Tootfinder

The US Environmental Protection Agency's retreat from science endangers the health of people and the planet https://phys.org/news/2025-07-environmental-agency-retreat-science-endangers.html

The US Environmental Protection Agency's retreat from science endangers the health of people and the planet
Pollution causes more illness and early death than any other environmental threat, accounting for one in six deaths worldwide. For decades, the US Environmental Protection Agency's (EPA) Office of Research and Development (ORD) has driven many of the biggest advances for safeguarding human health and ecosystems from chemicals. Now, this scientific research office is being closed down by the US government

Macroeconomic Foundation of Monetary Accounting by Diagrams of Categorical Universals
Ren\'ee Men\'endez, Viktor Winschel
https://arxiv.org/abs/2508.14132 https://

Macroeconomic Foundation of Monetary Accounting by Diagrams of Categorical Universals
We present a category theoretical formulation of the Monetary Macroeconomic Accounting Theory (MoMaT) of Menéndez and Winschel [2025]. We take macroeconomic (national) accounting systems to be composed from microeconomic double-entry systems with real and monetary units of accounts. Category theory is the compositional grammar and module system of mathematics which we use to lift micro accounting consistency to the macro level. The main function of money in MoMaT is for the repayment of loans …

Tensorized Multi-Task Learning for Personalized Modeling of Heterogeneous Individuals with High-Dimensional Data
Elif Konyar, Mostafa Reisi Gahrooei, Kamran Paynabar
https://arxiv.org/abs/2508.15676

Tensorized Multi-Task Learning for Personalized Modeling of Heterogeneous Individuals with High-Dimensional Data
Effective modeling of heterogeneous subpopulations presents a significant challenge due to variations in individual characteristics and behaviors. This paper proposes a novel approach to address this issue through multi-task learning (MTL) and low-rank tensor decomposition techniques. Our MTL approach aims to enhance personalized modeling by leveraging shared structures among similar tasks while accounting for distinct subpopulation-specific variations. We introduce a framework where low-rank d…

CHIMERA: Compressed Hybrid Intelligence for Twin-Model Enhanced Multi-Agent Deep Reinforcement Learning for Multi-Functional RIS-Assisted Space-Air-Ground Integrated Networks
Li-Hsiang Shen, Jyun-Jhe Huang
https://arxiv.org/abs/2507.16204

CHIMERA: Compressed Hybrid Intelligence for Twin-Model Enhanced Multi-Agent Deep Reinforcement Learning for Multi-Functional RIS-Assisted Space-Air-Ground Integrated Networks
A space-air-ground integrated network (SAGIN) architecture is proposed, empowered by multi-functional reconfigurable intelligent surfaces (MF-RIS) capable of simultaneously reflecting, amplifying, and harvesting wireless energy. The MF-RIS plays a pivotal role in addressing the energy shortages of low-Earth orbit (LEO) satellites operating in shadowed regions, while explicitly accounting for both communication and computing energy consumption across the SAGIN nodes. To maximize the long-term en…

Implications of Current Litigation on the Design of AI Systems for Healthcare Delivery
Gennie Mansi, Mark Riedl
https://arxiv.org/abs/2507.15981 https://…

Implications of Current Litigation on the Design of AI Systems for Healthcare Delivery
Many calls for explainable AI (XAI) systems in medicine are tied to a desire for AI accountability--accounting for, mitigating, and ultimately preventing harms from AI systems. Because XAI systems provide human-understandable explanations for their output, they are often viewed as a primary path to prevent harms to patients. However, when harm occurs, laws, policies, and regulations also shape AI accountability by impacting how harmed individuals can obtain recourse. Current approaches to XAI e…

Coordinated Multi-Drone Last-mile Delivery: Learning Strategies for Energy-aware and Timely Operations
Chuhao Qin, Arun Narayanan, Evangelos Pournaras
https://arxiv.org/abs/2509.15830

Coordinated Multi-Drone Last-mile Delivery: Learning Strategies for Energy-aware and Timely Operations
Drones have recently emerged as a faster, safer, and cost-efficient way for last-mile deliveries of parcels, particularly for urgent medical deliveries highlighted during the pandemic. This paper addresses a new challenge of multi-parcel delivery with a swarm of energy-aware drones, accounting for time-sensitive customer requirements. Each drone plans an optimal multi-parcel route within its battery-restricted flight range to minimize delivery delays and reduce energy consumption. The problem i…

Emission Impossible: privacy-preserving carbon emissions claims
Jessica Man, Sadiq Jaffer, Patrick Ferris, Martin Kleppmann, Anil Madhavapeddy
https://arxiv.org/abs/2506.16347

Emission Impossible: privacy-preserving carbon emissions claims
Information and Communication Technologies (ICT) have a significant climate impact, and data centres account for a large proportion of the carbon emissions from ICT. To achieve sustainability goals, it is important that all parties involved in ICT supply chains can track and share accurate carbon emissions data with their customers, investors, and the authorities. However, businesses have strong incentives to make their numbers look good, whilst less so to publish their accounting methods along…

Aly & Andrews All Aussie Accounting Adventures
Great Australian Pods Podcast Directory: https://www.greataustralianpods.com/aly-andrews-all-aussie-accounting-adventures/

Raiders Get Concerning Giants Comparison Over Ashton Jeanty https://heavy.com/sports/nfl/las-vegas-raiders/concerning-giants-comparison-ashton-jeanty/?adt_ei=[email]

GoVector: An I/O-Efficient Caching Strategy for High-Dimensional Vector Nearest Neighbor Search
Yijie Zhou, Shengyuan Lin, Shufeng Gong, Song Yu, Shuhao Fan, Yanfeng Zhang, Ge Yu
https://arxiv.org/abs/2508.15694

GoVector: An I/O-Efficient Caching Strategy for High-Dimensional Vector Nearest Neighbor Search
Graph-based high-dimensional vector indices have become a mainstream solution for large-scale approximate nearest neighbor search (ANNS). However, their substantial memory footprint often requires storage on secondary devices, where frequent on-demand loading of graph and vector data leads to I/O becoming the dominant bottleneck, accounting for over 90\% of query latency. Existing static caching strategies mitigate this issue only in the initial navigation phase by preloading entry points and m…

Lensed stars in galaxy-galaxy strong lensing -- a JWST prediction for the Cosmic Horseshoe
Sung Kei Li, Luke Weisenbach, Thomas E. Collett, Jose M. Diego, Jeremy Lim, Thomas J. Broadhurst, Alex Chow, Wolfgang J. R. Enzi, Patrick L. Kelly, Carlos R. Melo-Carneiro, Jose M. Palencia, Liliya L. R. Williams, Jiashuo Zhang
https://arxiv.org/abs/…

Lensed stars in galaxy-galaxy strong lensing -- a JWST prediction for the Cosmic Horseshoe
We explore for the first time the possibility of detecting lensed star transients in galaxy-galaxy strong lensing systems upon repeated, deep imaging using the {\it James-Webb Space Telescope} ({\it JWST}). Our calculation predicts that the extremely high recent star formation rate of $\sim 100\,M_{\odot}\textrm{yr}^{-1}$ over the last 50 Myr (not accounting for image multiplicity) in the ``Cosmic Horseshoe'' lensed system ($z = 2.381$) generates many young, bright stars, of which their large a…

Oil Peak and the Decline of Net Energy: Policy Implications from an EROI-Entropy Perspective
Shunsuke Nakaya, Jun Matsushima
https://arxiv.org/abs/2509.15252 https://

Oil Peak and the Decline of Net Energy: Policy Implications from an EROI-Entropy Perspective
Net energy - the energy obtained from a resource after accounting for the energy expended in its acquisition - fundamentally determines the capacity of societies to sustain and expand. The extended Energy Return on Investment (EROIext) incorporates not only extraction and refining but also transport and end-use infrastructure, yet its long-term dynamics remain poorly understood. Here, we apply a Single-Cycle Lotka-Volterra (SCLV) model to the global petroleum system, calibrated with historical …

Osiris revisited: Confirming a solar metallicity and low C/O in HD 209458b
N. Bachmann, L. Kreidberg, P. Molli\`ere, D. Deming, S. -M. Tsai
https://arxiv.org/abs/2506.16232

Osiris revisited: Confirming a solar metallicity and low C/O in HD 209458b
HD 209458b is the prototypical hot Jupiter and one of the best targets available for precise atmosphere characterisation. Now that spectra from both Hubble Space Telescope (HST) and James Webb Space Telescope (JWST) are available, we can reveal the atmospheric properties in unprecedented detail. In this study, we perform a new data reduction and analysis of the original HST/WFC3 spectrum, accounting for the wavelength dependence of the instrument systematics that was not considered in previous …

Accurate complex-stacking-fault Gibbs energy in Ni3Al at high temperatures
Xiang Xu, Xi Zhang, Andrei Ruban, Siegfried Schmauder, Blazej Grabowski
https://arxiv.org/abs/2508.15528

Accurate complex-stacking-fault Gibbs energy in Ni3Al at high temperatures
To gain a deeper insight into the anomalous yield behavior of Ni3Al, it is essential to obtain temperature-dependent formation Gibbs energies of the relevant planar defects. Here, the Gibbs energy of the complex stacking fault (CSF) is evaluated using a recently proposed ab initio framework [Acta Materialia, 255 (2023) 118986], accounting for all thermal contributions - including anharmonicity and paramagnetism - up to the melting point. The CSF energy shows a moderate decrease from 300K to abo…

Money in Motion: Micro-Velocity and Usage of Ethereums Liquid Staking Tokens
Benjamin Kraner, Luca Pennella, Nicol\`o Vallarano, Claudio J. Tessone
https://arxiv.org/abs/2508.15391

Money in Motion: Micro-Velocity and Usage of Ethereums Liquid Staking Tokens
We introduce a micro-velocity framework for analysing the on-chain circulation of Lidos liquid-staking tokens, stETH, and its wrapped ERC-20 form, wstETH. By reconstructing full transfer and share-based accounting histories, we compute address-level velocities and decompose them into behavioural components. Despite their growing importance, the micro-level monetary dynamics of LSTs remain largely unexplored. Our data reveal persistently high velocity for both tokens, reflecting intensive reuse …

Crosslisted article(s) found for math.CT. https://arxiv.org/list/math.CT/new
[1/1]:
- Macroeconomic Foundation of Monetary Accounting by Diagrams of Categorical Universals
Ren\'ee Men\'endez, Viktor Winschel

A Detailed Configuration Accounting for the Hot Plasma Bound-Free Opacity Calculation
Alina Nadezhkina, Mikhail Vronskiy
https://arxiv.org/abs/2508.11815 https://

A Detailed Configuration Accounting for the Hot Plasma Bound-Free Opacity Calculation
The calculation of the hot plasma bound-free opacity according to the average atom models often leads to a noticeable effect of initial configuration on the shell ionization threshold. For the related problem of taking into account the impact of configurations while calculating bound-bound opacity, G. Hazak and Y. Kurzweil developed a method within the Super Transition Arrays approach. Fourier transform method is the adaptation of their method for a Detailed Configurations Accounting. The bound…

Russia occupied less than 1% of Ukraine's territory since November 2022, monitoring group says: https://benborges.xyz/2025/08/18/russia-occupied-less-than-of.html

PitchBook: 15.9% of VC-backed deals in 2025 so far have been down rounds, a 10-year high, with AI and ML startups accounting for 29.3% of the down rounds (Allie Garfinkle/Fortune)
https://fortune.com/2025/08/14/startup-down-rounds-are-at…

Startup down rounds are at a 10 year high, according to PitchBook data
PitchBook data revealed that 15.9% of venture-backed deals in 2025 to date have been down rounds, marking a decade high.

Transfer entropy for finite data
Alec Kirkley
https://arxiv.org/abs/2506.16215 https://arxiv.org/pdf/2506.16215

Transfer entropy for finite data
Transfer entropy is a widely used measure for quantifying directed information flows in complex systems. While the challenges of estimating transfer entropy for continuous data are well known, it has two major shortcomings that persist even for data of finite cardinality: it exhibits a substantial positive bias for sparse bin counts, and it has no clear means to assess statistical significance. By more precisely accounting for information content in finite data streams, we derive a transfer ent…

Dynamic Transmission Line Switching Amidst Wildfire-Prone Weather Under Decision-Dependent Uncertainty
Juan-Alberto Estrada-Garcia, Ruiwei Jiang, Alexandre Moreira
https://arxiv.org/abs/2507.13611

Dynamic Transmission Line Switching Amidst Wildfire-Prone Weather Under Decision-Dependent Uncertainty
During dry and windy seasons, environmental conditions significantly increase the risk of wildfires, exposing power grids to disruptions caused by transmission line failures. Wildfire propagation exacerbates grid vulnerability, potentially leading to prolonged power outages. To address this challenge, we propose a multi-stage optimization model that dynamically adjusts transmission grid topology in response to wildfire propagation, aiming to develop an optimal response policy. By accounting for…

Reformulating Parallel-Connected Lithium-Ion Battery Pack Dynamics with Interconnection Resistances as Ordinary Differential Equations
Jaffar Ali Lone, Nilsu Atlan, Simone Fasolato, Davide M Raimondo, Ross Drummond
https://arxiv.org/abs/2508.14454

Reformulating Parallel-Connected Lithium-Ion Battery Pack Dynamics with Interconnection Resistances as Ordinary Differential Equations
This work presents analytical solutions for the current distribution in lithium-ion battery packs composed of cells connected in parallel, explicitly accounting for the presence of interconnection resistances. These solutions enable the reformulation of the differential-algebraic equations describing the pack dynamics into a set of ordinary differential equations, thereby simplifying simulation and analysis. Conditions under which uniform current sharing across all cells occurs are also derived…

The 21cm-galaxy cross-correlation: Realistic forecast for 21cm signal detection and reionisation constraints
Anne Hutter, Caroline Heneka
https://arxiv.org/abs/2509.15906 https:…

The 21cm-galaxy cross-correlation: Realistic forecast for 21cm signal detection and reionisation constraints
21cm-galaxy cross-correlation will play a key role in confirming the cosmological 21cm signal. We investigate which survey configurations detect the 21cm-LAE cross-correlation signal, and assess its ability to distinguish reionisation scenarios. Our pipeline computes observational uncertainties for the 21cm-galaxy cross-power spectrum, accounting for key survey parameters: the field of view (FoV), limiting luminosity of galaxy surveys $L_α$, redshift uncertainty $σ_z$, and 21cm foreground wed…

Phase-space excluded-volume approach for light clusters in nuclear medium
Rui Wang, Zhen Zhang, Stefano Burrello, Maria Colonna, Edoardo G. Lanza
https://arxiv.org/abs/2506.16437 …

Phase-space excluded-volume approach for light clusters in nuclear medium
A phase-space excluded-volume approach is developed to investigate the in-medium properties of light clusters in nuclear matter. In this approach, light clusters can exist only if the total nucleon phase-space occupation of the surrounding nuclear medium -- including explicit contributions from light clusters -- is sufficiently low. The distribution functions of nucleons and light clusters are determined self-consistently by accounting for the interplay between in-medium effects and thermodynam…

A variational approach to the emergence of domain structures in magnetostrictive solids
Marco Bresciani, Manuel Friedrich
https://arxiv.org/abs/2507.14091 …

A variational approach to the emergence of domain structures in magnetostrictive solids
We consider a variational model for magnetoelastic solids in the large-strain setting with the magnetization field defined on the unknown deformed configuration. Through a simultaneous linearization of the deformation and sharp-interface limit of the magnetization with respect to the easy axes, performed in terms of $Γ$-convergence, we identify a variational model describing the formation of domain structures and accounting for magnetostriction in the small-strain setting. Our analysis incorpo…

Bayesian Analysis and Analytic Continuation of Scattering Amplitudes from Lattice QCD
Miguel Salg, Fernando Romero-L\'opez, William I. Jay
https://arxiv.org/abs/2506.16161

Bayesian Analysis and Analytic Continuation of Scattering Amplitudes from Lattice QCD
We present a novel procedure for analyzing the lattice-QCD spectrum via the finite-volume formalism to obtain constraints on multi-hadron scattering amplitudes at both real and complex energies. This approach combines a Bayesian reconstruction of the scattering amplitude on the real axis with Nevanlinna interpolation for analytic continuation to complex-valued energies. The method is non-parametric, inherently accounting for parametrization dependence within the uncertainty. We demonstrate the …

At Berlin Buzzwords 2025, Nikolay Sivko discussed delay accounting — a frequently overlooked feature that provides valuable insights into CPU time shortages and application latency. Discover how to use these kernel metrics to improve performance analysis and system optimisation.
Watch the full session: https://youtu.be/ihp39S9tBIQ?si=-85voQ-7Uqbepyga
Berlin Buzzwords returns on 7-9 June 2026! Get 36% off with our Trust Us Ticket: https://tickets.plainschwarz.com/bbuzz26/c/8Hvk0ZvJA/

Shadow of a nonlinear electromagnetic generalized Kerr-Newman-AdS black hole
Mohsen Fathi
https://arxiv.org/abs/2508.13341 https://arxiv.org/pdf/2508.13341…

Shadow of a nonlinear electromagnetic generalized Kerr-Newman-AdS black hole
In this work, we investigate the shadow properties of the Kerr-Newman-Anti-de Sitter black hole coupled to a nonlinear electrodynamics. We construct the shadow by employing the celestial coordinate approach for observers located at finite distances, accounting for the non-asymptotically flat nature of the spacetime. The size, distortion, area, and oblateness of the shadow are analyzed in terms of the black hole parameters, including the spin, effective charge, and nonlinearity parameter. We fur…

Geometric sensitivity of modal parameters in wind instrument models: a case study on Saxophone intonation
Nathan Szwarcberg (LMA), Tom Colinot (LMA), Christophe Vergez (LMA), Micha\"el Jousserand
https://arxiv.org/abs/2506.16220

Geometric sensitivity of modal parameters in wind instrument models: a case study on Saxophone intonation
The Transfer Matrix Method is a practical approach for modeling plane wave propagation in one-dimensional waveguides. Its simplicity makes it especially attractive for accounting for viscothermal losses, enabling realistic simulations of complex waveguides such as wind instruments. Another strength of this method lies in its fully analytical formulation of wave propagation. Modal parameters naturally arise as by-products of the model, obtained by numerically solving analytical expressions. In t…

Entropy, purity and gluon cascades at high energies with recombinations and transitions to vacuum
Krzysztof Kutak, Micha{\l} Prasza{\l}owicz
https://arxiv.org/abs/2508.13781 htt…

Entropy, purity and gluon cascades at high energies with recombinations and transitions to vacuum
We study one dimensional dipole cascade models in the high-energy limit of QCD. Motivated by data on hadron multiplicities in the LHCb kinematical range, we generalize existing cascade models for splitting and recombination to account also for transitions to the vacuum. This modification allows us to describe the data. Furthermore, we perform both analytical and numerical studies of the cascades and find that the cascade including loop corrections, as well as the one accounting for transitions …

Filing your taxes without paying extra for the privilege is apparently too "woke."
https://news.bloombergtax.com/financial-accounting/irs-chief-says-direct-file-is-gone-other-audit-tech-is-coming

IRS Chief Says Direct File Is ‘Gone,’ Other Audit Tech Is Coming
The Biden-era IRS free filing tool, Direct File, is “gone,” IRS Commissioner Billy Long said.

With Accounting Gimmick, Republicans Upend Senate Norms (Andrew Duehren/New York Times)
https://www.nytimes.com/2025/06/29/us/politics/with-accounting-gimmick-republicans-upend-senate-norms.html
http://www.memeorandum.com/250629/p79#a250629p79

Ambrook, a startup providing specialized accounting software for US farmers and ranchers, raised a $26.1M Series A led by Thrive Capital and Figma's Dylan Field (Allie Garfinkle/Fortune)
https://fortune.com/2025/0…

Exclusive: Ambrook raises $26.1 million Series A to provide farmers and ranchers with better accounting software
Founded in 2021, Ambrook has raised a $26.1 million Series A, led by Thrive Capital and Dylan Field, Fortune has exclusively learned.

Receiver Noise Calibration in CV-QKD accounting for Noise Dynamics
Guillaume Ricard, Yves Jaou\"en, Romain All\'eaume
https://arxiv.org/abs/2509.07549 https://

Receiver Noise Calibration in CV-QKD accounting for Noise Dynamics
Continuous-Variable Quantum Key Distribution (CV-QKD) relies on accurate noise calibration at the receiver to ensure the security of quantum communication. Traditional calibration methods often oversimplify noise characteristics, neglecting the impact of local oscillator (LO) noise and the critical role of noise spectral properties, which can lead to imprecise Shot Noise Calibration (SNC). Our contributions are threefold: 1) we propose an operational framework for calibration, relying on the no…

Dimensional reduction of the M-theory Chern-Simons term at order $\ell_p^6$
Mohammad R. Garousi
https://arxiv.org/abs/2509.13726 https://arxiv.org/pdf/2509…

Dimensional reduction of the M-theory Chern-Simons term at order $\ell_p^6$
The dimensional reduction of M-theory couplings at order $\ell_p^6$ is known to produce one-loop $α'^3$ corrections in type IIA string theory. In this paper, we perform the Kaluza-Klein reduction of the M-theory Chern-Simons coupling $t_8ε_{11} A R^4$ at this order. By meticulously accounting for non-gauge-invariant total derivative terms, we derive the complete set of corresponding one-loop, gauge-invariant couplings in the type IIA effective action. Our results not only reproduce the standa…

Moving Beyond Marginal Carbon Intensity: A Poor Metric for Both Carbon Accounting and Grid Flexibility
Philipp Wiesner, Odej Kao
https://arxiv.org/abs/2507.11377

Moving Beyond Marginal Carbon Intensity: A Poor Metric for Both Carbon Accounting and Grid Flexibility
Marginal Carbon Intensity (MCI) has been promoted as an effective metric for carbon-aware computing. Although it is already considered as impractical for carbon accounting purposes, many still view it as valuable when optimizing for grid flexibility by incentivizing electricity usage during curtailment periods. In this statement paper, we argue that MCI is neither reliable nor actionable for either purpose. We outline its fundamental limitations, including non-observability, reliance on opaque …

Photos: The Scale of China’s Solar-Power Projects - The Atlantic
https://www.theatlantic.com/photography/archive/2025/07/photos-china-solar-power-energy/683488/
"As the Trump administration’s “Big, Beautiful Bill” eliminate…

1. Data centres consume vast amounts of electricity, and industry which, in NSW, is still beholden to coal.
2. Data centres also consume significant quantities of water.
3. Carbon-neutral is an accounting trick, not an engineered greenhouse gas mitigation strategy.
4. Construction’s one of the most heavily polluting industries.
This whole thing is a greenwash.

China is dramatically investing in renewable energy. In pure self-interest but it will also help to improve it’s position as a world superpower. In the USA Trump is breaking down investments in renewable energy. Europe should not follow his self-destructive example.
https://www.

Photos: The Scale of China’s Solar-Power Projects
As the Trump administration’s “Big, Beautiful Bill” eliminates many clean-energy incentives in the U.S., China continues huge investments in wind and solar power, reportedly accounting for 74 percent of all projects now under construction worldwide.

Bivariate Distribution Regression; Theory, Estimation and an Application to Intergenerational Mobility
Victor Chernozhukov, Iv\'an Fern\'andez-Val, Jonas Meier, Aico van Vuuren, Francis Vella
https://arxiv.org/abs/2508.12716

Bivariate Distribution Regression; Theory, Estimation and an Application to Intergenerational Mobility
We employ distribution regression (DR) to estimate the joint distribution of two outcome variables conditional on chosen covariates. While Bivariate Distribution Regression (BDR) is useful in a variety of settings, it is particularly valuable when some dependence between the outcomes persists after accounting for the impact of the covariates. Our analysis relies on a result from Chernozhukov et al. (2018) which shows that any conditional joint distribution has a local Gaussian representation. W…

Splitting a graph by a given partition of the set of vertices based on the minimum weight of the induced trees
V. A. Buslov
https://arxiv.org/abs/2507.11909

Splitting a graph by a given partition of the set of vertices based on the minimum weight of the induced trees
A method for considering a weighted directed graph with an accuracy of up to a given partition of the set of vertices is proposed. The resulting digraph (the splitting graph) does not contain arcs inside each partition element, and the arcs between the partition atoms are calculated in a special way taking into account the arcs of the original directed graph inside the atoms. This accounting is based on minimal trees defined on atoms. A study was made of what information about the original digr…

"How much (little) are the AI companies making?"
https://pluralistic.net/2025/06/30/accounting-gaffs/#artificial-income

Me in 2016: No one should have a billion dollars.
Me in 2025, accounting for inflation: No one should have $1.339 billion dollars.

Quantifying the Energy Consumption and Carbon Emissions of LLM Inference via Simulations
Miray \"Ozcan, Philipp Wiesner, Philipp Wei{\ss}, Odej Kao
https://arxiv.org/abs/2507.11417

Quantifying the Energy Consumption and Carbon Emissions of LLM Inference via Simulations
The environmental impact of Large Language Models (LLMs) is rising significantly, with inference now accounting for more than half of their total lifecycle carbon emissions. However, existing simulation frameworks, which are increasingly used to determine efficient LLM deployments, lack any concept of power and, therefore, cannot accurately estimate inference-related emissions. We present a simulation framework to assess the energy and carbon implications of LLM inference under varying deployme…

Physics-Informed Electrochemical Model of Cathodic Corrosion in Alkaline Media
Auronno Ovid Hussain, Abdul Ahad Mamun, Faysal Rahman, Muhammad Anisuzzaman Talukder
https://arxiv.org/abs/2508.12431

Physics-Informed Electrochemical Model of Cathodic Corrosion in Alkaline Media
Electrochemical corrosion significantly reduces the durability of electrodes in water electrolyzers, adversely affecting hydrogen (H$_2$) production and cell efficiency. Current theoretical models inadequately assess corrosion behaviors in alkaline water electrolyzers. To address this, we developed a physics-informed electrochemical corrosion model evaluating the corrosion characteristics of cathodes in alkaline systems, accounting for factors such as exchange current density ($J_0$), redox pot…

🔧 Large-Scale Code Analysis
Process entire codebases with 75,000 lines including source files, tests and documentation for complete system understanding. Claude can identify cross-file dependencies and suggest improvements accounting for complete system design.
📄 Document Synthesis Capabilities
Analyze hundreds of legal contracts, research papers or technical specifications while maintaining full context across documents. Process extensive document sets and analyze relations…

Myopic Optimality: why reinforcement learning portfolio management strategies lose money
Yuming Ma
https://arxiv.org/abs/2509.12764 https://arxiv.org/pdf/2…

Myopic Optimality: why reinforcement learning portfolio management strategies lose money
Myopic optimization (MO) outperforms reinforcement learning (RL) in portfolio management: RL yields lower or negative returns, higher variance, larger costs, heavier CVaR, lower profitability, and greater model risk. We model execution/liquidation frictions with mark-to-market accounting. Using Malliavin calculus (Clark-Ocone/BEL), we derive policy gradients and risk shadow price, unifying HJB and KKT. This gives dual gap and convergence results: geometric MO vs. RL floors. We quantify phantom …

Anisotropic Neutrino Emission from Spinning, Moving, and Charged Primordial Black Holes
Arnab Chaudhuri
https://arxiv.org/abs/2508.14510 https://arxiv.org/…

Anisotropic Neutrino Emission from Spinning, Moving, and Charged Primordial Black Holes
The angular and spectral features of neutrinos emitted from primordial black holes (PBHs) carry key imprints of the black hole's fundamental properties. This work investigates the directional emission of neutrinos from Kerr-Newman PBHs undergoing Hawking evaporation, accounting for the combined effects of spin, motion, and electric charge. Rotation induces anisotropic fluxes through axisymmetric geometry and spin-dependent greybody factors, while relativistic motion leads to pronounced Doppler …

Scaling to Multimodal and Multichannel Heart Sound Classification: Fine-Tuning Wav2Vec 2.0 with Synthetic and Augmented Biosignals
Milan Marocchi, Matthew Fynn, Kayapanda Mandana, Yue Rong
https://arxiv.org/abs/2509.11606

Scaling to Multimodal and Multichannel Heart Sound Classification: Fine-Tuning Wav2Vec 2.0 with Synthetic and Augmented Biosignals
Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for approximately 17.9 million deaths each year. Early detection is critical, creating a demand for accurate and inexpensive pre-screening methods. Deep learning has recently been applied to classify abnormal heart sounds indicative of CVDs using synchronised phonocardiogram (PCG) and electrocardiogram (ECG) signals, as well as multichannel PCG (mPCG). However, state-of-the-art architectures remain underutilised…

Republicans move forward with controversial megabill accounting move (Politico)
https://www.politico.com/live-updates/2025/06/29/congress/republicans-move-forward-with-controversial-megabill-accounting-move-00432212
http://www.memeorandum.com/250629/p72#a250629p72

from my link log —
Activity Monitor anatomy: memory accounting on Mac OS.
https://www.bazhenov.me/posts/activity-monitor-anatomy/
saved 2025-07-30

Chandra Large Project Observations of the Supernova Remnant N132D: Measuring the Expansion of the Forward Shock
Xi Long, Paul P. Plucinsky, Terrance J. Gaetz, Vinay L. Kashyap, Aya Bamba, William P. Blair, Daniel Castro, Adam R. Foster, Charles J. Law, Dan Milisavljevic, Eric Miller, Daniel J. Patnaude, Manami Sasaki, Hidetoshi Sano, Piyush Sharda, Benjamin F. Williams, Brian J. Williams, Hiroya Yamaguchi

Chandra Large Project Observations of the Supernova Remnant N132D: Measuring the Expansion of the Forward Shock
We present results from the Chandra X-ray Observatory Large Project (878 ks in 28 observations) of the Large Magellanic Cloud supernova remnant N132D. We measure the expansion of the forward shock in the bright southern rim to be $0.\!^{\prime\prime}10 \pm 0.\!^{\prime\prime}02$ over the $\sim14.5$ yr baseline, which corresponds to a velocity of $1620\pm400~\mathrm{km\,s^{-1}}$ after accounting for several instrumental effects. We measure an expansion of $0.\!^{\prime\prime}23 \pm 0.\!^{\prime\…

Rillet, which is building AI ledger software to automate accounting tasks, raised a $70M Series B co-led by a16z and Iconiq, a source says at a ~$500M valuation (Aditya Soni/Reuters)
https://www.reuters.com/technology/ai-acco

I updated my system. I use kmymoney, an open source accounting system. This worked really well! With the new version, without any warning, without any explanation, they changed the ENTIRE interface AND the way it deals with locales. This is open source at its best. And then, those wannabe OS contributors complain that people become aggressive. How on earth can someone make such a mess and be proud of it? I'm flabbergasted

A layer of dust on the laptop as a sure sign it's time to do accounting again.

A coupled multiscale model of the human cornea accounting for the collagenous microstructure and the extracellular matrix
Christopher Miller, Maria Laura De Bellis, Anna Pandolfi
https://arxiv.org/abs/2507.00668

A coupled multiscale model of the human cornea accounting for the collagenous microstructure and the extracellular matrix
We present a micro-structurally based finite element model of the human cornea, where we explicitly describe the collagen-crosslink architecture in terms of a trusswork of non-linear struts, and the extracellular proteoglycan matrix in terms of continuum solid elements. We regard the cornea as a composite material with strongly non-linear properties within a finite kinematics framework. This innovative approach is based on two previously developed models, each of which has some drawbacks in des…

Soll keiner sagen, dass das nicht auch im Rest von Europa möglich wäre. So man wollte …
Norway Reached 96.9% Market Share For EVs In June - Slashdot https://tech.slashdot.org/story/25/07/03/2341234/norway-reached-969-market-share-fo…

Energy relaxation in superthermal collisions of carbon with oxygen: the influence of isotopic substitution
Cheikh T. Bop, Marko Gacesa
https://arxiv.org/abs/2508.12807 https://

Energy relaxation in superthermal collisions of carbon with oxygen: the influence of isotopic substitution
The transition from a once-dense Martian atmosphere to the thin one observed today implies a substantial loss of carbon, either through atmospheric escape or surface deposition. Accurately modeling this carbon escape necessitates accounting for collisions between energetic carbon atoms and the primary atmospheric constituents, including oxygen. To this end, we computed a highly accurate and comprehensive set of potential energy curves (PECs) for the C($^3$P) + O($^3$P) system. Based on these PE…

Reanalyzing DESI DR1: 1. $\Lambda$CDM Constraints from the Power Spectrum and Bispectrum
Anton Chudaykin, Mikhail M. Ivanov, Oliver H. E. Philcox
https://arxiv.org/abs/2507.13433 …

Reanalyzing DESI DR1: 1. $Λ$CDM Constraints from the Power Spectrum and Bispectrum
We present the first independent re-analysis of the galaxy clustering data from DESI Data Release 1, utilizing an effective field theory (EFT)-based full-shape model. We analyze the power spectra and bispectra of the public catalogs using a custom-built pipeline based on window-deconvolved quasi-optimal estimators, carefully accounting for all relevant systematic effects. Compared to the official collaboration analysis, we add the galaxy power spectrum hexadecapole and the bispectrum monopole, …

🔥 Deforestation is killing people by raising local temperatures
https://news.mongabay.com/short-article/2025/08/deforestation-is-killing-people-by-raising-local-temperatures/

Deforestation is killing people by raising local temperatures
For decades, the case for saving tropical forests has been cast in terms of carbon. Trees sequester vast quantities of it; razing them pumps more into the air. But new research reminds us that the destruction of rainforests has consequences that arrive long before the carbon accounting is tallied: It makes people hotter, sometimes lethally […]

Strategic Customer Behavior in an M/M/1 Feedback Queue with General Payoffs
Peter Taylor, Jiesen Wang
https://arxiv.org/abs/2507.11263 https://

Strategic Customer Behavior in an M/M/1 Feedback Queue with General Payoffs
We consider an M/M/1 feedback queue in which service attempts may fail, requiring the customer to rejoin the queue. Arriving customers act strategically, deciding whether to join the queue based on a threshold strategy that depends on the number of customers present. Their decisions balance the expected service reward against the costs associated with waiting, while accounting for the behavior of others. This model was first analyzed by Fackrell, Taylor and Wang (2021), who assumed that waiti…

Effects of Defects on Thermal Transport across Solid/Solid Heterogeneous Interfaces
Ershuai Yin, Wenzhu Luo, Lei Wang, Qiang Li
https://arxiv.org/abs/2508.12744 https://

Effects of Defects on Thermal Transport across Solid/Solid Heterogeneous Interfaces
During the fabrication of heterogeneous structures inside chips, impurities and defects are inevitably introduced. However, the mechanism by which defects affect interfacial heat transport remains unclear. In this work, a microscale thermal transport model is developed by combining first-principles calculations with Monte Carlo simulations, explicitly accounting for the effects of defects. The effects of defect concentration and location on thermal transport characteristics are investigated for…

Consistent Bayesian Spatial Domain Partitioning Using Predictive Spanning Tree Methods
Kun Huang, Huiyan Sang
https://arxiv.org/abs/2508.08324 https://arxi…

Consistent Bayesian Spatial Domain Partitioning Using Predictive Spanning Tree Methods
Bayesian model-based spatial clustering methods are widely used for their flexibility in estimating latent clusters with an unknown number of clusters while accounting for spatial proximity. Many existing methods are designed for clustering finite spatial units, limiting their ability to make predictions, or may impose restrictive geometric constraints on the shapes of subregions. Furthermore, the posterior clustering consistency theory of spatial clustering models remains largely unexplored in…

Robust Route Planning for Sidewalk Delivery Robots
Xing Tong, Michele D. Simoni
https://arxiv.org/abs/2507.12067 https://arxiv.org/pd…

Robust Route Planning for Sidewalk Delivery Robots
Sidewalk delivery robots are a promising solution for urban freight distribution, reducing congestion compared to trucks and providing a safer, higher-capacity alternative to drones. However, unreliable travel times on sidewalks due to pedestrian density, obstacles, and varying infrastructure conditions can significantly affect their efficiency. This study addresses the robust route planning problem for sidewalk robots, explicitly accounting for travel time uncertainty due to varying sidewalk c…

Disney says it has completed its 2025-2026 Upfronts with streaming accounting for more than 40% of total volume and sports advertising nearing $4B (Jill Goldsmith/Deadline)
https://deadline.com/2025/07/disney-wraps-upfront-sports-advertising-live-…

Disney Wraps Upfront With Sports Advertising Near $4B, Overall Volume Flat
Disney Advertising completed its 2025-2026 Upfront with overall volume flat from year before, despite increased sales in sports and streaming.

Distribution-free inference for LightGBM and GLM with Tweedie loss
Alokesh Manna, Aditya Vikram Sett, Dipak K. Dey, Yuwen Gu, Elizabeth D. Schifano, Jichao He
https://arxiv.org/abs/2507.06921

Distribution-free inference for LightGBM and GLM with Tweedie loss
Prediction uncertainty quantification is a key research topic in recent years scientific and business problems. In insurance industries (\cite{parodi2023pricing}), assessing the range of possible claim costs for individual drivers improves premium pricing accuracy. It also enables insurers to manage risk more effectively by accounting for uncertainty in accident likelihood and severity. In the presence of covariates, a variety of regression-type models are often used for modeling insurance clai…

"La Chine a installé 268 GW de nouvelles capacités d'énergies renouvelables au cours du premier semestre 2025, soit un quasi-doublement par rapport Š l'année précédente, l'énergie solaire représentant 212 GW du total, indique l'agence nationale de planification de l'énergie."
#énergie

From Pixels to Damage Severity: Estimating Earthquake Impacts Using Semantic Segmentation of Social Media Images
Danrong Zhang, Huili Huang, N. Simrill Smith, Nimisha Roy, J. David Frost
https://arxiv.org/abs/2507.02781

From Pixels to Damage Severity: Estimating Earthquake Impacts Using Semantic Segmentation of Social Media Images
In the aftermath of earthquakes, social media images have become a crucial resource for disaster reconnaissance, providing immediate insights into the extent of damage. Traditional approaches to damage severity assessment in post-earthquake social media images often rely on classification methods, which are inherently subjective and incapable of accounting for the varying extents of damage within an image. Addressing these limitations, this study proposes a novel approach by framing damage seve…

Accounting for shelf width in selecting altimetry observations for coastal sea level variability improves its agreement with tide gauges
Vandana Sukumaran, Bramha Dutt Vishwakarma
https://arxiv.org/abs/2508.20046

Accounting for shelf width in selecting altimetry observations for coastal sea level variability improves its agreement with tide gauges
A novel dynamically varying search radius algorithm is developed that takes advantage of bathymetry information to choose satellite observations that represent coastal sea level variability better. The algorithm is successfully tested at 155 tide gauge stations around the globe and demonstrates broader applicability across different coastal regimes compared to existing validation methods. This is supported by consistently higher median correlation and lower median Normalized Root Mean Square Er…

Reconfiguring Digital Accountability: AI-Powered Innovations and Transnational Governance in a Postnational Accounting Context
Claire Li, David Freeborn
https://arxiv.org/abs/2507.00288

Reconfiguring Digital Accountability: AI-Powered Innovations and Transnational Governance in a Postnational Accounting Context
This study explores how AI-powered digital innovations are reshaping organisational accountability in a transnational governance context. As AI systems increasingly mediate decision-making in domains such as auditing and financial reporting, traditional mechanisms of accountability, based on control, transparency, and auditability, are being destabilised. We integrate the Technology Acceptance Model (TAM), Actor-Network Theory (ANT), and institutional theory to examine how organisations adopt A…

Experimental Uncertainty Propagation in Neural Network Extraction in Hadronic Physics
Dustin Keller
https://arxiv.org/abs/2509.11456 https://arxiv.org/pdf/…

Experimental Uncertainty Propagation in Neural Network Extraction in Hadronic Physics
Obtaining Compton Form Factors (CFFs) and Transverse Momentum Dependent parton distribution functions (TMDs) from experimental data using neural network-based information extraction requires the precise propagation of experimental errors. Accurate representation of uncertainties and detailed experimental covariance matrices, accounting for both statistical and systematic uncertainties, are essential for high-quality extractions. This paper explores instrumental and analytical contributions to f…

Normative Modelling in Neuroimaging: A Practical Guide for Researchers
Nida Alyas, Jonathan Horsley, Peter N. Taylor, Yujiang Wang, Karoline Leiberg
https://arxiv.org/abs/2509.07237

Normative Modelling in Neuroimaging: A Practical Guide for Researchers
Normative modelling is an increasingly common statistical technique in neuroimaging that estimates population-level benchmarks in brain structure. It enables the quantification of individual deviations from expected distributions whilst accounting for biological and technical covariates without requiring large, matched control groups. This makes it a powerful alternative to traditional case-control studies for identifying brain structural alterations associated with pathology. Despite the avail…

Campfire, which offers AI-powered ERP and accounting services, raised a $35M Series A led by Accel (Julie Bort/TechCrunch)
https://techcrunch.com/2025/06/30/tiny-ai-erp-startup-campfire-is-winning-s…

Tiny AI ERP startup Campfire is winning so many startups from NetSuite, Accel led a $35M Series A  | TechCrunch
Campfire was launched in 2023 to upend 1990s-era enterprise resource planning accounting software (ERP) like Netsuite with an LLM-powered alternative. 

Do Governments React to Public Debt Accumulation? A Cross-Country Analysis
Paolo Canofari, Alessandro Piergallini, Marco Tedeschi
https://arxiv.org/abs/2507.13084

Do Governments React to Public Debt Accumulation? A Cross-Country Analysis
Do governments adjust budgetary policy to rising public debt, precluding fiscal unsustainability? Using budget data for 52 industrial and emerging economies since 1990, we apply panel methods accounting for cross-sectional dependence and heterogeneous fiscal conduct. We find that a primary-balance rule with tax-smoothing motives and responsiveness to debt has robust explanatory power in describing fiscal behavior. Controlling for temporary output, temporary spending, and the current account bal…

Vacuum squeezing enhanced micrometer scale vapor cell magnetometer
Shahar Monsa, Yair Chasid, Michael Shuldiner, Shmuel Sternklar, Eliran Talker
https://arxiv.org/abs/2507.07672

Vacuum squeezing enhanced micrometer scale vapor cell magnetometer
We report on an optical magnetometer enhanced by vacuum-squeezed light, employing an Mx magnetometer based on $^{87}$Rb vapor in a micrometer-scale cell (~100 $μ$m). Using the well-established polarization self-rotation effect in a room-temperature $^{87}$Rb vapor cell, we achieve -3 dB of vacuum squeezing within the noise spectral window of 100 Hz to several MHz, corresponding to 3.5 dB squeezing when accounting for optical losses. Leveraging this level of squeezing, we demonstrate a magnetic…

Giants WR Jalin Hyatt on transforming body to rebound after dismal Year 2: ‘That’s what darkness does to you’ https://www.nfl.com/news/giants-wr-jalin-hyatt-on-transforming-body-to-rebound-after-dismal-y…

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators
Kai Chen, Zhihai Bi, Guoyang Zhao, Chunxin Zheng, Yulin Li, Hang Zhao, Jun Ma
https://arxiv.org/abs/2509.11185

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators
Neural-based motion planning methods have achieved remarkable progress for robotic manipulators, yet a fundamental challenge lies in simultaneously accounting for both the robot's physical shape and the surrounding environment when generating safe and feasible motions. Moreover, existing approaches often rely on simplified robot models or focus primarily on obstacle representation, which can lead to incomplete collision detection and degraded performance in cluttered scenes. To address these li…

Integrating Uncertainties for Koopman-Based Stabilization
Yicheng Lin, Bingxian Wu, Nan Bai, Zhiyong Sun, Yunxiao Ren, Chuanze Chen, Zhisheng Duan
https://arxiv.org/abs/2508.11533

Integrating Uncertainties for Koopman-Based Stabilization
Over the past decades, the Koopman operator has been widely applied in data-driven control, yet its theoretical foundations remain underexplored. This paper establishes a unified framework to address the robust stabilization problem in data-driven control via the Koopman operator, fully accounting for three uncertainties: projection error, estimation error, and process disturbance. It comprehensively investigates both direct and indirect data-driven control approaches, facilitating flexible met…

When you turn on your old #Windows laptop to do accounting, and you're slightly worried about that Windows Update SSD thing, because you're not 100% sure if you correctly blocked updates (explicitly, via the junction hack and by killing DNS). Then you realize this old laptop doesn't have a SSD. 🤦

Spectral Analysis of Light Interstitial Segregation Energies in Ni: The Role of Local Cr Coordination for Boron and Carbon
Tyler D. Dole\v{z}al, Rodrigo Freitas, Ju Li
https://arxiv.org/abs/2509.12447 …

Spectral Analysis of Light Interstitial Segregation Energies in Ni: The Role of Local Cr Coordination for Boron and Carbon
Understanding interstitial segregation in chemically complex alloys requires accounting for chemical and structural heterogeneity of interfaces, motivating approaches that move beyond scalar descriptors to capture the full spatial and compositional spectra of segregation behavior. Here, we introduce a spectral segregation framework that maps distributions of segregation energies for light interstitials in Ni as a function of local Cr coordination. Boron exhibits a broad, rugged energy spectrum …

Vector-Centric Machine Learning Systems: A Cross-Stack Approach
Wenqi Jiang
https://arxiv.org/abs/2508.08469 https://arxiv.org/pdf/2508.08469

Vector-Centric Machine Learning Systems: A Cross-Stack Approach
Today, two major trends are shaping the evolution of ML systems. First, modern AI systems are becoming increasingly complex, often integrating components beyond the model itself. A notable example is Retrieval-Augmented Generation (RAG), which incorporates not only multiple models but also vector databases, leading to heterogeneity in both system components and underlying hardware. Second, with the end of Moore's Law, achieving high system efficiency is no longer feasible without accounting for…

Nominal, which develops AI agents for ERP systems to automate tasks for finance teams, raised a $20M Series A led by Next47, bringing its total funding to ~$30M (Meir Orbach/CTech)
https://www.calcalistech.com/ctechnews/article/hjp11cpislx

Ex-Cognigo founders raise $20M Series A to bring AI automation to CFOs
Nominal’s agentic platform promises to cut thousands of hours of manual accounting work.

Tell Me Without Telling Me: Two-Way Prediction of Visualization Literacy and Visual Attention
Minsuk Chang, Yao Wang, Huichen Will Wang, Yuanhong Zhou, Andreas Bulling, Cindy Xiong Bearfield
https://arxiv.org/abs/2508.03713

Tell Me Without Telling Me: Two-Way Prediction of Visualization Literacy and Visual Attention
Accounting for individual differences can improve the effectiveness of visualization design. While the role of visual attention in visualization interpretation is well recognized, existing work often overlooks how this behavior varies based on visual literacy levels. Based on data from a 235-participant user study covering three visualization tests (mini-VLAT, CALVI, and SGL), we show that distinct attention patterns in visual data exploration can correlate with participants' literacy levels: W…

Monetary Macro Accounting Theory
Ren\'eee Men\'endez, Viktor Winschel
https://arxiv.org/abs/2506.21651 https://arxiv.org/pdf/…

Monetary Macro Accounting Theory
We develop a monetary macro accounting theory (MoMaT) and its software specification for a consistent national accounting. In our money theory money functions primarily as a medium of payment for obligations and debts, not as a medium of exchange, originating from the temporal misalignment where producers pay suppliers before receiving revenue. MoMaT applies the legal principles of Separation and Abstraction to model debt, contracts, property rights, and money to understand their nature. Moneta…

Short GRB 090510: a magnetized neutron star binary merger leading to a black hole
J. A. Rueda, R. Ruffini, Yu Wang
https://arxiv.org/abs/2509.08172 https://

Short GRB 090510: a magnetized neutron star binary merger leading to a black hole
We model the short gamma-ray bursts (GRB) 090510 as the product of a magnetized neutron star (NS) binary merger. Accounting for the NS critical mass constraint given by the mass of PSR J0952--0607, we infer that GRB 090510 was a highly-magnetized NS-NS merger that left as remnant a Kerr black hole (BH) of $2.4 M_\odot$ with a low-mass accretion disk. The gamma-ray precursor is powered by the magnetic energy released during the merger of the NSs. The prompt emission originates at the transparenc…

Moduli Self-Fixing
Gonzalo F. Casas, Luis E. Ib\'a\~nez
https://arxiv.org/abs/2507.05345 https://arxiv.org/pdf/2507.05345

Moduli Self-Fixing
In Quantum Gravity (QG), large moduli values lead to towers of exponentially light states, making the QG cut-off field-dependent. In 4D supersymmetric (SUSY) theories, this cut-off is set by the species scale $Λ(z_i, \bar{z}_i)$, where $z_i$ are complex moduli. We argue that in GKP-like 4D no-scale vacua, accounting for this field dependence generates one-loop, positive-definite potentials for the otherwise unfixed moduli, with local Minkowski minima at the desert points in moduli space with $…

Accounting for Subsystem Aging Variability in Battery Energy Storage System Optimization
Melina Grane, Martin Cornejo, Holger Hesse, Andreas Jossen
https://arxiv.org/abs/2507.04813

Accounting for Subsystem Aging Variability in Battery Energy Storage System Optimization
This paper presents a degradation-cost-aware optimization framework for multi-string battery energy storage systems, emphasizing the impact of inhomogeneous subsystem-level aging in operational decision-making. We evaluate four scenarios for an energy arbitrage scenario, that vary in model precision and treatment of aging costs. Key performance metrics include operational revenue, power schedule mismatch, missed revenues, capacity losses, and revenue generated per unit of capacity loss. Our ana…

Sparse Seemingly Unrelated Regression (SSUR) Copula Mixed Models for Multivariate Loss Reserving
Pengfei Cai, Anas Abdallah, Pratheepa Jeganathan
https://arxiv.org/abs/2509.05426

Sparse Seemingly Unrelated Regression (SSUR) Copula Mixed Models for Multivariate Loss Reserving
Insurance companies often operate across multiple interrelated lines of business (LOBs), and accounting for dependencies between them is essential for accurate reserve estimation and risk capital determination. In our previous work on the Extended Deep Triangle (EDT), we demonstrated that a more flexible model that uses multiple companies' data reduces reserve prediction error and increases diversification benefits. However, the EDT's limitation lies in its limited interpretability of the depen…

On the True Significance of the Hubble Tension: A Bayesian Error Decomposition Accounting for Information Loss
Nathalia M. N. da Rocha, Andre L. B. Ribeiro, Francisco B. S. Oliveira
https://arxiv.org/abs/2509.09034

On the True Significance of the Hubble Tension: A Bayesian Error Decomposition Accounting for Information Loss
The Hubble tension, a persistent discrepancy between early and late Universe measurements of $H_0$, poses a significant challenge to the standard cosmological model. In this work, we present a new Bayesian hierarchical framework designed to meticulously decompose this observed tension into its constituent parts: standard measurement errors, information loss arising from parameter-space projection, and genuine physical tension. Our approach, employing Fisher matrix analysis with MCMC-estimated l…

Time-delayed opinion dynamics with leader-follower interactions: consensus, stability, and mean-field limits
Young-Pil Choi, Chiara Cicolani, Cristina Pignotti
https://arxiv.org/abs/2508.08157

Time-delayed opinion dynamics with leader-follower interactions: consensus, stability, and mean-field limits
We study a time-delayed variant of the Hegselmann-Krause opinion formation model featuring a small group of leaders and a large group of non-leaders. In this model, leaders influence all agents but only interact among themselves. At the same time, non-leaders update their opinions via interactions with their peers and the leaders, with time delays accounting for communication and decision-making lags. We prove the exponential convergence to consensus of the particle system, without imposing sma…

Unravelling the Probabilistic Forest: Arbitrage in Prediction Markets
Oriol Saguillo, Vahid Ghafouri, Lucianna Kiffer, Guillermo Suarez-Tangil
https://arxiv.org/abs/2508.03474 h…

Unravelling the Probabilistic Forest: Arbitrage in Prediction Markets
Polymarket is a prediction market platform where users can speculate on future events by trading shares tied to specific outcomes, known as conditions. Each market is associated with a set of one or more such conditions. To ensure proper market resolution, the condition set must be exhaustive -- collectively accounting for all possible outcomes -- and mutually exclusive -- only one condition may resolve as true. Thus, the collective prices of all related outcomes should be \$1, representing a c…

QCD antenna radiative spectrum in dense media: accounting for full jet-medium interactions
Matvey V. Kuzmin, Jo\~ao M. Silva
https://arxiv.org/abs/2507.00143

QCD antenna radiative spectrum in dense media: accounting for full jet-medium interactions
We compute the double differential inclusive spectrum for the emission of a soft gluon from a color-singlet $q\bar q$ pair traversing a dense QCD medium. Our results extend the existing literature by simultaneously incorporating both single hard and multiple soft gluon exchanges between the jet and the medium -- an essential ingredient for a complete phenomenological description of jet quenching. Using the Improved Opacity Expansion framework, we provide an analytically tractable treatment, red…

Electricity Price-Aware Scheduling of Data Center Cooling
Arash Khojaste, Jonathan Pearce, Golbon Zakeri, Yuanrui Sang
https://arxiv.org/abs/2508.03160 https://

Electricity Price-Aware Scheduling of Data Center Cooling
Data centers are becoming a major consumer of electricity on the grid, with cooling accounting for about 40\% of that energy. As electricity prices vary throughout the day and year, there is a need for cooling strategies that adapt to these fluctuations to reduce data center cooling costs. In this paper, we present a model for electricity price-aware cooling scheduling using a Markov Decision Process(MDP) framework to reliably estimate the cooling system operational costs and facilitate investm…

Meituan says daily orders on its instant delivery service surpassed 120M on July 5, setting an all-time high, with food orders accounting for 100M of them (Ann Cao/South China Morning Post)
https://www.scmp.com/tech/big-tech/artic…

Meituan captures record orders as e-commerce war fuels demand for delivery
Daily orders surpassed 120 million on Meituan’s instant delivery service platform on Saturday; Taobao and JD.com also reported good volume.

A tunable Monte Carlo method for mixing correlated-k opacities. PRAS: polynomial reconstruction and sampling
Elspeth K. H. Lee
https://arxiv.org/abs/2508.07072 https://

A tunable Monte Carlo method for mixing correlated-k opacities. PRAS: polynomial reconstruction and sampling
Accurately accounting for mixed-gas opacities is critical for radiative-transfer (RT) calculations in sub-stellar atmospheres. To produce the total k-coefficients of an arbitrary mixture of gases and their associated volume mixing ratios (VMRs), several methods are applied in the literature with various levels of overall accuracy and ease of computation. We propose a simple, tunable random overlap method, polynomial reconstruction and sampling (PRAS). PRAS is a Monte Carlo-based technique, samp…

Preliminary Investigation into Uncertainty-Aware Attack Stage Classification
Alessandro Gaudenzi, Lorenzo Nodari, Lance Kaplan, Alessandra Russo, Murat Sensoy, Federico Cerutti
https://arxiv.org/abs/2508.00368

Preliminary Investigation into Uncertainty-Aware Attack Stage Classification
Advanced Persistent Threats (APTs) represent a significant challenge in cybersecurity due to their prolonged, multi-stage nature and the sophistication of their operators. Traditional detection systems typically focus on identifying malicious activity in binary terms (benign or malicious) without accounting for the progression of an attack. However, effective response strategies depend on accurate inference of the attack's current stage, as countermeasures must be tailored to whether an adversa…

Towards Generalizable Safety in Crowd Navigation via Conformal Uncertainty Handling
Jianpeng Yao, Xiaopan Zhang, Yu Xia, Zejin Wang, Amit K. Roy-Chowdhury, Jiachen Li
https://arxiv.org/abs/2508.05634

Towards Generalizable Safety in Crowd Navigation via Conformal Uncertainty Handling
Mobile robots navigating in crowds trained using reinforcement learning are known to suffer performance degradation when faced with out-of-distribution scenarios. We propose that by properly accounting for the uncertainties of pedestrians, a robot can learn safe navigation policies that are robust to distribution shifts. Our method augments agent observations with prediction uncertainty estimates generated by adaptive conformal inference, and it uses these estimates to guide the agent's behavio…

Black-hole mass estimation through accretion disk spectral fitting for high-redshift blazars
G. Kyriopoulos, M. Petropoulou, G. Vasilopoulos, D. Hatzidimitriou
https://arxiv.org/abs/2509.06933

Black-hole mass estimation through accretion disk spectral fitting for high-redshift blazars
High-redshift ($z>2$) blazars, with relativistic jets aligned toward us, probe the most powerful end of the active galactic nuclei (AGN) population. We aim at determining the black hole masses and mass accretion rates of high-$z$ blazars in a common framework that utilizes a Markov Chain Monte Carlo (MCMC) fitting method and the Shakura-Sunayev multi-temperature accretion disk model, accounting also for attenuation due to neutral hydrogen gas in the intergalactic medium (IGM). We compiled a sam…

Dark Walker in the Early Universe: A Strongly Coupled Sector Model
Chen Yang
https://arxiv.org/abs/2507.06454 https://arxiv.org/pdf/2…

Dark Walker in the Early Universe: A Strongly Coupled Sector Model
We explore the phenomenology of the ``Dark Walker'' -- an $\text{SU}(3)$ theory with eight flavors of fundamental fermions in the dark sector. During inflation, its walking dynamics generate primordial non-Gaussianities through the exchange of unparticles, while accounting for the current dark matter relic abundance if the resulting massive pseudoscalars behave as strongly interacting massive particles (SIMPs). This provides a simple yet concrete example of a strongly coupled sector during infl…

New Zealand-based Xero, which offers accounting software for small businesses, agrees to acquire payments software company Melio in a $2.5B cash-and-stock deal (Rajasik Mukherjee/Reuters)
https://www.reuters.com/legal/transactiona