Results 231 to 240 of about 1,553,241 (295)

How does carbon pricing leverage emission reductions in the power sector? Evidence from China's national carbon market. [PDF]

Carbon Balance Manag
Song Y, Li Y, Peng K.
europepmc   +1 more source

Advancing European Plant Variety Registration: Data‐Driven Insights and Stakeholder Perspectives

Agribusiness, EarlyView.
ABSTRACT Efficient plant variety registration is crucial for fostering innovation in the European Union, yet the current regulatory framework is complex and faces calls for reform. This study provides data‐driven evidence to inform the ongoing legislative debate by employing a mixed‐methods approach.
Sergio Urioste Daza, Ibtissem Taghouti, José María Gil Roig   +2 more
wiley   +1 more source

Environmental monitoring and enterprise reduction of pollution and carbon emission: a micro-level examination based on energy scale and intensity effects. [PDF]

Carbon Balance Manag
Zhang Y, Shi Y, Li X, Wang H.
europepmc   +1 more source

Hybrid modeling for optimizing cell cultivation in mAb production using a small‐scale automated experimental platform

AIChE Journal, EarlyView.
Abstract This work presents the optimization of cell cultivation for monoclonal antibody (mAb) production. We developed a hybrid model describing the effects of multiple process variables on antibody productivity and impurity generation. An automated platform with 12 × 250 mL bioreactors was set up.
Kosuke Nemoto, Yuki Yoshiyama, Mizuki Morisasa, Junshin Iwabuchi, Yusuke Hayashi, Sara Badr, Hirokazu Sugiyama   +6 more
wiley   +1 more source

Unraveling how digital transformation affects innovation capability in China's smart manufacturing enterprises. [PDF]

Sci Rep
Qiu D, Qiu J.
europepmc   +1 more source

Financial providing of enterprises' innovation activity [PDF]

, 2012
Abriutina, Anastasiia Viktorivna, Абрютина, Анастасия Викторовна, Абрютіна, Анастасія Вікторівна   +2 more
core  

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Can data assetization drive high-quality enterprise development?-Evidence from China's "Specialized, refined, unique, and innovative" SMEs. [PDF]

PLoS One
Li L, Zhu J.
europepmc   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Intelligence analysis of digital technology innovation empowering enterprise green transformation: an empirical examination of mediating and moderating effects. [PDF]

Sci Rep
Qian Y, Cao L.
europepmc   +1 more source