An End-to-End Artificial Intelligence of Things (AIoT) Solution for Protecting Pipeline Easements against External Interference-An Australian Use-Case.

High-pressure pipelines are critical for transporting hazardous materials over long distances, but they face threats from third-party interference activities. Preventive measures are implemented, but interference accidents can still occur, making the need for high-quality detection strategies vital. This paper proposes an end-to-end Artificial Intelligence of Things (AIoT) solution to detect potential interference threats in real time.

The Role of Hydrogen on the Behavior of Intergranular Cracks in Bicrystalline α-Fe Nanowires.

Hydrogen embrittlement (HE) has been extensively studied in bulk materials. However, little is known about the role of H on the plastic deformation and fracture mechanisms of nanoscale materials such as nanowires. In this study, molecular dynamics simulations are employed to study the influence of H segregation on the behavior of intergranular cracks in bicrystalline α-Fe nanowires.

Early sonographic manifestation of fetal congenital lobar emphysema.

Advanced fetal sonographic equipment has contributed to the increase in prenatal diagnosis of congenital thoracic malformations. Among these anomalies is congenital lobar emphysema (CLE), a rare congenital anomaly characterized by over distention and overexpansion of the involved fetal pulmonary lobe. Several studies addressed the prenatal diagnosis of CLE in mid second or early third trimester.

Optimisation of dispersion parameters of Gaussian plume model for CO₂ dispersion.

The carbon capture and storage (CCS) and enhanced oil recovery (EOR) projects entail the possibility of accidental release of carbon dioxide (CO2) into the atmosphere. To quantify the spread of CO2 following such release, the 'Gaussian' dispersion model is often used to estimate the resulting CO2 concentration levels in the surroundings. The Gaussian model enables quick estimates of the concentration levels.