This paper develops estimated and calibrated real business cycle (RBC) dynamic stochastic general equilibrium (DSGE) models of the U.S. economy in which electricity enters explicitly as a productive i...
The demand for lightweight energy-absorbing structures has rapidly increased. Auxetic structures, such as re-entrant honeycombs, exhibit negative Poisson’s ratio behavior and high impact stability; ho...
Global semiconductor shortages beginning in 2020, combined with geopolitical supply disruptions extending through 2025, imposed material constraints on hyperscale cloud infrastructure expansion that c...
Background Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. Early and accurate prediction is crucial for reducing mortality. However, clinical settin...
Predictive simulation of sintering-induced distortion remains challenging for ceramic components subjected to gravity and mechanical constraint. Classical constitutive sintering laws reproduce free de...
The integration of artificial intelligence (AI) into healthcare requires preparing professionals to engage critically with intelligent systems. Moving beyond isolated predictors, this study investigat...
Modelling sediment yield in large river basins using hydrological models is often limited by the scarcity of field-based input data. In particular, the vegetation and management factor of the Modified...
Objective To develop and validate a Union Model integrating clinical features with radiomics signatures derived from intratumoral and peritumoral T2-weighted imaging (T2WI) and diffusion-weighted imag...
This study reconstructs the northern coastline of East Java during the Majapahit period (14th-16th century CE) through an integrated framework combining geomorphological modeling, geospatial analysis,...
The photovoltaic (PV) supply chain is complex and characterised by strong geographic concentration. Assessing the environmental and socio-economic impacts of policies targeting its development require...
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