Percutaneous Intradiscal Radiofrequency Thermocoagulation Combined with Sinuvertebral Nerve Ablation for the Treatment of Discogenic Low Back Pain.

Background: Percutaneous intervertebral radiofrequency thermocoagulation (PIRFT) and sinuvertebral nerve ablation (SVNA) are commonly used clinical treatments for discogenic low back pain (DLBP). However, they have been reported to have low efficacy rates of approximately 16.5%-26.

The Role of Probiotics and Prebiotics in Osteolastogenesis and Immune Relevance.

Osteoporosis is very common in middle-aged and elderly people, and its main feature is a disease characterized by bone mass reduction and bone microstructure changes, accompanied by a corresponding increase in the risk of fracture. This is a disease affected by many factors and is more common in postmenopausal women. Currently, the treatment of osteoporosis is mainly to prevent bone resorption and reduce the risk of fracture; a variety of drugs have been used in the treatment of osteoporosis and achieved good results.

Selection of characteristic wavelengths using SPA for laser induced fluorescence spectroscopy of mine water inrush.

In the process of prevention and control of water inrush disaster, it is of great significance to identify the type of water inrush source for coal mine safety production accurately and quickly. The application of laser induced fluorescence (LIF) technology to identify the water inrush in coal mine broke the shortage of the traditional hydrochemical method, which could realize the accurate and rapid identification of water inrush types. Firstly, in order to avoid the influence of random variations of spectral data, four kinds of common pretreatment methods were analyzed and compared, and the moving average smoothing method was chosen to preprocess the original fluorescence spectral data.

Identification of mine water inrush using laser-induced fluorescence spectroscopy combined with one-dimensional convolutional neural network.

The application of laser-induced fluorescence (LIF) combined with machine learning methods can make up for the shortcomings of traditional hydrochemical methods in the accurate and rapid identification of mine water inrush in coal mines. However, almost all of these methods require preprocessing such as principal component analysis (PCA) or drawing the spectral map as an essential step. Here, we provide our solution for the classification of mine water inrush, in which a one-dimensional convolutional neural network (1D CNN) is trained to automatically identify mine water inrush according to the LIF spectroscopy without the need for preprocessing.

CP-673451, a platelet-derived growth-factor receptor inhibitor, suppresses lung cancer cell proliferation and migration.

Lung cancer is the leading cause of cancer mortality in the world. Although some advances in lung cancer therapy have been made, patient survival is still poor. The platelet-derived growth factor receptors (PDGFRs) and their ligands play critical roles in the regulation of many cancer cell processes, including cell survival and cell motility.