Results 291 to 300 of about 2,697,360 (401)

The Future of Hydrogen‐Powered Aviation: Technologies, Challenges, and a Strategic Roadmap for Sustainable Decarbonization

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
Hydrogen‐powered aviation offers a transformative pathway to zero‐emission flight by eliminating in‐flight CO2 emissions. Key considerations include propulsion systems (fuel cells and hydrogen combustion), cryogenic storage and insulation challenges, infrastructure and cost barriers, and supply‐chain constraints.
Mubasshira   +4 more
wiley   +1 more source

Quantification of Gaseous Products Evolved at Industrially Relevant Current Densities During CO2 Electroreduction and Water Electrolysis Using Online Gas Chromatography

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
The dilution of gaseous products obtained at high‐current densities during CO2 electroreduction or water electrolysis enables their accurate quantification via online gas chromatography, which is crucial for reliable catalyst benchmarking. The corresponding Faradaic efficiencies can then be calculated with low deviations using two different instruments,
Raíssa Ribeiro Lima Machado   +4 more
wiley   +1 more source

Storage, preservation, and rehabilitation of living heart valves to treat congenital heart disease. [PDF]

open access: yesMed
Cordoves EM   +5 more
europepmc   +1 more source

Scalable Liquid‐Phase Exfoliation of h‐BN for Solar‐Reflective and Thermally Stable Polymer Aerogels

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
High‐pressure homogenization exfoliates hexagonal boron nitride (h‐BN) into stable nanosheets, which are incorporated into PVA, CMC, and HEC matrices to form lightweight composite aerogels. Tuning h‐BN loading (0–50 wt%) transforms the structure from porous to densely packed, tailoring optical, thermal, and mechanical properties. An optimized PVA/20 wt%
Mouza Alaryani   +6 more
wiley   +1 more source

Aggregatibacter actinomycetemcomitans: From the Oral Cavity to the Heart Valves. [PDF]

open access: yesMicroorganisms
Talapko J   +9 more
europepmc   +1 more source

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo   +4 more
wiley   +1 more source

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