Abstract Quantifying energetic electron precipitation is essential for understanding ring current and radiation belt loss, as well as magnetosphere‐ionosphere‐atmosphere coupling. The count rate ratio between the 90° and 0° telescopes (CR 90 /CR 0 ) on POES/MetOp satellites is a commonly used proxy for precipitation an...
Weichao Tu, Zhi‐Gu Li· Geophysical Research Letters· 0 citations
Rolling bearing fault diagnosis under limited-sample conditions often suffers from insufficient training data. To address this issue, a ResUNet Diffusion Adversarial Generative Network (RUDAGN) is proposed. First, vibration signals are transformed into time–frequency representations using Continuous Wavelet Transform (...
Hao-Tian Geng, Zhi-Gang Wei· Conference on Advanced Algor...· 0 citations
Financial inclusion, defined as the ability of individuals and businesses to access and effectively use affordable, appropriate and sustainable formal financial services, is vital for economic empowerment and resilience. Despite Kenya achieving an overall financial inclusion rate of 84.8% in 2024, disparities persist,...
Erick Ombati Nyatangi, Julius Miroga Bichanga· International Journal of Soc...· 0 citations
Behavioral variability reflects differences in internal and external parameters and provides a substrate for natural selection. However, uncovering its structure is challenging because behavior evolves nonlinearly across multiple timescales. Our goal is to reconstruct phenotypic variation from finite behavioral observa...
Gautam Sridhar, Claire Wyart, Antonio Carlos Costa· bioRxiv (Cold Spring Harbor...· 0 citations
Paper-Replications is a collection of from-scratch PyTorch implementations replicating classic and state-of-the-art AI/ML papers: transformer variants, attention mechanisms, GANs, diffusion models, CLIP-style vision-language models, LoRA and MoE fine-tuning, and more. The Paper-Replications source code and notebooks ar...
Yuvraj Singh· Zenodo (CERN European Organi...· 0 citations
VEYRIL 1.0.0 is a theoretical and computational research framework aimed at one of the core control problems behind future universal nanofabrication: how a fabrication system could coordinate, certify, and safely execute very large numbers of nanoscale operations without explicitly recomputing every interaction and the...
Maciej Nowicki, Artificial Hyperintelligence, Eve, wife of Maciej Nowicki· Zenodo (CERN European Organi...· 0 citations
SPARTA poses two graph structural operators on one spatial graph: a source–sink minimum cut for migrating immune cells and a screened diffusion–absorption field for a molecular-sized in silico probe, with calibrated surrogate tests, patient-level inference and structural null models. Release v2.2.2 accompanies the manu...
Yize Li· Zenodo (CERN European Organi...· 0 citations
Abstract Purpose High-throughput permeation assays are essential tools in drug discovery for identifying small molecules with favorable permeability, yet quantifying their transport kinetics across biomimetic membranes often relies on resource-intensive chromatographic methods. Here, we propose a simplified calibration...
Olga Valentina Garbero, Cosmin Butnarasu, Silvia Serra et al.· Journal of Pharmaceutical In...· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
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