Functional residual capacity in healthy preschool children [PDF]
The purpose of this study was to evaluate the feasibility of routine functional residual capacity (FRC) measurements in healthy preschool children aged 2.7-6.4 yrs. Furthermore, accuracy and reproducibility were investigated and normal values were collected. A mass-produced closed-circuit helium dilution device (rolling seal) was used. Selection of the
Pauwels, J.H.+6 more
openaire +4 more sources
A Deep Double Ritz Method (D$^2$RM) for solving Partial Differential Equations using Neural Networks [PDF]
Residual minimization is a widely used technique for solving Partial Differential Equations in variational form. It minimizes the dual norm of the residual, which naturally yields a saddle-point (min-max) problem over the so-called trial and test spaces. In the context of neural networks, we can address this min-max approach by employing one network to
arxiv +1 more source
Perioperative functional residual capacity [PDF]
The literature dealing with the magnitude, mechanism and effects of reduced FRC in the perioperative period is reviewed. During general anaesthesia FRC is reduced by approximately 20%. The reduction is greater in the obese and in patients with COPD. The most likely mechanism is the loss of inspiratory muscle tone of the muscles acting on the rib cage ...
openaire +3 more sources
Frustrations on decorated triangular lattice in Ising model [PDF]
We study the frustration properties of the Ising model on a decorated triangular lattice with an arbitrary number of decorating spins on all lattice bonds in the framework of an exact analytical approach based on the Kramers--Wannier transfer matrix method.
arxiv +1 more source
Functional Residual Capacity in Ventilated Infants and Children [PDF]
Positive end expiratory pressure (PEEP) is an accepted treatment for children with acute respiratory failure secondary to restrictive lung diseases. Using a simple technique based on open circuit nitrogen washout, we determined the functional residual capacity (FRC) in 25 ventilated children (age 3 wk-10 y) with acute respiratory failure secondary to ...
Christopher J. L. Newth+2 more
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Should the Functional Residual Capacity be Ignored?
The functional residual capacity was given the least importance than the other lung volume parameters. Studies have revealed the restrictive pattern of lung disease in patients with liver cirrhosis. We aimed to analyze the importance of the functional residual capacity and other lung volumes of cirrhotic patients.Forty (40) patients with cirrhosis ...
Kuppu K V Rao, Malathi, Chandra Selvi E
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Functional residual capacity related to hepatic disease. [PDF]
Functional residual capacity was measured in 20 children (aged 3.1-11.2 years) with liver disease. Children with severe liver disease, regardless of diagnosis, had reduced functional residual capacities (less than 80% of expected). Children with alpha-1 antitrypsin deficiency had higher functional residual capacities than those with other hepatic ...
G. Mieli-Vergani+4 more
openaire +3 more sources
Possible realization of three-dimensional quantum spin liquid behavior in HoVO4 [PDF]
The study of geometrically frustrated magnetic systems with unusual crystal field ground states offers a possibility of realizing the new aspects of physics of disordered systems. In this study, we report our results of structural, magnetic susceptibility, heat capacity measurements, along with density functional theory calculations on HoVO4; a ...
arxiv +1 more source
On Measuring Excess Capacity in Neural Networks [PDF]
We study the excess capacity of deep networks in the context of supervised classification. That is, given a capacity measure of the underlying hypothesis class - in our case, empirical Rademacher complexity - to what extent can we (a priori) constrain this class while retaining an empirical error on a par with the unconstrained regime? To assess excess
arxiv
Quadratic Residual Networks: A New Class of Neural Networks for Solving Forward and Inverse Problems in Physics Involving PDEs [PDF]
We propose quadratic residual networks (QRes) as a new type of parameter-efficient neural network architecture, by adding a quadratic residual term to the weighted sum of inputs before applying activation functions. With sufficiently high functional capacity (or expressive power), we show that it is especially powerful for solving forward and inverse ...
arxiv