Results 41 to 50 of about 19,699 (306)

Cell geometry and membrane protein crowding constrain Escherichia coli growth rate, overflow metabolism, respiration, and maintenance energy

open access: yesFEBS Letters, EarlyView.
The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson   +6 more
wiley   +1 more source

A Global Minimizer for Mass-Constrained Problem Revisited

open access: yesAxioms
We investigate the existence of solutions to the scalar field equation −Δu=g(u)−λuinRN, with mass constraint ∫RN|u|2dx=a>0,u∈H1(RN). Here, N≥3; g is a continuous function satisfying the conditions of the Berestycki–Lions type; λ is a Lagrange multiplier. Our results supplement and generalize some of the results in L. Jeanjean, S.-S. Lu, Calc.
Chun-Fei Long, Gui-Dong Li
openaire   +2 more sources

Design and analysis strategies for robust microbiome ageing research

open access: yesFEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik   +5 more
wiley   +1 more source

Relaxed Viscosity Approximation Methods with Regularization for Constrained Minimization Problems [PDF]

open access: yesJournal of Applied Mathematics, 2013
We introduce a new relaxed viscosity approximation method with regularization and prove the strong convergence of the method to a common fixed point of finitely many nonexpansive mappings and a strict pseudocontraction that also solves a convex minimization problem and a suitable equilibrium problem.
Lu-Chuan Ceng   +2 more
openaire   +3 more sources

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

open access: yesFEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei   +3 more
wiley   +1 more source

Application of pattern search method to power system valve-point economic load dispatch [PDF]

open access: yes, 2007
Direct search (DS) methods are evolutionary algorithms used to solve constrained optimization problems. DS methods do not require any information about the gradient of the objective function at hand, while searching for an optimum solution.
AL-Othman, A.K.   +2 more
core  

Sufficient optimality criterion for linearly constrained, separable concave minimization problems [PDF]

open access: yes, 2005
A sufficient optimality criterion for linearly-constrained concave minimization problems is given in this paper. Our optimality criterion is based on the sensitivity analysis of the relaxed linear programming problem.
Illes, T., Nagy, Á.B.
core   +1 more source

A New Nonconvex Sparse Recovery Method for Compressive Sensing

open access: yesFrontiers in Applied Mathematics and Statistics, 2019
As an extension of the widely used ℓr-minimization with 0 < r ≤ 1, a new non-convex weighted ℓr − ℓ1 minimization method is proposed for compressive sensing.
Zhiyong Zhou, Jun Yu
doaj   +1 more source

A production-inventory model for a deteriorating item with shortage and time dependent demand [PDF]

open access: yesYugoslav Journal of Operations Research, 2011
In the present article, a production-inventory model is developed over a finite planning horizon where the demand varies linearly with time. The machine production rate is assumed to be finite and constant.
Khanra S., Chaudhuri K.S.
doaj   +1 more source

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif   +17 more
wiley   +1 more source

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