Results 21 to 30 of about 5,669,348 (244)

Direct healthcare professional communications: A quantitative assessment study

Pharmacology Research & Perspectives, 2021
A retrospective observational study evaluated the direct healthcare professional communication (DHPC) letters disseminated by the Saudi Food and Drug Authority (SFDA) and their compliance with the pharmacovigilance guidelines.
Hajar Alsaleh, Thamir M. Alshammari
doaj   +1 more source

Optimal Dynamic Portfolio with Mean-CVaR Criterion

Risks, 2013
Value-at-risk (VaR) and conditional value-at-risk (CVaR) are popular risk measures from academic, industrial and regulatory perspectives. The problem of minimizing CVaR is theoretically known to be of a Neyman–Pearson type binary solution.
Mingxin Xu, Jing Li
doaj   +1 more source

Development of a Method to Study Evaporation of a Volatile Solvent in an Isolated Subsurface Structure: A Practical Exercise in Risk Minimization

Infrastructures, 2020
This article describes development and confirmatory testing of a method to study the evaporation of a volatile solvent containing ignitable ingredients in an isolated subsurface structure, a type of confined space.
Thomas Neil McManus, Ana Rosa, Assed Haddad   +2 more
doaj   +1 more source

Evaluation of the international customs interaction effectiveness by the mirror comparison method of statistical data on foreign trade

Управление, 2023
Most of the strategic directions for improving customs administration in the Russian Federation, due to their specifics, involve interaction with the customs authorities of foreign states.
A. A. Lisitsa
doaj   +1 more source

Diagnostics of factors affecting the stability of a construction organization work

Вестник СибАДИ, 2023
Introduction. For any construction organization (both for the contractor and the developer), it is important to have an idea of a degree of stability of their work.
O. A. Pobegaylov, N. O. Sizen, V. M. Dedlovskii   +2 more
doaj   +1 more source

Robust Risk Minimization for Statistical Learning From Corrupted Data

IEEE Open Journal of Signal Processing, 2020
We consider a general statistical learning problem where an unknown fraction of the training data is corrupted. We develop a robust learning method that only requires specifying an upper bound on the corrupted data fraction.
Muhammad Osama, Dave Zachariah, Petre Stoica   +2 more
doaj   +1 more source

Effect of the patient information brochure in communicating the risks associated with crizotinib treatment to patients with non‐small cell lung cancer (NSCLC) in Europe

Pharmacology Research & Perspectives, 2020
Crizotinib (XALKORI®) is indicated for anaplastic lymphoma kinase‐positive and ROS1‐positive advanced non‐small cell lung cancer. This study evaluated the distribution of the crizotinib patient information brochure (PIB) in Europe and patient knowledge ...
Kui Huang, Terri Madison, Beatrice Wehler, Marcello Tiseo, Keith D. Wilner, Jingping Mo   +5 more
doaj   +1 more source

ANALYSIS AND MINIMIZATION OF THE RISKS OF HARMFUL DEPENDENCIES IN THE PROCESS OF CONTINUOUS INTEGRATION AND IMPLEMENTATION OF SOFTWARE CODE

International Journal of Advanced Studies
Continuous integration and continuous deployment (CI/CD) processes have become essential elements of modern software development, enabling automation and optimization of work processes.
Danil N. Alekseev, Renat M. Khamitov
doaj   +1 more source

Application of modern software solutions in the management of chemical accidents caused by the transport of hazardous substances [PDF]

Војно дело, 2014
The rapid development of the chemical industry and the energy sector has become a key feature of the modern era. A large number of plants for the production of various raw materials and products, the operation of which is based on the use of hazardous ...
Ristić Slavoljub, Inđić Dejan, Karkalić Radovan   +2 more
doaj   +1 more source

Empirical Risk Minimization with Approximations of Probabilistic Grammars [PDF]

, 2010
Probabilistic grammars are generative statistical models that are useful for compositional and sequential structures. We present a framework, reminiscent of structural risk minimization, for empirical risk minimization of the parameters of a fixed ...
Smith, N. A., Cohen, S. B.
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