Tootfinder

Als vor gut zehn Jahren der Journalist und LGBTQ -Aktivst Eric Lembembe in seiner Wohnung in Jaunde ermordet wird, beginnt der in Kamerun geborene Berliner Regisseur Appolain Siewe sich mit der grassierenden Homophobie in Kamerun zu beschäftigen. Sein Dokumentarfilm CODE DER ANGST zeigt Siewes Versuch, die Ursachen des Hasses zu verstehen.

Doku über Homosexualität in Kamerun: Suchen gegen alle Widerstände
Wer sich engagiert, muss mit Repression rechnen: Der Dokumentarfilm „Code der Angst“ von Appolain Siewe geht der Homophobie in Kamerun nach.

MERIT: Multilingual Semantic Retrieval with Interleaved Multi-Condition Query
Wei Chow, Yuan Gao, Linfeng Li, Xian Wang, Qi Xu, Hang Song, Lingdong Kong, Ran Zhou, Yi Zeng, Yidong Cai, Botian Jiang, Shilin Xu, Jiajun Zhang, Minghui Qiu, Xiangtai Li, Tianshu Yang, Siliang Tang, Juncheng Li
https://arxiv.org/abs/2506.03144

MERIT: Multilingual Semantic Retrieval with Interleaved Multi-Condition Query
Semantic retrieval is crucial for modern applications yet remains underexplored in current research. Existing datasets are limited to single languages, single images, or singular retrieval conditions, often failing to fully exploit the expressive capacity of visual information as evidenced by maintained performance when images are replaced with captions. However, practical retrieval scenarios frequently involve interleaved multi-condition queries with multiple images. Hence, this paper introduc…

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs
Yufa Zhou, Shaobo Wang, Xingyu Dong, Xiangqi Jin, Yifang Chen, Yue Min, Kexin Yang, Xingzhang Ren, Dayiheng Liu, Linfeng Zhang
https://arxiv.org/abs/2506.00577

Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs
Directly training Large Language Models (LLMs) for Multi-Agent Systems (MAS) remains challenging due to intricate reward modeling, dynamic agent interactions, and demanding generalization requirements. This paper explores whether post-training techniques, specifically Supervised Fine-Tuning (SFT) and Reinforcement Learning with Verifiable Rewards (RLVR), can effectively $\textit{generalize}$ to multi-agent scenarios. We use economic reasoning as a testbed, leveraging its strong foundations in m…

State Similarity in Modular Superconducting Quantum Processors with Classical Communications
Bujiao Wu, Changrong Xie, Peng Mi, Zhiyi Wu, Zechen Guo, Peisheng Huang, Wenhui Huang, Xuandong Sun, Jiawei Zhang, Libo Zhang, Jiawei Qiu, Xiayu Linpeng, Ziyu Tao, Ji Chu, Ji Jiang, Song Liu, Jingjing Niu, Yuxuan Zhou, Yuxuan Du, Wenhui Ren, Youpeng Zhong, Tongliang Liu, Dapeng Yu

State Similarity in Modular Superconducting Quantum Processors with Classical Communications
As quantum devices continue to scale, distributed quantum computing emerges as a promising strategy for executing large-scale tasks across modular quantum processors. A central challenge in this paradigm is verifying the correctness of computational outcomes when subcircuits are executed independently following circuit cutting. Here we propose a cross-platform fidelity estimation algorithm tailored for modular architectures. Our method achieves substantial reductions in sample complexity compar…

A case-control study in twins, from Denmark: "Tattoo ink exposure is associated with lymphoma and skin cancers"
BMC Public Health
https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-025-21413-3

Tattoo ink exposure is associated with lymphoma and skin cancers – a Danish study of twins - BMC Public Health
Background We aim to study the potential association between tattoo ink exposure and development of certain types of cancers in the recently established Danish Twin Tattoo Cohort. Tattoo ink is known to transfer from skin to blood and accumulate in regional lymph nodes. We are concerned that tattoo ink induces inflammation at the deposit site, leading to chronic inflammation and increasing risk of abnormal cell proliferation, especially skin cancer and lymphoma. Methods We conducted two designs…

Graph neural network model for the era of large atomistic models
Duo Zhang, Anyang Peng, Chun Cai, Wentao Li, Yuanchang Zhou, Jinzhe Zeng, Mingyu Guo, Chengqian Zhang, Bowen Li, Hong Jiang, Tong Zhu, Weile Jia, Linfeng Zhang, Han Wang
https://arxiv.org/abs/2506.01686

Graph neural network model for the era of large atomistic models
Foundation models, or large atomistic models (LAMs), aim to universally represent the ground-state potential energy surface (PES) of atomistic systems as defined by density functional theory (DFT). The scaling law is pivotal in the development of large models, suggesting that their generalizability in downstream tasks consistently improves with increased model size, expanded training datasets, and larger computational budgets. In this study, we present DPA3, a multi-layer graph neural network f…

🇺🇦 #NowPlaying on #BBC6Music's #LoudAndProud
TAAHLIAH:
🎵 Heavenrise
#TAAHLIAH
https://taahliah.bandcamp.com/track/heavenrise
https://open.spotify.com/track/3h5TUyJlnfFnU5E9gi8EUf

🇺🇦 #NowPlaying on #BBC6Music's #LoudAndProud
TAAHLIAH:
🎵 Heavenrise
#TAAHLIAH
https://taahliah.bandcamp.com/track/heavenrise
https://open.spotify.com/track/3h5TUyJlnfFnU5E9gi8EUf

First Lasing and Stable Operation of a Direct-Amplification Enabled Harmonic Generation Free-Electron laser
Zheng Qi, Junhao Liu, Lanpeng Ni, Tao Liu, Zhen Wang, Kaiqing Zhang, Hanxiang Yang, Zhangfeng Gao, Nanshun Huang, Si Chen, Hang Luo, Yaozong Xiao, Cheng Yu, Yongmei Wen, Fei Gao, Yangyang Lei, Huan Zhao, Yanyan Zhu, Liping Sun, Weiyi Yin, Xingtao Wang, Taihe Lan, Xiaoqing Liu, Lie Feng, Wenyan Zhang, Ximing Zhang, Bin Li, Chao Feng, Bo Liu, Zhentang Zhao

First Lasing and Stable Operation of a Direct-Amplification Enabled Harmonic Generation Free-Electron laser
Seeded free-electron lasers (FELs) capable of operating at repetition rates up to the MHz level are in high demand for advanced time-resolved spectroscopies, which require both full longitudinal coherence and high average photon flux in the extreme ultraviolet (EUV) and x-ray regimes. However, conventional external-seed laser systems cannot sustain MHz operation with sufficient hundreds of megawatts peak power requirement due to their limited total power. Here, we report the first lasing and st…