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Crafting Hanzi as Narrative Bridges: An AI Co-Creation Workshop for Elderly Migrants
Wen Zhan, Ziqun Hua, Peiyue Lin, Yunfei Chen
https://arxiv.org/abs/2507.01548

Crafting Hanzi as Narrative Bridges: An AI Co-Creation Workshop for Elderly Migrants
This paper explores how older adults, particularly aging migrants in urban China, can engage AI-assisted co-creation to express personal narratives that are often fragmented, underrepresented, or difficult to verbalize. Through a pilot workshop combining oral storytelling and the symbolic reconstruction of Hanzi, participants shared memories of migration and recreated new character forms using Xiaozhuan glyphs, suggested by the Large Language Model (LLM), together with physical materials. Suppo…

Qatar, Saudi, Egypt join call for Hamas to disarm, give up Gaza rule - #France24
https://www.france24.com/en/live-news/20250729-qatar…

"Außenminister #Wadephul sagt #Israel weitere #Waffenlieferungen zu".
Wie unmoralisch ist das denn? Waffen, die das terroristische Regime Netanjahu gegen Frauen, Kinder, Kranke und Alte genau…

Krieg in Gaza: Hamas berichtet von weiteren Toten bei Verteilzentrum
Israels Armee soll mindestens drei Palästinenser getötet und Dutzende verletzt haben. Der US-Botschafter schlägt einen Palästinenserstaat in Frankreich vor. Das Liveblog

Magnetic dynamics in NiTiO3 honeycomb antiferromagnet using neutron scattering
Srimal Rathnayaka, Luke Daemen, Tao Hong, Songxue Chi, Stuart Calder, John A. Schneeloch, Yongqiang Cheng, Bing Li, Despina Louca
https://arxiv.org/abs/2509.00513

Magnetic dynamics in NiTiO3 honeycomb antiferromagnet using neutron scattering
The ilmenite NiTiO3 consists of a buckled honeycomb lattice, with the Ni spins aligned ferromagnetically in-plane and antiferromagnetically out-of-plane. Using neutron spectroscopy, the magnetic structure and the dynamics were investigated as a function of temperature. Dispersive acoustic bands and nearly dispersionless optical bands at ~3.7 meV are described by a highly anisotropy Heisenberg model with stronger antiferromagnetic (AFM) out-of-plane, weaker ferromagnetic (FM) in-plane interactio…

Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling
Prachi Jadhav, Hongwei Jin, Ewa Deelman, Prasanna Balaprakash
https://arxiv.org/abs/2506.02025

Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling
High-Performance Computing (HPC) job scheduling involves balancing conflicting objectives such as minimizing makespan, reducing wait times, optimizing resource use, and ensuring fairness. Traditional methods, including heuristic-based (e.g., First-Come-First-Served) or intensive optimization techniques, often lack adaptability to dynamic workloads and heterogeneous HPC systems. To address this, we propose a novel Large Language Model (LLM)-based scheduler using a ReAct-style framework (Reason +…

Glitch analysis and asteroseismic modelling of subgiant $\mu$ Herculis: confirming and interpreting the $\Gamma_1$ peak as the helium glitch
Advik Gupta, Kuldeep Verma, Hans Kjeldsen, Frank Grundahl, J{\o}rgen Christensen-Dalsgaard, Mark L. Winther, Jakob L. R{\o}rsted, Amalie Stokholm, V\'ictor Aguirre B{\o}rsen-Koch
https://arxiv.org…

Glitch analysis and asteroseismic modelling of subgiant $μ$ Herculis: confirming and interpreting the $Γ_1$ peak as the helium glitch
The measurements of pressure-mode and mixed-mode oscillation frequencies in subgiant stars offer a unique opportunity to probe their internal structures -- from the surface to the deep interior -- and to precisely determine their global properties. We have conducted a detailed asteroseismic analysis of the benchmark subgiant $μ$ Herculis using eight seasons of radial velocity observations from the SONG telescope, and have determined its mass, radius, age, and surface helium abundance to be $1.…

AREE-Based Decoupled Design of Hybrid Beamformers in mmWave XL-MIMO Systems
Jiazhe Li, Nicol\`o Decarli, Francesco Guidi, Heng Dong, Anna Guerra, Alessandro Bazzi, Zhuoming Li
https://arxiv.org/abs/2507.02802

AREE-Based Decoupled Design of Hybrid Beamformers in mmWave XL-MIMO Systems
Hybrid beamforming has been widely employed in mmWave communications such as vehicular-to-everything (V2X) scenarios, as a compromise between hardware complexity and spectral efficiency. However, the inherent coupling between analog and digital precoders in hybrid array architecture significantly limits the computational and spectral efficiency of existing algorithms. To address this issue, we propose an alternating residual error elimination (AREE) algorithm, which decomposes the hybrid beamfo…

Replaced article(s) found for eess.IV. https://arxiv.org/list/eess.IV/new
[1/1]:
- Navigating Distribution Shifts in Medical Image Analysis: A Survey
Zixian Su, Jingwei Guo, Xi Yang, Qiufeng Wang, Frans Coenen, Kaizhu Huang

Cross-attention and Self-attention for Audio-visual Speaker Diarization in MISP-Meeting Challenge
Zhaoyang Li, Haodong Zhou, Longjie Luo, Xiaoxiao Li, Yongxin Chen, Lin Li, Qingyang Hong
https://arxiv.org/abs/2506.02621

Cross-attention and Self-attention for Audio-visual Speaker Diarization in MISP-Meeting Challenge
This paper presents the system developed for Task 1 of the Multi-modal Information-based Speech Processing (MISP) 2025 Challenge. We introduce CASA-Net, an embedding fusion method designed for end-to-end audio-visual speaker diarization (AVSD) systems. CASA-Net incorporates a cross-attention (CA) module to effectively capture cross-modal interactions in audio-visual signals and employs a self-attention (SA) module to learn contextual relationships among audio-visual frames. To further enhance p…

A Transformer-Based Neural Network for Optimal Deterministic-Allocation and Anonymous Joint Auction Design
Zhen Zhang, Luowen Liu, Wanzhi Zhang, Zitian Guo, Kun Huang, Qi Qi, Qiang Liu, Xingxing Wang
https://arxiv.org/abs/2506.02435

A Transformer-Based Neural Network for Optimal Deterministic-Allocation and Anonymous Joint Auction Design
With the advancement of machine learning, an increasing number of studies are employing automated mechanism design (AMD) methods for optimal auction design. However, all previous AMD architectures designed to generate optimal mechanisms that satisfy near dominant strategy incentive compatibility (DSIC) fail to achieve deterministic allocation, and some also lack anonymity, thereby impacting the efficiency and fairness of advertising allocation. This has resulted in a notable discrepancy between…