scholarly journals Supplementary material to "OPTiMAL: A new machine learning approach for GDGT-based palaeothermometry"

2019 ◽  
Author(s):  
Yvette L. Eley ◽  
William Thompson ◽  
Sarah E. Greene ◽  
Ilya Mandel ◽  
Kirsty Edgar ◽  
...  
Keyword(s):  
Machine Learning ◽  
Learning Approach ◽  
Machine Learning Approach ◽  
Supplementary Material ◽  
New Machine

scholarly journals Low Amplitude Burst Detection of Catecholamines

2021 ◽  
Author(s):  
Amnah Eltahir ◽  
Jason White ◽  
Terry Lohrenz ◽  
P. Read Montague
Keyword(s):  
Machine Learning ◽  
Electrochemical Detection ◽  
Perception And Action ◽  
Learning Approach ◽  
Voltage Waveform ◽  
Machine Learning Approach ◽  
Dependent Signal ◽  
Low Amplitude ◽  
New Machine

Abstract Machine learning advances in electrochemical detection have recently produced subsecond and concurrent detection of dopamine and serotonin during perception and action tasks in conscious humans. Here, we present a new machine learning approach to subsecond, concurrent separation of dopamine, norepinephrine, and serotonin. The method exploits a low amplitude burst protocol for the controlled voltage waveform and we demonstrate its efficacy by showing how it separates dopamine-induced signals from norepinephrine induced signals. Previous efforts to deploy electrochemical detection of dopamine in vivo have not separated the dopamine-dependent signal from a norepinephrine-dependent signal. Consequently, this new method can provide new insights into concurrent signaling by these two important neuromodulators.

Accelerated identification of high-performance catalysts for low-temperature NH3-SCR by machine learning

2021 ◽  
Author(s):  
Yi Dong ◽  
Yu Zhang ◽  
Mingchu Ran ◽  
Xiao Zhang ◽  
Shaojun Liu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Low Temperature ◽  
High Performance ◽  
Rapid Screening ◽  
Learning Approach ◽  
Scr Catalyst ◽  
Nh3 Scr ◽  
Machine Learning Approach

A machine learning approach for SCR catalyst discovery is presented to realize the rapid screening of optimal catalysts.

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