Factor-based deep reinforcement learning for asset allocation: Comparative analysis of static and dynamic beta reward designs. [PDF]
Jung NH, Oh T.
europepmc +1 more source
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal +2 more
wiley +1 more source
Behaviorally informed deep reinforcement learning for portfolio optimization with loss aversion and overconfidence. [PDF]
Charkhestani A, Esfahanipour A.
europepmc +1 more source
This study investigates thermo‐chemical processes during high‐temperature testing of two commercial MgO‐C brick grades, one containing 47.5 wt.% MgO‐C recyclate. Using ETV, DTA/TG‐MS, XRD, and SEM/EDS/EBSD, mechanisms such as carbothermal reduction of magnesia, impurity incorporation into the secondary MgO surface layer, and calcium‐rich phase ...
Alexander Schramm +6 more
wiley +1 more source
A BIM-Based Digital Twin Framework for Urban Roads: Integrating MMS and Municipal Geospatial Data for AI-Ready Urban Infrastructure Management. [PDF]
Scolamiero V, Boccardo P.
europepmc +1 more source
Setup‐Optimized Sequencing in Job Shops: Modeling Workstation Productivity and Lateness Behavior
Setup‐optimized sequencing in job‐shop production creates a trade‐off between productivity improvement and schedule reliability. A WIP‐explicit modeling framework links sequencing‐induced productivity gains and lateness dispersion through the production operating curve.
Friederike Stefanowski +2 more
wiley +1 more source
Examining Tertiary Healthcare Quality Under Asset Leasing, Performance-Based Financing, and Social Impact Bonds: The Role of Government Stewardship in a Cross-Sectional Quantitative Study in Kenya. [PDF]
Karino E, Ndegwa J, Were V.
europepmc +1 more source
A combined finite element and phase‐field approach predicts the evolution of microstructure during the directional solidification of Ni‐based superalloys. The model reveals how withdrawal rate, temperature gradient, and wall thickness control the dendrite spacing, highlighting the strong effect of surface regions in thin sections where dendrite growth ...
Sean Böhm +3 more
wiley +1 more source
Risk-taking responses to crash experience: Evidence from China. [PDF]
Fang Z, Xu H, Mu Y.
europepmc +1 more source
Thermophysical Properties of the Desulphurization Slags With Various CaS and CaO/Al2O3 Ratio
This article investigates how CaS content and the CaO/Al2O3 ratio influence the thermophysical properties of desulphurization slags. Using experimental measurements and thermodynamic simulations, this study reveals complex effects on viscosity, surface tension, and density, providing new insight into slag structure and phase behavior under ...
Eldar Salpagarov +4 more
wiley +1 more source

