Tootfinder

RE: https://mastodon.social/@burger_jaap/115226778054329749
How taxation of company cars influences the fleet composition, as demonstrated by Belgium:
(and hurrah! quote posts are here!)

Refinement-Types Driven Development: A study
Facundo Dom\'inguez, Arnaud Spiwack
https://arxiv.org/abs/2509.15005 https://arxiv.org/pdf/2509.15005

Refinement-Types Driven Development: A study
This paper advocates for the broader application of SMT solvers in everyday programming, challenging the conventional wisdom that these tools are solely for formal methods and verification. We claim that SMT solvers, when seamlessly integrated into a compiler's static checks, significantly enhance the capabilities of ordinary type checkers in program composition. Specifically, we argue that refinement types, as embodied by Liquid Haskell, enable the use of SMT solvers in mundane programming tas…

Composition operators on reproducing kernel Hilbert spaces
Preeti Kumari, P. Muthukumar
https://arxiv.org/abs/2509.14655 https://arxiv.org/pdf/2509.14655…

Composition operators on reproducing kernel Hilbert spaces
This paper investigates composition and weighted composition operators acting between Reproducing Kernel Hilbert Spaces (RKHS). We employ the properties of their reproducing kernel structure to provide a characterization of the boundedness of these operators, which naturally subsumes many results on boundedness of composition operators in the literature. Emphasis is put on Hardy and Bergman spaces on the unit ball $\mathbb{B}_n$ and unit polydisc $\mathbb{D}^n$. Further, we provide an alternati…

City Features VIII 👣
城市特征 VIII 👣
📷 Nikon FE
🎞️Ilford FP4 Plus, expired 1994
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

Synthetic-to-Real Object Detection using YOLOv11 and Domain Randomization Strategies
Luisa Torquato Ni\~no, Hamza A. A. Gardi
https://arxiv.org/abs/2509.15045 https://

Synthetic-to-Real Object Detection using YOLOv11 and Domain Randomization Strategies
This paper addresses the synthetic-to-real domain gap in object detection, focusing on training a YOLOv11 model to detect a specific object (a soup can) using only synthetic data and domain randomization strategies. The methodology involves extensive experimentation with data augmentation, dataset composition, and model scaling. While synthetic validation metrics were consistently high, they proved to be poor predictors of real-world performance. Consequently, models were also evaluated qualita…

Music and Artificial Intelligence: Artistic Trends
Jordi Pons, Zack Zukowski, Julian D. Parker, CJ Carr, Josiah Taylor, Zach Evans
https://arxiv.org/abs/2508.11694 https://

Music and Artificial Intelligence: Artistic Trends
We study how musicians use artificial intelligence (AI) across formats like singles, albums, performances, installations, voices, ballets, operas, or soundtracks. We collect 337 music artworks and categorize them based on AI usage: AI composition, co-composition, sound design, lyrics generation, and translation. We find that AI is employed as a co-creative tool, as an artistic medium, and in live performances and installations. Innovative uses of AI include exploring uncanny aesthetics, multili…

MAJIC: Markovian Adaptive Jailbreaking via Iterative Composition of Diverse Innovative Strategies
Weiwei Qi, Shuo Shao, Wei Gu, Tianhang Zheng, Puning Zhao, Zhan Qin, Kui Ren
https://arxiv.org/abs/2508.13048

MAJIC: Markovian Adaptive Jailbreaking via Iterative Composition of Diverse Innovative Strategies
Large Language Models (LLMs) have exhibited remarkable capabilities but remain vulnerable to jailbreaking attacks, which can elicit harmful content from the models by manipulating the input prompts. Existing black-box jailbreaking techniques primarily rely on static prompts crafted with a single, non-adaptive strategy, or employ rigid combinations of several underperforming attack methods, which limits their adaptability and generalization. To address these limitations, we propose MAJIC, a Mark…

Series A, Episode 01 - The Way Back
RICHIE: No, not me. The man we're going to meet. He especially asked us to contact you so he could tell you in person. He was on Ziegler Five a few months ago.
BLAKE: Where is he now?
RAVELLA: Waiting for us. Outside.
https://blake.torpidity.net/m/101/18

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[6/8]:
- Policy Search, Retrieval, and Composition via Task Similarity in Collaborative Agentic Systems
Nath, Peridis, Benjamin, Liu, Kolouri, Kinnell, Li, Liu, Dora, Soltoggio

A carbon-rich disk surrounding a planetary-mass companion
Gabriele Cugno, Sierra L. Grant
https://arxiv.org/abs/2509.15209 https://arxiv.org/pdf/2509.15209…

A carbon-rich disk surrounding a planetary-mass companion
During the final assembly of gas giant planets, circumplanetary disks (CPDs) of gas and dust form due to the conservation of angular momentum, providing material to be accreted onto the planet and the ingredients for moons. The composition of these disks has remained elusive, as their faint nature and short separations from their host stars have limited our ability to access them. Now, with the spatial and spectral resolution of JWST/MIRI Medium-Resolution Spectrograph, we can observe and chara…

An inexact variable metric proximal linearization method for composite optimization over embedded submanifolds
Hao He, Ruyu Liu, Yitian Qian, Shaohua Pan
https://arxiv.org/abs/2508.12003

An inexact variable metric proximal linearization method for composite optimization over embedded submanifolds
This paper concerns the minimization of the composition of a nonsmooth convex function and a $\mathcal{C}^{1,1}$ mapping over a $\mathcal{C}^2$-smooth embedded closed submanifold $\mathcal{M}$. For this class of nonconvex and nonsmooth problems, we propose an inexact variable metric proximal linearization method by leveraging its composite structure and the retraction and first-order information of $\mathcal{M}$, which at each iteration seeks an inexact solution to a subspace constrained strong…

Spectral survey of the diffuse gas toward BL Lac in the Q band
Maryvonne Gerin, Harvey Liszt, Bel\'en Tercero, Jos\'e Cernicharo
https://arxiv.org/abs/2509.14822 https:/…

Spectral survey of the diffuse gas toward BL Lac in the Q band
The chemical composition of diffuse interstellar clouds is not fully established. They host an active chemistry despite their relatively low density and the ubiquitous presence of far-UV radiation. To further explore the chemical composition of diffuse clouds, we performed a spectral scan toward the bright radio source BL Lac in the Q band (from 32 to 50 GHz) using the Yebes 40m telescope. Yebes observations were performed interleaving Frequency Switching and Position Switching integrations tow…

Utilised the time to bake another bread today. I did so yesterday as well but I took it out of the oven too early. 😕
This now looks waaays better. I'm curious about the taste and consistency.
And yes, in this regard I'm a typical German: bread is really a thing for me.
(So, I wasn't 'Breaking Bad' but 'Baking Bread'. 😉)
#baking

Physics-Informed GCN-LSTM Framework for Long-Term Forecasting of 2D and 3D Microstructure Evolution
Hamidreza Razavi, Nele Moelans
https://arxiv.org/abs/2509.15029 https://

Physics-Informed GCN-LSTM Framework for Long-Term Forecasting of 2D and 3D Microstructure Evolution
This paper presents a physics-informed framework that integrates graph convolutional networks (GCN) with long short-term memory (LSTM) architecture to forecast microstructure evolution over long time horizons in both 2D and 3D with remarkable performance across varied metrics. The proposed framework is composition-aware, trained jointly on datasets with different compositions, and operates in latent graph space, which enables the model to capture compositions and morphological dynamics while re…

Workshop on authoritarianism, law, and the remaking of society
https://ift.tt/PX6BivW
Date: 19 June 2025 to 20 June 2025 Time: 10:00 am Venue: Room S312 (Paul Webley Wing), SOAS,…
via Input 4 RELCFP

Workshop on authoritarianism, law, and the remaking of society
Date: 19 June 2025 to 20 June 2025Time: 10:00 amVenue: Room S312 (Paul Webley Wing), SOAS, University of LondonEvent type: ConferenceRegistration: The event is free to attend. Click here to register. Join us for a 2 day workshop that seeks to draw attention to the social life of laws used by authoritarian states and leaders to change the composition of societies.Download programmeScheduleRegister here to attend.

You Are What You Train: Effects of Data Composition on Training Context-aware Machine Translation Models
Pawe{\l} M\k{a}ka, Yusuf Can Semerci, Jan Scholtes, Gerasimos Spanakis
https://arxiv.org/abs/2509.14031

You Are What You Train: Effects of Data Composition on Training Context-aware Machine Translation Models
Achieving human-level translations requires leveraging context to ensure coherence and handle complex phenomena like pronoun disambiguation. Sparsity of contextually rich examples in the standard training data has been hypothesized as the reason for the difficulty of context utilization. In this work, we systematically validate this claim in both single- and multilingual settings by constructing training datasets with a controlled proportions of contextually relevant examples. We demonstrate a …

Prospects for Deep-Learning-Based Mass Reconstruction of Ultra-High-Energy Cosmic Rays using Simulated Air-Shower Profiles
Zhouyi Wang, Eric Mayotte, Sonja Mayotte, Nathan Woo, Julia Burton-Heibges, Nicolas San Martin, Cailyn Smith
https://arxiv.org/abs/2508.13933

Prospects for Deep-Learning-Based Mass Reconstruction of Ultra-High-Energy Cosmic Rays using Simulated Air-Shower Profiles
Knowledge of the mass composition of ultra-high-energy cosmic rays (UHECR) is crucial to understanding their origins; however, current approaches have limited event-by-event resolution due to high intrinsic fluctuations of variables like $X_{\mathrm{max}}$ and $N_μ$. With fluorescence telescope measurements of $X_{\mathrm{max}}$ in particular, there are opportunities to improve this situation by leveraging more information from the longitudinal shower development profile beyond just the depth …

On The Road - To Xi’An/ Quiescence ➰
在路上 - 去西安/ 静止 ➰
📷 Pentax MX
🎞️Kodak Double-X 5222
#filmphotography #Photography #blackandwhite

SpeechOp: Inference-Time Task Composition for Generative Speech Processing
Justin Lovelace, Rithesh Kumar, Jiaqi Su, Ke Chen, Kilian Q Weinberger, Zeyu Jin
https://arxiv.org/abs/2509.14298

SpeechOp: Inference-Time Task Composition for Generative Speech Processing
While generative Text-to-Speech (TTS) systems leverage vast ``in-the-wild" data to achieve remarkable success, speech-to-speech processing tasks like enhancement face data limitations, which lead data-hungry generative approaches to distort speech content and speaker identity. To bridge this gap, we present SpeechOp, a multi-task latent diffusion model that transforms pre-trained TTS models into a universal speech processor capable of performing a wide range of speech tasks and composing them i…

Crosslisted article(s) found for math.CV. https://arxiv.org/list/math.CV/new
[1/1]:
- Composition operators on reproducing kernel Hilbert spaces
Preeti Kumari, P. Muthukumar

LoRAtorio: An intrinsic approach to LoRA Skill Composition
Niki Foteinopoulou, Ignas Budvytis, Stephan Liwicki
https://arxiv.org/abs/2508.11624 https://arx…

LoRAtorio: An intrinsic approach to LoRA Skill Composition
Low-Rank Adaptation (LoRA) has become a widely adopted technique in text-to-image diffusion models, enabling the personalisation of visual concepts such as characters, styles, and objects. However, existing approaches struggle to effectively compose multiple LoRA adapters, particularly in open-ended settings where the number and nature of required skills are not known in advance. In this work, we present LoRAtorio, a novel train-free framework for multi-LoRA composition that leverages intrinsic…

Towards an Embodied Composition Framework for Organizing Immersive Computational Notebooks
Sungwon In, Eric Krokos, Kirsten Whitley, Chris North, Yalong Yang
https://arxiv.org/abs/2509.13291

Towards an Embodied Composition Framework for Organizing Immersive Computational Notebooks
As immersive technologies evolve, immersive computational notebooks offer new opportunities for interacting with code, data, and outputs. However, scaling these environments remains a challenge, particularly when analysts manually arrange large numbers of cells to maintain both execution logic and visual coherence. To address this, we introduce an embodied composition framework, facilitating organizational processes in the context of immersive computational notebooks. To evaluate the effectiven…

Catalan numbers and a conjecture on the maximum composition length of a Kac module
Ian M. Musson
https://arxiv.org/abs/2509.10868 https://arxiv.org/pdf/250…

Catalan numbers and a conjecture on the maximum composition length of a Kac module
We prove a conjecture on the maximum number of composition factors of a Kac module for the Lie superalgebra $\fg=\fgl(r|r)$. The proof uses some elementary facts about continuous functions.

Runtime Composition in Dynamic System of Systems: A Systematic Review of Challenges, Solutions, Tools, and Evaluation Methods
Muhammad Ashfaq, Ahmed R. Sadik, Teerath Das, Muhammad Waseem, Niko Makitalo, Tommi Mikkonen
https://arxiv.org/abs/2510.12616

Runtime Composition in Dynamic System of Systems: A Systematic Review of Challenges, Solutions, Tools, and Evaluation Methods
Context: Modern Systems of Systems (SoSs) increasingly operate in dynamic environments (e.g., smart cities, autonomous vehicles) where runtime composition -- the on-the-fly discovery, integration, and coordination of constituent systems (CSs)--is crucial for adaptability. Despite growing interest, the literature lacks a cohesive synthesis of runtime composition in dynamic SoSs. Objective: This study synthesizes research on runtime composition in dynamic SoSs and identifies core challenges, solu…

Moody Urbanity - Manmade Confinements ⛑️
情绪化城市 - 人造禁锢 ⛑️
📷 Pentax MX
🎞️ Kentmere Pan 400
#filmphotography #Photography #blackandwhite

Significant inference and confidence sets for graphical models
P. A. Koldanov, A. P. Koldanov
https://arxiv.org/abs/2509.12292 https://arxiv.org/pdf/2509.1…

Significant inference and confidence sets for graphical models
The problem of identifying statistically significant inferences about the structure of the graphical model is considered, along with the related task of constructing a confidence set for a graphical model. It has been proven that the procedure for constructing such set is equivalent to the procedure for simultaneous testing of hypotheses and alternatives regarding the composition of the graphical model. Some variants of the simultaneous testing of hypotheses and alternatives are discussed. It i…

The 30-minute workout that could slash cancer cell growth by 30% #health

The 30-minute workout that could slash cancer cell growth by 30%
A vigorous workout can spark anti-cancer proteins, cut cancer cell growth, and help survivors fight recurrence by reducing inflammation and improving body composition.

Expanding the search space of high entropy oxides and predicting synthesizability using machine learning interatomic potentials
Oliver A. Dicks, Solveig S. Aamlid, Alannah M. Hallas, Joerg Rottler
https://arxiv.org/abs/2508.13389

Expanding the search space of high entropy oxides and predicting synthesizability using machine learning interatomic potentials
We propose an efficient computational methodology for predicting the synthesizability of high entropy oxides (HEOs) in a large space of possible candidate compounds. HEOs are a growing field with an enormous potential chemical composition space, and yet the discovery of new HEOs is slow and driven by experimental trial-and-error. In this work, we attempt to speed up this process by using a machine learned interatomic potential offering DFT-level accuracy. Our methodology starts by identifying a…

The Mass of Cosmic Rays of Ultra High Energy
A A Watson
https://arxiv.org/abs/2508.11378 https://arxiv.org/pdf/2508.11378

The Mass of Cosmic Rays of Ultra High Energy
A review of several analyses is presented that forces the conclusion that the mass composition of the highest-energy cosmic rays is not proton-dominated. This deduction, combined with the use of a modern hadronic interaction model, should lead to a re-evaluation of the energy spectrum reported by the Telescope Collaboration that may well bring that measurement, and the corresponding one from the Pierre Auger Observatory, into better agreement.

Cosmic-ray impact on optical and mid-infrared emission line diagnostics in NGC 5728
E. Koutsoumpou, J. A. Fern\'andez-Ontiveros, K. M. Dasyra, L. Spinoglio
https://arxiv.org/abs/2509.14328

Cosmic-ray impact on optical and mid-infrared emission line diagnostics in NGC 5728
Cosmic rays (CRs), from active galactic nuclei (AGN) jets and supernovae (SNe), serve as a significant feedback mechanism influencing emission lines in narrow line region (NLR) clouds. These highly energetic particles, propelled by shocks, heat the interstellar medium (ISM) and modify its chemical composition. This study investigates the role of CRs, particularly in their ability to excite gas and align with observed line ratios across UV and optical diagnostics. We employ CLOUDY to explore CR …

MusicSwarm: Biologically Inspired Intelligence for Music Composition
Markus J. Buehler
https://arxiv.org/abs/2509.11973 https://arxiv.org/pdf/2509.11973

MusicSwarm: Biologically Inspired Intelligence for Music Composition
We show that coherent, long-form musical composition can emerge from a decentralized swarm of identical, frozen foundation models that coordinate via stigmergic, peer-to-peer signals, without any weight updates. We compare a centralized multi-agent system with a global critic to a fully decentralized swarm in which bar-wise agents sense and deposit harmonic, rhythmic, and structural cues, adapt short-term memory, and reach consensus. Across symbolic, audio, and graph-theoretic analyses, the swa…

🏃‍♀️ Air Force announces new force-wide fitness test: 2-mile run, twice per year
#airforce

Air Force announces new force-wide fitness test: 2-mile run, twice per year
Airmen will also undergo a body composition analysis as part of the test that measures their waist circumference against their height.

WeaveMuse: An Open Agentic System for Multimodal Music Understanding and Generation
Emmanouil Karystinaios
https://arxiv.org/abs/2509.11183 https://arxiv.o…

WeaveMuse: An Open Agentic System for Multimodal Music Understanding and Generation
Agentic AI has been standardized in industry as a practical paradigm for coordinating specialized models and tools to solve complex multimodal tasks. In this work, we present WeaveMuse, a multi-agent system for music understanding, symbolic composition, and audio synthesis. Each specialist agent interprets user requests, derives machine-actionable requirements (modalities, formats, constraints), and validates its own outputs, while a manager agent selects and sequences tools, mediates user inte…

All that structure matches does not glitter
Maya M. Martirossyan, Thomas Egg, Philipp Hoellmer, George Karypis, Mark Transtrum, Adrian Roitberg, Mingjie Liu, Richard G. Hennig, Ellad B. Tadmor, Stefano Martiniani
https://arxiv.org/abs/2509.12178

All that structure matches does not glitter
Generative models for materials, especially inorganic crystals, hold potential to transform the theoretical prediction of novel compounds and structures. Advancement in this field depends critically on robust benchmarks and minimal, information-rich datasets that enable meaningful model evaluation. This paper critically examines common datasets and reported metrics for a crystal structure prediction task$\unicode{x2014}$generating the most likely structures given the chemical composition of a m…

Volatile-bearing mineral atmospheres of hot rocky exoplanets as probes of interior state and composition
Fabian L. Seidler, Paolo A. Sossi, Dan J. Bower, Brice-Olivier Demory
https://arxiv.org/abs/2509.13610

Volatile-bearing mineral atmospheres of hot rocky exoplanets as probes of interior state and composition
The atmospheres of hot rocky exoplanets (HREs), should they persist, are products of interactions with underlying magma oceans. Spectra collected by the James Webb Space Telescope (JWST) hint at a CO/CO$_2$-rich atmosphere on the HRE 55 Cancri e, indicative of such a process. Here, we aim to identify diagnostic features that can be used to infer the composition and geochemical state of HREs. We construct a coupled atmosphere-interior model that computes the equilibrium gas speciation in the atm…

I, Robot? Socio-Technical Implications of Ultra-Personalized AI-Powered AAC; an Autoethnographic Account
Tobias Weinberg, Ricardo E. Gonzalez Penuela, Stephanie Valencia, Thijs Roumen
https://arxiv.org/abs/2509.13671

I, Robot? Socio-Technical Implications of Ultra-Personalized AI-Powered AAC; an Autoethnographic Account
Generic AI auto-complete for message composition often fails to capture the nuance of personal identity, requiring significant editing. While harmless in low-stakes settings, for users of Augmentative and Alternative Communication (AAC) devices, who rely on such systems for everyday communication, this editing burden is particularly acute. Intuitively, the need for edits would be lower if language models were personalized to the communication of the specific user. While technically feasible, su…

SRaFTE: Super-Resolution and Future Time Extrapolation for Time-Dependent PDEs
Hardeep Bassi, Yuanran Zhu, Erika Ye, Pu Ren, Alec Dektor, Harish S. Bhat, Chao Yang
https://arxiv.org/abs/2509.12220

SRaFTE: Super-Resolution and Future Time Extrapolation for Time-Dependent PDEs
We present SRaFTE (Super-Resolution and Future Time Extrapolation), a two-phase learning framework that couples coarse grid solvers with neural operators to super-resolve and forecast fine grid dynamics for time-dependent partial differential equations (PDEs). In our construction, Phase 1 learns a super-resolution map from coarse to fine solutions, while Phase 2 embeds this operator in a predictor-corrector loop with the coarse solver, forming an operator composition that serves as a surrogate …

Fast reconstruction of degenerate populations of conductance-based neuron models from spike times
Julien Brandoit, Damien Ernst, Guillaume Drion, Arthur Fyon
https://arxiv.org/abs/2509.12783

Fast reconstruction of degenerate populations of conductance-based neuron models from spike times
Neurons communicate through spikes, and spike timing is a crucial part of neuronal processing. Spike times can be recorded experimentally both intracellularly and extracellularly, and are the main output of state-of-the-art neural probes. On the other hand, neuronal activity is controlled at the molecular level by the currents generated by many different transmembrane proteins called ion channels. Connecting spike timing to ion channel composition remains an arduous task to date. To address thi…

Metastable phase separation and information retrieval in multicomponent mixtures
Rodrigo Braz Teixeira, Izaak Neri, Pablo Sartori
https://arxiv.org/abs/2509.10705 https://

Metastable phase separation and information retrieval in multicomponent mixtures
Liquid mixtures can separate into phases with distinct composition. This phenomenon has recently come back to prominence due to its role in complex biological liquids, such as the cytoplasm, which contain thousands of components. For simple two-component mixtures phase-separated states are global free energy minima. However, local free energy minima, i.e. metastable states, are known to play a dominant role in complex systems with many components. For example, Hopfield neural networks can retri…

Accelerating Amorphous Alloy Discovery: Data-Driven Property Prediction via General-Purpose Machine Learning Interatomic Potential
Xuhe Gong, Hengbo Zhao, Xiao Fu, Jingchen Lian, Qifan Yang, Ran Li, Ruijuan Xiao, Tao Zhang, Hong Li
https://arxiv.org/abs/2508.11989

Accelerating Amorphous Alloy Discovery: Data-Driven Property Prediction via General-Purpose Machine Learning Interatomic Potential
While traditional trial-and-error methods for designing amorphous alloys are costly and inefficient, machine learning approaches based solely on composition lack critical atomic structural information. Machine learning interatomic potentials, trained on data from first-principles calculations, offer a powerful alternative by efficiently approximating the complex three-dimensional potential energy surface with near-DFT accuracy. In this work, we develop a general-purpose machine learning interat…

Series D, Episode 03 - Traitor
LEITZ: Because my meeting was with Hunda, General, and two off-worlders. [Pours a glass of wine for himself. His manner is insolent]
GENERAL: Hunda is a rebel leader.
https://blake.torpidity.net/m/403/352 B7B3

Service Function Chaining Architecture for Multi-hop Split Inference and Learning
Takanori Hara, Masahiro Sasabe
https://arxiv.org/abs/2509.10001 https://a…

Service Function Chaining Architecture for Multi-hop Split Inference and Learning
Service Function Chaining (SFC) is a networking technique that ensures traffic traverses a predefined sequence of service functions, realizing arbitrary network services through dynamic and efficient communication paths. Inspired by this concept, we propose an SFC-based architecture for Multi-hop Split Inference (MSI), where split sub-models are interpreted as service functions and their composition forms a service chain representing the global model. By leveraging SFC, the proposed architectur…

Appreciate the nod that spatial data viz is hard, @…!
The motivation part about expensive GIS tools is a little off though 💸 :qgis:
https://m…

On SAGBI bases theory of skew Poincar\'e-Birkhoff-Witt extensions
Y\'esica Su\'arez, Armando Reyes
https://arxiv.org/abs/2508.10715 https://arx…

On SAGBI bases theory of skew Poincaré-Birkhoff-Witt extensions
In this paper we present a first approach toward a \texttt{SAGBI} bases theory of skew Poincaré-Birkhoff-Witt extensions, and investigate the problem of polynomial composition for \texttt{SAGBI} bases of subalgebras of these extensions.

Composition laws of binary quadratic forms and isolations of quadratic forms
Jangwon Ju, Daejun Kim, Kyoungmin Kim, Mingyu Kim, Byeong-Kweon Oh
https://arxiv.org/abs/2508.07916 …

Composition laws of binary quadratic forms and isolations of quadratic forms
A positive definite and integral quadratic form $f$ is called irrecoverable if there is a quadratic form $F$ such that it represents all proper subforms of $f$, whereas it does not represent $f$ itself. In this case, $F$ is called an isolation of $f$. In this article, we prove that there does not exist a binary isolation of any unary quadratic form. We also prove that there does not exist a ternary isolation of any binary quadratic form. Furthermore, if the form class group of a primitive binar…

Quantum walks through generalized graph composition
Arjan Cornelissen
https://arxiv.org/abs/2510.04973 https://arxiv.org/pdf/2510.04973

Quantum walks through generalized graph composition
In this work, we generalize the recently-introduced graph composition framework to the non-boolean setting. A quantum algorithm in this framework is represented by a hypergraph, where each hyperedge is adjacent to multiple vertices. The input and output to the quantum algorithm is represented by a set of boundary vertices, and the hyperedges act like switches, connecting the input vertex to the output that the algorithm computes. Apart from generalizing the graph composition framework, our ne…

AmpliconHunter: A Scalable Tool for PCR Amplicon Prediction from Microbiome Samples
Rye Howard-Stone, Ion Mandiou
https://arxiv.org/abs/2509.13300 https://…

AmpliconHunter: A Scalable Tool for PCR Amplicon Prediction from Microbiome Samples
Sequencing of PCR amplicons generated using degenerate primers (typically targeting a region of the 16S ribosomal gene) is widely used in metagenomics to profile the taxonomic composition of complex microbial samples. To reduce taxonomic biases in primer selection it is important to conduct in silico PCR analyses of the primers against large collections of up to millions of bacterial genomes. However, existing in silico PCR tools have impractical running time for analyses of this scale. In this…

Timeliness, Consensus, and Composition of the Crowd: Community Notes on X
Olesya Razuvayevskaya, Adel Tayebi, Ulrikke Dybdal S{\o}rensen, Kalina Bontcheva, Richard Rogers
https://arxiv.org/abs/2510.12559

Timeliness, Consensus, and Composition of the Crowd: Community Notes on X
This study presents the first large-scale quantitative analysis of the efficiency of X's Community Notes, a crowdsourced moderation system for identifying and contextualising potentially misleading content. Drawing on over 1.8 million notes, we examine three key dimensions of crowdsourced moderation: participation inequality, consensus formation, and timeliness. Despite the system's goal of collective moderation, we find substantial concentration effect, with the top 10% of contributors produci…

Interactive Atmospheric Composition Emulation for Next-Generation Earth System Models
Seyed Mohammad Hassan Erfani, Kara Lamb, Susanne Bauer, Kostas Tsigaridis, Marcus van Lier-Walqui, Gavin Schmidt
https://arxiv.org/abs/2510.10654

Interactive Atmospheric Composition Emulation for Next-Generation Earth System Models
Interactive composition simulations in Earth System Models (ESMs) are computationally expensive as they transport numerous gaseous and aerosol tracers at each timestep. This limits higher-resolution transient climate simulations with current computational resources. ESMs like NASA GISS-ModelE3 (ModelE) often use pre-computed monthly-averaged atmospheric composition concentrations (Non-Interactive Tracers or NINT) to reduce computational costs. While NINT significantly cuts computations, it fail…

Chemical composition of planetary hosts: II. Abundances of neutron-capture elements
A. Sharma, E. Stonkut\.e, A. Drazdauskas, R. Minkevi\v{c}i\=ut\.e, \v{S}. Mikolaitis, G. Tautvai\v{s}ien\.e, U. Jonauskait\.e
https://arxiv.org/abs/2508.09979

Chemical composition of planetary hosts: II. Abundances of neutron-capture elements
We present a study of neutron-capture element abundances (Sr, Y, Zr, Ba, La, Ce, Nd, Pr, and Eu) in a large and homogeneous sample of 160 F-, G-, and K-type planet-host stars located in the northern hemisphere, including 32 stars in multi-planetary systems. The sample hosts a total of 175 high-mass planets and 47 Neptunian and super-Earth planets. High-resolution spectra were obtained with the 1.65-metre telescope at the Molėtai Astronomical Observatory using a fibre-fed spectrograph covering …

Ordered groups of formal series, and a conjugacy problem
Vincent Bagayoko
https://arxiv.org/abs/2509.09186 https://arxiv.org/pdf/2509.09186

Ordered groups of formal series, and a conjugacy problem
Given an ordered field $\mathbb{T}$ of formal series over an ordered field $\mathbf{R}$ equipped with a composition law $\circ \colon \mathbb{T} \times \mathbb{T}^{>\mathbb{R}} \longrightarrow \mathbb{T}$, we give conditions for $(\mathbb{T}^{>\mathbb{R}},\circ)$ to be a group. We show that classical fields of transseries and hyperseries satisfy these conditions. We then give further conditions on $\mathbb{T}$ under which $(\mathbb{T}^{>\mathbb{R}},\circ,<)$ is a linearly ordered group with exa…

Inverse design of drying-induced assembly of multicomponent colloidal-particle films using surrogate models
Mayukh Kundu, Michaela Bush, Chris A. Kieslich, Michael P. Howard
https://arxiv.org/abs/2509.10645

Inverse design of drying-induced assembly of multicomponent colloidal-particle films using surrogate models
The properties of films assembled by drying colloidal-particle suspensions depend sensitively on both the particles and the processing conditions, making them challenging to engineer. In this work, we develop and test an inverse-design strategy based on surrogate modeling to identify conditions that yield a target film structure. We consider a two-component hard-sphere colloidal suspension whose designable parameters are the particle sizes, the initial composition of particles, and the drying r…

Beyond Test Scores: How Academic Rank Shapes Long-Term Outcomes
Emilia Del Bono, Angus Holford, Tommaso Sartori
https://arxiv.org/abs/2510.11973 https://ar…

Beyond Test Scores: How Academic Rank Shapes Long-Term Outcomes
We study the effects of academic rank using data on the entire population of children enrolled in primary schools in Aberdeen, Scotland, in 1962. Exploiting quasi-random variation in peer group composition, we estimate the causal impact of rank on academic performance, noncognitive development, parental investment, and long-term outcomes. Higher rank improves achievement on the high-stakes eleven-plus examination and strengthens internalizing skills (traits related to self-concept and confidenc…

Trace Repair for Temporal Behavior Trees
Sebastian Schirmer, Philipp Schitz, Johann C. Dauer, Bernd Finkbeiner, Sriram Sankaranarayanan
https://arxiv.org/abs/2509.08610 https://…

Trace Repair for Temporal Behavior Trees
We present methods for repairing traces against specifications given as temporal behavior trees (TBT). TBT are a specification formalism for action sequences in robotics and cyber-physical systems, where specifications of sub-behaviors, given in signal temporal logic, are composed using operators for sequential and parallel composition, fallbacks, and repetition. Trace repairs are useful to explain failures and as training examples that avoid the observed problems. In principle, repairs can be …

From Formal Methods to Data-Driven Safety Certificates of Unknown Large-Scale Networks
Omid Akbarzadeh, Behrad Samari, Amy Nejati, Abolfazl Lavaei
https://arxiv.org/abs/2508.09520

From Formal Methods to Data-Driven Safety Certificates of Unknown Large-Scale Networks
In this work, we propose a data-driven scheme within a compositional framework with noisy data to design robust safety controllers in a fully decentralized fashion for large-scale interconnected networks with unknown mathematical dynamics. Despite the network's high dimensionality and the inherent complexity of its unknown model, which make it intractable, our approach effectively addresses these challenges by (i) treating the network as a composition of smaller subsystems, and (ii) collecting …

Just to make sure my followers here are aware as well: I am not planning on filing any bills this term, due to a combination of chamber composition, increased complexity in the LSR submission forms, the move of committees to Granite Place while the LOB is being renovated, and general depression/despair/futility. Colleagues are encouraged to steal my ideas from me for their own bills. The filing period closes this Friday, September 19th, at the close of business hours.
#NHPolitics

On The Road - To Xi’An/ Mordern Relics
在路上 - 去西安/ 现代遗风
📷 Pentax MX
🎞️Fujifilm Neopan F, expired 1993
#filmphotography #Photography #blackandwhite

1/2 'Glitzer' #FotoVorschlag 'glitter'
I don't have a lot of glitter in my portfolio. But #snowflakes can be like glitter in the counter light!
I took this #photo …

Discovery of an icy and nitrogen-rich extrasolar planetesimal
Snehalata Sahu, Boris T. G\"ansicke, Jamie T. Williams, Detlev G. Koester, Jay Farihi, Steven J. Desch, Nicola Pietro Gentile Fusillo, Dimitri Veras, Sean N. Raymond, Maria Teresa Belmonte
https://arxiv.org/abs/2509.13422

Discovery of an icy and nitrogen-rich extrasolar planetesimal
White dwarfs accreting planetary debris provide detailed insight into the bulk composition of rocky exo-planetesimals. However, only one Kuiper-Belt analogue has been identified in that way so far. Here, we report the accretion of an icy extra-solar planetesimal onto white dwarf WD 1647+375 using ultraviolet spectroscopy from the Hubble Space Telescope. The accreted material is rich in the volatiles carbon, nitrogen, and sulphur, with a chemical composition analogous to Kuiper-belt objects (KBO…

Mean and pointwise ergodicity for composition operators on rearrangement-invariant spaces
Thomas Kalmes, Dalimil Pe\v{s}a
https://arxiv.org/abs/2510.12459 https://

Mean and pointwise ergodicity for composition operators on rearrangement-invariant spaces
We study ergodicity of composition operators on rearrangement-invariant Banach function spaces. More precisely, we give a natural and easy-to-check condition on the symbol of the operator which entails mean ergodicity on a very large class of rearrangement-invariant Banach function spaces. Further, we present some natural additional assumptions that allow us to obtain pointwise ergodicity. The class of spaces covered by our results contains many non-reflexive spaces, such as the Lorentz spaces …

Exact alternative optima for nonlinear optimization problems defined with maximum component objective function constrained by the Sugeno-Weber fuzzy relational inequalities
Amin Ghodousian, Sara Zal, Minoo Ahmadi
https://arxiv.org/abs/2509.12669

Exact alternative optima for nonlinear optimization problems defined with maximum component objective function constrained by the Sugeno-Weber fuzzy relational inequalities
In this paper, we study a latticized optimization problem with fuzzy relational inequality constraints where the feasible region is formed as the intersection of two inequality fuzzy systems and Sugeno-Weber family of t-norms is considered as fuzzy composition. Sugeno-Weber family of t-norms and t-conorms is one of the most applied one in various fuzzy modelling problems. This family of t-norms and t-conorms was suggested by Weber for modeling intersection and union of fuzzy sets. Also, the t-c…

🌠 Ryugu asteroid research reveals mineral history predating any on Earth
#astronomy

Ryugu asteroid research reveals mineral history predating any on Earth
In 2020, the Hayabusa2 uncrewed spacecraft successfully returned small fragments from the near-Earth asteroid Ryugu, providing the first pristine samples from a carbonaceous asteroid. Grains from those samples were studied at the National Synchrotron Light Source II (NSLS-II), revealing new details into the asteroid's composition and origin. This insight could ultimately help answer big questions about how water and organic matter came to exist on early Earth, forming the building blocks of lif…

Agentic Design Review System
Sayan Nag, K J Joseph, Koustava Goswami, Vlad I Morariu, Balaji Vasan Srinivasan
https://arxiv.org/abs/2508.10745 https://arxi…

Agentic Design Review System
Evaluating graphic designs involves assessing it from multiple facets like alignment, composition, aesthetics and color choices. Evaluating designs in a holistic way involves aggregating feedback from individual expert reviewers. Towards this, we propose an Agentic Design Review System (AgenticDRS), where multiple agents collaboratively analyze a design, orchestrated by a meta-agent. A novel in-context exemplar selection approach based on graph matching and a unique prompt expansion method play…

Moody Urbanity - Odes II 🎶
情绪化城市 - 颂 II🎶
📷 Pentax MX
🎞️ Kentmere Pan 400
#filmphotography #Photography #blackandwhite

Composition Law of Conjugate Observables in Random Permutation Sorting Systems
Yurang R. Kuang
https://arxiv.org/abs/2510.08013 https://arxiv.org/pdf/2510.…

Composition Law of Conjugate Observables in Random Permutation Sorting Systems
We present the discovery of a fundamental composition law governing conjugate observables in the Random Permutation Sorting System (RPSS). The law links the discrete permutation count Np and the continuous elapsed time T through a functional relation connecting the characteristic function of timing distributions to the probability generating function of permutation counts. This framework enables entropy purification, transforming microarchitectural timing fluctuations into uniform randomness vi…

Inverse Design of Amorphous Materials with Targeted Properties
Jonas A. Finkler, Yan Lin, Tao Du, Jilin Hu, Morten M. Smedskjaer
https://arxiv.org/abs/2509.13916 https://…

Inverse Design of Amorphous Materials with Targeted Properties
Disordered (amorphous) materials, such as glasses, are emerging as promising candidates for applications within energy storage, nonlinear optics, and catalysis. Their lack of long-range order and complex short- and medium-range orderings, which depend on composition as well as thermal and pressure history, offer a vast materials design space. To this end, relying on machine learning methods instead of trial and error is promising, and among these, inverse design has emerged as a tool for discov…

Muon number reconstruction with IceTop using a two-component lateral distribution function
Mark Weyrauch (for the IceCube Collaboration)
https://arxiv.org/abs/2509.13002 https:/…

Muon number reconstruction with IceTop using a two-component lateral distribution function
The IceCube Neutrino Observatory, situated at the geographic South Pole, comprises both a surface component, IceTop, and a deep in-ice component. This unique setup allows for simultaneous measurements of low-energy ($\sim \rm{GeV}$) and high-energy ($\gtrsim 400\,\rm{GeV}$) muons generated in cosmic-ray air showers. The correlation between these low- and high-energy muons can serve as a valuable tool not only for analyzing cosmic-ray composition but also for tests of hadronic interaction models…

Top to random and reverse: analysis of a new descent algebra shuffle
Darij Grinberg, Jonathan Parlett
https://arxiv.org/abs/2508.06740 https://arxiv.org/pd…

Top to random and reverse: analysis of a new descent algebra shuffle
We study the "top-to-random-and-reverse shuffle", defined as the top-to-random shuffle in the symmetric group algebra composed with the permutation $w_0$ (which sends each $i$ to $n+1-i$). More generally, we analyze the composition of any B-basis element of the descent algebra with $w_0$. We show that the minimal polynomial of any such composition (over $\mathbb{Q}$) factors into distinct linear factors, which correspond to the "signed knapsack numbers" of set compositions. This is a counterpar…

Prime-powered images and irreducible polynomials in dynamical semigroups
Aristaa Bhardwaj, Adrian Boyer-Paulet, Wade Hindes, Emma Qiu, Alexander Sun
https://arxiv.org/abs/2510.10310

Prime-powered images and irreducible polynomials in dynamical semigroups
Let $G=\langle x^d+c_1,\dots,x^d+c_s\rangle$ be a semigroup generated under composition for some $c_1,\dots,c_s\in\mathbb{Z}$ and some $d\geq2$. Then we prove that, outside of an exceptional one-parameter family, $G$ contains a large and explicit subset of irreducible polynomials if and only if it contains at least one irreducible polynomial. In particular, this conclusion holds when $G$ is generated by at least $s\geq3$ polynomials when $d$ is odd and at least $s\geq5$ polynomials when $d$ is …

Quantum Relative Entropy Decay Composition Yields Shallow, Unstructured k-Designs
Nicholas Laracuente
https://arxiv.org/abs/2510.08537 https://arxiv.org/pd…

Quantum Relative Entropy Decay Composition Yields Shallow, Unstructured k-Designs
A major line of questions in quantum information and computing asks how quickly locally random circuits converge to resemble global randomness. In particular, approximate k-designs are random unitary ensembles that resemble random circuits up to their first k moments. It was recently shown that on n qudits, random circuits with slightly structured architectures converge to k-designs in depth O(log n), even on one-dimensional connectivity. It has however remained open whether the same shallow de…

ORCA: Unveiling Obscure Containers In The Wild
Jacopo Bufalino, Agathe Blaise, Stefano Secci
https://arxiv.org/abs/2509.09322 https://arxiv.org/pdf/2509.09…

ORCA: Unveiling Obscure Containers In The Wild
Modern software development increasingly depends on open-source libraries and third-party components, which are often encapsulated into containerized environments. While improving the development and deployment of applications, this approach introduces security risks, particularly when outdated or vulnerable components are inadvertently included in production environments. Software Composition Analysis (SCA) is a critical process that helps identify and manage packages and dependencies inside a…

DCHO: A Decomposition-Composition Framework for Predicting Higher-Order Brain Connectivity to Enhance Diverse Downstream Applications
Weibin Li, Wendu Li, Quanying Liu
https://arxiv.org/abs/2509.09696 …

DCHO: A Decomposition-Composition Framework for Predicting Higher-Order Brain Connectivity to Enhance Diverse Downstream Applications
Higher-order brain connectivity (HOBC), which captures interactions among three or more brain regions, provides richer organizational information than traditional pairwise functional connectivity (FC). Recent studies have begun to infer latent HOBC from noninvasive imaging data, but they mainly focus on static analyses, limiting their applicability in dynamic prediction tasks. To address this gap, we propose DCHO, a unified approach for modeling and forecasting the temporal evolution of HOBC ba…

Diffeomorphic Neural Operator Learning
Seth Taylor, Alex Bihlo, Jean-Christophe Nave
https://arxiv.org/abs/2508.06690 https://arxiv.org/pdf/2508.06690

Diffeomorphic Neural Operator Learning
We present an operator learning approach for a class of evolution operators using a composition of a learned lift into the space of diffeomorphisms of the domain and the group action on the field space. In turn, this transforms the semigroup structure of the evolution operator into a corresponding group structure allowing time stepping be performed through composition on the space of diffeomorphisms rather than in the field space directly. This results in a number of structure-preserving proper…

The nature and evolution of a-C(:H) nanoparticle substructures and speculations on the origin of the 3-4$\mu$m emission bands
Ant Jones
https://arxiv.org/abs/2509.13119 https://…

The nature and evolution of a-C(:H) nanoparticle substructures and speculations on the origin of the 3-4$μ$m emission bands
The nature and evolution of hydrocarbonaceous grains within interstellar and circumstellar media is still far from resolved, perhaps owing to the rather complex nature of their seemingly simple binary atomic compositions. This work explores the fine details of amorphous hydrocarbon nanoparticle, a-C(:H), composition and the evolution of the inherent sub-structures under extreme conditions, focusing on the characteristic CH$_n$ bands in the 3-4 micron wavelength region. Particular attention is p…

Do Outer Giants Inflate Neptune-sized Planets? An Architecture-Dependent Mass-Radius Relation
Dolev Bashi
https://arxiv.org/abs/2509.12328 https://arxiv.or…

Do Outer Giants Inflate Neptune-sized Planets? An Architecture-Dependent Mass-Radius Relation
Exoplanet demographics increasingly reveal that planetary properties depend not only on local irradiation and composition but also on the wider system architecture. We analyse a sample of Neptune-sized short-period planets with well-measured masses and radii, identifying those whose host stars harbour at least one confirmed outer-giant (OG) companion. On the mass-radius (M-R) plane, the two populations diverge modestly: inner planets in OG systems cluster at systematically larger radii than the…

Preconditioned subgradient method for composite optimization: overparameterization and fast convergence
Mateo D\'iaz, Liwei Jiang, Abdel Ghani Labassi
https://arxiv.org/abs/2509.11486

Preconditioned subgradient method for composite optimization: overparameterization and fast convergence
Composite optimization problems involve minimizing the composition of a smooth map with a convex function. Such objectives arise in numerous data science and signal processing applications, including phase retrieval, blind deconvolution, and collaborative filtering. The subgradient method achieves local linear convergence when the composite loss is well-conditioned. However, if the smooth map is, in a certain sense, ill-conditioned or overparameterized, the subgradient method exhibits much slow…

Phase stability and structural properties of the K$_{x}$Ca$_{1-x}$N novel ferromagnetic alloy from first-principles
K. Larbaoui, A. Lakdja, G. Bassou
https://arxiv.org/abs/2509.13728

Phase stability and structural properties of the K$_{x}$Ca$_{1-x}$N novel ferromagnetic alloy from first-principles
We study the structural properties and phase stability of the K$_{x}$Ca$_{1-x}$N alloy using the regular-solution model based on the total energy of the mixing. The pseudopotential approach was used along with PBE functional of Perdew, Burke, and Ernzerhof (PBE). We investigated the bond-lengths distribution as a function of composition $x$. We also predicted the phase separation of the two partially miscible components and calculated the enthalpy $ΔH$ using the interaction parameter $Ω$. We …

Story2Board: A Training-Free Approach for Expressive Storyboard Generation
David Dinkevich, Matan Levy, Omri Avrahami, Dvir Samuel, Dani Lischinski
https://arxiv.org/abs/2508.09983

Story2Board: A Training-Free Approach for Expressive Storyboard Generation
We present Story2Board, a training-free framework for expressive storyboard generation from natural language. Existing methods narrowly focus on subject identity, overlooking key aspects of visual storytelling such as spatial composition, background evolution, and narrative pacing. To address this, we introduce a lightweight consistency framework composed of two components: Latent Panel Anchoring, which preserves a shared character reference across panels, and Reciprocal Attention Value Mixing,…

Adaptive LLM-Symbolic Reasoning via Dynamic Logical Solver Composition
Lei Xu, Pierre Beckmann, Marco Valentino, Andr\'e Freitas
https://arxiv.org/abs/2510.06774 https://

Adaptive LLM-Symbolic Reasoning via Dynamic Logical Solver Composition
Neuro-symbolic NLP methods aim to leverage the complementary strengths of large language models and formal logical solvers. However, current approaches are mostly static in nature, i.e., the integration of a target solver is predetermined at design time, hindering the ability to employ diverse formal inference strategies. To address this, we introduce an adaptive, multi-paradigm, neuro-symbolic inference framework that: (1) automatically identifies formal reasoning strategies from problems expr…

Infrared spectral signatures of light r-process elements in kilonovae
Anders Jerkstrand, Quentin Pognan, Smaranika Banerjee, Nicholas Sterling, Jon Grumer, Niamh Ferguson, Keith Butler, James Gillanders, Stephen Smartt, Kyohei Kawaguchi, Blanka Vilagos
https://arxiv.org/abs/2510.12410

Infrared spectral signatures of light r-process elements in kilonovae
A central question regarding neutron star mergers is whether they are able to produce all the r-process elements, from first to third peak. The high abundances of first-peak elements (atomic number $Z \sim 31-40$) in the solar composition means they may dominate the ejecta mass in kilonovae. We here study theoretical infrared signatures of such light elements with spectral synthesis modelling. By combining state-of-the-art NLTE physics with new radiative and collisional data for these elements,…

Series D, Episode 12 - Warlord
AVON: All right, come along and hold her hand if you must, but in the meantime you can make yourself useful, there's a fault on the inner door alignment. [Soolin heads toward the door.]
[Comm room]
https://blake.torpidity.net/m/412/171 B7B4

Diversity in planetary architectures from pebble accretion: Water delivery to the habitable zone with pebble snow
Sean McCloat, Gijs Mulders, Sherry Fieber-Beyer
https://arxiv.org/abs/2509.14101

Diversity in planetary architectures from pebble accretion: Water delivery to the habitable zone with pebble snow
"Pebble snow" describes a planet formation mechanism where icy pebbles in the outer disk reach inner planet embryos as the water ice line evolves inward. We model the effects pebble snow has on sculpting planetary system architectures by developing "The PPOLs Model". The model is capable of growing any number of protoplanet seed masses by pebble accretion simultaneously and accounts for differences in rocky and icy pebble composition, the filtering of pebbles by other protoplanets, the pebble i…

On The Road - To Xi’An/ Urban Spots 🟤
在路上 - 去西安/ 城市的点 🟤
📷 Pentax MX
🎞️Fujifilm Neopan F, expired 1993
#filmphotography #Photography #blackandwhite

Human-AI Collaboration Increases Efficiency in Regulatory Writing
Umut Eser, Yael Gozin, L. Jay Stallons, Ari Caroline, Martin Preusse, Brandon Rice, Scott Wright, Andrew Robertson
https://arxiv.org/abs/2509.09738

Human-AI Collaboration Increases Efficiency in Regulatory Writing
Background: Investigational New Drug (IND) application preparation is time-intensive and expertise-dependent, slowing early clinical development. Objective: To evaluate whether a large language model (LLM) platform (AutoIND) can reduce first-draft composition time while maintaining document quality in regulatory submissions. Methods: Drafting times for IND nonclinical written summaries (eCTD modules 2.6.2, 2.6.4, 2.6.6) generated by AutoIND were directly recorded. For comparison, manual draftin…

Learning User Preferences for Image Generation Model
Wenyi Mo, Ying Ba, Tianyu Zhang, Yalong Bai, Biye Li
https://arxiv.org/abs/2508.08220 https://arxiv.or…

Learning User Preferences for Image Generation Model
User preference prediction requires a comprehensive and accurate understanding of individual tastes. This includes both surface-level attributes, such as color and style, and deeper content-related aspects, such as themes and composition. However, existing methods typically rely on general human preferences or assume static user profiles, often neglecting individual variability and the dynamic, multifaceted nature of personal taste. To address these limitations, we propose an approach built upo…

A Composition-Based Approach to EKR Problems
J. B. Ebrahimi, A. Taherkhani
https://arxiv.org/abs/2509.06207 https://arxiv.org/pdf/2509.06207

A Composition-Based Approach to EKR Problems
Let ${\mathcal F}$ be a family of subsets of a finite set $X$. A subfamily of ${\mathcal F}$ is intersecting if any two members of ${\mathcal F}$ has nonempty intersection. We say ${\mathcal F}$ has the EKR property, if, for any fixed element of $X$ the subfamily of all sets in $\mathcal{F}$ that contain $x$ is an intersecting subfamily of $\mathcal{F}$ of possible maximum size. We say ${\mathcal F}$ has the strong EKR property (the strong EKR property), if every intersecting subfamily of $\mat…

Angle-dependent hardening of the reprocessed spectra in ULXs powered by accretion onto neutron stars
Sricheta Karmakar, Alexander A. Mushtukov, Matthew Middleton
https://arxiv.org/abs/2509.11682

Angle-dependent hardening of the reprocessed spectra in ULXs powered by accretion onto neutron stars
It is anticipated that mass accretion rates exceeding approximately $10^{19}\,{\rm g\,s^{-1}}$ in X-ray pulsars lead to radiation-driven outflows from super-critical accretion discs. The outflows launched from the disc influence the angular distribution of X-ray radiation, resulting in geometrical beaming. The beaming, in turn, impacts the apparent luminosity of the X-ray pulsar, detectability of pulsations, and the spectral composition of the X-ray flux. We employ a straightforward geometrical…

Moody Urbanity - Up Up ⏏️
情绪化城市 - 上面上面 ⏏️
📷 Pentax MX
🎞️ Kentmere Pan 400
#filmphotography #Photography #blackandwhite

Series D, Episode 01 - Rescue
DORIAN: How long before we make planet fall?
SLAVE: One hour, Master. That is Earth standard time, of course. I hope that is satisfactory.
https://blake.torpidity.net/m/401/45 B7B3

Deimos photometric properties: analysis of 20 years of observations (2004-2024) by the Mars Express HRSC camera
A. Wargnier, P. N. Simon, S. Fornasier, N. El-Bez-Sebastien, D. Tirsch, K. -D. Matz, T. Gautier, A. Doressoundiram, M. A. Barucci
https://arxiv.org/abs/2509.12804

Deimos photometric properties: analysis of 20 years of observations (2004-2024) by the Mars Express HRSC camera
The goal of this study is to analyze the photometric properties of Deimos using Mars Express (MEX) observations, to improve the photometric properties and provide new insights into the texture and composition of the surface of Deimos, in preparation for the MMX mission. We analyzed the data obtained by the HRSC and the SRC cameras onboard MEX. The HRSC data, obtained through the use of four filters (blue, green, red, IR), provides 390 to 800 m/px resolution, while the SRC data reach 85 to 300 m…

Structural and Electrocatalytic Properties of La-Co-Ni Oxide Thin Films
Patrick Marx, Shivam Shukla, Alejandro Esteban Perez Mendoza, Florian Lourens, Corina Andronescu, Alfred Ludwig
https://arxiv.org/abs/2509.12946

Structural and Electrocatalytic Properties of La-Co-Ni Oxide Thin Films
La-Co-Ni oxides were fabricated in the form of thin-film materials libraries by combinatorial reactive co-sputtering and analyzed for structural and functional properties over large compositional ranges: normalized to the metals of the film they span about 0 - 70 at.-% for Co, 18 - 81 at.-% for La and 11 - 25 at.-% for Ni. Composition-dependent phase analysis shows formation of three areas with different phase constitutions in dependance of Co-content: In the La-rich region with low Co content,…

City Features III 🌆
城市特征 III 🌆
📷 Nikon FE
🎞️Ilford FP4 Plus, expired 1994
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

#Blakes7 Series D, Episode 06 - Headhunter
ORAC: The survival of organic humanoid life is improbable.
SOOLIN: Are you talking about Vila and Tarrant?
ORAC: All organic humanoid life throughout the galaxy is at hazard.
https://

The Two-Zone Temperature Distribution Model: Inferences on the Structure and Composition of Dusty Protoplanetary Disks
William Grimble, Joel Kastner, B. Sargent, Keivan Stassun
https://arxiv.org/abs/2510.12025

The Two-Zone Temperature Distribution Model: Inferences on the Structure and Composition of Dusty Protoplanetary Disks
In order to understand the mineralogy and structure of protoplanetary disks, it is important to analyze them from both an empirical spectrum-based perspective and a radiative transfer image-based perspective. In a prior paper, we set forth an empirical mineralogy mid-IR spectral model that conveyed spatial information and worked in tandem with a radiative transfer model, which formed the EaRTH Disk Model. In this article, we take the empirical portion of that model, the TZTD model, and refine i…

Moody Urbanity - UP 🔝
情绪化城市 - 上面 🔝
📷 Nikon FE
🎞️ Ilford HP5 Plus 400, expired 1993
#filmphotography #Photography #blackandwhite

Composition-driven magnetic anisotropy and spin polarization in Mn$_2$Ru$_{1-x}$Ga Heusler alloy
Ram\'on Cuadrado
https://arxiv.org/abs/2509.09540 https://

Composition-driven magnetic anisotropy and spin polarization in Mn$_2$Ru$_{1-x}$Ga Heusler alloy
We present a comprehensive investigation of the influence of Ru concentration on the lattice parameters, atomic magnetic moments, electronic structure, and magnetic anisotropy energy of the full Heusler L2$_1$-type Mn$_2$Ru$_{1-x_p}$Ga alloy, where x$_p$ = 0.0834 p with p=0,...,12. This study combines first-principles calculations with data-driven techniques from artificial intelligence, specifically principal component analysis (PCA), to reveal trends and correlations across multiple structura…

City Features 🌆
城市特征 🌆
📷 Pentax MX
🎞️Ilford FP4 Plus, expired 1994
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

Comprehensive Mapping of Tracer Diffusivities Across Composition Space in Ternary NiAlTi and Quinary NiCoFeAlTi High-Entropy Alloy Using Diffusion Couple Experiments and Physics Informed Neural Network Inversion
Ismail Kamil Worke, Suman Sadhu, Saswata Bhattacharyya, Aloke Paul
https://arxiv.org/abs/2509.09486

Comprehensive Mapping of Tracer Diffusivities Across Composition Space in Ternary NiAlTi and Quinary NiCoFeAlTi High-Entropy Alloy Using Diffusion Couple Experiments and Physics Informed Neural Network Inversion
A comprehensive experimental and physics informed neural network numerical inverse diffusion analysis is conducted in technologically important NiAlTi ternary and NiCoFeAlTi quinary solid solutions for estimating and extracting composition dependent diffusion coefficients. A systematic variation of tracer, intrinsic and interdiffusion coefficients with composition could be estimated in the ternary solid solution. Following, the possibility of producing Al Ti constant PB diffusion profiles keepi…

On The Road - To Xi’An/Human Intervention 🚶
在路上 - 去西安/人类遗迹 🚶
📷 Pentax MX
🎞️Lucky SHD 400
#filmphotography #Photography #blackandwhite

On The Road - To Xi’An/ Silhouette 👤
在路上 - 去西安/ 轮廓 👤
📷 Pentax MX
🎞️Lucky SHD 400
#filmphotography #Photography #blackandwhite