Tootfinder

Secure Wireless Communication via Polarforming
Jingze Ding, Zijian Zhou, Bingli Jiao, Rui Zhang
https://arxiv.org/abs/2507.17129 https://arxiv.org/pdf/2507…

Secure Wireless Communication via Polarforming
Polarforming is a promising technique that enables dynamic adjustment of antenna polarization to mitigate depolarization effects commonly encountered during electromagnetic (EM) wave propagation. In this letter, we investigate the polarforming design for secure wireless communication systems, where the base station (BS) is equipped with polarization-reconfigurable antennas (PRAs) and can flexibly adjust the antenna polarization to transmit confidential information to a legitimate user in the pr…

Polarforming Design for Movable Antenna Systems
Zijian Zhou, Jingze Ding, Rui Zhang
https://arxiv.org/abs/2507.16311 https://arxiv.or…

Polarforming Design for Movable Antenna Systems
Polarforming has emerged as a promising technique to enable the antenna to shape its polarization into a desired state for aligning with that of the received electromagnetic (EM) wave or reconfiguring that of the transmitted EM wave. In this letter, we investigate polarforming design for the movable antenna (MA)-enabled communication system. Specifically, we consider a single-input single-output (SISO) system with reconfigurable antenna positions and polarizations to leverage both spatial and p…

Singularity of non-pluripolar cohomology classes
Duc-Bao Nguyen, Shuang Su, Duc-Viet Vu
https://arxiv.org/abs/2508.14669 https://arxiv.org/pdf/2508.14669…

Singularity of non-pluripolar cohomology classes
We establish a relation between Lelong numbers and the full mass property of relative non-pluripolar products. We use it to show that if the restricted volume of a big cohomology class $α$ in a compact Kähler $n$-dimensional manifold $X$ to an effective divisor $D$ is of full mass, then the Lelong numbers of the non-pluripolar class $\langle α^{n-1}\rangle$ at every point in the support of $D$ is zero. In particular, we obtain that on projective manifolds, the Lelong numbers of the non-pluri…

🇺🇦 #NowPlaying on KEXP's #SonicReducer
Paul Revere and the Raiders:
🎵 I’m Not Your Stepping Stone
#PaulRevereandtheRaiders
https://amoebas-perspective.bandcamp.com/track/im-not-your-steppin-stone-by-minor-threat-by-soa-by-goldfinger-by-sex-pistols-by-the-monkees-by-paul-revere-the-raiders-paul-revere-and-the-raiders-cover
https://open.spotify.com/track/2hrMZmKb5BX5ILM0JWjv6G

Pluribus: Apple-Serie von "Breaking Bad"-Macher mit Sci-Fi-Setting
Nach "Silo" und bald "Neuromancer" kommt demnächst "Pluribus". In der Thrillerreihe von Vince Gilligan geht es um nicht weniger als die Zukunft des Planeten.

A Digital Twin Framework for Generation-IV Reactors with Reinforcement Learning-Enabled Health-Aware Supervisory Control
Jasmin Y. Lim, Dimitrios Pylorof, Humberto E. Garcia, Karthik Duraisamy
https://arxiv.org/abs/2506.17258

A Digital Twin Framework for Generation-IV Reactors with Reinforcement Learning-Enabled Health-Aware Supervisory Control
Generation IV (Gen-IV) nuclear power plants are envisioned to replace the current reactor fleet, bringing improvements in performance, safety, reliability, and sustainability. However, large cost investments currently inhibit the deployment of these advanced reactor concepts. Digital twins bridge real-world systems with digital tools to reduce costs, enhance decision-making, and boost operational efficiency. In this work, a digital twin framework is designed to operate the Gen-IV Fluoride-salt-…

Le problème Bluesky :
"Bluesky a des investisseurs extérieurs – dont Blockchain Capital, une société au nom sinistre et Š la réputation déplorable – et si ces personnes décident de détruire Bluesky, elles peuvent alors évincer les bons acteurs du conseil d'administration, licencier la direction et les remplacer par de classiques sociopathes d'entreprise."
#bluesky

X-ray transferable polyrepresentation learning
Weronika Hryniewska-Guzik, Przemyslaw Biecek
https://arxiv.org/abs/2507.06264 https://…

X-ray transferable polyrepresentation learning
The success of machine learning algorithms is inherently related to the extraction of meaningful features, as they play a pivotal role in the performance of these algorithms. Central to this challenge is the quality of data representation. However, the ability to generalize and extract these features effectively from unseen datasets is also crucial. In light of this, we introduce a novel concept: the polyrepresentation. Polyrepresentation integrates multiple representations of the same modality…

Always good to come back to work to an interesting weather ice sheet situation...
#GreenlandIceSheet melt is peaking right now
https://fediscience.org/@polarportal/114930439503910861

PLRV-O: Advancing Differentially Private Deep Learning via Privacy Loss Random Variable Optimization
Qin Yang, Nicholas Stout, Meisam Mohammady, Han Wang, Ayesha Samreen, Christopher J Quinn, Yan Yan, Ashish Kundu, Yuan Hong
https://arxiv.org/abs/2509.06264

PLRV-O: Advancing Differentially Private Deep Learning via Privacy Loss Random Variable Optimization
Differentially Private Stochastic Gradient Descent (DP-SGD) is a standard method for enforcing privacy in deep learning, typically using the Gaussian mechanism to perturb gradient updates. However, conventional mechanisms such as Gaussian and Laplacian noise are parameterized only by variance or scale. This single degree of freedom ties the magnitude of noise directly to both privacy loss and utility degradation, preventing independent control of these two factors. The problem becomes more pron…