Results 91 to 100 of about 953,075 (309)
Process optimization is a highly successful method for achieving optimal efficiency in industrial production. The conventional optimization approach presupposes that the operational parameters should align with the optimization settings.
Ling Li +5 more
core +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
IEEE Access, 2020 Multi-objective optimization has received increasing attention over the past few decades, and a large number of nature-inspired metaheuristic algorithms have been developed to solve multi-objective problems.
Khalil Alkebsi, Wenli Du
doaj +1 more source
Fast iterative solvers for PDE-constrained optimization problems [PDF]
, 2013 In this thesis, we develop preconditioned iterative methods for the solution of matrix systems arising from PDE-constrained optimization problems. In order to do this, we exploit saddle point theory, as this is the form of the matrix systems we wish to ...
Pearson, John W
core +1 more source
Structure‐forward targeting of claudins with synthetic binders
FEBS Letters, EarlyView.Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley +1 more source
Optimization Library for Interactive Multi-Criteria Optimization Tasks [PDF]
, 2012 The commercial library Optimization 2.1 for interactive multi-criteria optimization tasks has been released along with Dymola 2013. The library offers several numerical optimization algorithms for solving different kinds of optimization tasks.
Pfeiffer, Andreas, Andreas Pfeiffer
core +1 more source
Comparison of Multi-Object Control Methods Using Multi-Objective Optimization
, 2023 The aim of this work is to obtain multi-objective linear programming algorithms that can be used to solve the global problem of multi-object safety control processes in order to minimize the risk of collisions.
Józef Lisowski
core +1 more source
Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
FEBS Letters, EarlyView.Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
wiley +1 more source
Potential-Based Differential Evolution Algorithm With Joint Adaptation of Parameters and Strategies
IEEE Access, 2020 In the differential evolution (DE) algorithm, numerous studies have independently performed strategy adaptation and parameter adaptation. However, the strategy and parameters are interrelated in their impact on algorithm performance.
Li Tian, Zhichao Li, Xuefeng Yan
doaj +1 more source
An Enhanced Evaporation Rate Water-Cycle Algorithm for Global Optimization
, 2022 Water-cycle algorithm based on evaporation rate (ErWCA) is a powerful enhanced version of the water-cycle algorithm (WCA) metaheuristics algorithm.
Raneem Qaddoura +14 more
core +1 more source