AIMC Topic: Carbon Dioxide

Clear Filters Showing 11 to 20 of 148 articles

Segmentation for Learning Adsorption Patterns and Residence-Time Kinetics on Amorphous Surfaces.

Journal of chemical information and modeling
Heterogeneous surfaces such as amorphous silica are characterized by highly heterogeneous local atomic environments that govern the adsorption of gas molecules through spatial arrangements. These surfaces exhibit properties that are particularly rele...

Rubisco-Centric Strategies for Carbon Conservation in Synthetic Biology.

Journal of agricultural and food chemistry
The escalating global climate crisis urgently demands biomanufacturing technologies with higher carbon efficiency. Ribulose-1,5-bisphosphate carboxylase/oxygenase (Rubisco), the central enzyme catalyzing carbon dioxide fixation in the Calvin-Benson c...

Prediction of CO concentration in mushroom greenhouse via optimized long and short term memory algorithm.

Scientific reports
To increase the accuracy as well as effectiveness of predicting the level of CO in mushroom cultivating greenhouses, two optimized prediction models of long and short term memory neural networks (VMD-SSA-LSTM and VMD-DBO-LSTM) are proposed. To start ...

Strategies to improve photosynthesis by modifying the RuBisCO system and its limitations.

Molecular biology reports
RuBisCO (Ribulose-1,5-bisphosphate carboxylase/oxygenase) is the primary enzyme responsible for carbon fixation in the Calvin-Benson-Bassham cycle, yet it remains one of the most inefficient enzymes in nature. Its slow catalytic rate, low specificity...

Real-Time Estimation of Arterial Partial Pressure of Carbon Dioxide in Patients Undergoing General Anesthesia: Predictive Modeling Study.

JMIR medical informatics
BACKGROUND: Adequate ventilation in mechanically ventilated patients is contingent upon the monitoring of the arterial partial pressure of carbon dioxide (PaCO2) during general anesthesia. Despite its significance, continuous monitoring remains chall...

Neural Network-Enhanced FMCW Gas Spectroscopy.

ACS sensors
Detecting multicomponent gases over extensive concentration ranges with laser spectroscopy faces challenges of complex configurations, intricate spectral analysis, and reduced accuracy. Neural networks offer transformative potential for advancing las...

Predictive analysis of solubility data with pressure and temperature in assessing nanomedicine preparation via supercritical carbon dioxide.

Scientific reports
This work presents a comprehensive study on the prediction of phenytoin solubility at supercritical state using advanced techniques including machine learning analysis. The solubility of small-molecule pharmaceutical was analyzed and calculated to en...

The Two Tales of AI: A Global assessment of the environmental impacts of artificial intelligence from a multidimensional policy perspective.

Journal of environmental management
Despite the rapid global expansion of artificial intelligence (AI), its environmental impacts across socio-economic contexts remain underexplored. This study evaluates the relationship between AI intensity and environmental performance across 56 coun...

Machine learning analysis of greenhouse gas sources impacting Africa's food security nexus.

Scientific reports
The essential need to identify the most informative sources of greenhouse gas emissions (climate change drivers) impacting the food security nexus in Africa requires a comprehensive and holistic approach. Machine learning method excels in the identif...

Thermodynamic analysis and intelligent modeling of statin drugs solubility in supercritical carbon dioxide.

Scientific reports
Evaluating the solubility of various drugs in supercritical CO is a fundamental step in developing a supercritical process for formulating new pharmaceuticals. Atorvastatin, Lovastatin, and Simvastatin are statin drugs with limited solubility and low...