Efficacy, Safety, and Economic Feasibility of Dokhwalgisaeng-Tang for Degenerative Knee Osteoarthritis: Protocol for a Multicenter, Randomized, Assessor Blinded, Controlled Trial.

Purpose: Knee osteoarthritis (KOA) is one of the most prevalent degenerative joint diseases worldwide. The herbal decoction, Dokhwalgisaeng-tang (DHGST), has been commonly used in East Asia to treat osteoarthritis. However, there is insufficient evidence to draw clear conclusions concerning its effectiveness and safety for patients with KOA.

Imminent risk of the first and second recurrent osteoporotic fractures in South Korea.

Background: A history of fractures increases the likelihood of experiencing subsequent and secondary fractures. To prevent further fractures, global guidelines recommend aggressive proactive treatment with medication for patients at an imminent risk of osteoporotic fracture (OF), which is defined as a high likelihood of experiencing subsequent fractures in the near future. However, there is a lack of research focusing on patients with imminent risk of OFs in South Korea.

Accurate Ultrasonic Thickness Measurement for Arbitrary Time-Variant Thermal Profile.

Ultrasonic thickness measurement of mechanical structures is one of the most popular and commonly used nondestructive methods for various kinds of process control and corrosion monitoring. With ultrasonic propagation speed being temperature-dependent, the thickness measurement can be performed reliably only when the thermal profile is completely known. Most conventional techniques assume the temperature of the test structure is uniform and at room temperature across its thickness.

Multi-level structural damage characterization using sparse acoustic sensor networks and knowledge transferred deep learning.

Standard structural health monitoring techniques face well-known difficulties for comprehensive defect diagnosis in real-world structures that have structural, material, or geometric complexity. This motivates the exploration of machine-learning-based structural health monitoring methods in complex structures. However, creating sufficient training data sets with various defects is an ongoing challenge for data-driven machine (deep) learning algorithms.

Titanium Silicide: A Promising Candidate of Recombination Layer for Perovskite/Tunnel Oxide Passivated Contact Silicon Two-Terminal Tandem Solar Cells.

This study proposes a titanium silicide (TiSi) recombination layer for perovskite/tunnel oxide passivated contact (TOPCon) 2-T tandem solar cells as an alternative to conventional transparent conductive oxide (TCO)-based recombination layers. TiSi was formed while TiO was made by oxidizing a Ti film deposited on the p-Si layer. The reaction formation mechanism was proposed based on the diffusion theory supported by experimental results.