An analogue computer model has been constructed to simulate the dynamic behaviour of the human cardiorespiratory system for studying the effect of changes in different system-variables--as alveolar ventilation, functional residual capacity (FRC) of the human lung and the cardiac output--on the partial pressure of carbon dioxide in the arterial and mixed venous blood (pCO2a, pCO2v). The respiratory analogue computer model (RACM) simulates reliably well-known clinical physiological as well as pathological phenomena. Reducing FRC or breath rate an oscillation of pCO2a has been developed, but the mean value has not been changed. In alveolar hypoventilation the pCO2 of blood increases in good conformity with the clinical experience. Reducing cardiac output a characteristic dissociation appeared: pCO2v and pCO2a diverged from each other by increasing pCO2v and decreasing pCO2a. Since in general clinical practice of intensive care only arterial blood gas values are checked regularly, the conclusion that the patient's condition is improving by decreasing pCO2a is a serious misinterpretation in this case, because peripheral tissues are in balance with the increasing venous carbon dioxide tension, and consequently cannot get rid of this toxic agent. The computer-model-based conclusion has led to the practice of sampling both arterial and venous carbon dioxide tensions for better state assessment of seriously ill patients.
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http://dx.doi.org/10.3109/14639239808995021 | DOI Listing |
Nat Comput Sci
January 2025
Department of Computer Science, Royal Holloway, University of London, Egham, UK.
ACS Nano
January 2025
Chandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States.
Spiking neural networks seek to emulate biological computation through interconnected artificial neuron and synapse devices. Spintronic neurons can leverage magnetization physics to mimic biological neuron functions, such as integration tied to magnetic domain wall (DW) propagation in a patterned nanotrack and firing tied to the resistance change of a magnetic tunnel junction (MTJ), captured in the domain wall-magnetic tunnel junction (DW-MTJ) device. Leaking, relaxation of a neuron when it is not under stimulation, is also predicted to be implemented based on DW drift as a DW relaxes to a low energy position, but it has not been well explored or demonstrated in device prototypes.
View Article and Find Full Text PDFJ Dent
January 2025
Clinic of General-, Special Care- and Geriatric Dentistry, Center for Dental Medicine, University of Zurich, Zurich, Switzerland; School of Dentistry, Federal University of Goiàs, Goiania, Brazil; Department of Reconstructive Dentistry, Division of Gerodontology, School of Dental Medicine, University of Bern, Bern, Switzerland.
Objective: This study aimed to explore the feasibility and reliability of measuring the vertical dimension of occlusion/rest (OVD/RVD) on 3D facial scans of edentulous patients.
Methods: Nineteen edentulous participants rehabilitated with complete removable dental prostheses (CDs) participated in this study. Analog measurements (control) were obtained directly on the face for each participant with the jaws positioned at the rest position (without CDs, RVD) and at central occlusion (OVD), between the facial landmarks: Glabella (G) and Soft Pogonion (SP), Pronasale (PN) and SP, and Subnasale (SN) and SP.
Oral Maxillofac Surg Clin North Am
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Full Arch Solutions +, 6848 Magnolia Avenue, #100, Riverside, CA, USA.
This article highlights the critical role of digital technologies, particularly photogrammetry, in full-arch dental implant practices. By replacing traditional analog methods, digital tools enhance the precision of implant placement and prosthetic design, leading to better functional and esthetic outcomes. The seamless integration of photogrammetry with a computer-aided design /computer-aided manufacturing system not only streamlines the workflow but also improves patient satisfaction by reducing treatment times and increasing comfort.
View Article and Find Full Text PDFPLoS One
January 2025
Xi'an Special Equipment Inspection Institute, Xi'an, Shaanxi, China.
A fault diagnosis method of nonlinear analog circuits is proposed that combines the generalized frequency response function (GFRF) and the simplified least squares support vector machine (LSSVM). In this study, the harmonic signal is used as an input to estimate the GFRFs. To improve the estimation accuracy, the GFRFs of an analog circuit are solved directly using time-domain data.
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