Results 111 to 120 of about 148,630 (258)

Serotonin 1B receptor effects on response inhibition are independent of inhibitory learning. [PDF]

Neurobiol Learn Mem, 2022
Desrochers SS, Nautiyal KM.
europepmc   +1 more source

Optimization of the Production of Rubber Compounds Using Mathematical Models

Advanced Engineering Materials, EarlyView.
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann   +7 more
wiley   +1 more source

Mining Bovine Milk Proteins for DPP-4 Inhibitory Peptides Using Machine Learning and Virtual Proteolysis

Research
Dipeptidyl peptidase-IV (DPP-4) enzyme inhibitors are a promising category of diabetes medications. Bioactive peptides, particularly those derived from bovine milk proteins, play crucial roles in inhibiting the DPP-4 enzyme.
Yiyun Zhang, Yiqing Zhu, Xin Bao, Zijian Dai, Qun Shen, Liyang Wang, Yong Xue   +6 more
doaj   +1 more source

Dopamine D2 receptors modulate the cholinergic pause and inhibitory learning. [PDF]

Mol Psychiatry, 2022
Gallo EF, Greenwald J, Yeisley J, Teboul E, Martyniuk KM, Villarin JM, Li Y, Javitch JA, Balsam PD, Kellendonk C.   +9 more
europepmc   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Multi-modal discrimination learning in humans: evidence for configural theory

, 2007
Human contingency learning was used to compare the predictions of configural and elemental theories. In three experiments, participants were required to learn which indicators were associated with an increase in core temperature of a fictitious nuclear ...
Redhead, Edward S., Edward S. Redhead
core   +1 more source

A novel bioinformatics pipeline for the identification of immune inhibitory receptors as potential therapeutic targets

eLife
Despite major successes with inhibitory receptor blockade in cancer, the identification of novel inhibitory receptors as putative drug targets is needed due to lack of durable responses, therapy resistance, and side effects.
Akashdip Singh, Alberto Miranda Bedate, Helen J von Richthofen, Saskia V Vijver, Michiel van der Vlist, Raphael Kuhn, Alexander Yermanos, Jürgen J Kuball, Can Kesmir, M Ines Pascoal Ramos, Linde Meyaard   +10 more
doaj   +1 more source

The Role of the Lateral Habenula in Inhibitory Learning from Reward Omission. [PDF]

eNeuro, 2021
Sosa R, Mata-Luévanos J, Buenrostro-Jáuregui M.   +2 more
europepmc   +1 more source

Stretching the Printability Metric in Direct‐Ink Writing with Highly Extensible Yield‐Stress Fluids

Advanced Functional Materials, EarlyView.
This study introduces “drawability” as a new metric for assessing printability in direct‐ink writing, focusing on gap‐spanning performance and speed robustness. By designing yield‐stress fluids with high extensibility, we demonstrate that extensional strain‐to‐break significantly enhances printability.
Chaimongkol Saengow, Samya Sen, Joaquin Yus, Eliza E. Lovrich, Amanda G. Hoika, Kelly M. Chang, Arielle A. Pfeil, Nellie Haug, Amy J. Wagoner Johnson, Randy H. Ewoldt   +9 more
wiley   +1 more source

Learning alters theta amplitude, theta-gamma coupling and neuronal synchronization in inferotemporal cortex [PDF]

, 2011
Background: How oscillatory brain rhythms alone, or in combination, influence cortical information processing to support learning has yet to be fully established.
Zhang Xuejuan, Yang Zhan, Zhan Yang, Nicol, Alister U., Fischer Hanno, Kendrick, Keith M., Xuejuan Zhang, Zhang, Xuejuan, Hanno Fischer, Nicol Alister U, Fischer, Hanno, Zhan, Yang, Alister U Nicol, Feng, Jianfeng, Jianfeng Feng, Keith M Kendrick, Kendrick Keith M, Feng Jianfeng   +17 more
core   +1 more source