Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.23736/S2724-5985.21.03038-2 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Learning, economies of scale, and knowledge gap effects on power generation technology cost improvements.
iScience
January 2025
International Institute for Applied Systems Analysis, Laxenburg, Lower Austria, Austria.
Cost reductions are essential for accelerating clean technology deployment. Because multiple factors influence costs, traditional one-factor learning models, solely relying on cumulative installed capacity as an explanatory variable, may oversimplify cost dynamics. In this study, we disentangle learning and economies of scale effects at unit and project levels and introduce a knowledge gap concept to quantify rapid technological change's impact on costs.
View Article and Find Full Text PDFEnvironmental impacts of restructuring the EU's natural gas supply and consumption: Learnings from the 2022 energy crisis.
iScience
January 2025
Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 1, 8093 Zürich, Switzerland.
In 2022, the European Union put forward the REPowerEU plan in response to Russia's invasion of Ukraine, aiming at enhancing short-term energy security by diversifying imports and reducing natural gas demand while accelerating the deployment of renewable alternatives in the long term. Here, we quantify the life cycle environmental impacts of both REPowerEU's short-term measures, including the controversial extended coal-fired power plant operations, and how the first year of the crisis was managed in practice. We find that the policy measures' impact on greenhouse gas (GHG) emissions would be negligible, although they could have detrimental effects on other environmental categories.
View Article and Find Full Text PDFBSP promotes skin wound healing by regulating the expression level of SCEL.
Cytotechnology
April 2025
Medical Aesthetics Teaching and Research Office, Rehabilitation and Health Department, Anhui College of Traditional Chinese Medicine, No.18 Wuxia mountain West Road, Wuhu, 241002 Anhui China.
Burn injuries are complex, life-threatening events involving intricate cellular and molecular processes, including angiogenesis, which is vital for effective wound healing. polysaccharide (BSP), a bioactive compound from , exhibits anti-inflammatory and wound-healing properties. However, its impact on angiogenesis modulation, particularly through the synaptopodin-2-like (SCEL) gene, remains poorly understood.
View Article and Find Full Text PDFA novel machine learning based framework for developing composite digital biomarkers of disease progression.
Front Digit Health
January 2025
Biostatistics and Research Decision Sciences, Merck & Co., Inc., Rahway, NJ, United States.
Background: Current methods of measuring disease progression of neurodegenerative disorders, including Parkinson's disease (PD), largely rely on composite clinical rating scales, which are prone to subjective biases and lack the sensitivity to detect progression signals in a timely manner. Digital health technology (DHT)-derived measures offer potential solutions to provide objective, precise, and sensitive measures that address these limitations. However, the complexity of DHT datasets and the potential to derive numerous digital features that were not previously possible to measure pose challenges, including in selection of the most important digital features and construction of composite digital biomarkers.
View Article and Find Full Text PDFPulse approach: a physics-guided machine learning model for thermal analysis in laser-based powder bed fusion of metals.
Prog Addit Manuf
July 2024
Empa Swiss Federal Laboratories for Materials Science and Technology, Überlandstrasse 129, 8600 Dübendorf, Switzerland.
Fast and accurate representation of heat transfer in laser powder-bed fusion of metals (PBF-LB/M) is essential for thermo-mechanical analyses. As an example, it benefits the detection of thermal hotspots at the design stage. While traditional physics-based numerical approaches such as the finite element (FE) method are applicable to a wide variety of problems, they are computationally too expensive for PBF-LB/M due to the space- and time-discretization requirements.
View Article and Find Full Text PDFWant 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!