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On Tractable Convex Relaxations of Standard Quadratic Optimization Problems under Sparsity Constraints.
J Optim Theory Appl
January 2025
School of Mathematics, The University of Edinburgh, Peter Guthrie Tait Road, Edinburgh, EH9 3FD UK.
Standard quadratic optimization problems (StQPs) provide a versatile modelling tool in various applications. In this paper, we consider StQPs with a hard sparsity constraint, referred to as sparse StQPs. We focus on various tractable convex relaxations of sparse StQPs arising from a mixed-binary quadratic formulation, namely, the linear optimization relaxation given by the reformulation-linearization technique, the Shor relaxation, and the relaxation resulting from their combination.
View Article and Find Full Text PDFTamarind ( L.) Components as a Sustainable Replacement for Pork Meat in Frankfurter Sausages.
Foods
January 2025
Laboratório de Indústria e Inspeção de Carnes e Derivados, Universidade Federal da Bahia, Salvador 40170-115, Brazil.
Five types of frankfurters were formulated: a control without tamarind (T0) and four samples using 5% tamarind pulp paste (PT5), seeds (ST5), peel (CT5), and a blend of all of them (PSCT5), replacing the same portion of meat. The inclusion of tamarind components led to a reduction in the moisture and protein content of the reformulated frankfurters. In terms of mineral composition, CT5 showed the highest ( < 0.
View Article and Find Full Text PDFReformulating the meta-analytical random effects model of the standardized mean difference as a mixture model.
Behav Res Methods
January 2025
Universidad a Distancia de Madrid, Madrid, Spain.
The classical meta-analytical random effects model (REM) has some weaknesses when applied to the standardized mean difference, g. Essentially, the variance of the studies involved is taken as the conditional variance, given a δ value, instead of the unconditional variance. As a consequence, the estimators of the variances involve a dependency between the g values and their variances that distorts the estimates.
View Article and Find Full Text PDFPulmonary function tests: an integrated approach to interpreting results in the search for treatable traits.
Expert Rev Respir Med
January 2025
Medical Sciences Post-Graduation Programme, School of Medical Sciences, State University of Rio de Janeiro (UERJ), Rio de Janeiro, Brazil.
Introduction: Technological advances have led to the proliferation of lung function assessment techniques beyond spirometry in most countries. At the same time, new knowledge of respiratory physiology has allowed an expansion of lung function parameters, requiring an integrated approach to interpreting results.
Areas Covered: This review addresses the major pulmonary function tests (PFTs) used in clinical practice, new concepts regarding reference values, and reformulations of terminology for defining standards of lung function impairment.
Efficient stochastic simulation of piecewise-deterministic Markov processes and its application to the Morris-Lecar model of neural dynamics.
Biol Cybern
January 2025
Institute for Physics and Astronomy, University of Potsdam, Karl-Liebknecht-Str. 24-25, 14476, Potsdam, Germany.
Piecewise-deterministic Markov processes combine continuous in time dynamics with jump events, the rates of which generally depend on the continuous variables and thus are not constants. This leads to a problem in a Monte-Carlo simulation of such a system, where, at each step, one must find the time instant of the next event. The latter is determined by an integral equation and usually is rather slow in numerical implementation.
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