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
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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
The search for autochthonous food–derived lactobacilli with complementary probiotic–associated and bioprotective characteristics is of considerable interest for functional food development and microbial control. In the present study, lactic acid bacteria (LAB) isolated from traditional Iranian dairy products were scree...
Emotional valence and arousal in spoken word recognition: a hierarchical drift diffusion reanalysis of MALD This project asks whether a spoken word’s emotional valence and arousal affect how quickly listeners accumulate evidence that it is a word. We reanalyse the Massive Auditory Lexical Decision database (MALD; Tucke...
Jason Tipples· Open Science Framework· 0 citations
The South Atlantic MagneticGeomagnetic Anomaly (SAMA) represents one of the most prominent planetary-scale geomagnetic anomalies, characterized by a persistent depression in magnetic field intensity and a systematic westward secular drift. Standard geodynamo models attempt to account for this feature through turbulent...
Sérgio Oliveira Santos· Zenodo (CERN European Organi...· 0 citations
Abstract Arachidonic acid and docosahexaenoic acid are long-chain polyunsaturated fatty acids that serve as key structural components of neuronal cell membranes and exhibit anti-inflammatory properties. They accumulate most rapidly during the third trimester of pregnancy, leaving very preterm infants deprived at birth....
Gunnthorunn Gunnarsdottir, Ivan I. Maximov, Oliver Marcel Geier et al.· Brain Communications· 0 citations
Human observers often agree when facial expressions are clearly happy or clearly angry. However, when expressions become ambiguous, emotion judgements may be influenced by characteristics of the face itself. Previous research suggests that facial emotion recognition is affected by face sex, gender stereotypes, facial s...
Jason Tipples· Open Science Framework· 0 citations
The rapid diffusion of generative artificial intelligence (GenAI) is reshaping assessment practices in higher education and is creating new opportunities for the design of transparent, scalable, and learning-oriented assessment instruments. This conceptual research article examines how artificial intelligence can suppo...
Zayniyeva Gulchaman· Zenodo (CERN European Organi...· 0 citations
Background: Tapentadol is an effective centrally acting analgesic for treating neuropathic pain. However, its short half-life, high first-pass metabolism, and requirement for frequent dosing limit its therapeutic effect and patient compliance. The purpose of the present innovation was to develop cost-effective tapentad...
Ranju Soni, Sheelu Sharma, Manu Sharma· Pharmaceutics· 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.
