Tootfinder

Maria Montessori:
❝Our care of the child should be governed, not by the desire to make him learn things, but by the endeavor always to keep burning within him that light which is called intelligence.❞
❝We cannot know the consequences of suppressing a child's spontaneity when he is just beginning to be active. We may even suffocate life itself. That humanity which is revealed in all its intellectual splendor during the sweet and tender age of childhood should be respected with a kind of religious veneration. It is like the sun which appears at dawn or a flower just beginning to bloom. Education cannot be effective unless it helps a child to open up himself to life.❞
9/

🔊 #NowPlaying on #BBCRadio3:
#ClassicalMixtape
- Classical music for focus or relaxation
Enjoy a 30-minute soundscape of classical favourites including a Scottish Dance from Malcolm Arnold and Maria Joao Pires performing a Brahms intermezzo.
Relisten now 👇
https://www.bbc.co.uk/programmes/m002d7h6

:(
https://masto.pt/@sapopt/114688520068642780
@…

Towards Lean Research Inception: Assessing Practical Relevance of Formulated Research Problems
Anrafel Fernandes Pereira, Marcos Kalinowski, Maria Teresa Baldassarre, J\"urgen B\"orstler, Nauman bin Ali, Daniel Mendez
https://arxiv.org/abs/2506.12669

Towards Lean Research Inception: Assessing Practical Relevance of Formulated Research Problems
[Context] The lack of practical relevance in many Software Engineering (SE) research contributions is often rooted in oversimplified views of industrial practice, weak industry connections, and poorly defined research problems. Clear criteria for evaluating SE research problems can help align their value, feasibility, and applicability with industrial needs. [Goal] In this paper, we introduce the Lean Research Inception (LRI) framework, designed to support the formulation and assessment of prac…

TUM Teleoperation: Open Source Software for Remote Driving and Assistance of Automated Vehicles
Tobias Kerbl, David Brecht, Nils Gehrke, Nijinshan Karunainayagam, Niklas Krauss, Florian Pfab, Richard Taupitz, Ines Trautmannsheimer, Xiyan Su, Maria-Magdalena Wolf, Frank Diermeyer
https://arxiv.org/abs/2506.13933

TUM Teleoperation: Open Source Software for Remote Driving and Assistance of Automated Vehicles
Teleoperation is a key enabler for future mobility, supporting Automated Vehicles in rare and complex scenarios beyond the capabilities of their automation. Despite ongoing research, no open source software currently combines Remote Driving, e.g., via steering wheel and pedals, Remote Assistance through high-level interaction with automated driving software modules, and integration with a real-world vehicle for practical testing. To address this gap, we present a modular, open source teleoperat…

Reliable Noninvasive Glucose Sensing via CNN-Based Spectroscopy
El Arbi Belfarsi, Henry Flores, Maria Valero
https://arxiv.org/abs/2506.13819 https://

Reliable Noninvasive Glucose Sensing via CNN-Based Spectroscopy
In this study, we present a dual-modal AI framework based on short-wave infrared (SWIR) spectroscopy. The first modality employs a multi-wavelength SWIR imaging system coupled with convolutional neural networks (CNNs) to capture spatial features linked to glucose absorption. The second modality uses a compact photodiode voltage sensor and machine learning regressors (e.g., random forest) on normalized optical signals. Both approaches were evaluated on synthetic blood phantoms and skin-mimicking…

Self-Stabilizing Replicated State Machine Coping with Byzantine and Recurring Transient Faults
Shlomi Dolev, Amit Hendin, Maurice Herlihy, Maria Potop Butucaru, Elad Michael Schiller
https://arxiv.org/abs/2506.12900

Self-Stabilizing Replicated State Machine Coping with Byzantine and Recurring Transient Faults
The ability to perform repeated Byzantine agreement lies at the heart of important applications such as blockchain price oracles or replicated state machines. Any such protocol requires the following properties: (1) \textit{Byzantine fault-tolerance}, because not all participants can be assumed to be honest, (2) r\textit{ecurrent transient fault-tolerance}, because even honest participants may be subject to transient ``glitches'', (3) \textit{accuracy}, because the results of quantitative queri…

Hydrogen bond symmetrization in high-pressure ice clathrates
Lorenzo Monacelli, Maria Rescigno, Alasdair Nicholls, Umbertoluca Ranieri, Simone Di Cataldo, Livia Eleonora Bove
https://arxiv.org/abs/2506.13169

Hydrogen bond symmetrization in high-pressure ice clathrates
Hydrogen bond symmetrization is a fundamental pressure-induced transformation in which the distinction between donor and acceptor sites vanishes, resulting in a symmetric hydrogen-bond network. While extensively studied in pure ice, most notably during the ice VII to ice X transition, this phenomenon remains less well characterized in hydrogen hydrates. In this work, we investigate hydrogen bond symmetrization in the high-pressure phases of hydrogen hydrate (H2-H2O and H2-D2O) through a combine…

$\xi$-Based adaptive phase field model for quasi-static anti-plane fracture
Maria P. Fernando, S. M. Mallikarjunaiah
https://arxiv.org/abs/2506.12360 https…

$ξ$-Based adaptive phase field model for quasi-static anti-plane fracture
The $ξ$-based spatially adaptive three-field variable phase-field model for quasi-static anti-plane crack propagation is introduced. A dynamically optimized regularization length is integrated to improve computational efficiency and accuracy in numerical approximations. A local adaptive mesh refinement strategy is developed, which maintains an optimal balance between mesh resolution and the accurate depiction of fractures using the \textsf{AT1} diffuse interface model. The total energy functio…

Decay of dark energy into dark matter in a metric $f(R)$ gravity: effective running Hubble constant
Giovanni Montani, Mariaveronica De Angelis, Maria Giovanna Dainotti
https://arxiv.org/abs/2506.13288

Decay of dark energy into dark matter in a metric $f(R)$ gravity: effective running Hubble constant
We examine a modified late-Universe dynamics where dark energy decays into dark matter, within the framework of metric $f(R)$-gravity in the Jordan frame. After a detailed analysis of the modified $Λ\text{CDM}$ model, we introduce a theoretical diagnostic tool to capture the emergence of an effective running Hubble constant as a function of redshift. We then compare this theoretical model with the 40-bin analysis of the Supernova Pantheon sample. This comparison allows us to determine the valu…

Pactum, which helps companies automate supplier negotiations with AI and secure more favorable contractual terms, raised a $54M Series C led by Insight Partners (Maria Deutscher/SiliconANGLE)
https://siliconangle.com/2025/06/09/pactum-raises-…

Pactum raises $54M for its procurement automation platform - SiliconANGLE
Pactum raises $54M for its procurement automation platform - SiliconANGLE

Intersections of blocks of cyclotomic Hecke algebras
Maria Chlouveraki, Gunter Malle
https://arxiv.org/abs/2506.12973 https://arxiv.o…

Intersections of blocks of cyclotomic Hecke algebras
Trinh and Xue have proposed a startling conjecture on intersections of blocks of cyclotomic Hecke algebras occurring in modular representation theory of finite reductive groups. We prove this conjecture for all exceptional type groups apart from $E_8$. We also propose several generalisations, to Suzuki and Ree groups, to non-rational Coxeter groups and even more generally to spetsial complex reflection groups, and confirm these in various cases.

Kristina-Maria Abram sichert sich mit einem Sieg in der ODJM C die Deutsche Meisterschaft! Wir gratulieren! #dem25

Nucleation feedback can drive establishment and maintenance of biased microtubule polarity in neurites
Hannah G. Scanlon, Gibarni Mahata, Anna C. Nelson, Scott A. McKinley, Melissa M. Rolls, Maria-Veronica Ciocanel
https://arxiv.org/abs/2506.12209

Nucleation feedback can drive establishment and maintenance of biased microtubule polarity in neurites
The microtubule cytoskeleton is comprised of dynamic, polarized filaments that facilitate transport within the cell. Polarized microtubule arrays are key to facilitating cargo transport in long cells such as neurons. Microtubules also undergo dynamic instability, where the plus and minus ends of the filaments switch between growth and shrinking phases, leading to frequent microtubule turnover. Although microtubules often completely disassemble and new filaments nucleate, microtubule arrays have…

Hopfield Networks as Models of Emergent Function in Biology
Maria Yampolskaya, Pankaj Mehta
https://arxiv.org/abs/2506.13076 https://…

Hopfield Networks as Models of Emergent Function in Biology
Hopfield models, originally developed to study memory retrieval in neural networks, have become versatile tools for modeling diverse biological systems in which function emerges from collective dynamics. In this review, we provide a pedagogical introduction to both classical and modern Hopfield networks from a biophysical perspective. After presenting the underlying mathematics, we build physical intuition through three complementary interpretations of Hopfield dynamics: as noise discrimination…

R\'enyi-Induced Information Geometry and Hartigan's Prior Family
Rebecca Maria Kuntz, Heinrich von Campe, Bj\"orn Malte Sch\"afer
https://arxiv.org/abs/2506.12028

Rényi-Induced Information Geometry and Hartigan's Prior Family
We derive the information geometry induced by the statistical Rényi divergence, namely its metric tensor, its dual parametrized connections, as well as its dual Laplacians. Based on these results, we demonstrate that the Rényi-geometry, though closely related, differs in structure from Amari's well-known $α$-geometry. Subsequently, we derive the canonical uniform prior distributions for a statistical manifold endowed with a Rényi-geometry, namely the dual Rényi-covolumes. We find that the …

The Three Marias, Maria Isabel Barreno, Maria Teresa Horta and Maria Velho da Costa, part of a photo documentary project as seen in Alfama, Lisbon.

Who's in? Household-targeted Government Policies and the Role of Financial Literacy in Market Participation
Maria Elena Filippin
https://arxiv.org/abs/2506.12575

Who's in? Household-targeted Government Policies and the Role of Financial Literacy in Market Participation
This paper examines how household-targeted government policies influence financial market participation conditional on financial literacy, focusing on potential Central Bank Digital Currency (CBDC) adoption. Due to the lack of empirical CBDC data, I use the introduction of retail Treasury bonds in Italy as a proxy to investigate how financial literacy affects households' likelihood to engage with the new instrument. Using the Bank of Italy's Survey on Household Income and Wealth, I explore how …

Hörtipp: Klassik–Pop–et cetera samstags 10:05 Uhr im DLF
Das ist kein besonders origineller Tipp – die Sendung ist ungefähr so alt wie ich und hat rund eine halbe Million Hörende.
Aber ich war ihr vor einigen Jahren untreu geworden. Das Prinzip der Sendung ist ja, dass Nichtradiomenschen ohne journalistische Betreuung ihre Lieblingsmusi…

UAV Object Detection and Positioning in a Mining Industrial Metaverse with Custom Geo-Referenced Data
Vasiliki Balaska, Ioannis Tsampikos Papapetros, Katerina Maria Oikonomou, Loukas Bampis, Antonios Gasteratos
https://arxiv.org/abs/2506.13505

UAV Object Detection and Positioning in a Mining Industrial Metaverse with Custom Geo-Referenced Data
The mining sector increasingly adopts digital tools to improve operational efficiency, safety, and data-driven decision-making. One of the key challenges remains the reliable acquisition of high-resolution, geo-referenced spatial information to support core activities such as extraction planning and on-site monitoring. This work presents an integrated system architecture that combines UAV-based sensing, LiDAR terrain modeling, and deep learning-based object detection to generate spatially accur…

Seamless Dysfluent Speech Text Alignment for Disordered Speech Analysis
Zongli Ye, Jiachen Lian, Xuanru Zhou, Jinming Zhang, Haodong Li, Shuhe Li, Chenxu Guo, Anaisha Das, Peter Park, Zoe Ezzes, Jet Vonk, Brittany Morin, Rian Bogley, Lisa Wauters, Zachary Miller, Maria Gorno-Tempini, Gopala Anumanchipalli
https://arxiv.org/abs/2…

Seamless Dysfluent Speech Text Alignment for Disordered Speech Analysis
Accurate alignment of dysfluent speech with intended text is crucial for automating the diagnosis of neurodegenerative speech disorders. Traditional methods often fail to model phoneme similarities effectively, limiting their performance. In this work, we propose Neural LCS, a novel approach for dysfluent text-text and speech-text alignment. Neural LCS addresses key challenges, including partial alignment and context-aware similarity mapping, by leveraging robust phoneme-level modeling. We eval…

Multiple Soft Scatterings in Scalar Dark Matter Freeze-In
Mathias Becker, Maria Jose Fernandez Lozano, Julia Harz, Carlos Tamarit
https://arxiv.org/abs/2506.11185

Multiple Soft Scatterings in Scalar Dark Matter Freeze-In
We present an improved calculation of the freeze-in production rate for scalar dark matter (DM) from a gauge-charged parent particle via a renormalizable interaction. Building on the previously developed 1PI-resummed framework to accurately capture the relevant regime $T \sim M$, we expand the analysis to include the Landau-Pomeranchuk-Migdal (LPM) effect, which contributes at leading order $g^2 T$ to the interaction rate in the ultra-relativistic limit. To this end, we derive an equation for t…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Santana featuring The Product G&B:
🎵 Maria Maria
#Santana #TheProductG #B
https://highrfrqncy.bandcamp.com/track/santana-feat-the-product-g-b-maria-maria
https://open.spotify.com/track/3fucYASejkSMwtAYjFRKlF

Next at the #SolarEclipse Conference Nick James talked about new (and finally amateur-affordable) polarization-sensitive cameras in which each pixel comes with a polarizer: since it's a while til the next solar eclipse he demonstrated it with the #Moon where the #polarization of the maria is higher than of the highlands, matching expectations. 2/n

FAUST XXVII: The circumbinary disk and the outflow of the L 1551 IRS 5 binary system
Aurora Dur\'an, Laurent Loinard, Pedro R. Rivera-Ortiz, Geovanni Cort\'es-Rangel, Eleonora Bianchi, Paola Caselli, Cecilia Ceccarelli, Claire J. Chandler, Claudio Codella, Nicol\'as Cuello, Marta De Simone, Tomoyuki Hanawa, Doug Johnstone, Fran\c{c}ois Menard, Maria Jos\'e Maureira, Anna Miotello, Linda Podio, Takeshi Sakai, Giovanni Sabatini, Leonardo Testi, Charlotte Vastel, Ziwei Zha…

FAUST XXVII: The circumbinary disk and the outflow of the L 1551 IRS 5 binary system
Using continuum and $\text{C}^{18}\text{O}\:(2-1)$ line data obtained from the large ALMA program FAUST, we studied the structure of the protostellar binary system L1551 IRS5 at scales between 30 and 3,000 au to constrain its properties, from the circumstellar and circumbinary disks up to the envelope and outflow scales, which exhibits complex and entangled structures at the scales of its inner and outer envelopes, presumably caused by the influence of the central binary. Assuming a dust-to-gas…

Luca Maria Aiello becomes Full Professor
https://nerds.itu.dk/2025/04/01/luca-maria-aiello-becomes-full-professor/
Congratulations Luca @…

Structural Inhomogeneities and Suppressed Magneto-Structural Coupling in Mn-Substituted GeCo2O4
Shivani Sharma, Pooja Jain, Benny Schundelmier, Chin-Wei Wang, Poonam Yadav, Adrienn Maria Szucs, Kaya Wei, N. P. Lalla, Theo Siegrist
https://arxiv.org/abs/2506.14017

Structural Inhomogeneities and Suppressed Magneto-Structural Coupling in Mn-Substituted GeCo2O4
A comprehensive study of Ge1-xMnxCo2O4 (GMCO) system was conducted using neutron powder diffraction (NPD), x-ray diffraction (XRD), Scanning electron microscopy, magnetometry, and heat capacity measurements. Comparative analysis with GeCo2O4 (GCO) highlights the influence of Mn substitution on the crystal and magnetic structure at low temperature. Surprisingly, phase separation is observed in GMCO with a targeted nominal composition of Ge0.5Mn0.5Co2O4. SEM/EDX analysis reveals that the sample p…

Upgrade or Switch: Do We Need a New Registry Architecture for the Internet of AI Agents?
Ramesh Raskar, Pradyumna Chari, Jared James Grogan, Mahesh Lambe, Robert Lincourt, Raghu Bala, Abhishek Singh, Ayush Chopra, Rajesh Ranjan, Shailja Gupta, Dimitris Stripelis, Maria Gorskikh, Sichao Wang
https://arxiv.org/abs/2506.12003

Upgrade or Switch: Do We Need a New Registry Architecture for the Internet of AI Agents?
The emerging Internet of AI Agents challenges existing web infrastructure designed for human-scale, reactive interactions. Unlike traditional web resources, autonomous AI agents initiate actions, maintain persistent state, spawn sub-agents, and negotiate directly with peers: demanding millisecond-level discovery, instant credential revocation, and cryptographic behavioral proofs that exceed current DNS/PKI capabilities. This paper analyzes whether to upgrade existing infrastructure or implement…

Insights from a 30-Year international Partnership on Astronomical Archives
David R. Rodriguez, Maria Arevalo, Patrick Dowler, Javier Espinosa, Brian McLean, Chris Willott
https://arxiv.org/abs/2506.11888

Insights from a 30-Year international Partnership on Astronomical Archives
In an era where astronomical data is expanding at an unprecedented rate, the importance of data sharing and accessibility among astronomy archives cannot be overstated. Since the 1990s, an international partnership between the Space Telescope Science Institute (STScI), the European Space Astronomy Centre (ESAC), and the Canadian Astronomy Data Centre (CADC) has been focused on this endeavor, facilitating the exchange of data from the Hubble and James Webb Space Telescopes. We will present how…

Regularizing effects of absorption terms in local-nonlocal mild singular problems
Stefano Biagi, Enzo Maria Merlino, Eugenio Vecchi
https://arxiv.org/abs/2506.11656

Regularizing effects of absorption terms in local-nonlocal mild singular problems
In this paper we prove existence and uniqueness of energy solutionns for singular problems with absorption driven by local-nonlocal operators. Moreover, we establish a comparison principle à la Talenti, leading to a gain of summability result for the solutions of these problems.

BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis
Florian Kofler, Marcel Rosier, Mehdi Astaraki, Ujjwal Baid, Hendrik M\"oller, Josef A. Buchner, Felix Steinbauer, Eva Oswald, Ezequiel de la Rosa, Ivan Ezhov, Constantin von See, Jan Kirschke, Anton Schmick, Sarthak Pati, Akis Linardos, Carla Pitarch, Sanyukta Adap, Jeffrey Rudie, Maria Correia de Verdier, Rachit Saluja, Evan Calabrese, Dominic LaBella, Mariam Aboian, Ahmed W. Moawad, …

BraTS orchestrator : Democratizing and Disseminating state-of-the-art brain tumor image analysis
The Brain Tumor Segmentation (BraTS) cluster of challenges has significantly advanced brain tumor image analysis by providing large, curated datasets and addressing clinically relevant tasks. However, despite its success and popularity, algorithms and models developed through BraTS have seen limited adoption in both scientific and clinical communities. To accelerate their dissemination, we introduce BraTS orchestrator, an open-source Python package that provides seamless access to state-of-the-…

Predictive Models for Chronic Heart Failure
Pietro Cassieri, Aiman Faiz, Anna Maria De Roberto, Claudio Pascarelli, Gianvito Mitrano, Gianluca Fimiani, Marina Garofano, Christiancarmine Esposito, Genoveffa Tortora, Alessia Bramanti, Giuseppe Scanniello
https://arxiv.org/abs/2505.09619

Predictive Models for Chronic Heart Failure
The management of chronic Heart Failure (HF) presents significant challenges in modern healthcare, requiring continuous monitoring, early detection of exacerbations, and personalized treatment strategies. In this paper, we present a predictive model founded on Machine Learning (ML) techniques to identify patients at HF risk. This model is an ensemble learning approach, a modified stacking technique, that uses two specialized models leveraging clinical and echocardiographic features and then a m…

Candidatura do Seguro lançada com a presença do João Soares, da Maria de Belém e do Francisco Assis.
LMAO!
Que lindo friso de jarretas! 😂

The use of cross validation in the analysis of designed experiments
Maria L. Weese, Byran J. Smucker, David J. Edwards
https://arxiv.org/abs/2506.14593 htt…

The use of cross validation in the analysis of designed experiments
Cross-validation (CV) is a common method to tune machine learning methods and can be used for model selection in regression as well. Because of the structured nature of small, traditional experimental designs, the literature has warned against using CV in their analysis. The striking increase in the use of machine learning, and thus CV, in the analysis of experimental designs, has led us to empirically study the effectiveness of CV compared to other methods of selecting models in designed exper…

ExoStart: Efficient learning for dexterous manipulation with sensorized exoskeleton demonstrations
Zilin Si, Jose Enrique Chen, M. Emre Karagozler, Antonia Bronars, Jonathan Hutchinson, Thomas Lampe, Nimrod Gileadi, Taylor Howell, Stefano Saliceti, Lukasz Barczyk, Ilan Olivarez Correa, Tom Erez, Mohit Shridhar, Murilo Fernandes Martins, Konstantinos Bousmalis, Nicolas Heess, Francesco Nori, Maria Bauza Villalonga

ExoStart: Efficient learning for dexterous manipulation with sensorized exoskeleton demonstrations
Recent advancements in teleoperation systems have enabled high-quality data collection for robotic manipulators, showing impressive results in learning manipulation at scale. This progress suggests that extending these capabilities to robotic hands could unlock an even broader range of manipulation skills, especially if we could achieve the same level of dexterity that human hands exhibit. However, teleoperating robotic hands is far from a solved problem, as it presents a significant challenge …

Texas-based Securonix acquires ThreatQuotient, which helps companies analyze threat intelligence more efficiently; ThreatQuotient had raised about $170M (Maria Deutscher/SiliconANGLE)
https://siliconangle.com/2025/06/11/securonix-…

Securonix acquires threat intelligence startup ThreatQuotient - SiliconANGLE
Securonix acquires threat intelligence startup ThreatQuotient - SiliconANGLE

Quantum block Krylov subspace projector algorithm for computing low-lying eigenenergies
Maria Gabriela Jord\~ao Oliveira, Nina Glaser
https://arxiv.org/abs/2506.09971

Quantum block Krylov subspace projector algorithm for computing low-lying eigenenergies
Determining eigenvalues is a computationally expensive task that is crucial for countless applications in natural sciences. Toward this end, we introduce the quantum block Krylov subspace projector (QBKSP) algorithm, a multireference quantum variant of the Lanczos algorithm designed to accurately compute low-lying eigenvalues, including degenerate states. We present three different compact quantum circuits to evaluate the required expectation values, each suited to different problem settings. T…

Identity and Access Management for the Computing Continuum
Chalima Dimitra Nassar Kyriakidou, Athanasia Maria Papathanasiou, Vasilios A. Siris, Nikos Fotiou, George C. Polyzos, Eduardo C\'anovas Mart\'inez, Antonio Skarmeta
https://arxiv.org/abs/2506.09559

Identity and Access Management for the Computing Continuum
The computing continuum introduces new challenges for access control due to its dynamic, distributed, and heterogeneous nature. In this paper, we propose a Zero-Trust (ZT) access control solution that leverages decentralized identification and authentication mechanisms based on Decentralized Identifiers (DIDs) and Verifiable Credentials (VCs). Additionally, we employ Relationship-Based Access Control (ReBAC) to define policies that capture the evolving trust relationships inherent in the contin…

On the integrality Gap of Small Asymmetric Traveling Salesman Problems: A Polyhedral and Computational Approach
Eleonora Vercesi, Janos Barta, Luca Maria Gambardella, Stefano Gualandi, Monaldo Mastrolilli
https://arxiv.org/abs/2506.10671

On the integrality Gap of Small Asymmetric Traveling Salesman Problems: A Polyhedral and Computational Approach
In this paper, we investigate the integrality gap of the Asymmetric Traveling Salesman Problem (ATSP) with respect to the linear relaxation given by the Asymmetric Subtour Elimination Problem (ASEP) for instances with $n$ nodes, where $n$ is small. In particular, we focus on the geometric properties and symmetries of the ASEP polytope ($P^{n}_{ASEP}$) and its vertices. The polytope's symmetries are exploited to design a heuristic pivoting algorithm to search vertices where the integrality gap i…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
maria bc:
🎵 ***
#mariabc
https://mariabc.bandcamp.com/track/-

Yes, yes, yes, yes, @…! 👏
“For now, I’m planning on continuing to roll up my sleeves. I want to make things because I’m human and alive. I want to go on journeys and grow. I’m not always looking for an easy path, I want the friction. Because if I give up the journey, what am I really making? What do I actually learn?”

Bilateral collaboration between Mexico and the United Kingdom for the construction of technical equipment (CHARM) for the Large Millimeter Telescope (LMT/GTM)
Paulina Carmona Rodriguez, Maria de la Paz Ramos-Lara
https://arxiv.org/abs/2506.11489

Bilateral collaboration between Mexico and the United Kingdom for the construction of technical equipment (CHARM) for the Large Millimeter Telescope (LMT/GTM)
The Large Millimeter Telescope Alfonso Serrano (LMT), is the largest millimeter radio telescope in the world, and was founded in 2006. This radio telescope is the final product of a collaboration agreement between Mexico and the United States in the 1990s. It is located on top of an extinct volcano in Mexico at an altitude of 4600 meters above sea level. In 2018, the University of Manchester and the Rutherford Appleton Laboratory signed an agreement with the Instituto Nacional de Astrofisica Op…

Ties of Trust: a bowtie model to uncover trustor-trustee relationships in LLMs
Eva Paraschou, Maria Michali, Sofia Yfantidou, Stelios Karamanidis, Stefanos Rafail Kalogeros, Athena Vakali
https://arxiv.org/abs/2506.09632

Limiting the Shrinkage for the Exceptional by Objective Robust Bayesian Analysis: the `Clemente Problem'
Luis R. Pericchi, Maria-Eglee Perez
https://arxiv.org/abs/2506.10114

Limiting the Shrinkage for the Exceptional by Objective Robust Bayesian Analysis: the `Clemente Problem'
In `borrowing strength' an important problem of Statistics is to treat exceptional cases in a fundamentally different. This is what has been coined as `the Clemente problem' in honor of R. Clemente (Efron 2010). In this article, we propose to use robust penalties, in the form of losses that penalize more severely huge errors, or (equivalently) priors of heavy tails which make more probable the exceptional. Using heavy tailed priors, we can reproduce in a Bayesian way Efron and Morris `limited t…

ICE officers stuck in Djibouti shipping container with deported migrants (Maria Sacchetti/Washington Post)
https://www.washingtonpost.com/immigration/2025/06/05/djibouti-deportations-migrants-ice-trump/?pwapi_token=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9
http://www.memeorandum.com/250605/p137#a250605p137

Training-Free Voice Conversion with Factorized Optimal Transport
Alexander Lobashev, Assel Yermekova, Maria Larchenko
https://arxiv.org/abs/2506.09709 http…

Training-Free Voice Conversion with Factorized Optimal Transport
This paper introduces Factorized MKL-VC, a training-free modification for kNN-VC pipeline. In contrast with original pipeline, our algorithm performs high quality any-to-any cross-lingual voice conversion with only 5 second of reference audio. MKL-VC replaces kNN regression with a factorized optimal transport map in WavLM embedding subspaces, derived from Monge-Kantorovich Linear solution. Factorization addresses non-uniform variance across dimensions, ensuring effective feature transformation.…

New X-ray Supernova Remnants in NGC 7793
Maria Kopsacheili, Konstantina Anastasopoulou, Nanda Rea, Claudia Patricia Guti\'errez, Llu\'is Galbany
https://arxiv.org/abs/2506.09120

New X-ray Supernova Remnants in NGC 7793
This work focuses on the detection of X-ray Supernova Remnants (SNRs) in the galaxy NGC 7793 and the study of their properties. X-ray SNRs in galaxies beyond the Local Group are rare, mainly due to the limited sensitivity of current X-ray instruments. Additionally, their identification requires an optical counterpart, making incomplete optical identification methods an extra challenge. Detecting X-ray SNRs in other galaxies is crucial for understanding their feedback in different evolutionary p…

Str\"omgren photometric metallicity map of the Magellanic Cloud stars using Gaia DR3--XP spectra
Abinaya O. Omkumar, Maria-Rosa L. Cioni, Smitha Subramanian, Jos de Bruijne, Aparna Nair, Bruno Dias
https://arxiv.org/abs/2506.10749

Strömgren photometric metallicity map of the Magellanic Cloud stars using Gaia DR3--XP spectra
One important key in understanding a galaxy's evolution is to study the consequences of its past dynamical interactions that influenced its shape. By measuring the metallicity distribution of stellar populations with different ages, one can learn about these interactions. The Magellanic Clouds, being the nearest pair of interacting dwarf galaxies with a morphology characterised by different tidal and kinematic sub-structures as well as a vast range of stellar populations, represent an excellent…

🇺🇦 #NowPlaying on BBCRadio3's #ClassicalMixtape
Johannes Brahms & Maria João Pires:
🎵 3 Intermezzi Op.117 (no.1 in E flat major 'Schlummerlied')
#JohannesBrahms #MariaJoãoPires

Reusing Trajectories in Policy Gradients Enables Fast Convergence
Alessandro Montenegro, Federico Mansutti, Marco Mussi, Matteo Papini, Alberto Maria Metelli
https://arxiv.org/abs/2506.06178

Reusing Trajectories in Policy Gradients Enables Fast Convergence
Policy gradient (PG) methods are a class of effective reinforcement learning algorithms, particularly when dealing with continuous control problems. These methods learn the parameters of parametric policies via stochastic gradient ascent, typically using on-policy trajectory data to estimate the policy gradient. However, such reliance on fresh data makes them sample-inefficient. Indeed, vanilla PG methods require $O(ε^{-2})$ trajectories to reach an $ε$-approximate stationary point. A common …

Transaction Categorization with Relational Deep Learning in QuickBooks
Kaiwen Dong, Padmaja Jonnalagedda, Xiang Gao, Ayan Acharya, Maria Kissa, Mauricio Flores, Nitesh V. Chawla, Kamalika Das
https://arxiv.org/abs/2506.09234

Transaction Categorization with Relational Deep Learning in QuickBooks
Automatic transaction categorization is crucial for enhancing the customer experience in QuickBooks by providing accurate accounting and bookkeeping. The distinct challenges in this domain stem from the unique formatting of transaction descriptions, the wide variety of transaction categories, and the vast scale of the data involved. Furthermore, organizing transaction data in a relational database creates difficulties in developing a unified model that covers the entire database. In this work, …

Foda-se.
https://masto.pt/@sapopt/114654453327040545

Today is #WorldPressFreedomDay
Listen to Nobel Peace Laureate Maria Ressa on how important community support was for the survival of Rappler under attack from a dictator.
Lessons we should take to heart.
#FreePress #Journalism

🎵 Auf der Music Encoding Conference 2025 in London hörten wir ein faszinierendes Panel zum Thema „Sketching genetic editions: Challenges and Opportunities“ (präsentiert von Salome Obert (Carl-Maria-von-Weber-Gesamtausgabe); Agnes Seipelt (Beethovens Werkstatt | Universität Paderborn; Alessandra Paciotti (UniversitŠ degli Studi di Pavia, Italien); Cecilia Raunisi (Christian Albrechts Universität zu Kiel); Lisa Rosendahl (Beethovens Werkstatt | Beethoven-Haus Bonn).

Transcorrelated Theory for Transition Metal Atoms
Kristoffer Simula, Maria-Andreea Filip, Ali Alavi
https://arxiv.org/abs/2506.10429 https://

Transcorrelated Theory for Transition Metal Atoms
We benchmark ionisation and excitation energies of transition-metal atoms Sc-Zn with a transcorrelated Hamiltonian combined with pseudopotentials. The similarity transformed Hamiltonian provides compact TC wave functions in affordable aug-cc-pVTZ and aug-cc-pVQZ Gaussian bases and eliminates the need for complete basis set extrapolations. The use of Douglas-Kroll-Hess theory is omitted because scalar relativistic effects are included in the pseudopotentials. Treating the full semicore (3s 3p) v…

Artificial intelligence-enabled precision medicine for inflammatory skin diseases
Alice Tang, Maria Wei, Anna Haemel, Cindy La, Marina Sirota, Ernest Y. Lee
https://arxiv.org/abs/2505.09527

Artificial intelligence-enabled precision medicine for inflammatory skin diseases
Recent advances in artificial intelligence (AI) and multimodal data collection are revolutionizing dermatology. Generative AI and machine learning approaches offer opportunities to enhance the diagnosis and treatment of inflammatory skin diseases, including atopic dermatitis, psoriasis, hidradenitis suppurativa, and autoimmune connective tissue disease. This review examines the current landscape of AI applications for inflammatory skin diseases and explores how generative AI and machine learnin…

High-dimensional programmable photonic circuits with structured media
Maria Gorizia Ammendola, Nazanin Dehghan, Lukas Scarfe, Alessio D'Errico, Francesco Di Colandrea, Ebrahim Karimi, Filippo Cardano
https://arxiv.org/abs/2506.09802

High-dimensional programmable photonic circuits with structured media
Photonic circuits provide a powerful platform for manipulating optical modes in both classical and quantum regimes. Here, we report a programmable free-space photonic architecture capable of implementing high-dimensional unitary transformations with translational symmetry. Information is encoded in structured light modes defined by circular polarisation and quantised transverse momenta, and processed using a cascade of three spatial light modulators interleaved with half-wave plates. We demonst…

Induced subgraphs and tree decompositions XIX. Bags of bounded domination
Maria Chudnovsky, Sepehr Hajebi, Sophie Spirkl
https://arxiv.org/abs/2506.05602 h…

Induced subgraphs and tree decompositions XIX. Bags of bounded domination
We prove that every graph of sufficiently large treewidth has an induced subgraph $H$ of large treewidth such that either $H$ is a subdivided wall or the line graph of a subdivided wall, or every induced subgraph of $H$ admits a tree decomposition where each bag induces a subgraph of small domination number. This is best possible as subdivided walls and their line graphs do not admit such tree decompositions. As a corollary, we deduce that if a graph $G$ has maximum degree at most $Δ\in \mat…

That was the Accordion Tribe’s first 1998 album
Featuring Bratko Bibič (Slovenia), Lars Hollmer (Sweden), Maria Kalaniemi (Finland), Guy Klucevsek (USA/Slovenia) and Otto Lechner (Austria).
Organized by the marvelous #GuyKlucevsek who died this past week ❤️‍🔥🪗

crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023
Navodini Wijethilake, Reuben Dorent, Marina Ivory, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Mohamed Okasha, Anna Oviedova, Hexin Dong, Bogyeong Kang, Guillaume Sall\'e, Luyi Han, Ziyuan Zhao, Han Liu, Tao Yang, Shahad Hardan, Hussain Alasmawi, Santosh Sanjeev, Yuzhou Zhuang, Satoshi Kondo, Maria Baldeon Calisto, Shaikh Muh…

crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023
The cross-Modality Domain Adaptation (crossMoDA) challenge series, initiated in 2021 in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), focuses on unsupervised cross-modality segmentation, learning from contrast-enhanced T1 (ceT1) and transferring to T2 MRI. The task is an extreme example of domain shift chosen to serve as a meaningful and illustrative benchmark. From a clinical application perspective, it aims to automate Ve…

Impact of the $(\ell=2,m=0)$ spherical harmonic mode with memory on parameter estimation for ground-based detectors
Maria Rossell\'o-Sastre, Sascha Husa, Sayantani Bera, Yumeng Xu
https://arxiv.org/abs/2506.05859

Impact of the $(\ell=2,m=0)$ spherical harmonic mode with memory on parameter estimation for ground-based detectors
We recently presented an efficient and accurate waveform model for the $(2,0)$ spherical harmonic mode including both the displacement memory contribution and the ringdown oscillations for aligned-spin binary black holes in quasi-circular orbits. The model we developed is constructed in time domain and implemented within the computationally efficient IMRPhenomTHM waveform model. In this article, we employ it to perform in-depth parameter estimation studies for future ground-based detectors, spe…

Towards Sustainable Computing: Exploring Energy Consumption Efficiency of Alternative Configurations and Workloads in an Open Source Messaging System
Maria Voreakou, George Kousiouris, Mara Nikolaidou
https://arxiv.org/abs/2506.10693

Towards Sustainable Computing: Exploring Energy Consumption Efficiency of Alternative Configurations and Workloads in an Open Source Messaging System
Energy consumption in current large scale computing infrastructures is becoming a critical issue, especially with the growing demand for centralized systems such as cloud environments. With the advancement of microservice architectures and the Internet of Things, messaging systems have become an integral and mainstream part of modern computing infrastructures, carrying out significant workload in a majority of applications. In this paper, we describe an experimental process to explore energy-ba…

Gespräche in Istanbul: Russische Delegation bleibt gleich
Die russische Delegation für die zweite Runde der Gespräche mit der Ukraine im türkischen Istanbul wird dieselbe sein wie für die erste Runde, zitierte die Nachrichtenagentur TASS die Sprecherin des russischen Außenministeriums, Maria Zakharova. Russland hatte vorgeschlagen, die nächste Runde der direkten Gespräche mit der Ukraine am 2. Juni in Istanbul durchzuführen. …
📑

Ukraine-Liveblog: ++Ukraine meldet einen Toten durch Drohnenangriffe ++
Die Ukraine meldet einen Toten durch russische Drohnen in der Region Sumy. Russland hat nach eigenen Angaben mehrere ukrainische Drohnen abgeschossen.

Cohomology of hypersurfaces of weighted projective space and the intersection form on $H^2$
Anna-Maria Raukh
https://arxiv.org/abs/2506.04094 https://

Cohomology of hypersurfaces of weighted projective space and the intersection form on $H^2$
Given a hypersurface $i \colon X \hookrightarrow \widetilde{P}^n$ in a weighted projective space, we compute the intersection form on the second cohomology $H^2(X, \mathbb{Z})^{\otimes n-1} \to \mathbb{Z}$ for the purpose of identifying Fano manifolds obtained from smoothing singular Fanos. In the process, we describe the integer cohomology groups $H^k(X, \mathbb{Z})$ for $k

Online matching on stochastic block model
Maria Cherifa (MAP5, CREST), Cl\'ement Calauz\`enes (CREST), Vianney Perchet (CREST)
https://arxiv.org/abs/2506.04921

Online matching on stochastic block model
While online bipartite matching has gained significant attention in recent years, existing analyses in stochastic settings fail to capture the performance of algorithms on heterogeneous graphs, such as those incorporating inter-group affinities or other social network structures. In this work, we address this gap by studying online bipartite matching within the stochastic block model (SBM). A fixed set of offline nodes is matched to a stream of online arrivals, with connections governed probabi…

Teaching special relativity in elementary physics or upper high school courses
Maria Grazia Blumetti, Biagio Buonaura, Giuseppe Giuliani, Marco Litterio
https://arxiv.org/abs/2506.07872

Teaching special relativity in elementary physics or upper high school courses
This paper aims to provide teachers with a tool to teach the essential features of special relativity, considering the students' difficulties highlighted by numerous studies. Our proposal presents special relativity as the solution to the troubles of Newtonian dynamics, exemplified by the infinities of Newtonian uniformly accelerated motion. The paper's main section uses thought experiments with the exchange of flashes of light of null duration between two inertial reference frames to derive th…

Millikelvin-precision temperature sensing for advanced cryogenic detectors
Maria Antonova, Jordi Cap\'o, Anselmo Cervera, Pablo Fern\'andez, Miguel \'A. Garc\'ia-Peris, Xavier Pons
https://arxiv.org/abs/2506.06022

Millikelvin-precision temperature sensing for advanced cryogenic detectors
Precise temperature monitoring -- to the level of a few milli-Kelvin -- is essential for the operation of large-scale cryostats requiring a recirculation system. In particular, the performance of Liquid Argon Time Projection Chambers -- such as those planned for the DUNE experiment -- strongly relies on proper argon purification and mixing, which can be characterized by a sufficiently dense grid of high-precision temperature probes. In this article, we present a novel technique for the cross-ca…

Subgame Perfect Nash Equilibria in Large Reinsurance Markets
Maria Andraos, Mario Ghossoub, Michael B. Zhu
https://arxiv.org/abs/2506.07291 https://…

Subgame Perfect Nash Equilibria in Large Reinsurance Markets
We consider a model of a reinsurance market consisting of multiple insurers on the demand side and multiple reinsurers on the supply side, thereby providing a unifying framework and extension of the recent literature on optimality and equilibria in reinsurance markets. Each insurer has preferences represented by a general Choquet risk measure and can purchase coverage from any or all reinsurers. Each reinsurer has preferences represented by a general Choquet risk measure and can provide coverag…

Torsion in Persistent Homology and Neural Networks
Maria Walch
https://arxiv.org/abs/2506.03049 https://arxiv.org/pdf/2506.03049

Torsion in Persistent Homology and Neural Networks
We explore the role of torsion in hybrid deep learning models that incorporate topological data analysis, focusing on autoencoders. While most TDA tools use field coefficients, this conceals torsional features present in integer homology. We show that torsion can be lost during encoding, altered in the latent space, and in many cases, not reconstructed by standard decoders. Using both synthetic and high-dimensional data, we evaluate torsion sensitivity to perturbations and assess its recoverabi…

CapVest-owned Datasite, which offers workflow automation tech for dealmaking, acquires Grata, which helps users with all aspects of the deal process, for $200M (Maria Armental/Wall Street Journal)
https://www.wsj.com/articles/private-equi…

Wir freuen uns sehr über die Ehrung von Göttingen als 77te "#EPS historic site" und insbesondere auch die reichlichen Erwähnungen von Mathematikern, wie #Hilbert, #Klein,

🇺🇦 #NowPlaying on BBCRadio3's #EssentialClassics
Philhamonia Orchestra, Giacomo Puccini, Maria Callas & Tullio Serafin:
🎵 Un bel dì vedremo (Madam Butterfly)
#PhilhamoniaOrchestra #GiacomoPuccini #MariaCallas #TullioSerafin

Magnetic Burial in Millisecond Magnetars and Late GRB Afterglow Signatures
Nissim Fraija, Cristian Giovanni Bernal, Antonio Galv\'an, Boris Betancourt-Kamenetskaia, Maria Giovanna Dainotti
https://arxiv.org/abs/2506.09402

Magnetic Burial in Millisecond Magnetars and Late GRB Afterglow Signatures
Millisecond magnetars, one of the potential candidates for the central engine of Gamma-ray bursts (GRBs), can experience significant magnetic field enhancement shortly after their formation. In some cases, this evolution is further influenced by the accretion of stellar debris, which modifies the dipole magnetic field strength. During a hypercritical accretion phase that lasts seconds or longer after the progenitor explosion, a thin crust may form, submerging the magnetic field (the so-called m…

The Elastic Analysis Facility's (EAF's) Contribution to the Future of Analysis at Multi-Experiment Institutions and Future Colliders
Elise Chavez, Maria Acosta-Flechas, Christophe Bonnaud, Burt Holzman, Tulika Bose
https://arxiv.org/abs/2506.08222

The Elastic Analysis Facility's (EAF's) Contribution to the Future of Analysis at Multi-Experiment Institutions and Future Colliders
The Elastic Analysis Facility (EAF) hosted at Fermi National Accelerator Laboratory (Fermilab) is a platform being developed with the goal of providing a fast and efficient facility for physics analysis. As high-energy physics moves towards collecting larger datasets, such as those from the High-Luminosity LHC, the EAF strives to provide a powerful and adaptable framework for future colliders and multi-experiment institutions. Currently, the EAF supports several experiments including CMS, NOvA,…

A Privacy-Preserving Federated Learning Framework for Generalizable CBCT to Synthetic CT Translation in Head and Neck
Ciro Benito Raggio, Paolo Zaffino, Maria Francesca Spadea
https://arxiv.org/abs/2506.08654

A Privacy-Preserving Federated Learning Framework for Generalizable CBCT to Synthetic CT Translation in Head and Neck
Shortened Abstract Cone-beam computed tomography (CBCT) has become a widely adopted modality for image-guided radiotherapy (IGRT). However, CBCT suffers from increased noise, limited soft-tissue contrast, and artifacts, resulting in unreliable Hounsfield unit values and hindering direct dose calculation. Synthetic CT (sCT) generation from CBCT addresses these issues, especially using deep learning (DL) methods. Existing approaches are limited by institutional heterogeneity, scanner-dependent …

Stealix: Model Stealing via Prompt Evolution
Zhixiong Zhuang, Hui-Po Wang, Maria-Irina Nicolae, Mario Fritz
https://arxiv.org/abs/2506.05867 https://

Stealix: Model Stealing via Prompt Evolution
Model stealing poses a significant security risk in machine learning by enabling attackers to replicate a black-box model without access to its training data, thus jeopardizing intellectual property and exposing sensitive information. Recent methods that use pre-trained diffusion models for data synthesis improve efficiency and performance but rely heavily on manually crafted prompts, limiting automation and scalability, especially for attackers with little expertise. To assess the risks posed …

Safety-Driven Response Adaptive Randomisation: An Application in Non-inferiority Oncology Trials
Maria Vittoria Chiaruttini, Lukas Pin, Sofia S. Villar
https://arxiv.org/abs/2506.08864

Safety-Driven Response Adaptive Randomisation: An Application in Non-inferiority Oncology Trials
The majority of response-adaptive randomisation (RAR) designs in the literature use efficacy data to dynamically allocate patients. Their applicability in settings where the efficacy measure is observable with a random delay, such as overall survival, remains challenging. This paper introduces a RAR design referred to as SAFER (Safety-Aware Flexible Elastic Randomisation) design, which uses early-emerging safety data to inform treatment allocation decisions in oncology trials. However, the desi…

Rational and non-rational two-dimensional conformal field theories arising from lattices
Maria Stella Adamo, Luca Giorgetti, Yoh Tanimoto
https://arxiv.org/abs/2506.01008

Rational and non-rational two-dimensional conformal field theories arising from lattices
For a (finite-dimensional) real Hilbert space $\mathfrak h$ and an orthogonal projection $p$, we consider the associated Heisenberg Lie algebra and the two-dimensional Heisenberg conformal net. Given an even lattice $Q$ in $\mathfrak h$ with respect to the indefinite bilinear form on $\mathfrak h$ defined by $p$, we construct a two-dimensional conformal net ${\mathcal A}_Q$ extending the Heisenberg conformal net. Moreover, with a certain discreteness assumption on the spectrum of the extension,…

Are you looking to accurately measure your organisation's current progress on the path towards digital transformation?
Take the OAV Maturity Model survey!
Developed by the Network eAcademy team of the GÉANT project, it’s designed to help #NRENs and R&E organisations assess where they are on their Orchestration, Automation, and Virtualisation (OAV) journey, and map out the next st…

Orchestration, Automation and Virtualisation (OAV) Maturity Model: a tool to assess where you are and help you reach the next level | GÉANT CONNECT Online
Words: Maria Isabel Gandia Carriedo (CSUC) and Eldis Mujaric (CARNET) Organisations with advanced capabilities in Orchestration, Automation and Virtualisation (OAV) are more likely to succeed in their path towards digital transformation. But how can the progress in these areas be accurately measured? And how can organisations identify the actions needed to drive further advancement? Maturity Models

Analysis of cost-efficiency of serverless approaches
Nakhat Syeda, Harsh Shah, Rajvinder Singh, Suraj Jaju, Sumedha Kumar, Gourav Chhabra, Maria Spichkova
https://arxiv.org/abs/2506.05836

Analysis of cost-efficiency of serverless approaches
In this paper, we present a survey of research studies related to the cost-effectiveness of serverless approach and corresponding cost savings. We conducted a systematic literature review using Google Scholar search engine, covering the period from 2010 to 2024. We identified 34 related studies, from which we extracted 17 parameters that might influence the relative cost savings of applying the serverless approach.

The VMC Survey -- LIV. Anomalous Cepheids in the Magellanic Clouds Period-Luminosity relations in the near-infrared bands
Teresa Sicignano, Vincenzo Ripepi, Marina Rejkuba, Martino Romaniello, Marcella Marconi, Roberto Molinaro, Anupam Bhardwaj, Giulia De Somma, Maria-Rosa Cioni, Felice Cusano, Gisella Clementini, Richard de Grijs, Valentin Ivanov, Jesper Storm, Martin Groenewegen

The VMC Survey -- LIV. Anomalous Cepheids in the Magellanic Clouds Period-Luminosity relations in the near-infrared bands
Anomalous Cepheids (ACs) are less studied metal-poor pulsating stars ([Fe/H]<-1.5) compared to Classical Cepheids (CCs) and RR Lyrae stars. They follow distinct Period-Luminosity (PL) and Period-Wesenheit (PW) relations and pulsate in either the fundamental (F) or first overtone (1O) mode. Our goal is to assess the precision and accuracy of AC-based distances and evaluate their potential for establishing an independent distance scale. We derive new PL and PW relations for F-mode, 1O-mode, and, …

Curate, Connect, Inquire: A System for Findable Accessible Interoperable and Reusable (FAIR) Human-Robot Centered Datasets
Xingru Zhou, Sadanand Modak, Yao-Cheng Chan, Zhiyun Deng, Luis Sentis, Maria Esteva
https://arxiv.org/abs/2506.00220

Curate, Connect, Inquire: A System for Findable Accessible Interoperable and Reusable (FAIR) Human-Robot Centered Datasets
The rapid growth of AI in robotics has amplified the need for high-quality, reusable datasets, particularly in human-robot interaction (HRI) and AI-embedded robotics. While more robotics datasets are being created, the landscape of open data in the field is uneven. This is due to a lack of curation standards and consistent publication practices, which makes it difficult to discover, access, and reuse robotics data. To address these challenges, this paper presents a curation and access system wi…

A Vertical Approach to Designing and Managing Sustainable Heterogeneous Edge Data Centers
Aikaterini Maria Panteleaki, Varatheepan Paramanayakam, Vasileios Pentsos, Andreas Karatzas, Spyros Tragoudas, Iraklis Anagnostopoulos
https://arxiv.org/abs/2506.01712

A Vertical Approach to Designing and Managing Sustainable Heterogeneous Edge Data Centers
The increasing demand for Artificial Intelligence (AI) computing poses significant environmental challenges, with both operational and embodied carbon emissions becoming major contributors. This paper presents a carbon-aware holistic methodology for designing and managing sustainable Edge Data Centers (EDCs), based on three design principles that challenge the state-of-the-art optimization paradigms. Our approach employs vertical integration across the architecture, system, and runtime layers, …

🇺🇦 #NowPlaying on BBCRadio3's #EssentialClassics
Philhamonia Orchestra, Giacomo Puccini, Maria Callas & Tullio Serafin:
🎵 Un bel dì vedremo (Madam Butterfly)
#PhilhamoniaOrchestra #GiacomoPuccini #MariaCallas #TullioSerafin

Topotactic oxidation of Ruddlesden-Popper nickelates reveals new structural family: oxygen-intercalated layered perovskites
Dan Ferenc Segedin, Jinkwon Kim, Harrison LaBollita, Nicole K. Taylor, Kyeong-Yoon Baek, Suk Hyun Sung, Ari B. Turkiewicz, Grace A. Pan, Abigail Y. Jiang, Maria Bambrick-Santoyo, Tobias Schwaigert, Casey K. Kim, Anirudh Tenneti, Alexander J. Grutter, Shin Muramoto, Alpha T. N'Diaye, Ismail El Baggari, Donald A. Walko, Hua Zhou, Charles M. Brooks, Antia S. Bota…

Topotactic oxidation of Ruddlesden-Popper nickelates reveals new structural family: oxygen-intercalated layered perovskites
Layered perovskites such as the Dion-Jacobson, Ruddlesden-Popper, and Aurivillius families host a wide range of correlated electron phenomena, from high-temperature superconductivity to multiferroicity. Here we report a new family of layered perovskites, realized through topotactic oxygen intercalation of La_{n+1}Ni_{n}O_{3n+1} (n=1-4) Ruddlesden-Popper nickelate thin films grown by ozone-assisted molecular-beam epitaxy. Post-growth ozone annealing induces a large c-axis expansion - 17.8% for L…

Impact of the $(\ell=2,m=0)$ spherical harmonic mode with memory on parameter estimation for ground-based detectors
Maria Rossell\'o-Sastre, Sascha Husa, Sayantani Bera, Yumeng Xu
https://arxiv.org/abs/2506.05859

Impact of the $(\ell=2,m=0)$ spherical harmonic mode with memory on parameter estimation for ground-based detectors
We recently presented an efficient and accurate waveform model for the $(2,0)$ spherical harmonic mode including both the displacement memory contribution and the ringdown oscillations for aligned-spin binary black holes in quasi-circular orbits. The model we developed is constructed in time domain and implemented within the computationally efficient IMRPhenomTHM waveform model. In this article, we employ it to perform in-depth parameter estimation studies for future ground-based detectors, spe…

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Heitor Villa‐Lobos, Lukasz Kuropaczewski, Polish Radio Symphony Orchestra & José Maria Florêncio:
🎵 Guitar Concerto
#HeitorVillaLobos #LukaszKuropaczewski #PolishRadioSymphonyOrchestra #JoséMariaFlorêncio

Lions and Muons: Optimization via Stochastic Frank-Wolfe
Maria-Eleni Sfyraki, Jun-Kun Wang
https://arxiv.org/abs/2506.04192 https://a…

Lions and Muons: Optimization via Stochastic Frank-Wolfe
Stochastic Frank-Wolfe is a classical optimization method for solving constrained optimization problems. On the other hand, recent optimizers such as Lion and Muon have gained quite significant popularity in deep learning. In this work, we provide a unifying perspective by interpreting these seemingly disparate methods through the lens of Stochastic Frank-Wolfe. Specifically, we show that Lion and Muon with weight decay can be viewed as special instances of a Stochastic Frank-Wolfe, and we esta…

Quantum Acoustics with Tunable Nonlinearity in the Superstrong Coupling Regime
Marco Scigliuzzo, L\'eo Peyruchat, Riccardo Maria Marabini, Carla Becker, Vincent Jouanny, Per Delsing, Pasquale Scarlino
https://arxiv.org/abs/2505.24865

Quantum Acoustics with Tunable Nonlinearity in the Superstrong Coupling Regime
Precise control of mechanical modes in the quantum regime is a key resource for quantum technologies, offering promising pathways for quantum sensing with macroscopic systems and scalable architectures for quantum simulation. In this work, we realise a multimode mechanical cavity coupled to a superconducting Kerr resonator, which induces nonlinearity in the mechanical modes. The Kerr mode is realised by a flux-tunable SQUID array resonator, while the mechanical modes are implemented by a surfac…

Fundamental Parameters for Central Stars of 103 Infrared Bowshock Nebulae
Nikhil Patten, Henry A. Kobulnicky, Matthew S. Povich, Angelica S. Whisnant, Sydney Andrews, Alexandra Boone, Srujan Dandu, Naomi Jones, S. Nick Justice, Dylan Hope, Alexander Larsen, Ryan McCrory, Julia Meredith, Maria Renee Meza, Alexandra C. Rosenthal, William Salazar, Alexander R. Sterling, Noshin Yesmin, Daniel A. Dale

Fundamental Parameters for Central Stars of 103 Infrared Bowshock Nebulae
Stellar bowshock nebulae are arcuate shock fronts formed by the interaction of radiation-driven stellar winds and the relative motion of the ambient interstellar material. Stellar bowshock nebulae provide a promising means to measure wind-driven mass loss, independent of other established methods. In this work, we characterize the stellar sources at the center of bowshock nebulae drawn from all-sky catalogs of 24 $μ$m-selected nebulae. We obtain new, low-resolution blue optical spectra for \nu…

XRISM Spectroscopy of the Stellar-Mass Black Hole 4U 1630-472 in Outburst
Jon M. Miller (Univ. of Michigan), Misaki Mizumoto (Univ. of Teacher Education Fukuoka), Megumi Shidatsu (Ehime University), Ralf Ballhausen (Univ. of Maryland, College Park, NASA/GSFC, CRESST), Ehud Behar (Technion), Maria Diaz Trigo (ESO), Chris Done (Univ. of Durham), Tadayasu Dotani (ISAS), Javier Garcia (Caltech), Timothy Kallman (NASA/GSFC), Shogo B. Kobayashi (Tokyo Univ. of Science), Aya Kubota (Shibaura …

XRISM Spectroscopy of the Stellar-Mass Black Hole 4U 1630-472 in Outburst
We report on XRISM/Resolve spectroscopy of the recurrent transient and well-known black hole candidate 4U 1630$-$472 during its 2024 outburst. The source was captured at the end of a disk-dominated high/soft state, at an Eddington fraction of $λ_\mathrm{Edd} \sim 0.05~(10 M_{\odot}/M_\mathrm{BH})$. A variable absorption spectrum with unprecedented complexity is revealed with the Resolve calorimeter. This marks one of the lowest Eddington fractions at which highly ionized absorption has been de…

🇺🇦 #NowPlaying on KEXP's #MorningShow
Bacao Rhythm & Steel Band:
🎵 Nautilus
#BacaoRhythm #SteelBand
https://bacaorhythmandsteelband.bandcamp.com/album/nautilus-b-w-maria-tambi-n
https://open.spotify.com/track/43vuibUFDVKdaXkKGRo56D

🇺🇦 #NowPlaying on BBCRadio3's #InTune
Giuseppe Verdi, Francesco Maria Piave, Alexandre Dumas, Angela Gheorghiu, Frank Lopardo, Orchestra of the Royal Opera House, Covent Garden & Georg Solti:
🎵 La traviata, Act I: Follie! Follie! ...Sempre libera
#Spotify

Black-box Adversarial Attacks on CNN-based SLAM Algorithms
Maria Rafaela Gkeka, Bowen Sun, Evgenia Smirni, Christos D. Antonopoulos, Spyros Lalis, Nikolaos Bellas
https://arxiv.org/abs/2505.24654

Black-box Adversarial Attacks on CNN-based SLAM Algorithms
Continuous advancements in deep learning have led to significant progress in feature detection, resulting in enhanced accuracy in tasks like Simultaneous Localization and Mapping (SLAM). Nevertheless, the vulnerability of deep neural networks to adversarial attacks remains a challenge for their reliable deployment in applications, such as navigation of autonomous agents. Even though CNN-based SLAM algorithms are a growing area of research there is a notable absence of a comprehensive presentati…

LPASS: Linear Probes as Stepping Stones for vulnerability detection using compressed LLMs
Luis Ibanez-Lissen, Lorena Gonzalez-Manzano, Jose Maria de Fuentes, Nicolas Anciaux
https://arxiv.org/abs/2505.24451

LPASS: Linear Probes as Stepping Stones for vulnerability detection using compressed LLMs
Large Language Models (LLMs) are being extensively used for cybersecurity purposes. One of them is the detection of vulnerable codes. For the sake of efficiency and effectiveness, compression and fine-tuning techniques are being developed, respectively. However, they involve spending substantial computational efforts. In this vein, we analyse how Linear Probes (LPs) can be used to provide an estimation on the performance of a compressed LLM at an early phase -- before fine-tuning. We also show …

Localized Functional Principal Component Analysis Based on Covariance Structure
Maria Laura Battagliola, Jan O. Bauer
https://arxiv.org/abs/2506.02836 http…

Localized Functional Principal Component Analysis Based on Covariance Structure
Functional principal component analysis (FPCA) is a widely used technique in functional data analysis for identifying the primary sources of variation in a sample of random curves. The eigenfunctions obtained from standard FPCA typically have non-zero support across the entire domain. In applications, however, it is often desirable to analyze eigenfunctions that are non-zero only on specific portions of the original domain-and exhibit zero regions when little is contributed to a specific direct…

🇺🇦 #NowPlaying on BBCRadio3's #ThisClassicalLife
Astor Piazzolla & Astor Piazzolla:
🎵 Ave Maria
#AstorPiazzolla
https://open.spotify.com/track/2y68aYUCa0bC7hwU1NcpvR

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Johann Sebastian Bach, Maria Sanner, Anders J. Dahlin, Les Ambassadeurs & Alexis Kossenko:
🎵 Cantata BWV.134 'Wir danken und preisen'
#JohannSebastianBach #MariaSanner #AndersJDahlin #LesAmbassadeurs #AlexisKossenko

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Francesca Caccini, Suzie LeBlanc, Tragicomedia & Stephen Stubbs:
🎵 Maria, dolce Maria - from Il primo libro delle musiche a una, e due voci
#FrancescaCaccini #SuzieLeBlanc #Tragicomedia #StephenStubbs

🇺🇦 #NowPlaying on BBCRadio3's #EssentialClassics
Frédéric Chopin & Maria João Pires:
🎵 Nocturne in D flat major, Op 27 No 2
#FrédéricChopin #MariaJoãoPires
https://open.spotify.com/track/4jEttEJOIVZyK82LsHGNBF