Original name record: UIF (University Industry Foundation), Yonsei University

The solenoid valve includes a valve housing having a fluid flow path defined therein and having a fluid inlet and a fluid outlet fluid-communicating with the fluid flow path; a first magnetic portion received in the valve housing and having a partial annular shape having a hollow defined therein; a first coil portion received in the hollow of the first magnetic portion; a second magnetic portion received in the valve housing and having a partial annular shape having a hollow defined therein; a mover received in the valve housing and configured to perform a pivotal or translational motion under a magnetic force applied from the first magnetic portion or the second magnetic portion; and a permanent magnet received in the valve housing and disposed on the first coil portion so as to contact the first coil portion.

A machine learning method and system for predicting a fracture risk based on spinal radiographic images and a method and system for predicting a fracture risk are provided. A method for machine learning to predict fracture risk based on spinal radiographic image using a microprocessor includes i) providing cohorts' spinal radiographic images, whether they have a vertebral fracture, and whether they have osteoporosis as a learning data, ii) providing a first artificial intelligence model by first machine learning the spinal radiographic image as a first input value, status of the vertebral fracture and the osteoporosis as first labels; and iii) providing a second artificial intelligence model by performing second machine learning using a vertebral fracture score and an osteoporosis score output from the first artificial intelligence model unit, cohort's age, cohort's height, and cohort's body mass index (BMI) as second input values, and the status of a vertebral fracture as a second label.