Zobrazeno 1 - 10
of 149
pro vyhledávání: '"ICSD"'
Publikováno v:
Public Administration and Policy, 2024, Vol. 27, Issue 1, pp. 6-18.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/PAP-03-2024-0037
Publikováno v:
Public Administration and Policy, Vol 27, Iss 1, Pp 6-18 (2024)
Purpose – Addressing Environmental, Social and Governance (ESG) issues has become a critical aspect of business strategy. Since ESG has primarily focused on ratings and measures for reporting, there is a scarcity of methods to assist stakeholders i
Externí odkaz:
https://doaj.org/article/be6b0b2ed2c04a3993b2efcb12a0d98d
Autor:
József GÖNCZI
Publikováno v:
Annals of the University of Oradea: Economic Science, Vol 32, Iss 1, Pp 126-141 (2023)
Sustainable Balanced Scorecard (SBSC), Organizational Sustainability Performance Index (OSPI), and Corporate Sustainability Index (ISE) are all tools that help organizations measure and manage their sustainability performance. SBSC integrates sust
Externí odkaz:
https://doaj.org/article/144049a587ee43ce889aff9c5511aaf9
Akademický článek
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Publikováno v:
Journal of Materiomics, Vol 8, Iss 3, Pp 678-684 (2022)
In this work, a machine learning (ML) model was created to predict intrinsic hardness of various compounds using their crystal chemistry. For this purpose, an initial dataset, containing the hardness values of 270 compounds and counterpart applied lo
Externí odkaz:
https://doaj.org/article/6e9fdbc93bab442a992a65fed465d77d
Publikováno v:
Frontiers in Energy Research, Vol 10 (2023)
This study examined an enhanced foam-flooding system incorporating nanoparticles and polymers under geological conditions of a reservoir of the Shu 16 block in the Yushulin oilfield. The system is mainly comprised of an anionic foaming agent (CQS-1)
Externí odkaz:
https://doaj.org/article/ee774891979b430789e40006a7a4447e
Publikováno v:
Molecules, Vol 27, Iss 11, p 3421 (2022)
In chemical systems, the arsenic-centered pnictogen bond, or simply the arsenic bond, occurs when there is evidence of a net attractive interaction between the electrophilic region associated with a covalently or coordinately bound arsenic atom in a
Externí odkaz:
https://doaj.org/article/d00396d5626d4e84bf7bbd2bbc3d4a20
Autor:
Dipendra Jha, Logan Ward, Arindam Paul, Wei-keng Liao, Alok Choudhary, Chris Wolverton, Ankit Agrawal
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-13 (2018)
Abstract Conventional machine learning approaches for predicting material properties from elemental compositions have emphasized the importance of leveraging domain knowledge when designing model inputs. Here, we demonstrate that by using a deep lear
Externí odkaz:
https://doaj.org/article/91d0cbe550334e66bd4c6aaf25de24d9
Akademický článek
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Autor:
Du Chenne, Janet
Publikováno v:
Global Custodian News. 2013, p74-74. 1p.