Tootfinder

Ultralow Lattice Thermal Conductivity Induced by Quasi-Chain Configuration in Rb2Se3
Tiantian Jia, Yongsen Tang, Yongsheng Zhang
https://arxiv.org/abs/2507.21634 https://…

Ultralow Lattice Thermal Conductivity Induced by Quasi-Chain Configuration in Rb2Se3
Alkali metal-based compounds have garnered significant attention due to their exceptionally low lattice thermal conductivity, which is crucial for applications in thermoelectric energy conversion and thermal barrier coatings. However, the fundamental mechanisms underlying such ultralow lattice thermal conductivity remain poorly understood. In this study, we investigate the intrinsic origins of the ultralow lattice thermal conductivity in the alkali metal-based ionic compound Rb2Se3, which exhib…

Olive Tree Satellite Image Segmentation Based On SAM and Multi-Phase Refinement
Amir Jmal, Chaima Chtourou, Mahdi Louati, Abdelaziz Kallel, Houda Khmila
https://arxiv.org/abs/2508.20954

Olive Tree Satellite Image Segmentation Based On SAM and Multi-Phase Refinement
In the context of proven climate change, maintaining olive biodiversity through early anomaly detection and treatment using remote sensing technology is crucial, offering effective management solutions. This paper presents an innovative approach to olive tree segmentation from satellite images. By leveraging foundational models and advanced segmentation techniques, the study integrates the Segment Anything Model (SAM) to accurately identify and segment olive trees in agricultural plots. The met…

I’m sure it's funny, @… always is.
However, I am so glad that I don’t get that joke. I mean, I can theorize about whether that is user input or the LLM complaining or whatever, but not recognizing the context is comforting.

CatSalad🐈🥗 (D.Burch) :blobcatrainbow: (@catsalad@infosec.exchange)
Attached: 1 image You've been coding for 10+ years? Wow, you must be a really good programmer then!

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Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations
Laura Quintana-quintana (Institute For Applied Microelectronics), Mark Witteveen (Image-guided Surgery, Department Of Surgery, The Netherlands Cancer Institute, Amsterdam, Netherlands), Behdad Dashtbozorg (Image-guided Surgery, Department Of Surgery, The Netherlands Cancer Institute, Amsterdam, Netherlands), Samuel Ortega (Norwegian Institute Of Food, Fisheries and …

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations
Recent advancements in multispectral (MS) and hyperspectral (HS) microscopy have focused on sensor and system improvements, yet sample processing remains overlooked. We conducted an analysis of the literature, revealing that 40 percent of studies do not report sample thickness. Among those that did report it, the vast majority, 98 percent, used 2 to 10 micrometer samples. This study investigates the impact of unstained sample thickness on MS/HS image quality through light transport simulations.…

A Graph-Based Test-Harness for LLM Evaluation
Jessica Lundin, Guillaume Chabot-Couture
https://arxiv.org/abs/2508.20810 https://arxiv.org/pdf/2508.20810

A Graph-Based Test-Harness for LLM Evaluation
We present a first known prototype of a dynamic, systematic benchmark of medical guidelines for 400+ questions, with 3.3+ trillion possible combinations, covering 100\% of guideline relationships. We transformed the WHO IMCI handbook into a directed graph with 200+ nodes (conditions, symptoms, treatments, follow-ups, severities) and 300+ edges, then used graph traversal to generate questions that incorporated age-specific scenarios and contextual distractors to ensure clinical relevance. Our gr…

Ionic emissions and activity evolution in comet C/2020 F3 (NEOWISE): Insights from long-slit spectroscopy and photometry
K. Aravind, E. Jehin, S. Hmmidouch, M. Vander Donckt, S. Ganesh, P. Rousselot, P. Hardy, D. Sahu, J. Manfroid, Z. Benkhaldoun
https://arxiv.org/abs/2507.21707

Ionic emissions and activity evolution in comet C/2020 F3 (NEOWISE): Insights from long-slit spectroscopy and photometry
Comet C/2020 F3 (NEOWISE) was the brightest comet in the northern hemisphere since C/1995 O1 (Hale-Bopp), providing a unique opportunity to study its composition and spatial distribution of emissions. We conducted narrow-band photometry and long-slit low-resolution spectroscopy to monitor the comet's activity and compositional evolution over several weeks post-perihelion. Narrow-band images (OH, NH, CN, C$_2$, C$_3$, BC, GC, RC) and broad-band images (B, V, Rc, Ic) were acquired with TRAPPIST-N…

Study of thorium in hypersonic gas jets: Ionization potentials of Th and Th$^ $
A. Claessens, F. Ivandikov, M. Brasseur, A. Dragoun, Ch. E. D\"ullmann, R. Ferrer, Yu. Kudryavtsev, P. Palmeri, P. Quinet, S. Raeder, D. Renisch, P. Van den Bergh, P. Van Duppen
https://arxiv.org/abs/2507.21946 https://arxiv.org/pdf/2507.21946 https://arxiv.org/html/2507.21946
arXiv:2507.21946v1 Announce Type: new
Abstract: Laser ionization spectroscopy was performed on both neutral and singly ionized $^{232}$Th with the aim of identifying the nuclear-clock isomer in the singly charged ionic state of $^{229}$Th. A search for an efficient laser ionization scheme of $^{232}$Th$^ $ was conducted in an argon-filled gas cell. This revealed a congested spectrum due to collisional quenching effects and the presence of several auto-ionizing states, one of which has a laser ionization efficiency of at least $1.2 \%$. Using a threshold approach, the second ionization potential was determined to be $12.300(9)\,$eV. The subsequent study on atomic $^{232}$Th validated the threshold approach. Conducting spectroscopy in a hypersonic gas jet, suppressed the gas-collision-induced quenching, revealing a Rydberg series that converges to the first ionization potential, determined to be $6.306879(14)\,$eV. The gas jet also cools down the thorium, allowing for high-resolution laser spectroscopy with a resolution of $240(30)\,$MHz. Using the Multiconfigurational Dirac-Hartree-Fock (MCDHF) method, the ionization potentials were computed, showing a relative difference of 0.06\% and 0.19\% between theory and our experimental values for the ionization potentials of Th and Th$^ $ respectively. Further calculations using a pseudo-relativistic Hartree-Fock method reveal strong mixing in the used intermediate state at $26113.27\,$cm$^{-1}$ of Th. A dedicated fast-extraction gas cell with $^{233}$U recoil sources was used to study $^{229}$Th$^ $ but no photo-ionization signal could be observed.
toXiv_bot_toot

OneReward: Unified Mask-Guided Image Generation via Multi-Task Human Preference Learning
Yuan Gong, Xionghui Wang, Jie Wu, Shiyin Wang, Yitong Wang, Xinglong Wu
https://arxiv.org/abs/2508.21066

OneReward: Unified Mask-Guided Image Generation via Multi-Task Human Preference Learning
In this paper, we introduce OneReward, a unified reinforcement learning framework that enhances the model's generative capabilities across multiple tasks under different evaluation criteria using only \textit{One Reward} model. By employing a single vision-language model (VLM) as the generative reward model, which can distinguish the winner and loser for a given task and a given evaluation criterion, it can be effectively applied to multi-task generation models, particularly in contexts with va…

Event-Enriched Image Analysis Grand Challenge at ACM Multimedia 2025
Thien-Phuc Tran, Minh-Quang Nguyen, Minh-Triet Tran, Tam V. Nguyen, Trong-Le Do, Duy-Nam Ly, Viet-Tham Huynh, Khanh-Duy Le, Mai-Khiem Tran, Trung-Nghia Le
https://arxiv.org/abs/2508.18904

Event-Enriched Image Analysis Grand Challenge at ACM Multimedia 2025
The Event-Enriched Image Analysis (EVENTA) Grand Challenge, hosted at ACM Multimedia 2025, introduces the first large-scale benchmark for event-level multimodal understanding. Traditional captioning and retrieval tasks largely focus on surface-level recognition of people, objects, and scenes, often overlooking the contextual and semantic dimensions that define real-world events. EVENTA addresses this gap by integrating contextual, temporal, and semantic information to capture the who, when, whe…