Results 221 to 230 of about 2,577,242 (312)
ABSTRACT The present study uses an agroeconomic supply model to assess the impacts of 2023–2027 CAP on Italian specialized dairy cattle farms. The model considers the voluntary choice of Eco‐Scheme 1, specifically addressed to livestock farms, through the implementation of binary variables.
Davide Dell'Unto, Raffaele Cortignani
wiley +1 more source
A Blockchain Framework for Scalable, High-Density IoT Networks of the Future. [PDF]
Maftei AA +3 more
europepmc +1 more source
Toward Energy Justice Principles for Sustainable Lithium‐Ion Battery Technologies
Prefeasibility life cycle assessment is used to evaluate the environmental, social, and supply chain impacts of lithium‐ion battery technologies, and the concept of distributional energy justice is discussed. By comparing chemistries and use cases, it reveals inequities in material sourcing and technology access.
Isabella D. R. Stephens +4 more
wiley +1 more source
Bitcoin research with a transaction graph dataset. [PDF]
Schnoering H, Vazirgiannis M.
europepmc +1 more source
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
Quantum deep learning-enhanced ethereum blockchain for cloud security: intrusion detection, fraud prevention, and secure data migration. [PDF]
Nagarjun AV, Rajkumar S.
europepmc +1 more source
Measuring the effects of distributed database models on transaction availability measures [PDF]
Ravi Mukkamala
openalex
Citizen Engagement for Social and Technological Innovation in Sustainable Energy Systems
This study underscores the potential of citizen participation in the energy transition by providing insights to foster citizen‐driven innovation. An analysis of energy communities, one of the most dynamic innovations in the energy sector, reveals that these models can be citizen‐led initiatives regarding their operational and organizational structure ...
Ana Belén Cristóbal +3 more
wiley +1 more source
This study integrates hybrid density functional theory, Boltzmann transport theory, and machine learning to accelerate the discovery of lead‐free halide double perovskites for thermoelectric energy conversion. By screening 102 compounds, the authors identify high‐performing candidates such as Rb2GeI6 and Cs2SnBr6, offering a sustainable pathway toward ...
Souraya Goumri‐Said +2 more
wiley +1 more source

