1077 patients received NIV, 55% had a pH<7.26 and 49% (305/618) had or were still receiving high flow oxygen. 30% (136/453) patients with persisting respiratory acidosis did not receive NIV while 11% ...

Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a team has created an algorithm capable of optimizing multiple targets at once, effectively ...

Disruption of any of these can cause fetal hypoxia, which, despite compensatory mechanisms, may lead to acidosis. When severe and acute (lasting hours), but especially if prolonged (days or weeks), ...

Its physiological meaning has not yet been definitely determined, but the most common explanation is a failure of the body’s buffering mechanisms which leads to metabolic (lactic) acidosis. It was ...

src/js/index.js file contains all the data structures and algorithms listed by chapter. |_examples (how to use each data structure and algorithm, organized by chapter ...

Piazza is the best way to contact the course staff. Lecture 2. (Jan 19) The Karger-Klein-Tarjan randomized algorithm. Directed MSTs (aka Arborescences and Branchings). LP approaches. (draft notes) Our ...

metabolic acidosis and diarrhoea. It is crucial to promptly identify and administer methylene blue treatment to potentially rescue the life of the neonate. Contributors The following authors were ...

15-210 aims to teach methods for designing, analyzing, and programming sequential and parallel algorithms and data structures. The emphasis is on teaching fundamental concepts applicable across a wide ...

The report, titled "YouTube's Anorexia Algorithm," examines the first 1,000 videos that a teen girl would receive in the "Up Next" panel when watching videos about weight loss, diet or exercise ...

Abbott is already a big player in the wearable glucose-monitoring sector, and has started working on a new device that will measure both glucose and ketones, potentially serving as a warning ...

The main goal of a classification problem is to identify the category/class to which a new data will fall under. Definition: Logistic regression is a machine learning algorithm for classification. In ...