Tootfinder

Heroes at HOME! Ukrainians return from Russian captivity – new stage of the EXCHANGE #shorts: https://benborges.xyz/2025/07/23/heroes-at-home-ukrainians-return.html

Wild times.
Metallica saved Tomorrowland.
https://www.rollingstone.com/music/music-news/belgium-tomorrowland-saved-metallica-fire-main-stage-1235389522/
Elektrochemie LK - Schall (Thomas Schumacher) was feat…

Belgium’s Tomorrowland Saved by Metallica After Fire Destroys Main Stage
Despite a massive fire that destroyed its main stage, Belgium EDM festival Tomorrowland is taking place this weekend, thanks largely to Metallica.

Beginning the second day of the #Rotary International 2025 Convention in Calgary, Canada… over 15,000 people here!

"Tour de France riders applauded for a minute before the 12th stage on Thursday in memory of Samuele Privitera, the 19-year-old Italian who died after a crash while racing in Italy the day before.
Privitera crashed in the first stage of the Tour of Valle D’Aosta in the northwestern municipality of Pontey on Wednesday.
Race organizers said the circumstances of the accident were “still unclear and are being investigated by public safety authorities.”"

High-Frequency First: A Two-Stage Approach for Improving Image INR
Sumit Kumar Dam, Mrityunjoy Gain, Eui-Nam Huh, Choong Seon Hong
https://arxiv.org/abs/2508.15582 https://

High-Frequency First: A Two-Stage Approach for Improving Image INR
Implicit Neural Representations (INRs) have emerged as a powerful alternative to traditional pixel-based formats by modeling images as continuous functions over spatial coordinates. A key challenge, however, lies in the spectral bias of neural networks, which tend to favor low-frequency components while struggling to capture high-frequency (HF) details such as sharp edges and fine textures. While prior approaches have addressed this limitation through architectural modifications or specialized …

A Dynamic Strategic Plan for Transition to Campus-Scale Clean Electricity Using Multi-Stage Stochastic Programming
Ahmet Emir \c{S}ener, Burak Kocuk, Tu\u{g}\c{c}e Y\"uksel
https://arxiv.org/abs/2506.16423

A Dynamic Strategic Plan for Transition to Campus-Scale Clean Electricity Using Multi-Stage Stochastic Programming
The transition to clean energy systems at large-scale campuses is a critical step toward achieving global decarbonization goals. However, this transition poses significant challenges, including substantial capital requirements, technological uncertainties, and the operational complexities of integrating renewable energy technologies. This study presents a dynamic strategic planning framework for campus-scale clean electricity transitions, utilizing a multi-stage stochastic programming model tha…

AudioSet-R: A Refined AudioSet with Multi-Stage LLM Label Reannotation
Yulin Sun, Qisheng Xu, Yi Su, Qian Zhu, Yong Dou, Xinwang Liu, Kele Xu
https://arxiv.org/abs/2508.15429 ht…

AudioSet-R: A Refined AudioSet with Multi-Stage LLM Label Reannotation
AudioSet is a widely used benchmark in the audio research community and has significantly advanced various audio-related tasks. However, persistent issues with label accuracy and completeness remain critical bottlenecks that limit performance in downstream applications.To address the aforementioned challenges, we propose a three-stage reannotation framework that harnesses general-purpose audio-language foundation models to systematically improve the label quality of AudioSet. The framework empl…

EEG-based Epileptic Prediction via a Two-stage Channel-aware Set Transformer Network
Ruifeng Zheng, Cong Chen, Shuang Wang, Yiming Liu, Lin You, Jindong Lu, Ruizhe Zhu, Guodao Zhang, Kejie Huang
https://arxiv.org/abs/2507.15364

EEG-based Epileptic Prediction via a Two-stage Channel-aware Set Transformer Network
Epilepsy is a chronic, noncommunicable brain disorder, and sudden seizure onsets can significantly impact patients' quality of life and health. However, wearable seizure-predicting devices are still limited, partly due to the bulky size of EEG-collecting devices. To relieve the problem, we proposed a novel two-stage channel-aware Set Transformer Network that could perform seizure prediction with fewer EEG channel sensors. We also tested a seizure-independent division method which could prevent …

LongRetriever: Towards Ultra-Long Sequence based Candidate Retrieval for Recommendation
Ren Qin, Chai Zheng, Xiao Xijun, Zheng Yuchao, Wu Di
https://arxiv.org/abs/2508.15486 htt…

LongRetriever: Towards Ultra-Long Sequence based Candidate Retrieval for Recommendation
Precisely modeling user ultra-long sequences is critical for industrial recommender systems. Current approaches predominantly focus on leveraging ultra-long sequences in the ranking stage, whereas research for the candidate retrieval stage remains under-explored. This paper presents LongRetriever, a practical framework for incorporating ultra-long sequences into the retrieval stage of recommenders. Specifically, we propose in-context training and multi-context retrieval, which enable candidate-…

A profile of Katie Haun, a former federal prosecutor turned a16z partner who later founded Haun Ventures and believes the GENIUS Act will make stablecoins safer (Connie Loizos/TechCrunch)
https://techcrunch.com/2025/06/22/the-stab…

The stablecoin evangelist: Katie Haun's fight for digital dollars | TechCrunch
In 2018, when Bitcoin was trading around $4,000 and most Americans, at least, thought cryptocurrency was a fad, Katie Haun found herself on a debate stage in Mexico City opposite Paul Krugman, the Nobel Prize-winning economist. As Krugman focused on Bitcoin's wild price swings, Haun steered the conversation toward something else — stablecoins.

Little one has reached an interesting stage of personal hygiene. She wants to shower instead of taking baths, but can't do it fully by herself.
So i have to poke my head and arms around the shower curtain, soap up her head, rinse her hair without getting water in her eyes, and try not to get myself completely drenched in the process or fling too much water around the bathroom.

can’t decide what’s funnier: Sleep Token II drumming their heart out on stage with a soft rock front kid in a suit or said kid working the crowd that to 90% could be his grandparents
and yet it’s an 11 on the epic 🤘 scale
https://www.youtube.com/watch?v=oJZmO5mByVY

Schemora: schema matching via multi-stage recommendation and metadata enrichment using off-the-shelf llms
Osman Erman Gungor, Derak Paulsen, William Kang
https://arxiv.org/abs/2507.14376

Schemora: schema matching via multi-stage recommendation and metadata enrichment using off-the-shelf llms
Schema matching is essential for integrating heterogeneous data sources and enhancing dataset discovery, yet it remains a complex and resource-intensive problem. We introduce SCHEMORA, a schema matching framework that combines large language models with hybrid retrieval techniques in a prompt-based approach, enabling efficient identification of candidate matches without relying on labeled training data or exhaustive pairwise comparisons. By enriching schema metadata and leveraging both vector-b…

TikTok launches Music On Stage 2025, a global contest for artists from 23 regions on TikTok Live; it will promote winners on its distribution platform SoundOn (Mandy Dalugdug/Music Business Worldwide)
https://www.musicbusinessworldwide.com/tik

TikTok expands live music competition strategy with Music On Stage ’25 contest
Contestants will advance through audience votes, small gifts, and judges’ bonus points.

The Win Ratio at the Design Stage of Clinical Trials
David Kronthaler, Matthias Schwenkglenks, Felix Beuschlein, Ulrike Held
https://arxiv.org/abs/2507.15685

The Win Ratio at the Design Stage of Clinical Trials
The win ratio offers a flexible approach to incorporate the hierarchy of clinical outcomes into the analysis of a composite endpoint, enabling simultaneous consideration of multiple outcome types, unlike traditional time-to-first-event (TTFE) analysis or focus on a single outcome. We examined the statistical power of the win ratio compared to single-endpoint analyses and TTFE analysis through a case study and simulation studies. Furthermore, we provide a novel formula to estimate the required s…

GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing
Minnan Pei, Gang Li, Junwen Si, Zeyu Zhu, Zitao Mo, Peisong Wang, Zhuoran Song, Xiaoyao Liang, Jian Cheng
https://arxiv.org/abs/2507.15300

GCC: A 3DGS Inference Architecture with Gaussian-Wise and Cross-Stage Conditional Processing
3D Gaussian Splatting (3DGS) has emerged as a leading neural rendering technique for high-fidelity view synthesis, prompting the development of dedicated 3DGS accelerators for mobile applications. Through in-depth analysis, we identify two major limitations in the conventional decoupled preprocessing-rendering dataflow adopted by existing accelerators: 1) a significant portion of preprocessed Gaussians are not used in rendering, and 2) the same Gaussian gets repeatedly loaded across different t…

Yesterday was leaving certificate results day, and for the first time in 29 years it had some domestic relevance. Once it was comfortably established that my son's results were going to see him go on to his choice of third level course, I felt oddly off-kilter.
The Leaving Cert results are a moment where all of the kids your child has grown up with, and who you are (to a greater or lessor extent) aware of as their friends suddenly, all at once, jump forward to a new stage in their…

Physics-Informed Neural Networks for High-Precision Grad-Shafranov Equilibrium Reconstruction
Cuizhi Zhou, Kaien Zhu
https://arxiv.org/abs/2507.16636 https…

Physics-Informed Neural Networks for High-Precision Grad-Shafranov Equilibrium Reconstruction
The equilibrium reconstruction of plasma is a core step in real-time diagnostic tasks in fusion research. This paper explores a multi-stage Physics-Informed Neural Networks(PINNs) approach to solve the Grad-Shafranov equation, achieving high-precision solutions with an error magnitude of $O(10^{-8})$ between the output of the second-stage neural network and the analytical solution. Our results demonstrate that the multi-stage PINNs provides a reliable tool for plasma equilibrium reconstruction.

Please stand for the National Anthem:
Australians all, let us rejoice,
For we are young and free.
We've golden soil and wealth for toil
Our home is girt by sea.
Our land abounds in nature's gifts
Of beauty rich and rare.
In history's page, let every stage
Advance Australia Fair.
In joyful strains then let us sing,
Advance Australia Fair.
Thank you. You may resume your seat.

How the heck does this only have 304k views?
Dude does a tight 5 & also proposes to his girl? DAYM.
▶️ German Proposes to Jewish Girlfriend on Stage | Mario Adrion | Standup C...
https://youtube.com/watch?v=DBr-r-ZnRR8&si=RhH6OhhumfTmLQuG

Smartphone-integrated RPA-CRISPR-Cas12a Detection System with Microneedle Sampling for Point-of-Care Diagnosis of Potato Late Blight in Early Stage
Jiangnan Zhao (Key Laboratory of Smart Agriculture Systems, Ministry of Education, China Agricultural University, Beijing, PR China, Key Laboratory of Agricultural Information Acquisition Technology, Ministry of Agriculture and Rural Affairs of China, China Agricultural University, Beijing, PR China), Hanbo Xu (Key Laboratory of Smart Agric…

Smartphone-integrated RPA-CRISPR-Cas12a Detection System with Microneedle Sampling for Point-of-Care Diagnosis of Potato Late Blight in Early Stage
Potato late blight, caused by the oomycete pathogen Phytophthora infestans, is one of the most devastating diseases affecting potato crops in the history. Although conventional detection methods of plant diseases such as PCR and LAMP are highly sensitive and specific, they rely on bulky and expensive laboratory equipment and involve complex operations, making them impracticable for point-of care diagnosis in the field. Here in this study, we report a portable RPA-CRISPR based diagnosis system f…

Terrestrial Planet Formation from Two Source Reservoirs
David Nesvorny, Alessandro Morbidelli, William F. Bottke, Rogerio Deienno, Max Goldberg
https://arxiv.org/abs/2507.14814

Terrestrial Planet Formation from Two Source Reservoirs
This work describes new dynamical simulations of terrestrial planet formation. The simulations started at the protoplanetary disk stage, when planetesimals formed and accreted into protoplanets, and continued past the late stage of giant impacts. We explored the effect of different parameters, such as the initial radial distribution of planetesimals and Type-I migration of protoplanets, on the final results. In each case, a thousand simulations were completed to characterize the stochastic natu…

Two-Stage Ordering and Elastocaloric Effect in TmVO$_4$
Sayan Ghosh, Anirudha Menon, Manoranjan Kumar, Rajiv R. P. Singh
https://arxiv.org/abs/2507.16619 h…

Two-Stage Ordering and Elastocaloric Effect in TmVO$_4$
Rare-earth material TmVO$_4$ shows ferro-quadrupolar order below a critical temperature which can be tuned by various parameters such as a magnetic field, a strain field, chemical composition, and nuclear spin coupling to its non-Kramers electronic doublets. In this work, we study a pseudo-spin-1/2 model to understand the various phases in TmVO$_4$. The model captures coupled electronic and nuclear orders via (i) a ferro-quadrupolar Jahn-Teller interaction, (ii) a $B_{1g}$ shear strain, (iii) a…

There's a lot of shit going on in the world: poverty, famine, wars, late stage capitalism, debugging obfuscated JavaScript code in a browser and the climate crisis.
The global community has to put an end to *all* of these!

The authoritarian dream is rooted in the belief that state violence should serve as the primary tool of governance.
When the guardrails of democracy are dismantled, violence shifts from being a last resort to a governing principle.
This is precisely what unfolded in Los Angeles, where Trump deployed the National Guard and Marines to crush protests against his mass deportation policies,
while mobilizing ICE as a modern-day Gestapo.
What cannot be ignored is that the…

From the Streets of LA to the National Stage: The Left Must Win the Cultural War
Trump’s war on dissent can only be defeated by a left that challenges the values sustaining authoritarianism.

Can all German genocide deniers please get the fuck out of my mentions.
Genocide denial is the last and final stage of genocide and constitutes complicity in genocide.
Matze Schmidt, you are complicit in genocide.
And history is taking notes.
https://masto.ai/@matzeschmidt/1150655

The Multi-Stage Assignment Problem: A Fairness Perspective
Vibulan J, Swapnil Dhamal, Shweta Jain
https://arxiv.org/abs/2508.13856 https://arxiv.org/pdf/25…

The Multi-Stage Assignment Problem: A Fairness Perspective
This paper explores the problem of fair assignment on Multi-Stage graphs. A multi-stage graph consists of nodes partitioned into $K$ disjoint sets (stages) structured as a sequence of weighted bipartite graphs formed across adjacent stages. The goal is to assign node-disjoint paths to $n$ agents starting from the first stage and ending in the last stage. We show that an efficient assignment that minimizes the overall sum of costs of all the agents' paths may be highly unfair and lead to signifi…

Modeling Long-term User Behaviors with Diffusion-driven Multi-interest Network for CTR Prediction
Weijiang Lai, Beihong Jin, Yapeng Zhang, Yiyuan Zheng, Rui Zhao, Jian Dong, Jun Lei, Xingxing Wang
https://arxiv.org/abs/2508.15311

Modeling Long-term User Behaviors with Diffusion-driven Multi-interest Network for CTR Prediction
CTR (Click-Through Rate) prediction, crucial for recommender systems and online advertising, etc., has been confirmed to benefit from modeling long-term user behaviors. Nonetheless, the vast number of behaviors and complexity of noise interference pose challenges to prediction efficiency and effectiveness. Recent solutions have evolved from single-stage models to two-stage models. However, current two-stage models often filter out significant information, resulting in an inability to capture di…

Track star to Panthers RB to Canadian Olympic flag football? Chuba Hubbard keeps dream alive https://www.espn.com/nfl/story/_/id/45498715/nfl-carolina-panthers-chuba-hubbard-olympics-flag-football-track

Inductive Domain Transfer In Misspecified Simulation-Based Inference
Ortal Senouf, Antoine Wehenkel, C\'edric Vincent-Cuaz, Emmanuel Abb\'e, Pascal Frossard
https://arxiv.org/abs/2508.15593

Inductive Domain Transfer In Misspecified Simulation-Based Inference
Simulation-based inference (SBI) is a statistical inference approach for estimating latent parameters of a physical system when the likelihood is intractable but simulations are available. In practice, SBI is often hindered by model misspecification--the mismatch between simulated and real-world observations caused by inherent modeling simplifications. RoPE, a recent SBI approach, addresses this challenge through a two-stage domain transfer process that combines semi-supervised calibration with…

Multi-Object Sketch Animation with Grouping and Motion Trajectory Priors
Guotao Liang, Juncheng Hu, Ximing Xing, Jing Zhang, Qian Yu
https://arxiv.org/abs/2508.15535 https://

Multi-Object Sketch Animation with Grouping and Motion Trajectory Priors
We introduce GroupSketch, a novel method for vector sketch animation that effectively handles multi-object interactions and complex motions. Existing approaches struggle with these scenarios, either being limited to single-object cases or suffering from temporal inconsistency and poor generalization. To address these limitations, our method adopts a two-stage pipeline comprising Motion Initialization and Motion Refinement. In the first stage, the input sketch is interactively divided into seman…

“the party of cucks” and the “lapdogs” of Russian President Vladimir Putin", a development, he argued, that spelled the “end stage of the GOP”
'Tragic': Conservative Rick Wilson pinpoints new Trump move as 'end stage of the GOP' - Raw Story
https://www.rawstory.com/trump-2673905107/

EMNLP: Educator-role Moral and Normative Large Language Models Profiling
Yilin Jiang, Mingzi Zhang, Sheng Jin, Zengyi Yu, Xiangjie Kong, Binghao Tu
https://arxiv.org/abs/2508.15250

EMNLP: Educator-role Moral and Normative Large Language Models Profiling
Simulating Professions (SP) enables Large Language Models (LLMs) to emulate professional roles. However, comprehensive psychological and ethical evaluation in these contexts remains lacking. This paper introduces EMNLP, an Educator-role Moral and Normative LLMs Profiling framework for personality profiling, moral development stage measurement, and ethical risk under soft prompt injection. EMNLP extends existing scales and constructs 88 teacher-specific moral dilemmas, enabling profession-orient…

As usual we watched the "Stoertebekker" stage play at Ralswiek on Rügen Island. The stage setups and wardrobes were as awesome as always. They really try to improve on that every year and come up with clever mechanisms to transform the building for the various acts of the play. The script this year left room for desire ;) Nevertheless a happing worth attending
htt…

BT-TL-DMPs: A Novel Robot TAMP Framework Combining Behavior Tree, Temporal Logic and Dynamical Movement Primitives
Zezhi Liu, Shizhen Wu, Hanqian Luo, Deyun Qin, Yongchun Fang
https://arxiv.org/abs/2507.14582

BT-TL-DMPs: A Novel Robot TAMP Framework Combining Behavior Tree, Temporal Logic and Dynamical Movement Primitives
In the field of Learning from Demonstration (LfD), enabling robots to generalize learned manipulation skills to novel scenarios for long-horizon tasks remains challenging. Specifically, it is still difficult for robots to adapt the learned skills to new environments with different task and motion requirements, especially in long-horizon, multi-stage scenarios with intricate constraints. This paper proposes a novel hierarchical framework, called BT-TL-DMPs, that integrates Behavior Tree (BT), Te…

Ten Essential Guidelines for Building High-Quality Research Software
Nasir U. Eisty, David E. Bernholdt, Alex Koufos, David J. Luet, Miranda Mundt
https://arxiv.org/abs/2507.16166

Ten Essential Guidelines for Building High-Quality Research Software
High-quality research software is a cornerstone of modern scientific progress, enabling researchers to analyze complex data, simulate phenomena, and share reproducible results. However, creating such software requires adherence to best practices that ensure robustness, usability, and sustainability. This paper presents ten guidelines for producing high-quality research software, covering every stage of the development lifecycle. These guidelines emphasize the importance of planning, writing cle…

#MinorThreat Bassist Gives Update Amid Stage 4 #Kidney Transplant Battle
https://www.ya…

Legendary Punk Bassist Gives Update Amid Stage 4 Kidney Disease Battle
After falling out of step, you can help him back on his feet.

Just off to @… for the evening to learn lace making
I once was involved in a performance collab with a lace maker, although she was too busy so couldn't join us and sent a video. We jammed over her explaining the numerical patterns. I remember the performers on stage were all men so it looked a bit dodgy in terms of gender p…

Red Supergiants -- The Other Side of the H-R Diagram
Roberta M. Humphreys
https://arxiv.org/abs/2507.15965 https://arxiv.org/pdf/2507…

Red Supergiants -- The Other Side of the H-R Diagram
Red supergiants are the largest stars known with some of the highest mass loss rates observed. They are the final stage in the evolution of the majority of massive stars. The unexpected discovery of high mass loss episodes in many red supergiants have posed questions about the role of mass loss on their final stages. The papers in this volume are timely reviews of our current understanding of this often surprising population of massive stars. This introductory paper is a brief summary of their …

Temperature calibration of surface emissivities with an improved thermal image enhancement network
Ning Chu, Siya Zheng, Shanqing Zhang, Li Li, Caifang Cai, Ali Mohammad-Djafari, Feng Zhao, Yuanbo Song
https://arxiv.org/abs/2506.16803

Temperature calibration of surface emissivities with an improved thermal image enhancement network
Infrared thermography faces persistent challenges in temperature accuracy due to material emissivity variations, where existing methods often neglect the joint optimization of radiometric calibration and image degradation. This study introduces a physically guided neural framework that unifies temperature correction and image enhancement through a symmetric skip-CNN architecture and an emissivity-aware attention module. The pre-processing stage segments the ROIs of the image and and initially c…

The Carrollian Kaleidoscope
Arjun Bagchi, Aritra Banerjee, Prateksh Dhivakar, Saikat Mondal, Ashish Shukla
https://arxiv.org/abs/2506.16164 https://…

The Carrollian Kaleidoscope
The Carroll group arises in the vanishing speed of light limit of the Poincaré group and was initially discarded as just a mathematical curiosity. However, recent developments have proved otherwise. Carroll and conformal Carroll symmetries are now ubiquitous, appearing in diverse physical phenomena starting from condensed matter physics to quantum gravity. This review aims to provide the reader a gateway into this fast-developing field. After an introduction and setting the stage with basics o…

I was incredibly excited about seeing Wu-Tang's last-ever show at the Garden tonight (with Run the Jewels opening, no less!), so I thought it was a perfect time to tell the story of when I got to see the last time all 9 members performed together on one stage — complete with footage of an on-the-run Old Dirty Bastard bursting onto the stage to everyone’s surprise: …

Exit the Wu
A blog about making culture. Since 1999.

We watched WEIRD: The Al Yankovic Story in preparation for... well, you can guess why

Resource-Splitting Games with Tullock-Based Lossy Contests
Marko Maljkovic, Gustav Nilsson, Nikolas Geroliminis
https://arxiv.org/abs/2507.13853 https://…

Resource-Splitting Games with Tullock-Based Lossy Contests
This paper introduces a novel class of multi-stage resource allocation games that model real-world scenarios in which profitability depends on the balance between supply and demand, and where higher resource investment leads to greater returns. Our proposed framework, which incorporates the notion of profit loss due to insufficient player participation, gives rise to a Tullock-like functional form of the stage payoff structure when weighted fair proportional resource allocation is applied. We e…

Concealed Identities, Stage Personas, and Masked Singers in Heavy Metal (Edited Collection)
https://ift.tt/bmD5plj
updated: Thursday, July 17, 2025 - 10:54amfull name / name of organization: Studies in Heavy Metal…
via Input 4 RELCFP

Radio Observations of a Candidate Redback Millisecond Pulsar: 1FGL J0523.5-2529
O. A. Johnson, E. F. Keane, D. J. McKenna, H. Qiu, S. J. Swihart, J. Strader, M. McLaughlin
https://arxiv.org/abs/2508.15435

Radio Observations of a Candidate Redback Millisecond Pulsar: 1FGL J0523.5-2529
Redback pulsars are a subclass of millisecond pulsar system with a low-mass non-degenerate companion star being ablated by the pulsar. They are of interest due to the insights they can provide for late-stage pulsar evolution during the recycling process. J0523.5-2529 is one such candidate where redback-like emission has been seen at multiple wavelengths except radio. It is a system with a binary orbit of 16.5 hours and a low-mass non-degenerate companion of approximately 0.8 solar masses. The a…

An AI super-resolution field emulator for cosmological hydrodynamics: the Lyman-{\alpha} forest
Fatemeh Hafezianzadeh, Xiaowen Zhang, Yueying Ni, Rupert A. C. Croft, Tiziana DiMatteo, Mahdi Qezlou, Simeon Bird
https://arxiv.org/abs/2507.16189

An AI super-resolution field emulator for cosmological hydrodynamics: the Lyman-α forest
We extend our super-resolution and emulation framework for cosmological dark matter simulations to include hydrodynamics. We present a two-stage deep learning model to emulate high-resolution (HR-HydroSim) baryonic fields from low-resolution (LR-HydroSim) simulations at redshift $z = 3$. The method takes as inputs an LR-HydroSim and the high-resolution initial conditions (HR-HydroICs). First, the model stochastically generates high-resolution baryonic fields from the LR-HydroSim. Second, a dete…

From Near-Integrable to Far-from-Integrable: A Unified Picture of Thermalization and Heat Transport
Weicheng Fu, Zhen Wang, Yisen Wang, Yong Zhang, Hong Zhao
https://arxiv.org/abs/2508.15566

From Near-Integrable to Far-from-Integrable: A Unified Picture of Thermalization and Heat Transport
Whether and how a system approaches equilibrium is central in nonequilibrium statistical physics, crucial to understanding thermalization and transport. Bogoliubov's three-stage (initial, kinetic, and hydrodynamic) evolution hypothesis offers a qualitative framework, but quantitative progress has focused on near-integrable systems like dilute gases. In this work, we investigate the relaxation dynamics of a one-dimensional diatomic hard-point (DHP) gas, presenting a phase diagram that characteri…

How Progressive Government Set the Stage for the L.A. Riots (Allysia Finley/Wall Street Journal)
https://www.wsj.com/opinion/how-progressive-government-set-the-stage-for-the-l-a-riots-california-governance-cfe175d5?st=wUDZ8D
http://www.memeorandum.com/250616/p24#a250616p24

Replaced article(s) found for math.NA. https://arxiv.org/list/math.NA/new
[1/1]:
- Chebyshev symplectic methods based on continuous-stage Runge-Kutta methods
Wensheng Tang

Low D/H ratio for benzonitrile in TMC-1: Implication for the origin of polycyclic aromatic hydrocarbons in cold dark clouds
A. L. Steber, J. Janeiro, C. Cabezas, M. Agundez, M. Pereira-Santaella, C. Perez, D. Perez, D. Heras, A. Lesarri, I. Garcia-Bernete, J. R. Goicoechea, J. Cernicharo
https://arxiv.org/abs/2507.16552

Low D/H ratio for benzonitrile in TMC-1: Implication for the origin of polycyclic aromatic hydrocarbons in cold dark clouds
Radioastronomical observations have recently discovered PAHs of moderate size (up to 24 carbon atoms) in cold dark clouds, although it is currently unknown whether they are formed in situ through a bottom-up mechanism or from larger PAHs (20-100 carbon atoms) inherited from a previous diffuse stage in a top-down scenario. Infrared observations have recently shown that large PAHs present in UV-illuminated regions are strongly enriched in deuterium. In order to shed light on the origin of PAHs in…

Nonlinear Distortion Equalization in Multi-Span Optical Links Via a Feed-Forward Photonic Neural Network
Emiliano Staffoli, Elisabetta Ferri, Stefano Gretter, Lorenzo Pavesi
https://arxiv.org/abs/2507.13775

Nonlinear Distortion Equalization in Multi-Span Optical Links Via a Feed-Forward Photonic Neural Network
Linear and nonlinear distortions in optical communication signals are equalized using an integrated feed-forward Photonic Neural Network (PNN). The PNN is based on a linear stage made of an 8-tap Finite Impulse Response (FIR) filter, featuring tunable amplitude and phase weights at each tap, and of a nonlinear stage achieved through the square modulus operation at the end-of-line photodetector. Within an Intensity Modulation/Direct Detection (IMDD) system, the PNN is applied to 2-level Pulse Am…

Modeling and Design of Integrated Iontronic Circuits Based on Ionic Bipolar Junction Transistors
Soichiro Tottori, Rohit Karnik
https://arxiv.org/abs/2507.15440

Modeling and Design of Integrated Iontronic Circuits Based on Ionic Bipolar Junction Transistors
Biological systems rely on ions and molecules as information carriers rather than electrons, motivating the development of devices that interface with biochemical systems for sensing, information processing, and actuation via spatiotemporal control of ions and molecules. Iontronics aims to achieve this vision by constructing devices composed of ion-conducting materials such as polyelectrolyte hydrogels, but advancing beyond simple single-stage circuit configurations that operate under steady-st…

Towards Geometric and Textural Consistency 3D Scene Generation via Single Image-guided Model Generation and Layout Optimization
Xiang Tang, Ruotong Li, Xiaopeng Fan
https://arxiv.org/abs/2507.14841

Towards Geometric and Textural Consistency 3D Scene Generation via Single Image-guided Model Generation and Layout Optimization
In recent years, 3D generation has made great strides in both academia and industry. However, generating 3D scenes from a single RGB image remains a significant challenge, as current approaches often struggle to ensure both object generation quality and scene coherence in multi-object scenarios. To overcome these limitations, we propose a novel three-stage framework for 3D scene generation with explicit geometric representations and high-quality textural details via single image-guided model ge…

The stage is set for the #Ward6 Cromarty Firth & #Ward10 Eilean a' Cheò [Skye] #byelections. The electronic count in Kyleachin Community Hall starts at 11am and you can follow it live on the Council&…

I doubted the original, but in this video, you can see the stage in the side-by-side. Those things on the side of the stage are screens, and yes Coinbase really is a sponsor of this event, and they did break away to say “sponsored by Coinbase,” and that probably showed on the screens, so….
UGH
https://techhub.social/@hosford42/114684872135372934

Please use bigger fonts and good contrast
https://universeodon.com/@sigue/114882877898255904

Towards AI Search Paradigm
Yuchen Li, Hengyi Cai, Rui Kong, Xinran Chen, Jiamin Chen, Jun Yang, Haojie Zhang, Jiayi Li, Jiayi Wu, Yiqun Chen, Changle Qu, Keyi Kong, Wenwen Ye, Lixin Su, Xinyu Ma, Long Xia, Daiting Shi, Jiashu Zhao, Haoyi Xiong, Shuaiqiang Wang, Dawei Yin
https://arxiv.org/abs/2506.17188

Towards AI Search Paradigm
In this paper, we introduce the AI Search Paradigm, a comprehensive blueprint for next-generation search systems capable of emulating human information processing and decision-making. The paradigm employs a modular architecture of four LLM-powered agents (Master, Planner, Executor and Writer) that dynamically adapt to the full spectrum of information needs, from simple factual queries to complex multi-stage reasoning tasks. These agents collaborate dynamically through coordinated workflows to e…

Prince could "own" the stage, put energy in the music, you rarely find in modern day performances. And "America" is not even one of his greatest tracks, in this very hot and sweaty tent in France he jammed like only he could.
Also watch how he controls his extremely tight band, The Revolution.
https://

Jerry Jones cancer battle, explained: What to know about Cowboys owner's history with Stage 4 melanoma https://www.sportingnews.com/us/nfl/dallas-cowboys/news/jerry-jones-cancer-diagnosis-cowboys-owner…

Application of resource theory based on free Clifford kT computation to early fault-tolerant quantum computing
Yuya O. Nakagawa, Yasunori Lee
https://arxiv.org/abs/2508.14546 ht…

Application of resource theory based on free Clifford+kT computation to early fault-tolerant quantum computing
Recent advances in quantum hardware are bringing fault-tolerant quantum computing (FTQC) closer to reality. In the early stage of FTQC, however, the numbers of available logical qubits and high-fidelity $T$ gates remain limited, making it crucial to optimize the quantum resource usage. In this work, we aim to study the simulation cost of general quantum states under the constraint that only $k$ $T$ gates can be used, alongside an unlimited number of Clifford gates. Inspired by the notion of rob…

You can wave an Israeli flag but not a Hezbollah one.
You can express support for the genocidal IDF but not the problematic but non-genocidal Hezbollah.
It's not even a double standard.
https://nation.cymru/news/kneecap-rapper-…

Kneecap rapper to appear in court for alleged support of terrorist group
A member of rap group Kneecap is due to appear in court for allegedly supporting a proscribed terror organisation. Liam Og O hAnnaidh, who performs under the stage name Mo Chara, is accused of displaying a flag in support of Hezbollah at a gig in November last year. Demonstrations in support of the rapper have […]

The Preheating Stage on The Starobinsky Inflation after ACT
Norma Sidik Risdianto, Romy Hanang Setya Budhi, Nehla Shobcha, Apriadi Salim Adam
https://arxiv.org/abs/2507.12868

The Preheating Stage on The Starobinsky Inflation after ACT
In this paper, we reinvestigate the Starobinsky inflation and its reheating features after the ACT results. To make the Starobinsky model satisfy ACT with $68\%$ CL, the number of e-folds increases to $>70$ while the reheating temperature drops to $10^4$ GeV. The preheating stages and the reheating temperature need to be adjusted drastically in favor of the lower temperature. We obtain that the preheating stage of Starobinsky inflation should be mixed between tachyonic and non-tachyonic preheat…

A Neural Column-and-Constraint Generation Method for Solving Two-Stage Stochastic Unit Commitment
Zhentong Shao, Jingtao Qin, Nanpeng Yu
https://arxiv.org/abs/2508.11071 https:/…

A Neural Column-and-Constraint Generation Method for Solving Two-Stage Stochastic Unit Commitment
Two-stage stochastic unit commitment (2S-SUC) problems have been widely adopted to manage the uncertainties introduced by high penetrations of intermittent renewable energy resources. While decomposition-based algorithms such as column-and-constraint generation has been proposed to solve these problems, they remain computationally prohibitive for large-scale, real-time applications. In this paper, we introduce a Neural Column-and-Constraint Generation (Neural CCG) method to significantly accele…

Stage Manager für mehr iPad-Modelle
Lange funktionierte Apples eingeschränkter Stage Manager nur auf bestimmten Tablets. Das ändert sich nun – auch der neue Fenster-Modus wird breit verteilt.
https://www.

Family (well 3/4 of us) traveled to Staunton for the day for lunch, some wandering, and chiefly to see an adaptation of Jane Austen’s “Sense and Sensibility” at the intimate Blackfriars Playhouse in Staunton, VA.
Fantastic performance. It’s a great story anyway, but this take on it added some humor. Never overdone, which is a difficult thing to do. Deserved standing ovation at the end. 👏

One Step Beyond: Feedthrough & Placement-Aware Rectilinear Floorplanner
Zhexuan Xu, Jie Wang, Siyuan Xu, Zijie Geng, Mingxuan Yuan, Feng Wu
https://arxiv.org/abs/2507.14914

One Step Beyond: Feedthrough & Placement-Aware Rectilinear Floorplanner
Floorplanning determines the shapes and locations of modules on a chip canvas and plays a critical role in optimizing the chip's Power, Performance, and Area (PPA) metrics. However, existing floorplanning approaches often fail to integrate with subsequent physical design stages, leading to suboptimal in-module component placement and excessive inter-module feedthrough. To tackle this challenge, we propose Flora, a three-stage feedthrough and placement aware rectilinear floorplanner. In the firs…

bring back throwing rotten tomatoes at awful people on stage https://bsky.app/profile/did:plc:4llrhdclvdlmmynkwsmg5tdc/post/3lwphyrxwwk2d

Double Machine Learning for Conditional Moment Restrictions: IV regression, Proximal Causal Learning and Beyond
Daqian Shao, Ashkan Soleymani, Francesco Quinzan, Marta Kwiatkowska
https://arxiv.org/abs/2506.14950

Double Machine Learning for Conditional Moment Restrictions: IV regression, Proximal Causal Learning and Beyond
Solving conditional moment restrictions (CMRs) is a key problem considered in statistics, causal inference, and econometrics, where the aim is to solve for a function of interest that satisfies some conditional moment equalities. Specifically, many techniques for causal inference, such as instrumental variable (IV) regression and proximal causal learning (PCL), are CMR problems. Most CMR estimators use a two-stage approach, where the first-stage estimation is directly plugged into the second st…

Out at The Gorge with my sweetie tonight

At the "wait five days for your domain name to transfer" stage of things. Which is coupled with "your domain name will stop working the moment it finally transfers because you screwed up the order of operations". No big deal in this case but I can't help but think all of this could work better.
(I'm trying out Porkbun on a test domain, to compare with Namecheap.)

Efficient Online Mirror Descent Stochastic Approximation for Multi-Stage Stochastic Programming
Junhui Zhang, Patrick Jaillet
https://arxiv.org/abs/2506.15392

Efficient Online Mirror Descent Stochastic Approximation for Multi-Stage Stochastic Programming
We study the unconstrained and the minimax saddle point variants of the convex multi-stage stochastic programming problem, where consecutive decisions are coupled through the objective functions, rather than through the constraints. Based on the analysis of deterministic mirror descent algorithms with inexact gradients, we introduce the idea of \textit{stochastic conditional gradient oracles}, a multi-stage analog of the stochastic gradient oracles used in (classical) stochastic programming. We…

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction
Zhiwei Ning, Zhaojiang Liu, Xuanang Gao, Yifan Zuo, Jie Yang, Yuming Fang, Wei Liu
https://arxiv.org/abs/2508.12917

CMF-IoU: Multi-Stage Cross-Modal Fusion 3D Object Detection with IoU Joint Prediction
Multi-modal methods based on camera and LiDAR sensors have garnered significant attention in the field of 3D detection. However, many prevalent works focus on single or partial stage fusion, leading to insufficient feature extraction and suboptimal performance. In this paper, we introduce a multi-stage cross-modal fusion 3D detection framework, termed CMF-IOU, to effectively address the challenge of aligning 3D spatial and 2D semantic information. Specifically, we first project the pixel inform…

Human Feedback Driven Dynamic Speech Emotion Recognition
Ilya Fedorov, Dmitry Korobchenko
https://arxiv.org/abs/2508.14920 https://arxiv.org/pdf/2508.14920…

Human Feedback Driven Dynamic Speech Emotion Recognition
This work proposes to explore a new area of dynamic speech emotion recognition. Unlike traditional methods, we assume that each audio track is associated with a sequence of emotions active at different moments in time. The study particularly focuses on the animation of emotional 3D avatars. We propose a multi-stage method that includes the training of a classical speech emotion recognition model, synthetic generation of emotional sequences, and further model improvement based on human feedback.…

Influencia de fatores organizacionais e sociais na etapa de levantamento de requisitos
Glauber da Rocha Balthazar, Marcia Ito
https://arxiv.org/abs/2508.13134 https://

Influencia de fatores organizacionais e sociais na etapa de levantamento de requisitos
The most critical and fragile stage of a software development project is requirements gathering. Because of this, Requirements Engineering has been evolving its techniques to minimize the challenges faced by Requirements Analysts. However, few studies consider the humanistic relationships and behaviors of those involved in this stage. This article presents a survey of some studies conducted at this stage that consider non-technical factors such as emotions, organizational environment, and socia…

Early Emission from Double Detonation Type Ia Supernovae
Anthony L. Piro, Ehud Nakar
https://arxiv.org/abs/2507.14290 https://arxiv.o…

Early Emission from Double Detonation Type Ia Supernovae
A popular model for Type Ia supernovae (SNe Ia) is the detonation of a CO white dwarf (WD) that is triggered by the prior detonation of a thin surface layer of helium, known as a double detonation (DD). We explore the unique early electromagnetic signatures that are expected from collision of the CO detonation with the He detonation. The three features are (1) a shock breakout flash, (2) a stage of planar shock breakout cooling, and finally (3) shock cooling emission from the thermal energy rel…

Hierarchical Maximum Likelihood Estimation for Time-Resolved NMR Data
Lennart H. Bosch, Pernille R. Jensen, Nico Striegler, Thomas Unden, Jochen Scharpf, Usman Qureshi, Philipp Neumann, Martin Gierse, John W. Blanchard, Stephan Knecht, Jochen Scheuer, Ilai Schwart, Martin B. Plenio
https://arxiv.org/abs/2508.14902

Hierarchical Maximum Likelihood Estimation for Time-Resolved NMR Data
Metabolic monitoring and reaction rate estimation using hyperpolarized NMR technology requires accurate quantitative analysis of multidimensional data scenarios. Currently, this analysis is often performed in a two-stage procedure, which is prone to errors in uncertainty propagation and estimation. We propose an approach derived from a Bayesian hierarchical model that intrinsically propagates uncertainties and operates on the full data to maximize the precision at minimal uncertainty. In an ana…

WangchanThaiInstruct: An instruction-following Dataset for Culture-Aware, Multitask, and Multi-domain Evaluation in Thai
Peerat Limkonchotiwat, Pume Tuchinda, Lalita Lowphansirikul, Surapon Nonesung, Panuthep Tasawong, Alham Fikri Aji, Can Udomcharoenchaikit, Sarana Nutanong
https://arxiv.org/abs/2508.15239…

WangchanThaiInstruct: An instruction-following Dataset for Culture-Aware, Multitask, and Multi-domain Evaluation in Thai
Large language models excel at instruction-following in English, but their performance in low-resource languages like Thai remains underexplored. Existing benchmarks often rely on translations, missing cultural and domain-specific nuances needed for real-world use. We present WangchanThaiInstruct, a human-authored Thai dataset for evaluation and instruction tuning, covering four professional domains and seven task types. Created through a multi-stage quality control process with annotators, dom…

Leo Varadkar, who stood down as taoiseach in April 2024,
said he did not think a date should be fixed for an Irish unity referendum
as nationalists did not yet have the numbers to win.
But he said planning for a united Ireland should take place.
"I don't think a united Ireland is inevitable, I think it's something that we have to work towards," he said.
"But I think there are a lot of factors that would suggest that we're on that traje…

Leo Varadkar says Nigel Farage as PM would move Irish unity 'centre stage'
The former Irish prime minister says planning should take place for the possibility of Irish unification.

South Korea's Upstage, which offers AI document intelligence tools, raised a $45M Series B bridge led by the KDB, Amazon, and AMD, after a $72M Series B in 2024 (Mike Wheatley/SiliconANGLE)
https://siliconangle.com/2025/08/20/upstage-…

Neural Preconditioning via Krylov Subspace Geometry
Nunzio Dimola, Alessandro Coclite, Paolo Zunino
https://arxiv.org/abs/2507.15452 https://

Neural Preconditioning via Krylov Subspace Geometry
We propose a geometry-aware strategy for training neural preconditioners tailored to parametrized linear systems arising from the discretization of mixed-dimensional partial differential equations (PDEs). These systems are typically ill-conditioned because of the presence of embedded lower-dimensional structures and are solved using Krylov subspace methods. Our approach yields an approximation of the inverse operator employing a learning algorithm consisting of a two-stage training framework: a…

Cowboys' Jones: Experimental drug saved my life https://www.espn.com/nfl/story/_/id/45966147/cowboys-jerry-jones-says-no-tumors-stage-4-melanoma

Identifying Ring Galaxies in DESI Legacy Imaging Surveys Using Machine Learning Methods
Aina Zhang, Xiaoming Kong, Bowen Liu, Nan Li, Yude Bu, Zhenping Yi, Meng Liu
https://arxiv.org/abs/2506.16090

Identifying Ring Galaxies in DESI Legacy Imaging Surveys Using Machine Learning Methods
The formation and evolution of ring structures in galaxies are crucial for understanding the nature and distribution of dark matter, galactic interactions, and the internal secular evolution of galaxies. However, the limited number of existing ring galaxy catalogs has constrained deeper exploration in this field. To address this gap, we introduce a two-stage binary classification model based on the Swin Transformer architecture to identify ring galaxies from the DESI Legacy Imaging Surveys. Thi…

RecBayes: Recurrent Bayesian Ad Hoc Teamwork in Large Partially Observable Domains
Jo\~ao G. Ribeiro, Yaniv Oren, Alberto Sardinha, Matthijs Spaan, Francisco S. Melo
https://arxiv.org/abs/2506.15756

RecBayes: Recurrent Bayesian Ad Hoc Teamwork in Large Partially Observable Domains
This paper proposes RecBayes, a novel approach for ad hoc teamwork under partial observability, a setting where agents are deployed on-the-fly to environments where pre-existing teams operate, that never requires, at any stage, access to the states of the environment or the actions of its teammates. We show that by relying on a recurrent Bayesian classifier trained using past experiences, an ad hoc agent is effectively able to identify known teams and tasks being performed from observations alo…

Optimizing Legal Document Retrieval in Vietnamese with Semi-Hard Negative Mining
Van-Hoang Le, Duc-Vu Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen
https://arxiv.org/abs/2507.14619

Optimizing Legal Document Retrieval in Vietnamese with Semi-Hard Negative Mining
Large Language Models (LLMs) face significant challenges in specialized domains like law, where precision and domain-specific knowledge are critical. This paper presents a streamlined two-stage framework consisting of Retrieval and Re-ranking to enhance legal document retrieval efficiency and accuracy. Our approach employs a fine-tuned Bi-Encoder for rapid candidate retrieval, followed by a Cross-Encoder for precise re-ranking, both optimized through strategic negative example mining. Key innov…

ViTAD: Timing Violation-Aware Debugging of RTL Code using Large Language Models
Wenhao Lv, Yingjie Xia, Xiyuan Chen, Li Kuang
https://arxiv.org/abs/2508.13257 https://

ViTAD: Timing Violation-Aware Debugging of RTL Code using Large Language Models
In modern Very Large Scale Integrated (VLSI) circuit design flow, the Register-Transfer Level (RTL) stage presents a critical opportunity for timing optimization. Addressing timing violations at this early stage is essential, as modern systems demand higher speeds, where even minor timing violations can lead to functional failures or system crashes. However, traditional timing optimization heavily relies on manual expertise, requiring engineers to iteratively analyze timing reports and debug. T…

Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning
Ankan Deria, Adinath Madhavrao Dukre, Feilong Tang, Sara Atito, Sudipta Roy, Muhammad Awais, Muhammad Haris Khan, Imran Razzak
https://arxiv.org/abs/2506.15649

Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning
Despite significant advances in inference-time search for vision-language models (VLMs), existing approaches remain both computationally expensive and prone to unpenalized, low-confidence generations which often lead to persistent hallucinations. We introduce \textbf{Value-guided Inference with Margin-based Reward (ViMaR)}, a two-stage inference framework that improves both efficiency and output fidelity by combining a temporal-difference value model with a margin-aware reward adjustment. In th…

Foreign troop deployment to Ukraine not discussed during Washington talks, NATO chief says: https://benborges.xyz/2025/08/19/foreign-troop-deployment-to-ukraine.html

Capitalism is the larval stage of fascism.

Data augmentation enables label-specific generation of homologous protein sequences
Lorenzo Rosset, Martin Weigt, Francesco Zamponi
https://arxiv.org/abs/2507.15651

Data augmentation enables label-specific generation of homologous protein sequences
Accurately annotating and controlling protein function from sequence data remains a major challenge, particularly within homologous families where annotated sequences are scarce and structural variation is minimal. We present a two-stage approach for semi-supervised functional annotation and conditional sequence generation in protein families using representation learning. First, we demonstrate that protein language models, pretrained on large and diverse sequence datasets and possibly finetune…

MISS: Multi-Modal Tree Indexing and Searching with Lifelong Sequential Behavior for Retrieval Recommendation
Chengcheng Guo, Junda She, Kuo Cai, Shiyao Wang, Qigen Hu, Qiang Luo, Kun Gai, Guorui Zhou
https://arxiv.org/abs/2508.14515

MISS: Multi-Modal Tree Indexing and Searching with Lifelong Sequential Behavior for Retrieval Recommendation
Large-scale industrial recommendation systems typically employ a two-stage paradigm of retrieval and ranking to handle huge amounts of information. Recent research focuses on improving the performance of retrieval model. A promising way is to introduce extensive information about users and items. On one hand, lifelong sequential behavior is valuable. Existing lifelong behavior modeling methods in ranking stage focus on the interaction of lifelong behavior and candidate items from retrieval stag…

Cowboys' Jerry Jones reveals he survived stage 4 cancer battle over 10 years: 'I now have no tumors'

https://www.cbssports.com/nfl/news/cowboys

Representing Speech Through Autoregressive Prediction of Cochlear Tokens
Greta Tuckute, Klemen Kotar, Evelina Fedorenko, Daniel L. K. Yamins
https://arxiv.org/abs/2508.11598 htt…

Representing Speech Through Autoregressive Prediction of Cochlear Tokens
We introduce AuriStream, a biologically inspired model for encoding speech via a two-stage framework inspired by the human auditory processing hierarchy. The first stage transforms raw audio into a time-frequency representation based on the human cochlea, from which we extract discrete \textbf{cochlear tokens}. The second stage applies an autoregressive sequence model over the cochlear tokens. AuriStream learns meaningful phoneme and word representations, and state-of-the-art lexical semantics.…

Reading Between the Lines: A Study of Thematic Bias in Book Recommender Systems
Nityaa Kalra, Savvina Daniil
https://arxiv.org/abs/2508.15643 https://arxiv…

Reading Between the Lines: A Study of Thematic Bias in Book Recommender Systems
Recommender systems help users discover new content, but can also reinforce existing biases, leading to unfair exposure and reduced diversity. This paper introduces and investigates thematic bias in book recommendations, defined as a disproportionate favouring or neglect of certain book themes. We adopt a multi-stage bias evaluation framework using the Book-Crossing dataset to evaluate thematic bias in recommendations and its impact on different user groups. Our findings show that thematic bi…

Whole-Body Bilateral Teleoperation with Multi-Stage Object Parameter Estimation for Wheeled Humanoid Locomanipulation
Donghoon Baek, Amartya Purushottam, Jason J. Choi, Joao Ramos
https://arxiv.org/abs/2508.09846

Whole-Body Bilateral Teleoperation with Multi-Stage Object Parameter Estimation for Wheeled Humanoid Locomanipulation
This paper presents an object-aware whole-body bilateral teleoperation framework for wheeled humanoid loco-manipulation. This framework combines whole-body bilateral teleoperation with an online multi-stage object inertial parameter estimation module, which is the core technical contribution of this work. The multi-stage process sequentially integrates a vision-based object size estimator, an initial parameter guess generated by a large vision-language model (VLM), and a decoupled hierarchical …

ATLAS: A Self-Supervised and Cross-Stage Netlist Power Model for Fine-Grained Time-Based Layout Power Analysis
Wenkai Li, Yao Lu, Wenji Fang, Jing Wang, Qijun Zhang, Zhiyao Xie
https://arxiv.org/abs/2508.12433

ATLAS: A Self-Supervised and Cross-Stage Netlist Power Model for Fine-Grained Time-Based Layout Power Analysis
Accurate power prediction in VLSI design is crucial for effective power optimization, especially as designs get transformed from gate-level netlist to layout stages. However, traditional accurate power simulation requires time-consuming back-end processing and simulation steps, which significantly impede design optimization. To address this, we propose ATLAS, which can predict the ultimate time-based layout power for any new design in the gate-level netlist. To the best of our knowledge, ATLAS …

YOLOv11-RGBT: Towards a Comprehensive Single-Stage Multispectral Object Detection Framework
Dahang Wan, Rongsheng Lu, Yang Fang, Xianli Lang, Shuangbao Shu, Jingjing Chen, Siyuan Shen, Ting Xu, Zecong Ye
https://arxiv.org/abs/2506.14696

YOLOv11-RGBT: Towards a Comprehensive Single-Stage Multispectral Object Detection Framework
Multispectral object detection, which integrates information from multiple bands, can enhance detection accuracy and environmental adaptability, holding great application potential across various fields. Although existing methods have made progress in cross-modal interaction, low-light conditions, and model lightweight, there are still challenges like the lack of a unified single-stage framework, difficulty in balancing performance and fusion strategy, and unreasonable modality weight allocatio…

Eyes on the Image: Gaze Supervised Multimodal Learning for Chest X-ray Diagnosis and Report Generation
Tanjim Islam Riju, Shuchismita Anwar, Saman Sarker Joy, Farig Sadeque, Swakkhar Shatabda
https://arxiv.org/abs/2508.13068

Eyes on the Image: Gaze Supervised Multimodal Learning for Chest X-ray Diagnosis and Report Generation
We propose a two-stage multimodal framework that enhances disease classification and region-aware radiology report generation from chest X-rays, leveraging the MIMIC-Eye dataset. In the first stage, we introduce a gaze-guided contrastive learning architecture for disease classification. It integrates visual features, clinical labels, bounding boxes, and radiologist eye-tracking signals and is equipped with a novel multi-term gaze-attention loss combining MSE, KL divergence, correlation, and cen…

Hierarchical Multi-Stage Transformer Architecture for Context-Aware Temporal Action Localization
Hayat Ullah, Arslan Munir, Oliver Nina
https://arxiv.org/abs/2507.06411

Hierarchical Multi-Stage Transformer Architecture for Context-Aware Temporal Action Localization
Inspired by the recent success of transformers and multi-stage architectures in video recognition and object detection domains. We thoroughly explore the rich spatio-temporal properties of transformers within a multi-stage architecture paradigm for the temporal action localization (TAL) task. This exploration led to the development of a hierarchical multi-stage transformer architecture called PCL-Former, where each subtask is handled by a dedicated transformer module with a specialized loss fun…

InceptionMamba: Efficient Multi-Stage Feature Enhancement with Selective State Space Model for Microscopic Medical Image Segmentation
Daniya Najiha Abdul Kareem, Abdul Hannan, Mubashir Noman, Jean Lahoud, Mustansar Fiaz, Hisham Cholakkal
https://arxiv.org/abs/2506.12208

InceptionMamba: Efficient Multi-Stage Feature Enhancement with Selective State Space Model for Microscopic Medical Image Segmentation
Accurate microscopic medical image segmentation plays a crucial role in diagnosing various cancerous cells and identifying tumors. Driven by advancements in deep learning, convolutional neural networks (CNNs) and transformer-based models have been extensively studied to enhance receptive fields and improve medical image segmentation task. However, they often struggle to capture complex cellular and tissue structures in challenging scenarios such as background clutter and object overlap. Moreove…