Tootfinder

On Variations in GB Grid Electricity CO2 Intensity: Samples - CO2 per grid kWh by h/d/m/y. - https://www.earth.org.uk/note-on-UK-grid-CO2-intensity-variations.html

On Variations in GB Grid Electricity CO2 Intensity: Samples
CO2 per grid kWh by h/d/m/y.

"I want to establish a wide range and play all kinds of parts. It's that sort of acting career I really respect. I like to turn a sharp left from whatever I've done before because that keeps me awake. That's why I want to be an actor - I don't want to play endless variations on one character."
-Tim Curry
#acting

On the axioms for a unqiue factorization domain
Scott T. Chapman, Jim Coykendall
https://arxiv.org/abs/2507.05188 https://arxiv.org/p…

On the axioms for a unqiue factorization domain
With the growing evolution of the theory of non-unique factorization in integral domains and monoids, the study of several variations to the classical unique factorization domain (or UFD) property have become popular in the literature. Using one of these variations, the length-factorial property, it can be shown that part of the standard classical axioms used in the definition of a UFD is essentially superfluous.

🔊 #NowPlaying on #BBCRadio3:
#BBCProms
- 2025
Live at the BBC Proms: the BBC Symphony Orchestra conducted by Joseph Pons in Rachmaninov's 'Paganini' Variations, with Beatrice Rana, and Bartok's knockout Miraculous Mandarin.
Relisten now 👇
https://www.bbc.co.uk/programmes/m002gf22

Survey of Profile Parameters of the $6196 \AA$ Diffuse Interstellar Band. From Uniform Profiles to Doppler Splitting and Blueshifts
M. Piecka, S. Hutschenreuter, J. Alves
https://arxiv.org/abs/2509.04915

Survey of Profile Parameters of the $6196 Å$ Diffuse Interstellar Band. From Uniform Profiles to Doppler Splitting and Blueshifts
The diffuse interstellar band (DIB) at 6196 A exhibits notable profile variations across the Milky Way. This study addresses three open issues: the unusual broadening of the DIB profile towards Upper Sco (USco), the lack of profile variations towards stars near $η$ Car, and the origin of the blueshift observed in Sco OB1. Using archival spectra of 453 early-type stars across the Galactic disk and in its proximity, we created a catalogue of the DIB's profile parameters. Our analysis identified …

ToM-SSI: Evaluating Theory of Mind in Situated Social Interactions
Matteo Bortoletto, Constantin Ruhdorfer, Andreas Bulling
https://arxiv.org/abs/2509.05066 https://

ToM-SSI: Evaluating Theory of Mind in Situated Social Interactions
Most existing Theory of Mind (ToM) benchmarks for foundation models rely on variations of the Sally-Anne test, offering only a very limited perspective on ToM and neglecting the complexity of human social interactions. To address this gap, we propose ToM-SSI: a new benchmark specifically designed to test ToM capabilities in environments rich with social interactions and spatial dynamics. While current ToM benchmarks are limited to text-only or dyadic interactions, ToM-SSI is multimodal and incl…

Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models
Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu
https://arxiv.org/abs/2506.06242

Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models
Recent advancements in multimodal large language models have driven breakthroughs in visual question answering. Yet, a critical gap persists, `conceptualization'-the ability to recognize and reason about the same concept despite variations in visual form, a basic ability of human reasoning. To address this challenge, we introduce the Visual Graph Arena (VGA), a dataset featuring six graph-based tasks designed to evaluate and improve AI systems' capacity for visual abstraction. VGA uses diverse …

FCBV-Net: Category-Level Robotic Garment Smoothing via Feature-Conditioned Bimanual Value Prediction
Mohammed Daba, Jing Qiu
https://arxiv.org/abs/2508.05153 https://

FCBV-Net: Category-Level Robotic Garment Smoothing via Feature-Conditioned Bimanual Value Prediction
Category-level generalization for robotic garment manipulation, such as bimanual smoothing, remains a significant hurdle due to high dimensionality, complex dynamics, and intra-category variations. Current approaches often struggle, either overfitting with concurrently learned visual features for a specific instance or, despite category-level perceptual generalization, failing to predict the value of synergistic bimanual actions. We propose the Feature-Conditioned Bimanual Value Network (FCBV-N…

GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks
Muhammad Hadir Khan, Matthew Guthaus
https://arxiv.org/abs/2507.05681 https://

GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks
Clock meshes are essential in high-performance VLSI systems for minimizing skew and handling PVT variations, but analyzing them is difficult due to reconvergent paths, multi-source driving, and input mesh buffer skew. SPICE simulations are accurate but slow; yet simplified models miss key effects like slew and input skew. We propose GATMesh, a Graph Neural Network (GNN)-based framework that models the clock mesh as a graph with augmented structural and physical features. Trained on SPICE data, …

PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans
Jiacheng Hao, Xiaoming Zhang, Wei Liu, Xiaoli Yin, Yuan Gao, Chunli Li, Ling Zhang, Le Lu, Yu Shi, Xu Han, Ke Yan
https://arxiv.org/abs/2507.03872

PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans
Focal liver lesions (FLL) are common clinical findings during physical examination. Early diagnosis and intervention of liver malignancies are crucial to improving patient survival. Although the current 3D segmentation paradigm can accurately detect lesions, it faces limitations in distinguishing between malignant and benign liver lesions, primarily due to its inability to differentiate subtle variations between different lesions. Furthermore, existing methods predominantly rely on specialized …

Modeling Item-Level Dynamic Variability with Residual Diffusion for Bundle Recommendation
Dong Zhang, Lin Li, Ming Li, Xiaohui Tao, Meng Sun, Jimmy Xiangji Huang
https://arxiv.org/abs/2507.03280

Modeling Item-Level Dynamic Variability with Residual Diffusion for Bundle Recommendation
Existing solutions for bundle recommendation(BR) have achieved remarkable effectiveness for predicting the user's preference for prebuilt bundles. However, bundle-item(B-I) affiliation will vary dynamically in real scenarios. For example, a bundle themed as 'casual outfit', may add 'hat' or remove 'watch' due to factors such as seasonal variations, changes in user pes or inventory adjustments. Our empirical study demonstrates that the performance of mainstream BR models will fluctuate or even d…

Speech Quality Assessment Model Based on Mixture of Experts: System-Level Performance Enhancement and Utterance-Level Challenge Analysis
Xintong Hu, Yixuan Chen, Rui Yang, Wenxiang Guo, Changhao Pan
https://arxiv.org/abs/2507.06116

Speech Quality Assessment Model Based on Mixture of Experts: System-Level Performance Enhancement and Utterance-Level Challenge Analysis
Automatic speech quality assessment plays a crucial role in the development of speech synthesis systems, but existing models exhibit significant performance variations across different granularity levels of prediction tasks. This paper proposes an enhanced MOS prediction system based on self-supervised learning speech models, incorporating a Mixture of Experts (MoE) classification head and utilizing synthetic data from multiple commercial generation models for data augmentation. Our method buil…

Compact stars with gravitational wave echoes in $f(R,L_{m},T)$ gravitational theory
Meghanil Sinha, S. Surendra Singh
https://arxiv.org/abs/2508.04736 https://

Compact stars with gravitational wave echoes in $f(R,L_{m},T)$ gravitational theory
This work explores the gravitational wave echoes (GWEs) from the compact stellar configurations in the backdrop of $f(R,L_{m},T)$ gravity within static and spherically symmetric framework. Our study has utilized the MIT Bag model and color-favour-locked (CFL) phase equations of state (EoS) for matter description. Mass-radius profiles were determined by solving the hydrostatic equilibrium equations. Model parameter variations were used to assess the configuration stability here. TOV solutions he…

Quadratic relations for ninth variations of Schur functions and application to Schur multiple zeta functions
Wataru Takeda, Yoshinori Yamasaki
https://arxiv.org/abs/2508.03150 h…

Quadratic relations for ninth variations of Schur functions and application to Schur multiple zeta functions
Macdonald's ninth variation of Schur functions is a broad generalization of the classical Schur function and its variants, defined via the Jacobi-Trudi determinant formula. In this paper, we establish various algebraic relations for $S^{(r)}_{λ/μ}(X)$, a class of the ninth variation introduced by Nakagawa, Noumi, Shirakawa, and Yamada, by combining the Jacobi-Trudi formula with determinant formulas such as the Desnanot-Jacobi adjoint matrix theorem and the Plücker relations, which generalize…

12-Years Observation of Seasonal Variation of Atmospheric Neutrino Flux with IceCube
Shuyang Deng (for the IceCube Collaboration)
https://arxiv.org/abs/2507.06155

12-Years Observation of Seasonal Variation of Atmospheric Neutrino Flux with IceCube
High-energy atmospheric muon neutrinos are detected by the IceCube Neutrino Observatory with a high rate of almost a hundred thousand events per year. Being mainly produced in meson decays in cosmic-ray-induced air showers in the upper atmosphere, the flux of these neutrinos is expected to depend on atmospheric conditions and thus features a seasonal variation. The correlation between temperature fluctuations and variations of the neutrino rates can be described with a slope parameter $α$, who…

The origin of long-range links of air pollution in China
Qiuyue Li, Daqing Li, Yossi Ashkenazy, Shlomo Havlin
https://arxiv.org/abs/2509.05974 https://arxi…

The origin of long-range links of air pollution in China
Weather conditions significantly influence the formation and dispersion of pollution variations. Here we study networks of pollution as well as climate networks and find that pollutants may not only have an impact close to their source but also show a significant correlation with pollutant concentrations thousands of kilometers away. We develop a pollution network model based on cross-correlation between PM2.5 concentration time series in different sites in China to detect stable long-range lin…

The Atacama Cosmology Telescope: DR6 Power Spectrum Foreground Model and Validation
Benjamin Beringue, Kristen M. Surrao, J. Colin Hill, Zachary Atkins, Nicholas Battaglia, Boris Bolliet, Erminia Calabrese, Steve K. Choi, Susan E. Clark, Adriaan J. Duivenvoorden, Jo Dunkley, Serena Giardiello, Samuel Goldstein, Brandon S. Hensley, Ren\'ee Hlo\v{z}ek, Hidde T. Jense, Darby Kramer, Adrien La Posta, Thibaut Louis, Yogesh Mehta, Kavilan Moodley, Sigurd Naess, Bruce Partridge, Frank J. …

The Atacama Cosmology Telescope: DR6 Power Spectrum Foreground Model and Validation
We discuss the model of astrophysical emission at millimeter wavelengths used to characterize foregrounds in the multi-frequency power spectra of the Atacama Cosmology Telescope (ACT) Data Release 6 (DR6), expanding on Louis et al. (2025). We detail several tests to validate the capability of the DR6 parametric foreground model to describe current observations and complex simulations, and show that cosmological parameter constraints are robust against model extensions and variations. We demonst…

Velocity optimization of self-equilibrated obstacles in a two-dimensional viscous flow
Gilles A. Francfort, Alessandro Giacomini, Scott Weady
https://arxiv.org/abs/2508.05481 ht…

Velocity optimization of self-equilibrated obstacles in a two-dimensional viscous flow
An obstacle is immersed in an externally driven 2D Stokes or Navier-Stokes fluid. We study the self-equilibration conditions for that obstacle under steady state assumptions on the flow. We then seek to optimize the translational and/or angular velocity of the obstacle by varying its shape. To allow general variations, we must consider a very large class of obstacles for which the notion of trace is meaningless. This forces us to revisit the notion of self-equilibration for both Stokes and Navi…

At this point, C# should introduce multiple return types as a syntactic part of the language. Bending generics to this extent seems like an abuse of the original intent.

Replaced article(s) found for physics.bio-ph. https://arxiv.org/list/physics.bio-ph/new
[1/1]:
- Nanoscale cuticle mass density variations influenced by pigmentation in butterfly wing scales
Balakrishnan, Prakash, Daurer, Finet, Lim, Shen, Thibault, Monteiro, Loh…

A high mutual inclination system around KOI-134 revealed by transit timing variations
Emma Nabbie, Chelsea X. Huang, Judith Korth, Hannu Parviainen, Su Wang, Alexander Venner, Robert Wittenmyer, Allyson Bieryla, David W. Latham, Gongjie Li, Douglas N. C. Lin, George Zhou
https://arxiv.org/abs/2507.02238

A high mutual inclination system around KOI-134 revealed by transit timing variations
Few planetary systems have measured mutual inclinations, and even less are found to be non-coplanar. Observing the gravitational interactions between exoplanets is an effective tool to detect non-transiting companions to transiting planets. Evidence of these interactions can manifest in the light curve through transit timing variations (TTVs) and transit duration variations (TDVs). Through analysis of Kepler photometry and joint TTV-TDV modeling, we confirm the detection of KOI-134 b, a transit…

InterGSEdit: Interactive 3D Gaussian Splatting Editing with 3D Geometry-Consistent Attention Prior
Minghao Wen, Shengjie Wu, Kangkan Wang, Dong Liang
https://arxiv.org/abs/2507.04961

InterGSEdit: Interactive 3D Gaussian Splatting Editing with 3D Geometry-Consistent Attention Prior
3D Gaussian Splatting based 3D editing has demonstrated impressive performance in recent years. However, the multi-view editing often exhibits significant local inconsistency, especially in areas of non-rigid deformation, which lead to local artifacts, texture blurring, or semantic variations in edited 3D scenes. We also found that the existing editing methods, which rely entirely on text prompts make the editing process a "one-shot deal", making it difficult for users to control the editing de…

LOOM-Scope: a comprehensive and efficient LOng-cOntext Model evaluation framework
Zecheng Tang, Haitian Wang, Quantong Qiu, Baibei Ji, Ruoxi Sun, Keyan Zhou, Juntao Li, Min Zhang
https://arxiv.org/abs/2507.04723

LOOM-Scope: a comprehensive and efficient LOng-cOntext Model evaluation framework
Long-context processing has become a fundamental capability for large language models~(LLMs). To assess model's long-context performance, numerous long-context evaluation benchmarks have been proposed. However, variations in evaluation settings across these benchmarks lead to inconsistent results, making it difficult to draw reliable comparisons. Besides, the high computational cost of long-context evaluation poses a significant barrier for the community to conduct comprehensive assessments of …

The Anisotropic Interface Continuum Solvation Model and the Finite-Element Anisotropic Poisson Solver
Ziwei Chai, Sandra Luber
https://arxiv.org/abs/2508.05577 https://

The Anisotropic Interface Continuum Solvation Model and the Finite-Element Anisotropic Poisson Solver
We propose an anisotropic interfacial continuum solvation (AICS) model to simulate the distinct in-plane and out-of-plane dielectric constants of liquids near solid-liquid interfaces and their spatial variations along the surface normal direction. In low-electron-density regions, each dielectric function in the diagonal components of a dielectric tensor varies monotonically with distance from the solid surface along the surface normal; in high-electron-density regions near the surface, each die…

Adaptive Variation-Resilient Random Number Generator for Embedded Encryption
Furqan Zahoor, Ibrahim A. Albulushi, Saleh Bunaiyan, Anupam Chattopadhyay, Hesham ElSawy, Feras Al-Dirini
https://arxiv.org/abs/2507.05523

Adaptive Variation-Resilient Random Number Generator for Embedded Encryption
With a growing interest in securing user data within the internet-of-things (IoT), embedded encryption has become of paramount importance, requiring light-weight high-quality Random Number Generators (RNGs). Emerging stochastic device technologies produce random numbers from stochastic physical processes at high quality, however, their generated random number streams are adversely affected by process and supply voltage variations, which can lead to bias in the generated streams. In this work, w…

Direct observation of locally modified excitonic effect within a moir\'e unit cell in twisted bilayer graphene
Ming Liu, Ryosuke Senga, Masanori Koshino, Yung-Chang Lin, Kazu Suenaga
https://arxiv.org/abs/2507.05560

Direct observation of locally modified excitonic effect within a moiré unit cell in twisted bilayer graphene
Bilayer graphene, forming moiré superlattices, possesses distinct electronic and optical properties derived from the hybridization of energy band and the emergence of van Hove singularities depending on its twist angle. Extensive research has been conducted on the global characteristics of moiré superlattice induced by long-range periodicity. However, limited attention has been given to the local properties within a moiré unit cell, which undoubtedly differ due to the variations in three-dim…

Towards an Accurate and Effective Robot Vision (The Problem of Topological Localization for Mobile Robots)
Emanuela Boros
https://arxiv.org/abs/2509.04948 https://

Towards an Accurate and Effective Robot Vision (The Problem of Topological Localization for Mobile Robots)
Topological localization is a fundamental problem in mobile robotics, since robots must be able to determine their position in order to accomplish tasks. Visual localization and place recognition are challenging due to perceptual ambiguity, sensor noise, and illumination variations. This work addresses topological localization in an office environment using only images acquired with a perspective color camera mounted on a robot platform, without relying on temporal continuity of image sequences…

A Calculus of Variations Approach to Stochastic Control
Matthew Lorig
https://arxiv.org/abs/2509.01744 https://arxiv.org/pdf/2509.01744

A Calculus of Variations Approach to Stochastic Control
We use classical tools from calculus of variations to formally derive necessary conditions for a Markov control to be optimal in a standard finite time horizon stochastic control problem. As an example, we solve the well-known Merton portfolio optimization problem.

For some interesting takes on reasoning (ahem) through variations of old riddles, try prompts like "A man has a wolf, a goat, and a picture of a cabbage. They should cross a river, but there is only a single boat that can carry only 3 living entities at the same time. In which order do the entities cross the river?" with the major LLMs.
H/T @…@…

Replaced article(s) found for math.NT. https://arxiv.org/list/math.NT/new
[1/1]:
- Zhi-Wei Sun's 1-3-5 Conjecture and Variations
Ant\'onio Machiavelo, Nikolaos Tsopanidis

Comparison of the effectiveness and costs of hepatitis A vaccination strategies to mitigate future deaths in the Republic of Korea
Yuna Lim, Yubin Seo, Jacob Lee, Eunok Jung
https://arxiv.org/abs/2509.05373

Comparison of the effectiveness and costs of hepatitis A vaccination strategies to mitigate future deaths in the Republic of Korea
Improved hygiene and infant vaccinations have led to age specific variations in hepatitis A antibody prevalence in Korea, with lower rates among individuals in their 20s to 40s. Given that the fatality rate of hepatitis A increases for those aged 50 and older, the low immunity level among younger adults indicates a future risk of increased deaths in older age groups without additional preventive measures.We developed an age structured transmission model to assess the impact of adult vaccination…

Mesoscale variations of chemical and electronic landscape on the surface of Weyl semimetal Co$_3$Sn$_2$S$_2$ visualized by ARPES and XPS
Sudheer Anand Sreedhar, Matthew Staab, Mingkun Chen, Robert Prater, Zihao Shen, Giuseppina Conti, Ittai Sidilkover, Zhenghong Wu, Eli Rotenberg, Aaron Bostwick, Chris Jozwiak, Hadas Soifer, Slavomir Nemsak, Sergey Y. Savrasov, Vsevolod Ivanov, Valentin Taufour, Inna M. Vishik

Mesoscale variations of chemical and electronic landscape on the surface of Weyl semimetal Co$_3$Sn$_2$S$_2$ visualized by ARPES and XPS
The multiple crystalline terminations in magnetic Weyl semimetal Co$_3$Sn$_2$S$_2$ display distinct topological and trivial surface states, which have successfully been distinguished experimentally. However, a model of pure terminations is known to be inadequate because these surfaces exhibit a high degree of spatial heterogeneity and point disorder. Here we perform a spectromicroscopy study of the surface chemistry and surface electronic structure using photoemission measurements in combinatio…

Toward Efficient Speech Emotion Recognition via Spectral Learning and Attention
HyeYoung Lee, Muhammad Nadeem
https://arxiv.org/abs/2507.03251 https://

Toward Efficient Speech Emotion Recognition via Spectral Learning and Attention
Speech Emotion Recognition (SER) traditionally relies on auditory data analysis for emotion classification. Several studies have adopted different methods for SER. However, existing SER methods often struggle to capture subtle emotional variations and generalize across diverse datasets. In this article, we use Mel-Frequency Cepstral Coefficients (MFCCs) as spectral features to bridge the gap between computational emotion processing and human auditory perception. To further improve robustness an…

Near-field Liquid Crystal RIS Phase-Shift Design for Secure Wideband Illumination
Mohamadreza Delbari, Qikai Zhou, Robin Neuder, Alejandro Jim\'enez-S\'aez, Vahid Jamali
https://arxiv.org/abs/2508.04331

Near-field Liquid Crystal RIS Phase-Shift Design for Secure Wideband Illumination
Liquid crystal (LC) technology provides a low-power and scalable approach to implement a reconfigurable intelligent surface (RIS). However, the LC-based RIS's phase-shift response is inherently frequency-dependent, which can lead to performance degradation if not properly addressed. This issue becomes especially critical in secure communication systems, where such variations may result in considerable information leakage. To avoid the need for full channel state information (CSI) acquisition an…

Satellite-based Rabi rice paddy field mapping in India: a case study on Telangana state
Prashanth Reddy Putta (University of Pavia), Fabio Dell'Acqua (University of Pavia)
https://arxiv.org/abs/2507.05189

Satellite-based Rabi rice paddy field mapping in India: a case study on Telangana state
Accurate rice area monitoring is critical for food security and agricultural policy in smallholder farming regions, yet conventional remote sensing approaches struggle with the spatiotemporal heterogeneity characteristic of fragmented agricultural landscapes. This study developed a phenology-driven classification framework that systematically adapts to local agro-ecological variations across 32 districts in Telangana, India during the 2018-19 Rabi rice season. The research reveals significant s…

Micro-variations in timing and loudness affect music-evoked mental imagery https://www.nature.com/articles/s41598-025-12604-4 "repetitive quasi-isochronous drumming enhanced mental imagery vividness, with a stronger effect observed when the drumming contained random micro-variat…

Micro-variations in timing and loudness affect music-evoked mental imagery - Scientific Reports
Music can shape the vividness, sentiment, and content of directed mental imagery. Yet, the role of specific musical features in these effects remains elusive. One important aspect of human musical performances is the presence of micro-variations—small deviations in timbre, pitch, and timing, driven by motor and attentional processes. These variations enhance perceived “naturalness” compared to mechanical playing without such variations. Here, we investigated whether random micro-variation…

Influence of bone microstructure on ultrasound loss through skull-mimicking digital phantoms
Samuel Clinard, Taylor Webb, Henrik Od\'een, Dennis L. Parker, Douglas A. Christensen
https://arxiv.org/abs/2508.04838

Influence of bone microstructure on ultrasound loss through skull-mimicking digital phantoms
Transcranial focused ultrasound applications often use simulations that require accurate acoustic properties, which can be related to computed tomography (CT) Hounsfield Units (HU). However, clinical CT is insensitive to microstructure. This study examines how bone/marrow microstructure introduces variations in acoustic property relationships to CT HUs. The insertion loss was found through skull-mimicking digital phantoms with two materials (bone/marrow) from 0 to 75% porosity. The phantoms had…

Explanation of the seasonal variation of cosmic multiple muon events observed with the NOvA Near Detector
The NOvA Collaboration
https://arxiv.org/abs/2508.04434 https://…

Explanation of the seasonal variation of cosmic multiple muon events observed with the NOvA Near Detector
The flux of cosmic ray muons at the Earth's surface exhibits seasonal variations due to changes in the temperature of the atmosphere affecting the production and decay of mesons in the upper atmosphere. Using data collected by the NOvA Near Detector during 2018--2022, we studied the seasonal pattern in the multiple-muon event rate. The data confirm an anticorrelation between the multiple-muon event rate and effective atmospheric temperature, consistent across all the years of data. Previous ana…

"""
In the sixteenth century, lunacy was a constant theme that was never questioned. It was still frequent in the seventeenth century, but started to disappear, and by 1707, the year in which Le François asked the question ‘Estne aliquod lunae in corpora humana imperium?’ (Does the moon have any influence over the human body?), after lengthy discussions, the university decided that their reply was in the negative. In the course of the eighteenth century the moon was rarely cited among the causes of madness, even as a possible factor or an aggravation. But right at the end of the century the idea reappears, perhaps under the influence of English medicine, which had never entirely forgotten the moon, and Daquin, followed by Leuret and Guislain, all admitted the influence of the moon on the phases of maniacal excitement, or at the least on the agitation of their patients. But what is important here is not so much the return of the theme as the possibility and conditions necessary for its reappearance. It reappears entirely transformed, filled with a new significance that it did not formerly possess. In its traditional form, it designated an immediate influence, a direct coincidence in time and intersection in space, whose mode of action was entirely situated in the power of the stars. But in Daquin by contrast, the influence of the moon acts through a whole series of mediations, in a kind of hierarchy, surrounding man. The moon acts on the atmosphere with such intensity that it can set in motion a mass as heavy as the ocean. The nervous system, of all the parts that make up the human organism, is the part most sensitive to atmospheric variations, as the slightest variation in temperature, humidity or dryness can have serious effects upon it. The moon therefore, given the important power that its trajectory exerts on the atmosphere, is likely to act most on people whose nervous fibres are particularly delicate:
“Madness is an exclusively nervous condition, and the brain of a madman must therefore be infinitely more susceptible to the influence of the atmosphere, which itself undergoes considerable changes of intensity as a result of the different positions of the moon relative to the earth.” [Daquin, Philosophie de la folie, Paris, 1792]
"""
(Michel Foucault, History of Madness)

Automated Validation of LLM-based Evaluators for Software Engineering Artifacts
Ora Nova Fandina, Eitan Farchi, Shmulik Froimovich, Rami Katan, Alice Podolsky, Orna Raz, Avi Ziv
https://arxiv.org/abs/2508.02827

Automated Validation of LLM-based Evaluators for Software Engineering Artifacts
Automation in software engineering increasingly relies on large language models (LLMs) to generate, review, and assess code artifacts. However, establishing LLMs as reliable evaluators remains an open challenge: human evaluations are costly, subjective and non scalable, while existing automated methods fail to discern fine grained variations in artifact quality. We introduce REFINE (Ranking Evaluators for FIne grained Nuanced Evaluation), an automated framework for benchmarking LLM based eval…

Variations of the crossover and first-order phase transition curve in modeling the QCD equation of state
Joseph I. Kapusta, Shensong Wan
https://arxiv.org/abs/2508.02845 https:/…

Variations of the crossover and first-order phase transition curve in modeling the QCD equation of state
Lattice QCD calculations have shown that the transition from hadrons to quarks and gluons is a rapid crossover at $T = 155-160$ MeV at vanishing chemical potential. Many model calculations show that the transition is first-order at sufficiently high baryon chemical potential. It is then natural to expect the existence of a critical point where the crossover and first-order phase transition lines meet. We show how to embed a phase boundary that terminates at the critical point in a smooth backgr…

When is String Reconstruction using de Bruijn Graphs Hard?
Ben Bals, Sebastiaan van Krieken, Solon P. Pissis, Leen Stougie, Hilde Verbeek
https://arxiv.org/abs/2508.03433 https:…

When is String Reconstruction using de Bruijn Graphs Hard?
The reduction of the fragment assembly problem to (variations of) the classical Eulerian trail problem [Pevzner et al., PNAS 2001] has led to remarkable progress in genome assembly. This reduction employs the notion of de Bruijn graph $G=(V,E)$ of order $k$ over an alphabet $Σ$. A single Eulerian trail in $G$ represents a candidate genome reconstruction. Bernardini et al. have also introduced the complementary idea in data privacy [ALENEX 2020] based on $z$-anonymity. The pressing question i…

Mathematician Karen Keskulla Uhlenbeck was born #OTD in 1942.
She is known for her work on PDEs, calculus of variations, topology, and gauge theory, and was the second woman (after Emmy Noether!) to give the plenary lecture to the International Congress of Mathematicians.

Robert McNees (@mcnees.bsky.social)
Mathematician Karen Keskulla Uhlenbeck was born #OTD in 1942. She is known for her work on PDEs, calculus of variations, topology, and gauge theory, and was the second woman (after Emmy Noether!) to give the plenary lecture to the International Congress of Mathematicians. 👩‍🔬 🧪

NAT: Neural Acoustic Transfer for Interactive Scenes in Real Time
Xutong Jin, Bo Pang, Chenxi Xu, Xinyun Hou, Guoping Wang, Sheng Li
https://arxiv.org/abs/2506.06190

NAT: Neural Acoustic Transfer for Interactive Scenes in Real Time
Previous acoustic transfer methods rely on extensive precomputation and storage of data to enable real-time interaction and auditory feedback. However, these methods struggle with complex scenes, especially when dynamic changes in object position, material, and size significantly alter sound effects. These continuous variations lead to fluctuating acoustic transfer distributions, making it challenging to represent with basic data structures and render efficiently in real time. To address this c…

"Pop, soda or coke? The fizzy #history behind America’s favorite linguistic debate"
"A #chemistry professor, Benjamin Stillman, set up the first [Carbonated water] device in a drugstore in New Haven, Connecticut, in 1806."
Having grown up in the Midwest, I'm a "p…

Pop, soda or coke? The fizzy history behind America’s favorite linguistic debate
An expert in American dialects explains how a ‘health drink’ from the early 1800s spawned so many names and variations.

Floquet stability of periodically stationary pulses in a short-pulse fiber laser
Vrushaly Shinglot, John Zweck
https://arxiv.org/abs/2508.02735 https://arx…

Floquet stability of periodically stationary pulses in a short-pulse fiber laser
The quantitative modeling and design of modern short-pulse fiber lasers cannot be performed with averaged models because of large variations in the pulse parameters within each round trip. Instead, lumped models obtained by concatenating models for the various components of the laser are required. Since the optical pulses in lumped models are periodic, their linear stability is investigated using the monodromy operator, which is the linearization of the roundtrip operator about the pulse. A gra…

On Variations in GB Grid Electricity CO2 Intensity: Samples - CO2 per grid kWh by h/d/m/y. - https://www.earth.org.uk/note-on-UK-grid-CO2-intensity-variations.html

On Variations in GB Grid Electricity CO2 Intensity: Samples
CO2 per grid kWh by h/d/m/y.

CardiffNLP at CLEARS-2025: Prompting Large Language Models for Plain Language and Easy-to-Read Text Rewriting
Mutaz Ayesh, Nicol\'as Guti\'errez-Rol\'on, Fernando Alva-Manchego
https://arxiv.org/abs/2508.03240

CardiffNLP at CLEARS-2025: Prompting Large Language Models for Plain Language and Easy-to-Read Text Rewriting
This paper details the CardiffNLP team's contribution to the CLEARS shared task on Spanish text adaptation, hosted by IberLEF 2025. The shared task contained two subtasks and the team submitted to both. Our team took an LLM-prompting approach with different prompt variations. While we initially experimented with LLaMA-3.2, we adopted Gemma-3 for our final submission, and landed third place in Subtask 1 and second place in Subtask 2. We detail our numerous prompt variations, examples, and experi…

Slow graph bootstrap percolation III: Chain constructions
David Fabian, Patrick Morris, Tibor Szab\'o
https://arxiv.org/abs/2508.03835 https://arxiv.or…

Slow graph bootstrap percolation III: Chain constructions
For graphs $H$, we study the extremal function $M_H(n)$ which is the maximum running time (until stabilisation) of an $H$-bootstrap percolation process on $n$ vertices. Building on previous work in the clique case $H=K_k$, we develop a general framework of chain constructions. We demonstrate the flexibility of this framework by applying several variations of the method to give lower bounds on $M_H(n)$ for a wide variety of different graphs $H$ including dense graphs, random graphs and complete …

Melodic and Metrical Elements of Expressiveness in Hindustani Vocal Music
Yash Bhake, Ankit Anand, Preeti Rao
https://arxiv.org/abs/2508.04430 https://arxi…

Melodic and Metrical Elements of Expressiveness in Hindustani Vocal Music
This paper presents an attempt to study the aesthetics of North Indian Khayal music with reference to the flexibility exercised by artists in performing popular compositions. We study expressive timing and pitch variations of the given lyrical content within and across performances and propose computational representations that can discriminate between different performances of the same song in terms of expression. We present the necessary audio processing and annotation procedures, and discuss…

The fine structure constant: a review of measurement results and possible space-time variations
K. A. Bronnikov, V. D. Ivashchuk, V. V. Khruschov
https://arxiv.org/abs/2506.18328 …

The fine structure constant: a review of measurement results and possible space-time variations
A brief description of the main methods for determining the fine structure constant is given. It is shown that the exact value of the fine structure constant is important for the new International System of Units (SI) and for fundamental metrology. Recent measurement results and theoretical calculations of the fine structure constant, as well as its possible space-time variations, are presented. The results of laboratory experiments on the search for long-term variations of the fine structure c…

Exploring the cosmic microwave background dipole direction using gamma-ray bursts
Orlando Luongo, Marco Muccino, Francesco Sorrenti
https://arxiv.org/abs/2508.04304 https://

Exploring the cosmic microwave background dipole direction using gamma-ray bursts
We search for dipole variations in the Hubble constant $H_0$ using gamma-ray burst (GRB) data, as such anisotropies may shed light on the Hubble tension. We employ the most recent and reliable GRB catalogs from the $E_{p}-E_{iso}$ and the $L_0-E_{p}-T$ correlations. Despite their large uncertainties, GRBs are particularly suited for this analysis due to their redshift coverage up to $z\sim9$, their isotropic sky distribution that minimizes directional bias, and their strong correlations whose n…

Just re-watched Spotlight, the 2015 film about how the Boston Globe uncovered a massive coverup of child abuse by the Catholic Church. Blown away (again, like last time I saw it). Both about the quality of the movie, and about the content. The rot in the institutions, both church and the society around it that helped cover it up, is breathtaking. And I'm sure variations of this shit are still going on today, all around the world.
If you haven't seen the film, you should watch i…

Black hole thermodynamics from Iyer-Wald formalism with variable Newton's constant
Xuan-Rui Chen, Bin Wu, Zhen-Ming Xu
https://arxiv.org/abs/2508.04446 https://

Black hole thermodynamics from Iyer-Wald formalism with variable Newton's constant
Recent advances in black hole thermodynamics have intensified efforts to investigate its thermodynamic framework analogues to that of classical thermal systems. Departing from the extended phase space approach which involves a variable cosmological constant, the restricted phase space formalism focusing on the variations of Newton's gravitational constant in black hole thermodynamics is proposed. This approach enables the construction of a self-consistent thermodynamic structure that features b…

Near-Field Spatial non-Stationary Channel Estimation: Visibility-Region-HMM-Aided Polar-Domain Simultaneous OMP
Thibaut Ceulemans, Cel Thys, Robbert Beerten, Zhuangzhuang Cui, Sofie Pollin
https://arxiv.org/abs/2508.04222

Near-Field Spatial non-Stationary Channel Estimation: Visibility-Region-HMM-Aided Polar-Domain Simultaneous OMP
This work focuses on channel estimation in extremely large aperture array (ELAA) systems, where near-field propagation and spatial non-stationarity introduce complexities that hinder the effectiveness of traditional estimation techniques. A physics-based hybrid channel model is developed, incorporating non-binary visibility region (VR) masks to simulate diffraction-induced power variations across the antenna array. To address the estimation challenges posed by these channel conditions, a novel …

Multi-Step Prediction and Control of Hierarchical Emotion Distribution in Text-to-Speech Synthesis
Sho Inoue, Kun Zhou, Shuai Wang, Haizhou Li
https://arxiv.org/abs/2507.04598

Multi-Step Prediction and Control of Hierarchical Emotion Distribution in Text-to-Speech Synthesis
We investigate hierarchical emotion distribution (ED) for achieving multi-level quantitative control of emotion rendering in text-to-speech synthesis (TTS). We introduce a novel multi-step hierarchical ED prediction module that quantifies emotion variance at the utterance, word, and phoneme levels. By predicting emotion variance in a multi-step manner, we leverage global emotional context to refine local emotional variations, thereby capturing the intrinsic hierarchical structure of speech emot…

Viscosity variation in fluid flows across scale
Arjun Sharma, Ritabrata Thakur, Sharath Jose, Rama Govindarajan
https://arxiv.org/abs/2507.23532 https://ar…

Viscosity variation in fluid flows across scale
A wide range of natural and engineered fluid flows exhibit spatial or temporal viscosity variations, spanning scales from microbial locomotion to planetary mantle convection. These variations introduce qualitatively new physical mechanisms absent in constant-viscosity flows. This review surveys such phenomena across scales. In low Reynolds number (Stokes) flows, viscosity gradients couple translation and rotation, enabling novel particle responses to uniform forcing-- mechanisms that microorgan…

Quantum cohomology of variations of GIT quotients and flips
Zhaoxing Gu, Song Yu, Tony Yue YU
https://arxiv.org/abs/2508.15770 https://arxiv.org/pdf/2508.1…

Quantum cohomology of variations of GIT quotients and flips
We prove a decomposition theorem for the quantum cohomology of variations of GIT quotients. More precisely, for any reductive group $G$ and a simple $G$-VGIT wall-crossing $X_- \dashrightarrow X_+$ with a wall $S$, we show that the quantum $D$-module of $X_-$ can be decomposed into a direct sum of that of $X_+$ and copies of that of $S$. As an application, we obtain a decomposition theorem for the quantum cohomology of local models of standard flips in birational geometry.

🇺🇦 #NowPlaying on BBCRadio3's #Breakfast
Benjamin Britten, City of Birmingham Symphony Orchestra & Simon Rattle:
🎵 The Young Person's Guide to the Orchestra, Op.34 (Variations and fugue on a theme of Purcell)
https://open.spotify.com/track/6BKcbGaoqA8BeaJX0F2hbz

Nile Rogers & Chic were good though, even if they did play the same song about 15 times, with variations.

Constraint-Preserving Data Generation for Visuomotor Policy Learning
Kevin Lin, Varun Ragunath, Andrew McAlinden, Aaditya Prasad, Jimmy Wu, Yuke Zhu, Jeannette Bohg
https://arxiv.org/abs/2508.03944

Constraint-Preserving Data Generation for Visuomotor Policy Learning
Large-scale demonstration data has powered key breakthroughs in robot manipulation, but collecting that data remains costly and time-consuming. We present Constraint-Preserving Data Generation (CP-Gen), a method that uses a single expert trajectory to generate robot demonstrations containing novel object geometries and poses. These generated demonstrations are used to train closed-loop visuomotor policies that transfer zero-shot to the real world and generalize across variations in object geome…

Two years ago I took 7 `<blockquote>` variations (W3C & WHATWG HTML) and reported their output across 7 screen readers, for a measly 49 variations:
https://adrianroselli.com/2023/07/blockquotes-in-screen-readers.html
I made one anti-…

Blockquotes in Screen Readers
TL;DR: This post does not assert the correct way to code blockquotes, it will only demonstrate how screen readers announce some existing patterns. Test Details The first four examples are lifted from WHATWG HTML’s

entry. The next three are from W3C HTML’s 2019

guidance (the W3C HTML spec…

Double White Dwarf Binaries in SDSS-V DR19 : A catalog of DA white dwarf binaries and constraints on the binary population
Gautham Adamane Pallathadka, Vedant Chandra, Nadia L. Zakamska, Nicole R. Crumpler, Stefan M. Arseneau, Kareem El-Badry, Boris T. G\"aensicke, Yossef Zenati, J. J. Hermes, Axel D. Schwope, Carles Badenes, Nicola Pietro Gentile Fusillo, Sean Morrison, Tim Cunningham, Priyanka Chakraborty, Gagik Tovmasian, Dmitry Bizyaev, Kaike Pan, Scott F. Anderson, Sebastian …

Double White Dwarf Binaries in SDSS-V DR19 : A catalog of DA white dwarf binaries and constraints on the binary population
The fifth-generation Sloan Digital Sky Survey (SDSS-V) includes the first large-scale spectroscopic survey of white dwarfs (WDs) in the era of Gaia parallaxes. SDSS-V collects multiple exposures per target, making it ideal for binary detection. We present a search for hydrogen atmosphere (DA) double white dwarf (DWD) binaries in this rich dataset. We quantify radial velocity variations between sub-exposures to identify binary candidates, and also measure the orbital period for a subset of DWD b…

On Variations in GB Grid Electricity CO2 Intensity: Samples - CO2 per grid kWh by h/d/m/y. - https://www.earth.org.uk/note-on-UK-grid-CO2-intensity-variations.html

On Variations in GB Grid Electricity CO2 Intensity: Samples
CO2 per grid kWh by h/d/m/y.

Two Variations of Quantum Phase Estimation for Reducing Circuit Error Rates: Application to the Harrow--Hassidim--Lloyd Algorithm
Yonghae Lee, Minjin Choi, Youngho Min, Eunok Bae, Sunghyun Bae
https://arxiv.org/abs/2507.06711

Two Variations of Quantum Phase Estimation for Reducing Circuit Error Rates: Application to the Harrow--Hassidim--Lloyd Algorithm
We introduce two variations of the quantum phase estimation algorithm: quantum shifted phase estimation and quantum punctured phase estimation. The shifted method employs a bit-string left shift to discard the most significant bit and focus on lower-order phase components, and the punctured method removes qubits corresponding to known phase bits, thereby streamlining the circuit. To demonstrate the effectiveness of the two variations, we integrate them into a hybrid quantum-classical implementa…

Simulating Gadolinium-Induced Magnetic Field Variations for Temperature Sensing with Magneto-Mechanical Resonators
Jonas Faltinath, Miriam Schmitz, Fynn Foerger, Martin M\"oddel, Tobias Knopp
https://arxiv.org/abs/2508.21794

Simulating Gadolinium-Induced Magnetic Field Variations for Temperature Sensing with Magneto-Mechanical Resonators
Small-size magneto-mechanical resonators (MMR) represent an emerging class of passive, wireless sensors that combine a sensing functionality with a tracking option. The operation principle is based on a resonating rotor oscillation whose frequency is defined by the magnetic flux density of a stator magnet. One general sensing mechanism is the coupling of an external parameter to this resonator frequency. In this study, we investigate an approach for encoding a temperature information as a shift…

Search for seasonal variations of the horizontal muon rate with the HAWC observatory
Cindy Castell\'on (for the HAWC Collaboration), Hermes Le\'on Vargas (for the HAWC Collaboration)
https://arxiv.org/abs/2507.22196

Search for seasonal variations of the horizontal muon rate with the HAWC observatory
The High-Altitude Water Cherenkov (HAWC) observatory was designed to study gamma-ray sources in the energy range between a few hundred GeV up to few hundred TeV. It is composed of 300 Water Cherenkov Detectors (WCDs) that cover a surface of approximately 22000 m${}^2$, at 4100 m a.s.l. In this study, we use the HAWC WCDs as a very large horizontal particle tracker, searching for horizontal muon rate variations by season using 1.5 years of HAWC data. We look for a possible correlation between th…

The JCMT Gould Belt Survey Complete Core Catalogue: Core mass function variations between nearby molecular clouds
Kate Pattle, James Di Francesco, Jenny Hatchell, Helen Kirk, Sarah Sadavoy, Derek Ward-Thompson, Doug Johnstone, Sammohith Nittala, Ronan Kerr, Jared Keown, Harold Butner, Simon Coud\'e, Malcolm Currie, Rachel Friesen, Tim Jenness, Lewis Knee, Glenn White

The JCMT Gould Belt Survey Complete Core Catalogue: Core mass function variations between nearby molecular clouds
We present a catalogue of dense cores identified in James Clerk Maxwell Telescope (JCMT) Gould Belt Survey SCUBA-2 observations of nearby star-forming clouds. We identified 2257 dense cores using the getsources algorithm, of which 59% are starless, and 41% are potentially protostellar. 71% of the starless cores are prestellar core candidates, suggesting a prestellar core lifetime similar to that of Class 0/I YSOs. Higher-mass clouds have a higher fraction of prestellar cores compared to protost…

Replaced article(s) found for astro-ph.EP. https://arxiv.org/list/astro-ph.EP/new
[1/1]:
- Spot-Crossing Variations Confirm a Misaligned Orbit for a Planet Transiting an M Dwarf
Tamburo, Yee, Garc\'ia-Mej\'ia, Charbonneau, Bieryla, Collins, Shporer

Spline Shallow Water Moment Equations
Ullika Scholz, Julian Koellermeier
https://arxiv.org/abs/2508.02714 https://arxiv.org/pdf/2508.02714

Spline Shallow Water Moment Equations
Reduced models for free-surface flows are required due to the high dimensionality of the underlying incompressible Navier-Stokes equations, which need to fully resolve the flow in vertical direction to compute the surface height. On the other hand, standard reduced models, such as the classical Shallow Water Equations (SWE), which assume a small depth-to-length ratio and use depth-averaging, do not provide information about the vertical velocity profile variations. As a compromise, a recently p…

Pohozaev identities for weak solutions of Grushin type p-sub-Laplacian equation via domain variations
Yawei Wei, Xiaodong Zhou
https://arxiv.org/abs/2507.19913 https://

Pohozaev identities for weak solutions of Grushin type p-sub-Laplacian equation via domain variations
In this paper, we study Pohozaev identities for weak solutions of degenerate elliptic equations involving Grushin type p-sub-Laplacian under only $C^1$-regularity assumption. By using domain variations, we obtain the local Pohozaev identities of translating type and scaling type. As an application, a global Pohozaev identity of scaling type in $\mathbb{R}^{N+l}$ is also derived.

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection
Martin Obaidi, Marc Herrmann, Jil Kl\"under, Kurt Schneider
https://arxiv.org/abs/2507.02137

Towards Trustworthy Sentiment Analysis in Software Engineering: Dataset Characteristics and Tool Selection
Software development relies heavily on text-based communication, making sentiment analysis a valuable tool for understanding team dynamics and supporting trustworthy AI-driven analytics in requirements engineering. However, existing sentiment analysis tools often perform inconsistently across datasets from different platforms, due to variations in communication style and content. In this study, we analyze linguistic and statistical features of 10 developer communication datasets from five pla…

DepthGait: Multi-Scale Cross-Level Feature Fusion of RGB-Derived Depth and Silhouette Sequences for Robust Gait Recognition
Xinzhu Li, Juepeng Zheng, Yikun Chen, Xudong Mao, Guanghui Yue, Wei Zhou, Chenlei Lv, Ruomei Wang, Fan Zhou, Baoquan Zhao
https://arxiv.org/abs/2508.03397

DepthGait: Multi-Scale Cross-Level Feature Fusion of RGB-Derived Depth and Silhouette Sequences for Robust Gait Recognition
Robust gait recognition requires highly discriminative representations, which are closely tied to input modalities. While binary silhouettes and skeletons have dominated recent literature, these 2D representations fall short of capturing sufficient cues that can be exploited to handle viewpoint variations, and capture finer and meaningful details of gait. In this paper, we introduce a novel framework, termed DepthGait, that incorporates RGB-derived depth maps and silhouettes for enhanced gait r…

Current State in Privacy-Preserving Text Preprocessing for Domain-Agnostic NLP
Abhirup Sinha, Pritilata Saha, Tithi Saha
https://arxiv.org/abs/2508.03204 https://

Current State in Privacy-Preserving Text Preprocessing for Domain-Agnostic NLP
Privacy is a fundamental human right. Data privacy is protected by different regulations, such as GDPR. However, modern large language models require a huge amount of data to learn linguistic variations, and the data often contains private information. Research has shown that it is possible to extract private information from such language models. Thus, anonymizing such private and sensitive information is of utmost importance. While complete anonymization may not be possible, a number of diffe…

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Fernando Sor & Tomaž Rajterič:
🎵 Fantaisie et variations brillantes sur 2 airs favoris connus
#FernandoSor #TomažRajterič

Revealing Nanoscale Ni-Oxidation State Variations in Single-Crystal NMC811 via 2D and 3D Spectro-Ptychography
Ralf F. Ziesche, Michael J. Johnson, Ingo Manke, Joshua H. Cruddos, Alice V. Llewellyn, Chun Tan, Rhodri Jervis, Paul R. Shearing, Christoph Rau, Alexander J. E. Rettie, Silvia Cipiccia, Darren Batey
https://arxiv.org/abs/2507.2283…

Revealing Nanoscale Ni-Oxidation State Variations in Single-Crystal NMC811 via 2D and 3D Spectro-Ptychography
Enabling lithium (Li)-ion batteries with higher energy densities, longer cycle life, and lower costs will underpin the widespread electrification of the transportation and large-scale energy storage industries. Nickel (Ni)-rich layered oxide cathodes, such as LiNi$_{x}$Mn$_{y}$Co$_{z}$O$_{2}$ (NMC, x > 0.8), have gained popularity due to their high specific capacities and lower cobalt content. However, the standard polycrystalline morphology suffers from accelerated degradation at voltages abov…

Disentangled Multi-Context Meta-Learning: Unlocking robust and Generalized Task Learning
Seonsoo Kim, Jun-Gill Kang, Taehong Kim, Seongil Hong
https://arxiv.org/abs/2509.01297 h…

Disentangled Multi-Context Meta-Learning: Unlocking robust and Generalized Task Learning
In meta-learning and its downstream tasks, many methods rely on implicit adaptation to task variations, where multiple factors are mixed together in a single entangled representation. This makes it difficult to interpret which factors drive performance and can hinder generalization. In this work, we introduce a disentangled multi-context meta-learning framework that explicitly assigns each task factor to a distinct context vector. By decoupling these variations, our approach improves robustness…

ConvNeXt with Histopathology-Specific Augmentations for Mitotic Figure Classification
Hana Feki, Alice Blondel, Thomas Walter
https://arxiv.org/abs/2509.02595 https://

ConvNeXt with Histopathology-Specific Augmentations for Mitotic Figure Classification
Accurate mitotic figure classification is crucial in computational pathology, as mitotic activity informs cancer grading and patient prognosis. Distinguishing atypical mitotic figures (AMFs), which indicate higher tumor aggressiveness, from normal mitotic figures (NMFs) remains challenging due to subtle morphological differences and high intra-class variability. This task is further complicated by domain shifts, including variations in organ, tissue type, and scanner, as well as limited annotat…

Variations of the Ca II K Line Profile Parameters with Solar Latitude and Time Observed from Kodaikanal Solar Observatory
Apoorva Srinivasa (Department of Physics, Amrita Vishwa Vidyapeetham, Amritapuri, India), Anu Sreedevi (Department of Physics, Indian Institute of Technology), K P Raju (Indian Institute of Astrophysics, Bengaluru, India), K Nagaraju (Indian Institute of Astrophysics, Bengaluru, India), Jagdev Singh (Indian Institute of Astrophysics, Bengaluru, India), Narayanankutt…

Variations of the Ca II K Line Profile Parameters with Solar Latitude and Time Observed from Kodaikanal Solar Observatory
The Calcium-K line profiles as functions of solar latitude and time were obtained through our observations from the Kodaikanal Solar Observatory using the solar tunnel telescope and spectrograph with a CCD detector. Observations were conducted on all days with favourable sky conditions. We analysed the data collected over a period of about ten years to study the variations in the Ca II K line profiles recorded between 2015 and 2024, of which 709 days of data were found useful. The temporal and …

🇺🇦 #NowPlaying on BBCRadio3's #BBCProms
Сергей Васильевич Рахманинов & Duncan Gifford:
🎵 Variations on a Theme of Corelli, Op 42
#СергейВасильевичРахманинов #DuncanGifford

PARCO: Phoneme-Augmented Robust Contextual ASR via Contrastive Entity Disambiguation
Jiajun He, Naoki Sawada, Koichi Miyazaki, Tomoki Toda
https://arxiv.org/abs/2509.04357 https…

PARCO: Phoneme-Augmented Robust Contextual ASR via Contrastive Entity Disambiguation
Automatic speech recognition (ASR) systems struggle with domain-specific named entities, especially homophones. Contextual ASR improves recognition but often fails to capture fine-grained phoneme variations due to limited entity diversity. Moreover, prior methods treat entities as independent tokens, leading to incomplete multi-token biasing. To address these issues, we propose Phoneme-Augmented Robust Contextual ASR via COntrastive entity disambiguation (PARCO), which integrates phoneme-aware …

Extreme Starlight Polarization Efficiency Toward $\zeta$ Ophiuchi: A Case for Line-of-Sight Foreground Subtraction
Jordan A. Bartlett, Henry A. Kobulnicky
https://arxiv.org/abs/2509.04427

Extreme Starlight Polarization Efficiency Toward $ζ$ Ophiuchi: A Case for Line-of-Sight Foreground Subtraction
Despite the pervasive nature of interstellar dust and its impact on nearly all observations, most dust corrections employ line-of-sight averages over large angular scales. This neglects real variations on small angular and distance scales from discrete components of the ISM. We use $V$ band polarimetry, public dust maps, and Gaia DR3 distances of 25 stars along a 50' radius sight line towards the O9.5IV star $ζ$ Ophiuchi ($d \approx $ 182 pc) to examine both dust and magnetic structures over t…

See Different, Think Better: Visual Variations Mitigating Hallucinations in LVLMs
Ziyun Dai, Xiaoqiang Li, Shaohua Zhang, Yuanchen Wu, Jide Li
https://arxiv.org/abs/2507.22003 h…

See Different, Think Better: Visual Variations Mitigating Hallucinations in LVLMs
Large Vision-Language Models (LVLMs) have demonstrated remarkable capabilities in visual understanding and multimodal reasoning. However, LVLMs frequently exhibit hallucination phenomena, manifesting as the generated textual responses that demonstrate inconsistencies with the provided visual content. Existing hallucination mitigation methods are predominantly text-centric, the challenges of visual-semantic alignment significantly limit their effectiveness, especially when confronted with fine-g…

Gamma-ray Pulsar Emission is Mostly Stable on Timescales from Minutes to Years
Matthew Kerr
https://arxiv.org/abs/2508.18195 https://arxiv.org/pdf/2508.181…

Gamma-ray Pulsar Emission is Mostly Stable on Timescales from Minutes to Years
We present a method for the detection and characterization of random changes in the flux from $γ$-ray pulsars on sub-hour timescales, much shorter than variations that can be accessed using direct flux measurements. Flux variations are a proxy for the variations in spindown power ($\dot{E}$) or particle acceleration, which can be produced by random switches between quasi-stable configurations of the pulsar magnetosphere. This technique therefore probes the stability of pulsar magnetospheres an…

Investigating Transit Timing Variations in the Ultra-short Period Exoplanet WASP-19b
Shraddha Biswas, Ing-Guey Jiang, Li-Chin Yeh, Hsin-Min Liu, Kaviya Parthasarathy, Devesh P. Sariya, D. Bisht, Mohit Singh Bisht, A. Raj
https://arxiv.org/abs/2506.16306

Investigating Transit Timing Variations in the Ultra-short Period Exoplanet WASP-19b
In this study, we present a comprehensive analysis of transit timing variations (TTVs) in the ultra-short-period gas giant WASP-19b, which orbits a G-type main-sequence star. Our analysis is based on a dataset comprising 204 transit light curves obtained from the Transiting Exoplanet Survey Satellite (TESS), the Exoplanet Transit Database (ETD), and the ExoClock project, supplemented by 18 publicly available light curves. Mid-transit times were extracted from these data, and an additional 98 mi…

TacMan-Turbo: Proactive Tactile Control for Robust and Efficient Articulated Object Manipulation
Zihang Zhao, Zhenghao Qi, Yuyang Li, Leiyao Cui, Zhi Han, Lecheng Ruan, Yixin Zhu
https://arxiv.org/abs/2508.02204

TacMan-Turbo: Proactive Tactile Control for Robust and Efficient Articulated Object Manipulation
Adept manipulation of articulated objects is essential for robots to operate successfully in human environments. Such manipulation requires both effectiveness -- reliable operation despite uncertain object structures -- and efficiency -- swift execution with minimal redundant steps and smooth actions. Existing approaches struggle to achieve both objectives simultaneously: methods relying on predefined kinematic models lack effectiveness when encountering structural variations, while tactile-inf…

🇺🇦 #NowPlaying on BBCRadio3's #Breakfast
Aaron Copland, Aurora Orchestra & Nicholas Collon:
🎵 Variations on a Shaker Hymn (Appalachian Spring)
#AaronCopland #AuroraOrchestra #NicholasCollon

Generalizable Audio Deepfake Detection via Hierarchical Structure Learning and Feature Whitening in Poincar\'e sphere
Mingru Yang, Yanmei Gu, Qianhua He, Yanxiong Li, Peirong Zhang, Yongqiang Chen, Zhiming Wang, Huijia Zhu, Jian Liu, Weiqiang Wang
https://arxiv.org/abs/2508.01897

Generalizable Audio Deepfake Detection via Hierarchical Structure Learning and Feature Whitening in Poincaré sphere
Audio deepfake detection (ADD) faces critical generalization challenges due to diverse real-world spoofing attacks and domain variations. However, existing methods primarily rely on Euclidean distances, failing to adequately capture the intrinsic hierarchical structures associated with attack categories and domain factors. To address these issues, we design a novel framework Poin-HierNet to construct domain-invariant hierarchical representations in the Poincaré sphere. Poin-HierNet includes th…

🇺🇦 #NowPlaying on BBCRadio3's #NightTracks
Johann Sebastian Bach & Söndörgő:
🎵 Goldberg Variations BWV.988 (Variation 1)
#JohannSebastianBach #Söndörgő #newRelease 🆕 album
https://open.spotify.com/track/3fGsJEMjgokUfAuPAfWrIq

YOLO-Count: Differentiable Object Counting for Text-to-Image Generation
Guanning Zeng, Xiang Zhang, Zirui Wang, Haiyang Xu, Zeyuan Chen, Bingnan Li, Zhuowen Tu
https://arxiv.org/abs/2508.00728

YOLO-Count: Differentiable Object Counting for Text-to-Image Generation
We propose YOLO-Count, a differentiable open-vocabulary object counting model that tackles both general counting challenges and enables precise quantity control for text-to-image (T2I) generation. A core contribution is the 'cardinality' map, a novel regression target that accounts for variations in object size and spatial distribution. Leveraging representation alignment and a hybrid strong-weak supervision scheme, YOLO-Count bridges the gap between open-vocabulary counting and T2I generation …

Better Call Claude: Can LLMs Detect Changes of Writing Style?
Johannes R\"omisch, Svetlana Gorovaia, Mariia Halchynska, Gleb Schmidt, Ivan P. Yamshchikov
https://arxiv.org/abs/2508.00680

Better Call Claude: Can LLMs Detect Changes of Writing Style?
This article explores the zero-shot performance of state-of-the-art large language models (LLMs) on one of the most challenging tasks in authorship analysis: sentence-level style change detection. Benchmarking four LLMs on the official PAN~2024 and 2025 "Multi-Author Writing Style Analysis" datasets, we present several observations. First, state-of-the-art generative models are sensitive to variations in writing style - even at the granular level of individual sentences. Second, their accuracy …

Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization
Nico Bohlinger, Jan Peters
https://arxiv.org/abs/2509.02815 https://arxiv.org/pd…

Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization
We present a single, general locomotion policy trained on a diverse collection of 50 legged robots. By combining an improved embodiment-aware architecture (URMAv2) with a performance-based curriculum for extreme Embodiment Randomization, our policy learns to control millions of morphological variations. Our policy achieves zero-shot transfer to unseen real-world humanoid and quadruped robots.

🇺🇦 #NowPlaying on BBCRadio3's #EssentialClassics
Edward Elgar, BBC Symphony Orchestra & Andrew Davis:
🎵 Enigma Variations, Op 36 (Variation 9, 'Nimrod')
#EdwardElgar #BBCSymphonyOrchestra #AndrewDavis

🇺🇦 #NowPlaying on BBCRadio3's #EssentialClassics
Margaret Bonds, BBC Philharmonic Orchestra & Ben Gernon:
🎵 Montgomery Variations
#MargaretBonds #BBCPhilharmonicOrchestra #BenGernon

Frequency Response Data-Driven Disturbance Observer Design for Flexible Joint Robots
Deokjin Lee, Junho Song, Alireza Karimi, Sehoon Oh
https://arxiv.org/abs/2507.18979 https://…

Frequency Response Data-Driven Disturbance Observer Design for Flexible Joint Robots
Motion control of flexible joint robots (FJR) is challenged by inherent flexibility and configuration-dependent variations in system dynamics. While disturbance observers (DOB) can enhance system robustness, their performance is often limited by the elasticity of the joints and the variations in system parameters, which leads to a conservative design of the DOB. This paper presents a novel frequency response function (FRF)-based optimization method aimed at improving DOB performance, even in th…

Exploring Cultural Variations in Moral Judgments with Large Language Models
Hadi Mohammadi, Efthymia Papadopoulou, Yasmeen F. S. S. Meijer, Ayoub Bagheri
https://arxiv.org/abs/2506.12433

Exploring Cultural Variations in Moral Judgments with Large Language Models
Large Language Models (LLMs) have shown strong performance across many tasks, but their ability to capture culturally diverse moral values remains unclear. In this paper, we examine whether LLMs can mirror variations in moral attitudes reported by two major cross-cultural surveys: the World Values Survey and the PEW Research Center's Global Attitudes Survey. We compare smaller, monolingual, and multilingual models (GPT-2, OPT, BLOOMZ, and Qwen) with more recent instruction-tuned models (GPT-4o,…

Catastrophic Forgetting Mitigation via Discrepancy-Weighted Experience Replay
Xinrun Xu, Jianwen Yang, Qiuhong Zhang, Zhanbiao Lian, Zhiming Ding, Shan Jiang
https://arxiv.org/abs/2507.00042

Catastrophic Forgetting Mitigation via Discrepancy-Weighted Experience Replay
Continually adapting edge models in cloud-edge collaborative object detection for traffic monitoring suffers from catastrophic forgetting, where models lose previously learned knowledge when adapting to new data distributions. This is especially problematic in dynamic traffic environments characterised by periodic variations (e.g., day/night, peak hours), where past knowledge remains valuable. Existing approaches like experience replay and visual prompts offer some mitigation, but struggle to e…

🇺🇦 #NowPlaying on BBCRadio3's #ThroughTheNight
Jean-Baptiste Arban, Geoffrey Payne & Melbourne Symphony Orchestra:
🎵 Fantasy and variations on a Cavatina from 'Beatrice di Tenda' by Bellini
#JeanBaptisteArban
https://open.spotify.com/track/0ou2W5LHeQhnMOQEyLGTJ4

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#ThroughTheNight
- Wagner, Brahms and Mozart from Warsaw
Mikhail Mering conducts the Polish Radio Orchestra in Warsaw in Wagner's Siegfried Idyll, Brahms's Variations on a Theme by Haydn and Mozart's Symphony no 36 'Linz'.
Relisten now 👇
https://www.bbc.co.uk/programmes/m002g23f