This article was written for PAXsims by Zinzi Sibanda a BA(Hons) student in Natural Sciences at the University of Cambridge and a member of the CNN Academy simulation team. The report below reflects her personal views, and not those of CNN or any other organization. Humanitarian crisis simulations are well established across the international system. United Nations agencies, NGOs, government organizations, and universities have long built exercises to replicate the pressure and complexity of real emergencies—from the  …

Teaching ecology is the primary way of communicating the current knowledge in the discipline to future generations. Besides general tools (e.g., lectures, videos, simulations, and having students rea...

Skills need to be practiced. Educators do what they can in the classroom, but AI-powered practice can help them do more.

Boeing lance Virtual Airplane, une plateforme de formation pour pilotes basée sur Microsoft Flight Simulator, combinant cours en ligne et hors ligne, outils pédagogiques interactifs et simulations réa...

A tenfold increase in convergence speed, achieved through a novel perturbative expansion, now allows accurate modelling of quantum three-wave mixing where previous methods failed. This advance bypasses limitations of the standard Baker-Campbell-Hausdorff expansion, particularly at high parametric gain, unlocking more precise simulations of entanglement and quantum state transfer. Consequently, previously inaccessible calculations of fidelity limits and time-energy entanglement are now within reach.

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**Abstract:** This paper introduces a novel framework for optimizing catalyst selectivity in complex chemical reactions by integrating statistical thermodynamics models with dynamic kernel density estimation (KDE) techniques. Current catalyst design approaches often rely on empirical methods or computationally intensive quantum chemical simulations, lacking adaptability to dynamic reaction conditions. Our approach leverages a statistically driven framework that dynamically adapts to changing reaction environments, offering a ten-fold improvement in screening efficiency and a projected 15% increase in catalyst selectivity, compared to established density functional theory (DFT) methods.

**Abstract:** Current methods for quantifying catalytic reaction pathway complexity often rely on computationally intensive Kinetic Monte Carlo (KMC) simulations, limiting their applicability to complex systems. This paper introduces a novel approach employing Hyperdimensional Graph Convolutional Networks (HGCNs) to accelerate KMC simulations and enable more precise quantification of pathway complexity. HGCNs, leveraging high-dimensional vector representations, efficiently encode and process reaction network topologies and transition state information, drastically reducing simulation time while maintaining accuracy in kinetic rate prediction.

From the 2nd to the 4th of February, the People-Centred Stabilization team facilitated a three-day intensive fire fighting training in Balcad. The training equipped first responders, district staff, and security actors with the practical skills needed to operate firefighting equipment, including the recently procured fire truck, and to respond effectively to fire emergencies. Combining theory, safety protocols, equipment operation, and hands-on simulations, the training-built confidence and readiness among participants. It addressed a critical gap which is the absence of trained personnel to manage fire emergencies, while empowering the community to prevent and respond to incidents that threaten lives, homes, and even livelihoods. By strengthening local emergency response capacity, the intervention helps restore public trust in the administration, enhances civil–military coordination, and promote community stabilization through visible, life-saving service delivery.

This thread serves two purposes. One, it prevents people in the general game discussion thread from happening upon my really boring shop posts. Two, these are somewhat popular these days, so maybe someone new will find this thread and join in. So if you have anything at all shop sim related to discuss, go right ahead! We are almost always very friendly here, so no need for the normal reticence one might normally feel when posting on a new forum! If there is one poster here to fear, that... Read more

A tenfold increase in convergence speed, achieved through a novel perturbative expansion, now allows accurate modelling of quantum three-wave mixing where previous methods failed. This advance bypasses limitations of the standard Baker-Campbell-Hausdorff expansion, particularly at high parametric gain, unlocking more precise simulations of entanglement and quantum state transfer. Consequently, previously inaccessible calculations of fidelity limits and time-energy entanglement are now within reach.