Results 41 to 50 of about 66,511 (264)

Cancer cell‐intrinsic type 1 interferon: production, signaling, and outcomes within sex‐biased, female malignancies

Molecular Oncology, EarlyView.
The cell‐autonomous roles of interferon type 1 vary based on duration and intensity. While acute, robust signaling results in cancer cell cytotoxic effects, sustained, low‐level signaling is associated with tumor‐promoting effects. This review summarizes current research of IFN‐1 in cancer and within the clinical setting, with an emphasis on female ...
Ashlyn Conant, Nora Badiner, Sharon Asariah, Kiera McGivney, Vishwa Shah, Tise Suzuki, Yevgeniya J. Ioffe, Juli J. Unternaehrer   +7 more
wiley   +1 more source

Stochastic Control for Intra-Region Probability Maximization of Multi-Machine Power Systems Based on the Quasi-Generalized Hamiltonian Theory

Energies, 2019
With the penetration of renewable generation, electric vehicles and other random factors in power systems, the stochastic disturbances are increasing significantly, which are necessary to be handled for guarantying the security of systems.
Xue Lin, Lixia Sun, Ping Ju, Hongyu Li
doaj   +1 more source

Mutant NPM1 in Acute Myeloid Leukemia Initiation and Maintenance

Aging and Cancer, EarlyView.
NPM1 mutations drive acute myeloid leukemia by acting as neomorphic transcriptional regulators that cooperate with Menin–MLL and XPO1 to sustain HOX/MEIS1 expression and block differentiation. Targeting these mutant‐specific transcriptional dependencies provides a rational therapeutic strategy for NPM1‐mutated AML.
Yanan Jiang, Zhong Fan, Runmeng Liu, Xiaotian Zhang   +3 more
wiley   +1 more source

Optimal Control Algorithm for Stochastic Systems with Parameter Drift

Sensors, 2023
A novel optimal control problem is considered for multiple input multiple output (MIMO) stochastic systems with mixed parameter drift, external disturbance and observation noise.
Xiaoyan Zhang, Song Gao, Chaobo Chen, Jiaoru Huang   +3 more
doaj   +1 more source

Stochastic Optimal Control Matching

Advances in Neural Information Processing Systems 37
Stochastic optimal control, which has the goal of driving the behavior of noisy systems, is broadly applicable in science, engineering and artificial intelligence. Our work introduces Stochastic Optimal Control Matching (SOCM), a novel Iterative Diffusion Optimization (IDO) technique for stochastic optimal control that stems from the same philosophy as
Carles Domingo-Enrich, Jiequn Han, Brandon Amos, Joan Bruna, Ricky T. Q. Chen   +4 more
openaire   +3 more sources

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

Infinite Horizon Optimal Control of Stochastic Delay Evolution Equations in Hilbert Spaces

Abstract and Applied Analysis, 2013
The aim of the present paper is to study an infinite horizon optimal control problem in which the controlled state dynamics is governed by a stochastic delay evolution equation in Hilbert spaces.
Xueping Zhu, Jianjun Zhou
doaj   +1 more source

Singularly Perturbed Forward-Backward Stochastic Differential Equations: Application to the Optimal Control of Bilinear Systems

Computation, 2018
We study linear-quadratic stochastic optimal control problems with bilinear state dependence where the underlying stochastic differential equation (SDE) has multiscale features.
Omar Kebiri, Lara Neureither, Carsten Hartmann   +2 more
doaj   +1 more source

Control Theory and Economic Policy Optimization: The Origin, Achievements and the Fading Optimism from a Historical Standpoint [PDF]

International Journal of Business and Development Studies, 2015
Economists were interested in economic stabilization policies as early as the 1930’s but the formal applications of stability theory from the classical control theory to economic analysis appeared in the early 1950’s when a number of control engineers ...
Masoud Derakhshan
doaj   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga   +2 more
wiley   +1 more source