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Multicontinuum Generalized Multiscale Finite Element Method (MC-GMsFEM). Theory and applications to upscaling of two-phase flow
arXiv:2606.01303v1 Announce Type: new Abstract: We develop a multicontinuum Generalized Multiscale Finite Element Method (MC-GMsFEM) for constructing coarse-scale models in heterogeneous media that simultaneously provide accurate numerical approximations and physically consistent macroscopic equations. Classical multiscale methods efficiently approximate fine-scale solutions on coarse grids using localized basis functions, but they do not offer a systematic pathway for deriving macroscopic...
MC-PDD: Masked Corpus-Level Pretraining Data Detection for Black-Box Large Language Models
arXiv:2606.07996v1 Announce Type: new Abstract: Pretraining is fundamental to the development of Large Language Models (LLMs), yet the opacity of pretraining data complicates model analysis and raises ethical, legal, and fairness concerns. Detecting whether specific datasets were used during pretraining is, therefore, critical. Existing state-of-the-art methods typically rely on access to model probability distributions, making them unsuitable for closed-source LLMs that provide only...
MC-CPO: Mastery-Conditioned Constrained Policy Optimization for Pedagogically Safe Intelligent Tutoring Systems
arXiv:2604.04251v2 Announce Type: replace Abstract: Intelligent tutoring systems increasingly rely on reinforcement learning to personalise instruction, yet optimising for observable engagement signals can systematically decouple learner activity from genuine knowledge acquisition. Analysing over 21 million student interactions across two deployed platforms, we find engagement events without corresponding mastery gains occur in 26.5% of interactions on Junyi Academy (72,758 students) and...
Mind-melting MC Escher, mesmerising Marilyn and the greatness of Glasgow – the week in art
Escher’s eye-popping visions enter the video dimension, Pan-Africanism pulls in the big names and agent provocateur Julio Le Parc hits the UK – all in your weekly dispatchMC EscherThe great Dutch artist of eye-popping, brain-melting visual paradox gets a rich retrospective of his prints, with video, music and installations adding to the fun. • Somerset House, London, until 6 September Continue reading...
Mind-melting MC Escher, mesmerising Marilyn and the greatness of Glasgow – the week in art
Escher’s eye-popping visions enter the video dimension, Pan-Africanism pulls in the big names and agent provocateur Julio Le Parc hits the UK – all in your weekly dispatchMC EscherThe great Dutch artist of eye-popping, brain-melting visual paradox gets a rich retrospective of his prints, with video, music and installations adding to the fun. • Somerset House, London, until 6 September Continue reading...
MC Escher review – hallucinatory insights from the master of the mind-bending staircase
Somerset House, London Escher’s paradoxical geometries and impossible gravities may baffle the mind – yet even his wildest works were never just fanciful, as this fun and gripping show makes clearWe think we know the world of Maurits Cornelis Escher with its mind-bending staircases and buildings that impossibly twist upon themselves. Yet a shocking glimpse of reality intrudes in Somerset House’s gripping journey through his metaverse. In 1945, Escher designed a diploma for students at a...
MC Escher review – hallucinatory insights from the master of the mind-bending staircase
Somerset House, London Escher’s paradoxical geometries and impossible gravities may baffle the mind – yet even his wildest works were never just fanciful, as this fun and gripping show makes clearWe think we know the world of Maurits Cornelis Escher with its mind-bending staircases and buildings that impossibly twist upon themselves. Yet a shocking glimpse of reality intrudes in Somerset House’s gripping journey through his metaverse. In 1945, Escher designed a diploma for students at a...
Communicating Smartly in Molecular Communication Environments: Neural Networks in the Internet of Bio-Nano Things
arXiv:2506.20589v4 Announce Type: replace-cross Abstract: Recent developments in the Internet of Bio-Nano-Things (IoBNT) are laying the foundation for innovative healthcare applications that envision a network of remotely coordinated nanodevices within the human body to monitor and actuate over potential diseases. However, interconnecting such nanodevices requires communication strategies that can cope with molecular communication (MC) channels, whose complex, stochastic, and dynamic...
Radial and angular evolution of magnetic cloud signatures in the turbulent solar wind: virtual spacecraft analysis
arXiv:2606.07209v1 Announce Type: cross Abstract: Interplanetary coronal mass ejections (ICMEs) carry magnetic clouds (MCs), large-scale structures with average radial widths about a fifth of an astronomical unit at Earth's orbit. ICMEs display substructures in white light images and reveal rich dynamics across many spatial scales when directly measured by spacecraft. A spacecraft encounter with an ICME can result in smoothly rotating MC intervals or less organised magnetic obstacle (MO) ones.
RRISE: Robust Radius Inference via a Surrogate Estimator
Announce Type: new Abstract: Randomized smoothing (RS) uses a smoothed classifier to provide architecture-agnostic certificates of $\ell_2$ classification robustness, but its dependence on per-input Monte Carlo (MC) sampling undermines its use in real-time systems. We argue that this cost is structural rather than fundamental, such that it can be significantly reduced by sharing information across the deployment stream. We introduce RRISE, an RS framework that compresses certification into a...