Results 151 to 160 of about 6,925,473 (366)
Understanding Markets in Afghanistan: A Study of the Market in Second-hand Cars [PDF]
Industrial Organization,
Paterson, Anna
core +1 more source
Electrosynthesis of Bioactive Chemicals, From Ions to Pharmaceuticals
This review discusses recent advances in electrosynthesis for biomedical and pharmaceutical applications. It covers key electrochemical materials enabling precise delivery of ions and small molecules for cellular modulation and disease treatment, alongside catalytic systems for pharmaceutical synthesis.
Gwangbin Lee +4 more
wiley +1 more source
Dynamic Explanations of Industry Structure and Performance [PDF]
Industrial Organization,
Cotterill, Ronald W.
core +1 more source
In situ TEM uncovers the atomic‐scale mechanisms underlying hydrogen‐driven γ‐Fe2O3→Fe3O4→FeO reduction. In γ‐Fe2O3, oxygen vacancies cluster around intrinsic Fe vacancies, leading to nanopore formation, whereas in Fe3O4, vacancy aggregation is suppressed, preserving a dense structure.
Yupeng Wu +14 more
wiley +1 more source
Industrial organization and trade liberalization : evidence from Korea [PDF]
Drawing on evidence about industrial organization and market structure, the authors develop a computable general equilibrium model in selected industrial sectors with increasing returns to scale.
de Melo, Jaime, Roland-Holst, David
core
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source
The Evolution of Institutional Structure of Italian Agriculture: A Historical Reconstruction Through the Debate on Agricultural Holdings Classification [PDF]
Industrial Organization,
Rocchi, Benedetto, Stefani, Gianluca
core +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source

