Tootfinder

Figma releases Dev Mode Model Context Protocol server, which provides more context about how AI designs are created in Figma (Jess Weatherbed/The Verge)
https://www.theverge.com/news/679439/figma-dev-mode-mcp-server-beta-release

Figma will let your AI access its design servers
Figma is launching a Dev Mode MCP Server that can help AI models more effectively translate designs into fully coded applications.

This https://arxiv.org/abs/2410.03590 has been replaced.
initial toot: https://mastoxiv.page/@a…

Enhancement to Fusion Reactivity in Sheared Flows
Sheared flow increases the reactivity of fusion plasma. In unmagnetized plasma with flow gradients comparable to the mean free path of reacting ions, fusion reactivity can be more than doubled. The effect is of particular relevance to inertial confinement fusion (ICF), where it allows implosion kinetic energy to contribute to the fusion burn even before thermalizing. In fast ignition, this allows remarkable energy savings because colder fuel stops alpha particles more quickly, enabling ignition…

Magnetic field-free braiding and nontrivial fusion of Majorana bound states in high-temperature planar Josephson junctions
Pankaj Sharma, Narayan Mohanta
https://arxiv.org/abs/2506.04338

Magnetic field-free braiding and nontrivial fusion of Majorana bound states in high-temperature planar Josephson junctions
Demonstration of non-Abelian statistics of zero-energy Majorana bound states (MBS) is crucial for long-sought-after decoherence-free topological quantum computing. The ability to move the MBS on a two-dimensional platform such as a planar Josephson junction is practically constrained by a fixed direction of applied magnetic field. In addition, the detrimental effects of the magnetic field on proximity-induced superconductivity in semiconductor-superconductor heterostructures is an outstanding p…

Data Fusion for Partial Identification of Causal Effects
Quinn Lanners, Cynthia Rudin, Alexander Volfovsky, Harsh Parikh
https://arxiv.org/abs/2505.24296 h…

Data Fusion for Partial Identification of Causal Effects
Data fusion techniques integrate information from heterogeneous data sources to improve learning, generalization, and decision making across data sciences. In causal inference, these methods leverage rich observational data to improve causal effect estimation, while maintaining the trustworthiness of randomized controlled trials. Existing approaches often relax the strong no unobserved confounding assumption by instead assuming exchangeability of counterfactual outcomes across data sources. How…

Superatomic hydrogen: achieving effective aggregation of hydrogen atoms at pressures lower than that of metallic hydrogen
Jia Fan, Chenxi Wan, Rui Liu, Zhen Gong, Hongbo Jing, Baiqiang Liu, Siyang Liu, Zhigang Wang
https://arxiv.org/abs/2506.03463

Superatomic hydrogen: achieving effective aggregation of hydrogen atoms at pressures lower than that of metallic hydrogen
Metal hydrogen exhibiting electron delocalization properties has been recognized as an important prospect for achieving controlled nuclear fusion, but the extreme pressure conditions required exceeding hundreds of GPa remain a daunting challenge. Here, we propose a model of superatomic hydrogen, aiming to reduce the pressure conditions required for the effective aggregation of elemental hydrogen atoms. High-precision ab initio calculations indicate that the pressure required to compress the H13…

This https://arxiv.org/abs/2506.01297 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

MobCLIP: Learning General-purpose Geospatial Representation at Scale
Representation learning of geospatial locations remains a core challenge in achieving general geospatial intelligence. Current embedding methods often lack versatility, limiting their utility across diverse tasks in both human and natural domains. We present MobCLIP, the first nationwide general-purpose location encoder, integrating an unprecedented diversity of data modalities through effective and scalable multimodal fusion. Adopting a novel CLIP-based architecture, our framework aligns 100M+…

Attention Is Not Always the Answer: Optimizing Voice Activity Detection with Simple Feature Fusion
Kumud Tripathi, Chowdam Venkata Kumar, Pankaj Wasnik
https://arxiv.org/abs/2506.01365

Attention Is Not Always the Answer: Optimizing Voice Activity Detection with Simple Feature Fusion
Voice Activity Detection (VAD) plays a key role in speech processing, often utilizing hand-crafted or neural features. This study examines the effectiveness of Mel-Frequency Cepstral Coefficients (MFCCs) and pre-trained model (PTM) features, including wav2vec 2.0, HuBERT, WavLM, UniSpeech, MMS, and Whisper. We propose FusionVAD, a unified framework that combines both feature types using three fusion strategies: concatenation, addition, and cross-attention (CA). Experimental results reveal that …

Molecular dynamics simulation of the effects of neutron irradiation on Caesium Lead Bromide
Zhongming Zhang, Samuel Murphy, Michael Aspinall
https://arxiv.org/abs/2506.00675

Molecular dynamics simulation of the effects of neutron irradiation on Caesium Lead Bromide
With the development of fast neutron reactors and nuclear fusion reactors, it is necessary to find new radiation-hardened high-flux core neutron detectors. The use of perovskite Caesium Lead Bromide (CsPbBr$_3$) for neutron radiation detection is a new research direction. However, at high temperatures, the effects of neutron radiation, especially the Primary Knock-out Atom (PKA) and Displacement Per Atom (DPA), and the defect distribution at the molecular level have not been reported. This stud…

Series B, Episode 11 - Gambit
JENNA: She's right, Blake. He's led a privileged life. He's got money.
BLAKE: He's also been on the move for a long time.
JENNA: But even so, a man with his skills can always earn it.
https://blake.torpidity.net/m/211/170 B…

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.

Experimental and simulative study on laser irradiation of 3D-printed micro-structures at intensities relevant for inertial confinement fusion
M. Cipriani, F. Consoli, M. Scisci\`o, A. Solovjovas, I. A. Petsi, M. Malinauskas, P. Andreoli, G. Cristofari, E. Di Ferdinando, G. Di Giorgio
https://arxiv.org/abs/2506.04017

Experimental and simulative study on laser irradiation of 3D-printed micro-structures at intensities relevant for inertial confinement fusion
Inertial confinement fusion requires a constant search for the most effective materials for improving the efficiency of the compression of the capsule and of the laser-to-target energy transfer. Foams could provide a solution to these problems, but they require further experimental and theoretical investigation. The new 3D-printing technologies, such as the two-photon polymerization, are opening a new era in the production of foams, allowing for the fine control of the material morphology. Deta…