Volumetric imaging of trabecular meshwork dynamic motion using 600 kHz swept source optical coherence tomography.

The motion of the trabecular meshwork (TM) facilitates the aqueous drainage from the anterior chamber to the venous system, thereby maintaining normal intraocular pressure. As such, characterizing the TM motion is valuable for assessing the functionality of the aqueous outflow system, as demonstrated by previous phase-sensitive optical coherence tomography (OCT) studies. Current methods typically acquire motion from a single cross-sectional plane along the circumference of the anterior chamber.

Consensus Recommendations for Studies of Outflow Facility and Intraocular Pressure Regulation Using Ex Vivo Perfusion Approaches.

Intraocular pressure (IOP) elevation is the primary risk factor and currently the main treatable factor for progression of glaucomatous optic neuropathy. In addition to direct clinical and living animal in vivo studies, ex vivo perfusion of anterior segments and whole eyes is a key technique for studying conventional outflow function as it is responsible for IOP regulation. We present well-tested experimental details, protocols, considerations, advantages, and limitations of several ex vivo model systems for studying IOP regulation.

Fatal Tension Gastrothorax: Two Case Reports.

Tension gastrothorax is a rare and potentially fatal complication of a diaphragmatic hernia, in which a massively dilated, intrathoracic stomach compresses the lungs and mediastinum, causing cardiorespiratory compromise, in a mechanism akin to tension pneumothorax. Although it is very rare, tension gastrothorax has been reported in the literature; however, such reports are almost exclusively restricted to its clinical presentation and treatment in emergency departments. To the best of our knowledge, no adult autopsy case reports of tension gastrothorax have been reported in the literature.

A Survey of Advanced Border Gateway Protocol Attack Detection Techniques.

The Internet's default inter-domain routing system, the Border Gateway Protocol (BGP), remains insecure. Detection techniques are dominated by approaches that involve large numbers of features, parameters, domain-specific tuning, and training, often contributing to an unacceptable computational cost. Efforts to detect anomalous activity in the BGP have been almost exclusively focused on single observable monitoring points and Autonomous Systems (ASs).