Tootfinder

Ums Zeigen und Sehen ging es heute bei der ersten Ringvorlesung in unserem vor einer Woche bezogenen neuen #Forschungsbau. Hubert Locher trug in "Showing Seeing" über das Ausstellen mit und von #Fotografie­n vor.

Hybrid Conference> Buddhism and the Cold War, June 27 https://networks.h-net.org/group/announcements/20070101/hybrid-conference-buddhism-and-cold-war

drosophila_flybi: Fruit fly protein interactions (Drosophila melanogaster)
Binary protein-protein interactions (PPIs) for Drosophila melanogaster, containing 8723 PPIs among 2939 proteins. The iteractions were identified using a yeast two-hybrid (Y2H) analysis.
This network has 2939 nodes and 8723 edges.
Tags: Biological, Protein interactions, Unweighted

so why don't we make @… vice-president of the european commission in charge of tech sovereignity, digital and internet things? https://berthub.eu/articles/po…

CSST Cosmological Emulator III: Hybrid Lagrangian Bias Expansion Emulation of Galaxy Clustering
Shuren Zhou, Zhao Chen, Yu Yu
https://arxiv.org/abs/2506.04671

CSST Cosmological Emulator III: Hybrid Lagrangian Bias Expansion Emulation of Galaxy Clustering
Galaxy clustering is an important probe in the upcoming China Space Station Telescope (CSST) survey to understand the structure growth and reveal the nature of the dark sector. However, it is a long-term challenge to model this biased tracer and connect the observable to the underlying physics. In this work, we present a hybrid Lagrangian bias expansion emulator, combining the Lagrangian bias expansion and the accurate dynamical evolution from $N$-body simulation, to predict the power spectrum …

SECNEURON: Reliable and Flexible Abuse Control in Local LLMs via Hybrid Neuron Encryption
Zhiqiang Wang, Haohua Du, Junyang Wang, Haifeng Sun, Kaiwen Guo, Haikuo Yu, Chao Liu, Xiang-Yang Li
https://arxiv.org/abs/2506.05242

SECNEURON: Reliable and Flexible Abuse Control in Local LLMs via Hybrid Neuron Encryption
Large language models (LLMs) with diverse capabilities are increasingly being deployed in local environments, presenting significant security and controllability challenges. These locally deployed LLMs operate outside the direct control of developers, rendering them more susceptible to abuse. Existing mitigation techniques mainly designed for cloud-based LLM services are frequently circumvented or ineffective in deployer-controlled environments. We propose SECNEURON, the first framework that se…

Exciton--hyperbolic-phonon-polariton Hybridization in Biased Bilayer Graphene
Tomer Eini, N. M. R. Peres, Yarden Mazor, Itai Epstein
https://arxiv.org/abs/2506.04796

Exciton--hyperbolic-phonon-polariton Hybridization in Biased Bilayer Graphene
Excitons in biased bilayer graphene are electrically tunable optical excitations residing in the mid-infrared (MIR) spectral range, where intrinsic optical transitions are typically scarce. Such a tunable material system with an excitonic response offer a rare platform for exploring light-matter interactions and optical hybridization of quasiparticles residing in the long wavelength spectrum. In this work, we demonstrate that when the bilayer is encapsulated in hexagonal-boron-nitride (hBN)-a m…

SLURM Heterogeneous Jobs for Hybrid Classical-Quantum Workflows
Aniello Esposito, Utz-Uwe Haus
https://arxiv.org/abs/2506.03846 https://

SLURM Heterogeneous Jobs for Hybrid Classical-Quantum Workflows
A method for efficient scheduling of hybrid classical-quantum workflows is presented, based on standard tools available on common supercomputer systems. Moderate interventions by the user are required, such as splitting a monolithic workflow in to basic building blocks and ensuring the data flow. This bares the potential to significantly reduce idle time of the quantum resource as well as overall wall time of co-scheduled workflows. Relevant pseudo-code samples and scripts are provided to demon…

Hybrid Conference> Buddhism and the Cold War, June 27
https://ift.tt/sXRO329
When did aliens become a problem? The Mediterranean Association for Marine Biology and Oceanology in…
via Input 4 RELCFP

Hybrid Ensemble of Segmentation-Assisted Classification and GBDT for Skin Cancer Detection with Engineered Metadata and Synthetic Lesions from ISIC 2024 Non-Dermoscopic 3D-TBP Images
Muhammad Zubair Hasan, Fahmida Yasmin Rifat
https://arxiv.org/abs/2506.03420

Hybrid Ensemble of Segmentation-Assisted Classification and GBDT for Skin Cancer Detection with Engineered Metadata and Synthetic Lesions from ISIC 2024 Non-Dermoscopic 3D-TBP Images
Skin cancer is among the most prevalent and life-threatening diseases worldwide, with early detection being critical to patient outcomes. This work presents a hybrid machine and deep learning-based approach for classifying malignant and benign skin lesions using the SLICE-3D dataset from ISIC 2024, which comprises 401,059 cropped lesion images extracted from 3D Total Body Photography (TBP), emulating non-dermoscopic, smartphone-like conditions. Our method combines vision transformers (EVA02) an…