For this work, an analysis of parameter estimation for the retention factor in GC model was performed, considering two different criteria: sum of square error, and maximum error in absolute value; relevant statistics are described for each case. The main contribution of this work is the implementation of an initialization scheme (specialized) for the estimated parameters, which features fast convergence (low computational time) and is based on knowledge of the surface of the error criterion. In an application to a series of alkanes, specialized initialization resulted in significant reduction to the number of evaluations of the objective function (reducing computational time) in the parameter estimation. The obtained reduction happened between one and two orders of magnitude, compared with the simple random initialization.
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http://dx.doi.org/10.1016/j.chroma.2015.10.073 | DOI Listing |
J Matern Fetal Neonatal Med
December 2025
Fetal Medicine Unit, St George's Hospital, London, UK.
Objective: To evaluate whether, in late pregnancy, the cerebral Doppler can identify very small fetuses that are less likely to experience intrapartum compromise (IC).
Material And Methods: This was a retrospective study of 282 singleton pregnancies that underwent an ultrasound scan at 32 + 0- 40 + 6 weeks and were delivered after induction, or spontaneous onset of labor. Very small fetuses were defined as fetuses with estimated weight less than the 3rd centile.
Int J Cardiol
January 2025
Internal Medicine Department, Centro Hospitalar e Universitário São João, Portugal; Department of Medicine, Faculty of Medicine of University of Porto, Portugal. Electronic address:
Background: Prognostic prediction in heart failure (HF) is challenging and no single marker has proven effective. We propose an index based on B-type natriuretic peptide (BNP) and four widely available parameters.
Methods: We retrospectively analyzed adult outpatients with chronic HF with systolic dysfunction followed from January 2012 to December 2020.
Comput Biol Med
January 2025
Univ. Grenoble Alpes, CNRS, CHU Grenoble Alpes, Grenoble INP, TIMC-IMAG, La Tronche, France.
Background And Objective: Heart auscultation enables early diagnosis of cardiovascular diseases. Automated segmentation of cardiograms into fundamental heart states can guide physicians to analyze the patient's condition more effectively. In this work, we propose an unsupervised method of segmentation into heart sounds and silences based on the detection of abrupt changes in the signal.
View Article and Find Full Text PDFNPJ Digit Med
January 2025
Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.
Noninvasive methods for intracranial pressure (ICP) monitoring have emerged, but none has successfully replaced invasive techniques. This observational study developed and tested a machine learning (ML) model to estimate ICP using waveforms from a cranial extensometer device (brain4care [B4C] System). The model explored multiple waveform parameters to optimize mean ICP estimation.
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