AIMC Topic: Carbon Dioxide
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Global Warming: Predicting OPEC Carbon Dioxide Emissions from Petroleum Consumption Using Neural Network and Hybrid Cuckoo Search Algorithm.
PloS one
Aug 25, 2015
BACKGROUND: Global warming is attracting attention from policy makers due to its impacts such as floods, extreme weather, increases in temperature by 0.7°C, heat waves, storms, etc. These disasters result in loss of human life and billions of dollars...
Respiratory gas exchange during robotic-assisted laparoscopic radical prostatectomy.
Journal of clinical anesthesia
Jul 3, 2015
STUDY OBJECTIVE: Robotic-assisted laparoscopic prostatectomy requires patients to be secured in a steep Trendelenburg position for several hours. Added to the CO2 pneumoperitoneum that is created, this positioning invariably restricts diaphragmatic a...
Influence of pneumoperitoneum pressure on surgical field during robotic and laparoscopic surgery: a comparative study.
Archives of gynecology and obstetrics
Sep 27, 2014
PURPOSE: Studies on the influence of CO₂ pneumoperitoneum on the abdominal cavity during robotic procedures are lacking. This is the first study to evaluate surgical field modifications related to CO₂ pressure, during laparoscopic and robotic surgery...
The effects of environmental and compositional manipulations on the longevity of Tessari-made foam for sclerotherapy.
Journal of vascular surgery. Venous and lymphatic disorders
Sep 4, 2014
BACKGROUND: Tessari-made foam sclerotherapy is performed around the world in a variety of clinics differing in methods, equipment, temperatures, and altitudes. We investigated how the following factors affected the foam's longevity: silicone vs nonsi...
Applied Machine Learning for Prediction of Energy-Efficient CO Desorption on Solid Acid Catalysts.
Environmental science & technology
Aug 12, 2025
The development of solid acid catalysts (SACs) for energy-efficient CO desorption and amine regeneration is critical to carbon capture commercialization. To avoid the time-consuming and ineffective screening process, a predictive model correlating th...
Machine Learning-Driven Prediction of Electrochemical Promotion in the Reverse Water Gas Shift Reaction.
Journal of chemical information and modeling
Aug 11, 2025
Electrochemical promotion of catalysis (EPOC) provides an effective and versatile strategy to enhance catalytic activity, selectivity, and stability in the reverse water-gas shift (RWGS) reaction, facilitating efficient CO hydrogenation to syngas und...
Intelligent monitoring of fruit and vegetable freshness in supply chain based on 3D printing and lightweight deep convolutional neural networks (DCNN).
Food chemistry
Jul 15, 2025
In this study, an innovative intelligent system for supervising the quality of fresh produce was proposed, which combined 3D printing technology and deep convolutional neural networks (DCNN). Through 3D printing technology, sensitive, lightweight, an...
Machine learning-based prediction of ambient CO and CH concentrations with high temporal resolution in Seoul metropolitan area.
Environmental pollution (Barking, Essex : 1987)
Jul 1, 2025
Machine learning has the potential to support the growing need for high-resolution greenhouse gas monitoring in urban and industrial environments, where deploying extensive sensor networks is often limited by cost and operational challenges. This stu...
Predicting the solubility of drugs in supercritical carbon dioxide using machine learning and atomic contribution.
European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V
Jun 1, 2025
The pharmaceutical sector is aware of supercritical CO (SC-CO) as a possible replacement for problematic organic solvents. Using a novel artificial intelligence (AI) strategy to predict drug solubility using the SC-CO system mathematically has been d...
Discovering Ultra-Stable Metal-Organic Frameworks for CO Capture from A Wet Flue Gas: Integrating Machine Learning and Molecular Simulation.
Environmental science & technology
May 13, 2025
The rapid increase in atmospheric CO, arising from anthropogenic sources, has posed a severe threat to global climate and raised widespread environmental concern. Metal-organic frameworks (MOFs) are promising adsorbents to potentially reduce CO emiss...
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