lead electrodes
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2021 ◽  
Vol 14 (4) ◽  
pp. 552-560
Author(s):  
Galina V. Burmakina ◽  
◽  
Dmitry V. Zimonin ◽  
Victor V. Verpekin ◽  
Anatoly I. Rubaylo

The reduction of levulinic acid by electrochemical methods in acetonitrile with or without proton donor on platinum, rhodium, glassy carbon, dropping mercury, iron, copper and lead electrodes were studied. The reduction of levulinic acid was shown to depend on the nature of electrode material and to proceed according to either electrocatalytic or electrochemical mechanisms


2021 ◽  
Vol 206 (Supplement 3) ◽  
Author(s):  
Jialiang Chen ◽  
Jianan Jian ◽  
Jicheng Wang ◽  
Zhijun Shen ◽  
Bing Shen ◽  
...  

Author(s):  
Navaneeth Punnakkal ◽  
Jeethu Raveendran ◽  
Suneesh Punathil Vasu ◽  
Bipin G Nair ◽  
T G Satheesh Babu

2020 ◽  
Vol 99 (1) ◽  
pp. 117-122
Author(s):  
Anatoly Bulat ◽  
Elena Shembel ◽  
Yuliya Polishchuk ◽  
Boris Blyuss ◽  
Volodymyr Redko ◽  
...  

Author(s):  
James E. Brown ◽  
Rui Qiang ◽  
Paul J. Stadnik ◽  
Larry J. Stotts ◽  
Jeffrey A. Von Arx

AbstractHistorically, patients with implantable medical devices have been denied access to magnetic resonance imaging (MRI) due to several potentially hazardous interactions. There has been significant interest in recent years to provide access to MRI to patients with implantable medical devices, as it is the preferred imaging modality for soft tissue imaging. Among the potential hazards of MRI for patients with an active implantable medical device is radio frequency (RF)-induced unintended stimulation. RF energy incident on the device may be rectified by internal active components. Any rectified waveform present at the lead electrodes may stimulate nearby tissue. In order to assess the risk to the patient, device manufacturers use computational human models (CHMs) to quantify the incident RF on the device and perform in vitro testing to determine the likelihood of unintended stimulation. The use of CHMs enables the investigation of millions of scenarios of scan parameters, patient sizes and anatomies, and MR system technologies.


2019 ◽  
Vol 96 (4) ◽  
pp. 83-91
Author(s):  
A.K. Bayeshova ◽  
◽  
A.M. Kongyratbay ◽  
F.M. Zhumabay ◽  
A. Bayeshov ◽  
...  

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