AIMC Topic: Carbon

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Prediction of hydrogen and carbon chemical shifts from RNA using database mining and support vector regression.

Journal of biomolecular NMR Jul 4, 2015
The Biological Magnetic Resonance Data Bank (BMRB) contains NMR chemical shift depositions for over 200 RNAs and RNA-containing complexes. We have analyzed the (1)H NMR and (13)C chemical shifts reported for non-exchangeable protons of 187 of these R...
Hydrogen Information Storage and Retrieval Automation Calibration Carbon Regression Analysis Data Mining Nucleotides RNA Databases as Topic Support Vector Machine
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Multifactor dimensionality reduction analysis to elucidate the cross-talk between one-carbon and xenobiotic metabolic pathways in multi-disease models.

Molecular biology reports Feb 4, 2015
Putatively functional polymorphisms of one-carbon and xenobiotic metabolic pathways influence susceptibility for wide spectrum of diseases. The current study was aimed to explore gene-gene interactions among these two metabolic pathways in four disea...
Multifactor Dimensionality Reduction Humans Xenobiotics Female Breast Neoplasms Male Epistasis, Genetic Factor Analysis, Statistical Oxidoreductases Lupus Erythematosus, Systemic Transferases Carbon Coronary Artery Disease Parkinson Disease Sex Factors Case-Control Studies Metabolic Networks and Pathways Datasets as Topic Genetic Predisposition to Disease Gene Expression Regulation Polymorphism, Single Nucleotide
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Application of neural networks with novel independent component analysis methodologies to a Prussian blue modified glassy carbon electrode array.

Talanta Aug 13, 2014
Sodium potassium absorption ratio (SPAR) is an important measure of agricultural water quality, wherein four exchangeable cations (K(+), Na(+), Ca(2+) and Mg(2+)) should be simultaneously determined. An ISE-array is suitable for this application beca...
Agricultural Irrigation Water Pollutants, Chemical Ferrocyanides Glass Carbon Neural Networks, Computer Electrochemical Techniques Molecular Imprinting Principal Component Analysis Electrodes Calibration Algorithms Coloring Agents Biosensing Techniques
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Portable and intelligent ratio fluorometry and colorimetry for dual-mode detection of dopamine based on B, N-codoped carbon dots and machine learning.

Talanta Nov 1, 2025
A dual-mode approach was developed for dopamine (DA) assay based on boron (B) and nitrogen (N) co-doped carbon dots (B, N-CDs). This platform enabled highly sensitive and specific detection of DA in biological samples through collaborative ratio fluo...
Fluorometry Humans Limit of Detection Dopamine Colorimetry Machine Learning Boron Fluorescent Dyes Carbon Nitrogen Quantum Dots
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Managing waste for production of low-carbon concrete mix using uncertainty-aware machine learning model.

Environmental research Aug 15, 2025
This study introduces an uncertainty-aware AI-driven optimization framework for designing sustainable concrete mixtures that incorporate waste-derived materials. The primary objectives are to reduce global warming potential (GWP) and promote a circul...
Machine Learning Carbon Global Warming Construction Materials Waste Management Uncertainty
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Total nitrogen levels as a key constraint on soil organic carbon stocks across Australian agricultural soils.

Environmental research Aug 15, 2025
Understanding how pedoclimatic drivers regulate soil organic carbon (SOC) stock is crucial for gaining insights into terrestrial carbon-climate feedback and thus adaptation to climate change. However, current data-driven SOC predictive models often n...
Climate Change Soil Australia Agriculture Carbon Nitrogen
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Afforestation Surpasses Abandonment in the Recovery of Post-Agricultural Soil Organic Carbon in China as Estimated by Machine Learning Models.

Global change biology Aug 1, 2025
The surface soil organic carbon (SOC) dynamics typically follow a trend of initial loss followed by subsequent accumulation after cropland abandonment. However, the timing of SOC stock increase (referred to as the threshold in this study) remains ins...
Machine Learning Soil Carbon Conservation of Natural Resources Forestry China Agriculture Models, Theoretical
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Artificial intelligence-driven internet of things-based green supply chain for carbon reduction in sustainable manufacturing.

Journal of environmental management Aug 1, 2025
Recent advancements in sustainable business practices and information technology trends have led to the rise of green smart supply chains. These green sustainable supply chains are a novel approach that involves information technology to enhance the ...
Carbon Internet of Things Conservation of Natural Resources Artificial Intelligence
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Spatiotemporal variations and driving mechanisms of carbon storage in Central Asia: Insights from the PLUS-InVEST models and machine learning.

Journal of environmental management Aug 1, 2025
Against the backdrop of global climate change and rapid socioeconomic advancement, significant land use/cover changes(LUCC) in Central Asia have profoundly impacted terrestrial ecosystem carbon storage(CS). However, the assessment and spatiotemporal ...
Carbon Sequestration Forests Climate Change Conservation of Natural Resources Machine Learning Ecosystem Carbon
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Advances in photoactivated carbon-based nanostructured materials for targeted cancer therapy.

Advanced drug delivery reviews Jul 1, 2025
In this review, we explore key innovations in photoactivated therapeutic programming of carbon-based nanomaterials (CBNs), focusing on their diverse nanostructural configurations and their exceptional photothermal, photochemical, and photoacoustic pr...
Humans Animals Phototherapy Neoplasms Photochemotherapy Carbon Nanostructures
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