Results 71 to 80 of about 34,443 (295)

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Privatisation, Regulation, and Competition in South Asia [PDF]

Privatisation has begun to accelerate in India and Pakistan. However, it is not clear that a change in ownership per se will contribute significantly to a more rapid, efficient, and equitable growth unless policies that ensure competition for these ...
T. N. Srinivasan
core  

An assessment of the political will for oil and gas privatisation in Iran. [PDF]

, 2007
This study explores issues surrounding the potential for the privatisation of some of Iran’s national institutions. In particular, it addresses the issue of what the determinants of the Iranian policy of privatisation are, in order to ascertain whether ...
Reza Molavi,, Molavi, Reza
core  

Considérations sur les limites des privatisations en droit espagnol

Droit Public Comparé
Ce travail vise à analyser, sous l’angle juridique, le phénomène de la privatisation en Espagne et ses limites. Pour ce faire, il propose, dans un premier temps, une distinction conceptuelle entre la privatisation stricto sensu et la ...
Nuria Ruiz Palazuelos
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

The Privatisation of New Zealand Rail [PDF]

The methodology for the study involves determining the nature and amount of economic welfare gains and losses resulting from the privatisation of New Zealand Rail, and the incidence among groups in society.
NZ Institute for the Study of Competition and Regulation Inc
core  

Electricity sector reform in developing countries: an econometric assessment of the effects of privatisation, competition and regulation [PDF]

, 2008
Over the last two decades electricity sectors in both developed and developing countries have been subject to restructuring to introduce private capital and increase competition.
Zhang, Y F, Zhang, Yin-Fang, Parker, David, David Parker, Yin-Fang Zhang, Zhang, Yin Fang; id_orcid, Kirkpatrick, Colin, Parker, D, Colin Kirkpatrick   +8 more
core   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Shadow education as local education policy: how secretariats of education promote privatisation of test preparation services for the Saber 11 exam in Colombia’s public schools

Education Inquiry
This article investigates how Colombia’s decentralised Secretariats of Education (SoE) institutionalise exam-oriented preparation for Sabre 11, the mandatory upper-secondary exit exam governing higher-education access.
Jorge Celis
doaj   +1 more source