This record contains the OpenHydroQual model files and input data for an edge-of-field treatment system in a 78-ha row-crop catchment in the Upper East Fork of the Little Miami River watershed, southwest Ohio, USA. The system is a USDA NRCS Conservation Innovation Grant site. An in-channel detention area and a riser di...
Arash Massoudieh· Zenodo (CERN European Organi...· 0 citations
Fragile X syndrome (FXS) features sensory, social, and cognitive dysfunction, but how fragile X messenger ribonucleoprotein 1 (FMR1) deficiency disrupts sensory corticostriatal circuitry and whether distinct FMR1 perturbations converge on shared cellular mechanisms remain incompletely defined. We integrated diffusion m...
Yu Yan, Dongyun Li, Jiangyu Yuan et al.· bioRxiv (Cold Spring Harbor...· 0 citations
Results-only evidence companion for the ISA-R2P-H reduced polar-handoff surrogate. It combines 19 archived CSV tables, six historical figures and the archived certificate with six freshly passing existing module tests, 40 fresh synthetic diffusion rows and 583 numerical consistency/analytic checks. Twenty-eight selecte...
David Glowalla· Zenodo (CERN European Organi...· 1 citation
STIGMERGIC SWARM MANUFACTURING UNDER QUANTUM MEASUREMENT UNCERTAINTY AT THE LIMIT A Research Architecture for Local Trace Coordination, Uncertainty-Aware Manufacturing, Reference Integrity, and Recoverable Collective Control Research Series: Nano–Quantum Tri-Coupling — Flagship 08Author / Research Imprint: Feng Cheng-e...
33· Zenodo (CERN European Organi...· 0 citations
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The paper investigates how the choice of a generative stochastic model of the training environment affects the numerical stability of the learning and the transfer of the Double DQN policy to real time series. Four environments — GBM, GARCH(1,1)-t, Minimal Neural SDE, and Neural Jump-Diffusion — are compared, created o...
Yurchenko Yuriy, Olexandr Zakovorotnyi· Journal of Mathematical Mode...· 0 citations
The paper investigates how the choice of a generative stochastic model of the training environment affects the numerical stability of the learning and the transfer of the Double DQN policy to real time series. Four environments — GBM, GARCH(1,1)-t, Minimal Neural SDE, and Neural Jump-Diffusion — are compared, created o...
Sergey Leonov· Journal of Mathematical Mode...· 0 citations
The rapid diffusion of generative artificial intelligence (GenAI) and algorithmic task automation across modern enterprises has fundamentally accelerated skill obsolescence, creating an urgent strategic imperative for continuous employee upskilling and reskilling. This critical review systematically evaluates contempor...
Accurate prediction of wall heat transfer is critical for the reliability design of high-intensity marine engines, yet conventional models often neglect the thermal resistance introduced by lubricating oil films and the influence of near-wall turbulent heat transfer characteristics. To improve the engineering predictio...
Yang Wang, 倪庆宾, Kai Zhang et al.· International Communications...· 0 citations
Information propagation in Online Social Networks (OSNs) is commonly modeled as a diffusion process based on fixed interaction rules. However, such models are limited in their ability to capture adaptive and context-dependent interactions. In this work, we propose an attention-based formulation of information propagati...
Francisco Jurado· Social Network Analysis and...· 0 citations
The high penetration of the digital economy is viewed as a potential for enhancing rural consumption capacity due to its diffusion effect. Related research has limitations such as insufficient theoretical analysis, low data availability, and lack of spatial dimension analysis. Drawing on inclusive growth theory for the...
Privacy risk in synthetic tabular data is typically evaluated as an aggregate property: how much leakage exists, rather than who is exposed. But aggregate metrics treat individuals as undifferentiated, hiding whether certain records or subgroups are systematically more exposed than others. If risk is unevenly distribut...
Aidan LoStracco, Joshua August Skorburg, Wenjing Zhang· Proceedings of the AAAI/ACM...· 0 citations
The Relative Field Localization (RFL) framework provides a physical mechanism for quantum measurement, in which the wave function is a real field carrying a conserved charge. The squared modulus of the wave function, ∣ψ∣2∣ψ∣2, is identified with a physical charge density j0=2ω∣ψ∣2j0=2ω∣ψ∣2, not merely a probability amp...
Muhammad alswairi· Zenodo (CERN European Organi...· 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.
Microsoft Research Blog· microsoft.comOct 12, 2026
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.
