Results 91 to 100 of about 2,776,634 (316)
The authors applied joint/mixed models that predict mortality of trifluridine/tipiracil‐treated metastatic colorectal cancer patients based on circulating tumor DNA (ctDNA) trajectories. Patients at high risk of death could be spared aggressive therapy with the prospect of a higher quality of life in their remaining lifetime, whereas patients with a ...
Matthias Unseld+7 more
wiley +1 more source
Model Predictive Frequency Control Employing Stability Constraints [PDF]
In this article a model predictive control (MPC) based frequency control scheme for energy storage units was derived, focusing on the incorporation of stability constraints based on Lyapunov theory and the concept of passivity. The proposed control schemes, guaranteeing closed-loop stability, are applied on a one-area and two-area power system. For the
arxiv
Crosstalk between gut microbiota and tumor: tumors could cause gut dysbiosis and metabolic imbalance
In this research, we analyzed the relationship between gut microbiota and tumor. We discovered that both subcutaneous and metastatic tumors would alter the composition and metabolic function of gut microbiota. Meanwhile, fecal microbiota transplantation also indicated the anti‐tumor role of the gut microbiota, revealing the crosstalk between tumor and ...
Siyuan Zhang+8 more
wiley +1 more source
The authors conducted a retrospective study of 94 patients with advanced cancer who underwent next‐generation sequencing (NGS) gene panel analysis and received targeted treatments when applicable. Results further support evidence indicating that molecular profiling provides clinical benefit.
Michaël Dang+3 more
wiley +1 more source
KMT2A degradation is observed in decitabine‐responsive acute lymphoblastic leukemia cells
We demonstrate that decitabine (DEC) not only degrades the DNA methyltransferase DNMT1 but also the leukemic driver lysine methyltransferase KMT2A likely due to structural similarity of the DNA‐binding CXXC domains. DEC influences KMT2A downstream processes and synergizes with menin inhibitor revumenib (REV) to decrease leukemic cell proliferation, and
Luisa Brock+10 more
wiley +1 more source
Understanding and Stabilizing GANs' Training Dynamics with Control Theory
Generative adversarial networks (GANs) are effective in generating realistic images but the training is often unstable. There are existing efforts that model the training dynamics of GANs in the parameter space but the analysis cannot directly motivate practically effective stabilizing methods.
Xu, Kun+3 more
openaire +2 more sources
MET variants in the N‐lobe of the kinase domain, found in hereditary papillary renal cell carcinoma, require ligand stimulation to promote cell transformation, in contrast to other RTK variants. This suggests that HGF expression in the microenvironment is important for tumor growth in such patients. Their sensitivity to MET inhibitors opens the way for
Célia Guérin+14 more
wiley +1 more source
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control [PDF]
Decentralized multi-agent control has broad applications, ranging from multi-robot cooperation to distributed sensor networks. In decentralized multi-agent control, systems are complex with unknown or highly uncertain dynamics, where traditional model-based control methods can hardly be applied. Compared with model-based control in control theory, deep
arxiv
Optimal Control Theories in the Design of Aircraft Stability Augmentation and Control Systems
This paper outlines modern optimal control theory and its possible application to the design of some aircraft control systems. Both continuous and discrete control laws are considered. Deterministic linear systems with a quadratic index of performance (state feedback) are discussed and extended to real and implicit model-following.
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Graphic theory on interval stability of networked control systems
Abstract A new method on the interval stability of networked control systems (NCSs) with random delay and data packet dropout is studied. Combining interval systems and NCSs, a graphic condition on judging interval stability is presented in terms of the weighted diagraph theory in graph theory.
Zhang Qing-ling, Li Jinna
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