Tootfinder

A fragment of a Chinese rocket stage - 2024-173L - 'landed' in Western Australia on 18 October: #SpaceJunk

Analysis: Pokrovsk on the brink as Russian troops, drones infiltrate deeper into Ukraine’s fortress city: https://benborges.xyz/2025/10/22/analysis-pokrovsk-on-the-brink.html

NPR analysis shows skyrocketing number of 'no-shows' in immigration court (NPR)
https://www.npr.org/2025/12/22/nx-s1-5583971/trump-ice-immigration-arrests-deportation-no-shows
http://www.memeorandum.com/251222/p32#a251222p32

Analysis: agencies have hired hundreds of thousands of "chatters" to impersonate 4M OnlyFans creators, as many Filipino chatters struggle with mental health (Michael Beltran/Nikkei Asia)
https://asia.nikkei.com/spotlight/soci

Filipino OnlyFans 'chatters' struggle with mental health, job security
Unrelenting, desensitizing work, lack of protections among biggest complaints

Sequential analysis in a continuous spin-noise quantum sensor
Elisabet Roda-Salichs, Giulio Gasbarri, Antoni Alou, Michalis Skotiniotis, Aleksandra Sierant, Diana M\'endez-Avalos, Morgan W. Mitchell, John Calsamiglia
https://arxiv.org/abs/2509.16177

Sequential analysis in a continuous spin-noise quantum sensor
Many control and detection applications require real-time analysis of signals from sensors, in order to quickly and accurately act upon events revealed by the sensors. Such signal analysis benefits from statistical models of signal and sensor behavior. This creates a need for data analysis methods that are simultaneously model-based, computationally efficient and causal, in the sense that they employ only sensor data available prior to a specific point in time. In this work, we implement sequen…

MicroRCA-Agent: Microservice Root Cause Analysis Method Based on Large Language Model Agents
Pan Tang, Shixiang Tang, Huanqi Pu, Zhiqing Miao, Zhixing Wang
https://arxiv.org/abs/2509.15635

MicroRCA-Agent: Microservice Root Cause Analysis Method Based on Large Language Model Agents
This paper presents MicroRCA-Agent, an innovative solution for microservice root cause analysis based on large language model agents, which constructs an intelligent fault root cause localization system with multimodal data fusion. The technical innovations are embodied in three key aspects: First, we combine the pre-trained Drain log parsing algorithm with multi-level data filtering mechanism to efficiently compress massive logs into high-quality fault features. Second, we employ a dual anomal…

🥠 How candidates evoke identity and issues on TikTok
#media #socialmedia

How candidates evoke identity and issues on TikTok
Social media platforms are increasingly central to campaign communication, with both paid (advertising) and earned (organic) posts used for fundraising, mobilization, and persuasion. TikTok, and other short-form video platforms, with its short-video format and content-driven algorithms, demand unique content. We examine the final six months before the 2024 US Presidential Election to understand how major campaigns used TikTok. We frame our analysis around two political science theories. The fir…

Technology and analysis of game interactivity for people with disabilities https://lseee.net/index.php/te/article/view/1601 "In games, the auxiliary methods of sensory impairment are mainly realized through sensory substitution, information enhancement and tactile feedback."<…

“Additional direct manufacturing costs do not fully explain the higher prices of electric cars outside China. [..] in Germany, the retail price difference is more than double the manufacturing cost difference.”
https://www.iea.org/reports/what-next-for-the…

Executive summary – What Next for the Global Car Industry – Analysis - IEA
What Next for the Global Car Industry - Analysis and key findings. A report by the International Energy Agency.

Today I discovered the #IPv6 Global Statistics Dashboard - "Comprehensive analysis of worldwide IPv6 adoption and BGP routing data with monthly data updates"
https://stats.ipv6.army/
hat tip

Dataminr to acquire cybersecurity firm ThreatConnect for $290 million
https://cyberscoop.com/dataminr-threatconnect-acquisition/

Dataminr to acquire cybersecurity firm ThreatConnect for $290 million
Dataminr, a New York-based company specializing in real-time threat intelligence, announced plans Tuesday to acquire ThreatConnect, a cybersecurity threat intelligence provider, for $290 million. The acquisition will combine Dataminr’s AI-powered analysis of public data with ThreatConnect’s internal threat management capabilities, creating what the companies describe as “Client-Tailored intelligence” that adapts to individual customer needs. The […]

Synergizing Static Analysis with Large Language Models for Vulnerability Discovery and beyond
Vaibhav Agrawal, Kiarash Ahi
https://arxiv.org/abs/2509.15433 https://

Synergizing Static Analysis with Large Language Models for Vulnerability Discovery and beyond
This report examines the synergy between Large Language Models (LLMs) and Static Application Security Testing (SAST) to improve vulnerability discovery. Traditional SAST tools, while effective for proactive security, are limited by high false-positive rates and a lack of contextual understanding. Conversely, LLMs excel at code analysis and pattern recognition but can be prone to inconsistencies and hallucinations. By integrating these two technologies, a more intelligent and efficient system is…

Failure Modes and Effects Analysis: An Experience from the E-Bike Domain
Andrea Bombarda, Federico Conti, Marcello Minervini, Aurora Zanenga, Claudio Menghi
https://arxiv.org/abs/2509.15893

Failure Modes and Effects Analysis: An Experience from the E-Bike Domain
Software failures can have catastrophic and costly consequences. Functional Failure Mode and Effects Analysis (FMEA) is a standard technique used within Cyber-Physical Systems (CPS) to identify software failures and assess their consequences. Simulation-driven approaches have recently been shown to be effective in supporting FMEA. However, industries need evidence of the effectiveness of these approaches to increase practical adoption. This industrial paper presents our experience with using FM…

The best study, by far, of paracetamol / Tylenol in pregnancy is open access. There is no sign of any harm, Trump and RFK Jr are talking through their ****. You can read the paper at https://jamanetwork.com/journals/jama/fullarticle/2817406

Buzz: Omarion Hampton trending up and more notes from Week 16 https://www.espn.com/fantasy/football/story/_/id/40699880/fantasy-football-injuries-position-battles-nfl-news-analysis

Trump is taking the 'imperial presidency' to extremes Nixon only dreamed of: analysis - Alternet.org
https://www.alternet.org/trump-nixon-imperial-presidency/

Analysis: BBC license fee evasion rate hits 12.5%, costing it up to £550M; households that say they don't consume BBC content rises from 2.4M in 2021 to 3.6M (Michael Savage/The Guardian)
https://www.theguardian.com/media/2025/nov/21/bbc-los…

This is a good start but the subway should curve south down 19th Ave, meet up with Daly City BART and continue on the BART tracks down to Millbrae. That part is essential; a branch to Outer Richmond could be added later as a nice-to-have.
https://musubi3.github.io/sfmta-geary-subway…

44,000 Riders, Zero Trains: A Case for the Geary Subway
A data-driven analysis proving why the Geary corridor, with 44,000+ daily riders, is the most underserved transit route in San Francisco.

Replaced article(s) found for math.OC. https://arxiv.org/list/math.OC/new
[1/1]:
- A robust BFGS algorithm for unconstrained nonlinear optimization problems
Yaguang Yang
https://arxiv.org/abs/1212.5929
- Quantum computing and the stable set problem
Alja\v{z} Krpan, Janez Povh, Dunja Pucher
https://arxiv.org/abs/2405.12845 https://mastoxiv.page/@arXiv_mathOC_bot/112483516437815686
- Mean Field Game with Reflected Jump Diffusion Dynamics: A Linear Programming Approach
Zongxia Liang, Xiang Yu, Keyu Zhang
https://arxiv.org/abs/2508.20388 https://mastoxiv.page/@arXiv_mathOC_bot/115111048711698998
- Differential Dynamic Programming for the Optimal Control Problem with an Ellipsoidal Target Set a...
Sungjun Eom, Gyunghoon Park
https://arxiv.org/abs/2509.07546 https://mastoxiv.page/@arXiv_mathOC_bot/115179281556444440
- On the Moreau envelope properties of weakly convex functions
Marien Renaud, Arthur Leclaire, Nicolas Papadakis
https://arxiv.org/abs/2509.13960 https://mastoxiv.page/@arXiv_mathOC_bot/115224514482363803
- Automated algorithm design via Nevanlinna-Pick interpolation
Ibrahim K. Ozaslan, Tryphon T. Georgiou, Mihailo R. Jovanovic
https://arxiv.org/abs/2509.21416 https://mastoxiv.page/@arXiv_mathOC_bot/115286533597711930
- Optimal Control of a Bioeconomic Crop-Energy System with Energy Reinvestment
Othman Cherkaoui Dekkaki
https://arxiv.org/abs/2510.11381 https://mastoxiv.page/@arXiv_mathOC_bot/115372322896073250
- Point Convergence Analysis of the Accelerated Gradient Method for Multiobjective Optimization: Co...
Yingdong Yin
https://arxiv.org/abs/2510.26382 https://mastoxiv.page/@arXiv_mathOC_bot/115468018035252078
- History-Aware Adaptive High-Order Tensor Regularization
Chang He, Bo Jiang, Yuntian Jiang, Chuwen Zhang, Shuzhong Zhang
https://arxiv.org/abs/2511.05788
- Equivalence of entropy solutions and gradient flows for pressureless 1D Euler systems
Jos\'e Antonio Carrillo, Sondre Tesdal Galtung
https://arxiv.org/abs/2312.04932 https://mastoxiv.page/@arXiv_mathAP_bot/111560077272113052
- Kernel Modelling of Fading Memory Systems
Yongkang Huo, Thomas Chaffey, Rodolphe Sepulchre
https://arxiv.org/abs/2403.11945 https://mastoxiv.page/@arXiv_eessSY_bot/112121123836064435
- The Maximum Theoretical Ground Speed of the Wheeled Vehicle
Altay Zhakatayev, Mukatai Nemerebayev
https://arxiv.org/abs/2502.15341 https://mastoxiv.page/@arXiv_physicsclassph_bot/114057765769441123
- Hessian stability and convergence rates for entropic and Sinkhorn potentials via semiconcavity
Giacomo Greco, Luca Tamanini
https://arxiv.org/abs/2504.11133 https://mastoxiv.page/@arXiv_mathPR_bot/114346453424694503
- Optimizing the ground state energy of the three-dimensional magnetic Dirichlet Laplacian with con...
Matthias Baur
https://arxiv.org/abs/2504.21597 https://mastoxiv.page/@arXiv_mathph_bot/114431404740241516
- A localized consensus-based sampling algorithm
Arne Bouillon, Alexander Bodard, Panagiotis Patrinos, Dirk Nuyens, Giovanni Samaey
https://arxiv.org/abs/2505.24861 https://mastoxiv.page/@arXiv_mathNA_bot/114612580684567066
- A Novel Sliced Fused Gromov-Wasserstein Distance
Moritz Piening, Robert Beinert
https://arxiv.org/abs/2508.02364 https://mastoxiv.page/@arXiv_csLG_bot/114976243138728278
- Minimal Regret Walras Equilibria for Combinatorial Markets via Duality, Integrality, and Sensitiv...
Alo\"is Duguet, Tobias Harks, Martin Schmidt, Julian Schwarz
https://arxiv.org/abs/2511.09021 https://mastoxiv.page/@arXiv_csGT_bot/115541243299714775
toXiv_bot_toot

Analysis Plug-and-Play Methods for Imaging Inverse Problems
Edward P. Chandler, Shirin Shoushtari, Brendt Wohlberg, Ulugbek S. Kamilov
https://arxiv.org/abs/2509.15422 https://

Analysis Plug-and-Play Methods for Imaging Inverse Problems
Plug-and-Play Priors (PnP) is a popular framework for solving imaging inverse problems by integrating learned priors in the form of denoisers trained to remove Gaussian noise from images. In standard PnP methods, the denoiser is applied directly in the image domain, serving as an implicit prior on natural images. This paper considers an alternative analysis formulation of PnP, in which the prior is imposed on a transformed representation of the image, such as its gradient. Specifically, we trai…

The GJMS operators in geometry, analysis, and physics
Jeffrey S. Case, A. Rod Gover
https://arxiv.org/abs/2509.16047 https://arxiv.org/pdf/2509.16047

The GJMS operators in geometry, analysis, and physics
The GJMS operators, introduced by Graham, Jenne, Mason, and Sparling, are a family of conformally invariant linear differential operators with leading term a power of the Laplacian. These operators and their method of construction have had a major impact in geometry, analysis, and physics. We describe the GJMS operators and their construction, and briefly survey their importance and impact.

"Labour ministers met fossil fuel lobbyists 500 times in first year of power, analysis shows"
#UK #UnitedKingdom #FossilFuels

Lifting Cocycles: From Heuristic to Theory
Sigurd Gaukstad, Mathias Karsrud Nordal, Marius Thaule
https://arxiv.org/abs/2509.16102 https://arxiv.org/pdf/25…

Lifting Cocycles: From Heuristic to Theory
The circular coordinates algorithm, a key tool in topological data analysis, relies on a theoretically unvalidated lifting step to convert cocycles from a prime field to integer coefficients. We provide a rigorous analysis of this procedure, establishing a criterion for its success. We also introduce a novel algebraic method to reduce any lifted cocycle to a cocycle with winding number 1, ensuring feature correctness. These principles are extended to homology cycles, solidifying the theoretical…

Process-Driven Visual Analysis of Cybersecurity Capture the Flag Exercises
Radek O\v{s}lej\v{s}ek, Radoslav Chudovsk\'y, Martin Macak
https://arxiv.org/abs/2509.15589 https:…

Process-Driven Visual Analysis of Cybersecurity Capture the Flag Exercises
Hands-on training sessions become a standard way to develop and increase knowledge in cybersecurity. As practical cybersecurity exercises are strongly process-oriented with knowledge-intensive processes, process mining techniques and models can help enhance learning analytics tools. The design of our open-source analytical dashboard is backed by guidelines for visualizing multivariate networks complemented with temporal views and clustering. The design aligns with the requirements for post-trai…

Targeted Fine-Tuning of DNN-Based Receivers via Influence Functions
Marko Tuononen, Heikki Penttinen, Ville Hautam\"aki
https://arxiv.org/abs/2509.15950 https://

Targeted Fine-Tuning of DNN-Based Receivers via Influence Functions
We present the first use of influence functions for deep learning-based wireless receivers. Applied to DeepRx, a fully convolutional receiver, influence analysis reveals which training samples drive bit predictions, enabling targeted fine-tuning of poorly performing cases. We show that loss-relative influence with capacity-like binary cross-entropy loss and first-order updates on beneficial samples most consistently improves bit error rate toward genie-aided performance, outperforming random fi…

Mamba-2 audio captioning: design space exploration and analysis
Taehan Lee, Jaehan Jung, Hyukjun Lee
https://arxiv.org/abs/2509.15680 https://arxiv.org/pdf…

Mamba-2 audio captioning: design space exploration and analysis
We present an audio captioning model built on the Mamba-2 large language model backbone, which is a state-of-the-art (SOTA) state-space model (SSM). We systematically explore the design space: LLM sizes, LoRA ranks, and connector designs leveraging Mamba-2's linear-time complexity with respect to sequence length. Across benchmarks, our models achieve strong captioning performance compared with larger language models trained on the same dataset, despite using fewer parameters. For the first time…

Topological invariant for holographic Weyl-Nodal line coexisting semimetal
Xiantong Chen, Xuanting Ji, Ya-Wen Sun
https://arxiv.org/abs/2509.15574 https://…

Topological invariant for holographic Weyl-Nodal line coexisting semimetal
The presence of a topological phase in a topological many-body system can be distinguished through the analysis of topological invariants. In the present study, the topological invariants for the strongly coupled holographic semimetals have been systematically computed, especially focusing on the holographic Weyl-Nodal line coexisting semimetal. The topological invariants that we calculate include the Weyl charge, the topological charges for a nodal ring $ζ_0$, $ζ_1$, $ζ_2$ and an additional…

FOX Sports Stories - Sports News, Articles and Analysis https://www.foxsports.com/stories

Numerical Analysis of Simultaneous Reconstruction of Initial Condition and Potential in Subdiffusion
Xu Wu, Jiang Yang, Zhi Zhou
https://arxiv.org/abs/2509.15633 https://…

Numerical Analysis of Simultaneous Reconstruction of Initial Condition and Potential in Subdiffusion
This paper investigates the simultaneous identification of a spatially dependent potential and the initial condition in a subdiffusion model based on two terminal observations. The existence, uniqueness, and conditional stability of the inverse problem are established under weak regularity assumptions through a constructive fixed-point iteration approach. The theoretical analysis further inspires the development of an easy-to-implement iterative algorithm. A fully discrete scheme is then propos…

WiFiSim: Simulating WiFi Probe Requests via AOSP Analysis and Device Behavior Modeling
Lifei Hao, Yue Cheng, Min Wang, Bing Jia, Baoqi Huang
https://arxiv.org/abs/2509.15501 htt…

WiFiSim: Simulating WiFi Probe Requests via AOSP Analysis and Device Behavior Modeling
WiFi probe request (PR) frames encode fine-grained device interactions and serve as a critical basis for mobility and crowd analytics. However, pervasive MAC address randomization and the scarcity of labeled datasets hinder progress in PR-based studies. We introduce WiFiSim, a simulation framework that reconstructs PR generation through Android Open Source Project (AOSP) protocol analysis and finite-state device behavior modeling. WiFiSim identifies the key determinants of PR structure and timi…

Classical first passage problems for $p$-adic stochastic processes
A. Kh. Bikulov, A. P. Zubarev
https://arxiv.org/abs/2509.16096 https://arxiv.org/pdf/250…

Classical first passage problems for $p$-adic stochastic processes
In this paper we present a comprehensive analysis of the solution of the classical problem of finding the distribution density of a random variable - the first passage time to a given domain by the trajectory of a $p$-adic Markov stochastic process with probability density function satisfying the solution of the Cauchy problem for the Vladimirov equation (a $p$-adic analog of the Kolmogorov-Feller equation with the kernel of the Vladimirov operator) with uniform initial distribution in the unit…

❌ Ethics
❌ A moral leg to stand on
✅ Most deadly military in the world
https://edition.cnn.com/2025/11/18/media/trump-mbs-saudi-prince-abc-mary-bruce-oval-office

Analysis: Trump’s anti-press outburst hits differently with a Saudi prince by his side
President Trump frequently demonstrates his disdain for journalists. He expresses his admiration for authoritarians almost as often. Tuesday showed how intertwined those two instincts really are.

Blow-up analysis for the generalized hyperelastic rod equation
Shaojie Yang
https://arxiv.org/abs/2509.15960 https://arxiv.org/pdf/2509.15960

Blow-up analysis for the generalized hyperelastic rod equation
We investigate the blow-up for the generalized hyperelastic rod equation, which includes the Camassa-Holm equation, the the hyperelastic-rod wave equation, and the rotation-Camassa-Holm equation as special cases. We establish a new local-in-space blow-up criterion under certain initial data. Our local-in-space blow-up condition on the initial data is purely local in the space variable.

Blind Source Separation of Radar Signals in Time Domain Using Deep Learning
Sven Hinderer
https://arxiv.org/abs/2509.15603 https://arxiv.org/pdf/2509.15603…

Blind Source Separation of Radar Signals in Time Domain Using Deep Learning
Identification and further analysis of radar emitters in a contested environment requires detection and separation of incoming signals. If they arrive from the same direction and at similar frequencies, deinterleaving them remains challenging. A solution to overcome this limitation becomes increasingly important with the advancement of emitter capabilities. We propose treating the problem as blind source separation in time domain and apply supervisedly trained neural networks to extract the und…

Strategic Analysis of Just-In-Time Liquidity Provision in Concentrated Liquidity Market Makers
Bruno Llacer Trotti, Weizhao Tang, Rachid El-Azouzi, Giulia Fanti, Daniel Sadoc Menasche
https://arxiv.org/abs/2509.16157

Strategic Analysis of Just-In-Time Liquidity Provision in Concentrated Liquidity Market Makers
Liquidity providers (LPs) are essential figures in the operation of automated market makers (AMMs); in exchange for transaction fees, LPs lend the liquidity that allows AMMs to operate. While many prior works have studied the incentive structures of LPs in general, we currently lack a principled understanding of a special class of LPs known as Just-In-Time (JIT) LPs. These are strategic agents who momentarily supply liquidity for a single swap, in an attempt to extract disproportionately high f…

Theory space and stability analysis of General Relativistic cosmological solutions in modified gravity
Saikat Chakraborty, Piyabut Burikham
https://arxiv.org/abs/2509.15762 http…

Theory space and stability analysis of General Relativistic cosmological solutions in modified gravity
Some aspects of two General Relativistic cosmological solutions, an exact $Λ$CDM-like cosmological solution $j=1$ ($j$ is cosmographic jerk parameter), and a specifically designed toy cosmological solution $j=1+3\varepsilon(q-1/2)$ ($q$ is cosmographic deceleration parameter, $0<|\varepsilon|<1$) that is capable of accommodating a phantom crossing scenario as suggested by DESI DR2, are studied within the context of $f(R)$ gravity, by portraying them as a \emph{flow} in the 2-dimensio…

Transfer learning under latent space model
Kuangnan Fang, Ruixuan Qin, Xinyan Fan
https://arxiv.org/abs/2509.15797 https://arxiv.org/pdf/2509.15797

Transfer learning under latent space model
Latent space model plays a crucial role in network analysis, and accurate estimation of latent variables is essential for downstream tasks such as link prediction. However, the large number of parameters to be estimated presents a challenge, especially when the latent space dimension is not exceptionally small. In this paper, we propose a transfer learning method that leverages information from networks with latent variables similar to those in the target network, thereby improving the estimati…

DistillMatch: Leveraging Knowledge Distillation from Vision Foundation Model for Multimodal Image Matching
Meng Yang, Fan Fan, Zizhuo Li, Songchu Deng, Yong Ma, Jiayi Ma
https://arxiv.org/abs/2509.16017

DistillMatch: Leveraging Knowledge Distillation from Vision Foundation Model for Multimodal Image Matching
Multimodal image matching seeks pixel-level correspondences between images of different modalities, crucial for cross-modal perception, fusion and analysis. However, the significant appearance differences between modalities make this task challenging. Due to the scarcity of high-quality annotated datasets, existing deep learning methods that extract modality-common features for matching perform poorly and lack adaptability to diverse scenarios. Vision Foundation Model (VFM), trained on large-sc…

Analyzing and improving a classical Betti number estimation algorithm
Julien Sorci
https://arxiv.org/abs/2509.16171 https://arxiv.org/pdf/2509.16171…

Analyzing and improving a classical Betti number estimation algorithm
Recently, a classical algorithm for estimating the normalized Betti number of an arbitrary simplicial complex was proposed. Motivated by a quantum algorithm with a similar Monte Carlo structure and improved sample complexity, we give a more in-depth analysis of the sample complexity of this classical algorithm. To this end, we present bounds for the variance of the estimators used in the classical algorithm and show that the variance depends on certain combinatorial properties of the underlying…

Cowboys asking Raiders about trade for Maxx Crosby: What could that trade even look like? https://raiderswire.usatoday.com/story/sports/nfl/raiders/2025/10/21/dallas-cowboys-inquire-las-v…

ExoIris: fast exoplanet transmission spectroscopy in Python
Hannu Parviainen
https://arxiv.org/abs/2509.15913 https://arxiv.org/pdf/2509.15913

ExoIris: fast exoplanet transmission spectroscopy in Python
I present ExoIris, a user-friendly Python package for exoplanet transmission and emission spectroscopy. Unlike existing tools, ExoIris models two-dimensional spectrophotometric transit time series directly and supports the joint analysis of multiple datasets obtained with different instruments and at different epochs. These features enable a self-consistent estimation of both wavelength-independent and wavelength-dependent parameters. They offer a more robust workflow compared to the commonly u…

#Blakes7 Series A, Episode 03 - Cygnus Alpha
KARA: Gan.
[Gan steps back. The spear misses him and hits Kara. The fight continues. Blake is struggling with one of the priests. Vila stabs the priest.]
BLAKE: Don't just stand there Vila. Run.
h…

Threat intel company Dataminr plans to acquire cybersecurity threat intel provider ThreatConnect for $290M; Dataminr raised $85M in convertible funding in March (Greg Otto/CyberScoop)
https://cyberscoop.com/dataminr-threatconnect-acquisition/

Dataminr to acquire cybersecurity firm ThreatConnect for $290 million
Dataminr, a New York-based company specializing in real-time threat intelligence, announced plans Tuesday to acquire ThreatConnect, a cybersecurity threat intelligence provider, for $290 million. The acquisition will combine Dataminr’s AI-powered analysis of public data with ThreatConnect’s internal threat management capabilities, creating what the companies describe as “Client-Tailored intelligence” that adapts to individual customer needs. The […]

Optimization techniques for SQL ML queries: A performance analysis of real-time feature computation in OpenMLDB
Mashkhal A. Sidiq, Aras A. Salih, Samrand M. Hassan
https://arxiv.org/abs/2509.15529

Optimization techniques for SQL+ML queries: A performance analysis of real-time feature computation in OpenMLDB
In this study, we optimize SQL+ML queries on top of OpenMLDB, an open-source database that seamlessly integrates offline and online feature computations. The work used feature-rich synthetic dataset experiments in Docker, which acted like production environments that processed 100 to 500 records per batch and 6 to 12 requests per batch in parallel. Efforts have been concentrated in the areas of better query plans, cached execution plans, parallel processing, and resource management. The experim…

Interval Estimation for Bounded Jacobian Nonlinear Systems by Zonotope Analysis
Chi Xu, Zhenhua Wang, Nacim Meslem, Tarek Raissi, Yacine Chitour
https://arxiv.org/abs/2509.16000

Interval Estimation for Bounded Jacobian Nonlinear Systems by Zonotope Analysis
This paper introduces an interval state estimation method for discrete-time bounded Jacobian nonlinear systems allying Luenberger-like observer with zonotope set computation. First, a robust observer is designed to obtain bounded-error and point-estimation with a peak-to-peak performance. This allows one to cope with the unknown but bounded process disturbance and measurement noise. Then, based on the stable dynamics of the observation error, tight interval estimation is obtained by applying zo…

A more efficient method for large-sample model-free feature screening via multi-armed bandits
Xiaxue Ouyang, Xinlai Kang, Mengyu Li, Zhenxing Dou, Jun Yu, Cheng Meng
https://arxiv.org/abs/2509.16085

A more efficient method for large-sample model-free feature screening via multi-armed bandits
We consider the model-free feature screening in large-scale ultrahigh-dimensional data analysis. Existing feature screening methods often face substantial computational challenges when dealing with large sample sizes. To alleviate the computational burden, we propose a rank-based model-free sure independence screening method (CR-SIS) and its efficient variant, BanditCR-SIS. The CR-SIS method, based on Chatterjee's rank correlation, is as straightforward to implement as the sure independence scr…

Good analysis, my initial personal take was too pessimistic I think.
The EU's decision to secure the funding of Ukraine's war for the next two years is one of the most important developments of the entire year. It is a disaster for Russia, and it shows what Europe exerting itself as a strategic actor looks like in practice.
https://

Covariance matrices of volume power functionals of random simplicial complexes -- an asymptotic analysis
Mandala von Westenholz
https://arxiv.org/abs/2509.15790 https://

Covariance matrices of volume power functionals of random simplicial complexes -- an asymptotic analysis
This work analyzes and compares the asymptotic properties of the covariance matrices of vectors of volume power functionals of random Vietoris-Rips complexes, as the intensity of the underlying homogeneous Poisson point process grows. Several key results are established which, in particular, generalize well-known facts on random graphs. Findings regarding rank, definiteness, determinant, eigenspaces, and related decompositions are presented within three distinct regimes. Moreover, we derive sto…

Silksong is very well designed. Even though I'm not into metroidvanias, I've found its analysis very interesting.
BTW, metroidvania without platforming and combat would be… the classic point and click adventure?
https://nebula.tv/videos/gmtk-the-world-d…

Game Maker's Toolkit — The World Design of Hollow Knight: Silksong
Team Cherry returns to the world of Hollow Knight with Silksong - a new game, with a new character, in a whole new world. In this episode of Boss Keys let's look at how the developers designed Pharloom and the Citadel.

Efficient Heuristic Algorithms for Interleaving Distance between Merge Trees
Elena Farahbakhsh Touli, Talha Bin Masood
https://arxiv.org/abs/2509.15687 https://

Efficient Heuristic Algorithms for Interleaving Distance between Merge Trees
Merge trees are fundamental structures in topological data analysis. Interleaving distance is a widely accepted metric for comparing merge trees, with applications in visualization and scientific computing. While a greedy algorithm exists for finding the interleaving distance between labeled merge trees with overlapping labels, computing the interleaving distance between unlabeled trees or labeled trees with disjoint labels remains a significant challenge. In this work, we introduce a novel h…

from my link log —
Attempting cross translation unit taint analysis for Firefox.
https://attackanddefense.dev/2025/12/16/attempting-cross-translation-unit-static-analysis.html
saved 2025-12-17

Unveiling Entanglement's Metrological Power: Empirical Modeling of Optimal States in Quantum Metrics
Volkan Erol
https://arxiv.org/abs/2509.15954 https://

Unveiling Entanglement's Metrological Power: Empirical Modeling of Optimal States in Quantum Metrics
Using extensive numerical analysis of 20,000 randomly generated two-qubit states, we provide a quantitative analysis of the connection between entanglement measures and Maximized Quantum Fisher Information (MQFI). Our systematic study shows strong empirical relationships between the metrological capacity of quantum states and three different entanglement measures: concurrence, negativity, and relative entropy of entanglement. We show that optimization over local unitary transformations produces…

Buzz: Evans breaks collarbone, Gibbs runs wild, Seahawks split carries on MNF https://www.espn.com/fantasy/football/story/_/id/40699880/fantasy-football-injuries-position-battles-nfl-news-analysis

Kinematical analysis of PNe with high ADF: Hf 2-2 and M 1-42
Lesly Casta\~neda-Carlos, Michael G. Richer, Silvia Torres-Peimbert, Anabel Arrieta, Lorena Arias
https://arxiv.org/abs/2509.16201

Kinematical analysis of PNe with high ADF: Hf 2-2 and M 1-42
We use deep Echelle spectroscopy of the planetary nebulae Hf 2-2 and M1-42 to study the characteristics of the plasma that gives rise to their high abundance discrepancy factors (70 and 20, respectively). We analyze position-velocity diagrams for forbidden and permitted lines (92 and 93 lines in Hf 2-2 and M 1-42, respectively), to compare their kinematic behaviour and to determine the physical characteristics of the emitting plasma. We confirm that there are two plasma components in both nebul…

Numerical Study on Jet-Like Outwash Induced by Multi-Rotor eVTOLs and Engineering Approaches for Outwash Mitigation
Yen-Chen Chen, Chih-Che Chueh
https://arxiv.org/abs/2509.15559

Numerical Study on Jet-Like Outwash Induced by Multi-Rotor eVTOLs and Engineering Approaches for Outwash Mitigation
This study presents a comprehensive computational analysis of eVTOL outwash phenomena, emphasizing the impact of rotor geometric configuration and alignment on hazardous airflow patterns at vertiports. Utilizing nondimensional Reynolds-averaged Navier-Stokes (RANS) equations and the k-omega SST turbulence model in OpenFOAM, the research characterizes jet-like outwash behaviors across multi-rotor eVTOL architectures. Based on this computational framework, the results highlight how propeller coun…

Analysis: agencies have hired hundreds of thousands of "chatters" to impersonate 4M OnlyFans creators, as many Filipino chatters struggle with mental health (Michael Beltran/Nikkei Asia)
https://asia.nikkei.com/spotlight/soci

Filipino OnlyFans 'chatters' struggle with mental health, job security
Unrelenting, desensitizing work, lack of protections among biggest complaints

Gaza shelters crisis: 288,000 Palestinian families left in dire conditions after tents flood
https://www.thecanary.co/global/world-analysis/2025/11/20/gaza-shelters-288k-palestinian-families/

Post crisis Strategies: Antifragility Principles as Catalysts for Urban Evolution Towards Sustainability
Joseph Uguet, Nicola Tollin, Jordi Morat\'o
https://arxiv.org/abs/2509.15245

Post crisis Strategies: Antifragility Principles as Catalysts for Urban Evolution Towards Sustainability
Urban crises reveal the true essence of cities: their ability to either withstand disorder or collapse under its pressure. This article explores how antifragility principles can transforms urban disruption into levers for reinforcement and innovation. While resilience seeks to restore a lost balance, antifragility goes further: it pushes cities to improve through shocks. Across a critical analysis of post-crisis strategies and the identification of fifteen fundamental theoretical principles, th…

Replaced article(s) found for cs.CE. https://arxiv.org/list/cs.CE/new
[1/1]:
- A comparative analysis for different finite element types in strain-gradient elasticity simulatio...
B. Cagri Sarar, M. Erden Yildizdag, Francesco Fabbrocino, B. Emek Abali

Inference Attacks on Encrypted Online Voting via Traffic Analysis
Anastasiia Belousova, Francesco Marchiori, Mauro Conti
https://arxiv.org/abs/2509.15694 https://

Inference Attacks on Encrypted Online Voting via Traffic Analysis
Online voting enables individuals to participate in elections remotely, offering greater efficiency and accessibility in both governmental and organizational settings. As this method gains popularity, ensuring the security of online voting systems becomes increasingly vital, as the systems supporting it must satisfy a demanding set of security requirements. Most research in this area emphasizes the design and verification of cryptographic protocols to protect voter integrity and system confiden…

Replaced article(s) found for eess.SY. https://arxiv.org/list/eess.SY/new
[1/1]:
- Reachability and Controllability Analysis of the State Covariance for Linear Stochastic Systems
Fengjiao Liu, Panagiotis Tsiotras

Replaced article(s) found for math.FA. https://arxiv.org/list/math.FA/new
[1/1]:
- The Topology of the Unitary Dual of Crystallography Groups
Frankie Chan, Ellen Weld

Trump's response to 'No Kings' marches only proved the protesters' point (Stephen Collinson/CNN)
https://www.cnn.com/2025/10/20/politics/trump-no-kings-protests-vance-cia-analysis
http://www.memeorandum.com/251020/p5#a251020p5

Whisker-Like Sensors: Effective Design, Pauline Pounds, Manivannan M
Prasanna Kumar Routray, Debadutta Subudhi
https://arxiv.org/abs/2509.15925 https://arx…

Whisker-Like Sensors: Effective Design, Pauline Pounds, Manivannan M
Bio-inspired whisker sensors are employed in diverse applications such as fluid-flow sensing, texture analysis, and environmental exploration. However, existing designs often face challenges related to durability, fabrication complexity, and response consistency. To address these issues, we propose a modular architecture that decomposes whisker sensors into five functional components: the whisker element (WE), compliant element (CE), sensing element (SE), support structure (SS), and data acquis…

When Bugs Linger: A Study of Anomalous Resolution Time Outliers and Their Themes
Avinash Patil
https://arxiv.org/abs/2509.16140 https://arxiv.org/pdf/2509.…

When Bugs Linger: A Study of Anomalous Resolution Time Outliers and Their Themes
Efficient bug resolution is critical for maintaining software quality and user satisfaction. However, specific bug reports experience unusually long resolution times, which may indicate underlying process inefficiencies or complex issues. This study presents a comprehensive analysis of bug resolution anomalies across seven prominent open-source repositories: Cassandra, Firefox, Hadoop, HBase, SeaMonkey, Spark, and Thunderbird. Utilizing statistical methods such as Z-score and Interquartile Rang…

Predicting the descent into extremism and terrorism
R. O. Lane, W. J. Holmes, C. J. Taylor, H. M. State-Davey, A. J. Wragge
https://arxiv.org/abs/2509.16014 https://

Predicting the descent into extremism and terrorism
This paper proposes an approach for automatically analysing and tracking statements in material gathered online and detecting whether the authors of the statements are likely to be involved in extremism or terrorism. The proposed system comprises: online collation of statements that are then encoded in a form amenable to machine learning (ML), an ML component to classify the encoded text, a tracker, and a visualisation system for analysis of results. The detection and tracking concept has been …

"Heat-pump homes put less strain on grid than expected, study shows"
#HeatPumps #Energy

Numerical Discretization Methods for Seismic Response Analysis of SDOF Systems: A Unified Perspective
Farid Ghahari
https://arxiv.org/abs/2509.15474 https://

Numerical Discretization Methods for Seismic Response Analysis of SDOF Systems: A Unified Perspective
This paper reviews the most commonly used numerical methods for solving the differential equation governing the dynamic response of linear elastic Single-Degree-of-Freedom (SDOF) systems. For more than 80 years since its introduction, the response spectrum has remained the cornerstone of every seismic design code. The second-order differential equation that governs the dynamic response of a linear elastic SDOF system must be solved numerically to generate such response spectra. Although only on…

Crosslisted article(s) found for math.OC. https://arxiv.org/list/math.OC/new
[1/1]:
- Optimal control of Volterra integral diffusions and application to contract theory
Dylan Possama\"i, Mehdi Talbi
https://arxiv.org/abs/2511.09701 https://mastoxiv.page/@arXiv_mathPR_bot/115547093766733637
- Generalized infinite dimensional Alpha-Procrustes based geometries
Salvish Goomanee, Andi Han, Pratik Jawanpuria, Bamdev Mishra
https://arxiv.org/abs/2511.09801 https://mastoxiv.page/@arXiv_statML_bot/115547135711272091
- Sample Complexity of Quadratically Regularized Optimal Transport
Alberto Gonz\'alez-Sanz, Eustasio del Barrio, Marcel Nutz
https://arxiv.org/abs/2511.09807 https://mastoxiv.page/@arXiv_mathST_bot/115546975796760368
- On the Convergence of Overparameterized Problems: Inherent Properties of the Compositional Struct...
Arthur Castello Branco de Oliveira, Dhruv Jatkar, Eduardo Sontag
https://arxiv.org/abs/2511.09810 https://mastoxiv.page/@arXiv_csLG_bot/115547543989283588
- Implicit Multiple Tensor Decomposition
Kunjing Yang, Libin Zheng, Minru Bai
https://arxiv.org/abs/2511.09916 https://mastoxiv.page/@arXiv_mathNA_bot/115547169767663335
- Theoretical Analysis of Resource-Induced Phase Transitions in Estimation Strategies
Takehiro Tottori, Tetsuya J. Kobayashi
https://arxiv.org/abs/2511.10184 https://mastoxiv.page/@arXiv_physicsbioph_bot/115546979073652600
- Zeroes and Extrema of Functions via Random Measures
Athanasios Christou Micheas
https://arxiv.org/abs/2511.10293 https://mastoxiv.page/@arXiv_statME_bot/115547493525198835
- Operator Models for Continuous-Time Offline Reinforcement Learning
Nicolas Hoischen, Petar Bevanda, Max Beier, Stefan Sosnowski, Boris Houska, Sandra Hirche
https://arxiv.org/abs/2511.10383 https://mastoxiv.page/@arXiv_statML_bot/115547254989932993
- On topological properties of closed attractors
Wouter Jongeneel
https://arxiv.org/abs/2511.10429 https://mastoxiv.page/@arXiv_mathDS_bot/115547276594491411
- Learning parameter-dependent shear viscosity from data, with application to sea and land ice
Gonzalo G. de Diego, Georg Stadler
https://arxiv.org/abs/2511.10452 https://mastoxiv.page/@arXiv_mathNA_bot/115547323782478749
- Formal Verification of Control Lyapunov-Barrier Functions for Safe Stabilization with Bounded Con...
Jun Liu
https://arxiv.org/abs/2511.10510 https://mastoxiv.page/@arXiv_eessSY_bot/115547429321496393
- Direction-of-Arrival and Noise Covariance Matrix joint estimation for beamforming
Vitor Gelsleichter Probst Curtarelli
https://arxiv.org/abs/2511.10639 https://mastoxiv.page/@arXiv_eessAS_bot/115547188796143762
toXiv_bot_toot

What has Brian Schottenheimer 'jacked' about future of Cowboys' defense https://www.nytimes.com/athletic/6735556/2025/10/21/cowboys-defense-blitzing-man-coverage-analysis/

Impact of Single Rotations and Entanglement Topologies in Quantum Neural Networks
Marco Mordacci, Michele Amoretti
https://arxiv.org/abs/2509.15722 https://

Impact of Single Rotations and Entanglement Topologies in Quantum Neural Networks
In this work, an analysis of the performance of different Variational Quantum Circuits is presented, investigating how it changes with respect to entanglement topology, adopted gates, and Quantum Machine Learning tasks to be performed. The objective of the analysis is to identify the optimal way to construct circuits for Quantum Neural Networks. In the presented experiments, two types of circuits are used: one with alternating layers of rotations and entanglement, and the other, similar to the …

Buzz: Mahomes' return to excellence, Ferguson's rise and why to trade for McMillan https://www.espn.com/fantasy/football/story/_/id/40699880/fantasy-football-injuries-position-battles-nfl-news-analysis

Affective Air Quality Dataset: Personal Chemical Emissions from Emotional Videos
Jas Brooks, Javier Hernandez, Mary Czerwinski, Judith Amores
https://arxiv.org/abs/2509.15774 ht…

Affective Air Quality Dataset: Personal Chemical Emissions from Emotional Videos
Inspired by the role of chemosignals in conveying emotional states, this paper introduces the Affective Air Quality (AAQ) dataset, a novel dataset collected to explore the potential of volatile odor compound and gas sensor data for non-contact emotion detection. This dataset bridges the gap between the realms of breath \& body odor emission (personal chemical emissions) analysis and established practices in affective computing. Comprising 4-channel gas sensor data from 23 participants at two di…

Emotion-Aware Speech Generation with Character-Specific Voices for Comics
Zhiwen Qian, Jinhua Liang, Huan Zhang
https://arxiv.org/abs/2509.15253 https://ar…

Emotion-Aware Speech Generation with Character-Specific Voices for Comics
This paper presents an end-to-end pipeline for generating character-specific, emotion-aware speech from comics. The proposed system takes full comic volumes as input and produces speech aligned with each character's dialogue and emotional state. An image processing module performs character detection, text recognition, and emotion intensity recognition. A large language model performs dialogue attribution and emotion analysis by integrating visual information with the evolving plot context. Spe…

Strong uniform consistency of nonparametric estimation for quantile-based entropy function under length-biased sampling
Vaishnavi Pavithradas, Rajesh G
https://arxiv.org/abs/2509.15734

Strong uniform consistency of nonparametric estimation for quantile-based entropy function under length-biased sampling
For studies in reliability, biometry, and survival analysis, the length-biased distribution is often well-suited for certain natural sampling plans. In this paper, we study the strong uniform consistency of two nonparametric estimators for the quantile-based Shannon entropy in the context of length-biased data. A simulation study is conducted to examine the behavior of the estimators in finite samples, followed by a comparative analysis with existing estimators. Furthermore, the usefulness of t…

BaseReward: A Strong Baseline for Multimodal Reward Model
Yi-Fan Zhang, Haihua Yang, Huanyu Zhang, Yang Shi, Zezhou Chen, Haochen Tian, Chaoyou Fu, Haotian Wang, Kai Wu, Bo Cui, Xu Wang, Jianfei Pan, Haotian Wang, Zhang Zhang, Liang Wang
https://arxiv.org/abs/2509.16127

BaseReward: A Strong Baseline for Multimodal Reward Model
The rapid advancement of Multimodal Large Language Models (MLLMs) has made aligning them with human preferences a critical challenge. Reward Models (RMs) are a core technology for achieving this goal, but a systematic guide for building state-of-the-art Multimodal Reward Models (MRMs) is currently lacking in both academia and industry. Through exhaustive experimental analysis, this paper aims to provide a clear ``recipe'' for constructing high-performance MRMs. We systematically investigate eve…

On Tent Spaces for the Gaussian Measure
Liliana Forzani, Roberto Scotto, Wilfredo Urbina
https://arxiv.org/abs/2509.16148 https://arxiv.org/pdf/2509.16148

On Tent Spaces for the Gaussian Measure
Following the scheme of tent spaces in classical harmonic analysis developed by R. Coifman, Y. Meyer, and E. Stein in \cite{cms}, we succeed in doing so for the Gaussian setting. In \cite{MNP}, part of this theory (an atomic decomposition) is developed for a specific tent space where functions are defined just in a proper subset of $\mathbb{R}^{n+1}_+,$ and without the use of an area function. In the present paper, using a variation of the area function considered in \cite{FSU}, we define the G…

Graph-Based Approximate Nearest Neighbor Search Revisited: Theoretical Analysis and Optimization
Xinran Ma, Zhaoqi Zhou, Chuan Zhou, Qi Meng, Zaijiu Shang, Guoliang Li, Zhiming Ma
https://arxiv.org/abs/2509.15531

Graph-Based Approximate Nearest Neighbor Search Revisited: Theoretical Analysis and Optimization
Graph-based approaches to approximate nearest neighbor search (ANNS) have achieved remarkable success in enabling fast, high-recall retrieval on billion-scale vector datasets. Among them, the Sparse Neighborhood Graph (SNG) has emerged as a widely adopted graph structure due to its superior search performance. However, the theoretical understanding of SNG remains limited, leading to reliance on heuristic-based and often suboptimal truncation strategies. In this work, we aim to bridge the gap be…

Sharpness of the phase transition for constrained-degree percolation
Ivailo Hartarsky, Roger W. C. Silva
https://arxiv.org/abs/2509.16162 https://arxiv.org…

Sharpness of the phase transition for constrained-degree percolation
We consider constrained-degree percolation on the hypercubic lattice. Initially, all edges are closed, and each edge independently attempts to open at a uniformly distributed random time; the attempt succeeds if, at that instant, both end-vertices have degrees strictly less than a prescribed parameter. The absence of the FKG inequality and the finite energy property, as well as the infinite range of dependency, make the rigorous analysis of the model particularly challenging. In this work, we s…

Replaced article(s) found for math.AT. https://arxiv.org/list/math.AT/new
[1/1]:
- Fuzzy simplicial sets and their application to geometric data analysis
Barth, Fahimi, Joharinad, Jost, Keck, Mikhail

FMD-TransUNet: Abdominal Multi-Organ Segmentation Based on Frequency Domain Multi-Axis Representation Learning and Dual Attention Mechanisms
Fang Lu, Jingyu Xu, Qinxiu Sun, Qiong Lou
https://arxiv.org/abs/2509.16044

FMD-TransUNet: Abdominal Multi-Organ Segmentation Based on Frequency Domain Multi-Axis Representation Learning and Dual Attention Mechanisms
Accurate abdominal multi-organ segmentation is critical for clinical applications. Although numerous deep learning-based automatic segmentation methods have been developed, they still struggle to segment small, irregular, or anatomically complex organs. Moreover, most current methods focus on spatial-domain analysis, often overlooking the synergistic potential of frequency-domain representations. To address these limitations, we propose a novel framework named FMD-TransUNet for precise abdomina…

Adversarially Robust Assembly Language Model for Packed Executables Detection
Shijia Li, Jiang Ming, Lanqing Liu, Longwei Yang, Ni Zhang, Chunfu Jia
https://arxiv.org/abs/2509.15499

Adversarially Robust Assembly Language Model for Packed Executables Detection
Detecting packed executables is a critical component of large-scale malware analysis and antivirus engine workflows, as it identifies samples that warrant computationally intensive dynamic unpacking to reveal concealed malicious behavior. Traditionally, packer detection techniques have relied on empirical features, such as high entropy or specific binary patterns. However, these empirical, feature-based methods are increasingly vulnerable to evasion by adversarial samples or unknown packers (e.…

An ex-Pentagon press corps member says Pentagon day pass requests now require an hour-by-hour activity summary and a list of people they plan to speak to (Ivan L. Nagy/Columbia Journalism Review)
https://www.cjr.org/analysis/pentagon-pres…

Yes, you there, in the front, in the red hat!
While veteran national security reporters can’t get their calls answered, members of the new, MAGA-friendly press corps have a hotline to the Department of War.

Radiocarbon analysis of turfgrasses can help cities measure greenhouse gas emissions
https://phys.org/news/2025-11-radiocarbon-analysis-turfgrasses-cities-greenhouse.html

Radiocarbon analysis of turfgrasses can help cities measure greenhouse gas emissions
Cities around the world are working to limit emissions of climate-warming greenhouse gases, but there have been few ways of measuring whether those gases are actually decreasing in any given municipality. In new research, University of California, Irvine scientists have created an effective method to measure greenhouse gas emissions around cities—something that can help local governments gauge the effectiveness of their emission-curbing programs.

A multi-temporal multi-spectral attention-augmented deep convolution neural network with contrastive learning for crop yield prediction
Shalini Dangi, Surya Karthikeya Mullapudi, Chandravardhan Singh Raghaw, Shahid Shafi Dar, Mohammad Zia Ur Rehman, Nagendra Kumar
https://arxiv.org/abs/2509.15966

A multi-temporal multi-spectral attention-augmented deep convolution neural network with contrastive learning for crop yield prediction
Precise yield prediction is essential for agricultural sustainability and food security. However, climate change complicates accurate yield prediction by affecting major factors such as weather conditions, soil fertility, and farm management systems. Advances in technology have played an essential role in overcoming these challenges by leveraging satellite monitoring and data analysis for precise yield estimation. Current methods rely on spatio-temporal data for predicting crop yield, but they …

Static AdS Black Holes Surrounded by Strings and Quintessence-like Field within Rastall Gravity Framework
Allan. R. P. Moreira, Faizuddin Ahmed, Abdelmalek Bouzenada
https://arxiv.org/abs/2509.15274

Static AdS Black Holes Surrounded by Strings and Quintessence-like Field within Rastall Gravity Framework
In this work, we tested the physical properties of Rastall black holes in the presence of string clouds and quintessence. The modified spacetime geometry arising from the Rastall framework is first established, providing the basis for analyzing the geodesic structure. We study null geodesics in detail, testing photon trajectories, the conditions for photon spheres, BH shadows, the associated effective radial force, and the topological features of photon rings. Also, the analysis is further test…

Analysis: YouTube's top conservative podcasters drive a boom in host-read ads targeting right-wing audiences; nearly 91% of 876 episodes had political ads (Bloomberg)
https://www.bloomberg.com/graphics/2025-conservative-youtube-stars-marketing-boom/

Escaping saddle points without Lipschitz smoothness: the power of nonlinear preconditioning
Alexander Bodard, Panagiotis Patrinos
https://arxiv.org/abs/2509.15817 https://

Escaping saddle points without Lipschitz smoothness: the power of nonlinear preconditioning
We study generalized smoothness in nonconvex optimization, focusing on $(L_0, L_1)$-smoothness and anisotropic smoothness. The former was empirically derived from practical neural network training examples, while the latter arises naturally in the analysis of nonlinearly preconditioned gradient methods. We introduce a new sufficient condition that encompasses both notions, reveals their close connection, and holds in key applications such as phase retrieval and matrix factorization. Leveraging …

Sensitivity of Perron and Fiedler eigenpairs to structural perturbations of a network
Silvia Noschese, Lothar Reichel
https://arxiv.org/abs/2509.16024 https://

Sensitivity of Perron and Fiedler eigenpairs to structural perturbations of a network
One can estimate the change of the Perron and Fiedler values for a connected network when the weight of an edge is perturbed by analyzing relevant entries of the Perron and Fiedler vectors. This is helpful for identifying edges whose weight perturbation causes the largest change in the Perron and Fiedler values. It also is important to investigate the sensitivity of the Perron and Fiedler vectors to perturbations. Applications of the perturbation analysis include the identification of edges tha…

Fundamental solution and Harnack inequality for subelliptic evolution operators on Carnot groups
Giulio Pecorella, Annalaura Rebucci
https://arxiv.org/abs/2509.15982 https://

Fundamental solution and Harnack inequality for subelliptic evolution operators on Carnot groups
In this paper we study regularity properties of a class of subelliptic evolution operators. We first prove the existence of the fundamental solution by means of Levi's parametrix method, establishing also several key properties. We then employ these results, together with some mean value formulas, to prove a maximum principle and an invariant Harnack inequality for the classical solutions to the equations under study. Our analysis critically relies on the Carnot Caratheodory geometry naturally …

Contrastive Learning with Spectrum Information Augmentation in Abnormal Sound Detection
Xinxin Meng, Jiangtao Guo, Yunxiang Zhang, Shun Huang
https://arxiv.org/abs/2509.15570 ht…

Contrastive Learning with Spectrum Information Augmentation in Abnormal Sound Detection
The outlier exposure method is an effective approach to address the unsupervised anomaly sound detection problem. The key focus of this method is how to make the model learn the distribution space of normal data. Based on biological perception and data analysis, it is found that anomalous audio and noise often have higher frequencies. Therefore, we propose a data augmentation method for high-frequency information in contrastive learning. This enables the model to pay more attention to the low-f…

"France’s birds start to show signs of recovery after bee-harming pesticide ban"
#France #Pesticides #Bees

Week 16 inactives: Status of Tee Higgins, Marvin Harrison Jr. and others https://www.espn.com/fantasy/football/story/_/page/FFSundayInactives-47358166/nfl-fantasy-football-espn-injured-inac…

A look at Meta's 2GW Hyperion data center in Louisiana, with the first phase opening in 2028; an analysis shows sales tax breaks on GPUs could total $3.3B (Jon Keegan/Sherwood News)
https://sherwood.news/tech/hyperion/

The power play behind Hyperion, Mark Zuckerberg’s colossal data center being built in rural Louisiana
$10 billion of investment. Code names to disguise projects and companies. Mixed opinions. Skyrocketing property values. And enough tax breaks to pay every state cop in Louisiana for seven years.

An Adversarial Robust Behavior Sequence Anomaly Detection Approach Based on Critical Behavior Unit Learning
Dongyang Zhan, Kai Tan, Lin Ye, Xiangzhan Yu, Hongli Zhang, Zheng He
https://arxiv.org/abs/2509.15756

An Adversarial Robust Behavior Sequence Anomaly Detection Approach Based on Critical Behavior Unit Learning
Sequential deep learning models (e.g., RNN and LSTM) can learn the sequence features of software behaviors, such as API or syscall sequences. However, recent studies have shown that these deep learning-based approaches are vulnerable to adversarial samples. Attackers can use adversarial samples to change the sequential characteristics of behavior sequences and mislead malware classifiers. In this paper, an adversarial robustness anomaly detection method based on the analysis of behavior units i…

Crosslisted article(s) found for math.NA. https://arxiv.org/list/math.NA/new
[1/1]:
- Fast subdivision of B\'{e}zier curves
Pawe{\l} Wo\'zny, Filip Chudy

Analysis: YouTube's top conservative podcasters are driving a boom in host-read ads targeting right-wing audiences; nearly 91% of 876 episodes had political ads (Bloomberg)
https://www.bloomberg.com/graphics/2025-conservative-youtube-stars-marketing-boo…

"Analysis: Seven charts showing how the $100bn climate-finance goal was met"
#Climate #ClimateChange

Analysis: Seven charts showing how the $100bn climate-finance goal was met - Carbon Brief
With developed countries pledging to ramp up climate finance, analysis shows how donors rely on loans and private finance to meet obligations.

Replaced article(s) found for math.AP. https://arxiv.org/list/math.AP/new
[1/1]:
- Thermodynamic limit for the cubic-quintic Schr\"{o}dinger model
Deke Li, Yuan Li, Qingxuan Wang
…

Replaced article(s) found for math.NA. https://arxiv.org/list/math.NA/new
[1/1]:
- Multi-phase-field elasticity model based on partial rank-one energy relaxation on pairwise interf...
Mohammad Sarhil, Oleg Shchyglo, Hesham Salama, Dominik Brands, Ingo Steinbach, J\"org Schr\"ode…