Some doses of fluvoxamine can decrease ethanol-maintained behavior more than food-maintained behavior. This might be explained by differences in reinforcement magnitude. In a previous study, the effects of fluvoxamine on fixed-ratio responding did not depend upon reinforcement magnitude. Response rates, however, differed with reinforcement magnitude. These differences in response rates might explain the failure to observe differences in the potency of fluvoxamine with changes in reinforcement magnitude. In this study, we examined whether the effects of fluvoxamine and desipramine depended on the reinforcement magnitude and response rate, by administering these drugs to pigeons responding under a multiple fixed-interval schedule, in which responding in three components was maintained by differing durations of food presentation (2, 4, and 8 s). The effects of fluvoxamine and desipramine depended jointly on control rate, reinforcement magnitude, and dose. Low fluvoxamine doses had rate-dependent effects in all three components, increasing lower rates more than higher rates: as dose increased, these rate-dependent effects became greater in the components maintained by the 2-s or 4-s food presentation; whereas, in the component maintained by the 8-s presentations, they declined. Low desipramine doses had rate-dependent effects only in the component maintained by the 2-s presentations, whereas higher doses had rate-dependent effects in components maintained by 2-s or 4-s presentations. Still higher doses had rate-dependent effects in all the three components. Although the effects of fluvoxamine and desipramine might not depend on reinforcement magnitude when studied under fixed-ratio schedules, reinforcement magnitude can modulate their effects when they are studied over a wider range of control response rates.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3677835 | PMC |
http://dx.doi.org/10.1097/FBP.0b013e3282f3d093 | DOI Listing |
Substance abuse research depends on precise and sensitive assessments of reinforcer efficacy in animal models. However, conventional methods often lack theoretical rigor and specificity to support these assessments. To address these gaps, the Modular Maximization Theory (MMT) is introduced as a comprehensive framework for understanding instrumental behavior.
View Article and Find Full Text PDFData Brief
February 2025
School of Engineering and Technology, University of New South Wales, Canberra, Australia.
This dataset is generated from real-time simulations conducted in MATLAB/Simscape, focusing on the impact of smart noise signals on battery energy storage systems (BESS). Using Deep Reinforcement Learning (DRL) agent known as Proximal Policy Optimization (PPO), noise signals in the form of subtle millivolt and milliampere variations are strategically created to represent realistic cases of False Data Injection Attacks (FDIA). These signals are designed to disrupt the State of Charge (SoC) and State of Health (SoH) estimation blocks within Unscented Kalman Filters (UKF).
View Article and Find Full Text PDFRSC Adv
January 2025
Department of Electrical Engineering and Electronics, University of Liverpool Brownlow Hill Liverpool L69 3GJ UK
In response to the demand for epoxy-based dielectric substrates with low dielectric loss in high-frequency and high-speed signal transmission applications, this study presents a surface-engineered filler material. Utilizing ball-milling, surface-modified aluminum flakes containing organic (stearic acid) and inorganic (aluminum oxide) coatings are developed. Incorporation of the filler into the epoxy matrix results in a significant increase in dielectric permittivity, by nearly 5 times (from 4.
View Article and Find Full Text PDFMaterials (Basel)
December 2024
National Key Laboratory for Precision Hot Processing of Metals, Harbin Institute of Technology, Harbin 150001, China.
In this study, a (TiB + TiC + YO)/α-Ti composite was prepared by induction skull melting to investigate its creep behavior and microstructure evolution under different temperatures and stresses. The results show that the microstructure of the composite in the as-cast state is a basket-weave structure, and the main phase composition is α lamella, containing a small amount of β phase and equiaxed α phase. The creep life of the composite decreases significantly when the temperature is increased from 650 °C to 700 °C, and the steady-state creep rate is increased by 1 to 2 orders of magnitude.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Department of Materials Science and Engineering, Hong Kong Institute for Advanced Study, City University of Hong Kong, Hong Kong, China.
The strength-ductility trade-off exists ubiquitously, especially in brittle intermetallic-containing multiple principal element alloys (MPEAs), where the intermetallic phases often induce premature failure leading to severe ductility reduction. Hierarchical heterogeneities represent a promising microstructural solution to achieve simultaneous strength-ductility enhancement. However, it remains fundamentally challenging to tailor hierarchical heterostructures using conventional methods, which often rely on costly and time-consuming processing.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!