Tootfinder

The Italian port of Ravenna on Thursday refused to load two containers filled with explosives for shipment to Israel,
following a request by local authorities,
according to a statement issued by the city’s municipality.
Ravenna’s mayor, Alessandro Barattoni, said in a statement: 
“Thanks to courageous dockers,
we were informed last night of the scheduled arrival today of two containers to the Ravenna port” 
Ravenna, along with provincial leaders and the re…

Italian port refuses to load containers of explosives bound for Israel
The Italian port of Ravenna on Thursday refused to load two containers filled with explosives for shipment to Israel, following a request by local authorities, according to a statement issued by th…

A thousand years ago, I began to abandon the idea of becoming a lawyer because (without having a clue what I was doing) I installed the now defunct Mandrake Linux with KDE on my PC.
But the feeling of success (and feeling like a real hacker) came when I opened the Amarok player and was able to play 'Comfort Eagle' by CAKE. It worked on right away! Now I feel nostalgic every time I hear it.
Looking back, I think that was a key moment.

Hard-Stop Synthesis for Multi-DOF Compliant Mechanisms
Dean Chen, Armin Pomeroy, Brandon T. Peterson, Will Flanagan, He Kai Lim, Alexandra Stavrakis, Nelson F. SooHoo, Jonathan B. Hopkins, Tyler R. Clites
https://arxiv.org/abs/2507.13455

Hard-Stop Synthesis for Multi-DOF Compliant Mechanisms
Compliant mechanisms have significant potential in precision applications due to their ability to guide motion without contact. However, an inherent vulnerability to fatigue and mechanical failure has hindered the translation of compliant mechanisms to real-world applications. This is particularly challenging in service environments where loading is complex and uncertain, and the cost of failure is high. In such cases, mechanical hard stops are critical to prevent yielding and buckling. Convent…

Non-radial solutions for the critical quasi-linear H\'{e}non equation involving $p$-Laplacian in $\R^N$
Wei Dai, Lixiu Duan, Changfeng Gui, Yuan Li
https://arxiv.org/abs/2508.13539

Non-radial solutions for the critical quasi-linear Hénon equation involving $p$-Laplacian in $\R^N$
In this paper, we investigate the following $D^{1,p}$-critical quasi-linear Hénon equation involving $p$-Laplacian \begin{equation*}\label{00} \left\{ \begin{aligned} &-Δ_p u=|x|^αu^{p_\al^*-1}, & x\in \R^N, \\ &u>0, & x\in \R^N, \end{aligned} \right. \end{equation*} where $N\geq2$, $10$. By carefully studying the linearized problem and applying the approximation method and bifurcation theory, we prove that, when the parameter $\al$ ta…

10 Easy Daily Habits That Reduce Dementia Risk After 40 (And 3 Common Behaviors That Accelerate It), According to Alzheimer’s Researchers ht…

Generalize across Homophily and Heterophily: Hybrid Spectral Graph Pre-Training and Prompt Tuning
Haitong Luo, Suhang Wang, Weiyao Zhang, Ruiqi Meng, Xuying Meng, Yujun Zhang
https://arxiv.org/abs/2508.11328

Generalize across Homophily and Heterophily: Hybrid Spectral Graph Pre-Training and Prompt Tuning
Graph ``pre-training and prompt-tuning'' aligns downstream tasks with pre-trained objectives to enable efficient knowledge transfer under limited supervision. However, existing methods rely on homophily-based low-frequency knowledge, failing to handle diverse spectral distributions in real-world graphs with varying homophily. Our theoretical analysis reveals a spectral specificity principle: optimal knowledge transfer requires alignment between pre-trained spectral filters and the intrinsic spe…

Jobs at https://alignmentalignment.ai/jobs
CAAAC is an open, dynamic, inclusive environment, where all perspectives are welcomed as long as you believe AGI will annihilate all humans in the next six months. We offer competitive salaries and generous benefits, including no performance management becaus…

Generative AI in Training and Coaching: Redefining the Design Process of Learning Materials
Alexander Komar, Marc-Andr\'e Heidelmann, Kristina Schaaff
https://arxiv.org/abs/2508.11662

Generative AI in Training and Coaching: Redefining the Design Process of Learning Materials
Generative artificial intelligence (GenAI) is transforming education, redefining the role of trainers and coaches in learning environments. In our study, we explore how AI integrates into the design process of learning materials, assessing its impact on efficiency, pedagogical quality, and the evolving role of human trainers and coaches. Through qualitative interviews with professionals in education and corporate training, we identify the following key topics: trainers and coaches increasingly …

Aeos is Mixing it Up: The (In)homogeneity of Metal Mixing Following Population III Star Formation
Jennifer Mead, Kaley Brauer, Greg L. Bryan, Mordecai-Mark Mac Low, Alexander P. Ji, John H. Wise, Eric P. Andersson, Anna Frebel, Andrew Emerick, Benoit C\^ot\'e
https://arxiv.org/abs/2509.13580

Aeos is Mixing it Up: The (In)homogeneity of Metal Mixing Following Population III Star Formation
Stellar surface abundances are records of the state of the gas from which stars formed, and thus trace how individual elements have mixed into the surrounding medium following their ejection from stars. In this work, we test the common assumption of instantaneous and homogeneous metal mixing during the formation of the first Population II stars by characterizing the chemical homogeneity of the gas in simulated star-forming environments enriched by Population III stellar feedback. Testing the ho…

Is This News Still Interesting to You?: Lifetime-aware Interest Matching for News Recommendation
Seongeun Ryu, Yunyong Ko, Sang-Wook Kim
https://arxiv.org/abs/2508.13064 https:/…

Is This News Still Interesting to You?: Lifetime-aware Interest Matching for News Recommendation
Personalized news recommendation aims to deliver news articles aligned with users' interests, serving as a key solution to alleviate the problem of information overload on online news platforms. While prior work has improved interest matching through refined representations of news and users, the following time-related challenges remain underexplored: (C1) leveraging the age of clicked news to infer users' interest persistence, and (C2) modeling the varying lifetime of news across topics and us…