A Novel Intelligent Fault Diagnosis Method for Rolling Bearings Based on Wasserstein Generative Adversarial Network and Convolutional Neural Network under Unbalanced Dataset.

Rolling bearings are widely used in industrial manufacturing, and ensuring their stable and effective fault detection is a core requirement in the manufacturing process. However, it is a great challenge to achieve a highly accurate rolling bearing fault diagnosis because of the severe imbalance and distribution differences in fault data due to weak early fault features and interference from environmental noise. An intelligent fault diagnosis strategy for rolling bearings based on grayscale image transformation, a generative adversative network, and a convolutional neural network was proposed to solve this problem.

[Immune-mediated sensorineural hearing loss: prevalence and treatment strategies].

Autoimmune sensorineural hearing loss is a rare clinical entity which accounting for less than 1% in all cases with hearing loss. The prevalence of hearing loss in immune-mediated inner ear diseases, as shown in case reports or single-center statistics, varies widely. We reviewed the current literatures on the association between sensorineural hearing loss and autoimmune diseases, focused on the prevalence of hearing loss in different autoimmune diseases, treatments and challenges.

Vertigo as the sole complaint of tympanomastoid paraganglioma.

Background: Tympanomastoid paragangliomas are usually benign, slowly growing, painless tumors. The common presenting symptoms of this tumor are pulsatile tinnitus and conductive hearing loss. Vertigo as the cardinal or initial symptom is extremely are, especially in the early stages of the disease.