March 2025 arXiv papers — page 42

A. Mura, R. Lopes, F. Nimmo, S. Bolton

On December 27, 2024, Juno's JIRAM infrared experiment observed an unprecedented volcanic event on Io's southern hemisphere, covering a vast region of ~ 65,000 square km, near 73{\deg}S, 140{\deg}E. The total power output is estimated between 140 and 260 TW, potentially the most intense ever recorded, surpassing the brightest eruption at Surt in 2001 (~80 TW

Laura Gardini, Davide Radi, Noemi Schmitt, Iryna Sushko

Piecewise smooth systems are intensively studied today in many application areas, such as economics, finance, engineering, biology, and ecology. In this work, we consider a class of one-dimensional piecewise linear discontinuous maps with a finite number of partitions and functions sharing the same real fixed point. We show that the dynamics of this class of

Vendula Hrncirova, Marketa Slapal Barinkova, Muhammad Qamar, Katerina Kolarova

The combination of nanodiamonds with plasmonic metal particles is being explored for synergic effects that can enhance biosensing and antibacterial treatments, energy harvesting, photocatalysis, and quantum centres. Here we systematically investigate the formation and plasmonic properties of complexes assembled in colloidal mixtures of 20 nm gold or silver n

Dimitrios Betsakos, Argyrios Christodoulou

Let $(\phi_t)$, $t\ge 0$, be a semigroup of holomorphic self-maps of the unit disk $\mathbb{D}$. Let $\Omega$ be its Koenigs domain and $\tau\in \partial \mathbb{D}$ be its Denjoy-Wolff point. Suppose that $0\in \Omega$ and let $\Omega^\sharp$ be the Steiner symmetrization of $\Omega$ with respect to the real axis. Consider the semigroup $(\phi_t^\sharp)$ wi

Farzan Moodi, Fereshteh Khodadadi Shoushtari, Gelareh Valizadeh, Dornaz Mazinani

Accurate segmentation of glioma brain tumors is crucial for diagnosis and treatment planning. Deep learning techniques offer promising solutions, but optimal model architectures remain under investigation. We used the BraTS 2021 dataset, selecting T1 with contrast enhancement (T1CE), T2, and Fluid-Attenuated Inversion Recovery (FLAIR) sequences for model dev

ATLAS Collaboration

A search for events with one displaced vertex from long-lived particles using data collected by the ATLAS detector at the Large Hadron Collider is presented, using 140 fb$^{-1}$ of proton-proton collision data at $\sqrt{s} = 13$ TeV recorded in 2015-2018. The search employs techniques for reconstructing vertices of long-lived particles decaying into hadronic

Alexandre M. Pombo

Black holes (BH) are among the most unusual and exciting physical objects. Besides being simultaneously Relativistic and quantum mechanical objects, which allows the discovery and/or tests of new physics, BHs also present a lack of "individuality". As a recall, if two stars have the same mass M and angular momentum J, nothing binds them to be distributed in

Antonio De Benedittis, Pasquale Migliozzi, Carlos Maximiliano Mollo, Andreino Simonelli

In astroparticle experiments, photomultiplier tubes are crucial for detecting Cherenkov radiation emitted by charged particles, owing to their exceptional sensitivity to low-intensity light, which is essential for studying high-energy phenomena associated with astrophysical neutrinos. However, due to their high sensitivity, PMTs are vulnerable to significant

Georg Schäfer, Tatjana Krau, Jakob Rehrl, Stefan Huber

Reinforcement Learning (RL) offers promising solutions for control tasks in industrial cyber-physical systems (ICPSs), yet its real-world adoption remains limited. This paper demonstrates how seemingly small but well-designed modifications to the RL problem formulation can substantially improve performance, stability, and sample efficiency. We identify and i

Chuan-Qi He, Hongxi Xing, Tong-Zhi Yang, Hua Xing Zhu

Single-inclusive hadron production in electron-positron annihilation (SIA) represents the cleanest process for investigating the dynamics of parton hadronization, as encapsulated in parton fragmentation functions. In this letter, we present, for the first time, the analytical computation of Quantum Chromodynamics (QCD) corrections to the coefficient function

Phapaengmuang Sukkasem, Supanut Chaidee, Watit Khokthong

Given a set of $n$ nonoverlapping circular discs on a plane, we aim to determine possible positions of points (referred to as cameras) that could fully illuminate all the circular discs' boundaries. This work presents a geometric approach for determining feasible camera positions that would provide total illumination of all circular discs. The Laguerre Delau

Giacomo Del Nin, Lucia De Luca

We consider a variant of the sticky disk energy where distances between particles are evaluated through the sup norm $\lVert\cdot\rVert_\infty$ in the plane. We first prove crystallization of minimizers in the square lattice, for any fixed number $N$ of particles. Then we consider the limit as $N\to\infty$: in contrast to the standard sticky disk, there is o

Christoph Berkholz, Harry Vinall-Smeeth

A common theme in factorised databases and knowledge compilation is the representation of solution sets in a useful yet succinct data structure. In this paper, we study the representation of the result of join queries (or, equivalently, the set of homomorphisms between two relational structures). We focus on the very general format of $\{\cup, \times\}$-circ

Nick Dewaele

We study a broad class of numerical problems that can be defined as the solution of a system of (nonlinear) equations for a subset of the dependent variables. Given a system of the form $F(x,y,z) = c$ with multivariate input $x$ and dependent variables $y$ and $z$, we define and give concrete expressions for the condition number of solving for a value of $y$

Muxin Pu, Mei Kuan Lim, Chun Yong Chong

Sign language recognition (SLR) refers to interpreting sign language glosses from given videos automatically. This research area presents a complex challenge in computer vision because of the rapid and intricate movements inherent in sign languages, which encompass hand gestures, body postures, and even facial expressions. Recently, skeleton-based action rec

Bao-Dong Sun

The proton to $\Delta^+$ resonance transitional gravitational form factors are calculated to leading one-loop order using chiral perturbation theory in our recent work [1]. We take into account the leading electromagnetic and strong isospin-violating effects to obtain non-vanishing contributions. The loop contributions to the transition form factors are foun

Alexander Koebler, Ingo Thon, Florian Buettner

To ensure the trustworthiness and interpretability of AI systems, it is essential to align machine learning models with human domain knowledge. This can be a challenging and time-consuming endeavor that requires close communication between data scientists and domain experts. Recent leaps in the capabilities of Large Language Models (LLMs) can help alleviate

Tian-Cheng Luan, Xin Wang, Jiacheng Ding, Qian Li

Radio observation of the large-scale structure (LSS) of our Universe faces major challenges from foreground contamination, which is many orders of magnitude stronger than the cosmic signal. While other foreground removal techniques struggle with complex systematics, methods like foreground avoidance emerge as effective alternatives. However, this approach in

Thomas Chuna, Nicholas Barnfield, Jan Vorberger, Michael P. Friedlander

Understanding the dynamic properties of the uniform electron gas (UEG) is important for numerous applications ranging from semiconductor physics to exotic warm dense matter. In this work, we apply the maximum entropy method (MEM), as implemented in Chuna \emph{et al.}~[arXiv:2501.01869], to \emph{ab initio} path integral Monte Carlo (PIMC) results for the im

Deniz Aybas, Francesca Calore, Michele Cicoli, María Benito

Axions and other very weakly interacting slim (with $m <$ 1 GeV) particles (WISPs) are a common feature of several extensions of the Standard Model of Particle Physics. The search of WISPs was already recommended in the last update of the European strategy on particle physics (ESPP). After that, the physics case for WISPs has gained additional momentum. Inde

Rohit Goswami, Ashwini Kumar Rawat, Sonaly Goswami, Debabrata Goswami

Femtosecond thermal lens spectroscopy (FTLS) is a powerful analytical tool, yet its application to complex, multi-component mixtures like fragrance accords remains limited. Here, we introduce and validate a unified metric, the Femtosecond Thermal Lens Integrated Magnitude (FTL-IM), to characterize such mixtures. The FTL-IM, derived from the integrated signal

Sichun Luo, Jian Xu, Xiaojie Zhang, Linrong Wang

Large Language Models (LLMs) have been integrated into recommender systems to enhance user behavior comprehension. The Retrieval Augmented Generation (RAG) technique is further incorporated into these systems to retrieve more relevant items and improve system performance. However, existing RAG methods have two shortcomings. \textit{(i)} In the \textit{retrie

Guilherme Fernandes, Vasco Ramos, Regev Cohen, Idan Szpektor

While diffusion models excel at generating high-quality images from text prompts, they struggle with visual consistency when generating image sequences. Existing methods generate each image independently, leading to disjointed narratives - a challenge further exacerbated in non-linear storytelling, where scenes must connect beyond adjacent images. We introdu

F. Xavier Gaya-Morey, Cristina Manresa-Yee, Célia Martinie, Jose M. Buades-Rubio

This study investigates the key characteristics and suitability of widely used Facial Expression Recognition (FER) datasets for training deep learning models. In the field of affective computing, FER is essential for interpreting human emotions, yet the performance of FER systems is highly contingent on the quality and diversity of the underlying datasets. T

Oleksandr Povitchan, Denys I. Bondar, Andrii G. Sotnikov

We demonstrate that quantum Lyapunov control provides an effective strategy for enhancing superconducting correlations in the Fermi-Hubbard model without requiring careful parameter tuning. While photoinduced superconductivity is sensitive to the frequency and amplitude of a monochromatic laser pulse, our approach employs a simple feedback-based protocol tha

Kevin Alcedo, Pedro U. Lima, Rachid Alami

Navigating in environments alongside humans requires agents to reason under uncertainty and account for the beliefs and intentions of those around them. Under a sequential decision-making framework, egocentric navigation can naturally be represented as a Markov Decision Process (MDP). However, social navigation additionally requires reasoning about the hidde

Riccardo Grazi, Fabio Cavaliere, Maura Sassetti, Dario Ferraro

The performances of many-body quantum batteries strongly depend on the Hamiltonian of the battery, the initial state, and the charging protocol. In this article we derive an analytical expression for the energy stored via a double sudden quantum quench in a large class of quantum systems whose Hamiltonians can be reduced to 2x2 free fermion problems, whose i

G. Catalan, A. Gruverman, J. Íñiguez-González, D. Meier

Antiferroelectrics attract broad attention due to their unusual physical characteristics, chief among which is the double-hysteresis loop that separates their antipolar ground state from the voltage-induced polar phase, which is promising for applications in energy storage and electrocaloric cooling. However, their defining features (antipolar ground state a

B. A. Kniehl, V. N. Velizhanin

We consider the anomalous dimension of the flavor non-singlet twist-two quark operator of arbitrary Lorentz spin N at four loops in QCD and construct its contribution proportional to zeta(3) in analytic form by applying advanced methods of number theory on the available knowledge of low-N moments. In conjunction with similar results on the zeta(5) and zeta(4

Tom Kempton, Stuart Burrell, Connor Cheverall

Existing methods for the zero-shot detection of machine-generated text are dominated by three statistical quantities: log-likelihood, log-rank, and entropy. As language models mimic the distribution of human text ever closer, this will limit our ability to build effective detection algorithms. To combat this, we introduce a method for detecting machine-gener

Sofia Zanelli, Silvia Perri, Martina Condoluci, Pierluigi Veltri

The role of kinetic electrons in the excitation and sustainment of ion-bulk electrostatic waves in collisionless plasmas is investigated, with a focus on the physical mechanisms responsible for the generation of small-scale structures in space plasmas. Building on the work of F. Valentini et al., PRL, 106, 165002 (2011), we numerically solve the Vlasov-Poiss

Andreas Gilson, Peter Pietrzyk, Chiara Paglia, Annika Killer

This paper is part of a publication series from the For5G project that has the goal of creating digital twins of sweet cherry trees. At the beginning a brief overview of the revious work in this project is provided. Afterwards the focus shifts to a crucial problem in the fruit farming domain: the difficulty of making reliable yield predictions early in the s

Ji Woo Hong, Tri Ton, Trung X. Pham, Gwanhyeong Koo

This paper introduces ITA-MDT, the Image-Timestep-Adaptive Masked Diffusion Transformer Framework for Image-Based Virtual Try-On (IVTON), designed to overcome the limitations of previous approaches by leveraging the Masked Diffusion Transformer (MDT) for improved handling of both global garment context and fine-grained details. The IVTON task involves seamle

Zhenghan Yu, Xinyu Hu, Xiaojun Wan

Humor plays a significant role in daily language communication. With the rapid development of large language models (LLMs), natural language processing has made significant strides in understanding and generating various genres of texts. However, most LLMs exhibit poor performance in generating and processing Chinese humor. In this study, we introduce a comp

André Chatel, Roberto Russo, Luca Mazzone, Quentin Boinay

Superconducting microwave resonators have recently gained a primary importance in the development of cryogenic applications, such as circuit quantum electrodynamics, electron spin resonance spectroscopy and particles detection for high-energy physics and astrophysics. In this work, we investigate the influence of the film thickness on the temperature respons

B. Reinoso, M. A. Latif, D. R. G. Schleicher

The James Webb Space Telescope (JWST) has revealed a population of active galactic nuclei (AGNs) that challenge existing black hole (BH) formation models. These newly observed BHs seem overmassive compared to the host galaxies and have an unexpectedly high abundance. Their exact origin remains elusive. The primary goal of this work is to investigate the form

Antonio Maratea, Rita Perna

Adequate sampling space coverage is the keystone to effectively train trustworthy Machine Learning models. Unfortunately, real data do carry several inherent risks due to the many potential biases they exhibit when gathered without a proper random sampling over the reference population, and most of the times this is way too expensive or time consuming to be

Kevin Kappelmann

We present a framework for tree-based proof search, called Zippy. Unlike existing proof search tools, Zippy is largely independent of concrete search tree representations, search-algorithms, states and effects. It is designed to create analysable and navigable proof searches that are open to customisation and extensions by users. Zippy is founded on concepts

Yuta Yoshimoto, Naoki Matsumura, Meguru Yamazaki, Yuto Iwasaki

Machine learning interatomic potentials (MLIPs) can achieve near density-functional-theory (DFT) accuracy at force-field computational cost; however, long-time, large-scale molecular dynamics (MD) simulations often fail when trajectories sample local atomic environments that are underrepresented in the training set. Here, we employ an active-learning workflo

Zakaria Said, Marina Cagnon Trouche, Antoine Borel, Mohamed-Raouf Amara

Quantum emitters of single indistinguishable photons play a key role in quantum technologies. Among condensed matter systems, colloidal perovskite quantum dots have emerged as promising candidates, exhibiting high-purity single photon emission at room temperature and two-photon interference visibilities up to 0.5 at cryogenic temperatures. Achieving determin

Akylas Stratigakos, Panagiotis Andrianesis

Short-term forecasting models typically assume the availability of input data (features) when they are deployed and in use. However, equipment failures, disruptions, cyberattacks, may lead to missing features when such models are used operationally, which could negatively affect forecast accuracy, and result in suboptimal operational decisions. In this paper

Mohammed-Younes Gueddari, Walid Hachem, Jamal Najim

Approximate Message Passing (AMP) algorithms are a family of iterative algorithms based on large random matrices with the special property of tracking the statistical properties of their iterates. They are used in various fields such as Statistical Physics, Machine learning, Communication systems, Theoretical ecology, etc. In this article we consider AMP alg

Chukwudalu Okafor, Ahmad Sayyadi-Shahraki, Sebastian Bruns, Till Frömling

Modern functional oxides are mainly engineered by doping, essentially by tuning the defect chemistry. Recent studies suggest that dislocations offer a new perspective for enhancing the mechanical and physical properties of ceramic oxides. This raises the question regarding the interaction between dislocations and point defects in ceramics. Here, we report th

Yuanke Feng, Shumpei Fujimura, Yiheng Lim, Thitiya Seesan

Dynamic optical coherence tomography (DOCT) enables label-free functional imaging by capturing temporal OCT signal variations caused by intracellular and intratissue motions. However, the relationship between DOCT signals and the sample motion behind them remains unclear. This paper presents a comprehensive DOCT simulation framework that incorporates mathema

Marc Satkowski, Weizhou Luo, Rufat Rzayev

This position paper addresses the fallacies associated with the improper use of affordances in the opportunistic design of augmented reality (AR) applications. While opportunistic design leverages existing physical affordances for content placement and for creating tangible feedback in AR environments, their misuse can lead to confusion, errors, and poor use

Daria Saltykova, Daniel A. Bobylev, Maxim A. Gorlach

Tellegen response is a nonreciprocal effect which couples electric and magnetic responses of the medium and enables unique optical properties. Here, we develop a semi-analytical model of a Tellegen particle made of magneto-optical material and explicitly compute its magnetoelectric polarizability. We demonstrate that it could substantially exceed the geometr

Adrian Villalobos, Iban Barrutia, Rafael Pena-Alzola, Tomislav Dragicevic

Semiconductor devices, especially MOSFETs (Metal-oxide-semiconductor field-effect transistor), are crucial in power electronics, but their reliability is affected by aging processes influenced by cycling and temperature. The primary aging mechanism in discrete semiconductors and power modules is the bond wire lift-off, caused by crack growth due to thermal f

Christian Frydendahl, Torgom Yezekyan, Vladimir A. Zenin, Sergey I. Bozhevolnyi

Incorporating on-chip light sources directly into nanophotonic waveguides generally requires introducing a different material to the chip than that used for guiding the light, a crucial step that requires dealing with several technical challenges, e.g., atomic lattice mismatch in epitaxial growth between substrate and luminescent materials resulting in strai

Antoine Caillebotte, Estelle Kuhn, Sarah Lemler

We consider nonlinear mixed effects models including high-dimensional covariates to model individual parameters variability. The objective is to identify relevant covariates among a large set under sparsity assumption and to estimate model parameters. To face the high dimensional setting we consider a regularized estimator namely the maximum likelihood estim

Rita T. Sousa, Heiko Paulheim

Gene expression datasets offer insights into gene regulation mechanisms, biochemical pathways, and cellular functions. Additionally, comparing gene expression profiles between disease and control patients can deepen the understanding of disease pathology. Therefore, machine learning has been used to process gene expression data, with patient diagnosis emergi

Paul Martin, Sarah Mercer

Organisations are rapidly adopting artificial intelligence (AI) tools to perform tasks previously undertaken by people. The potential benefits are enormous. Separately, some organisations deploy personnel security measures to mitigate the security risks arising from trusted human insiders. Unfortunately, there is no meaningful interplay between the rapidly e

Nicola Bena, Claudia Diamantini, Michela Natilli, Luigi Romano

The proceedings of Workshop Scientific HPC in the pre-Exascale era (SHPC), held in Pisa, Italy, September 18, 2024, are part of 3rd Italian Conference on Big Data and Data Science (ITADATA2024) proceedings (arXiv: 2503.14937). The main objective of SHPC workshop was to discuss how the current most critical questions in HPC emerge in astrophysics, cosmology,

Yan Liu, Chuan-Yi Wang, You-Jie Zeng

We study energy transport in a system of two dimensional conformal field theories exchanging energy across a non-conformal interface involving a localised scalar operator, using holographic duality. By imposing the sourceless boundary condition, or equivalently, enforcing energy conservation at the interface, we show that the sum of the transmission and refl

Mahbod Nouri, David Rotermund, Alberto Garcia-Ortiz, Klaus R. Pawelzik

The brain uses positive signals as a means of signaling. Forward interactions in the early visual cortex are also positive, realized by excitatory synapses. Only local interactions also include inhibition. Non-negative matrix factorization (NMF) captures the biological constraint of positive long-range interactions and can be implemented with stochastic spik

Jean-Marc Azaïs, Céline Delmas

In large dimension, we study the asymptotic behavior of the mean number of critical points with index k below a level u for an isotropic centered Gaussian random field defined on a family of subsets of $R^d$ depending on d. We prove the existence of three regimes depending on the speed of growth of the volume the parameter set. In the first regime the mean n

Ryo Terasawa, Masahiro Takada, Sunao Sugiyama, Toshiki Kurita

Different cosmological probes, such as primary cosmic microwave background (CMB) anisotropies, CMB lensing, and cosmic shear, are sensitive to the primordial power spectrum (PPS) over different ranges of wavenumbers. In this paper, we combine the cosmic shear two-point correlation functions measured from the Subaru Hyper Suprime-Cam (HSC) Year 3 data with th

Alejandro García, Joan Porti

We study projective deformations of (topologically finite) hyperbolic 3-orbifolds whose ends have turnover cross section. These deformations are examples of projective cusp openings, meaning that hyperbolic cusps are deformed in the projective setting such that they become totally geodesic generalized cusps with diagonal holonomy. We find that this kind of s

Tianqi He, Xiaohan Huang, Yi Du, Qingqing Long

Feature Transformation is crucial for classic machine learning that aims to generate feature combinations to enhance the performance of downstream tasks from a data-centric perspective. Current methodologies, such as manual expert-driven processes, iterative-feedback techniques, and exploration-generative tactics, have shown promise in automating such data e

Sebastian Fuchs, Carsten Limbach, Patrick B. Langthaler

A coefficient is introduced that quantifies the extent of separation of a random variable $Y$ relative to a number of variables $\mathbf{X} = (X_1, \dots, X_p)$ by skillfully assessing the sensitivity of the relative effects of the conditional distributions. The coefficient is as simple as classical dependence coefficients such as Kendall's tau, also require

Tohid Kargar Tasooji, Sakineh Khodadadi, Guangjun Liu

Autonomous Micro Aerial Vehicles (MAVs), particularly quadrotors, have shown significant potential in assisting humans with tasks such as construction and package delivery. These applications benefit greatly from the use of cables for manipulation mechanisms due to their lightweight, low-cost, and simple design. However, designing effective control and plann

Vineet Pandey, Prasenjit Ghosh, Riju Pal, Sourav Paul

Large-angle twisted bilayer graphene (TBLG) realizes a multicomponent quantum Hall (QH) platform of spin, valley and layer pseudospins with strong Coulomb interaction-driven symmetry broken phases. Here, we investigate the low energy Landau-level spectrum of layer-decoupled TBLG and identify skyrmion-textured charged excitations and a field-induced insulatin

Joel Kiskola, Henrik Rydenfelt, Thomas Olsson, Lauri Haapanen

The emergence of Generative AI features in news applications may radically change news consumption and challenge journalistic practices. To explore the future potentials and risks of this understudied area, we created six design fictions depicting scenarios such as virtual companions delivering news summaries to the user, AI providing context to news topics,

Nathanaël Boutillon, François Hamel, Lionel Roques

We focus on the persistence and spreading properties for a heterogeneous Fisher-KPP equation with advection. After reviewing the different notions of persistence and spreading speeds, we focus on the effect of the direction of the advection term, denoted by $b$. First, we prove that changing $b$ to $-b$ can have an effect on the spreading speeds and the abil

Yuge Chen, Hui Yu, Yun-Peng Huang, Zhen-Yu Zheng

Systems hosting flat bands offer a powerful platform for exploring strong correlation physics. Theoretically topological degeneracy rising in systems with non-trivial topological orders on periodic manifolds of non-zero genus can generate ideal flat bands. However, experimental realization of such geometrically engineered systems is very difficult. In this w

Dimitrios Betsakos, Francisco J. Cruz-Zamorano, Konstantinos Zarvalis

Let $(\phi_t)$ be a continuous semigroup of holomorphic self-maps of the unit disk $\mathbb{D}$ with Denjoy-Wolff point $\tau\in\overline{\mathbb{D}}$. We study the rate of convergence of the forward orbits of $(\phi_t)$ to the Denjoy-Wolff point by finding explicit bounds for the quantity $|\phi_t(z)-\tau|$, $z\in\overline{\mathbb{D}}$, $t > 0$. We further

J. A. Morkowski, G. Chełkowska, M. Werwiński, A. Szajek

The room temperature X-ray photoemission spectrum of the ferromagnetic compound UCu$_2$Si$_2$ (T$_C$ = 100 K) was measured using an Al K$_{\alpha}$ source. Related theoretical spectra were computed from densities of electronic states obtained in the local density approximation (LDA), the generalized gradient approximation (GGA), and using the GGA+U method. T

A. T. Stevenson, C. A. Haswell, J. P. Faria, J. R. Barnes

We examine the eccentricity distribution(s) of radial velocity detected exoplanets. Previously, the eccentricity distribution was found to be described well by a Beta distribution with shape parameters $a=0.867, b=3.03$. Increasing the sample size by a factor of 2.25, we find that the CDF regression method now prefers a mixture model of Rayleigh + Exponentia

Rongyu Zhang, Menghang Dong, Yuan Zhang, Liang Heng

Multimodal Large Language Models (MLLMs) excel in understanding complex language and visual data, enabling generalist robotic systems to interpret instructions and perform embodied tasks. Nevertheless, their real-world deployment is hindered by substantial computational and storage demands. Recent insights into the homogeneous patterns in the LLM layer have

Rixin Fang

It is known that the truncated Brown--Peterson spectra can be equipped with a certain nice algebra structure, by the work of J. Hahn and D. Wilson, and these ring spectra can be viewed as rings of integers of local fields in chromatic homotopy theory. Furthermore, they satisfy both Rognes' redshift conjecture and the Lichtenbaum--Quillen property. For lower-

Chunshan Li, Rong Wang, Xiaofei Yang, Dianhui Chu

High-resolution remote sensing analysis faces challenges in global context modeling due to scene complexity and scale diversity. While CNNs excel at local feature extraction via parameter sharing, their fixed receptive fields fundamentally restrict long-range dependency modeling. Vision Transformers (ViTs) effectively capture global semantic relationships th

Emeric Bouin, Jérôme Coville

In this paper, we focus on the existence of propagation fronts, solutions to non-local dispersion reaction models. Our aim is to provide a unified proof of this existence in a very broad framework using simple real analysis tools. In particular, we review the results that already exist in the literature and complete the table. It appears that the most import

Christophe Cuny, Jérôme Dedecker, Florence Merlevède

We consider a field $f \circ T_1^{i_1} \circ \cdots \circ T_d^{i_d}$ where $T_1, \dots , T_d$ arecommuting transformations, one of them at least being ergodic. Considering the case of commuting filtrations, we are interested by giving sufficient ${\mathbb L}^1$-projective conditions ensuring that the normalized partial sums indexed by quadrants converge in d

Javaid Tantry, Ajay Sharma, Zahir Shah, Naseer Iqbal

This work present the results of a multi-epoch observational study of the blazar S5\,1803+784, carried out from 2019 to 2023. The analysis is based on simultaneous data obtained from the Swift/UVOT/XRT, ASAS-SN, and Fermi-LAT instruments. A historically high $\gamma$-ray flux observed for this source on march 2022 ($\mathrm{2.26\pm0.062)\times10^{-6}~phcm^{-

Alexander Fradkov

The problem of suboptimality under bounded disturbances for the adaptive systems based on speed-graadient approach is discussed. A formulation of the estimated optimality of nonlinear nonlinearly parametrized adaptive control systems is given and sufficient conditions for the estimated optimality in a specified uncertainty class are described for algorithms

Heng Liao, Bingyang Liu, Xianping Chen, Zhigang Guo

As the Large-scale Language Models (LLMs) continue to scale, the requisite computational power and bandwidth escalate. To address this, we introduce UB-Mesh, a novel AI datacenter network architecture designed to enhance scalability, performance, cost-efficiency and availability. Unlike traditional datacenters that provide symmetrical node-to-node bandwidth,

Dun Zhang, Panxiang Zou, Yudong Zhou

This technical report presents the training methodology and evaluation results of the open-source dewey_en_beta embedding model. The increasing demand for retrieval-augmented generation (RAG) systems and the expanding context window capabilities of large language models (LLMs) have created critical challenges for conventional embedding models. Current approa

François Dumas, François Martin, Emmanuel Royer

The notion of double depth associated with quasi-Jacobi forms allows distinguishing,within the algebra of quasi-Jacobi singular forms of index zero, certain significant subalgebras (modular-type forms, elliptic-type forms, Jacobi forms). We study the stability of these subalgebras under the derivations of the algebra of quasi-Jacobi singular forms of index z

Louise Robert, Laurine Moniez, Quentin Luzurier, David Morquin

Introduced in the early 2010s, Electronic Health Records (EHRs) have become ubiquitous in hospitals. Despite clear benefits, they remain unpopular among healthcare professionals and present significant challenges. Positioned at the intersection of Health Information Systems studies, Computer Supported Collaborative Work (CSCW), Service Design, and Participat

Emile Guélard-Ancilotti, Damien Sous, Denis Morichon, Patrick Marsaleix

In order to understand and predict coastal flooding processes in rocky environments, it is necessary to take into account bottom roughness, which plays a key role in wave transformation processes and in general coastal dynamics. The present work aims to implement a parameterisation of roughness-induced dissipation in 3D non-hydrostatic phase-resolved wave mo

Emile Guélard-Ancilotti, Damien Sous, Denis Morichon, Patrick Marsaleix

Rough rocky seabeds dominate world's coastlines, making accurate modeling of wave transformation in such environments essential for understanding coastal processes and hazards. Wave breaking and friction are critical drivers of wave dissipation over rough seabeds, especially in the surf zone. Phase-resolved wave models, often relying on classical bed shear s

Jaya Agnihotri, Deepak Bhoriya, Harish Kumar, Praveen Chandrashekar

Two-fluid relativistic plasma flow equations combine the equations of relativistic hydrodynamics with Maxwell's equations for electromagnetic fields, which involve divergence constraints for the magnetic and electric fields. When developing numerical schemes for the model, the divergence constraints are ignored, or Maxwell's equations are reformulated as Per

Jon Spalding, Bertrand Jayles, Renate Schubert, Siew Ann Cheong

A resilient society is one capable of withstanding and thereafter recovering quickly from large shocks. Brought to the fore by the COVID-19 pandemic of 2020--2022, this social resilience is nevertheless difficult to quantify. In this paper, we measured how quickly the Singapore society recovered from the pandemic, by first modeling it as a dynamic social net

Rinaldo Colombo, Vincent Perrollaz

Given a general scalar balance law, i.e., in several space dimensions and with flux and source both space and time dependent, we focus on the functional properties of the entropy production. We apply this operator to entropy solutions, to distributional solutions or to merely L $\infty$ functions. Proving its analytical properties naturally leads to the proj

Atreyee Majumdar, Surajit Das, Raghunathan Ramakrishnan

Fifth-generation organic light-emitting diodes exhibit delayed fluorescence even at low temperatures, enabled by exothermic reverse intersystem crossing from a negative singlet-triplet gap (STG), where the first excited singlet lies anomalously below the triplet. This phenomenon -- termed delayed fluorescence from inverted singlet and triplet states (DFIST)

Hongda Liu, Longguang Wang, Weijun Guan, Ye Zhang

Due to the high diversity of image styles, the scalability to various styles plays a critical role in real-world applications. To accommodate a large amount of styles, previous multi-style transfer approaches rely on enlarging the model size while arbitrary-style transfer methods utilize heavy backbones. However, the additional computational cost introduced

Joakim Blikstad, Yonggang Jiang, Sagnik Mukhopadhyay, Sorrachai Yingchareonthawornchai

A recent breakthrough by [LNPSY STOC'21] showed that solving s-t vertex connectivity is sufficient (up to polylogarithmic factors) to solve (global) vertex connectivity in the sequential model. This raises a natural question: What is the relationship between s-t and global vertex connectivity in other computational models? In this paper, we demonstrate that

Hillol Biswas

The cyber-physical system of electricity power networks utilizes supervisory control and data acquisition systems (SCADA), which are inherently vulnerable to cyber threats if usually connected with the internet technology (IT). Power system operations are conducted through communication systems that are mapped to standards, protocols, ports, and addresses. R

Marco Spanghero, Panos Papadimitratos

Global Navigation Satellite Systems (GNSS) provide standalone precise navigation for a wide gamut of applications. Nevertheless, applications or systems such as unmanned vehicles (aerial or ground vehicles and surface vessels) generally require a much higher level of accuracy than those provided by standalone receivers. The most effective and economical way

Humam Kourani, Gyunam Park, Wil van der Aalst

The Partially Ordered Workflow Language (POWL) has recently emerged as a process modeling notation, offering strong quality guarantees and high expressiveness. However, its adoption is hindered by the prevalence of standard notations like workflow nets (WF-nets) and BPMN in practice. This paper presents a novel algorithm for transforming safe and sound WF-ne

Joao Pereira, Vasco Lopes, David Semedo, Joao Neves

Large Vision-Language Models (LVLMs) demonstrate remarkable performance in short-video tasks such as video question answering, but struggle in long-video understanding. The linear frame sampling strategy, conventionally used by LVLMs, fails to account for the non-linear distribution of key events in video data, often introducing redundant or irrelevant infor

Atsushi Miyake, Ryuta Hayasaka, Hiroto Fukuda, Masaki Kondo

A novel magnetic field-induced switching of the magnetization easy axis has been discovered in the layered compound CeSb$_2$, which crystallizes in an orthorhombic structure with nearly identical lattice constants along the a- and b-axes, giving it a tetragonal-like appearance. When a magnetic field is applied along an orthorhombic in-plane axis at 4.2 K, ma

Jan Ertl, Patric Rommel, Jörg Main

Excitons, i.e. the bound states of an electron and a positively charged hole are the solid state analogue of the hydrogen atom. As such they exhibit a Rydberg series, which in cuprous oxide has been observed up to high principal quantum numbers by T. Kazimierczuk et al. [Nature 514, 343 (2014)]. In this energy regime the quantum mechanical properties of the

Alexey Kondyurin

Spincoated polystyrene films of different thickness from 78 nm to 1.3 {\mu}m on silicon wafers were treated by nitrogen ions with an energy of 20 keV. Ellipsometric measurements and FTIR spectra showed modification of the surface layer corresponding to the depth of ion penetration into the polymer (about 70 nm). However, washing of the deep layers and subseq

Radek Zavorka, Ales Prokes, Josef Vychodil, Tomas Mikulasek

The spatial statistics of radio wave propagation in specific environments and scenarios, as well as being able to recognize important signal components, are prerequisites for dependable connectivity. There are several reasons why in-vehicle communication is unique, including safety considerations and vehicle-to-vehicle/infrastructure communication.The paper

Federico Felizzi

We investigate the economic impact of controlling the pace of aging through biomarker monitoring and targeted interventions. Using the DunedinPACE epigenetic clock as a measure of biological aging rate, we model how different intervention scenarios affect frailty trajectories and their subsequent influence on healthcare costs, lifespan, and health quality. O

Lokesh Tater, Subhajit Sarkar, Devendra Singh Bhakuni, Bijay Kumar Agarwalla

We investigate the dynamics of subsystem particle number fluctuations in a long-range system with power-law decaying hopping strength characterized by exponent $\mu$ and subjected to a local dephasing at every site. We introduce an efficient {\it bond length} representation for the four-point correlator, enabling the large-scale simulation of the dynamics of

Yafei Guo, Ziye Jia, Lei Zhang, Jia He

The unmanned aerial vehicle assisted multi-access edge computing (UAV-MEC) technology has been widely applied in the sixth-generation era. However, due to the limitations of energy and computing resources in disaster areas, how to efficiently offload the tasks of damaged user equipments (UEs) to UAVs is a key issue. In this work, we consider a multiple UAVME

Yulu Han, Ziye Jia, Sijie He, Yu Zhang

The unmanned aerial vehicle (UAV) network has gained significant attentions in recent years due to its various applications. However, the traffic security becomes the key threatening public safety issue in an emergency rescue system due to the increasing vulnerability of UAVs to cyber attacks in environments with high heterogeneities. Hence, in this paper, w

Ke Ma, Jiaqi Tang, Bin Guo, Fan Dang

Despite the growing integration of deep models into mobile terminals, the accuracy of these models declines significantly due to various deployment interferences. Test-time adaptation (TTA) has emerged to improve the performance of deep models by adapting them to unlabeled target data online. Yet, the significant memory cost, particularly in resource-constra

Y. -H. Huang, K. -M. Hsieh, F. Aziz, Z. Q. Niu

A beam splitter is a key component used to direct and combine light paths in various optical and microwave systems. It plays a crucial role in devices like interferometers, such as the Mach-Zehnder and Hong-Ou-Mandel setups, where it splits light into different paths for interference measurements. These measurements are vital for precise phase and coherence