AIMC Topic: Copper
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Preparation, characterization and toxicological investigation of copper loaded chitosan nanoparticles in human embryonic kidney HEK-293 cells.
Materials science & engineering. C, Materials for biological applications
Dec 18, 2015
Metallic nanoparticles often attribute severe adverse effects to the various organs or tissues at the molecular level despite of their applications in medical, laboratory and industrial sectors. The present study highlights the preparation of copper ...
A negative combined effect of exposure to maternal Mn-Cu-Rb-Fe metal mixtures on gestational anemia, and the mediating role of creatinine in the Guangxi Birth Cohort Study (GBCS): Twelve machine learning algorithms.
Ecotoxicology and environmental safety
Jul 15, 2025
The link between individual metals and gestational anemia has been established, but the impact of metal mixtures and the mediating role of renal function on gestational anemia remain inconclusive. The concentrations of 20 blood essential trace and no...
Soil type and content of macro-elements determine hotspots of Cu and Ni accumulation in soils of subarctic industrial barren: inference from a cascade machine learning.
Environmental pollution (Barking, Essex : 1987)
Jul 15, 2025
Aerial technogenic pollution from the activity of ferrous and non-ferrous metallurgy resulting in degradation of vulnerable natural ecosystems is a principal environmental problem in Russian Arctic. The industrial barren in the vicinity of Monchegors...
Machine Learning-Guided Cobalt@Copper Dual-Metal Electrochemical Sensor for Urinary Creatinine Detection.
ACS sensors
May 23, 2025
By utilizing the synergistic effects of a dual-metal cobalt@copper electrode and advanced machine learning algorithms, we have developed a reliable and cost-effective electrochemical sensor for creatinine monitoring. The sensor's active surface was f...
Molecular characterization, immunocorrelation analysis, WGCNA analysis and machine learning modeling of genes associated with copper death subtypes of laryngeal cancer.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2024
BACKGROUND: Laryngeal cancer is a malignant tumor that originates from the mucous membrane of the larynx. Currently, the specific involvement mechanism of copper death in laryngeal cancer patients has not been deeply studied.
COPPER: an ensemble deep-learning approach for identifying exclusive virus-derived small interfering RNAs in plants.
Briefings in functional genomics
May 18, 2023
Antiviral defenses are one of the significant roles of RNA interference (RNAi) in plants. It has been reported that the host RNAi mechanism machinery can target viral RNAs for destruction because virus-derived small interfering RNAs (vsiRNAs) are fou...
Follicular fluid supplemented with copper and zinc increase the maturation rate of mouse vitrified-warmed oocytes.
Cryo letters
Jan 1, 2021
BACKGROUND: Immature oocyte cryopreservation is a therapeutic option in assisted reproductive technology.
High-throughput screening and Bayesian machine learning for copper-dependent inhibitors of Staphylococcus aureus.
Metallomics : integrated biometal science
Mar 20, 2019
One potential source of new antibacterials is through probing existing chemical libraries for copper-dependent inhibitors (CDIs), i.e., molecules with antibiotic activity only in the presence of copper. Recently, our group demonstrated that previousl...
RRAM-based synapse devices for neuromorphic systems.
Faraday discussions
Feb 18, 2019
Hardware artificial neural network (ANN) systems with high density synapse array devices can perform massive parallel computing for pattern recognition with low power consumption. To implement a neuromorphic system with on-chip training capability, w...
Artificial neural network approach to modelling of metal contents in different types of chocolates.
Acta chimica Slovenica
Jan 1, 2015
The relationships between the contents of various metals in different types of chocolates were studied using chemometric approach. Chemometric analysis was based on the application of artificial neural networks (ANN). ANN was performed in order to se...
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