Results 151 to 160 of about 9,758 (260)

Software tools for stochastic programming: A Stochastic Programming Integrated Environment (SPInE) [PDF]

open access: yes, 2001
SP models combine the paradigm of dynamic linear programming with modelling of random parameters, providing optimal decisions which hedge against future uncertainties.
Mitra, G   +3 more
core  

HNRNPU K181 Lactylation Drives Cervical Cancer Growth by Upregulating PHGDH and Reprogramming Serine Metabolism

open access: yesAdvanced Science, EarlyView.
Lactate in cervical cancer induces HNRNPU K181 lactylation, opposed by NAA50‐mediated acetylation and suppressed by Pazopanib. This lactylation enhances HNRNPU binding to PHGDH pre‐mRNA exon 1, maintaining exon 1‐containing transcripts and mRNA stability, thereby activating serine metabolism.
Chang Zhang   +6 more
wiley   +1 more source

Differential Stability of Two-Stage Stochastic Programs

open access: yes, 2005
Two-stage stochastic programs with random right-hand side are considered. Optimal values and solution sets are regarded as mappings of the expected recourse functions and their perturbations, respectively. Conditions are identified implying that these mappings are directionally differentiable and semidifferentiable on appropriate functional spaces ...
Dentcheva, Darinka, Römisch, Werner
openaire   +1 more source

Persistently optimal policies in stochastic dynamic programming with generalized discounting [PDF]

open access: yes
In this paper we study a Markov decision process with a non-linear discount function. Our approach is in spirit of the von Neumann-Morgenstern concept and is based on the notion of expectation.
Jaśkiewicz, Anna   +2 more
core   +1 more source

Decomposition methods in stochastic programming [PDF]

open access: yes, 1997
Stochastic programming problems have very large dimension and characteristic structures which are tractable by decomposition. We review basic ideas of cutting plane methods, augmented Lagrangian and splitting methods, and stochastic decomposition methods
Ruszczynski, Andrzej, Ruszczynski, A.
core  

TSPYL5 Promotes Triple‐Negative Breast Cancer Metastasis by Antagonizing USP10‐Mediated PTEN Stabilization to Unleash a ZEB1‐Dependent EMT Program

open access: yesAdvanced Science, EarlyView.
The hyperactivation of PI3K/AKT signaling in PTEN wild‐type triple‐negative breast cancer represents a clinical paradox. We delineate a novel post‐translational regulatory axis wherein the oncogene TSPYL5 competitively antagonizes the deubiquitinase USP10.
Jiaying Shi   +8 more
wiley   +1 more source

Stochastic equilibrium models for generation capacity expansion [PDF]

open access: yes
Capacity expansion models in the power sector were among the first applications of operations research to the industry. The models lost some of their appeal at the inception of restructuring even though they still offer a lot of possibilities and are in ...
EHRENMANN, Andreas, SMEERS, Yves
core  

Integration of Spatiotemporal Multi‐Omics in Peach Fruit Unravels a Metabolic Niche and the Genetic Basis of Trichome‐Mediated Stress Adaptation

open access: yesAdvanced Science, EarlyView.
This study constructed the first spatiotemporal multi‐omics map of peach fruit and discovered a key candidate gene that synergistically regulates trichome development and drought tolerance through the jasmonic acid signaling pathway, providing insights into the coupling mechanism between development and stress resistance.
Zhixin Liu   +9 more
wiley   +1 more source

Disruption of Treg Homeostasis in Rheumatoid Arthritis via Ferroptosis‐Mediated ETC Collapse and TXK‐STAT3/PLCγ1 Activation

open access: yesAdvanced Science, EarlyView.
In rheumatoid arthritis, synovial Tregs accumulate but are functionally impaired due to iron overload‐induced ferroptosis. This triggers mitochondrial dysfunction and TXK tyrosine kinase‐mediated signaling, leading to Treg destabilization and inflammation.
Jingrong Chen   +19 more
wiley   +1 more source

A Stochastic Conjugate Subgradient Algorithm for Two-stage Stochastic Programming

open access: yes
Stochastic Optimization is a cornerstone of operations research, providing a framework to solve optimization problems under uncertainty. Despite the development of numerous algorithms to tackle these problems, several persistent challenges remain, including: (i) selecting an appropriate sample size, (ii) determining an effective search direction, and ...
Zhang, Di, Sen, Suvrajeet
openaire   +2 more sources

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