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Insight into government, February 27, 2026
No full textAlberta's independent newsletter on government & politics
Insight into government, January 23, 2026
No full textAlberta's independent newsletter on government & politics
Prickly stem of a wild rose bush
No full textIn winter the red-barked stems and branches of the wild rose bushes have no leaves, but still have their sharp thorns. In this image the thorns are clearly visible.
Wild roses are a common understory shrub at the Clifford E. Lee Nature Sanctuary and can easily be seen near the east entrance
Aspen Ridge Trail Head
No full textOne of several trails in the Clifford E. Lee Nature Sanctuary, the Aspen Ridge Trail begins on the west side of the north pond and loops over higher ground, before connecting back to the main trail. In winter, with the leaves of the deciduous canopy fallen, more snow can accumulate on the forest floor
Generalizing Perception-Action Coupling Depends on Context: Spatial Updating Is Non-Obligatory in Virtual but Not Mixed Reality
No full textNuclear-Powered Hybrid Energy System for Clean Hydrogen Production: Time-Step-Optimized Real-Time Multi-Domain Hardware Emulation
No full textIncreasing global emphasis on decarbonization and the proliferation of renewable energy, energy storage, and nuclear power is driving a surge of research interest into integrated sustainable energy modeling, simulation, operation and control. Traditional electromagnetic transient (EMT) methods typically discretize electrical networks using the trapezoidal rule. When coupled with the ordinary differential equations (ODEs) of other physical domains, however, the absolute stability region of the numerical integration scheme can shift, and discrepancies in time constants across subsystems further complicate integration of disparate models. While the demand for integrating EMT with multi-domain co-simulations is increasing, existing commercial EMT simulation tools either lack support for multi-domain physical coupling or are not specifically optimized for such hybrid simulations. To address this gap, this paper proposes a robust multiscale time-step estimation (RMTE) framework that enables real-time co-simulation of EMT networks and multidomain subsystems. The framework includes a fast, efficient, and adaptive approach for selecting the optimal maximum time-step across heterogeneous physical domains. The proposed method is validated through a case study involving small modular reactors (SMRs), wind farm, photovoltaics (PV) and low-temperature proton exchange membrane (PEM) electrolysis for clean hydrogen production. Real-time hardware co-emulation is achieved on a field-programmable gate array (FPGA)-based platform. The results demonstrate significant improvements in simulation efficiency and execution time