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Zohran Mamdani repeals bedtimes for 'New York's Cu...
Buzz for the Knicks' first NBA Finals run since 1999 is taking over New York City, and Mayor Zohran Mamdani is making sure the youth can enjoy it unimpeded. The 112th Mayor of New York City signed an executive order on Monday with the title: "repealing kids' bedtimes for Knicks Finals run." New York faces the Spurs in a quest for its first NBA championship since 1973.
Probabilistic dietary exposure modeling and health risk assessment of heavy metals via the fodder-cattle-human continuum in Bangladesh
Dietary exposure to heavy metals (HMs) via animal-source foods is a critical environmental health pathway. In rapidly industrializing Bangladesh, contamination of the bovine food chain from agricultural feeds and industrial emissions poses an unquantified public health burden. This study evaluated exposure pathways, spatial distribution, mass-transfer dynamics, and health risks of six HMs (Cr, Cu, Cd, Pb, As, and Hg) across the fodder-cattle-human continuum.
Chirality Transfer to the Magnetic Sublattice in the Hybrid Perovskite (R)-/(S)-3-Fluoropyrrolidinium Copper(II) Chloride
arXiv:2604.22952v2 Announce Type: replace-cross Abstract: Incorporating chiral organic cations into organic-inorganic hybrid materials has been shown to enable the inorganic sublattice to display chiroptical properties. We report a new two-dimensional magnetic ($S=1/2$) chiral metal halide material, (R)- and (S)-$(C_4H_9FN)_2CuCl_4$ (where $(C_4H_9FN)^+$ is 3-fluoropyrrolidinium), which consists of Cu-Cl inorganic layers separated by $(C_4H_9FN)^+$ organic cations.
Asymmetric neural dynamics of visuospatial attention in autism spectrum disorder
Background: Selective attention enables the prioritization of behaviorally relevant information in complex sensory environments. Despite substantial evidence for altered attention in autism spectrum disorder (ASD), the neurophysiological mechanisms underlying these differences remain poorly understood. Here, we integrate high-density electroencephalography (EEG), pupillometry, and behavioral measures collected during a cued covert visuospatial selective attention task to characterize...
Parameter Tuning with Generalization Guarantees for GPU-Accelerated Linear Programming
Announce Type: cross Abstract: Recent research has developed practical, parallelizable first-order methods for large scale linear programming, but performance is highly dependent on hyperparameter selection. We derive generalization guarantees for hyperparameter tuning within (cu)PDLP, a state-of-the-art first-order LP solver designed for modern hardware.
Coupled simulation of plasma-surface interactions during early stages of vacuum arcing
arXiv:2606.05893v1 Announce Type: new Abstract: We describe fully coupled simulations that bridge atomistic cathode dynamics and plasma formation during the earliest stages of vacuum arcing. The model combines molecular dynamics, finite element electrothermal calculations, electron emission and particle-in-cell plasma simulations via dynamic transfer of particles between the surface and plasma domains. Simulations of Cu nanoprotrusions reveal two routes to thermal runaway: direct Joule...
Towards Efficient and Exact Forgetting Services in Pre-Trained-Model-based Continual Learning
Announce Type: replace Abstract: In Continual Learning (CL), using a Pre-Trained Model (PTM) as the feature extractor has become a popular practice. Accompanied by analytic classifiers, the PTM-based methods have achieved state-of-the-art performance in CL, in pursuit of the non-forgetting goal. Meanwhile, actively forgetting specific knowledge acquired during the CL phase is also essential in most service construction paradigms, for example, Mobile Crowd Sensing (MCS), where mobile edge...
Multi-objective optimization and quantum hybridization of equivariant deep learning interatomic potentials
arXiv:2602.16908v2 Announce Type: replace-cross Abstract: Allegro is a machine learning interatomic potential model designed to predict atomic properties in molecules using E(3) equivariant neural networks. When training this model, there tends to be a trade-off between accuracy and inference time. For this reason, we apply multi-objective hyperparameter optimization to both objectives.
Big 12 preview: Despite the drama, Texas Tech stil...
Back when the NIL era was in its nascent stages, with a new Big 12 and a 12-team College Football Playoff on the way, I wondered if there was room for the emergence of a Clemson-style dynasty from a conference known primarily for the endless number of close games. If some team could craft a recruiting boost from both solid spending and sustained success, perhaps they could ride that to a series of conference titles and, perhaps, even playoff runs? I admittedly didn't have a specific team in...
Electrolyte Bonding Engineering for Highly Uniform GeTe-based CBRAM and Parallel Hebbian Learning in Selector-free Hopfield Networks
arXiv:2606.05768v1 Announce Type: new Abstract: Hopfield networks offer a hardware-friendly framework for energy-efficient associative memory, yet their practical realization in memristor crossbar arrays is critically hindered by device-to-device (D2D) variability, which prevents reliable parallel programming. Here, we address this bottleneck through systematic composition engineering of the Ge-Te solid electrolyte in conductive bridge random access memory (CBRAM) devices.