Dynamic Network Model Accurately Identifies Abrupt Structural Changes
Researchers have introduced a fused lasso exponential random graph model that detects periods of parameter stability and abrupt structural changes ...
Researchers have introduced a fused lasso exponential random graph model that detects periods of parameter stability and abrupt structural changes ...
A GATE Monte Carlo simulation study found that a 70 MeV proton beam maximized target coverage and normal tissue sparing ...
A staged reliability framework reveals how parameter uncertainty drives failure risks in composite open-pit mine slopes despite deterministic safety margins.
A new composite indicator method that treats expert opinions as constraints while minimizing ranking uncertainty produced child well-being and health ...
A critical review argues that human microplastic toxicokinetic parameters are structurally non-identifiable because no existing dataset co-measures intake and elimination ...
Simulations show that engineered double-layer targets can boost compact 20-terawatt lasers to X-ray analysis performance comparable with conventional accelerators.
A Monte Carlo simulation calibrated CFI, TLI, RMSEA, and SRMR cutoffs for sparse ordinal confirmatory factor analysis and found scenario-specific ...
A gate-to-gate life cycle assessment using primary data from an Australian bitumen plant estimates that producing one tonne of blown ...
A simulation study proposes an Earth-rotation-aware burn longitude guidance model for targeting the atmospheric re-entry of CubeSats with a single ...
A year of vehicle-mounted optical monitoring in Ulsan's petrochemical complex found nighttime benzene peaks that drive most of the estimated ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine