Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1038/d41586-018-07585-6 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
This study intends to optimize the carbon footprint management model of power enterprises through artificial intelligence (AI) technology to help the scientific formulation of carbon emission reduction strategies. Firstly, a carbon footprint calculation model based on big data and AI is established, and then machine learning algorithm is used to deeply mine the carbon emission data of power enterprises to identify the main influencing factors and emission reduction opportunities. Finally, the driver-state-response (DSR) model is used to evaluate the carbon audit of the power industry and comprehensively analyze the effect of carbon emission reduction.
View Article and Find Full Text PDFComparison of a Series of Ga-Labeled DOTA-LLP2A Conjugates for Positron Emission Tomography Imaging of Very Late Antigen-4 in Melanoma.
Mol Pharm
January 2025
NHC Key Laboratory of Nuclear Medicine, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine, Wuxi 214063, China.
Melanoma, with its steadily rising global incidence, is characterized by high invasiveness, leading to poor prognosis in advanced stages. There remains an unmet clinical need for the development of radiolabeled PET imaging probes for the early diagnosis of melanoma. Integrin VLA-4, a key factor in melanoma metastasis, presents a promising protein target to address the specificity shortcomings of existing probes in melanoma imaging.
View Article and Find Full Text PDFDriving factors of ship-induced nitrogen dioxide concentrations over coastal seas of China: Implications for ship emission management.
J Environ Manage
December 2024
College of Management, Shenzhen University, Shenzhen 518073, China; Center for Marine Development,Macau University of Science and Technology, Macao, 999078, China; Shenzhen International Maritime Institute, Shenzhen 518081, China. Electronic address:
Ships generate large amounts of air pollutants, including nitrogen dioxide (NO) that profoundly impacts air quality and poses serious threats to human health. It is crucial to understand the dynamics and drivers of ship-induced NO concentrations in China to support the prevention and control of fine particulate matter (PM) and ozone (O) pollution. This study built Generalized Additive Models (GAMs) to reveal the nonlinear effects of meteorological factors and ship emissions on ship-induced NO concentrations based on the Tropospheric Monitoring Instrument (TROPOMI) satellite data, AIS based emission model and meteorological data.
View Article and Find Full Text PDFCoordinated charging of EV fleets in community parking lots to maximize benefits using a three-stage energy management system.
Sci Rep
December 2024
Department of Theoretical Electrical Engineering and Diagnostics of Electrical Equipment, Institute of Electrodynamics, National Academy of Sciences of Ukraine, Beresteyskiy, 56, Kyiv-57, Kyiv, 03680, Ukraine.
The rapid global adoption of electric vehicles (EVs) necessitates the development of advanced EV charging infrastructure to meet rising energy demands. In particular, community parking lots (CPLs) offer significant opportunities for coordinating EVs' charging. By integrating energy storage systems (ESSs), renewable energy sources (RESs), and building prosumers, substantial reductions in peak load and electricity costs can be achieved, while simultaneously promoting environmental sustainability.
View Article and Find Full Text PDFA simple model of the rheological curve of HPAM solutions at different temperatures.
Sci Rep
December 2024
Laboratorio de Fluidodinámica, Facultad de Ingeniería, Universidad de Buenos Aires/CONICET, Paseo Colón 850 CABA, Buenos Aires, Argentina.
Article Synopsis
- The oil and gas industry is grappling with climate change and resource depletion, prompting a shift towards enhanced recovery methods like polymer flooding, which boasts higher recovery rates and lower emissions.
- Existing physical models for predicting polymer flooding outcomes need improvement, particularly in accurately modeling the flow behavior of polymer solutions.
- The new PAMA-T model expands the original PAMA technique to make it applicable across a wider temperature range (298-343 K), enabling better predictions of rheological properties using minimal data input from viscosity measurements.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!