Tootfinder

Trump's unique talents make him a true leader - and have redefined what it means to be commander-in-chief (Michael Goodwin/New York Post)
https://nypost.com/2025/08/19/opinion/michael-goodwin-trumps-unique-talents-make-him-a-true-leader-and-have-redefined-what-it-means-to-be-commander-in-chief/
http://www.memeorandum.com/250820/p39#a250820p39

I was reading an article about the #Braves #baseball season earlier. The author went so far as to say it was "one of the worst in franchise history". My dudes. This guy apparently missed the 70's and 80's when Ted Turner literally ran ostrich races to get people to c…

Behind the Braves: A look back at unique promotions
The Official Site of Major League Baseball

🪖 Military Chaplain's CHURCH – a unique place in UKRAINE #shorts: https://benborges.xyz/2025/10/17/military-chaplains-church-a-unique.html

Grok's "share" button generates a unique URL that makes private chats searchable on Google, Bing, and DuckDuckGo; Google has indexed 370K Grok conversations (Iain Martin/Forbes)
https://www.forbes.com/sites/iainmartin/20…

Elon Musk’s xAI Published Hundreds Of Thousands Of Grok Chatbot Conversations
xAI published conversations with Grok and made them searchable on Google, including a plan to assassinate Elon Musk and instructions for making fentanyl and bombs.

On a Second-Order Version of Russellian Theory of Definite Descriptions
Yaroslav Petrukhin
https://arxiv.org/abs/2508.13928 https://arxiv.org/pdf/2508.1392…

On a Second-Order Version of Russellian Theory of Definite Descriptions
Definite descriptions are first-order expressions that denote unique objects. In this paper, we propose a second-order counterpart, designed to refer to unique relations between objects. We investigate this notion within the framework of Russell's theory of definite descriptions. While full second-order logic is incomplete, its fragment defined by Henkin's general models admits completeness. We develop our theory within this fragment and formalize it using a cut-free sequent calculus.

game_thrones: Game of Thrones coappearances
Network of coappearances of characters in the Game of Thrones series, by George R. R. Martin, and in particular coappearances in the book "A Storm of Swords." Nodes are unique characters, and edges are weighted by the number of times the two characters' names appeared within 15 words of each other in the text.
This network has 107 nodes and 352 edges.
Tags: Social, Fictional, Weighted

Where to Start Alignment? Diffusion Large Language Model May Demand a Distinct Position
Zhixin Xie, Xurui Song, Jun Luo
https://arxiv.org/abs/2508.12398 https://

Where to Start Alignment? Diffusion Large Language Model May Demand a Distinct Position
Diffusion Large Language Models (dLLMs) have recently emerged as a competitive non-autoregressive paradigm due to their unique training and inference approach. However, there is currently a lack of safety study on this novel architecture. In this paper, we present the first analysis of dLLMs' safety performance and propose a novel safety alignment method tailored to their unique generation characteristics. Specifically, we identify a critical asymmetry between the defender and attacker in terms…

3 unique views of the #Sun, 1 #workshop!
Register now for the Solar Orbiter-IRIS-Aditya Joint Workshop taking place from March 16th-19th 2026 in Berlin.
More infos here:

Qwen-Image-Edit: Image Editing with Higher Quality and Efficiency
https://qwenlm.github.io/blog/qwen-image-edit/?utm_source=www.the…

Retro style fantasy fps Wizordum is coming to consoles September 23, and I'm psyched to grab it (when it goes on sale, as I usually wait for). Have to decide if I want it for Switch and/or Xbox. I played the demo on Steam a while back (it's here: https://store.steampowered.com/app/1715…

Wizordum on Steam
Wizordum is a retro FPS that puts you in the role of a Mage on a quest to track down the source of Chaos. With a wide arsenal of spells and magic items, battle your way through the world of Terrabruma in this unique blend of classic 90s shooters and modern gaming elements.

"Looks Good to Me"
https://www.manning.com/books/looks-good-to-me?utm_source=frankel&utm_medium=affiliate&utm_campaign=affiliate&a_aid=frankel

from my link log —
Memory Integrity Enforcement: A complete vision for memory safety in Apple devices.
https://security.apple.com/blog/memory-integrity-enforcement/
saved 2025-09-10

Blog - Memory Integrity Enforcement: A complete vision for memory safety in Apple devices - Apple Security Research
Memory Integrity Enforcement (MIE) is the culmination of an unprecedented design and engineering effort spanning half a decade that combines the unique strengths of Apple silicon hardware with our advanced operating system security to provide industry-first, always-on memory safety protection across our devices — without compromising our best-in-class device performance. We believe Memory Integrity Enforcement represents the most significant upgrade to memory safety in the history of consumer…

Vikings GM Kwesi Adofo-Mensah: Unique decision-maker or just a 'normal dude'? https://www.nytimes.com/athletic/6562339/2025/08/20/vikings-gm-kwesi-adofo-mensah-decisions/

Checkmate: interpretable and explainable RSVQA is the endgame
Lucrezia Tosato, Christel Tartini Chappuis, Syrielle Montariol, Flora Weissgerber, Sylvain Lobry, Devis Tuia
https://arxiv.org/abs/2508.13086

Checkmate: interpretable and explainable RSVQA is the endgame
Remote Sensing Visual Question Answering (RSVQA) presents unique challenges in ensuring that model decisions are both understandable and grounded in visual content. Current models often suffer from a lack of interpretability and explainability, as well as from biases in dataset distributions that lead to shortcut learning. In this work, we tackle these issues by introducing a novel RSVQA dataset, Chessboard, designed to minimize biases through 3'123'253 questions and a balanced answer distribut…

This Is One of New York’s Most Scenic Hikes, with Endless Waterfalls, Fascinating Rock Formations, and Unique Charm
https://chasingch…

Continuous sentiment scores for literary and multilingual contexts
Laurits Lyngbaek, Pascale Feldkamp, Yuri Bizzoni, Kristoffer Nielbo, Kenneth Enevoldsen
https://arxiv.org/abs/2508.14620

Continuous sentiment scores for literary and multilingual contexts
Sentiment Analysis is widely used to quantify sentiment in text, but its application to literary texts poses unique challenges due to figurative language, stylistic ambiguity, as well as sentiment evocation strategies. Traditional dictionary-based tools often underperform, especially for low-resource languages, and transformer models, while promising, typically output coarse categorical labels that limit fine-grained analysis. We introduce a novel continuous sentiment scoring method based on co…

On Naturally and Weakly Mal'tsev Categories
Nelson Martins-Ferreira
https://arxiv.org/abs/2508.13315 https://arxiv.org/pdf/2508.13315

On Naturally and Weakly Mal'tsev Categories
We explore a hierarchy of notions in categorical algebra: Mal'tsev categories (where every reflexive relation is symmetric); naturally Mal'tsev categories (where every reflexive graph underlies a unique internal groupoid structure, also known as the Lawvere Condition); and weakly Mal'tsev categories (defined via the joint epimorphicity of local product injections). While varying in generality and historical prominence, these notions can be uniformly described using suitable classes of spans and…

TASER: Table Agents for Schema-guided Extraction and Recommendation
Nicole Cho, Kirsty Fielding, William Watson, Sumitra Ganesh, Manuela Veloso
https://arxiv.org/abs/2508.13404 …

TASER: Table Agents for Schema-guided Extraction and Recommendation
Real-world financial documents report essential information about an entity's financial holdings that can span millions of different financial instrument types. Yet, these details are often buried in messy, multi-page, fragmented tables - for example, 99.4% of the tables in our dataset have no bounding boxes with the maximum number of rows amounting to 426 per table across 44 pages. To tackle these unique challenges from real-world tables, we present a continuously learning, agentic table extra…

Control of Legged Robots using Model Predictive Optimized Path Integral
Hossein Keshavarz, Alejandro Ramirez-Serrano, Majid Khadiv
https://arxiv.org/abs/2508.11917 https://

Control of Legged Robots using Model Predictive Optimized Path Integral
Legged robots possess a unique ability to traverse rough terrains and navigate cluttered environments, making them well-suited for complex, real-world unstructured scenarios. However, such robots have not yet achieved the same level as seen in natural systems. Recently, sampling-based predictive controllers have demonstrated particularly promising results. This paper investigates a sampling-based model predictive strategy combining model predictive path integral (MPPI) with cross-entropy (CE) a…

Generalized Number-Phase Lattice Encoding of a Bosonic Mode for Quantum Error Correction
Dong-Long Hu, Weizhou Cai, Chang-Ling Zou, Ze-Liang Xiang
https://arxiv.org/abs/2508.12354

Generalized Number-Phase Lattice Encoding of a Bosonic Mode for Quantum Error Correction
Bosonic systems offer unique advantages for quantum error correction, as a single bosonic mode provides a large Hilbert space to redundantly encode quantum information. However, previous studies have been limited to exploiting symmetries in the quadrature phase space. Here we introduce a unified framework for encoding a qubit utilizing the symmetries in the phase space of number and phase variables of a bosonic mode. The logical codewords form lattice structures in the number-phase space, resul…

Democratizing Game Modding with GenAI: A Case Study of StarCharM, a Stardew Valley Character Maker
Hamid Zand Miralvand, Mohammad Ronagh Nikghalb, Mohammad Darandeh, Abidullah Khan, Ian Arawjo, Jinghui Cheng
https://arxiv.org/abs/2507.13951

Democratizing Game Modding with GenAI: A Case Study of StarCharM, a Stardew Valley Character Maker
Game modding offers unique and personalized gaming experiences, but the technical complexity of creating mods often limits participation to skilled users. We envision a future where every player can create personalized mods for their games. To explore this space, we designed StarCharM, a GenAI-based non-player character (NPC) creator for Stardew Valley. Our tool enables players to iteratively create new NPC mods, requiring minimal user input while allowing for fine-grained adjustments through u…

Song of Ice and Burgundy: Cowboys-Commanders uniform choices in Week 7 https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/10/19/uni-watch-cowboys-commanders-uniform-choices-in-week-7/86788180007/…

SO close to 10x programmer! #agiAnytimeSoon https://infosec.exchange/@adamshostack/115050433640095929

Permutations satisfying $(P_1)$ and $(P_2)$ properties and $\ell$-optimal bent functions
Sadmir Kudin, Enes Pasalic, Alexandr Polujan, Fengrong Zhang
https://arxiv.org/abs/2508.14277

Permutations satisfying $(P_1)$ and $(P_2)$ properties and $\ell$-optimal bent functions
An important classification of permutations over $\mathbb{F}_2^m$, suitable for constructing Maiorana-McFarland bent functions on $\mathbb{F}_2^m \times \mathbb{F}_2^m$ with the unique $M$-subspace of maximal dimension, was recently considered in Pasalic et al. (IEEE Trans. Inf. Theory 70(6): 4464-4477, 2024). More precisely, two properties called $(P_1)$ and $(P_2)$ were introduced and a generic method of constructing permutations having the property $(P_1)$ was presented, whereas no such resu…

Branching space of precubical set
Philippe Gaucher
https://arxiv.org/abs/2508.14839 https://arxiv.org/pdf/2508.14839

Branching space of precubical set
Using the notion of short natural directed path, we introduce the homotopy branching space of a precubical set. It is unique only up to homotopy equivalence. We prove that, for any precubical set, it is homotopy equivalent to the branching space of any q-realization, any m-realization and any h-realization of the precubical set as a flow. As an application, we deduce the invariance of the homotopy branching space and of the branching homology up to cubical subdivision. By reversing the time dir…

Jordanian spin chains for twisted strings in $AdS_5\times S^5$
Sibylle Driezen, Adrien Molines
https://arxiv.org/abs/2507.13911 https://

Jordanian spin chains for twisted strings in $AdS_5\times S^5$
We study the integrable spin chain formulation of Jordanian deformations of the $AdS_5\times S^5$ superstring, realised via Drinfel'd twists. Among these models, we first identify a unique supergravity deformation confined to an $SL(2,\mathbb{R})$ sector and with constant dilaton. We then develop a general framework for closed Drinfel'd twisted spin chains and construct an explicit map to undeformed models with twisted-boundary conditions. Applied to the non compact $\mathrm{XXX}_{-1/2}$ spin c…

US firm sells innovative ODIN nuclear microreactor design to UK buyers for $6.2 million, focusing on safety and reliability. #climatechange #climatesolutions #climate

US firm sells unique ODIN nuclear microreactor design to UK buyers
US-based NANO Nuclear Energy has agreed to sell its ODIN microreactor design to the UK's Cambridge AtomWorks.

Power Stabilization for AI Training Datacenters
Esha Choukse, Brijesh Warrier, Scot Heath, Luz Belmont, April Zhao, Hassan Ali Khan, Brian Harry, Matthew Kappel, Russell J. Hewett, Kushal Datta, Yu Pei, Caroline Lichtenberger, John Siegler, David Lukofsky, Zaid Kahn, Gurpreet Sahota, Andy Sullivan, Charles Frederick, Hien Thai, Rebecca Naughton, Daniel Jurnove, Justin Harp, Reid Carper, Nithish Mahalingam, Srini Varkala, Alok Gautam Kumbhare, Satyajit Desai, Venkatesh Ramamurthy, Prane…

Power Stabilization for AI Training Datacenters
Large Artificial Intelligence (AI) training workloads spanning several tens of thousands of GPUs present unique power management challenges. These arise due to the high variability in power consumption during the training. Given the synchronous nature of these jobs, during every iteration there is a computation-heavy phase, where each GPU works on the local data, and a communication-heavy phase where all the GPUs synchronize on the data. Because compute-heavy phases require much more power than…

A Novel Attention-Augmented Wavelet YOLO System for Real-time Brain Vessel Segmentation on Transcranial Color-coded Doppler
Wenxuan Zhang (, Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China), Shuai Li (, Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China), Xinyi Wang (, Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China), Yu Sun (, Department of Bi…

A Novel Attention-Augmented Wavelet YOLO System for Real-time Brain Vessel Segmentation on Transcranial Color-coded Doppler
The Circle of Willis (CoW), vital for ensuring consistent blood flow to the brain, is closely linked to ischemic stroke. Accurate assessment of the CoW is important for identifying individuals at risk and guiding appropriate clinical management. Among existing imaging methods, Transcranial Color-coded Doppler (TCCD) offers unique advantages due to its radiation-free nature, affordability, and accessibility. However, reliable TCCD assessments depend heavily on operator expertise for identifying …

Sad to see Trump Tariffs kill off a US-based small business that offers a unique product that works perfectly but will no longer be available because it’s now too costly to produce: the Starling Home hub that magically made your Google Nest devices play friendly with Apple Home and HomeKit. Will remain supported but no longer available for purchase because of tariffs. https://…

Starling Hub | Nest HomeKit Bridge | Complete Smart Home Control
Connect Nest to Apple HomeKit and AirPlay. Perfectly integrate Thermostat, Protect, Cameras, Speakers, Secure and Nest x Yale Lock with Home, iOS, Siri and other smart home devices and HomeKit apps.

Properties of the temporal transfer matrix in integrable Floquet circuits
Ilya Vilkoviskiy, Marirko Kirill
https://arxiv.org/abs/2508.13883 https://arxiv.o…

Properties of the temporal transfer matrix in integrable Floquet circuits
One possible approach to studying non-equilibrium dynamics is the so-called influence matrix (IM) formalism. The influence matrix can be viewed as a quantum state that encodes complete information about the non-equilibrium dynamics of a boundary degree of freedom. It has been shown that the IM is the unique stationary point of the temporal transfer matrix. This transfer matrix, however, is non-diagonalizable and exhibits a non-trivial Jordan block structure. In this article, we demonstrate that…

Dual-Phase Playtime-guided Recommendation: Interest Intensity Exploration and Multimodal Random Walks
Jingmao Zhang, Zhiting Zhao, Yunqi Lin, Jianghong Ma, Tianjun Wei, Haijun Zhang, Xiaofeng Zhang
https://arxiv.org/abs/2508.14058

Dual-Phase Playtime-guided Recommendation: Interest Intensity Exploration and Multimodal Random Walks
The explosive growth of the video game industry has created an urgent need for recommendation systems that can scale with expanding catalogs and maintain user engagement. While prior work has explored accuracy and diversity in recommendations, existing models underutilize playtime, a rich behavioral signal unique to gaming platforms, and overlook the potential of multimodal information to enhance diversity. In this paper, we propose DP2Rec, a novel Dual-Phase Playtime-guided Recommendation mode…

Replaced article(s) found for cs.CC. https://arxiv.org/list/cs.CC/new
[1/1]:
- On the complexity of unique quantum witnesses and quantum approximate counting
Anurag Anshu, Jonas Haferkamp, Yeongwoo Hwang, Quynh T. Nguyen

Search for Light Inelastic Dark Matter with Low-Energy Ionization Signatures in PandaX-4T
Yu-Chen Wang, Youhui Yun, Hong-Jian He, Yue Meng
https://arxiv.org/abs/2508.13062 https…

Search for Light Inelastic Dark Matter with Low-Energy Ionization Signatures in PandaX-4T
Direct detection of light dark matter (DM) is generally difficult due to its small recoil energy. The inelastic scattering of DM can produce unique signatures in the DM direct detection experiments. Using the low-energy unpaired ionization data from PandaX-4T, we newly analyze the probe of the exothermic inelastic dark matter (ineDM). We demonstrate that PandaX-4T can probe the ineDM mass-splitting down to 0.05 keV and probe the ineDM mass to the sub-GeV range. For the ineDM with a dark photon …

Pulsating and Non-pulsating Components of Detached Eclipsing Binaries in the $\delta$ Scuti instability strip
Filiz Kahraman Ali\c{c}avu\c{s}, Fahri Ali\c{c}avu\c{s}, Zeynep \c{C}elik Orhan, Eda \c{C}elik, Giovanni Catanzaro, Marina Giarrusso
https://arxiv.org/abs/2508.14464

Pulsating and Non-pulsating Components of Detached Eclipsing Binaries in the $δ$ Scuti instability strip
Pulsating detached eclipsing binary systems are crucial for studying the internal structure of oscillating stars. These systems are advantageous because binary effects on pulsations are minimal, allowing for more accurate determinations of fundamental stellar parameters such as mass and radius. They serve as unique laboratories for detailed investigations of pulsating stars. In this study, we focused on four detached eclipsing binaries exhibiting $δ$ Scuti-type oscillations: HD 117476, 205 Dra…

Three-Dimensional Polarimetric Structure of Jets from Radio Galaxy MRC 0600-399 in Abell 3376
Haruka Sakemi, James O. Chibueze, William D. Cotton, Viral Parekh, Takumi Ohmura, Mami Machida, Taichi Igarashi, Takuya Akahori, Hiroki Akamatsu, Hiroyuki Nakanishi, Tsutomu T. Takeuchi
https://arxiv.org/abs/2508.13454

Three-Dimensional Polarimetric Structure of Jets from Radio Galaxy MRC 0600-399 in Abell 3376
MRC 0600-399, in the merging galaxy cluster Abell 3376, is one of the unique Head-Tail radio galaxies having abruptly bending structures, the origin of which is still under discussion. A previous study suggested that the interaction between the jets and the magnetic fields on the cold front has produced such an outstanding feature; however, it is still not known how the jet propagates the long distance keeping the sharp shape. In this study, we performed a polarization analysis of MRC 0600-399 …

On the usage of $2$-node lines in $n$-correct and $GC_n$ sets
Hakop Hakopian, Gagik Vardanyan, Navasard Vardanyan
https://arxiv.org/abs/2508.13289 https://…

On the usage of $2$-node lines in $n$-correct and $GC_n$ sets
An $n$-correct set $\mathcal{X}$ in the plane is a set of nodes admitting unique interpolation with bivariate polynomials of total degree at most $n$. A $k$-node line is a line passing through exactly $k$ nodes of $\mathcal{X}.$ A line can pass through at most $n+1$ nodes of an $n$-correct set. An $(n+1)$-node line is called maximal line (C. de Boor, 2007). We say that a node $A\in\mathcal{X}$ uses a line $\ell,$ if $\ell$ is a factor of the fundamental polynomial of the node $A.$ Let $\mat…

Full-Duplex Beamforming Optimization for Near-Field ISAC
Ahsan Nazar, Zhambyl Shaikhanov, Sennur Ulukus
https://arxiv.org/abs/2508.14753 https://arxiv.org/…

Full-Duplex Beamforming Optimization for Near-Field ISAC
Integrated Sensing and Communications (ISAC) is a promising technology for future wireless networks, enabling simultaneous communication and sensing using shared resources. This paper investigates the performance of full-duplex (FD) communication in near-field ISAC systems, where spherical-wave propagation introduces unique beam-focusing capabilities. We propose a joint optimization framework for transmit and receive beamforming at the base station to minimize transmit power while satisfying ra…

Breaking the Baryon Density$\unicode{x2013}$Hubble Constant Degeneracy in Fast Radio Burst Applications with Associated Gravitational Waves
Joscha N. Jahns-Schindler, Laura G. Spitler
https://arxiv.org/abs/2508.14434

Breaking the Baryon Density$\unicode{x2013}$Hubble Constant Degeneracy in Fast Radio Burst Applications with Associated Gravitational Waves
Fast Radio Bursts (FRBs) are a unique probe of the cosmos, owing to dispersion caused by free electrons in the intergalactic medium (IGM). Two of the main quantities of interest are degenerate: the density of matter $Ω_\mathrm{b}f_\mathrm{d}$ outside of galaxies and the Hubble constant $H_0$. Here, we present a new possibility of breaking the degeneracy without invoking early Universe priors on $Ω_\mathrm{b}$. Assuming some FRBs originate in compact object mergers, the combination of dispersi…

Minimum Clustering of Matrices Based on Phase Alignment
Honghao Wu, Kemi Ding, Li Qiu
https://arxiv.org/abs/2507.13678 https://arxiv.…

Minimum Clustering of Matrices Based on Phase Alignment
Coordinating multi-agent systems requires balancing synchronization performance and controller implementation costs. To this end, we classify agents by their intrinsic properties, enabling each group to be controlled by a uniform controller and thus reducing the number of unique controller types required. Existing centralized control methods, despite their capability to achieve high synchronization performance with fewer types of controllers, suffer from critical drawbacks such as limited scala…

Evidence for single variant in altermagnetic RuO2(101) thin films
Cong He, Zhenchao Wen, Jun Okabayashi, Yoshio Miura, Tianyi Ma, Tadakatsu Ohkubo, Takeshi Seki, Hiroaki Sukegawa, Seiji Mitani
https://arxiv.org/abs/2508.13720

Evidence for single variant in altermagnetic RuO2(101) thin films
Altermagnetism presents intriguing possibilities for spintronic devices due to its unique combination of strong spin-splitting and zero net magnetization. However, realizing its full potential hinges on fabricating single-variant altermagnetic thin films. In this work, we present definitive evidence for the formation of single-variant altermagnetic RuO2(101) thin films with fully epitaxial growth on Al2O3(1-102) r-plane substrates, confirmed through rigorous structural analyses using X-ray diff…

Explainable Information Design
Yiling Chen, Tao Lin, Wei Tang, Jamie Tucker-Foltz
https://arxiv.org/abs/2508.14196 https://arxiv.org/pdf/2508.14196

Explainable Information Design
The optimal signaling schemes in information design (Bayesian persuasion) problems often involve non-explainable randomization or disconnected partitions of state space, which are too intricate to be audited or communicated. We propose explainable information design in the context of information design with a continuous state space, restricting the information designer to use $K$-partitional signaling schemes defined by deterministic and monotone partitions of the state space, where a unique si…

Listening to black mirrors with gravitational radiation
Pau Amaro Seoane
https://arxiv.org/abs/2508.13272 https://arxiv.org/pdf/2508.13272

Listening to black mirrors with gravitational radiation
The existence of curvature singularities and the information and firewall paradoxes are significant problems for the conventional black hole model. The black mirror hypothesis provides a CPT-symmetric alternative to the classical description of black hole, offering a novel solution to these long-standing issues. We show that classical black holes can, in principle, be distinguished from black mirrors observationally, by using gravitational waves. The principal challenge is to identify a unique,…

Driven shear flow in biological magneto-active fluids
Malo Marmol, C\'ecile Cottin-Bizonne, Andrejs Cebers, Damien Faivre, Christophe Ybert
https://arxiv.org/abs/2507.13851

Driven shear flow in biological magneto-active fluids
Active fluids made of powered suspended particles have unique abilities to self-generate flow and density structures. How such dynamics can be triggered and leveraged by external cues is a key question of both biological and applied relevance. Here we use magnetotactic bacteria to explore how chemotaxis and magnetotaxis -- leading, respectively, to positional and orientational responses -- combine to generate global scale flows. Such steady regime can be quantitatively captured by a magneto-act…

Offline Neutrino Filtering using a Convolutional Neural Network-Based Algorithm at the Radio Neutrino Observatory Greenland
Ruben Camphyn (for the RNO-G collaboration)
https://arxiv.org/abs/2508.13860 …

Offline Neutrino Filtering using a Convolutional Neural Network-Based Algorithm at the Radio Neutrino Observatory Greenland
Neutrino astronomy is a vibrant field of study in astrophysics, offering unique insights into the Universe's most energetic phenomena. The combination of a low cross section and zero electromagnetic charge ensure that a neutrino retains most information about its original source while traversing the universe. On the other hand, these low cross sections, combined with a reduced flux at higher energies, make the neutrino one of the most elusive particles to detect in the standard model. The Radio…

A Real-world Display Inverse Rendering Dataset
Seokjun Choi, Hoon-Gyu Chung, Yujin Jeon, Giljoo Nam, Seung-Hwan Baek
https://arxiv.org/abs/2508.14411 https://

A Real-world Display Inverse Rendering Dataset
Inverse rendering aims to reconstruct geometry and reflectance from captured images. Display-camera imaging systems offer unique advantages for this task: each pixel can easily function as a programmable point light source, and the polarized light emitted by LCD displays facilitates diffuse-specular separation. Despite these benefits, there is currently no public real-world dataset captured using display-camera systems, unlike other setups such as light stages. This absence hinders the developm…

The revolution in strong lensing discoveries from Euclid
Natalie E. P. Lines, Tian Li, Thomas E. Collett, Philip Holloway, James W. Nightingale, Karina Rojas, Aprajita Verma, Mike Walmsley
https://arxiv.org/abs/2508.14624

The revolution in strong lensing discoveries from Euclid
Strong gravitational lensing offers a powerful and direct probe of dark matter, galaxy evolution and cosmology, yet strong lenses are rare: only 1 in roughly 10,000 massive galaxies can lens a background source into multiple images. The European Space Agency's Euclid telescope, with its unique combination of high-resolution imaging and wide-area sky coverage, is set to transform this field. In its first quick data release, covering just 0.45% of the full survey area, around 500 high-quality str…

If you're interested in the unique intersection of developing for #Apple platforms - but also being able to enable other people globally to use Apple devices at their own place of work or school - you should come work in my org:
https://jobs.apple.com/en-us/details/200620469/software-engineer-in-enterprise-and-education-technologies
https://jobs.apple.com/en-us/details/200621098/software-development-engineer-device-management
https://jobs.apple.com/en-us/details/200621115/software-development-engineering-manager-device-management

EU to apply 'unique' approach to Ukraine's accession path as Hungary wields veto, official says: https://benborges.xyz/2025/09/13/eu-to-apply-unique-approach.html

«younger generations are seeking information on social video platforms rather than the open web. This gradual shift is not unique to #Wikipedia. Many other publishers and content platforms are reporting similar shifts as users spend more time on search engines, AI chatbots, and social media to find information.»
All of those "alternatives" are facilitated through algorithmic recommendation engines designed to maximize profits, what could possible go wrong there…
https://www.404media.co/wikipedia-says-ai-is-causing-a-dangerous-decline-in-human-visitors/

there should be more people on fedi with strange unique and or terrifying worldviews i can follow just to study how their brains work, for the most part i gotta go other places for that

Seedlings (XPd on PC)
There's some strange new forms of life in the New Zealand forests, take control of one and explore.
So this is a short puzzle platformer with a neat catch: most of what you'll see on the screen are images captured directly from the forests of New Zealand. Using real images as a backdrop is certainly not a new idea, but it's used remarkably well here.
The gameplay is simple enough: as an apparently sentient seed, you are tasked with travers…

Dual-Role Dynamics in Prompting: Elementary Pre-service Teachers' AI Prompting Strategies for Representational Choices
Razan Hamed, Amogh Sirnoorkar, N. Sanjay Rebello
https://arxiv.org/abs/2508.14760

Dual-Role Dynamics in Prompting: Elementary Pre-service Teachers' AI Prompting Strategies for Representational Choices
Pre-service teachers play a unique dual role as they straddle between the roles of students and future teachers. This dual role requires them to adopt both the learner's and the instructor's perspectives while engaging with pedagogical and content knowledge. The current study investigates how pre-service elementary teachers taking a physical science course prompt AI to generate representations that effectively communicate conceptual ideas to two distinct audiences. The context involves particip…

UCorr: Wire Detection and Depth Estimation for Autonomous Drones
Benedikt Kolbeinsson, Krystian Mikolajczyk
https://arxiv.org/abs/2509.14989 https://arxiv.…

UCorr: Wire Detection and Depth Estimation for Autonomous Drones
In the realm of fully autonomous drones, the accurate detection of obstacles is paramount to ensure safe navigation and prevent collisions. Among these challenges, the detection of wires stands out due to their slender profile, which poses a unique and intricate problem. To address this issue, we present an innovative solution in the form of a monocular end-to-end model for wire segmentation and depth estimation. Our approach leverages a temporal correlation layer trained on synthetic data, pro…

Assessing Historical Structural Oppression Worldwide via Rule-Guided Prompting of Large Language Models
Sreejato Chatterjee, Linh Tran, Quoc Duy Nguyen, Roni Kirson, Drue Hamlin, Harvest Aquino, Hanjia Lyu, Jiebo Luo, Timothy Dye
https://arxiv.org/abs/2509.15216

Assessing Historical Structural Oppression Worldwide via Rule-Guided Prompting of Large Language Models
Traditional efforts to measure historical structural oppression struggle with cross-national validity due to the unique, locally specified histories of exclusion, colonization, and social status in each country, and often have relied on structured indices that privilege material resources while overlooking lived, identity-based exclusion. We introduce a novel framework for oppression measurement that leverages Large Language Models (LLMs) to generate context-sensitive scores of lived historical…

Punk’s 10 Best Accordion Players: A Tribute to Squeezebox Rockers
(Discuss)
https://dyingscene.com/archive/heroes-of-the-punk-accordion-a-tribute-to-squeezebox-rockers/
This is a few years old so there’s been some lineup chang…

30 distinct dance moves! https://www.abc.net.au/news/2025-08-07/cockatoos-have-unique-dance-moves-csu-study-finds/105600994

Tuning the Surface States of $Fe_3O_4$ Nanoparticles for Enhanced Magnetic Anisotropy and Induction Efficacy
Kyle A. Portwin (Institute for Superconducting and Electronic Materials, Faculty of Engineering and Information Science, University of Wollongong, North Wollongong, Australia, School of Physics, Faculty of Engineering and Information Science, University of Wollongong, Wollongong, Australia), Pablo Galaviz (Australian Centre for Neutron Scattering, Australian Nuclear Science and …

Tuning the Surface States of $Fe_3O_4$ Nanoparticles for Enhanced Magnetic Anisotropy and Induction Efficacy
Magnetite ($Fe_3O_4$) nanoparticles are crucial for biomedical applications, including magnetic hyperthermia, targeted drug delivery, and MRI contrast enhancement, due to their biocompatibility and unique physicochemical properties. Here, we investigate how surface states influence their induction performance. Heat treatment removes surface water and FeOOH, forming a $γ$-$Fe_2O_3$ shell, as confirmed by synchrotron powder diffraction, neutron powder diffraction, thermogravimetric analysis, X-r…

Advanced DOA Regulation with a Whale-Optimized Fractional Order Fuzzy PID Framework
Lida Shahbandari, Hossein Mohseni
https://arxiv.org/abs/2508.12487 https://

Advanced DOA Regulation with a Whale-Optimized Fractional Order Fuzzy PID Framework
This study introduces a Fractional Order Fuzzy PID (FOFPID) controller that uses the Whale Optimization Algorithm (WOA) to manage the Bispectral Index (BIS), keeping it within the ideal range of forty to sixty. The FOFPID controller combines fuzzy logic for adapting to changes and fractional order dynamics for fine tuning. This allows it to adjust its control gains to handle a person's unique physiology. The WOA helps fine tune the controller's parameters, including the fractional orders and th…

Personalization on a Budget: Minimally-Labeled Continual Learning for Resource-Efficient Seizure Detection
Amirhossein Shahbazinia, Jonathan Dan, Jose A. Miranda, Giovanni Ansaloni, David Atienza
https://arxiv.org/abs/2509.13974

Personalization on a Budget: Minimally-Labeled Continual Learning for Resource-Efficient Seizure Detection
Objective: Epilepsy, a prevalent neurological disease, demands careful diagnosis and continuous care. Seizure detection remains challenging, as current clinical practice relies on expert analysis of electroencephalography, which is a time-consuming process and requires specialized knowledge. Addressing this challenge, this paper explores automated epileptic seizure detection using deep learning, focusing on personalized continual learning models that adapt to each patient's unique electroenceph…

Agent's Take: A unique compromise that could end the Commanders-Terry McLaurin contract dispute

https://www.cbssports.com/nfl/news/agents-

An Adversarial-Driven Experimental Study on Deep Learning for RF Fingerprinting
Xinyu Cao, Bimal Adhikari, Shangqing Zhao, Jingxian Wu, Yanjun Pan
https://arxiv.org/abs/2507.14109

An Adversarial-Driven Experimental Study on Deep Learning for RF Fingerprinting
Radio frequency (RF) fingerprinting, which extracts unique hardware imperfections of radio devices, has emerged as a promising physical-layer device identification mechanism in zero trust architectures and beyond 5G networks. In particular, deep learning (DL) methods have demonstrated state-of-the-art performance in this domain. However, existing approaches have primarily focused on enhancing system robustness against temporal and spatial variations in wireless environments, while the security …

game_thrones: Game of Thrones coappearances
Network of coappearances of characters in the Game of Thrones series, by George R. R. Martin, and in particular coappearances in the book "A Storm of Swords." Nodes are unique characters, and edges are weighted by the number of times the two characters' names appeared within 15 words of each other in the text.
This network has 107 nodes and 352 edges.
Tags: Social, Fictional, Weighted

Spin decoherence dynamics of Er$^{3 }$ in CeO$_2$ film
Sagar Kumar Seth, Jonah Nagura, Vrindaa Somjit, Aneesh Bapat, Xinhao Li, Gregory D. Grant, Ignas Masiulionis, Xu Han, F. Joseph Heremans, Giulia Galli, David D. Awschalom, Supratik Guha, Jiefei Zhang
https://arxiv.org/abs/2508.12429

Spin decoherence dynamics of Er$^{3+}$ in CeO$_2$ film
Developing telecom-compatible spin-photon interfaces is essential towards scalable quantum networks. Erbium ions (Er$^{3+}$) exhibit a unique combination of a telecom (1.5 $μ$m) optical transition and an effective spin-$1/2$ ground state, but identifying a host that enables heterogeneous device integration while preserving long optical and spin coherence remains an open challenge. We explore a new platform of Er$^{3+}$:CeO$_2$ films on silicon, offering low nuclear spin density and the potenti…

Modeling and Control of AWOISV: A Filtered Tube-Based MPC Approach for Simultaneous Tracking of Lateral Position and Heading Angle
Xu Yang, Jun Ni, Hengyang Feng, Feiyu Wang, Tiezhen Wang
https://arxiv.org/abs/2508.13457

Modeling and Control of AWOISV: A Filtered Tube-Based MPC Approach for Simultaneous Tracking of Lateral Position and Heading Angle
An all-wheel omni-directional independent steering vehicle (AWOISV) is a specialized all-wheel independent steering vehicle with each wheel capable of steering up to 90°, enabling unique maneuvers like yaw and diagonal movement. This paper introduces a theoretical steering radius angle and sideslip angle (\( θ_R \)-\(β_R \)) representation, based on the position of the instantaneous center of rotation relative to the wheel rotation center, defining the motion modes and switching criteria for…

Understanding Pedagogical Content Knowledge of Data Science Instructors: An Inaugural Framework
Sinem Demirci, Mine Do\u{g}ucu, Andrew Zieffler, Joshua M. Rosenberg
https://arxiv.org/abs/2508.14009

Understanding Pedagogical Content Knowledge of Data Science Instructors: An Inaugural Framework
As data science emerges as a distinct academic discipline, introductory data science (IDS) courses have also drawn attention to their role in providing foundational knowledge of data science to students. IDS courses not only help students transition to higher education but also expose students to the field, often for the first time. They are often taught by instructors without formal training in data science or pedagogy, creating a unique context for examining their pedagogical content knowledg…

Strongly Set-Colorable Graphs: A Complete Characterization
Kumar Abhishek
https://arxiv.org/abs/2508.13210 https://arxiv.org/pdf/2508.13210

Strongly Set-Colorable Graphs: A Complete Characterization
In this note, we revisit the notion of strong set-colorings introduced by Hegde (2009) and completed by equivalences due to Boutin et al. (2010) and provide a necessary and sufficient \emph{Steiner packing} characterisation: a finite graph $G$ is strongly set-colorable if and only if its associated $3$-uniform hypergraph is a $(2,3,2^{n}-1)$-packing of the unique Steiner triple system $S(2,3,2^{n}-1)$. This unification allows many earlier necessary conditions to be derived instantly as corollar…

A long-form single-speaker real-time MRI speech dataset and benchmark
Sean Foley, Jihwan Lee, Kevin Huang, Xuan Shi, Yoonjeong Lee, Louis Goldstein, Shrikanth Narayanan
https://arxiv.org/abs/2509.14479

A long-form single-speaker real-time MRI speech dataset and benchmark
We release the USC Long Single-Speaker (LSS) dataset containing real-time MRI video of the vocal tract dynamics and simultaneous audio obtained during speech production. This unique dataset contains roughly one hour of video and audio data from a single native speaker of American English, making it one of the longer publicly available single-speaker datasets of real-time MRI speech data. Along with the articulatory and acoustic raw data, we release derived representations of the data that are s…

A YTD correspondence for constant scalar curvature metrics
Tam\'as Darvas, Kewei Zhang
https://arxiv.org/abs/2509.15173 https://arxiv.org/pdf/2509.1517…

A YTD correspondence for constant scalar curvature metrics
Given a compact Kähler manifold, we provide a uniform YTD correspondence that characterizes the existence of a unique constant scalar curvature metric using ample/Kähler test configurations. The main point of our approach is to replace the $K$ energy with much better behaving variants, whose properties are similar to the Ding energy from the Fano case. Connections with the non-Archimedean point of view on K-stability are also briefly discussed.

IP2: Entity-Guided Interest Probing for Personalized News Recommendation
Youlin Wu, Yuanyuan Sun, Xiaokun Zhang, Haoxi Zhan, Bo Xu, Liang Yang, Hongfei Lin
https://arxiv.org/abs/2507.13622

IP2: Entity-Guided Interest Probing for Personalized News Recommendation
News recommender systems aim to provide personalized news reading experiences for users based on their reading history. Behavioral science studies suggest that screen-based news reading contains three successive steps: scanning, title reading, and then clicking. Adhering to these steps, we find that intra-news entity interest dominates the scanning stage, while the inter-news entity interest guides title reading and influences click decisions. Unfortunately, current methods overlook the unique …

How xAI is building Colossus 2, which is on track to be the world's first gigawatt-scale AI datacenter after reaching 200MW in six months (Jeremie Eliahou Ontiveros/SemiAnalysis)
https://semianalysis.com/2025/09/16/xais-colossus-2-first-gigawatt-datacenter/…

xAI’s Colossus 2 – First Gigawatt Datacenter In The World, Unique RL Methodology, Capital Raise
Much has been written about xAI’s Colossus 1. The Memphis build belongs in the history books: the largest AI training cluster, erected from scratch in 122 days. With roughly 200,000 H100/H200s and …

EvolMathEval: Towards Evolvable Benchmarks for Mathematical Reasoning via Evolutionary Testing
Shengbo Wang, Mingwei Liu, Zike Li, Anji Li, Yanlin Wang, Xin Peng, Zibin Zheng
https://arxiv.org/abs/2508.13003

EvolMathEval: Towards Evolvable Benchmarks for Mathematical Reasoning via Evolutionary Testing
The rapid advancement of LLMs poses a significant challenge to existing mathematical reasoning benchmarks. These benchmarks commonly suffer from issues such as score saturation, temporal decay, and data contamination. To address this challenge, this paper introduces EvolMathEval, an automated mathematical benchmark generation and evolution framework based on evolutionary testing. By dynamically generating unique evaluation instances ab initio, the framework fundamentally eliminates the risk of …

Prospects for $P$ and $C\!P$ violation in $\Lambda_{c}^{ }$ decays with polarized beam at Super Tau-Charm Facility
Hong-Jian Wang, Cheng Wang, Hao Sun, Pei-Rong Li, Xiao-Rui Lyu, Rong-Gang Ping
https://arxiv.org/abs/2508.12217

Prospects for $P$ and $C\!P$ violation in $Λ_{c}^{+}$ decays with polarized beam at Super Tau-Charm Facility
Weak decays of the charmed baryons offer an ideal platform to study parity ($P$) and charge conjugation-parity ($C\!P$) violation in quark sector, to stringently test the Standard Model and search for new physics. It is a key goal in the next-generation positron-electron collider, such as the Super Tau-Charm Facility (STCF). Thanks to the quantum-entangled pair production with super high luminosity and the possibility of beam polarization, STCF provides a unique environment to probe such symmet…

Finite-Dimensional Quantum Systems under the Fourth Law of Thermodynamics
Rohit Kishan Ray
https://arxiv.org/abs/2508.14389 https://arxiv.org/pdf/2508.1438…

Finite-Dimensional Quantum Systems under the Fourth Law of Thermodynamics
The Steepest Entropy Ascent (SEA) ansatz, recently recognized as the fourth law of thermodynamics, governs the irreversible evolution of a system from a non-equilibrium state toward a unique maximum-entropy equilibrium. SEA builds upon the second law to unify mechanics and thermodynamics. Due to its nonlinear nature, exact solutions to the SEA equation of motion are scarce. To address this, the Fixed Lagrange Multiplier (FLM) method is developed as an approximate analytical tool, applicable to …

Autferroicity: concept, candidates, and applications
Jun-Jie Zhang, Ziwen Wang, Shuai Dong
https://arxiv.org/abs/2507.13733 https://a…

Autferroicity: concept, candidates, and applications
Autferroicity is a newly proposed form of hybrid ferroicity, which is a sister branch of multiferroicity. It is characterized by the mutually exclusive magnetic and polar phases within a single system, giving a unique seesaw-type magnetoelectric coupling. This perspective provides a theoretical overview of its underlying concept, phase diagram characteristics, and representative candidates such as Ti-based trichalcogenide monolayers, while also highlighting its potential applications in nonvola…

A convergent Fourier spectral Galerkin method for the fractional Camassa-Holm equation
Mukul Dwivedi, Andreas Rupp
https://arxiv.org/abs/2508.13683 https://

A convergent Fourier spectral Galerkin method for the fractional Camassa-Holm equation
We analyze a Fourier spectral Galerkin method for the fractional Camassa-Holm (fCH) equation involving a fractional Laplacian of exponent $α\in [1,2]$ with periodic boundary conditions. The semi-discrete scheme preserves both mass and energy invariants of the fCH equation. For the fractional Benjamin-Bona-Mahony reduction, we establish existence and uniqueness of semi-discrete solutions and prove strong convergence to the unique solution in $ C^1([0, T];H^α_{\mathrm{per}}(I))$ for given $T>0$…

Supervised Extraction of the Thermal Sunyaev$-$Zel'dovich Effect with a Three-Dimensional Convolutional Neural Network
Cameron T. Pratt, Zhijie Qu, Joel N. Bregman
https://arxiv.org/abs/2507.13400

Supervised Extraction of the Thermal Sunyaev$-$Zel'dovich Effect with a Three-Dimensional Convolutional Neural Network
The thermal Sunyaev$-$Zel'dovich (SZ) effect offers a unique probe of the hot and diffuse universe that could help close the missing baryon problem. Traditional extractions of the SZ effect, however, exhibit systematic noise that may lead to unreliable results. In this work, we provide an alternative solution using a three-dimensional Attention Nested U-Net trained end-to-end with supervised learning. Our labeled data consists of simulated SZ signals injected into $\textit{Planck}$ frequency ma…

LumiMAS: A Comprehensive Framework for Real-Time Monitoring and Enhanced Observability in Multi-Agent Systems
Ron Solomon, Yarin Yerushalmi Levi, Lior Vaknin, Eran Aizikovich, Amit Baras, Etai Ohana, Amit Giloni, Shamik Bose, Chiara Picardi, Yuval Elovici, Asaf Shabtai
https://arxiv.org/abs/2508.12412

LumiMAS: A Comprehensive Framework for Real-Time Monitoring and Enhanced Observability in Multi-Agent Systems
The incorporation of large language models in multi-agent systems (MASs) has the potential to significantly improve our ability to autonomously solve complex problems. However, such systems introduce unique challenges in monitoring, interpreting, and detecting system failures. Most existing MAS observability frameworks focus on analyzing each individual agent separately, overlooking failures associated with the entire MAS. To bridge this gap, we propose LumiMAS, a novel MAS observability framew…

bag_of_words: Bag of words (2008)
Five text collections in the form of bags-of-words, i.e. a bipartite document–word network. Left nodes are documents and right nodes are words. Edge weights are multiplicities. .
This network has 13919 nodes and 746316 edges.
Tags: Informational, Text, Bipartite, Weighted, Metadata
https://

Unique CeeDee Lamb Penalty Draws Explanation From NFL https://heavy.com/sports/nfl/dallas-cowboys/unique-ceedee-lamb-penalty-explanation-nfl/?adt_ei=[email]

Two Sides to Every Story: Exploring Hybrid Design Teams' Perceptions of Psychological Safety on Slack
Marjan Naghshbandi, Sharon Ferguson, Alison Olechowski
https://arxiv.org/abs/2508.11788

Two Sides to Every Story: Exploring Hybrid Design Teams' Perceptions of Psychological Safety on Slack
While the unique challenges of hybrid work can compromise collaboration and team dynamics, hybrid teams can thrive with well-informed strategies and tools that nurture interpersonal engagements. To inform future supports, we pursue a mixed-methods study of hybrid engineering design capstone teams' Psychological Safety (PS) (i.e., their climate of interpersonal risk-taking and mutual respect) to understand how the construct manifests in teams engaged in innovation. Using interviews, we study six…

Quantum Shadows: The Dining Information Brokers
Theodore Andronikos, Constantinos Bitsakos, Konstantinos Nikas, Georgios I. Goumas, Nectarios Koziris
https://arxiv.org/abs/2507.13810

Quantum Shadows: The Dining Information Brokers
This article introduces the innovative Quantum Dining Information Brokers Problem, presenting a novel entanglement-based quantum protocol to address it. The scenario involves $n$ information brokers, all located in distinct geographical regions, engaging in a metaphorical virtual dinner. The objective is for each broker to share a unique piece of information with all others simultaneously. Unlike previous approaches, this protocol enables a fully parallel, single-step communication exchange amo…

MPOCryptoML: Multi-Pattern based Off-Chain Crypto Money Laundering Detection
Yasaman Samadi, Hai Dong, Xiaoyu Xia
https://arxiv.org/abs/2508.12641 https://…

MPOCryptoML: Multi-Pattern based Off-Chain Crypto Money Laundering Detection
Recent advancements in money laundering detection have demonstrated the potential of using graph neural networks to capture laundering patterns accurately. However, existing models are not explicitly designed to detect the diverse patterns of off-chain cryptocurrency money laundering. Neglecting any laundering pattern introduces critical detection gaps, as each pattern reflects unique transactional structures that facilitate the obfuscation of illicit fund origins and movements. Failure to acco…

Subjective Evaluation of Low Distortion Coded Light Fields with View Synthesis
Daniela Saraiva, Joao Prazeres, Manuela Pereira, Antonio M. G. Pinheiro
https://arxiv.org/abs/2509.14761

Subjective Evaluation of Low Distortion Coded Light Fields with View Synthesis
Light field technology is a powerful imaging method that captures both the intensity and direction of light rays in a scene, enabling the reconstruction of 3D information and supporting a range of unique applications. However, light fields produce vast amounts of data, making efficient compression essential for their practical use. View synthesis plays a key role in light field technology by enabling the generation of new views, yet its interaction with compression has not been fully explored. …

Brian Schottenheimer addresses viral CeeDee Lamb-ref collision with unique take https://www.si.com/nfl/cowboys/news/brian-schottenheimer-addresses-viral-ceedee-lamb-ref-collision-unique-take

CETUS: Causal Event-Driven Temporal Modeling With Unified Variable-Rate Scheduling
Hanfang Liang, Bing Wang, Shizhen Zhang, Wen Jiang, Yizhuo Yang, Weixiang Guo, Shenghai Yuan
https://arxiv.org/abs/2509.13784

CETUS: Causal Event-Driven Temporal Modeling With Unified Variable-Rate Scheduling
Event cameras capture asynchronous pixel-level brightness changes with microsecond temporal resolution, offering unique advantages for high-speed vision tasks. Existing methods often convert event streams into intermediate representations such as frames, voxel grids, or point clouds, which inevitably require predefined time windows and thus introduce window latency. Meanwhile, pointwise detection methods face computational challenges that prevent real-time efficiency due to their high computati…

Multi-Sensory Cognitive Computing for Learning Population-level Brain Connectivity
Mayssa Soussia, Mohamed Ali Mahjoub, Islem Rekik
https://arxiv.org/abs/2508.11436 https://

Multi-Sensory Cognitive Computing for Learning Population-level Brain Connectivity
The generation of connectional brain templates (CBTs) has recently garnered significant attention for its potential to identify unique connectivity patterns shared across individuals. However, existing methods for CBT learning such as conventional machine learning and graph neural networks (GNNs) are hindered by several limitations. These include: (i) poor interpretability due to their black-box nature, (ii) high computational cost, and (iii) an exclusive focus on structure and topology, overlo…

Enhanced Radio Emission Between a Galaxy Cluster Pair
Andrea Botteon, Turgay Caglar, Sibel D\"oner, Reinout J. van Weeren, Krista Lynne Smith
https://arxiv.org/abs/2509.14348

Enhanced Radio Emission Between a Galaxy Cluster Pair
Interacting galaxy cluster pairs offer a unique opportunity to study the properties of the gas in the intracluster bridge connecting them. As a consequence of the encounter, both the X-ray and radio emission from the gas are expected to be enhanced by shocks and turbulence, facilitating their detection. PSZ2 G279.79+39.09 is likely an off-axis merging system at $z = 0.29$, with its two main components observed shortly after pericenter passage. In this paper, we investigate the presence of diffu…

Multi-player conflict avoidance through entangled quantum walks
Honoka Shiratori, Tomoki Yamagami, Etsuo Segawa, Takatomo Mihana, Andr\'e R\"ohm, Ryoichi Horisaki
https://arxiv.org/abs/2508.14456

Multi-player conflict avoidance through entangled quantum walks
Quantum computing has the potential to solve complex problems faster and more efficiently than classical computing. It can achieve speedups by leveraging quantum phenomena like superposition, entanglement, and tunneling. Quantum walks (QWs) form the foundation for many quantum algorithms. Unlike classical random walks, QWs exhibit quantum interference, leading to unique behaviors such as linear spreading and localization. These properties make QWs valuable for various applications, including un…

CS-FLEURS: A Massively Multilingual and Code-Switched Speech Dataset
Brian Yan, Injy Hamed, Shuichiro Shimizu, Vasista Lodagala, William Chen, Olga Iakovenko, Bashar Talafha, Amir Hussein, Alexander Polok, Kalvin Chang, Dominik Klement, Sara Althubaiti, Puyuan Peng, Matthew Wiesner, Thamar Solorio, Ahmed Ali, Sanjeev Khudanpur, Shinji Watanabe, Chih-Chen Chen, Zhen Wu, Karim Benharrak, Anuj Diwan, Samuele Cornell, Eunjung Yeo, Kwanghee Choi, Carlos Carvalho, Karen Rosero

CS-FLEURS: A Massively Multilingual and Code-Switched Speech Dataset
We present CS-FLEURS, a new dataset for developing and evaluating code-switched speech recognition and translation systems beyond high-resourced languages. CS-FLEURS consists of 4 test sets which cover in total 113 unique code-switched language pairs across 52 languages: 1) a 14 X-English language pair set with real voices reading synthetically generated code-switched sentences, 2) a 16 X-English language pair set with generative text-to-speech 3) a 60 {Arabic, Mandarin, Hindi, Spanish}-X langu…

SimCoachCorpus: A naturalistic dataset with language and trajectories for embodied teaching
Emily Sumner, Deepak E. Gopinath, Laporsha Dees, Patricio Reyes Gomez, Xiongyi Cui, Andrew Silva, Jean Costa, Allison Morgan, Mariah Schrum, Tiffany L. Chen, Avinash Balachandran, Guy Rosman
https://arxiv.org/abs/2509.14548

SimCoachCorpus: A naturalistic dataset with language and trajectories for embodied teaching
Curated datasets are essential for training and evaluating AI approaches, but are often lacking in domains where language and physical action are deeply intertwined. In particular, few datasets capture how people acquire embodied skills through verbal instruction over time. To address this gap, we introduce SimCoachCorpus: a unique dataset of race car simulator driving that allows for the investigation of rich interactive phenomena during guided and unguided motor skill acquisition. In this dat…

On 3-Connected Cubic Planar Graphs and their Strong Embeddings on Orientable Surfaces
Meike Wei{\ss}, Reymond Akpanya, Alice C. Niemeyer
https://arxiv.org/abs/2509.14964 https:/…

On 3-Connected Cubic Planar Graphs and their Strong Embeddings on Orientable Surfaces
Although the strong embedding of a 3-connected planar graph $G$ on the sphere is unique, $G$ can have different inequivalent strong embeddings on a surface of positive genus. If $G$ is cubic, then the strong embeddings of $G$ on the projective plane, the torus and the Klein bottle each are in one-to-one correspondence with certain subgraphs of the dual graph $G^\ast$. Here, we exploit this characterisation and show that two strong embeddings of $G$ on the projective plane, the torus or the Klei…

On Optimality and Human Prediction of Event Duration in Real-Time, Real-World Contexts
Mark G Orr
https://arxiv.org/abs/2509.14482 https://arxiv.org/pdf/25…

On Optimality and Human Prediction of Event Duration in Real-Time, Real-World Contexts
The focus of the current work concerned the psychological processes that underlie prediction of an events duration. The objective was to push forward existing psychological theory on event duration prediction, something made possible by the unique features of our data context. The provisional findings suggested that the prior, existing theoretical mechanism of event duration prediction is incomplete because: i. it does not support adaptive responses when event duration judgments are dependent, …

Brian Schottenheimer addresses viral CeeDee Lamb-ref collision with unique take https://www.si.com/nfl/cowboys/news/brian-schottenheimer-addresses-viral-ceedee-lamb-ref-collision-unique-take

Non-r-partite graphs without complete split subgraphs
Bing Wang, Wenwen Chen, Ping Zhang
https://arxiv.org/abs/2508.12210 https://arxiv.org/pdf/2508.12210

Non-r-partite graphs without complete split subgraphs
The classical Simonovits' chromatic critical edge theorem shows that for sufficiently large $n$, if $H$ is an edge-color-critical graph with $χ(H)=p+1\ge 3$, then the Turán graph $T_{n,p}$ is the unique extremal graph with respect to ${\rm ex}(n,H)$. Denote by ${\rm EX}_{r+1}(n,H)$ and ${\rm SPEX}_{r+1}(n,H)$ the family of $n$-vertex $H$-free non-$r$-partite graphs with the maximum size and with the spectral radius, respectively. Li and Peng [SIAM J. Discrete Math. 37 (2023) 2462--2485] chara…

Learning in Context: Personalizing Educational Content with Large Language Models to Enhance Student Learning
Joy Jia Yin Lim, Daniel Zhang-Li, Jifan Yu, Xin Cong, Ye He, Zhiyuan Liu, Huiqin Liu, Lei Hou, Juanzi Li, Bin Xu
https://arxiv.org/abs/2509.15068

Learning in Context: Personalizing Educational Content with Large Language Models to Enhance Student Learning
Standardized, one-size-fits-all educational content often fails to connect with students' individual backgrounds and interests, leading to disengagement and a perceived lack of relevance. To address this challenge, we introduce PAGE, a novel framework that leverages large language models (LLMs) to automatically personalize educational materials by adapting them to each student's unique context, such as their major and personal interests. To validate our approach, we deployed PAGE in a semester-…

game_thrones: Game of Thrones coappearances
Network of coappearances of characters in the Game of Thrones series, by George R. R. Martin, and in particular coappearances in the book "A Storm of Swords." Nodes are unique characters, and edges are weighted by the number of times the two characters' names appeared within 15 words of each other in the text.
This network has 107 nodes and 352 edges.
Tags: Social, Fictional, Weighted

Data Augmentation for Maltese NLP using Transliterated and Machine Translated Arabic Data
Kurt Micallef, Nizar Habash, Claudia Borg
https://arxiv.org/abs/2509.12853 https://

Data Augmentation for Maltese NLP using Transliterated and Machine Translated Arabic Data
Maltese is a unique Semitic language that has evolved under extensive influence from Romance and Germanic languages, particularly Italian and English. Despite its Semitic roots, its orthography is based on the Latin script, creating a gap between it and its closest linguistic relatives in Arabic. In this paper, we explore whether Arabic-language resources can support Maltese natural language processing (NLP) through cross-lingual augmentation techniques. We investigate multiple strategies for a…

ICDAR 2025 Competition on FEw-Shot Text line segmentation of ancient handwritten documents (FEST)
Silvia Zottin, Axel De Nardin, Giuseppe Branca, Claudio Piciarelli, Gian Luca Foresti
https://arxiv.org/abs/2509.12965

ICDAR 2025 Competition on FEw-Shot Text line segmentation of ancient handwritten documents (FEST)
Text line segmentation is a critical step in handwritten document image analysis. Segmenting text lines in historical handwritten documents, however, presents unique challenges due to irregular handwriting, faded ink, and complex layouts with overlapping lines and non-linear text flow. Furthermore, the scarcity of large annotated datasets renders fully supervised learning approaches impractical for such materials. To address these challenges, we introduce the Few-Shot Text Line Segmentation of …

Computing fault-tolerant metric dimension of graphs using their primary subgraphs
S. Prabhu, Sandi Klav\v{z}ar, K. Bharani Dharan, S. Radha
https://arxiv.org/abs/2509.14300 http…

Computing fault-tolerant metric dimension of graphs using their primary subgraphs
The metric dimension of a graph is the cardinality of a minimum resolving set, which is the set of vertices such that the distance representations of every vertex with respect to that set are unique. A fault-tolerant metric basis is a resolving set with a minimum cardinality that continues to resolve the graph even after the removal of any one of its vertices. The fault-tolerant metric dimension is the cardinality of such a fault-tolerant metric basis. In this article, we investigate the fault-…