Results 101 to 110 of about 3,334 (209)
Gaidai multivariate risk assessment method for cargo ship dynamics
Contemporary cargo vessel transport constitutes a vital part of the global trade and economy. Thus, it is of primary engineering and design importance to further develop more efficient novel risk analysis and risk assessment methods for large cargo ships.
Oleg Gaidai +5 more
doaj +1 more source
Abstract Groundwater contamination assessments based on sparse wells rarely provide continuous hydraulic head and contaminant concentration fields for plume interpretation. Visually plausible reconstructions may not retain the transport information needed for physical diagnosis.
Zhiyu Jiao +9 more
wiley +1 more source
In order to investigate the analysis and processing methods for nonstationary signals generated in bridge health monitoring systems, this study combines the advantages of complete ensemble empirical mode decomposition (CEEMD) and wavelet threshold ...
Bing-Chen Yang +7 more
doaj +1 more source
Abstract Hybrid models (HMs) combine fundamental model (FM) equations with empirical components. These models can lead to improved predictions because they reduce process/model mismatch and can account for phenomena that are not considered in the FM equations.
Mouna Y. Harb, Kimberley B. McAuley
wiley +1 more source
Collocated Geotechnical and Geophysical Test Dataset at Three Sites in Napier, New Zealand
Reliable assessment of liquefaction hazard, particularly in the context of groundwater fluctuations associated with hydroclimatic changes and variability between liquefaction assessment methods, necessitates supplementary data and advanced site characterization methods.
Aavash Ghimire +4 more
wiley +1 more source
Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly +2 more
wiley +1 more source
Prescription Intervals of Medications for Chronic Use: A Cohort Study
ABSTRACT Purpose In deprescribing studies, a prescription‐free gap is typically used to determine if patients discontinued their treatment. An appropriate gap depends on the typical time between prescriptions during continued use. This work aims to characterise the interval between prescriptions of chronic drugs (long‐term use) using different methods ...
Ryan Muddiman +6 more
wiley +1 more source
Mitochondrial oxidative metabolism generates ROS. Downstream chemiexcitation triplet carbonyls, singlet oxygen; produces ultra‐weak photon emission (UPE). Energetic bounds restrict well‐coupled respiration to extremely weak, red/NIR‐biased emission. Stronger visible UPE indicates elevated oxidative flux, linking measured photon counts to redox state ...
Samuel Crowther +2 more
wiley +1 more source
Abstract Accurate prediction of low‐level turbulence (LLT) is critical for aviation safety, particularly for the emerging urban air mobility industry and aircraft takeoffs and landings. To better understand and predict these hazards, the characteristics of the energy dissipation rate (EDR) in the atmospheric boundary layer (ABL) were investigated using
Jeonghoe Kim +7 more
wiley +1 more source
Tipping point forecasting in nonstationary dynamics on function spaces. [PDF]
Liu-Schiaffini M +6 more
europepmc +1 more source

