv.org/abs/2508.18517 …

Physical properties of gas departing from circular rotation at 50 pc scales using the PHANGS-MUSE galaxies
Noncircular motions have been observed across various spatial scales in disk galaxies, yet the physical properties of the gas involved in these motions remain poorly constrained. Using data from 19 galaxies from the PHANGS-MUSE sample, we investigated the prevalence of noncircular flows at spatial resolutions of tens of parsecs. We developed a new tool for 3D kinematic modelling of data cubes and applied it to the PHANGS-MUSE H$α$ spectral lines to recover the underlying circular, noncircular …

Replaced article(s) found for math.CV. https://arxiv.org/list/math.CV/new
[1/1]:
- The Corona Problem for Slice Hyperholomorphic Functions
Fabrizio Colombo, Elodie Pozzi, Irene Sabadini, Brett D. Wick

The unavoidable drawings of complete multipartite graphs
Jozsef Balogh, Irene Parada, Gelasio Salazar
https://arxiv.org/abs/2509.20625 https://arxiv.org/pd…

The unavoidable drawings of complete multipartite graphs
In a simple drawing of a graph every pair of edges intersect each other in at most one point, which is either a common endvertex or a proper crossing. For each positive integer $n$, Negami identified a drawing $B_n$ of the complete bipartite graph $K_{n,n}$, and proved that if $N$ is sufficiently large, then every drawing of $K_{N,N}$ contains a drawing of $K_{n,n}$ weakly isomorphic to $B_n$. Thus $B_n$ is (up to weak isomorphism) the only {\em unavoidable} drawing of $K_{n,n}$. We extend this…

Robot Trajectron V2: A Probabilistic Shared Control Framework for Navigation
Pinhao Song, Yurui Du, Ophelie Saussus, Sofie De Schrijver, Irene Caprara, Peter Janssen, Renaud Detry
https://arxiv.org/abs/2509.19954

Robot Trajectron V2: A Probabilistic Shared Control Framework for Navigation
We propose a probabilistic shared-control solution for navigation, called Robot Trajectron V2 (RT-V2), that enables accurate intent prediction and safe, effective assistance in human-robot interaction. RT-V2 jointly models a user's long-term behavioral patterns and their noisy, low-dimensional control signals by combining a prior intent model with a posterior update that accounts for real-time user input and environmental context. The prior captures the multimodal and history-dependent nature o…

Existence of nonnegative mild solutions of stochastic evolution inclusions via weak topology
Lucia Angelini, Irene Benedetti, Alessandra Cretarola
https://arxiv.org/abs/2508.17287

Existence of nonnegative mild solutions of stochastic evolution inclusions via weak topology
This paper addresses the existence of nonnegative mild solutions for stochastic evolution inclusions through a weak topology approach. Precisely, the study focuses on stochastic evolution inclusions characterized by multivalued nonlinearities and perturbed by a Q-Wiener process within a Hilbert space framework. The primary objective is to establish the existence of mild solutions under conditions that ensure sublinear growth for the involved functions and multivalued mappings. By means of the w…

JWST ALMA reveal the build up of stellar mass in the cores of dusty star-forming galaxies at Cosmic Noon
Sarah Bodansky, Katherine E. Whitaker, Ayesha Abdullah, Jamie Lin, Pascal A. Oesch, Alexandra Pope, Mengyuan Xiao, Alba Covelo-Paz, Sam Cutler, Carlos Garcia Diaz, Minju M. Lee, Sinclaire M. Manning, Romain A. Meyer, Desika Narayanan, Erica Nelson, Irene Shivaei, Pieter van Dokkum
…

Tracking spin qubit frequency variations over 912 days
Kenji Capannelli, Brennan Undseth, Irene Fern\'andez de Fuentes, Eline Raymenants, Florian K. Unseld, Oriol Pietx-Casas, Stephan G. J. Philips, Mateusz T. M\k{a}dzik, Sergey V. Amitonov, Larysa Tryputen, Giordano Scappucci, Lieven M. K. Vandersypen
https://arxiv.org/abs/2509.20990

Tracking spin qubit frequency variations over 912 days
Solid-state qubits are sensitive to their microscopic environment, causing the qubit properties to fluctuate on a wide range of timescales. The sub-Hz end of the spectrum is usually dealt with by repeated background calibrations, which bring considerable overhead. It is thus important to characterize and understand the low-frequency variations of the relevant qubit characteristics. In this study, we investigate the stability of spin qubit frequencies in the Si/SiGe quantum dot platform. We find…

AI-based Clinical Decision Support for Primary Care: A Real-World Study
Robert Korom, Sarah Kiptinness, Najib Adan, Kassim Said, Catherine Ithuli, Oliver Rotich, Boniface Kimani, Irene King'ori, Stellah Kamau, Elizabeth Atemba, Muna Aden, Preston Bowman, Michael Sharman, Rebecca Soskin Hicks, Rebecca Distler, Johannes Heidecke, Rahul K. Arora, Karan Singhal

AI-based Clinical Decision Support for Primary Care: A Real-World Study
We evaluate the impact of large language model-based clinical decision support in live care. In partnership with Penda Health, a network of primary care clinics in Nairobi, Kenya, we studied AI Consult, a tool that serves as a safety net for clinicians by identifying potential documentation and clinical decision-making errors. AI Consult integrates into clinician workflows, activating only when needed and preserving clinician autonomy. We conducted a quality improvement study, comparing outcome…

Tierra sin nosotros. Por Irene Vallejo | #ElPais
https://elpais.com/opinion/2025-09-21/tierra-sin-nosotros.html

Collapsar Disk Outflows III: Detectable Neutrino and Gravitational Wave Signatures
Rodrigo Fern\'andez, Silas Janke, Coleman Dean, Irene Tamborra
https://arxiv.org/abs/2507.17836

Collapsar Disk Outflows III: Detectable Neutrino and Gravitational Wave Signatures
We investigate the neutrino and gravitational wave (GW) signals from accretion disks formed during the failed collapse of a rotating massive star (a collapsar). Following black hole formation, a neutrino-cooled, shocked accretion disk forms, which displays non-spherical oscillations for a period of seconds before becoming advective and exploding the star. We compute the neutrino and GW signals (matter quadrupole) from collapsar disks using global axisymmetric, viscous hydrodynamic simulations. …

Wrote some stuff about what's happening. It's a little dark, I'm a little exhausted. I hope you enjoy it and subscribe.
#USpol

Kimmel and Killing
censorship and extrajudicial killing make each other more likely Just as the United States was switching broadcast television signals from analog to digital, I made my network television debut on Jimmy Kimmel Live! playing Thomas Prusik Parkin, who impersonated his dead mother, Irene Prusik, to collect her Social Security benefits,

Shedding Light on Depth: Explainability Assessment in Monocular Depth Estimation
Lorenzo Cirillo, Claudio Schiavella, Lorenzo Papa, Paolo Russo, Irene Amerini
https://arxiv.org/abs/2509.15980

Shedding Light on Depth: Explainability Assessment in Monocular Depth Estimation
Explainable artificial intelligence is increasingly employed to understand the decision-making process of deep learning models and create trustworthiness in their adoption. However, the explainability of Monocular Depth Estimation (MDE) remains largely unexplored despite its wide deployment in real-world applications. In this work, we study how to analyze MDE networks to map the input image to the predicted depth map. More in detail, we investigate well-established feature attribution methods, …

Propuesta de implementaci\'on de cat\'alogos federados para espacios de datos sobre DataHub
Carlos Aparicio de Santiago, Pablo Vi\~nuales Esquinas, Irene Plaza Ortiz, Andres Munoz-Arcentales, Gabriel Huecas, Joaqu\'in Salvach\'ua, Enrique Barra
https://arxiv.org/abs/2509.17649

Propuesta de implementación de catálogos federados para espacios de datos sobre DataHub
In the digital era, data spaces are emerging as key ecosystems for the secure and controlled exchange of information among participants. To achieve this, components such as metadata catalogs and data space connectors are essential. This document proposes an implementation and integration solution for both elements, considering standardization guidelines for data formats, metadata, and protocols, which ensures interoperability. A hybrid solution is presented: DataHub is used as a federated catal…

Bridging Research Gaps Between Academic Research and Legal Investigations of Algorithmic Discrimination
Colleen V. Chien, Anna Zink, Irene Y. Chen
https://arxiv.org/abs/2508.14954

Bridging Research Gaps Between Academic Research and Legal Investigations of Algorithmic Discrimination
As algorithms increasingly take on critical roles in high-stakes areas such as credit scoring, housing, and employment, civil enforcement actions have emerged as a powerful tool for countering potential discrimination. These legal actions increasingly draw on algorithmic fairness research to inform questions such as how to define and detect algorithmic discrimination. However, current algorithmic fairness research, while theoretically rigorous, often fails to address the practical needs of lega…

Stability and bifurcations of resonances in ring's dynamics
Alessandra Celletti, Irene De Blasi, Sara Di Ruzza
https://arxiv.org/abs/2507.15745 https:/…

Stability and bifurcations of resonances in ring's dynamics
We use perturbation theory and bifurcation theory to analyze the dynamical behavior of resonances, associated to a model describing a particle moving within a ring around a celestial object. The central body is modeled as a homogeneous triaxial ellipsoid, rotating about its shortest physical axis at a constant angular velocity. It is assumed that the massless ring particle moves within the equatorial plane of the ellipsoid. The dynamics of the particle is studied using epicyclic variables, that…

Chaotic Boltzmann's Billiard Systems at positive energy
Irene De Blasi, Airi Takeuchi, Susanna Terracini
https://arxiv.org/abs/2509.17132 https://arxiv…

Chaotic Boltzmann's Billiard Systems at positive energy
This paper deals with the so-called Boltzmann billiard, that is, a billiard subjected to a central force of the type $V(r)=-α/r-β/r^2$, $α$ and $β$ being positive constants, and with a straight reflection table. In the particular case of $α$ and $β$ positive, we prove the presence of a symbolic dynamics, and hence of positive topological entropy, at positive energy and for $β$ sufficiently small.

An optimal-control framework for reaction diffusion systems with application to synthetic developmental biology
Mohamed Amine Ouchdiri, Hamza Faquir, Saad Benjelloun, Mohamed Adlene Maghenem, Irene Otero-Muras, Adnane Saoud
https://arxiv.org/abs/2509.15889

An optimal-control framework for reaction diffusion systems with application to synthetic developmental biology
Reaction-diffusion systems offer a powerful framework for understanding self-organized patterns in biological systems, yet controlling these patterns remains a significant challenge. As a consequence, we present a rigorous framework of optimal control for a class of coupled reaction-diffusion systems. The couplings are justified by the shared regulatory mechanisms encountered in synthetic biology. Furthermore, we introduce inputs and polynomial input-gain functions to guarantee well-posedness o…

State transfer analysis for linear spin chains with non-uniform on-site energies
Chad C. Nelmes, Irene D'Amico, Timothy P. Spiller
https://arxiv.org/abs/2507.13261

State transfer analysis for linear spin chains with non-uniform on-site energies
High fidelity state transfer is an important ingredient of distributed quantum information processing. We present and analyse results on perfect and quasi-perfect state transfer with linear spin chains incorporating non-uniform on-site energies. The motivation is maintenance of coupling uniformity, which could be beneficial for some physical implementations. We relate this coupling uniformity to a particle in a discrete potential analogue. Our analysis further considers the statistical variatio…

Patterns, Models, and Challenges in Online Social Media: A Survey
Niccol\`o Di Marco, Anita Bonetti, Edoardo Di Martino, Edoardo Loru, Jacopo Nudo, Mario Edoardo Pandolfo, Giulio Pecile, Emanuele Sangiorgio, Irene Scalco, Simon Zollo, Matteo Cinelli, Fabiana Zollo, Walter Quattrociocchi
https://arxiv.org/abs/2507.13379

Patterns, Models, and Challenges in Online Social Media: A Survey
The rise of digital platforms has enabled the large scale observation of individual and collective behavior through high resolution interaction data. This development has opened new analytical pathways for investigating how information circulates, how opinions evolve, and how coordination emerges in online environments. Yet despite a growing body of research, the field remains fragmented and marked by methodological heterogeneity, limited model validation, and weak integration across domains. T…

Incorporating Fairness Constraints into Archetypal Analysis
Aleix Alcacer, Irene Epifanio
https://arxiv.org/abs/2507.12021 https://ar…

Incorporating Fairness Constraints into Archetypal Analysis
Archetypal Analysis (AA) is an unsupervised learning method that represents data as convex combinations of extreme patterns called archetypes. While AA provides interpretable and low-dimensional representations, it can inadvertently encode sensitive attributes, leading to fairness concerns. In this work, we propose Fair Archetypal Analysis (FairAA), a modified formulation that explicitly reduces the influence of sensitive group information in the learned projections. We also introduce FairKerne…

MEML-GRPO: Heterogeneous Multi-Expert Mutual Learning for RLVR Advancement
Weitao Jia, Jinghui Lu, Haiyang Yu, Siqi Wang, Guozhi Tang, An-Lan Wang, Weijie Yin, Dingkang Yang, Yuxiang Nie, Bin Shan, Hao Feng, Irene Li, Kun Yang, Han Wang, Jingqun Tang, Teng Fu, Changhong Jin, Chao Feng, Xiaohui Lv, Can Huang
https://arxiv.org/abs/2508.09670…

MEML-GRPO: Heterogeneous Multi-Expert Mutual Learning for RLVR Advancement
Recent advances demonstrate that reinforcement learning with verifiable rewards (RLVR) significantly enhances the reasoning capabilities of large language models (LLMs). However, standard RLVR faces challenges with reward sparsity, where zero rewards from consistently incorrect candidate answers provide no learning signal, particularly in challenging tasks. To address this, we propose Multi-Expert Mutual Learning GRPO (MEML-GRPO), an innovative framework that utilizes diverse expert prompts as …

Characterizing the Efficiency of Distributed Training: A Power, Performance, and Thermal Perspective
Seokjin Go, Joongun Park, Spandan More, Hanjiang Wu, Irene Wang, Aaron Jezghani, Tushar Krishna, Divya Mahajan
https://arxiv.org/abs/2509.10371

Characterizing the Efficiency of Distributed Training: A Power, Performance, and Thermal Perspective
The rapid scaling of Large Language Models (LLMs) has pushed training workloads far beyond the limits of single-node analysis, demanding a deeper understanding of how these models behave across large-scale, multi-GPU systems. In this paper, we present a comprehensive characterization of LLM training across diverse real-world workloads and hardware platforms, including NVIDIA H100/H200 and AMD MI250 GPUs. We analyze dense and sparse models under various parallelism strategies -- tensor, pipeline…

Turing Patterns in a Morphogenetic Model with Single Regulatory Function
Mohamed Amine Ouchdiri, Saad Benjelloun, Adnane Saoud, Irene Otero-Muras
https://arxiv.org/abs/2509.15829

Turing Patterns in a Morphogenetic Model with Single Regulatory Function
Confirming Turing's theory of morphogens in developmental processes is challenging, and synthetic biology has opened new avenues for testing Turing's predictions. Synthetic mammalian pattern formation has been recently achieved through a reaction-diffusion system based on the short-range activator (Nodal) and the long-range inhibitor (Lefty) topology, where a single function regulates both morphogens. In this paper, we investigate the emergence of Turing patterns in the synthetic Nodal-Lefty sy…

Time-Varying Heterogeneous Treatment Effects in Event Studies
Irene Botosaru, Laura Liu
https://arxiv.org/abs/2509.13698 https://arxiv.org/pdf/2509.13698…

Time-Varying Heterogeneous Treatment Effects in Event Studies
This paper examines the identification and estimation of heterogeneous treatment effects in event studies, emphasizing the importance of both lagged dependent variables and treatment effect heterogeneity. We show that omitting lagged dependent variables can induce omitted variable bias in the estimated time-varying treatment effects. We develop a novel semiparametric approach based on a short-T dynamic linear panel model with correlated random coefficients, where the time-varying heterogeneous …

Replaced article(s) found for math.GT. https://arxiv.org/list/math.GT/new
[1/1]:
- Mirzakhani's frequencies of simple closed geodesics on hyperbolic surfaces in large genus and wit...
Irene Ren

From SALAMANDRA to SALAMANDRATA: BSC Submission for WMT25 General Machine Translation Shared Task
Javier Garcia Gilabert, Xixian Liao, Severino Da Dalt, Ella Bohman, Audrey Mash, Francesca De Luca Fornaciari, Irene Baucells, Joan Llop, Miguel Claramunt Argote, Carlos Escolano, Maite Melero
https://arxiv.org/abs/2508.12774

From SALAMANDRA to SALAMANDRATA: BSC Submission for WMT25 General Machine Translation Shared Task
In this paper, we present the SALAMANDRATA family of models, an improved iteration of SALAMANDRA LLMs (Gonzalez-Agirre et al., 2025) specifically trained to achieve strong performance in translation-related tasks for 38 European languages. SALAMANDRATA comes in two scales: 2B and 7B parameters. For both versions, we applied the same training recipe with a first step of continual pre-training on parallel data, and a second step of supervised fine-tuning on high-quality instructions. The BSC subm…

Electron-neutrino lepton number crossings: variations with the supernova core physics
Marie Cornelius (Niels Bohr Institute), Irene Tamborra (Niels Bohr Institute), Malte Heinlein (MPI Astrophysics, TUM), Shashank Shalgar (Niels Bohr Institute), Hans-Thomas Janka (MPI Astrophysics)
https://arxiv.org/abs/2507.13429

Electron-neutrino lepton number crossings: variations with the supernova core physics
A crucial ingredient affecting fast neutrino flavor conversion in core-collapse supernovae (SNe) is the shape of the angular distribution of the electron-neutrino lepton number (ELN). The presence of an ELN crossing signals favorable conditions for flavor conversion. However, the dependence of ELN crossings on the SN properties is only partially understood. We investigate a suite of 12 spherically symmetric neutrino-hydrodynamics simulations of the core collapse of a SN with a mass of $18.6 M_\…

Most Western African migrants remain local and travel short distances
Irene Tafani, Ola Ali, Rafael Prieto-Curiel, Massimo Riccaboni
https://arxiv.org/abs/2509.10314 https://

Most Western African migrants remain local and travel short distances
Migration patterns are complex and context-dependent, with the distances migrants travel varying greatly depending on socio-economic and demographic factors. While global migration studies often focus on Western countries, there is a crucial gap in our understanding of migration dynamics within the African continent, particularly in West Africa. Using data from over 60,000 individuals from eight West African countries, this study examines the determinants of migration distance in the region. Ou…

Moduli spaces of stable bundles on ruled 3-folds and Brill-Noether problems
Laura Costa, Irene Mac\'ias Tarr\'io
https://arxiv.org/abs/2507.06882 h…

Moduli spaces of stable bundles on ruled 3-folds and Brill-Noether problems
In this paper, we redefine the theory of walls and chambers due to Qin developing a new tool to study moduli spaces of stable rank 2 vector bundles on algebraic varieties of higher dimension. We apply it to describe components of some moduli spaces of rank 2 stable bundles on ruled 3-folds as well as to prove that some Brill-Noether loci are non-empty.

The Atacama Cosmology Telescope: High-redshift measurement of structure growth from the cross-correlation of Quaia quasars and CMB lensing from ACT DR6 and $\textit{Planck}$ PR4
Carmen Embil Villagra, Gerrit Farren, Giulio Fabbian, Boris Bolliet, Irene Abril-Cabezas, David Alonso, Anthony Challinor, Jo Dunkley, Joshua Kim, Niall MacCrann, Fiona McCarthy, Kavilan Moodley, Frank J. Qu, Blake Sherwin, Cristobal Sifon, Alexander van Engelen, Edward J. Wollack

The Atacama Cosmology Telescope: High-redshift measurement of structure growth from the cross-correlation of Quaia quasars and CMB lensing from ACT DR6 and $\textit{Planck}$ PR4
We measure the amplitude of matter fluctuations over a wide range of redshifts by combining CMB lensing observations from ACT DR6 and $\textit{Planck}$ PR4 with the overdensity of quasars from Quaia, a $\textit{Gaia}$ and $\textit{unWISE}$ quasar catalog. Our analysis includes the CMB lensing power spectrum from ACT DR6, the auto-correlation of two Quaia quasar samples centered at $z \simeq 1.0$ and $z \simeq 2.1$, and their cross-correlations with CMB lensing from both ACT DR6 and $\textit{Pla…

Accommodating the Analysis Model in Multiple Imputation for the Weibull Mixture Cure Model:Performance under Penalized Likelihood
Changchang Xu, Laurent Briollais, Irene L Andrulis, Shelley B Bull
https://arxiv.org/abs/2507.16690

Accommodating the Analysis Model in Multiple Imputation for the Weibull Mixture Cure Model:Performance under Penalized Likelihood
Introduction In analysis of time-to-event outcomes, a mixture cure (MC) model is preferred over a standard survival model when the sample includes individuals who will never experience the event of interest. Motivated by a cohort study of breast cancer patients with incomplete biomarkers, we develop multiple imputation (MI) methods assuming a Weibull proportional hazards (PH-MC) analysis model with multiple prognostic factors. However, for MI with fully conditional specification, an incorrectly…

Bridging Boundaries: How to Foster Effective Research Collaborations Across Affiliations in the Field of Trust and Safety
Amanda Menking, Mona Elswah, David J. Gr\"uning, Lasse H. Hansen, Irene Huang, Julia Kamin, Catrine Normann
https://arxiv.org/abs/2507.13008

Bridging Boundaries: How to Foster Effective Research Collaborations Across Affiliations in the Field of Trust and Safety
As the field of Trust and Safety in digital spaces continues to grow, it has become increasingly necessary - but also increasingly complex - to collaborate on research across the academic, industry, governmental and non-governmental sectors. This paper examines how cross-affiliation research partnerships can be structured to overcome misaligned incentives, timelines and constraints while delivering on the unique strengths of each stakeholder. Drawing on our own experience of cross-sector collab…

VeriGUI: Verifiable Long-Chain GUI Dataset
Shunyu Liu, Minghao Liu, Huichi Zhou, Zhenyu Cui, Yang Zhou, Yuhao Zhou, Wendong Fan, Ge Zhang, Jiajun Shi, Weihao Xuan, Jiaxing Huang, Shuang Luo, Fang Wu, Heli Qi, Qingcheng Zeng, Ziqi Ren, Jialiang Gao, Jindi Lv, Junjie Wang, Aosong Feng, Heng Zhou, Wangchunshu Zhou, Zhenfei Yin, Wenlong Zhang, Guohao Li, Wenhao Yu, Irene Li, Lei Ma, Lei Bai, Qunshu Lin, Mingli Song, Dacheng Tao

VeriGUI: Verifiable Long-Chain GUI Dataset
Recent studies have delved into constructing autonomous agents capable of performing complex Graphical User Interface (GUI)-based computer tasks, with the potential to revolutionize human-computer interaction. Despite encouraging results, existing efforts mainly focus on short-term interactions and rely on outcome-only verification, thereby limiting their scalability in real-world GUI applications that demand long-horizon task decomposition and execution. In this work, we introduce VeriGUI, a n…

JADES: the chemical enrichment pattern of distant galaxies - silicon depletion and iron enhancement
Yuki Isobe, Roberto Maiolino, Xihan Ji, Francesco D'Eugenio, Charlotte Simmonds, Jan Scholtz, Ignas Juod\v{z}balis, Aayush Saxena, Joris Witstok, Chiaki Kobayashi, Irene Vanni, Stefania Salvadori, Kuria Watanabe, Stephanie Monty, Vasily Belokurov, Anna Feltre, William McClymont, Sandro Tacchella, Mirko Curti, Hannah \"Ubler, St\'ephane Charlot, Andrew J. Bunker, Jacopo Cheva…

JADES: the chemical enrichment pattern of distant galaxies - silicon depletion and iron enhancement
We present gas-phase abundances of carbon (C), $α$-elements (O, Ne, Si, and Ar) and iron (Fe) obtained from stacked spectra of high-$z$ star-forming galaxies with the deep Near Infrared Spectrograph medium-resolution data from the James Webb Space Telescope Advanced Deep Extragalactic Survey. Our 564 sources at $z=4$--7 have a median stellar mass of $\log(M_{*}/M_{\odot})=8.46$ and a median star-formation rate of $\log(\mathrm{SFR}/M_{\odot}\,\mathrm{yr^{-1}})=0.30$, placing them close to the …

Replaced article(s) found for cs.DB. https://arxiv.org/list/cs.DB/new
[1/1]:
- MedPix 2.0: A Comprehensive Multimodal Biomedical Data set for Advanced AI Applications with Retr...
Irene Siragusa, Salvatore Contino, Massimo La Ciura, Rosario Alicata, Roberto Pirrone

Atomic thermometry in optical lattice clocks
Irene Goti, Tommaso Petrucciani, Stefano Condio, Filippo Levi, Davide Calonico, Marco Pizzocaro
https://arxiv.org/abs/2508.08164 htt…

Ferroelectric Epsilon-WO3 Nanoparticles and Its Bipolaron Driven Opto-electronic Properties at Room Temperature
Mohammad M. Rahaman, Jose Flores, Mohamed Y. Noor, Md Mohsinur R. Adnan, Alex Blackston, Enam Chowdhury, Roberto C. Myers, Michael Newburger, Pelagia-Irene Gouma
https://arxiv.org/abs/2508.02598

Ferroelectric Epsilon-WO3 Nanoparticles and Its Bipolaron Driven Opto-electronic Properties at Room Temperature
A unique polymorph of binary tungsten trioxide, the epsilon phase of WO3, has non-centrosymmetric ferroelectric structure, typically stable below -43 degree C in bulk. We have stabilized the epsilon-WO3 at room temperature (RT) and nanostructured powders via flame spray pyrolysis synthesis. These nanopowders are drop cast into uniform thin films to enable RT measurement of ferroelectric and optoelectronic properties. We report ferroelectric hysteresis, nanoscale domains, and dipole switching me…

The Close Binary Properties of Massive Stars across Different Environments within the LMC
Maxwell Moe, M. S. Oey, Irene Vargas-Salazar, Kaitlin M. Kratter
https://arxiv.org/abs/2508.20319

The Close Binary Properties of Massive Stars across Different Environments within the LMC
We analyze 4,859 O-stars in the OGLE-III photometric survey of the LMC, including 415 eclipsing binaries (EBs). After accounting for the geometrical probability of eclipses, the period distribution of O-type binaries across $P$ = 2.5-200 days follows a power-law $f_{\rm logP}$ $\propto$ (logP)$^Π$ with $Π$ = $-$0.34$\pm$0.06, which is skewed toward shorter periods compared to Opik's law ($Π$ = 0). We divide our O-stars into seven environments based on their clustering with B-stars and other …

$\Gamma$-convergence and stochastic homogenization for functionals in the $\mathcal{A}$-free setting
Gianni Dal Maso, Rita Ferreira, Irene Fonseca
https://arxiv.org/abs/2509.00726

$Γ$-convergence and stochastic homogenization for functionals in the $\mathcal{A}$-free setting
We obtain a compactness result for $Γ$-convergence of integral functionals defined on $\mathcal{A}$-free vector fields. This is used to study homogenization problems for these functionals without periodicity assumptions. More precisely, we prove that the homogenized integrand can be obtained by taking limits of minimum values of suitable minimization problems on large cubes, when the side length of these cubes tends to $+\infty$, assuming that these limit values do not depend on the center of …

Solving Polynomial Systems with Gr\"obner Bases: An Introduction to F4 and FGLM
Anna Maria Bigatti, Alessio Caminata, Tor Kristian Ellingsen, Evelina Lanteri, Andrea Sanguineti, Irene Villa
https://arxiv.org/abs/2509.03346

Solving Polynomial Systems with Gröbner Bases: An Introduction to F4 and FGLM
These notes originate from a reading course held by the authors in the spring of 2024 at the Università di Genova. They provide a hands-on introduction to the F4 and FGLM algorithms. In addition to the notes, we present two implementations of the algorithms: FGLM in CoCoALib and F4 in Sage. These implementations closely follow the structure of the algorithms as described here and are intended to help readers experiment with them in practice, thereby gaining a deeper understanding.

Sample-Aware Test-Time Adaptation for Medical Image-to-Image Translation
Irene Iele, Francesco Di Feola, Valerio Guarrasi, Paolo Soda
https://arxiv.org/abs/2508.00766 https://…

Sample-Aware Test-Time Adaptation for Medical Image-to-Image Translation
Image-to-image translation has emerged as a powerful technique in medical imaging, enabling tasks such as image denoising and cross-modality conversion. However, it suffers from limitations in handling out-of-distribution samples without causing performance degradation. To address this limitation, we propose a novel Test-Time Adaptation (TTA) framework that dynamically adjusts the translation process based on the characteristics of each test sample. Our method introduces a Reconstruction Module…

On the Birkhoff conjecture for Kepler billiards
Stefano Baranzini, Vivina L. Barutello, Irene De Blasi, Susanna Terracini
https://arxiv.org/abs/2507.08446 …

On the Birkhoff conjecture for Kepler billiards
We investigate the integrability of Kepler billiards-mechanical billiard systems in which a particle moves under the influence of a Keplerian potential and reflects elastically at the boundary of a strictly convex planar domain. Our main result establishes that, except possibly for one location of the gravitational center, analytic integrability at high energies occurs only when the domain is an ellipse and the center is placed at one of its foci. This provides a partial affirmative answer to a…

Quantum Markov Chain Monte Carlo for Cosmological Functions
Giuseppe Sarracino, Vincenzo Fabrizio Cardone, Roberto Scaramella, Giuseppe Riccio, Andrea Bulgarelli, Carlo Burigana, Luca Cappelli, Stefano Cavuoti, Farida Farsian, Irene Graziotti, Massimo Meneghetti, Giuseppe Murante, Nicol\`o Parmiggiani, Alessandro Rizzo, Francesco Schillir\`o, Vincenzo Testa, Tiziana Trombetti

Quantum Markov Chain Monte Carlo for Cosmological Functions
We present an implementation of Quantum Computing for a Markov Chain Monte Carlo method with an application to cosmological functions, to derive posterior distributions from cosmological probes. The algorithm proposes new steps in the parameter space via a quantum circuit whose resulting statevector provides the components of the shift vector. The proposed point is accepted or rejected via the classical Metropolis-Hastings acceptance method. The advantage of this hybrid quantum approach is that…

Replaced article(s) found for math.MG. https://arxiv.org/list/math.MG/new
[1/1]:
- On rectifiability of Delone sets in intermediate regularity
Irene Inoquio-Renteria, Rodolfo Viera

A DataOps Toolbox Enabling Continuous Semantic Integration of Devices for Edge-Cloud AI Applications
Mario Scrocca, Marco Grassi, Alessio Carenini, Jean-Paul Calbimonte, Darko Anicic, Irene Celino
https://arxiv.org/abs/2508.02708

A DataOps Toolbox Enabling Continuous Semantic Integration of Devices for Edge-Cloud AI Applications
The implementation of AI-based applications in complex environments often requires the collaboration of several devices spanning from edge to cloud. Identifying the required devices and configuring them to collaborate is a challenge relevant to different scenarios, like industrial shopfloors, road infrastructures, and healthcare therapies. We discuss the design and implementation of a DataOps toolbox leveraging Semantic Web technologies and a low-code mechanism to address heterogeneous data int…

Octo's Heartland: Supporting Children with Congenital Heart Disease through Digital Health Education
Irene Zeng, Neda Barbazi, Ji Youn Shin, Gurumurthy Hiremath, Carlye Anne Lauff
https://arxiv.org/abs/2509.02537

Octo's Heartland: Supporting Children with Congenital Heart Disease through Digital Health Education
Children with congenital heart disease (CHD) often face challenges that require them to understand complex medical information from an early age in order to support lifelong care and improve health outcomes. However, prior research has rarely included young children in designing and evaluating digital tools to support health education using developmentally appropriate strategies. This study is part of a multi-phase research involving participatory design (PD), user testing, and iterative develo…

In vivo imaging of central nervous system fluid spaces using synchrotron radiation-based micro computed tomography
Marta Girona Alarc\'on, Willy Kuo, Mattia Humbel, Christine Tanner, Luca Fardin, Britta Bausch, Yann Decker, Irene Spera, Griffin Rodgers, Hans Deyhle, Alberto Bravin, Masato Hoshino, Arash Panahifar, Kentaro Uesugi, Sergei Gasilov, Petr Pleska\v{c}, Yuansheng Zhang, Diane de Z\'elicourt, Amandine Brenna, Ahmad Kamal Hamid, Pooya Razzaghi Khamesi, Britta Engelhardt…

In vivo imaging of central nervous system fluid spaces using synchrotron radiation-based micro computed tomography
Current approaches to in vivo imaging of the mouse central nervous system (CNS) do not offer a combination of micrometer resolution and a whole-brain field of view. To address this limitation, we introduce an approach based on synchrotron radiation-based hard X-ray micro computed tomography (SR$μ$CT). We performed intravital SR$μ$CT acquisitions of mouse CNS fluid spaces at three synchrotron radiation facilities. Imaging was conducted on both anesthetized free-breathing and ventilated animals…

ALMA reveals diverse dust-to-gas mass ratios and quenching modes in old quiescent galaxies
Giuliano Lorenzon, Darko Donevski, Allison W. S. Man, Michael Romano, Katherine E. Whitaker, Sirio Belli, Daizhong Liu, Minju M. Lee, Desika Narayanan, Arianna Long, Irene Shivaei, Ambra Nanni, Krzysztof Lisiecki, Prasad Sawant, Giulia Rodighiero, Ivana Damjanov, Junais, Romeel Dave, Ciro Pappalardo, Christopher Lovell, Mahmoud Hamed

ALMA reveals diverse dust-to-gas mass ratios and quenching modes in old quiescent galaxies
Recent discoveries of dust and molecular gas in quiescent galaxies (QGs) up to $z\sim3$ challenge the long-standing view that the interstellar medium depletes rapidly once star formation ceases, raising key questions of whether dust and gas co-evolve in QGs, and how their depletion links to stellar aging. We present deep Atacama Large Millimeter/submillimeter Array (ALMA) Band~6 continuum and CO(3--2) observations of 17 QGs at $z\sim0.4$ in the COSMOS field. Using the dust-to-molecular gas mass…

Eliciting User Requirements for AI-Enhanced Learning Environments using a Participatory Approach
Bibeg Limbu, Irene-Angelica Chounta, Vilma Sukacke, Andromachi Filippidi, Chara Spyropoulou, Marianna Anagnostopoulou, Eleftheria Tsourlidaki, Nikos Karacapilidis
https://arxiv.org/abs/2507.21088

Eliciting User Requirements for AI-Enhanced Learning Environments using a Participatory Approach
This paper explores the needs \& expectations of educational stakeholders for AI (Artificial Intelligence)-enhanced learning environments. Data was collected following two-phased participatory workshops. The first workshop outlined stakeholders' profiles in terms of technical and pedagogical characteristics. The qualitative data collected was analysed using deductive thematic analysis with Activity Theory, explicating the user needs. The second workshop articulated expectations related to the i…

Mechanical characterization of pharmaceutical powders and correlation with their behavior during grinding
Laura Baraldi, Davide De Angelis, Roberto Bosi, Roberto Pennini, Irene Bassanetti, Andrea Benassi, Guido Enrico Bellazzi
https://arxiv.org/abs/2508.02767

Mechanical characterization of pharmaceutical powders and correlation with their behavior during grinding
Controlling the size of powder particles is pivotal in the design of many pharmaceutical forms and the related manufacturing processes and plants. One of the most common techniques for particle size reduction in process industry is powder milling, whose efficiency relates to the mechanical properties of powder particles themselves. In this work, we first characterize the elastic and plastic response of different pharmaceutical powders by measuring their Young modulus, the hardness and the britt…

The Diversity and Evolution of Dust Attenuation Curves from Redshift z ~ 1 to 9
Irene Shivaei, Rohan P. Naidu, Francisco Rodr\'iguez Montero, Kosei Matsumoto, Joel Leja, Jorryt Matthee, Benjamin D. Johnson, Pascal A. Oesch, Jacopo Chevallard, Angela Adamo, Sarah Bodansky, Andrew J. Bunker, Alba Covelo Paz, Claudia Di Cesare, Eiichi Egami, Lukas J. Furtak, Kasper E. Heintz, Ivan Kramarenko, Romain A. Meyer, Naveen A. Reddy, Pierluigi Rinaldi, Sandro Tacchella, Alberto Torralba, Jori…

The Diversity and Evolution of Dust Attenuation Curves from Redshift z ~ 1 to 9
The UV-optical dust attenuation curve is key to interpreting the intrinsic properties of galaxies and provides insights into the nature of dust grains and their geometry relative to stars. In this work, we constrain the UV-optical slope of the stellar attenuation curve using a spectroscopic-redshift sample of ~3300 galaxies at z~1-9, to characterize the diversity and redshift evolution of stellar attenuation curves and to gain insight into dust production and evolution at high redshifts. The sa…

The Lockman-SpReSO project. Spectroscopic analysis of Type 1 AGN
Castalia Alenka Negrete, Hector J. Ibarra-Medel, Erika Benitez, Irene Cruz-Gonzalez, Yair Krongold, J. Jesus Gonzalez, Jordi Cepa, Carmen Padilla-Torres, Miguel Cervino, Mirjana Povic, Martin Herrera-Endoqui, Nancy Jenaro-Ballesteros, Takamitsu Miyaji, Mauricio Elias-Chavez, Miguel Sanchez-Portal, Bernabe Cedres, Jacub Nadolny, Mauro Gonzalez-Otero, Bereket Assefa, Hector Hernandez-Toledo, J. Antonio de Diego, J. Ignacio …

The Lockman-SpReSO project. Spectroscopic analysis of Type 1 AGN
We present the first optical-UV spectral systematic analysis of 30 Type 1 AGN selected in the FIR and X-ray in the Lockman-SpReSO Survey. The sample of faint objects (m_B = 19.6-21.8) covers a large redshift range of 0.33 > z > 4.97 with high S/N (~21 on average). A detailed spectral analysis based on the Quasar Main Sequence phenomenology prescription was applied to deblend the principal optical-UV emitting regions. Our sample spans a bolometric luminosity range of 44.85 < log Lbol < 47.87, ab…

Polycyclic Aromatic Hydrocarbons (PAHs) in the High-redshift Universe: Prospect of the PRIMA FIRESS low-resolution spectroscopy
Ilsang Yoon, Brandon Hensley, Thomas S. -Y. Lai, Irene Shivaei, Ismael Garcia-Bernete, Grant P. Donnelly, Alexandra Pope, J. D. T. Smith, Paul Torrey
https://arxiv.org/abs/2509.02470…

Polycyclic Aromatic Hydrocarbons (PAHs) in the High-redshift Universe: Prospect of the PRIMA FIRESS low-resolution spectroscopy
The integrated luminosity from the features of the polycyclic aromatic hydrocarbons (PAHs) exceeds the luminosity from atomic and molecular emission lines in the star-forming regions in galaxies and is a potential tracer of galaxy-scale star formation and molecular gas content of the high-redshift universe. We simulate the observable PAH spectra using the PRobe far-Infrared Mission for Astrophysics far-infrared enhanced survey spectrometer (FIRESS) and investigate the capability of the FIRESS l…

Breaking Through the Cosmic Fog: JWST/NIRSpec Constraints on Ionizing Photon Escape in Reionization-Era Galaxies
Emma Giovinazzo, Pascal A. Oesch, Andrea Weibel, Romain A. Meyer, Callum Witten, Aniket Bhagwat, Gabriel Brammer, John Chisholm, Anna de Graaff, Rashmi Gottumukkala, Michelle Jecmen, Harley Katz, Joel Leja, Rui Marques-Chaves, Michael Maseda, Irene Shivaei, Maxime Trebitsch, Anne Verhamme

Breaking Through the Cosmic Fog: JWST/NIRSpec Constraints on Ionizing Photon Escape in Reionization-Era Galaxies
The escape fraction of Lyman continuum photons (fesc(LyC)) is the last key unknown in our understanding of cosmic reionization. Directly estimating the escape fraction (fesc) of ionizing photons in the epoch of reionization (EoR) is impossible, due to the opacity of the intergalactic medium (IGM). However, a high fesc leaves clear imprints in the spectrum of a galaxy, due to reduced nebular line and continuum emission, which also leads to bluer UV continuum slopes (betaUV). Here, we exploit the…