This study examined how One Health messages disseminated through broadcast media shape awareness, perception, reaction and behaviour among broadcast journalists and members of the public in South-South Nigeria. The study was anchored on the Agenda Setting Theory, Diffusion of Innovation theory and the Health Belief Mod...
Nkoyo Ubong-Archibong Umoh, Ashong C. Ashong· World Journal of Advanced Re...· 0 citations
Phase-change relaxation is commonly introduced in Volume-of-Fluid (VOF) simulations of melting through a relaxation rate that controls the conversion between phases. Although this parameter strongly influences interface evolution and temperature fields, its selection remains largely empirical and often varies from one...
Pankaj Jagad, Ilyas Khurshid, Imran Afgan et al.· International Journal of The...· 0 citations
Abstract Childhood maltreatment (CM) is a risk factor for adult post-traumatic symptoms and white matter (WM) alterations. It remains unknown how WM microstructure is affected alongside two common military conditions, post-traumatic stress disorder (PTSD) and mild traumatic brain injury (mTBI). Data from 299 participan...
Luisa Berger, Philine Rojczyk, Johanna Seitz‐Holland et al.· Molecular Psychiatry· 0 citations
This work proposes a unified mathematical framework for cultural dynamics that integrates state-space modeling, noncommutative transition operators, correlation structures, and generational modes. The model distinguishes between weakly correlated cultural fields—typical of ancient and pre-modern societies—and strongly...
B.Y. Hughes Graduate Student· Zenodo (CERN European Organi...· 0 citations
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This project develops a unified mathematical and computational framework for cultural dynamics based on noncommutative operators, state-space modeling, and multi-scale correlation structures. Cultural change is represented as the evolution of latent cultural fields that may be weakly correlated (ancient and pre-modern...
Sequential recommendation aims to predict the next item that aligns with user preferences based on their historical interaction sequence. Traditional sequential recommendation methods can be seen as understanding-based approaches, where the next relevant item is determined by analyzing user historical interactions and...
Yan-Wei Xu, Ye Tian, Fang-Cheng Fu et al.· IEEE Transactions on Knowled...· 0 citations
While the tension between sharing valuable data and safeguarding individual privacy has grown increasingly acute, differentially private data synthesis has emerged as a principled solution. Although a series of research has been conducted in this field, the effectiveness on datasets with long-tail distribution attribut...
Gang Zhang, Rui-Nan Li, Yang-Hao Zhou et al.· IEEE Transactions on Knowled...· 0 citations
Knowledge graph completion (KGC) aims to predict missing relationships between pairs of entities. Recently, Message Passing Neural Networks (MPNNs) have been employed in KGC and demonstrated superior ability in embedding learning. Current methods, however, face two major dilemmas. One focuses on learning complex entity...
Kang-Ye Wang, Peng-Wen Dai, Chuan Wang et al.· IEEE Transactions on Knowled...· 0 citations
Ohm's law in its usual form, a current proportional to the electric field, does not describe a semiconductor device; therefore Shockley's equations replace it. They rest on empirical parameters: a mobility measured for each material and fitted to the field, a diffusion coefficient tied to it, and the carriers' lifetime...
Viktor Ariel· Zenodo (CERN European Organi...· 0 citations
Abstract Recent experiments demonstrate the modification of chemical dynamics via cavity-enhanced vibrational energy transport. Here, we provide a microscopic account of both photonic and mode-selective energy transport using direct mesoscale on-the-fly simulations of cavity-modified transport under vibrational strong...
Sachith Wickramasinghe, Michael Fowler, Gerrit Groenhof et al.· Nano Letters· 0 citations
Molecular transport in nanochannels can deviate from normal diffusion and exhibit different regimes depending on the observation timescale. However, resolving them from nanoseconds to seconds remains challenging. Here, oxygen transport in β -cyclodextrin–cyclohexane supramolecular crystals containing solvent-filled nan...
Denis E. Makhrov, Irina V. Ionova, Alexander Aleksandrovich Korlyukov et al.· ChemRxiv· 0 citations
Global energy transition remains a critical challenge for reducing carbon emissions and protecting the environment, with solar energy adoption driving improvements in both energy efficiency and conservation. This research focuses on Africa's transition from fossil fuels to solar energy. As population growth and blackou...
Boluwatife G. Ayankojo· Old Dominion University· 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.
