Results 81 to 90 of about 195,650 (335)
Helper and ionizable lipids play a crucial role in determining ApoE binding and subsequent liver tropism and LDLR‐mediated uptake. Ionizable lipids primarily govern the LDLR‐independent uptake pathway. This complementary interplay between lipid components ultimately governs LNP delivery performance and therapeutic efficacy in the liver.
Ashish Sarode +16 more
wiley +1 more source
Qualitatively varied reinforcement does not increase rates of schedule-induced behaviour
Qualitatively varied reinforcement (QVR) refers to the delivery of two or more consequences for the same operant response. It has been suggested that QVR ought to elicit higher response rates than a single reinforcer.
Cuitláhuac Núñez-Santana +3 more
doaj +1 more source
Adaptable bandwidth planning using reinforcement learning [PDF]
In order to improve the bandwidth allocation considering feedback of operational environment, adaptable bandwidth planning based on reinforcement learning is proposed.
Dirk Hetzer
doaj
The Effect of Effort: An analysis of Killeen's (1994) Mathematical Principles of Reinforcement [PDF]
Mathematical Principles of Reinforcement (MPR, Killeen, 1994) is a mathematical model comprising three main concepts; an animal’s arousal to behaviour based on its motivation for a particular reinforcer, time and energy constraints on responding, and ...
Bjarnesen, Rebecca Claire
core +1 more source
Materials and System Design for Self‐Decision Bioelectronic Systems
This review highlights how self‐decision bioelectronic systems integrate sensing, computation, and therapy into autonomous, closed‐loop platforms that continuously monitor and treat diseases, marking a major step toward intelligent, self‐regulating healthcare technologies.
Qiankun Zeng +9 more
wiley +1 more source
Partial primary reinforcement as a parameter of secondary reinforcement [PDF]
Thesis (Ph.D.)--Boston UniversityThe problem of this paper is to investigate partial primary reinforcement as a possible parameter of secondary reinforcement.
Klein, Richard Milton
core +1 more source
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley +1 more source
Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains
How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao +3 more
wiley +1 more source
NDST3‐Induced Epigenetic Reprogramming Reverses Neurodegeneration in Parkinson's Disease
NDST3‐mediated epigenetic reprogramming revitalizes neuronal circuits in the substantia nigra and striatum to halt dopaminergic neuron degeneration and restore motor function in Parkinson's disease models. This strategy promotes neuronal maintenance and functional recovery, highlighting NDST3's therapeutic potential in neurodegenerative disorders ...
Yujung Chang +18 more
wiley +1 more source
A reinforcement learning model with choice traces for a progressive ratio schedule
The progressive ratio (PR) lever-press task serves as a benchmark for assessing goal-oriented motivation. However, a well-recognized limitation of the PR task is that only a single data point, known as the breakpoint, is obtained from an entire session ...
Keiko Ihara +6 more
doaj +1 more source

