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Analysis of the Supernova Remnant IC 443 using H.E.S.S. Data
Alison M. W. Mitchell (for the H.E.S.S. Collaboration), Lukas Grosspietsch (for the H.E.S.S. Collaboration), Tina Wach (for the H.E.S.S. Collaboration)
https://arxiv.org/abs/2510.02843

Analysis of the Supernova Remnant IC 443 using H.E.S.S. Data
IC 443 is a well-known supernova remnant that stands out due to its interaction with a dense molecular cloud, creating a complex environment where shocks can efficiently accelerate particles to high energies. This makes it a key target for investigating the mechanisms of cosmic-ray acceleration and gamma-ray production, particularly in the context of supernova remnants as potential sources of PeV cosmic rays. This work presents a first analysis of the region as observed by H.E.S.S.. We detect e…

🇺🇦 #NowPlaying on BBCRadio3's #ClassicalLive
George Frideric Handel, Hilary Cronin, Hugh Cutting, Stuart Jackson, Irish Baroque Orchestra, Irish Baroque Chorus & Peter Whelan:
🎵 Alexander's Feast
#GeorgeFridericHandel #HilaryCronin #HughCutting #StuartJackson

Elon Musk launches encyclopedia 'fact-checked' by AI and aligning with rightwing views (Chris Michael/The Guardian)
https://www.theguardian.com/technology/2025/oct/28/elon-musk-grokipedia
http://www.memeorandum.com/251028/p90#a251028p90

CEDex: Cross-Embodiment Dexterous Grasp Generation at Scale from Human-like Contact Representations
Zhiyuan Wu, Rolandos Alexandros Potamias, Xuyang Zhang, Zhongqun Zhang, Jiankang Deng, Shan Luo
https://arxiv.org/abs/2509.24661

CEDex: Cross-Embodiment Dexterous Grasp Generation at Scale from Human-like Contact Representations
Cross-embodiment dexterous grasp synthesis refers to adaptively generating and optimizing grasps for various robotic hands with different morphologies. This capability is crucial for achieving versatile robotic manipulation in diverse environments and requires substantial amounts of reliable and diverse grasp data for effective model training and robust generalization. However, existing approaches either rely on physics-based optimization that lacks human-like kinematic understanding or require…

In #Brandenburg kann man im #Wald auf #Fließe treffen, die durch den #Klimawandel noch nicht au…

Wavelength-tunable femtosecond pulsed laser for the characterisation of solid-state sensors
Enoch Ejopu, Oscar Augusto de Aguiar Francisco, Nawal Al Amairi, Huazhen Li, Marco Gersabeck, Alexander Oh, Christopher Parkes, Patrick Parkinson, Francisca Munoz Sanchez, Charles Smith
https://arxiv.org/abs/2509.01546…

Wavelength-tunable femtosecond pulsed laser for the characterisation of solid-state sensors
The Two-Photon Absorption (TPA) process provides an excellent method for the characterisation of solid-state sensors due to its intrinsic 3D resolution for the excitation of electron-hole pairs. This paper presents the commissioning of a system composed of a Light Conversion PHAROS laser read out with an ORPHEUS optical parametric amplifier with tuneable output wavelength across $310-16000$~nm. This is one of the few facilities suitable for particle physics detector applications with a very wid…

GraSP: A Unified Graph-Based Framework for Scalable Generation, Quality Tagging, and Management of Synthetic Data for SFT and DPO
Bidyapati Pradhan, Surajit Dasgupta, Amit Kumar Saha, Omkar Anustoop, Sriram Puttagunta, Vipul Mittal, Gopal Sarda
https://arxiv.org/abs/2508.15432

GraSP: A Unified Graph-Based Framework for Scalable Generation, Quality Tagging, and Management of Synthetic Data for SFT and DPO
The advancement of large language models (LLMs) is critically dependent on the availability of high-quality datasets for Supervised Fine-Tuning (SFT), alignment tasks like Direct Preference Optimization (DPO), etc. In this work, we present a comprehensive synthetic data generation framework that facilitates scalable, configurable, and high-fidelity generation of synthetic data tailored for these training paradigms. Our approach employs a modular and configuration-based pipeline capable of model…

One Agent to Serve All: a Lite-Adaptive Stylized AI Assistant for Millions of Multi-Style Official Accounts
Xingyu Fan, Feifei Li, Wenhui Que, Hailong Li
https://arxiv.org/abs/2509.17788

One Agent to Serve All: a Lite-Adaptive Stylized AI Assistant for Millions of Multi-Style Official Accounts
Conversational agents deployed in industrial-scale official account platforms must generate responses that are both contextually grounded and stylistically aligned-requirements that existing methods struggle to meet. Chain-of-thought (CoT) prompting induces significant latency due to multi-turn reasoning; per-account fine-tuning is computationally prohibitive; and long prompt-based methods degrade the model's ability to grasp injected context and style. In this paper, we propose WeStar, a lite-…

High-Bandwidth Tactile-Reactive Control for Grasp Adjustment
Yonghyeon Lee, Tzu-Yuan Lin, Alexander Alexiev, Sangbae Kim
https://arxiv.org/abs/2509.15876 https://

High-Bandwidth Tactile-Reactive Control for Grasp Adjustment
Vision-only grasping systems are fundamentally constrained by calibration errors, sensor noise, and grasp pose prediction inaccuracies, leading to unavoidable contact uncertainty in the final stage of grasping. High-bandwidth tactile feedback, when paired with a well-designed tactile-reactive controller, can significantly improve robustness in the presence of perception errors. This paper contributes to controller design by proposing a purely tactile-feedback grasp-adjustment algorithm. The pro…

🇺🇦 #NowPlaying on BBCRadio3's #TheEarlyMusicShow
George Frideric Handel, William Berger, Ludus Baroque & Richard Neville-Towle:
🎵 Bacchus, ever fair and young (Alexander's Feast, Part 1)
#GeorgeFridericHandel #WilliamBerger #LudusBaroque #RichardNevilleTowle
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