[Necessity of deflating the balloons].

Maroc Med

Published: August 1953

Download full-text PDF

Source

Publication Analysis

Top Keywords

[necessity deflating
4
deflating balloons]
4
[necessity
1
balloons]
1

Similar Publications

Article Synopsis
  • - Hemorrhage is the main cause of preventable death in trauma situations, leading to military and civilian advancements in medical practices, particularly through the use of tourniquets to manage extremity bleeding and save lives.
  • - While tourniquets have significantly decreased deaths from bleeding in military settings, noncompressible hemorrhage still poses a major risk, especially before patients receive definitive medical care.
  • - The study explores using a small, disposable pressure monitor during resuscitative endovascular balloon occlusion of the aorta (REBOA) to enhance blood pressure monitoring, facilitate better resuscitation practices, and reduce the need for blood products in extreme environments.
View Article and Find Full Text PDF

Obesity remains a significant health burden worldwide, requiring diverse and effective treatment strategies. The intragastric balloon (IGB), developed in the 1980s, offers a non-surgical option for weight management. Despite a decrease in usage, the IGB procedure continues to be an option for patients both domestically and abroad.

View Article and Find Full Text PDF

Heart rate variability (HRV) has been used to measure autonomic nervous system (ANS) activity noninvasively. The purpose of this study was to identify the most suitable HRV parameters for ANS activity in response to brief rectal distension (RD) in patients with Irritable Bowel Syndrome (IBS). IBS patients participated in a five-session study.

View Article and Find Full Text PDF

Machine learning of independent conservation laws through neural deflation.

Phys Rev E

August 2023

Department of Mathematics and Statistics, University of Massachusetts Amherst, Amherst, Massachusetts 01003-4515, USA.

We introduce a methodology for seeking conservation laws within a Hamiltonian dynamical system, which we term "neural deflation." Inspired by deflation methods for steady states of dynamical systems, we propose to iteratively train a number of neural networks to minimize a regularized loss function accounting for the necessity of conserved quantities to be in involution and enforcing functional independence thereof consistently in the infinite-sample limit. The method is applied to a series of integrable and nonintegrable lattice differential-difference equations.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!