AIMC Topic: Ions
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Prediction of copper ions adsorption by attapulgite adsorbent using tuned-artificial intelligence model.
Chemosphere
Mar 4, 2021
Copper (Cu) ion in wastewater is considered as one of the crucial hazardous elements to be quantified. This research is established to predict copper ions adsorption (Ad) by Attapulgite clay from aqueous solutions using computer-aided models. Three a...
Deep learning the collisional cross sections of the peptide universe from a million experimental values.
Nature communications
Feb 19, 2021
The size and shape of peptide ions in the gas phase are an under-explored dimension for mass spectrometry-based proteomics. To investigate the nature and utility of the peptide collisional cross section (CCS) space, we measure more than a million dat...
Rotatable central composite design versus artificial neural network for modeling biosorption of Cr by the immobilized Pseudomonas alcaliphila NEWG-2.
Scientific reports
Jan 18, 2021
Heavy metals, including chromium, are associated with developed industrialization and technological processes, causing imbalanced ecosystems and severe health concerns. The current study is of supreme priority because there is no previous work that d...
Synaptic Iontronic Devices for Brain-Mimicking Functions: Fundamentals and Applications.
ACS applied bio materials
Sep 2, 2020
Inspired by the information transmission mechanism in the central nervous systems of life, synapse-mimicking devices have been designed and fabricated for the purpose of breaking the bottleneck of von Neumann architecture and realizing the constructi...
Fabrication of Carbon-Based Ionic Electromechanically Active Soft Actuators.
Journal of visualized experiments : JoVE
Apr 25, 2020
Ionic electromechanically active capacitive laminates are a type of smart material that move in response to electrical stimulation. Due to the soft, compliant and biomimetic nature of this deformation, actuators made of the laminate have received inc...
Breaking Down Structural Diversity for Comprehensive Prediction of Ion-Neutral Collision Cross Sections.
Analytical chemistry
Mar 6, 2020
Identification of unknowns is a bottleneck for large-scale untargeted analyses like metabolomics or drug metabolite identification. Ion mobility-mass spectrometry (IM-MS) provides rapid two-dimensional separation of ions based on their mobility throu...
ISFET and Dex-AgNPs based portable sensor for reusable and real-time determinations of concanavalin A and glucose on smartphone.
Biosensors & bioelectronics
Dec 13, 2019
In this paper, a portable real-time sensing device was built for Concanavalin A (Con A) and glucose detection using a smartphone. The ion-sensitive field-effect transistor (ISFET) functioning at a low working point was selected as a small-size, low-p...
Energy-Geometry Dependency of Molecular Structures: A Multistep Machine Learning Approach.
ACS combinatorial science
Aug 21, 2019
There is growing interest in estimating quantum observables while circumventing expensive computational overhead for facile in silico materials screening. Machine learning (ML) methods are implemented to perform such calculations in shorter times. He...
Optimizing the removal of strontium and cesium ions from binary solutions on magnetic nano-zeolite using response surface methodology (RSM) and artificial neural network (ANN).
Environmental research
Mar 28, 2019
The feasibility of using magnetic nano-zeolite (MNZ) to remove cesium and strontium from their binary corrosive solutions was investigated by considering the multi-variant/multi-objective nature of the process. RSM (Response Surface Methodology) and ...
Quantitative Assessment of the Physiological Parameters Influencing QT Interval Response to Medication: Application of Computational Intelligence Tools.
Computational and mathematical methods in medicine
Jan 4, 2018
Human heart electrophysiology is complex biological phenomenon, which is indirectly assessed by the measured ECG signal. ECG trace is further analyzed to derive interpretable surrogates including QT interval, QRS complex, PR interval, and T wave morp...
Humans
Myocytes, Cardiac
Artificial Intelligence
Observer Variation
Arrhythmias, Cardiac
Software
Action Potentials
Potassium
Clinical Trials as Topic
Sodium
Ions
Electrophysiology
Anti-Arrhythmia Agents
Models, Statistical
Algorithms
Terfenadine
Programming Languages
Regression Analysis
Calcium
Cell Membrane
Reproducibility of Results
Risk
Heart
Electrocardiography
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