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Carbon Dioxide

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Method and evaluations of the effective gain of artificial intelligence models for reducing CO2 emissions.

Journal of environmental management
Nowadays, there is an increasing use of digital technologies and Artificial Intelligence (AI) such as Machine Learning (ML) models that leverage data to optimize the performances of systems in almost all activity sectors, including ML models for opti...

Towards low-carbon development: The role of industrial robots in decarbonization in Chinese cities.

Journal of environmental management
Technological advancements have played a key role in improving energy efficiency and reducing emissions, and industrial robots are important carriers of intelligent manufacturing and industrial upgrading. Although various countries and regions are un...

Haemodynamic and respiratory perioperative outcomes for open versus robot-assisted radical cystectomy: A double-blinded, randomised trial.

Acta anaesthesiologica Scandinavica
BACKGROUND: The clinical impact of prolonged steep Trendelenburg position and CO pneumoperitoneum during robot-assisted radical cystectomy (RC) on intraoperative conditions and immediate postoperative recovery remains to be assessed. The current stud...

Research on the potential for China to achieve carbon neutrality: A hybrid prediction model integrated with elman neural network and sparrow search algorithm.

Journal of environmental management
China's carbon reduction is of substantial significance in combating global climate change. In the context of the COVID-19 epidemic hit and economic and social development uncertainty, this study intends to discover whether China can attain the strat...

Machine learning-based models for predicting gas breakthrough pressure of porous media with low/ultra-low permeability.

Environmental science and pollution research international
Gas breakthrough pressure is a significant parameter for the gas exploration and safety evaluation of engineering barrier systems in the carbon dioxide storage, remediation of contaminated sites, and deep geological repository for disposal of high-le...

Prediction of biphasic separation in CO absorption using a molecular surface information-based machine learning model.

Environmental science. Processes & impacts
Carbon dioxide capture technologies have become a focus to overcome global warming. Biphasic absorbents are one of the promising approaches for energy-saving CO capture processes. These biphasic absorbents are mainly composed of a mixed solvent compo...

Intelligent Manufacturing and Carbon Emissions Reduction: Evidence from the Use of Industrial Robots in China.

International journal of environmental research and public health
Driven by the information technology revolution, using artificial intelligence to promote intelligent manufacturing while achieving carbon emissions reduction is increasingly the focus of international attention. Given this, based on the fact that Ch...

Detection of increased intracranial pressure in trans-oral robotic thyroidectomy using optic nerve sheath diameter measurement.

Head & neck
BACKGROUND: During transoral robot-assisted thyroidectomy, there is a risk of increasing intracranial pressure because the site of CO insufflation is narrow and close to the brain.

A novel grey prediction model with a feedforward neural network based on a carbon emission dynamic evolution system and its application.

Environmental science and pollution research international
The objective and accurate prediction of carbon dioxide emissions holds great significance for improving governmental energy policies and plans. Therefore, starting from an evolutionary system of carbon emissions, this paper studies the evolution of ...

Application of CO Supercritical Fluid to Optimize the Solubility of Oxaprozin: Development of Novel Machine Learning Predictive Models.

Molecules (Basel, Switzerland)
Over the last years, extensive motivation has emerged towards the application of supercritical carbon dioxide (SCCO) for particle engineering. SCCO has great potential for application as a green and eco-friendly technique to reach small crystalline p...