Results 31 to 40 of about 21,299,052 (294)
Energies, 2021 This paper used different risk management indicators applied to the investment optimization performed by consumers in Distributed Generation (DG).
Jorge Luis Angarita-Márquez +2 more
doaj +1 more source
A note on scenario reduction for two-stage stochastic programs [PDF]
Operations Research Letters, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Holger Heitsch, Werner Römisch
openaire +2 more sources
Modelling the operation of multireservoir systems using decomposition and stochastic dynamic programming [PDF]
, 2006 Stochastic dynamic programming models are attractive for multireservoir control problems because they allow non-linear features to be incorporated and changes in hydrological conditions to be modeled as Markov processes.
Archibald, Thomas W.; id_orcid +5 more
core +1 more source
A Decomposition Algorithm for the Two-Stage Chance-Constrained Operating Room Scheduling Problem
IEEE Access, 2020 The required time for surgical interventions in operating rooms (OR) may vary significantly from the predicted values depending on the type of operations being performed, the surgical team, and the patient.
Amirhossein Najjarbashi, Gino J. Lim
doaj +1 more source
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS 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
Engineering Reports, 2022 An alternative way of looking at tolerance optimization is presented through a stochastic perspective by accounting for both manufacturing process uncertainty as well as uncertain market conditions.
Russell Krenek
doaj +1 more source
The Value of Stochastic Modeling in Two-Stage Stochastic Programs with Cost Uncertainty [PDF]
Operations Research, 2014 Although stochastic programming is probably the most effective framework for handling decision problems that involve uncertain variables, it is always a costly task to formulate the stochastic model that accurately embodies our knowledge of these variables.
Erick Delage +2 more
openaire +1 more source
On Generating Lagrangian Cuts for Two-Stage Stochastic Integer Programs
INFORMS Journal on Computing, 2022 We investigate new methods for generating Lagrangian cuts to solve two-stage stochastic integer programs. Lagrangian cuts can be added to a Benders reformulation and are derived from solving single scenario integer programming subproblems identical to those used in the nonanticipative Lagrangian dual of a stochastic integer program.
Rui Chen 0034, James R. Luedtke
openaire +2 more sources
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