Results 171 to 180 of about 5,251 (295)

Assessing Photovoltaic Recycling Capacities and Policy Gaps in the European Union

Advanced Energy and Sustainability Research, EarlyView.
This study maps photovoltaic recycling capacity in the EU and key global regions, highlighting gaps between growing waste volumes and available infrastructure. It combines survey insights and policy analysis to identify recycling bottlenecks and offers recommendations to boost circularity in the solar sector.
Nieves Espinosa, Silvia Bobba, Cynthia E. L. Latunussa, Enrica Leccisi   +3 more
wiley   +1 more source

From human to posthuman bias: mapping discrimination in futuristic societies through speculative fiction. [PDF]

Front Sociol
Singh R, Gibu Sabu M.
europepmc   +1 more source

The Role of Actual and Purported Origin in e‐Commerce Wine Pricing: Evidence From Italian and French Names on Labels

Agribusiness, EarlyView.
ABSTRACT The origin of a product, if associated with good quality, can contribute to building a positive collective reputation, leading to a potential price premium. However, it is conceivable that a producer markets a product by evoking symbols, images, words, and values typical of places other than where it was designed or produced, creating a ...
Annalisa Caloffi, Amir Maghssudipour, Gianluca Stefani   +2 more
wiley   +1 more source

'A fiction author can do anything, we're bound by the facts': The risks and opportunities of taking advantage of cognitive biases in storytelling for science communication. [PDF]

Public Underst Sci
Little H, Dunstone J.
europepmc   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

A Call for Bio-Inspired Technologies: Promises and Challenges for Ecosystem Service Replacement. [PDF]

Biomimetics (Basel)
Wanieck K, Smith MA, Porter E, Zhang J, Dowhaniuk D, Jones A, Gillis D, Lipton M, Myrie MH, Bazely D, Eggermont M, Summers M, Smylitopoulos C, Cárdenas CIR, Wolf E, Karpouzou P, Zampaki N, Clitheroe H, Davies A, Castillo AH, Helms M, Benessaiah K, Jacobs S.   +22 more
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Temperature‐ and Light‐Regulated Liquid Crystal Smart Window for Dynamic Control of Daylight and Solar Heat in All‐Weather Conditions

Angewandte Chemie, EarlyView.
An environmentally adaptive smart window based on the interplay of light‐driven molecular motors and liquid crystal (LC) polymers is developed. The window can dynamically switch among three distinct working states: transparent, reflective, and scattering, depending on ambient temperature and solar light intensity, enabling excellent modulation of ...
Yang Zhang, Ying Wu, Wenxuan Liu, Xin Wang, Dirk J. Broer, Ben L. Feringa, Jiawen Chen   +6 more
wiley   +2 more sources

Enhancing climate resilience with proximal cues in personalized climate disaster preparedness messaging. [PDF]

Nat Hum Behav
Nobel N, Hiscox M.
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source