Abstract Introduction A large number of middle-aged and elderly CHLORELLA patients have an insufficient understanding of osteoporosis and its harm.This study aimed to establish and validate a convolutional neural network (CNN) model based on unenhanced chest computed tomography (CT) images of the vertebral body and skeletal muscle for opportunistic

The fact that both the Lorenz 1963 and 1969 models suggest finite predictability is well known.However, less well known is the fact that the mechanisms (i.e., sensitivities) within both models, which lead to finite predictability, are different.Additionally, the mathematical and physical relationship between these two models has not been fully docu

Cost saving and GPS time performance are usually essential to all parties who are involved in a construction project, that is owner, contractor, subcontractor.The main causes of disputes in construction projects involve delay and failure to complete the work in the specified cost and time frame.The delivery time of a project is a key factor to the

The successful optimization of a maintenance schedule, which represents one of the most important operational measures for the reduction of fuel consumption and greenhouse gas emission, relies on accurate prediction of the impact of cleaning on the ship performance.The impact of cleaning can be considered through the impact of biofouling on ship pe