DEVELOPMENT OF RISK ASSESSMENT METHODS IN THE IMPLEMENTATION OF EXPLORATION PROJECTS

Autor: R. R. Imamov

Publikováno v: Стратегические решения и риск-менеджмент, Vol 14, Iss 3, Pp 256-261 (2024)

The peculiarity of oil and gas projects is their long implementation period, during which they are subject to the influence of a large number of different risk factors that complicate project implementation and result in failure to achieve the planne

Externí odkaz: https://doaj.org/article/9ca63fe9b8a844919f4175db32ca11f4

Predicting crime during or after psychiatric care:Evaluating machine learning for risk assessment using the Danish patient registries

Autor: M.L. Trinhammer, A.C. Holst Merrild, J.F. Lotz, G. Makransky

Publikováno v: Trinhammer, M L, Merrild, A C H, Lotz, J F & Makransky, G 2022, ' Predicting crime during or after psychiatric care : Evaluating machine learning for risk assessment using the Danish patient registries ', Journal of Psychiatric Research, vol. 152, pp. 194-200 . https://doi.org/10.1016/j.jpsychires.2022.06.009

Background: Structural changes in psychiatric systems have altered treatment opportunities for patients in need of mental healthcare. These changes are possibly associated with an increase in post-discharge crime, reported in the increase of forensic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2fa5d50f82e5954e8d50753b1037343
https://curis.ku.dk/ws/files/314296015/Predicting_crime_during_or_after_psychiatric_care.pdf

An optimal trading mechanism to address network resiliency in a distribution electricity market with high renewable penetration

Autor: Chen, Xi

With the rapid growth of distributed energy resources (DERs), the power system structure has gradually become more decentralised. This shift has encouraged customers to participate in the distribution market transactions and to break the monopoly of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ef1f31ad7badff3709b0ec5075dc4b24

Evaluating the predictiveness of continuous biomarkers

Autor: Huang, Ying

Publikováno v: Connect to this title online; UW restricted.

Thesis (Ph. D.)--University of Washington, 2007.
Vita. Includes bibliographical references (p. 200-214).

Externí odkaz: http://hdl.handle.net/1773/9558