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„Peinliche“ Italiener - „Schande, Albtraum!“ Eine Topnation liegt am Boden #News #Nachrichten

"Bits & Böses": Wenn der beste Freund zum digitalen Stalker wird
In der zweiten Folge des heise-Podcasts erzählt eine junge Frau davon, wie aus einer Freundschaft ein Albtraum für sie und ihre Familie wurde.

Sonnet 078 - LXXVIII
So oft have I invoked thee for my Muse,
And found such fair assistance in my verse
As every alien pen hath got my use
And under thee their poesy disperse.
Thine eyes, that taught the dumb on high to sing
And heavy ignorance aloft to fly,
Have added feathers to the learned's wing
And given grace a double majesty.
Yet be most proud of that which I compile,
Whose influence is thine, and born of thee:
In o…

This https://arxiv.org/abs/2506.03568 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Confidence-Guided Human-AI Collaboration: Reinforcement Learning with Distributional Proxy Value Propagation for Autonomous Driving
Autonomous driving promises significant advancements in mobility, road safety and traffic efficiency, yet reinforcement learning and imitation learning face safe-exploration and distribution-shift challenges. Although human-AI collaboration alleviates these issues, it often relies heavily on extensive human intervention, which increases costs and reduces efficiency. This paper develops a confidence-guided human-AI collaboration (C-HAC) strategy to overcome these limitations. First, C-HAC employ…

Rethinking Contrastive Learning in Session-based Recommendation
Xiaokun Zhang, Bo Xu, Fenglong Ma, Zhizheng Wang, Liang Yang, Hongfei Lin
https://arxiv.org/abs/2506.05044

Rethinking Contrastive Learning in Session-based Recommendation
Session-based recommendation aims to predict intents of anonymous users based on limited behaviors. With the ability in alleviating data sparsity, contrastive learning is prevailing in the task. However, we spot that existing contrastive learning based methods still suffer from three obstacles: (1) they overlook item-level sparsity and primarily focus on session-level sparsity; (2) they typically augment sessions using item IDs like crop, mask and reorder, failing to ensure the semantic consist…

Fun fact: #Xi Jinping has probably spent more time with #Iowa farmers in Iowa than Trump, albeit much less recently.
It goes without saying which has spent more time with the Chinese proletariat.

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification
Emiliano Acevedo, Mart\'in Rocamora, Magdalena Fuentes
https://arxiv.org/abs/2506.04376

Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification
Audio-text models are widely used in zero-shot environmental sound classification as they alleviate the need for annotated data. However, we show that their performance severely drops in the presence of background sound sources. Our analysis reveals that this degradation is primarily driven by SNR levels of background soundscapes, and independent of background type. To address this, we propose a novel method that quantifies and integrates the contribution of background sources into the classifi…

Alleviating Attack Data Scarcity: SCANIA's Experience Towards Enhancing In-Vehicle Cyber Security Measures
Frida Sundfeldt, Bianca Widstam, Mahshid Helali Moghadam, Kuo-Yun Liang, Anders Vesterberg
https://arxiv.org/abs/2507.02607

Alleviating Attack Data Scarcity: SCANIA's Experience Towards Enhancing In-Vehicle Cyber Security Measures
The digital evolution of connected vehicles and the subsequent security risks emphasize the critical need for implementing in-vehicle cyber security measures such as intrusion detection and response systems. The continuous advancement of attack scenarios further highlights the need for adaptive detection mechanisms that can detect evolving, unknown, and complex threats. The effective use of ML-driven techniques can help address this challenge. However, constraints on implementing diverse attack…

Three Hot Jupiters transiting K-dwarfs with a significant heavy element mass
Y. G. C. Frensch, F. Bouchy, G. Lo Curto, S. Ulmer-Moll, S. G. Sousa, N. C. Santos, K. G. Stassun, C. N. Watkins, H. Chakraborty, K. Barkaoui, M. Battley, W. Ceva, K. A. Collins, T. Daylan, P. Evans, J. P. Faria, C. Farret Jentink, E. Fontanet, E. Frid\'en, G. Furesz, M. Gillon, N. Grieves, C. Hellier, E. Jehin, J. M. Jenkins, L. K. W. Kwok, D. W. Latham, B. Lavie, N. Law, A. W. Mann, F. Murgas, E. Palle, …

Three Hot Jupiters transiting K-dwarfs with a significant heavy element mass
Albeit at a lower frequency than around hotter stars, short-period gas giants around low-mass stars ($T_\mathrm{eff} < 4965$ K) do exist, despite predictions from planetary population synthesis models that such systems should be exceedingly rare. By combining data from TESS and ground-based follow-up observations, we seek to confirm and characterize giant planets transiting K dwarfs, particularly mid/late K dwarfs. Photometric data were obtained from the TESS mission, supplemented by ground-bas…

Centaur Nuclei: Sizes, Shapes, Spins, and Structure
Y. R. Fernandez, M. W. Buie, P. Lacerda, R. Marschall
https://arxiv.org/abs/2506.04483 https://

Centaur Nuclei: Sizes, Shapes, Spins, and Structure
We present a wide-ranging but in-depth analysis of Centaurs, focusing on their physical and structural aspects. Centaurs, originating from the Scattered Disk and Kuiper Belt, play a crucial role in our understanding of Solar System evolution. We first examine how biases in discovery and measurement affect our understanding of the Centaur size distribution. In particular we address the strong dependence of the census on perihelion distance and the broad distribution of Centaur geometric albedos.…