AIMC Topic: 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...
Machine learning-guided fabrication of carbon dot-pepsin nano-conjugates for enhanced bioimaging, synergistic drug delivery, and visible light-induced photosensitization.
Nanoscale
Jun 12, 2025
Carbon dots (CDs) are emerging as next-generation bioimaging agents due to their strong fluorescence, photobleaching resistance, and biocompatibility. However, their small size often limits efficient cell internalization, leading to unspecified cellu...
Machine learning-assisted prediction and identification of key factors affecting nitrogen metabolism for aerobic granular sludge.
Environmental research
May 15, 2025
To achieve higher denitrification efficiency with reduced energy consumption in aerobic granular sludge (AGS) system, a systematic evaluation of the carbon and nitrogen metabolism process for AGS under different stage is essential. Herein, this study...
Factors and prediction of carbon emissions based on PSO-BP neural network model under the development of digital economy.
PloS one
Jan 1, 2025
The Yellow River Economic Belt, where the degree of digital economy development is uneven, is the first research object used in this study. It then suggests a way to measure the degree of digital economy development and carbon emissions in order to a...
Dominant Edaphic Controls on Particulate Organic Carbon in Global Soils.
Global change biology
Dec 1, 2024
The current soil carbon paradigm puts particulate organic carbon (POC) as one of the major components of soil organic carbon worldwide, highlighting its pivotal role in carbon mitigation. In this study, we compiled a global dataset of 3418 data point...
Long-term mortality burden trends attributed to black carbon and PM from wildfire emissions across the continental USA from 2000 to 2020: a deep learning modelling study.
The Lancet. Planetary health
Dec 1, 2023
BACKGROUND: Long-term improvements in air quality and public health in the continental USA were disrupted over the past decade by increased fire emissions that potentially offset the decrease in anthropogenic emissions. This study aims to estimate tr...
[Upgrading microbial strains for fermentation industry].
Sheng wu gong cheng xue bao = Chinese journal of biotechnology
Nov 25, 2022
Fermentation is a green, low-carbon and sustainable process for the production of food, chemicals, fuels, and materials by using microbial strains as biocatalysts and renewable resources such as starch and biomass as feedstocks. China has the world's...
Machine learning algorithms to control concentrations of carbon nanocomplexes in a biological medium via optical absorption spectroscopy: how to choose and what to expect?
Applied optics
Sep 20, 2021
A solution of spectroscopic inverse problems, implying determination of target parameters of the research object via analysis of spectra of various origins, is an overly complex task, especially in case of strong variability of the research object. O...
Evaluation of Lignin-Modifying Enzyme Activity of Trametes spp. (Agaricomycetes) Isolated from Georgian Forests with an Emphasis on T. multicolor Biosynthetic Potential.
International journal of medicinal mushrooms
Jan 1, 2018
In this study, a wide diversity in lignin-modifying enzyme (LME) secretion by 11 Trametes spp. strains isolated from the forests of Georgia was revealed in their submerged cultivation in both synthetic and lignocellulose-based media. Among them, T. m...
[Application of carbon nanoparticles as lymph node tracers in patients with cN0 lingual squamous cell carcinoma un-dergoing neck dissection].
Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology
Aug 1, 2016
OBJECTIVE: This study aimed to investigate the value of carbon nanoparticles as lymph node tracers in neck dissection for cN0 lingual squamous cell carcinoma patients.
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