Results 71 to 80 of about 4,880,796 (294)
Reinforcement learning or active inference?
This paper questions the need for reinforcement learning or control theory when optimising behaviour. We show that it is fairly simple to teach an agent complicated and adaptive behaviours using a free-energy formulation of perception.
Karl J Friston +2 more
doaj +1 more source
Cancer‐associated mutations in endometriosis reframe a benign disease through molecular oncology
This review aims to comprehensively analyse cancer‐associated somatic mutations (CAMs) present in endometriotic lesions, emphasizing their biological roles, spatial distribution and implications for translational applications in medicine. By contextualizing a benign state within a genomic framework, this analysis seeks to establish its value as a ...
Clarissa Mujacic +15 more
wiley +1 more source
Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach +9 more
wiley +1 more source
A Kernel-based Real-time Adaptive Dynamic Programming Method for Economic Household Energy Systems
A Kernel-based Real-time Adaptive Dynamic Programming Method for Economic Household Energy ...
Samson Yu (13093116) +5 more
core
Mechanisms and therapeutic opportunities of the ribotoxic stress response in cancer
Cancer cells' high translational demand creates opportunities to therapeutically target ribosome function. Ribosome stalling and collisions activate ZAKα and the ribotoxic stress response (RSR), which can trigger rapid, p53‐independent apoptosis in cancer.
Anastassiya Kim +7 more
wiley +1 more source
This paper investigates the surrounding control problem of multiple unmanned surface vehicles (USVs) against false data injection (FDI) attacks and proposes a learning-based prescribed performance control (PPC) integrated with a dynamic event-triggering (
Dongwei Wang, Ying Zhang, Qing Hu
doaj +1 more source
Dynamically adapting the degree of parallelism with reflexive programs
In this paper we present a new method for achieving a higher cost-efficiency on parallel computers. We insert routines into a program which detect the amount of computational work without using problem-specific parameters and adapt the number of used CPUs at runtime under given speedup/efficiency constraints.
Reimer, Niels +2 more
openaire +4 more sources
Using Numerical Dynamic Programming to Compare Passive and Active Learning in the Adaptive Management of Nutrients in Shallow Lakes [PDF]
This paper illustrates the use of dual/adaptive control methods to compare passive and active adaptive management decisions in the context of an ecosystem with a threshold effect.
Loomis, John B., Bond, Craig A.
core
The VHL tumor suppressor at the crossroad of protein folding, aggregation, and cancer
Mutations, environmental stress, and chaperone dysfunction can destabilize pVHL, promoting its conversion from the native folded state into amyloid‐like assemblies. This transition may contribute to protein storage, cell dormancy, survival, and drug resistance.
Lara Abad +2 more
wiley +1 more source
Extracellular vesicle (EV) lipidomic profiling of plasma and ascites from patients with high‐grade serous ovarian cancer and of ovarian cancer cell lines reveals enrichment of triglycerides (TGs), diacylglycerols (DGs), phosphatidylcholine (PCs), sphingomyelins (SMs), reflecting tumor metabolic reprogramming.
Shikha Rani +9 more
wiley +1 more source

