AIMC Topic: Oxidation-Reduction
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Precision Medicine in Glaucoma: Artificial Intelligence, Biomarkers, Genetics and Redox State.
International journal of molecular sciences
Feb 1, 2023
Glaucoma is a multifactorial neurodegenerative illness requiring early diagnosis and strict monitoring of the disease progression. Current exams for diagnosis and prognosis are based on clinical examination, intraocular pressure (IOP) measurements, v...
A regression-based machine learning approach for pH and glucose detection with redox-sensitive colorimetric paper sensors.
Analytical methods : advancing methods and applications
Dec 1, 2022
Colorimetric paper sensors are used in various fields due to their convenience and intuitive manner. However, these sensors present low accuracy in practical use because it is difficult to distinguish color changes for a minute amount of analyte with...
Multilayer redox-based HfO/AlO/TiO memristive structures for neuromorphic computing.
Scientific reports
Oct 29, 2022
Redox-based memristive devices have shown great potential for application in neuromorphic computing systems. However, the demands on the device characteristics depend on the implemented computational scheme and unifying the desired properties in one ...
Predicting the oxidation states of Mn ions in the oxygen-evolving complex of photosystem II using supervised and unsupervised machine learning.
Photosynthesis research
Jul 27, 2022
Serial Femtosecond Crystallography at the X-ray Free Electron Laser (XFEL) sources enabled the imaging of the catalytic intermediates of the oxygen evolution reaction of Photosystem II (PSII). However, due to the incoherent transition of the S-states...
Pd/silicalite-1: An highly active catalyst for the oxidative removal of toluene.
Journal of environmental sciences (China)
Dec 29, 2021
Catalytic combustion is thought as an efficient and economic pathway to remove volatile organic compounds, and its critical issue is the development of high-performance catalytic materials. In this work, we used the in situ synthesis method to prepar...
Application of Artificial Neural Network Based on Traditional Detection and GC-MS in Prediction of Free Radicals in Thermal Oxidation of Vegetable Oil.
Molecules (Basel, Switzerland)
Nov 6, 2021
In this study, electron paramagnetic resonance (EPR) and gas chromatography-mass spectrometry (GC-MS) techniques were applied to reveal the variation of lipid free radicals and oxidized volatile products of four oils in the thermal process. The EPR r...
Rapid Assessment of Quality Changes in French Fries during Deep-frying Based on FTIR Spectroscopy Combined with Artificial Neural Network.
Journal of oleo science
Sep 8, 2021
Fourier transform infrared (FTIR) spectroscopy combined with backpropagation artificial neural network (BP-ANN) were utilized for rapid and simultaneous assessment of the lipid oxidation indices in French fries. The conventional indexes (i.e. total p...
Controllable high-performance memristors based on 2D FeGeTeoxide for biological synapse imitation.
Nanotechnology
May 19, 2021
Memristors are an important component of the next-generation artificial neural network, high computing systems, etc. In the past, two-dimensional materials based memristors have achieved a high performance and low power consumption, though one at the...
Discrimination of white wine ageing based on untarget peak picking approach with multi-class target coupled with machine learning algorithms.
Food chemistry
Feb 16, 2021
The complexity of the chemical reactions occurring during white wine storage, such as oxidation turns the capacity of prediction and consequently the capacity to avoid it extremely difficult. This study proposes an untarget methodology based on machi...
Prediction and analysis of redox-sensitive cysteines using machine learning and statistical methods.
Biological chemistry
Jan 6, 2021
Reactive oxygen species are produced by a number of stimuli and can lead both to irreversible intracellular damage and signaling through reversible post-translational modification. It is unclear which factors contribute to the sensitivity of cysteine...
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